diff --git a/.gitignore b/.gitignore index a81e10c4..eb6d2935 100644 --- a/.gitignore +++ b/.gitignore @@ -166,4 +166,5 @@ cython_debug/ # local data gwserver/_database* -gwserver/results/* \ No newline at end of file +gwserver/results/* +*.log.* \ No newline at end of file diff --git a/config.ini b/config.ini index 8f803896..e4b85267 100644 --- a/config.ini +++ b/config.ini @@ -33,13 +33,13 @@ Security_FAILED_LOGIN_LIMIT = 5 Security_LOCK_DURATION_MINUTES = 30 # Agent Webcrawler configuration -Agent_Webcrawler_TIMEOUT = 10 -Agent_Webcrawler_MAX_URLS = 3 -Agent_Webcrawler_MAX_TOKENS = 30000 -Agent_Webcrawler_USER_AGENT = Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36 -Agent_Webcrawler_SEARCH_ENGINE = https://html.duckduckgo.com/html/?q= -Agent_Webcrawler_MAX_SEARCH_KEYWORDS = 3 -Agent_Webcrawler_MAX_SEARCH_RESULTS = 5 +Agent_Webcrawler_SERPAPI_ENGINE = google +Agent_Webcrawler_SERPAPI_APIKEY = 7304bd34bca767aa52dd3233297e30a9edc0abc57871f702b3f8238b9d3ee7bc +Agent_Webcrawler_SERPAPI_MAX_URLS = 3 +Agent_Webcrawler_SERPAPI_MAX_SEARCH_KEYWORDS = 3 +Agent_Webcrawler_SERPAPI_MAX_SEARCH_RESULTS = 5 +Agent_Webcrawler_SERPAPI_TIMEOUT = 10 +Agent_Webcrawler_SERPAPI_USER_AGENT = Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36 # Agent Coder configuration Agent_Coder_INSTALL_TIMEOUT = 180 diff --git a/env_prod.env b/env_prod.env index 2dc3727d..041943a5 100644 --- a/env_prod.env +++ b/env_prod.env @@ -25,7 +25,7 @@ APP_TOKEN_EXPIRY=300 APP_ALLOWED_ORIGINS=http://localhost:8080,https://playground.poweron-center.net # Logging configuration -APP_LOGGING_LOG_LEVEL = DEBUG +APP_LOGGING_LOG_LEVEL = WARNING APP_LOGGING_LOG_FILE = /home/poweron.log APP_LOGGING_FORMAT = %(asctime)s - %(levelname)s - %(name)s - %(message)s APP_LOGGING_DATE_FORMAT = %Y-%m-%d %H:%M:%S diff --git a/modules/agentCoder.py b/modules/agentCoder.py index 9e5b4d97..0286a157 100644 --- a/modules/agentCoder.py +++ b/modules/agentCoder.py @@ -131,13 +131,14 @@ class AgentCoder(AgentBase): # 4. Generate code using AI code, requirements = await self._generateCode(prompt, outputSpecs) - if not code: return { "feedback": "Failed to generate code for the task.", "documents": [] } - + # Store the original code without document data + original_clean_code = code # Save clean code for later use in improvement + # 5. Replace the placeholder with actual inputFiles data documentDataJson = repr(documentData) codeWithData = code.replace("inputFiles = \"=== JSONLOAD ===\"", f"inputFiles = {documentDataJson}") @@ -171,15 +172,17 @@ class AgentCoder(AgentBase): # Generate improved code based on error improvedCode, improvedRequirements = await self._improveCode( - originalCode=codeWithData, + originalCode=original_clean_code, # Use clean code without document data error=error, executionResult=executionResult, attempt=retryCount + 1, outputSpecs=outputSpecs ) - + if improvedCode: - codeWithData = improvedCode + # Inject document data into improved code + original_clean_code = improvedCode # Update clean code for next potential improvement + codeWithData = improvedCode.replace("inputFiles = \"=== JSONLOAD ===\"", f"inputFiles = {documentDataJson}") requirements = improvedRequirements logger.info(f"Code improved for retry {retryCount + 2}") else: @@ -313,14 +316,15 @@ STDOUT: {outputSpecsStr} INSTRUCTIONS: 1. Fix all errors identified in the error message -2. Diagnose and fix any logical issues -3. Pay special attention to: +2. If there is a requirements error for missing or failes modules, then create alternate code with other modules +3. Diagnose and fix any logical issues +4. Pay special attention to: - Type conversions and data handling - Error handling and edge cases - Resource management (file handles, etc.) - Syntax errors and typos -4. Keep the inputFiles handling logic intact -5. Maintain the same overall structure and purpose +5. Keep the inputFiles handling logic intact +6. Maintain the same overall structure and purpose OUTPUT REQUIREMENTS (VERY IMPORTANT): - Your code MUST define a 'result' variable as a dictionary to store ALL outputs diff --git a/modules/agentWebcrawler.py b/modules/agentWebcrawler.py index 5cce8176..cc2fe3f7 100644 --- a/modules/agentWebcrawler.py +++ b/modules/agentWebcrawler.py @@ -36,12 +36,18 @@ class AgentWebcrawler(AgentBase): ] # Web crawling configuration - self.maxUrl = int(APP_CONFIG.get("Agent_Webcrawler_MAX_URLS", "5")) - self.maxSearchTerms = int(APP_CONFIG.get("Agent_Webcrawler_MAX_SEARCH_KEYWORDS", "3")) - self.maxResults = int(APP_CONFIG.get("Agent_Webcrawler_MAX_SEARCH_RESULTS", "5")) - self.timeout = int(APP_CONFIG.get("Agent_Webcrawler_TIMEOUT", "30")) - self.searchEngine = APP_CONFIG.get("Agent_Webcrawler_SEARCH_ENGINE", "https://html.duckduckgo.com/html/?q=") - self.userAgent = APP_CONFIG.get("Agent_Webcrawler_USER_AGENT", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36") + self.srcApikey = APP_CONFIG.get("Agent_Webcrawler_SERPAPI_APIKEY","") + self.srcEngine = APP_CONFIG.get("Agent_Webcrawler_SERPAPI_ENGINE","google") + self.srcCountry = APP_CONFIG.get("Agent_Webcrawler_SERPAPI_COUNTRY","auto") + self.maxUrl = int(APP_CONFIG.get("Agent_Webcrawler_SERPAPI_MAX_URLS", "5")) + self.maxSearchTerms = int(APP_CONFIG.get("Agent_Webcrawler_SERPAPI_MAX_SEARCH_KEYWORDS", "3")) + self.maxResults = int(APP_CONFIG.get("Agent_Webcrawler_SERPAPI_MAX_SEARCH_RESULTS", "5")) + self.timeout = int(APP_CONFIG.get("Agent_Webcrawler_SERPAPI_TIMEOUT", "30")) + self.userAgent = APP_CONFIG.get("Agent_Webcrawler_SERPAPI_USER_AGENT", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36") + + if not self.srcApikey: + logger.error("SerpAPI key not configured") + def setDependencies(self, mydom=None): """Set external dependencies for the agent.""" @@ -589,7 +595,7 @@ class AgentWebcrawler(AgentBase): def _searchWeb(self, query: str) -> List[Dict[str, str]]: """ - Conduct a web search and return the results. + Conduct a web search using SerpAPI and return the results. Args: query: The search query @@ -597,69 +603,71 @@ class AgentWebcrawler(AgentBase): Returns: List of search results """ - formattedQuery = quote_plus(query) - url = f"{self.searchEngine}{formattedQuery}" - - searchResultsSoup = self._readUrl(url) - if not searchResultsSoup or not searchResultsSoup.select('.result'): - logger.warning(f"No search results found for: {query}") + if not self.srcApikey: return [] - - # Extract search results - results = [] - - # Find all result containers - resultElements = searchResultsSoup.select('.result') - for result in resultElements: - # Extract title - titleElement = result.select_one('.result__a') - title = titleElement.text.strip() if titleElement else 'No title' + # Get user language from mydom if available + userLanguage = "en" # Default language + if self.mydom.userLanguage: + userLanguage = self.mydom.userLanguage + + try: + # Format the search request for SerpAPI + params = { + "engine": self.srcEngine, + "q": query, + "api_key": self.srcApikey, + "num": self.maxResults, # Number of results to return + "hl": userLanguage # Identified user language + } + + # Make the API request + response = requests.get("https://serpapi.com/search", params=params, timeout=self.timeout) + response.raise_for_status() - # Extract URL (DuckDuckGo uses redirects) - urlElement = titleElement.get('href') if titleElement else '' - extractedUrl = 'No URL' + # Parse JSON response + search_results = response.json() - if urlElement: - # Extract actual URL from DuckDuckGo's redirect - if urlElement.startswith('/d.js?q='): - start = urlElement.find('?q=') + 3 - end = urlElement.find('&', start) if '&' in urlElement[start:] else None - extractedUrl = unquote(urlElement[start:end]) + # Extract organic results + results = [] + + if "organic_results" in search_results: + for result in search_results["organic_results"][:self.maxResults]: + # Extract title + title = result.get("title", "No title") - # Ensure URL has correct protocol prefix - if not extractedUrl.startswith(('http://', 'https://')): - if not extractedUrl.startswith('//'): - extractedUrl = 'https://' + extractedUrl - else: - extractedUrl = 'https:' + extractedUrl - else: - extractedUrl = urlElement - - # Extract snippet directly from search results page - snippetElement = result.select_one('.result__snippet') - snippet = snippetElement.text.strip() if snippetElement else 'No description' - - # Get actual page content - try: - targetPageSoup = self._readUrl(extractedUrl) - content = self._extractMainContent(targetPageSoup) - except Exception as e: - logger.warning(f"Error extracting content from {extractedUrl}: {str(e)}") - content = f"Error extracting content: {str(e)}" - - results.append({ - 'title': title, - 'url': extractedUrl, - 'snippet': snippet, - 'data': content - }) - - # Limit number of results - if len(results) >= self.maxResults: - break + # Extract URL + url = result.get("link", "No URL") + + # Extract snippet + snippet = result.get("snippet", "No description") + + # Get actual page content + try: + targetPageSoup = self._readUrl(url) + content = self._extractMainContent(targetPageSoup) + except Exception as e: + logger.warning(f"Error extracting content from {url}: {str(e)}") + content = f"Error extracting content: {str(e)}" + + results.append({ + 'title': title, + 'url': url, + 'snippet': snippet, + 'data': content + }) + + # Limit number of results + if len(results) >= self.maxResults: + break + else: + logger.warning(f"No organic results found in SerpAPI response for: {query}") - return results + return results + + except Exception as e: + logger.error(f"Error searching with SerpAPI for {query}: {str(e)}") + return [] def _readUrl(self, url: str) -> BeautifulSoup: """ diff --git a/modules/lucydomInterface.py b/modules/lucydomInterface.py index 54679543..ac779782 100644 --- a/modules/lucydomInterface.py +++ b/modules/lucydomInterface.py @@ -229,14 +229,15 @@ class LucyDOMInterface: # Regular users can create in most tables return True - # Language support methods + # Language support method def setUserLanguage(self, languageCode: str): """Set the user's preferred language""" self.userLanguage = languageCode - self.currentUser["language"] = languageCode logger.info(f"User language set to: {languageCode}") + # AI Call Root Function + async def callAi(self, messages: List[Dict[str, str]], produceUserAnswer: bool = False, temperature: float = None) -> str: """Enhanced AI service call with language support.""" if not self.aiService: @@ -679,7 +680,7 @@ class LucyDOMInterface: self.createFileData(dbFile["id"], fileContent) # Debug: Export file to static folder - self._exportFileToStatic(fileContent, dbFile["id"], fileName) + # self._exportFileToStatic(fileContent, dbFile["id"], fileName) logger.info(f"File upload process completed for: {fileName}") return dbFile diff --git a/modules/workflowManager.py b/modules/workflowManager.py index db4c4f65..087cb5a1 100644 --- a/modules/workflowManager.py +++ b/modules/workflowManager.py @@ -860,6 +860,13 @@ filesDelivered = {self.parseJson2text(matchingDocuments)} return preparedInputs + + async def messageSummarizeContent(self, content: Dict[str, Any]) -> str: + return await self.getContentExtraction( + content, + "Create a very concise summary (1-2 sentences, maximum 200 characters) about this content." + ) + async def processDocumentForAgent(self, document: Dict[str, Any], docSpec: Dict[str, Any]) -> Dict[str, Any]: """ Processes a document for an agent based on the document specification. @@ -880,83 +887,72 @@ filesDelivered = {self.parseJson2text(matchingDocuments)} processedContents = [] for content in processedDoc["contents"]: - # Check if part required if partSpec != "" and partSpec != content.get("name"): continue - # Get the data from the content - data = content.get("data", "") + # Get the prompt from the document specification + summary = docSpec.get("prompt", "Extract the relevant information from this document") + + # Process content using the shared helper function processedContent = content.copy() - - # Check if content data is base64 encoded - isBase64 = content.get("metadata", {}).get("base64Encoded", False) - - try: - # Use the AI service to process the document content according to the prompt from the project manager for the document specification - summary = docSpec.get("prompt", "Extract the relevant information from this document") - aiPrompt = f""" -# Please process the following document content according to this instruction: - -{summary} - - -# Document content: - -{data} - - -# Extract and provide only the relevant information as requested. -""" - - # Call the AI service through mydom for language support - processedData = await self.mydom.callAi([ - {"role": "system", "content": "You are a document processing assistant. Extract only the relevant information as requested."}, - {"role": "user", "content": aiPrompt} - ]) - - # DO NOT change the original data field - # processedContent["data"] unchanged - processedContent["dataExtracted"] = processedData - processedContent["metadata"]["aiProcessed"] = True - - except Exception as e: - logger.error(f"Error processing document content with AI: {str(e)}") - # Fall back to original content if AI processing fails - processedContent["dataExtracted"] = "(no information)" - + processedContent["dataExtracted"] = await self.getContentExtraction(content, summary) + processedContent["metadata"]["aiProcessed"] = True + processedContents.append(processedContent) processedDoc["contents"] = processedContents return processedDoc - async def messageSummarizeContent(self, content: Dict[str, Any]) -> str: + async def getContentExtraction(self, content: Dict[str, Any], prompt: str = None) -> str: """ - Generates a summary for a content item using AI. + Helper function that extracts or summarizes content based on its type (text/image/binary). Args: - content: Content item to summarize (already processed by getDocumentContents) + content: Content item to analyze + prompt: Optional custom prompt for extraction (default prompts used if not provided) Returns: - Brief summary of the content + Extracted or summarized content as text """ # Extract relevant information data = content.get("data", "") contentType = content.get("contentType", "text/plain") - isText = content.get("metadata", {}).get("isText", False) + base64Encoded = content.get("base64Encoded", False) + + # Default prompts if none provided + if prompt is None: + text_prompt = "Create a very concise summary (1-2 sentences, maximum 200 characters) about this content." + image_prompt = "Create a very concise summary (1-2 sentences, maximum 200 characters) about this image." + else: + text_prompt = prompt + image_prompt = prompt try: - # Use the mydom for language-aware AI calls - summary = await self.mydom.callAi([ - {"role": "system", "content": "You are a content summarizer. Create very concise summary (1-2 sentences, maximum 200 characters) about this file."}, - {"role": "user", "content": f"Summarize this {contentType} content briefly:\n\n{data}"} - ]) - return summary - + # For image content, use the specialized image analysis + if contentType.startswith("image/") or content.get("metadata", {}).get("isImage", False): + # analyzeImage handles base64 encoded data internally + return await self.mydom.analyzeImage(data, contentType, image_prompt) + + # For binary data (base64Encoded but not an image), provide a generic description + elif base64Encoded: + metadata = content.get("metadata", {}) + format_type = metadata.get("format", "unknown") + return f"Binary {format_type} data ({contentType})" + + # For text data, use the regular AI processing + else: + return await self.mydom.callAi([ + {"role": "system", "content": "You are a content analyzer. Process the provided content as instructed."}, + {"role": "user", "content": f"{text_prompt}\n\n{data}"} + ]) + except Exception as e: - logger.error(f"Error generating content summary: {str(e)}") - return f"Text content ({contentType})" + logger.error(f"Error processing content: {str(e)}") + return f"Content of type {contentType} (processing failed)" + + def messageAdd(self, workflow: Dict[str, Any], message: Dict[str, Any]) -> Dict[str, Any]: """ diff --git a/notes/changelog.txt b/notes/changelog.txt index dd61bde4..72a0aafe 100644 --- a/notes/changelog.txt +++ b/notes/changelog.txt @@ -1,20 +1,15 @@ ....................... TASKS -UI: Workflow reset does not reset log and messages view - ----------------------- OPEN PRIO1: CHECK: If pictures not displayed to check utf-8 encoding in the base64 string!! general file writing and reading (example with svg) -STOP File export to static folder ("TODO) - add connector to myoutlook - PRIO2: todo an agent for "code writing and editing" connected to the codebase, working in loops over each document... @@ -30,7 +25,12 @@ frontend to react frontend: no labels definition +PRIO3: +Tools to transfer incl funds: +- Google SERPAPI (shelly) +- Anthropic Claude (valueon + shelly) +- ----------------------- DONE diff --git a/notes/doc_system.md b/notes/doc_system.md new file mode 100644 index 00000000..3be83c91 --- /dev/null +++ b/notes/doc_system.md @@ -0,0 +1,643 @@ +# Agent Chat System Handbook + +# Einführung in das Agent Chat System Handbuch + +## Zweck und Umfang des Dokuments + +Willkommen zum "Agent Chat System Handbook". Dieses Handbuch dient als umfassende Anleitung für die Implementierung und Verwaltung eines Agent Chat Systems unter Verwendung von FastAPI. Es richtet sich an technische Fachkräfte, die für die Einrichtung, Verwaltung und Optimierung von Chat-Systemen verantwortlich sind. Ziel ist es, Ihnen die notwendigen Kenntnisse und Werkzeuge an die Hand zu geben, um ein effizientes und sicheres Chat-System zu entwickeln und zu betreiben. + +## Kontext und Hintergrundinformationen + +In der heutigen digitalen Welt sind Chat-Systeme ein wesentlicher Bestandteil der Kundenkommunikation und des Supports. Mit der zunehmenden Integration von Künstlicher Intelligenz (KI) in diese Systeme wird es immer wichtiger, robuste und skalierbare Lösungen zu entwickeln. FastAPI bietet eine moderne und leistungsstarke Plattform zur Erstellung von Web-APIs, die sich ideal für die Entwicklung eines solchen Systems eignet. Dieses Handbuch basiert auf den bereitgestellten FastAPI-Anwendungsdateien und bietet eine detaillierte Anleitung zur Implementierung eines Agent Chat Systems. + +## Inhalt des Dokuments + +Im "Agent Chat System Handbook" finden Sie detaillierte Informationen zu folgenden Themen: + +- **FastAPI Setup**: Schritt-für-Schritt-Anleitung zur Einrichtung der FastAPI-Umgebung. +- **Benutzerverwaltung**: Methoden zur Verwaltung von Benutzerkonten und -rollen. +- **KI-Integration**: Implementierung von KI-Funktionen zur Verbesserung der Chat-Interaktionen. +- **Authentifizierung**: Sicherstellung der Sicherheit und Integrität des Systems durch robuste Authentifizierungsmechanismen. +- **Mandatsverwaltung**: Verwaltung von Benutzerrechten und -mandaten innerhalb des Systems. +- **Attributverwaltung**: Umgang mit benutzerdefinierten Attributen und deren Verwaltung. +- **Prompt-Management**: Erstellung und Verwaltung von Eingabeaufforderungen für die KI-Interaktion. +- **Dateioperationen**: Verwaltung und Verarbeitung von Dateien innerhalb des Systems. +- **Workflow-Management**: Optimierung und Automatisierung von Arbeitsabläufen im Chat-System. + +## Ton und Zielgruppe + +Dieses Handbuch ist in einem formellen und technischen Ton verfasst, um den Anforderungen einer professionellen Leserschaft gerecht zu werden. Es richtet sich an Entwickler, Systemadministratoren und technische Projektleiter, die mit der Implementierung und Verwaltung von Chat-Systemen betraut sind. Wir empfehlen, dass die Leser über grundlegende Kenntnisse in FastAPI und Web-API-Entwicklung verfügen, um den maximalen Nutzen aus diesem Handbuch zu ziehen. + +Wir hoffen, dass dieses Handbuch Ihnen als wertvolle Ressource dient und Sie bei der erfolgreichen Implementierung Ihres Agent Chat Systems unterstützt. + +# Einführung + +## Zweck des Handbuchs + +Das "Agent Chat System Handbook" dient als umfassende Anleitung zur Implementierung und Nutzung des Agenten-Chat-Systems, das auf der FastAPI-Plattform basiert. Dieses Handbuch richtet sich an technische Anwender, die eine detaillierte Anleitung zur Einrichtung, Verwaltung und Optimierung des Systems benötigen. Es bietet eine strukturierte Übersicht über die verschiedenen Komponenten und Funktionen des Systems, um eine effiziente Nutzung und Anpassung zu gewährleisten. Ziel ist es, den Anwendern ein tiefes Verständnis der Systemarchitektur und der zugrunde liegenden Prozesse zu vermitteln, um eine reibungslose Integration und Verwaltung zu ermöglichen. + +## Systemübersicht + +Das Agenten-Chat-System ist eine leistungsstarke Plattform, die entwickelt wurde, um die Kommunikation zwischen Agenten und Nutzern zu optimieren. Es nutzt die FastAPI-Technologie, um eine schnelle und skalierbare Lösung zu bieten. Die Hauptkomponenten des Systems umfassen: + +- **Anwendungssetup**: Die FastAPI-Anwendung wird mit spezifischen Konfigurationen für Logging, CORS (Cross-Origin Resource Sharing) und Authentifizierung eingerichtet. Diese Konfigurationen sind entscheidend für die Sicherheit und Leistung der Anwendung. + +- **Benutzerverwaltung**: Ein robustes Modul zur Verwaltung von Benutzerkonten, das die Erstellung, Aktualisierung und Löschung von Benutzerprofilen ermöglicht. Es stellt sicher, dass nur autorisierte Benutzer Zugriff auf das System haben. + +- **Mandatsverwaltung**: Diese Komponente ermöglicht die Verwaltung von Mandaten, die den Zugriff und die Berechtigungen innerhalb des Systems regeln. Sie ist essenziell für die Einhaltung von Sicherheitsrichtlinien. + +- **Attributverwaltung**: Ein flexibles System zur Verwaltung von Attributen, die zur Personalisierung und Anpassung der Benutzererfahrung verwendet werden können. + +- **Prompt-Management**: Diese Funktion ermöglicht die Verwaltung von Eingabeaufforderungen, die zur Interaktion mit den Nutzern verwendet werden. Sie ist entscheidend für die Anpassung der Kommunikation an spezifische Anforderungen. + +- **Dateioperationen**: Ein Modul zur effizienten Handhabung von Dateivorgängen, das das Hochladen, Herunterladen und Verwalten von Dateien innerhalb des Systems unterstützt. + +- **Workflow-Management**: Diese Komponente ermöglicht die Definition und Verwaltung von Arbeitsabläufen, um die Effizienz und Konsistenz der Prozesse zu gewährleisten. + +- **KI-Integration**: Das System bietet eine nahtlose Integration von KI-Technologien, um die Interaktion und Entscheidungsfindung zu verbessern. + +- **Authentifizierung**: Ein sicheres Authentifizierungssystem, das sicherstellt, dass nur berechtigte Benutzer Zugriff auf die Anwendung haben. + +Dieses Handbuch wird detaillierte Anleitungen und Beispiele für jede dieser Komponenten bieten, um eine umfassende Unterstützung bei der Implementierung und Verwaltung des Agenten-Chat-Systems zu gewährleisten. + +# Application Setup + +In diesem Abschnitt des "Agent Chat System Handbook" wird die Einrichtung der Anwendung detailliert beschrieben. Diese Anleitung richtet sich an technische Benutzer und bietet eine umfassende Übersicht über die Initialisierung der FastAPI-Anwendung, die Konfiguration von statischen Dateien und die allgemeinen Endpunkte. + +## FastAPI Initialization + +Die Initialisierung der FastAPI-Anwendung ist der erste Schritt zur Einrichtung des Agent Chat Systems. Hierbei werden grundlegende Parameter und Konfigurationen festgelegt, die für den Betrieb der Anwendung erforderlich sind. + +### Schritte zur Initialisierung: + +1. **Anwendungserstellung**: + - Die FastAPI-Anwendung wird mit einem Titel und einer Beschreibung initialisiert. Diese Informationen sind nützlich für die Dokumentation und API-Dokumentationsseiten. + - Beispiel: + ```python + from fastapi import FastAPI + + app = FastAPI( + title="Agent Chat System", + description="Ein System zur Verwaltung von Agenten-Chats" + ) + ``` + +2. **Lebenszyklus-Management**: + - Die Anwendung verwendet einen Lebenszyklus-Manager, um Ereignisse beim Start und Herunterfahren der Anwendung zu verwalten. Dies ist entscheidend für die ordnungsgemäße Ressourcenverwaltung. + - Beispiel: + ```python + @app.on_event("startup") + async def startup_event(): + # Initialisierungslogik hier + + @app.on_event("shutdown") + async def shutdown_event(): + # Bereinigungslogik hier + ``` + +3. **CORS-Konfiguration**: + - Die Cross-Origin Resource Sharing (CORS) Einstellungen werden konfiguriert, um den Zugriff von verschiedenen Ursprüngen zu ermöglichen, was besonders wichtig für Webanwendungen ist, die auf verschiedenen Domains gehostet werden. + +## Static Files Setup + +Die Konfiguration von statischen Dateien ermöglicht es der Anwendung, Ressourcen wie Bilder, CSS-Dateien und JavaScript-Dateien bereitzustellen, die für die Benutzeroberfläche benötigt werden. + +### Schritte zur Konfiguration: + +1. **Verzeichnis für statische Dateien**: + - Ein Verzeichnis wird definiert, in dem alle statischen Dateien gespeichert werden. Dieses Verzeichnis wird in der Regel relativ zum Projektverzeichnis angegeben. + - Beispiel: + ```python + from fastapi.staticfiles import StaticFiles + + app.mount("/static", StaticFiles(directory="static"), name="static") + ``` + +2. **Zugriff auf statische Dateien**: + - Die Anwendung stellt sicher, dass die statischen Dateien über einen bestimmten URL-Pfad zugänglich sind, was die Bereitstellung und den Zugriff auf diese Ressourcen erleichtert. + +## Endpoints Overview + +Die Endpunkte der Anwendung sind die Schnittstellen, über die externe Systeme und Benutzer mit der Anwendung interagieren können. Eine klare Übersicht über die verfügbaren Endpunkte ist entscheidend für die Integration und Nutzung der Anwendung. + +### Allgemeine Endpunkte: + +1. **Benutzerverwaltung**: + - Endpunkte zur Erstellung, Aktualisierung und Löschung von Benutzern. + - Beispiel: + ```python + @app.post("/users/") + async def create_user(user: User): + # Logik zur Benutzererstellung + ``` + +2. **Mandatsverwaltung**: + - Endpunkte zur Verwaltung von Mandaten, einschließlich der Zuweisung und Verwaltung von Berechtigungen. + +3. **Attributverwaltung**: + - Endpunkte zur Verwaltung von Attributen, die für die Anpassung und Personalisierung der Agenten-Chats verwendet werden. + +4. **Prompt-Management**: + - Endpunkte zur Verwaltung von Eingabeaufforderungen, die für die Interaktion mit Benutzern verwendet werden. + +Diese detaillierte Anleitung zur Einrichtung der Anwendung stellt sicher, dass technische Benutzer die FastAPI-Anwendung korrekt initialisieren und konfigurieren können, um eine reibungslose Funktionalität des Agent Chat Systems zu gewährleisten. + +# Logging + +In diesem Abschnitt des "Agent Chat System Handbook" wird die Konfiguration und Einrichtung des Loggings im Rahmen der FastAPI-Anwendung beschrieben. Eine ordnungsgemäße Protokollierung ist entscheidend für die Überwachung und Fehlerbehebung der Anwendung. Dieser Abschnitt ist in zwei Hauptunterabschnitte unterteilt: Initialisierung und Handler. + +## Initialisierung + +Die Initialisierung des Loggings ist ein wesentlicher Schritt, um sicherzustellen, dass alle Ereignisse innerhalb der Anwendung korrekt erfasst werden. Die Konfiguration des Loggings erfolgt in der Regel zu Beginn der Anwendung, um sicherzustellen, dass alle nachfolgenden Prozesse und Ereignisse protokolliert werden. + +### Beispiel für die Logging-Initialisierung + +```python +import logging + +def initialize_logging(): + logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', + handlers=[ + logging.FileHandler("app.log"), + logging.StreamHandler() + ] + ) +``` + +In diesem Beispiel wird das Logging mit einem Basislevel von `INFO` konfiguriert. Die Formatierung der Log-Nachrichten umfasst das Datum und die Uhrzeit, den Namen des Loggers, die Log-Stufe und die eigentliche Nachricht. Zwei Handler werden eingerichtet: ein `FileHandler`, der die Logs in eine Datei schreibt, und ein `StreamHandler`, der die Logs auf der Konsole ausgibt. + +## Handler + +Handler sind ein wesentlicher Bestandteil des Loggings, da sie bestimmen, wohin die Log-Nachrichten gesendet werden. In der FastAPI-Anwendung können verschiedene Arten von Handlern eingerichtet werden, um die Protokollierung flexibel und anpassbar zu gestalten. + +### Einrichtung von Handlers + +1. **FileHandler**: Dieser Handler schreibt Log-Nachrichten in eine Datei. Er ist nützlich für die langfristige Speicherung von Logs und die spätere Analyse. + + ```python + file_handler = logging.FileHandler('app.log') + file_handler.setLevel(logging.INFO) + ``` + +2. **StreamHandler**: Dieser Handler gibt Log-Nachrichten auf der Konsole aus. Er ist besonders nützlich für die Echtzeitüberwachung während der Entwicklung und des Debuggings. + + ```python + stream_handler = logging.StreamHandler() + stream_handler.setLevel(logging.DEBUG) + ``` + +3. **Custom Handler**: Bei Bedarf können benutzerdefinierte Handler erstellt werden, um spezielle Anforderungen zu erfüllen, wie z.B. das Senden von Logs an externe Systeme oder Dienste. + +### Beispiel für die Handler-Konfiguration + +```python +logger = logging.getLogger('agent_chat_system') +logger.setLevel(logging.DEBUG) + +# Hinzufügen der Handler zum Logger +logger.addHandler(file_handler) +logger.addHandler(stream_handler) +``` + +In diesem Beispiel wird ein Logger mit dem Namen `agent_chat_system` erstellt und auf das Level `DEBUG` gesetzt. Die zuvor definierten `FileHandler` und `StreamHandler` werden dem Logger hinzugefügt, um die Log-Nachrichten sowohl in eine Datei als auch auf der Konsole auszugeben. + +Durch die sorgfältige Konfiguration von Logging und Handlers kann die FastAPI-Anwendung effektiv überwacht und gewartet werden, was zu einer verbesserten Stabilität und Fehlerbehebung führt. + +# Benutzerverwaltung + +In diesem Abschnitt des "Agent Chat System Handbook" wird die Benutzerverwaltung detailliert beschrieben. Die Benutzerverwaltung ist ein zentraler Bestandteil des Systems, da sie die Zuweisung von Rollen und Berechtigungen sowie die Authentifizierungsmechanismen umfasst. Diese Aspekte sind entscheidend für die Sicherheit und Effizienz des Systems. + +## Rollen und Berechtigungen + +### Benutzerrollen + +Benutzerrollen definieren die verschiedenen Zugriffsebenen und Verantwortlichkeiten innerhalb des Agent Chat Systems. Jede Rolle hat spezifische Berechtigungen, die den Zugriff auf bestimmte Funktionen und Daten steuern. Die Hauptrollen sind: + +- **Administrator**: Hat umfassende Berechtigungen, einschließlich der Verwaltung von Benutzern, Rollen und Systemeinstellungen. +- **Agent**: Kann auf die Chat-Funktionalitäten zugreifen und mit Kunden interagieren. +- **Supervisor**: Überwacht die Aktivitäten der Agenten und hat Zugriff auf Berichte und Analysen. + +### Berechtigungen + +Berechtigungen sind spezifische Rechte, die einer Rolle zugewiesen werden. Sie bestimmen, welche Aktionen ein Benutzer innerhalb des Systems ausführen kann. Beispiele für Berechtigungen sind: + +- Zugriff auf das Dashboard +- Verwaltung von Benutzerkonten +- Einsicht in Berichte und Statistiken +- Konfiguration von Systemeinstellungen + +Die Zuweisung von Rollen und Berechtigungen erfolgt über die Administrationsoberfläche des Systems, wo Administratoren die Möglichkeit haben, Benutzerkonten zu erstellen und zu verwalten. + +## Authentifizierung + +### Authentifizierungsmechanismen + +Die Authentifizierung ist ein kritischer Sicherheitsaspekt des Agent Chat Systems. Sie stellt sicher, dass nur autorisierte Benutzer Zugriff auf das System erhalten. Die gängigen Authentifizierungsmechanismen umfassen: + +- **Passwortbasierte Authentifizierung**: Benutzer melden sich mit einem Benutzernamen und einem Passwort an. Es wird empfohlen, starke Passwörter zu verwenden und regelmäßige Passwortänderungen durchzuführen. + +- **Zwei-Faktor-Authentifizierung (2FA)**: Erhöht die Sicherheit, indem ein zusätzlicher Verifizierungsschritt hinzugefügt wird, z.B. ein einmaliger Code, der an das Mobiltelefon des Benutzers gesendet wird. + +- **OAuth 2.0**: Ermöglicht die Authentifizierung über Drittanbieter, wie Google oder Facebook, was den Anmeldeprozess für Benutzer vereinfacht und die Sicherheit erhöht. + +### Implementierung in FastAPI + +Die FastAPI-Anwendung implementiert diese Authentifizierungsmechanismen durch die Integration von Sicherheitsprotokollen und Middleware. Die Konfiguration erfolgt in der `app.py` Datei, wo die Authentifizierungslogik definiert ist. Hier ein Beispiel für die Implementierung der passwortbasierten Authentifizierung: + +```python +from fastapi import FastAPI, Depends +from fastapi.security import OAuth2PasswordBearer + +app = FastAPI() + +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") + +@app.post("/token") +async def login(form_data: OAuth2PasswordRequestForm = Depends()): + # Authentifizierungslogik hier + return {"access_token": "token", "token_type": "bearer"} +``` + +Diese Struktur ermöglicht eine flexible und sichere Verwaltung der Benutzerzugriffe und gewährleistet, dass das System den aktuellen Sicherheitsstandards entspricht. + +Durch die sorgfältige Verwaltung von Rollen, Berechtigungen und Authentifizierungsmechanismen wird sichergestellt, dass das Agent Chat System sowohl sicher als auch effizient betrieben werden kann. + +# Mandate Management + +In diesem Abschnitt des "Agent Chat System Handbook" wird das Mandatsmanagement detailliert beschrieben. Das Mandatsmanagement ist ein wesentlicher Bestandteil des Systems, der die Erstellung und Verwaltung von Mandaten umfasst. Diese Funktionen sind entscheidend für die Organisation und den Betrieb des Agenten-Chat-Systems. + +## Mandate Creation + +### Erstellung von Mandaten + +Die Erstellung von Mandaten ist der erste Schritt im Mandatsmanagement. Ein Mandat definiert die spezifischen Aufgaben und Verantwortlichkeiten, die einem Agenten oder einer Gruppe von Agenten zugewiesen werden. Die Erstellung eines Mandats erfolgt in mehreren Schritten: + +1. **Initialisierung**: Beginnen Sie mit der Definition der grundlegenden Parameter des Mandats, einschließlich des Titels, der Beschreibung und der beteiligten Agenten. + +2. **Zuweisung von Aufgaben**: Weisen Sie spezifische Aufgaben oder Ziele zu, die im Rahmen des Mandats erreicht werden sollen. Diese Aufgaben sollten klar definiert und messbar sein. + +3. **Festlegung von Fristen**: Bestimmen Sie die zeitlichen Rahmenbedingungen für das Mandat, einschließlich Start- und Enddatum sowie Meilensteine. + +4. **Ressourcenzuweisung**: Stellen Sie sicher, dass die notwendigen Ressourcen, wie z.B. technische Tools oder Daten, den Agenten zur Verfügung stehen. + +5. **Genehmigung**: Das Mandat muss von einer autorisierten Person oder einem Gremium genehmigt werden, bevor es aktiv wird. + +## Mandate Lifecycle + +### Lebenszyklus eines Mandats + +Der Lebenszyklus eines Mandats umfasst mehrere Phasen, die sicherstellen, dass das Mandat effektiv verwaltet und abgeschlossen wird: + +1. **Initiierung**: Nach der Erstellung wird das Mandat offiziell gestartet. Alle beteiligten Parteien werden informiert und die notwendigen Ressourcen bereitgestellt. + +2. **Durchführung**: In dieser Phase arbeiten die Agenten an den zugewiesenen Aufgaben. Fortschritte werden regelmäßig überwacht und dokumentiert. + +3. **Überwachung und Anpassung**: Der Fortschritt des Mandats wird kontinuierlich überwacht. Bei Bedarf werden Anpassungen vorgenommen, um sicherzustellen, dass die Ziele erreicht werden. + +4. **Abschluss**: Nach Erreichen der Ziele oder dem Ende der Laufzeit wird das Mandat abgeschlossen. Eine abschließende Bewertung wird durchgeführt, um den Erfolg zu messen und Erkenntnisse für zukünftige Mandate zu gewinnen. + +5. **Archivierung**: Alle relevanten Dokumente und Berichte werden archiviert, um eine Nachverfolgbarkeit und Referenz für zukünftige Projekte zu gewährleisten. + +## Managing Mandates + +### Verwaltung von Mandaten + +Die Verwaltung von Mandaten erfordert eine kontinuierliche Überwachung und Anpassung, um sicherzustellen, dass die gesetzten Ziele erreicht werden. Zu den wichtigsten Verwaltungsaufgaben gehören: + +- **Statusüberprüfung**: Regelmäßige Überprüfung des Status und Fortschritts des Mandats. +- **Kommunikation**: Sicherstellen, dass alle Beteiligten über den Fortschritt und etwaige Änderungen informiert sind. +- **Risikomanagement**: Identifizierung und Management potenzieller Risiken, die den Erfolg des Mandats gefährden könnten. +- **Berichterstattung**: Erstellung regelmäßiger Berichte, um den Fortschritt zu dokumentieren und Transparenz zu gewährleisten. + +Durch die sorgfältige Erstellung und Verwaltung von Mandaten wird sichergestellt, dass das Agenten-Chat-System effizient und effektiv arbeitet, um die gesteckten Ziele zu erreichen. + +# Attribute Handling + +In diesem Abschnitt des "Agent Chat System Handbook" wird die Handhabung von Attributen im System detailliert beschrieben. Attribute sind wesentliche Komponenten, die zur Verwaltung und Organisation von Daten innerhalb des Systems verwendet werden. Dieser Abschnitt behandelt die verschiedenen Typen von Attributen und die Operationen, die auf ihnen ausgeführt werden können. + +## Typen von Attributen + +Attribute im Agent Chat System sind in verschiedene Kategorien unterteilt, die jeweils spezifische Funktionen und Anwendungsbereiche haben. Die wichtigsten Attributtypen sind: + +### 1. Systemattribute +Systemattribute sind vordefinierte Attribute, die für die grundlegende Funktionalität des Systems erforderlich sind. Sie werden automatisch vom System verwaltet und können nicht vom Benutzer geändert werden. Beispiele für Systemattribute sind Benutzer-ID, Erstellungsdatum und Änderungsdatum. + +### 2. Benutzerdefinierte Attribute +Benutzerdefinierte Attribute werden von den Benutzern erstellt, um spezifische Anforderungen zu erfüllen. Diese Attribute bieten Flexibilität und Anpassungsfähigkeit, indem sie es den Benutzern ermöglichen, zusätzliche Informationen zu speichern, die nicht durch Systemattribute abgedeckt sind. Ein Beispiel könnte ein Attribut für die bevorzugte Sprache eines Benutzers sein. + +### 3. Temporäre Attribute +Temporäre Attribute werden für kurzfristige Zwecke erstellt und haben eine begrenzte Lebensdauer. Sie werden häufig in Sitzungen oder für bestimmte Operationen verwendet, bei denen die Daten nicht dauerhaft gespeichert werden müssen. Ein Beispiel wäre ein Attribut, das während einer Chat-Sitzung verwendet wird, um den aktuellen Status eines Gesprächs zu verfolgen. + +## Operationen auf Attributen + +Die Verwaltung von Attributen umfasst eine Vielzahl von Operationen, die es ermöglichen, Attribute zu erstellen, zu ändern, zu löschen und zu analysieren. Die wichtigsten Operationen sind: + +### 1. Erstellung von Attributen +Die Erstellung von Attributen erfolgt entweder automatisch durch das System (für Systemattribute) oder manuell durch den Benutzer (für benutzerdefinierte Attribute). Bei der Erstellung eines Attributs müssen der Attributtyp, der Name und der Datentyp spezifiziert werden. + +### 2. Aktualisierung von Attributen +Attribute können aktualisiert werden, um Änderungen in den Daten widerzuspiegeln. Dies umfasst das Ändern von Attributwerten oder das Aktualisieren von Attributmetadaten. Beispielsweise kann ein Benutzer das Attribut "Telefonnummer" aktualisieren, um eine neue Nummer zu speichern. + +### 3. Löschung von Attributen +Nicht mehr benötigte Attribute können gelöscht werden. Bei der Löschung von Attributen ist Vorsicht geboten, da dies irreversible Änderungen an den gespeicherten Daten zur Folge haben kann. Systemattribute können in der Regel nicht gelöscht werden, um die Integrität des Systems zu gewährleisten. + +### 4. Abfrage von Attributen +Das System ermöglicht die Abfrage von Attributen, um Informationen zu extrahieren und Berichte zu erstellen. Dies ist besonders nützlich für die Analyse von Daten und die Generierung von Einblicken. Beispielsweise kann ein Administrator eine Abfrage durchführen, um alle Benutzer mit einem bestimmten Attributwert zu identifizieren. + +### 5. Validierung von Attributen +Die Validierung von Attributen stellt sicher, dass die eingegebenen Daten den festgelegten Kriterien entsprechen. Dies umfasst die Überprüfung von Datentypen, Wertebereichen und anderen Einschränkungen. Eine korrekte Validierung ist entscheidend, um Datenintegrität und -konsistenz zu gewährleisten. + +Durch das Verständnis der verschiedenen Attributtypen und der auf ihnen ausführbaren Operationen können Benutzer das Agent Chat System effektiver nutzen und an ihre spezifischen Bedürfnisse anpassen. + +# Prompt Management + +In diesem Abschnitt des "Agent Chat System Handbook" wird die Verwaltung von Prompts behandelt. Prompts sind wesentliche Bestandteile des Agent Chat Systems, da sie die Interaktion zwischen Benutzern und dem System steuern. Dieser Abschnitt bietet eine detaillierte Anleitung zur Erstellung und Nutzung von Prompts. + +## Erstellen von Prompts + +Die Erstellung von Prompts ist ein zentraler Bestandteil der Systemkonfiguration und ermöglicht es, spezifische Anfragen oder Anweisungen für die Interaktion mit dem System zu definieren. + +### Schritte zur Erstellung von Prompts + +1. **Identifikation des Bedarfs**: Bestimmen Sie den spezifischen Bedarf oder das Szenario, für das ein Prompt erforderlich ist. Dies könnte eine häufig gestellte Frage oder eine spezifische Anweisung sein, die regelmäßig benötigt wird. + +2. **Definition des Inhalts**: Formulieren Sie den Inhalt des Prompts klar und präzise. Der Inhalt sollte direkt und verständlich sein, um Missverständnisse zu vermeiden. + +3. **Formatierung**: Achten Sie darauf, dass der Prompt in einem konsistenten Format erstellt wird, das mit den anderen Systemkomponenten kompatibel ist. Nutzen Sie Markdown oder andere unterstützte Formate, um die Lesbarkeit zu verbessern. + +4. **Implementierung im System**: Integrieren Sie den erstellten Prompt in das System. Dies kann durch die Anpassung der entsprechenden Konfigurationsdateien oder durch die Nutzung der API-Schnittstellen erfolgen. + +### Beispiel + +```json +{ + "prompt_id": "faq_shipping", + "content": "Wie lange dauert der Versand?", + "response": "Der Versand dauert in der Regel 3-5 Werktage." +} +``` + +## Nutzung von Prompts + +Die Nutzung von Prompts ist entscheidend, um eine effiziente und konsistente Kommunikation innerhalb des Agent Chat Systems sicherzustellen. + +### Schritte zur Nutzung von Prompts + +1. **Abrufen von Prompts**: Verwenden Sie die API-Endpunkte, um verfügbare Prompts abzurufen. Dies ermöglicht es Agenten, schnell auf vorgefertigte Antworten zuzugreifen. + +2. **Anpassung an den Kontext**: Stellen Sie sicher, dass der ausgewählte Prompt dem aktuellen Kontext der Benutzeranfrage entspricht. Passen Sie den Inhalt gegebenenfalls an, um spezifische Details oder Variationen zu berücksichtigen. + +3. **Feedback und Optimierung**: Sammeln Sie regelmäßig Feedback zur Effektivität der Prompts und optimieren Sie diese basierend auf den Rückmeldungen. Dies kann durch die Analyse von Benutzerinteraktionen und die Anpassung der Inhalte erfolgen. + +### Beispiel + +Ein Agent erhält eine Anfrage zu den Versandzeiten. Anstatt die Antwort manuell zu formulieren, ruft der Agent den entsprechenden Prompt ab und liefert eine konsistente und schnelle Antwort. + +```json +{ + "user_query": "Wann kommt meine Bestellung an?", + "prompt_used": "faq_shipping", + "response": "Der Versand dauert in der Regel 3-5 Werktage." +} +``` + +Durch die strukturierte Verwaltung und Nutzung von Prompts wird die Effizienz des Agent Chat Systems erheblich gesteigert, was zu einer verbesserten Benutzererfahrung führt. + +# File Operations + +In diesem Abschnitt des "Agent Chat System Handbook" werden die wesentlichen Aspekte der Dateiverwaltung und -speicherung im Rahmen des Agent Chat Systems behandelt. Diese Informationen sind entscheidend für die technische Verwaltung und den Betrieb des Systems. Der Abschnitt ist in zwei Hauptunterabschnitte unterteilt: "Handling Files" und "Storing Files". + +## Handling Files + +Die Handhabung von Dateien ist ein zentraler Bestandteil des Agent Chat Systems, da es die Interaktion mit verschiedenen Dateitypen ermöglicht, die für die Funktionalität des Systems erforderlich sind. + +### Dateiverwaltung + +- **Öffnen und Schließen von Dateien**: Dateien sollten mit geeigneten Methoden geöffnet und geschlossen werden, um Datenverlust oder -beschädigung zu vermeiden. In Python wird dies häufig mit dem `with`-Statement erreicht, das sicherstellt, dass Dateien nach der Verwendung ordnungsgemäß geschlossen werden. + + ```python + with open('datei.txt', 'r') as file: + inhalt = file.read() + ``` + +- **Lesen und Schreiben von Dateien**: Das System unterstützt sowohl das Lesen als auch das Schreiben von Dateien. Es ist wichtig, die korrekten Modi (`'r'` für Lesen, `'w'` für Schreiben, `'a'` für Anhängen) zu verwenden, um die Integrität der Daten zu gewährleisten. + +- **Fehlerbehandlung**: Beim Umgang mit Dateien können verschiedene Fehler auftreten, wie z.B. `FileNotFoundError` oder `IOError`. Eine robuste Fehlerbehandlung ist notwendig, um das System vor unerwarteten Abstürzen zu schützen. + + ```python + try: + with open('datei.txt', 'r') as file: + inhalt = file.read() + except FileNotFoundError: + print("Die Datei wurde nicht gefunden.") + ``` + +## Storing Files + +Die Speicherung von Dateien ist ein weiterer kritischer Aspekt, der sicherstellt, dass Daten sicher und effizient abgelegt werden. + +### Dateispeicherung + +- **Verzeichnisstruktur**: Eine gut organisierte Verzeichnisstruktur ist entscheidend für die effiziente Speicherung und den schnellen Zugriff auf Dateien. Es wird empfohlen, Dateien in thematisch geordneten Unterverzeichnissen zu speichern. + +- **Datenbankintegration**: In einigen Fällen kann es notwendig sein, Dateien in einer Datenbank zu speichern, insbesondere wenn Metadaten oder eine hohe Zugriffsgeschwindigkeit erforderlich sind. Das System kann Datenbanklösungen wie PostgreSQL oder MongoDB integrieren, um Dateien und ihre Metadaten zu verwalten. + +- **Sicherheitsaspekte**: Bei der Speicherung von Dateien müssen Sicherheitsaspekte berücksichtigt werden, insbesondere wenn es sich um sensible Daten handelt. Dies umfasst die Verschlüsselung von Dateien und die Implementierung von Zugriffsberechtigungen. + +- **Backup und Wiederherstellung**: Regelmäßige Backups sind unerlässlich, um Datenverlust zu vermeiden. Das System sollte über Mechanismen zur automatisierten Sicherung und Wiederherstellung von Dateien verfügen. + +Durch die Beachtung dieser Richtlinien und Praktiken wird sichergestellt, dass das Agent Chat System Dateien effizient und sicher handhabt und speichert, was zu einem reibungslosen Betrieb und einer hohen Zuverlässigkeit des Systems beiträgt. + +# Workflow Management + +In diesem Abschnitt des "Agent Chat System Handbook" wird das Workflow-Management detailliert beschrieben. Das Ziel ist es, den technischen Benutzern ein umfassendes Verständnis für die Erstellung und Ausführung von Workflows innerhalb des Agent Chat Systems zu vermitteln. + +## Inhaltsverzeichnis +1. [Erstellung von Workflows](#erstellung-von-workflows) +2. [Ausführung von Workflows](#ausfuehrung-von-workflows) + +## Erstellung von Workflows + +Die Erstellung von Workflows ist ein zentraler Bestandteil des Workflow-Managements im Agent Chat System. Ein Workflow definiert eine Abfolge von Schritten, die automatisiert oder manuell ausgeführt werden können, um spezifische Aufgaben oder Prozesse zu steuern. + +### Schritte zur Erstellung eines Workflows + +1. **Identifikation der Anforderungen**: Bestimmen Sie die spezifischen Anforderungen und Ziele des Workflows. Dies könnte die Automatisierung von Kundenanfragen oder die Verwaltung von Support-Tickets umfassen. + +2. **Definition der Schritte**: Listen Sie die einzelnen Schritte auf, die zur Erreichung des Workflows erforderlich sind. Jeder Schritt sollte klar definiert und in einer logischen Reihenfolge angeordnet sein. + +3. **Konfiguration der Aktionen**: Weisen Sie jedem Schritt spezifische Aktionen zu. Diese Aktionen könnten API-Aufrufe, Datenbankabfragen oder Benachrichtigungen umfassen. + +4. **Erstellung von Bedingungen**: Definieren Sie Bedingungen, die den Fluss des Workflows steuern. Bedingungen können auf Ereignissen, Datenwerten oder Benutzerinteraktionen basieren. + +5. **Testen des Workflows**: Vor der Implementierung sollte der Workflow in einer Testumgebung ausgeführt werden, um sicherzustellen, dass alle Schritte korrekt funktionieren. + +6. **Dokumentation**: Dokumentieren Sie den Workflow umfassend, einschließlich der Ziele, Schritte, Bedingungen und erwarteten Ergebnisse. + +### Beispiel + +```yaml +- name: "Kundenanfrage-Workflow" + steps: + - step: "Anfrage erhalten" + action: "API-Aufruf" + - step: "Anfrage analysieren" + action: "AI-Analyse" + - step: "Antwort generieren" + action: "Textgenerierung" + - step: "Antwort senden" + action: "Benachrichtigung" + conditions: + - if: "Anfrage enthält 'dringend'" + then: "Priorität hochsetzen" +``` + +## Ausführung von Workflows + +Die Ausführung von Workflows ist der Prozess, bei dem die definierten Schritte eines Workflows in der Praxis umgesetzt werden. Dies kann manuell durch einen Benutzer oder automatisch durch das System erfolgen. + +### Schritte zur Ausführung eines Workflows + +1. **Initiierung**: Der Workflow wird entweder durch ein Ereignis, eine Benutzeraktion oder einen Zeitplan initiiert. + +2. **Verarbeitung der Schritte**: Jeder Schritt des Workflows wird in der festgelegten Reihenfolge ausgeführt. Das System überwacht den Fortschritt und stellt sicher, dass alle Bedingungen erfüllt sind, bevor zum nächsten Schritt übergegangen wird. + +3. **Überwachung und Protokollierung**: Während der Ausführung werden alle Aktionen und Ergebnisse protokolliert. Dies ermöglicht eine spätere Analyse und Fehlerbehebung. + +4. **Fehlerbehandlung**: Bei Auftreten eines Fehlers wird der Workflow entweder pausiert oder abgebrochen, je nach Konfiguration. Fehlerprotokolle werden erstellt, um die Ursache zu identifizieren und zu beheben. + +5. **Abschluss**: Nach erfolgreicher Ausführung aller Schritte wird der Workflow abgeschlossen und eine Zusammenfassung der Ergebnisse erstellt. + +### Beispiel + +```json +{ + "workflow_id": "12345", + "status": "in_progress", + "current_step": "Anfrage analysieren", + "logs": [ + {"timestamp": "2023-10-01T10:00:00Z", "message": "Anfrage erhalten"}, + {"timestamp": "2023-10-01T10:01:00Z", "message": "Anfrage analysieren gestartet"} + ] +} +``` + +Durch die sorgfältige Erstellung und Ausführung von Workflows können Unternehmen die Effizienz und Genauigkeit ihrer Prozesse erheblich verbessern. Das Agent Chat System bietet die Flexibilität und Kontrolle, die erforderlich sind, um komplexe Workflows effektiv zu verwalten. + +# AI Integration + +In diesem Abschnitt wird die Integration von Künstlicher Intelligenz (KI) in das Agent Chat System detailliert beschrieben. Der Fokus liegt auf den verwendeten KI-Modellen und den Integrationspunkten innerhalb des Systems. Diese Informationen sind entscheidend für das Verständnis der technischen Architektur und der Funktionsweise der KI-Komponenten. + +## AI Models + +### Verwendete KI-Modelle + +Das Agent Chat System nutzt fortschrittliche KI-Modelle, um die Interaktion zwischen Agenten und Nutzern zu optimieren. Diese Modelle sind darauf ausgelegt, natürliche Sprachverarbeitung (NLP) zu unterstützen und kontextbezogene Antworten zu generieren. Die wichtigsten Modelle umfassen: + +- **GPT-3**: Ein leistungsstarkes Sprachmodell, das für die Generierung von menschenähnlichen Texten verwendet wird. Es ist in der Lage, komplexe Anfragen zu verstehen und relevante Antworten zu liefern. +- **BERT**: Ein Modell, das für Aufgaben der Sprachverständnisoptimierung eingesetzt wird, insbesondere bei der Analyse von Benutzeranfragen und der Extraktion von Schlüsselinformationen. +- **Custom Sentiment Analysis Model**: Ein speziell entwickeltes Modell zur Analyse der Stimmung in Benutzeranfragen, um die Reaktionen der Agenten entsprechend anzupassen. + +Diese Modelle werden kontinuierlich aktualisiert und optimiert, um die Effizienz und Genauigkeit der Interaktionen zu verbessern. + +## Integration + +### Integrationspunkte + +Die Integration der KI-Modelle erfolgt an mehreren strategischen Punkten innerhalb des Agent Chat Systems. Diese Integrationspunkte sind entscheidend für die nahtlose Funktionalität und umfassen: + +- **Anfrageverarbeitung**: Bei der Eingabe einer Benutzeranfrage wird diese zunächst durch das NLP-Modul geleitet, das die Anfrage analysiert und an das entsprechende KI-Modell weiterleitet. +- **Antwortgenerierung**: Die generierten Antworten werden durch das GPT-3-Modell erstellt und anschließend durch das Sentiment Analysis Model überprüft, um sicherzustellen, dass die Antwort dem emotionalen Kontext des Benutzers entspricht. +- **Datenanalyse**: Die gesammelten Daten aus den Interaktionen werden durch BERT analysiert, um Muster und Trends zu identifizieren, die zur Verbesserung der Systemleistung beitragen können. +- **Feedback-Schleife**: Eine kontinuierliche Feedback-Schleife ermöglicht es, die Modelle basierend auf Benutzerinteraktionen und Agenten-Feedback zu verfeinern und anzupassen. + +### Technische Implementierung + +Die Implementierung der KI-Integration erfolgt über spezialisierte APIs, die in die FastAPI-Anwendung eingebettet sind. Diese APIs ermöglichen eine effiziente Kommunikation zwischen den verschiedenen Modulen und den KI-Modellen. Die Integration ist so gestaltet, dass sie skalierbar und erweiterbar ist, um zukünftige Anforderungen und technologische Fortschritte zu berücksichtigen. + +Durch die sorgfältige Auswahl und Integration dieser KI-Modelle wird sichergestellt, dass das Agent Chat System nicht nur effizient, sondern auch flexibel und anpassungsfähig bleibt, um den sich ständig ändernden Anforderungen der Benutzer gerecht zu werden. + +## Authentication + +```md +# Authentication + +In diesem Abschnitt des "Agent Chat System Handbook" wird das Authentifizierungssystem detailliert beschrieben. Die Authentifizierung ist ein kritischer Bestandteil des Systems, der sicherstellt, dass nur autorisierte Benutzer Zugriff auf die Anwendung und ihre Funktionen haben. Wir werden die verschiedenen Authentifizierungsmethoden sowie die Sicherheitsmaßnahmen, die implementiert wurden, um die Integrität und Vertraulichkeit der Benutzerdaten zu gewährleisten, untersuchen. + +## Methoden + +### Authentifizierungsmethoden + +Das Agent Chat System unterstützt mehrere Authentifizierungsmethoden, um Flexibilität und Sicherheit zu bieten. Die wichtigsten Methoden sind: + +1. **Token-basierte Authentifizierung**: + - **Beschreibung**: Diese Methode verwendet JSON Web Tokens (JWT), um Benutzer zu authentifizieren. Nach erfolgreicher Anmeldung erhält der Benutzer ein Token, das bei jeder Anfrage an den Server gesendet wird. + - **Vorteile**: Erhöhte Sicherheit durch zeitlich begrenzte Token und die Möglichkeit, Token zu widerrufen. + - **Implementierung**: Der Token wird im Header der HTTP-Anfrage übermittelt und vom Server validiert. + +2. **OAuth 2.0**: + - **Beschreibung**: OAuth 2.0 ist ein weit verbreitetes Protokoll, das es Benutzern ermöglicht, sich mit ihren bestehenden Konten von Drittanbietern (z.B. Google, Facebook) anzumelden. + - **Vorteile**: Benutzerfreundlichkeit und erhöhte Sicherheit, da keine Passwörter direkt im System gespeichert werden müssen. + - **Implementierung**: Die Anwendung leitet den Benutzer zur Authentifizierungsseite des Drittanbieters weiter und erhält nach erfolgreicher Authentifizierung ein Zugriffstoken. + +3. **Zwei-Faktor-Authentifizierung (2FA)**: + - **Beschreibung**: Diese Methode fügt eine zusätzliche Sicherheitsebene hinzu, indem sie einen zweiten Authentifizierungsfaktor erfordert, z.B. einen SMS-Code oder eine Authentifizierungs-App. + - **Vorteile**: Erhöhte Sicherheit durch die Kombination von etwas, das der Benutzer kennt (Passwort) und etwas, das der Benutzer hat (zweiter Faktor). + - **Implementierung**: Nach der Eingabe des Passworts wird der Benutzer aufgefordert, den zweiten Faktor einzugeben, bevor der Zugriff gewährt wird. + +## Sicherheit + +### Sicherheitsmaßnahmen + +Um die Sicherheit der Authentifizierung im Agent Chat System zu gewährleisten, wurden mehrere Maßnahmen implementiert: + +1. **Datenverschlüsselung**: + - Alle sensiblen Daten, einschließlich Passwörter und Token, werden mit starken Verschlüsselungsalgorithmen gespeichert und übertragen. Dies schützt die Daten vor unbefugtem Zugriff und Manipulation. + +2. **Sichere Passwortspeicherung**: + - Passwörter werden nicht im Klartext gespeichert. Stattdessen werden sie mit einem sicheren Hashing-Algorithmus (z.B. bcrypt) gehasht, bevor sie in der Datenbank gespeichert werden. + +3. **Regelmäßige Sicherheitsüberprüfungen**: + - Das System wird regelmäßig auf Sicherheitslücken überprüft, und es werden Patches und Updates angewendet, um bekannte Schwachstellen zu beheben. + +4. **Sitzungsverwaltung**: + - Sitzungen werden überwacht und bei Inaktivität automatisch abgemeldet, um das Risiko von Sitzungsentführungen zu minimieren. + +5. **Protokollierung und Überwachung**: + - Alle Authentifizierungsversuche und sicherheitsrelevanten Ereignisse werden protokolliert und überwacht, um verdächtige Aktivitäten frühzeitig zu erkennen und darauf zu reagieren. + +Durch die Implementierung dieser Methoden und Sicherheitsmaßnahmen stellt das Agent Chat System sicher, dass die Authentifizierung sowohl benutzerfreundlich als auch sicher ist, und schützt die Integrität und Vertraulichkeit der Benutzerdaten effektiv. +``` + + +## Conclusion + +```md +## Fazit + +In diesem Handbuch zum "Agent Chat System" haben wir die wesentlichen Komponenten und Prozesse detailliert beschrieben, die für den erfolgreichen Einsatz und die Verwaltung eines Chat-Agenten-Systems erforderlich sind. Die behandelten Themen umfassen die Einrichtung der FastAPI-Anwendung, das Benutzer- und Mandatsmanagement, die Attributverwaltung, das Prompt-Management, Dateioperationen, das Workflow-Management, die Integration von Künstlicher Intelligenz sowie die Authentifizierung. + +### Zusammenfassung der Hauptpunkte + +1. **FastAPI Setup**: Wir haben die Schritte zur Einrichtung und Konfiguration der FastAPI-Anwendung erläutert, um eine stabile Grundlage für das Agentensystem zu schaffen. + +2. **Benutzerverwaltung**: Die Verwaltung von Benutzern und deren Rollen ist entscheidend für die Sicherheit und Effizienz des Systems. Wir haben die Methoden zur Erstellung, Aktualisierung und Löschung von Benutzerkonten behandelt. + +3. **AI-Integration**: Die Integration von KI-Technologien ermöglicht es dem System, intelligentere und kontextbezogene Antworten zu generieren. Wir haben die Implementierung und Optimierung dieser Funktionalität beschrieben. + +4. **Authentifizierung**: Sicherheit ist ein zentrales Element jeder Anwendung. Wir haben die Authentifizierungsmechanismen und deren Implementierung im System detailliert dargestellt. + +### Empfehlungen und nächste Schritte + +- **Regelmäßige Updates**: Stellen Sie sicher, dass alle Systemkomponenten regelmäßig aktualisiert werden, um Sicherheitslücken zu schließen und die Leistung zu optimieren. +- **Erweiterung der AI-Funktionalitäten**: Erwägen Sie die Implementierung fortschrittlicherer KI-Modelle, um die Interaktionsqualität weiter zu verbessern. +- **Benutzerfeedback einholen**: Nutzen Sie das Feedback der Benutzer, um kontinuierlich Verbesserungen am System vorzunehmen. + +### Bedeutung des Dokuments + +Dieses Handbuch dient als umfassende Ressource für technische Fachleute, die für die Implementierung und Wartung des Agent Chat Systems verantwortlich sind. Es bietet nicht nur eine detaillierte Anleitung zur Einrichtung und Verwaltung des Systems, sondern auch wertvolle Einblicke in die Optimierung der Benutzererfahrung und der Systemleistung. Mit diesem Wissen sind Sie bestens gerüstet, um ein effizientes und sicheres Chat-Agenten-System zu betreiben. + +Wir hoffen, dass dieses Handbuch Ihnen als wertvolle Referenz dient und Sie bei der erfolgreichen Implementierung und Verwaltung Ihres Agent Chat Systems unterstützt. +``` diff --git a/routes/routeWorkflows.py b/routes/routeWorkflows.py index 7cf56c72..622198b4 100644 --- a/routes/routeWorkflows.py +++ b/routes/routeWorkflows.py @@ -592,16 +592,16 @@ async def previewFile( base64Encoded = not isText if isText: - # Convert to string and limit to 1000 chars for preview + # Convert to string without trim for preview if isinstance(fileData, bytes): try: - filePreview = fileData.decode('utf-8')[:1000] + filePreview = fileData.decode('utf-8') previewData = filePreview except UnicodeDecodeError: # Try other encodings for encoding in ['latin-1', 'cp1252', 'iso-8859-1']: try: - filePreview = fileData.decode(encoding)[:1000] + filePreview = fileData.decode(encoding) previewData = filePreview break except UnicodeDecodeError: @@ -613,7 +613,7 @@ async def previewFile( previewData = base64.b64encode(fileData).decode('utf-8') base64Encoded = True - # Return file metadata with limited preview and base64Encoded flag + # Return file metadata with preview and base64Encoded flag return { "id": fileId, "name": file.get("name"), diff --git a/static/100_first_77_primes.txt b/static/100_first_77_primes.txt deleted file mode 100644 index 87725e78..00000000 --- a/static/100_first_77_primes.txt +++ /dev/null @@ -1,77 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 \ No newline at end of file diff --git a/static/101_generated_code.py b/static/101_generated_code.py deleted file mode 100644 index c4ae0f1b..00000000 --- a/static/101_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(123) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/102_execution_history.json b/static/102_execution_history.json deleted file mode 100644 index 2336e057..00000000 --- a/static/102_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(123)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\\n613\\n617\\n619\\n631\\n641\\n643\\n647\\n653\\n659\\n661\\n673\\n677\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541\n547\n557\n563\n569\n571\n577\n587\n593\n599\n601\n607\n613\n617\n619\n631\n641\n643\n647\n653\n659\n661\n673\n677", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/103_generated_code.py b/static/103_generated_code.py deleted file mode 100644 index b17aa80e..00000000 --- a/static/103_generated_code.py +++ /dev/null @@ -1,40 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -# REQUIREMENTS: - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(202) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/104_execution_history.json b/static/104_execution_history.json deleted file mode 100644 index d8d0cc2c..00000000 --- a/static/104_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\n# REQUIREMENTS: \n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(202)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\\n613\\n617\\n619\\n631\\n641\\n643\\n647\\n653\\n659\\n661\\n673\\n677\\n683\\n691\\n701\\n709\\n719\\n727\\n733\\n739\\n743\\n751\\n757\\n761\\n769\\n773\\n787\\n797\\n809\\n811\\n821\\n823\\n827\\n829\\n839\\n853\\n857\\n859\\n863\\n877\\n881\\n883\\n887\\n907\\n911\\n919\\n929\\n937\\n941\\n947\\n953\\n967\\n971\\n977\\n983\\n991\\n997\\n1009\\n1013\\n1019\\n1021\\n1031\\n1033\\n1039\\n1049\\n1051\\n1061\\n1063\\n1069\\n1087\\n1091\\n1093\\n1097\\n1103\\n1109\\n1117\\n1123\\n1129\\n1151\\n1153\\n1163\\n1171\\n1181\\n1187\\n1193\\n1201\\n1213\\n1217\\n1223\\n1229\\n1231\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541\n547\n557\n563\n569\n571\n577\n587\n593\n599\n601\n607\n613\n617\n619\n631\n641\n643\n647\n653\n659\n661\n673\n677\n683\n691\n701\n709\n719\n727\n733\n739\n743\n751\n757\n761\n769\n773\n787\n797\n809\n811\n821\n823\n827\n829\n839\n853\n857\n859\n863\n877\n881\n883\n887\n907\n911\n919\n929\n937\n941\n947\n953\n967\n971\n977\n983\n991\n997\n1009\n1013\n1019\n1021\n1031\n1033\n1039\n1049\n1051\n1061\n1063\n1069\n1087\n1091\n1093\n1097\n1103\n1109\n1117\n1123\n1129\n1151\n1153\n1163\n1171\n1181\n1187\n1193\n1201\n1213\n1217\n1223\n1229\n1231", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/105_prime_numbers.txt b/static/105_prime_numbers.txt deleted file mode 100644 index 75099161..00000000 --- a/static/105_prime_numbers.txt +++ /dev/null @@ -1,202 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 -397 -401 -409 -419 -421 -431 -433 -439 -443 -449 -457 -461 -463 -467 -479 -487 -491 -499 -503 -509 -521 -523 -541 -547 -557 -563 -569 -571 -577 -587 -593 -599 -601 -607 -613 -617 -619 -631 -641 -643 -647 -653 -659 -661 -673 -677 -683 -691 -701 -709 -719 -727 -733 -739 -743 -751 -757 -761 -769 -773 -787 -797 -809 -811 -821 -823 -827 -829 -839 -853 -857 -859 -863 -877 -881 -883 -887 -907 -911 -919 -929 -937 -941 -947 -953 -967 -971 -977 -983 -991 -997 -1009 -1013 -1019 -1021 -1031 -1033 -1039 -1049 -1051 -1061 -1063 -1069 -1087 -1091 -1093 -1097 -1103 -1109 -1117 -1123 -1129 -1151 -1153 -1163 -1171 -1181 -1187 -1193 -1201 -1213 -1217 -1223 -1229 -1231 \ No newline at end of file diff --git a/static/106_generated_code.py b/static/106_generated_code.py deleted file mode 100644 index 44c125b7..00000000 --- a/static/106_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(limit): - primes = [] - num = 2 - while len(primes) < limit: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(1000) -primes_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": primes_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/107_execution_history.json b/static/107_execution_history.json deleted file mode 100644 index 6ff5f3f6..00000000 --- a/static/107_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(limit):\n primes = []\n num = 2\n while len(primes) < limit:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(1000)\nprimes_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": primes_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": 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- "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/108_generated_code.py b/static/108_generated_code.py deleted file mode 100644 index a0f1a176..00000000 --- a/static/108_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(999) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/109_execution_history.json b/static/109_execution_history.json deleted file mode 100644 index e6816758..00000000 --- a/static/109_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(999)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": 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\"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": 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-7717 -7723 -7727 -7741 -7753 -7757 -7759 -7789 -7793 -7817 -7823 -7829 -7841 -7853 -7867 -7873 -7877 -7879 -7883 -7901 -7907 \ No newline at end of file diff --git a/static/111_generated_code.py b/static/111_generated_code.py deleted file mode 100644 index d1bf4973..00000000 --- a/static/111_generated_code.py +++ /dev/null @@ -1,39 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -import json - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(779) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -print(json.dumps(result)) \ No newline at end of file diff --git a/static/112_execution_history.json b/static/112_execution_history.json deleted file mode 100644 index c419a1c2..00000000 --- a/static/112_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\nimport json\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(779)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": 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\"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": 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-1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(limit): - primes = [] - num = 2 - while len(primes) < limit: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(1000) -primes_content = "\n".join(map(str, primes)) - -result = { - "first_1000_primes.txt": { - "content": primes_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/115_execution_history.json b/static/115_execution_history.json deleted file mode 100644 index 9795dcc0..00000000 --- a/static/115_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(limit):\n primes = []\n num = 2\n while len(primes) < limit:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(1000)\nprimes_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"first_1000_primes.txt\": {\n \"content\": primes_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"first_1000_primes.txt\": {\"content\": 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- "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/116_workflowManager.py b/static/116_workflowManager.py deleted file mode 100644 index db4c4f65..00000000 --- a/static/116_workflowManager.py +++ /dev/null @@ -1,1306 +0,0 @@ -""" -Workflow Manager Module for state machine-based backend chat workflow. -Implements the state machine as defined in the documentation. -""" - -import asyncio -import os -import logging -import json -import re -import uuid -import base64 -from datetime import datetime -from typing import Dict, Any, List, Optional, Union, Tuple - -from modules.mimeUtils import isTextMimeType, determineContentEncoding - -# Required imports -from modules.workflowAgentsRegistry import getAgentRegistry -from modules.lucydomInterface import getLucydomInterface as domInterface -from modules.documentProcessor import getDocumentContents - -# Configure logger -logger = logging.getLogger(__name__) - -# Global settings for the workflow management -GLOBAL_WORKFLOW_LABELS = { - "systemName": "AI Assistant", # Default system name for logs - "workflowStatusMessages": { - "init": "Workflow initialized", - "running": "Running workflow", - "waiting": "Waiting for input", - "completed": "Workflow completed successfully", - "stopped": "Workflow stopped by user", - "failed": "Error in workflow" - } -} -class WorkflowStoppedException(Exception): - """Exception raised when a workflow is forcibly stopped with function checkExitCriteria() """ - pass - -class WorkflowManager: - """ - Manages the processing of chat requests, agent execution, and - the integration of results into the workflow, following a state machine approach. - """ - - def __init__(self, mandateId: int, userId: int): - """ - Initializes the WorkflowManager with mandate and user context. - - Args: - mandateId: ID of the current mandate - userId: ID of the current user - """ - self.mandateId = mandateId - self.userId = userId - self.mydom = domInterface(mandateId, userId) - self.agentRegistry = getAgentRegistry() - self.agentRegistry.setMydom(self.mydom) - - - ### Workflow State Machine Implementation - - async def workflowStart(self, userInput: Dict[str, Any], workflowId: Optional[str] = None) -> Dict[str, Any]: - """ - Main entry point for starting or continuing a workflow (State 1: Workflow Initialization). - Initializes a new workflow or loads an existing one based on workflowId. - - Args: - userInput: User input with prompt and optional file list - workflowId: Optional workflow ID to continue an existing workflow - - Returns: - Initialized workflow object with status "running" - """ - # 1. Initialize workflow or load existing one - workflow = self.workflowInit(workflowId) - self.logAdd(workflow, "Starting workflow processing", level="info", progress=0) - - # Start asynchronous processing - asyncio.create_task(self.workflowProcess(userInput, workflow)) - - return workflow - - ### Forces exit - - def checkExitCriteria(self, workflow: Dict[str, Any]): - current_workflow = self.mydom.loadWorkflowState(workflow["id"]) - if current_workflow["status"] in ["stopped", "failed"]: - self.logAdd(workflow, f"Workflow processing terminated due to status: {current_workflow['status']}", level="info") - # Raise an exception to stop execution - raise WorkflowStoppedException(f"Workflow execution stopped due to status: {current_workflow['status']}") - - async def workflowStop(self, workflowId: str) -> Dict[str, Any]: - """ - Stops a running workflow (State 8: Workflow Stopped). - Sets status to "stopped" and adds a log entry. - - Args: - workflowId: ID of the workflow to stop - - Returns: - Updated workflow with status="stopped" - """ - workflow = self.mydom.loadWorkflowState(workflowId) - if not workflow: - return {"error": "Workflow not found", "status": "failed"} - - # Update status to stopped - workflow["status"] = "stopped" - workflow["lastActivity"] = datetime.now().isoformat() - - # Update in database - self.mydom.updateWorkflow(workflowId, { - "status": workflow["status"], - "lastActivity": workflow["lastActivity"] - }) - - self.logAdd(workflow, GLOBAL_WORKFLOW_LABELS["workflowStatusMessages"]["stopped"], level="info", progress=100) - return workflow - - async def workflowProcess(self, userInput: Dict[str, Any], workflow: Dict[str, Any]) -> Dict[str, Any]: - """ - Main processing function that implements the workflow state machine. - Handles the complete workflow process from user input to final response. - - Args: - userInput: User input with prompt and optional file list - workflow: Current workflow object - - Returns: - Updated workflow with processing results - """ - try: - # State 3: User Message Processing - self.checkExitCriteria(workflow) - messageUser = await self.chatMessageToWorkflow("user", "", userInput, workflow) - messageUser["status"] = "first" # For first message - - # State 4: Project Manager Analysis - self.checkExitCriteria(workflow) - self.logAdd(workflow, "Analyzing request and planning work", level="info", progress=10) - projectManagerResponse = await self.projectManagerAnalysis(messageUser, workflow) - objFinalDocuments = projectManagerResponse.get("objFinalDocuments", []) - objWorkplan = projectManagerResponse.get("objWorkplan", []) - objUserResponse = projectManagerResponse.get("objUserResponse", "") - - # Get detected language and set it in the mydom interface - self.checkExitCriteria(workflow) - userLanguage = projectManagerResponse.get("userLanguage", "en") - self.mydom.setUserLanguage(userLanguage) - - # Save the response as a message in the workflow and add log entries - self.checkExitCriteria(workflow) - responseMessage = { - "role": "assistant", - "agentName": "project_manager", - "content": objUserResponse, - "status": "step" # As per state machine specification - } - self.messageAdd(workflow, responseMessage) - - self.logAdd(workflow, f"Planned outputs: {len(objFinalDocuments)} documents", level="info", progress=20) - self.logAdd(workflow, f"Work plan created with {len(objWorkplan)} steps", level="info", progress=25) - - # State 5: Agent Execution - objResults = [] - if objWorkplan: - totalTasks = len(objWorkplan) - for taskIndex, task in enumerate(objWorkplan): - self.checkExitCriteria(workflow) - - agentName = task.get("agent", "unknown") - progressValue = 30 + int((taskIndex / totalTasks) * 60) # Progress from 30% to 90% - - progressMsg = f"Running task {taskIndex+1}/{totalTasks}: {agentName}" - self.logAdd(workflow, progressMsg, level="info", progress=progressValue) - - taskResults = await self.agentProcessing(task, workflow) - objResults.extend(taskResults) - - # Log completion of this task - self.logAdd( - workflow, - f"Completed task {taskIndex+1}/{totalTasks}: {agentName}", - level="info", - progress=progressValue + (60/totalTasks)/2 - ) - - # State 6: Final Response Generation - self.checkExitCriteria(workflow) - self.logAdd(workflow, "Creating final response", level="info", progress=90) - finalMessage = await self.generateFinalMessage(objUserResponse, objFinalDocuments, objResults) - finalMessage["status"] = "last" # As per state machine specification - self.messageAdd(workflow, finalMessage) - - # State 7: Workflow Completion - self.checkExitCriteria(workflow) - self.workflowFinish(workflow) - - return workflow - - except Exception as e: - # State 2: Workflow Exception - logger.error(f"Workflow processing error: {str(e)}", exc_info=True) - workflow["status"] = "failed" - workflow["lastActivity"] = datetime.now().isoformat() - - # Update in database - self.mydom.updateWorkflow(workflow["id"], { - "status": "failed", - "lastActivity": workflow["lastActivity"] - }) - - self.logAdd(workflow, f"Workflow failed: {str(e)}", level="error", progress=100) - return workflow - - def workflowInit(self, workflowId: Optional[str] = None) -> Dict[str, Any]: - """ - Initializes a workflow or loads an existing one with round counting (State 1: Workflow Initialization). - - Args: - workflowId: Optional - ID of the workflow to load - - Returns: - Initialized workflow object - """ - currentTime = datetime.now().isoformat() - - logger.debug(f"CHECK DATA0 id'{workflowId}'") - workflowExist=self.mydom.getWorkflow(workflowId) - if workflowId is None or not workflowExist: - logger.debug(f"CHECK DATA1 id'{workflowId}'") - # Create new workflow - newWorkflowId = str(uuid.uuid4()) if workflowId is None else workflowId - workflow = { - "id": newWorkflowId, - "mandateId": self.mandateId, - "userId": self.userId, - "name": f"Workflow {newWorkflowId[:8]}", - "startedAt": currentTime, - "messages": [], # Empty list - will be filled with references - "messageIds": [], # Initialize empty messageIds list - "logs": [], - "dataStats": {}, - "currentRound": 1, - "status": "running", - "lastActivity": currentTime, - } - - # Save to database - only the workflow metadata - workflowDb = { - "id": workflow["id"], - "mandateId": workflow["mandateId"], - "userId": workflow["userId"], - "name": workflow["name"], - "startedAt": workflow["startedAt"], - "status": workflow["status"], - "dataStats": workflow["dataStats"], - "currentRound": workflow["currentRound"], - "lastActivity": workflow["lastActivity"], - "messageIds": workflow["messageIds"] # Include messageIds - } - self.mydom.createWorkflow(workflowDb) - - self.logAdd(workflow, GLOBAL_WORKFLOW_LABELS["workflowStatusMessages"]["init"], level="info", progress=0) - logger.debug(f"CHECK DATA {workflow}") - return workflow - else: - # State 10: Workflow Resumption - Load existing workflow - workflow = self.mydom.loadWorkflowState(workflowId) - - # Ensure messageIds exists - if "messageIds" not in workflow: - # Initialize from existing messages - workflow["messageIds"] = [msg["id"] for msg in workflow.get("messages", [])] - - # Update in database - self.mydom.updateWorkflow(workflowId, {"messageIds": workflow["messageIds"]}) - - # Update status and increment round counter - workflow["status"] = "running" - workflow["lastActivity"] = currentTime - - # Increment currentRound if it exists, otherwise set it to 1 - if "currentRound" in workflow: - workflow["currentRound"] += 1 - else: - workflow["currentRound"] = 1 - - # Update in database - only the relevant workflow fields - workflowUpdate = { - "status": workflow["status"], - "lastActivity": workflow["lastActivity"], - "currentRound": workflow["currentRound"] - } - self.mydom.updateWorkflow(workflowId, workflowUpdate) - - self.logAdd(workflow, GLOBAL_WORKFLOW_LABELS["workflowStatusMessages"]["running"], level="info", progress=0) - return workflow - - def workflowFinish(self, workflow: Dict[str, Any]) -> Dict[str, Any]: - """ - Finalizes a workflow and sets the status to 'completed' (State 7: Workflow Completion). - - Args: - workflow: Workflow object - - Returns: - Updated workflow object - """ - # Prepare workflow update data - workflowUpdate = { - "status": "completed", - "lastActivity": datetime.now().isoformat(), - } - - # Update the workflow object in memory - workflow["status"] = workflowUpdate["status"] - workflow["lastActivity"] = workflowUpdate["lastActivity"] - - # Save workflow state to database - only relevant fields - self.mydom.updateWorkflow(workflow["id"], workflowUpdate) - - self.logAdd(workflow, GLOBAL_WORKFLOW_LABELS["workflowStatusMessages"]["completed"], level="info", progress=100) - return workflow - - async def projectManagerAnalysis(self, messageUser: Dict[str, Any], workflow: Dict[str, Any]) -> Dict[str, Any]: - """ - Creates the prompt for the project manager and processes the response (State 4: Project Manager Analysis). - - Args: - messageUser: Message object with user request - workflow: Current workflow object - - Returns: - Project manager's response with objFinalDocuments, objWorkplan and objUserResponse - """ - # Get available agents with their capabilities - availableAgents = self.agentProfiles() - - # Create a workflow summary - workflowSummary = await self.workflowSummarize(workflow, messageUser) - - # Create a list of currently available documents from user input or previously generated documents - availableDocuments = self.getAvailableDocuments(workflow, messageUser) - availableDocsStr = json.dumps(availableDocuments, indent=2) - - # Create the prompt for the project manager with language detection requirement - prompt = f""" -Based on the user request and the provided documents, please analyze the requirements and create a processing plan. -Also, identify the language of the user's request and include it in your response. - - -{messageUser.get('content')} - - -# Previous conversation history: - -{workflowSummary} - - -# Available documents (currently in workflow): - -{availableDocsStr} - - -# Available agents and their capabilities: - -{self.parseJson2text(availableAgents)} - - -Please analyze the request and create: - -1. A list of required result documents (objFinalDocuments) -2. A plan for executing agents (objWorkplan) -3. A clear response to the user explaining what you're doing (objUserResponse) -4. Identified language of the user's request (userLanguage) - -## IMPORTANT RULES FOR THE WORKPLAN: -1. Each input document must either already exist (provided by the user or previously created by an agent) or be created by an agent before it's used. -2. If necessary, convert input documents to a suitable format using agents when the type doesn't match. -3. Do not define document inputs that don't exist or haven't been generated beforehand. -4. Create a logical sequence - earlier agents can create documents that are later used as inputs. -5. If the user has provided documents but hasn't clearly stated what they want, try to act according to the context. - -Your answer must be strictly in the JSON_OUTPUT format, with no additions before or after the JSON object. - -JSON_OUTPUT = {{ - "objFinalDocuments": ["label",...], # document label in the format 'filename.ext' - "objWorkplan": [ - {{ - "agent": "agent_name", # Name of an available agent - "prompt": "Specific instructions to the agent, that he knows what to do with which documents and which output to provide." - "outputDocuments": [ - {{ - "label":"document label in the format 'filename.ext'", - "prompt":"AI prompt to describe the content of the file" - }} - ], - "inputDocuments": [ - {{ - "label":"document label in the format 'filename.ext'", - "fileId":id, # if refering to an existing document, provide fileId to select the correct file - "contentPart":"", # provide empty string, if all document contents to consider, otherwise the contentPart of the document to focus on - "prompt":"AI prompt to describe what data to extract from the file." - }} - ], # If no input documents are needed, include "inputDocuments" as an empty list - }} - # Multiple agent tasks can be added here and should build logically on each other - ], - "objUserResponse": "Information to the user about how his request will be solved, in the language of the user's request.", - "userLanguage": "en" # Language code (e.g., en, de, fr, es) based on the user's request -}} - -## RULES for inputDocuments: -1. The user request refers to documents where "fileSource" in available documents is "user". Those documents are in the focus for input -2. In case of redundant label in available documents, use document with highest sequenceNr if not specified differently - -## STRICT RULES FOR document "label": -1. Every document label MUST include a proper file extension that matches the content type. -2. Use standard extensions like: - - ".txt" for text files - - ".md" for markdown files - - ".csv" for comma-separated values - - ".json" for JSON data - - ".html" for HTML content - - ".jpg" or ".png" for images - - ".docx" for Word documents - - ".xlsx" for Excel files - - ".pdf" for PDF documents -3. Use descriptive filenames that indicate the document's purpose (e.g., "analysis_report.txt" rather than just "report.txt") -4. If you use label for an existing file -""" - - # Call the AI service through mydom for language support - logger.debug(f"PROJECT MANAGER Planning prompt: {prompt}") - projectManagerOutput = await self.mydom.callAi([ - { - "role": "system", - "content": "You are an experienced project manager who analyzes user requests and creates work plans. You pay very careful attention to ensure that all document dependencies are correct and that no non-existent documents are defined as inputs. The output follows strictly the specified format." - }, - { - "role": "user", - "content": prompt - } - ]) - - # Parse the JSON response - logger.debug(f"PROJECT MANAGER Planning answer: {projectManagerOutput}") - return self.parseJsonResponse(projectManagerOutput) - - async def agentProcessing(self, task: Dict[str, Any], workflow: Dict[str, Any]) -> List[Dict[str, Any]]: - """ - Process a single agent task from the workflow (State 5: Agent Execution). - Optimized for the task-based approach where all agents implement processTask. - - Args: - task: The task definition containing agent name, prompt, and document specifications - workflow: The current workflow object - - Returns: - List of document objects created by the agent - """ - # 1. Extract task information - agentName = task.get("agent") - agentPrompt = task.get("prompt", "") - - # Log the current step - outputLabels = [] - for doc in task.get("outputDocuments", []): - outputLabels.append(doc.get("label", "unknown")) - - stepInfo = f"Agent '{agentName}' to create {', '.join(outputLabels)}." - self.logAdd(workflow, stepInfo, level="info") - - # Check if prompt is empty - if agentPrompt == "": - logger.warning("Empty prompt, no task to do") - return [] - - # Get agent from registry - agent = self.agentRegistry.getAgent(agentName) - if not agent: - logger.error(f"Agent '{agentName}' not found") - return [] - - # Prepare output document specifications - outputSpecs = [] - for doc in task.get("outputDocuments", []): - outputSpec = { - "label": doc.get("label"), - "description": doc.get("prompt", "") - } - outputSpecs.append(outputSpec) - - # Prepare input documents for the agent - inputDocuments = await self.prepareAgentInputDocuments(task.get('inputDocuments', []), workflow) - - # Create a standardized task object for the agent as per state machine spec - agentTask = { - "taskId": str(uuid.uuid4()), - "workflowId": workflow.get("id"), - "prompt": agentPrompt, - "inputDocuments": inputDocuments, - "outputSpecifications": outputSpecs, - "context": { - "workflowRound": workflow.get("currentRound", 1), - "agentType": agentName, - "timestamp": datetime.now().isoformat(), - "language": self.mydom.userLanguage # Pass language to agent - } - } - - # Execute the agent with the standardized task - try: - # Process the task using the agent's standardized interface - logger.debug("TASK: "+self.parseJson2text(agentTask)) - logger.debug(f"Agent '{agentName}' AI service available: {agent.mydom is not None}") - - agentResults = await agent.processTask(agentTask) - - logger.debug(f"Agent '{agentName}' completed task. RESULT: {self.parseJson2text(agentResults)}") - - # Log the agent response - self.logAdd( - workflow, - f"Agent '{agentName}' completed task. Feedback: {agentResults.get('feedback', 'No feedback provided')}", - level="info" - ) - - # Store produced files and prepare input object for message - agentInputs = { - "prompt": agentResults.get("feedback", ""), - "listFileId": self.saveAgentDocuments(agentResults) - } - - # Create a message in the workflow with the agent's response - agentMessage = await self.chatMessageToWorkflow("assistant", agentName, agentInputs, workflow) - agentMessage["status"] = "step" # As per state machine specification - logger.debug(f"Agent result = {self.parseJson2text(agentMessage)}.") - - return agentMessage.get("documents", []) - - except Exception as e: - errorMsg = f"Error executing agent '{agentName}': {str(e)}" - logger.error(errorMsg, exc_info=True) # Add exc_info=True to get full traceback - self.logAdd(workflow, errorMsg, level="error") - return [] - - async def generateFinalMessage(self, objUserResponse: str, objFinalDocuments: List[str], objResults: List[Dict[str, Any]]) -> Dict[str, Any]: - """ - Creates the final response message with review of promised and delivered documents (State 6: Final Response Generation). - - Args: - objUserResponse: Initial text response to the user - objFinalDocuments: List of expected response documents - objResults: List of generated result documents - - Returns: - Complete message object with content and relevant documents - """ - # Find documents that match the objFinalDocuments requirements - matchingDocuments = [] - - if len(objFinalDocuments) > 0: - for answerLabel in objFinalDocuments: - # Find matching document in results - for doc in objResults: - docName = self.getFilename(doc) - # Check if this document matches the answer specification - if docName == answerLabel: - contentRef = [] - for c in doc.get("contents", []): - contentRef.append(c.get("summary", "")) - docRef = { - "label": docName, - "contentSummary": contentRef - } - matchingDocuments.append(docRef) - break - - # Use the mydom for language-aware AI calls - finalPrompt = await self.mydom.callAi([ - {"role": "system", "content": "You are a project manager, who delivers results to a user."}, - {"role": "user", "content": f""" -Give the final short feedback to the user with reference to the initial statement (objUserResponse). Inform him about the list of filesDelivered. You do not need to send the files, this is handled separately. If in the list of filesDelivered some files_promised would be missing, just give a comment on this, otherwise task is now completed successfully. - -Here the data: -objUserResponse = {self.parseJson2text(objUserResponse)} -filesPromised = {self.parseJson2text(objFinalDocuments)} -filesDelivered = {self.parseJson2text(matchingDocuments)} -""" - } - ], produceUserAnswer=True) - - # Create basic message structure with proper fields - logger.debug(f"FINAL PROMPT = {self.parseJson2text(finalPrompt)}.") - finalMessage = { - "role": "assistant", - "agentName": "project_manager", - "content": finalPrompt, - "documents": [] # DO NOT include the results documents, already with agents - } - - logger.debug(f"FINAL MESSAGE = {self.parseJson2text(finalMessage)}.") - return finalMessage - - async def workflowSummarize(self, workflow: Dict[str, Any], messageUser: Dict[str, Any]) -> str: - """ - Creates a summary of the workflow without the current user message. - - Args: - workflow: Workflow object - messageUser: Current user message - - Returns: - Summary of the workflow - """ - if not workflow or "messages" not in workflow or not workflow["messages"]: - return "" # First message - - # Go through messages in chronological order - messages = sorted(workflow["messages"], key=lambda m: m.get("sequenceNo", 0), reverse=False) - - summaryParts = [] - for message in messages: - if message["id"] != messageUser["id"]: - messageSummary = await self.messageSummarize(message) - summaryParts.append(messageSummary) - - return "\n\n".join(summaryParts) - - async def messageSummarize(self, message: Dict[str, Any]) -> str: - """ - Creates a summary of a message including its documents. - - Args: - message: Message to summarize - - Returns: - Summary of the message - """ - role = message.get("role", "undefined") - agentName = message.get("agentName", "") - content = message.get("content", "") - - try: - # Use the mydom for language-aware AI calls - contentSummary = await self.mydom.callAi([ - {"role": "system", "content": f"You are a chat message summarizer. Create a very concise summary (2-3 sentences, maximum 300 characters)"}, - {"role": "user", "content": content} - ]) - except Exception as e: - logger.error(f"Error creating summary: {str(e)}") - contentSummary = content[:200] + "..." - - # Summarize documents - docsSummary = "" - if "documents" in message and message["documents"]: - docsList = [] - for i, doc in enumerate(message["documents"]): - docName = self.getFilename(doc) - docsList.append(docName) - if docsList: - docsSummary = "\nDocuments:" + "\n- ".join(docsList) - - return f"[{role} {agentName}]: {contentSummary}{docsSummary}" - - async def chatMessageToWorkflow(self, role: str, agentName: str, chatMessage: Dict[str, Any], workflow: Dict[str, Any]) -> Dict[str, Any]: - """ - Integrates user inputs into a Message object including files with complete contents (State 3: User Message Processing). - - Args: - role: Role of the message sender ('user' or 'assistant') - agentName: Name of the agent, if message is from an agent - chatMessage: Input data with "prompt"=str, "listFileId"=[] - workflow: Current workflow object - - Returns: - Message object with content and documents including contents - """ - logger.info(f"Message from {role} {agentName} sent with {len(chatMessage.get('listFileId', []))} documents") - logger.debug(f"message = {self.parseJson2text(chatMessage)}.") - - # Check message content - messageContent = chatMessage.get("prompt", "") - if isinstance(messageContent, dict) and "content" in messageContent: - messageContent = messageContent["content"] - - # If message content is empty, no chat - if role == "user" and (messageContent is None or messageContent.strip() == ""): - logger.warning(f"Empty message, no chat") - messageContent = "(No user input received)" - - # Process additional files with complete contents - additionalFileIds = chatMessage.get("listFileId", []) - additionalFiles = await self.processFileIds(additionalFileIds) - - # Create message object - messageObject = { - "role": role, - "agentName": agentName, - "content": messageContent, - "documents": additionalFiles, - "status": chatMessage.get("status", "") - } - - messageObject = self.messageAdd(workflow, messageObject) - logger.debug(f"message_user = {self.parseJson2text(messageObject)}.") - return messageObject - - async def processFileIds(self, fileIds: List[int]) -> List[Dict[str, Any]]: - """ - Processes a list of File-IDs and returns the corresponding file objects as a list of Document objects. - Loads all contents directly and adds summaries to each content item. - Now properly handles the base64Encoded flag. - - Args: - fileIds: List of file IDs - - Returns: - List of Document objects with contents, summaries, and base64Encoded flags - """ - documents = [] - logger.info(f"Processing {len(fileIds)} files") - - for fileId in fileIds: - try: - # Check if the file exists - file = self.mydom.getFile(fileId) - if not file: - logger.warning(f"File with ID {fileId} not found") - continue - - # Check if file belongs to the current mandate - if file.get("mandateId") != self.mandateId: - logger.warning(f"File {fileId} does not belong to mandate {self.mandateId}") - continue - - # Load file content - fileContent = self.mydom.getFileData(fileId) - if fileContent is None: - logger.warning(f"No content found for file with ID {fileId}") - continue - - # Determine if file is text or binary based on MIME type - mimeType = file.get("mimeType", "application/octet-stream") - isTextFormat = isTextMimeType(mimeType) - - # Get file data from database - fileDataEntries = self.mydom.db.getRecordset("fileData", recordFilter={"id": fileId}) - base64Encoded = False - - if fileDataEntries and "base64Encoded" in fileDataEntries[0]: - # Use the flag from the database - base64Encoded = fileDataEntries[0]["base64Encoded"] - else: - # Determine based on file type (fallback for older data) - base64Encoded = not isTextFormat - - # Convert to base64 for document storage - import base64 - encodedData = "" - - if base64Encoded: - # Already base64 encoded in database - encodedData = base64.b64encode(fileContent).decode('utf-8') - else: - # Text file - convert to string if it's bytes - if isinstance(fileContent, bytes): - try: - fileContentStr = fileContent.decode('utf-8') - encodedData = fileContentStr - except UnicodeDecodeError: - # Failed to decode as text, use base64 - encodedData = base64.b64encode(fileContent).decode('utf-8') - base64Encoded = True - else: - # Already a string - encodedData = fileContent - - # Create document - fileNameExt = file.get("name") - document = { - "id": f"doc_{str(uuid.uuid4())}", - "fileId": fileId, - "name": os.path.splitext(fileNameExt)[0] if os.path.splitext(fileNameExt)[0] else "noname", - "ext": os.path.splitext(fileNameExt)[1][1:] if os.path.splitext(fileNameExt)[1] else "bin", - "data": encodedData, - "base64Encoded": base64Encoded, - "contents": [] - } - - # Extract contents - contents = getDocumentContents(file, fileContent) - - # Add summaries to each content item - for content in contents: - content["summary"] = await self.messageSummarizeContent(content) - - # Ensure base64Encoded flag is set - if "base64Encoded" not in content: - # Use the flag from metadata if available - content["base64Encoded"] = content.get("metadata", {}).get("base64Encoded", not content.get("metadata", {}).get("isText", False)) - - document["contents"] = contents - - logger.info(f"File {file.get('name', 'unnamed')} (ID: {fileId}) loaded with {len(contents)} contents and summaries") - documents.append(document) - - except Exception as e: - logger.error(f"Error processing file {fileId}: {str(e)}") - # Continue with remaining files instead of failing - continue - - return documents - - async def prepareAgentInputDocuments(self, docInputList: List[Dict[str, Any]], workflow: Dict[str, Any]) -> List[Dict[str, Any]]: - """ - Prepares input documents for an agent, sorted with newest first. - - Args: - docInputList: List of required input documents as specified by the project manager - workflow: Workflow object - - Returns: - Prepared input documents for the agent, sorted with newest first - """ - preparedInputs = [] - - # Sort workflow messages by sequence number (descending) - sortedMessages = sorted( - workflow.get("messages", []), - key=lambda m: m.get("sequenceNo", 0), - reverse=True - ) - - for docSpec in docInputList: - docFilename = docSpec.get("label", "") - docFileId = docSpec.get("fileId", "") - - foundDoc = None - # Search for the document in sorted workflow messages (newest first) - for message in sortedMessages: - for doc in message.get("documents", []): - if (docFileId != "" and docFileId == doc.get("fileId")) or (docFilename != "" and self.getFilename(doc) == docFilename): - foundDoc = doc - break - if foundDoc: - break - if foundDoc: - # Process document for agent based on the specification - processedDoc = await self.processDocumentForAgent(foundDoc, docSpec) - - preparedInputs.append(processedDoc) - else: - logger.warning(f"Document with label '{docFilename}', fileId '{docFileId}' not found in workflow") - - return preparedInputs - - async def processDocumentForAgent(self, document: Dict[str, Any], docSpec: Dict[str, Any]) -> Dict[str, Any]: - """ - Processes a document for an agent based on the document specification. - Uses AI to extract relevant content from the document based on the specification. - - Args: - document: The document to process - docSpec: The document specification from the project manager - - Returns: - Processed document with AI-extracted content - """ - processedDoc = document.copy() - partSpec = docSpec.get("contentPart", "") - - # Process each content item in the document - if "contents" in processedDoc: - processedContents = [] - - for content in processedDoc["contents"]: - - # Check if part required - if partSpec != "" and partSpec != content.get("name"): - continue - - # Get the data from the content - data = content.get("data", "") - processedContent = content.copy() - - # Check if content data is base64 encoded - isBase64 = content.get("metadata", {}).get("base64Encoded", False) - - try: - # Use the AI service to process the document content according to the prompt from the project manager for the document specification - summary = docSpec.get("prompt", "Extract the relevant information from this document") - aiPrompt = f""" -# Please process the following document content according to this instruction: - -{summary} - - -# Document content: - -{data} - - -# Extract and provide only the relevant information as requested. -""" - - # Call the AI service through mydom for language support - processedData = await self.mydom.callAi([ - {"role": "system", "content": "You are a document processing assistant. Extract only the relevant information as requested."}, - {"role": "user", "content": aiPrompt} - ]) - - # DO NOT change the original data field - # processedContent["data"] unchanged - processedContent["dataExtracted"] = processedData - processedContent["metadata"]["aiProcessed"] = True - - except Exception as e: - logger.error(f"Error processing document content with AI: {str(e)}") - # Fall back to original content if AI processing fails - processedContent["dataExtracted"] = "(no information)" - - processedContents.append(processedContent) - - processedDoc["contents"] = processedContents - - return processedDoc - - async def messageSummarizeContent(self, content: Dict[str, Any]) -> str: - """ - Generates a summary for a content item using AI. - - Args: - content: Content item to summarize (already processed by getDocumentContents) - - Returns: - Brief summary of the content - """ - # Extract relevant information - data = content.get("data", "") - contentType = content.get("contentType", "text/plain") - isText = content.get("metadata", {}).get("isText", False) - - try: - # Use the mydom for language-aware AI calls - summary = await self.mydom.callAi([ - {"role": "system", "content": "You are a content summarizer. Create very concise summary (1-2 sentences, maximum 200 characters) about this file."}, - {"role": "user", "content": f"Summarize this {contentType} content briefly:\n\n{data}"} - ]) - return summary - - except Exception as e: - logger.error(f"Error generating content summary: {str(e)}") - return f"Text content ({contentType})" - - def messageAdd(self, workflow: Dict[str, Any], message: Dict[str, Any]) -> Dict[str, Any]: - """ - Adds a message to the workflow and updates lastActivity. - Saves the message in the database and updates the workflow with references. - - Args: - workflow: Workflow object - message: Message to be saved - - Returns: - Added message - """ - currentTime = datetime.now().isoformat() - - # Ensure messages list exists - if "messages" not in workflow: - workflow["messages"] = [] - - # Generate new message ID if not present - if "id" not in message: - message["id"] = f"msg_{str(uuid.uuid4())}" - - # Add workflow ID and timestamps - message["workflowId"] = workflow["id"] - message["startedAt"] = currentTime - message["finishedAt"] = currentTime - - # Set sequence number - message["sequenceNo"] = len(workflow["messages"]) + 1 - - # Ensure required fields are present - if "role" not in message: - # Set a default role based on agentName - message["role"] = "assistant" if message.get("agentName") else "user" - - if "agentName" not in message: - message["agentName"] = "" - - # Set status if not present - if "status" not in message: - message["status"] = "step" - - # Add message to workflow - workflow["messages"].append(message) - - # Ensure messageIds list exists - if "messageIds" not in workflow: - workflow["messageIds"] = [] - - # Add message ID to the messageIds list - workflow["messageIds"].append(message["id"]) - - # Update workflow status - workflow["lastActivity"] = currentTime - - # Save to database - first the message itself - self.mydom.createWorkflowMessage(message) - - # Then save the workflow with updated references - workflowUpdate = { - "lastActivity": currentTime, - "messageIds": workflow["messageIds"] # Update the messageIds field - } - self.mydom.updateWorkflow(workflow["id"], workflowUpdate) - - return message - - def logAdd(self, workflow: Dict[str, Any], message: str, level: str = "info", - progress: Optional[int] = None) -> str: - """ - Adds a log entry to the workflow and also logs it in the logger. - Enhanced with standardized formatting and workflow status tracking. - - Args: - workflow: Workflow object - message: Log message - level: Log level (info, warning, error) - progress: Optional - Progress value (0-100) - - Returns: - ID of the created log entry - """ - # Ensure logs list exists - if "logs" not in workflow: - workflow["logs"] = [] - - # Generate log ID - logId = f"log_{str(uuid.uuid4())}" - - # Get workflow status - workflowStatus = workflow.get("status", "running") - - # Set agentName from global settings - agentName = GLOBAL_WORKFLOW_LABELS.get("systemName", "unknown") - - # Create log entry - logEntry = { - "id": logId, - "workflowId": workflow["id"], - "message": message, - "type": level, - "timestamp": datetime.now().isoformat(), - "agentName": agentName, - "status": workflowStatus - } - - # Add progress if provided - if progress is not None: - logEntry["progress"] = progress - - # Add log to workflow - workflow["logs"].append(logEntry) - - # Save in database - self.mydom.createWorkflowLog(logEntry) - - # Also log in logger - if level == "info": - logger.info(f"Workflow {workflow['id']}: {message}") - elif level == "warning": - logger.warning(f"Workflow {workflow['id']}: {message}") - elif level == "error": - logger.error(f"Workflow {workflow['id']}: {message}") - - return logId - - def saveAgentDocuments(self, agentResults: Dict[str, Any]) -> List[int]: - """ - Saves all documents from agent results as files and returns a list of file IDs. - Enhanced to handle the standardized document format from agents with base64Encoded flag. - - Args: - agentResults: Dictionary containing agent feedback and documents - - Returns: - List of file IDs for the saved documents - """ - fileIds = [] - - # Extract documents from agent results - documents = agentResults.get("documents", []) - - for doc in documents: - try: - # Extract label (filename) and content - label = doc.get("label", "unnamed_file.txt") - content = doc.get("content", "") - base64Encoded = doc.get("base64Encoded", False) - - # Split label into name and extension - name, ext = os.path.splitext(label) - if ext.startswith('.'): - ext = ext[1:] # Remove leading dot - elif not ext: - # If no extension is provided, default to .txt for text content - ext = "txt" - label = f"{label}.{ext}" - - # Convert content to bytes based on base64Encoded flag - if isinstance(content, str): - if base64Encoded: - # Decode base64 to bytes - try: - import base64 - fileContent = base64.b64decode(content) - except Exception as e: - logger.warning(f"Failed to decode base64 content: {str(e)}") - fileContent = content.encode('utf-8') - base64Encoded = False - else: - # Convert text to bytes - fileContent = content.encode('utf-8') - else: - # Already bytes - fileContent = content - - # Determine MIME type based on extension - mimeType = self.mydom.getMimeType(label) - - # Save file to database - fileMeta = self.mydom.saveUploadedFile(fileContent, label) - - if fileMeta and "id" in fileMeta: - fileId = fileMeta["id"] - fileIds.append(fileId) - logger.info(f"Saved document '{label}' with file ID: {fileId} (base64Encoded: {base64Encoded})") - else: - logger.warning(f"Failed to save document '{label}'") - - except Exception as e: - logger.error(f"Error saving document from agent results: {str(e)}") - # Continue with other documents instead of failing - continue - - return fileIds - - def getAvailableDocuments(self, workflow: Dict[str, Any], messageUser: Dict[str, Any]) -> List[Dict[str, Any]]: - """ - Determines all currently available documents from user input and already generated documents. - - Args: - messageUser: Current message from the user - workflow: Current workflow object - - Returns: - List with information about all available documents, sorted by message sequenceNr in descending order - """ - availableDocs = [] - - if "messages" in workflow and workflow["messages"]: - for message in workflow["messages"]: - messageId = message.get("id", "unknown") - sequenceNr = message.get("sequenceNo", 0) - - # Determine source - source = "user" if messageId == messageUser.get("id") else "workflow" - - # Process documents in this message - if "documents" in message and message["documents"]: - for doc in message["documents"]: - # Get filename using our helper method - filename = self.getFilename(doc) - fileId = doc.get("fileId") - - # Extract summaries from all contents - contentSummaries = [] - for content in doc.get("contents", []): - contentSummaries.append({ - "contentPart": content.get("name", "noname"), - "metadata": content.get("metadata", ""), - "summary": content.get("summary", "No summary"), - }) - - # Create document info - docInfo = { - "sequenceNr": sequenceNr, - "fileSource": source, - "fileId": fileId, - "messageId": messageId, - "label": filename, - "contentSummaryList": contentSummaries, - } - availableDocs.append(docInfo) - - # Sort by message sequenceNr in descending order (newest first) - availableDocs.sort(key=lambda x: x["sequenceNr"], reverse=True) - - logger.info(f"Available documents: {len(availableDocs)}") - return availableDocs - - def agentProfiles(self) -> List[Dict[str, Any]]: - """ - Gets information about all available agents. - - Returns: - List with information about all available agents - """ - return self.agentRegistry.getAgentInfos() - - def getFilename(self, document: Dict[str, Any]) -> str: - """ - Gets the filename from a document by combining name and extension. - - Args: - document: Document object - - Returns: - Filename with extension - """ - name = document.get("name", "unnamed") - ext = document.get("ext", "") - if ext: - return f"{name}.{ext}" - return name - - def parseJson2text(self, jsonObj: Any) -> str: - """ - Converts a JSON object to a readable text representation. - - Args: - jsonObj: JSON object to convert - - Returns: - Formatted text representation - """ - if not jsonObj: - return "No data available" - - try: - # Format with indentation for better readability - return json.dumps(jsonObj, indent=2, ensure_ascii=False) - except Exception as e: - logger.error(f"Error in JSON conversion: {str(e)}") - return str(jsonObj) - - def parseJsonResponse(self, responseText: str) -> Dict[str, Any]: - """ - Parses the JSON response from a text. - - Args: - responseText: Text with JSON content - - Returns: - Parsed JSON data - """ - try: - # Extract JSON from the text (if mixed with other content) - jsonStart = responseText.find('{') - jsonEnd = responseText.rfind('}') + 1 - - if jsonStart >= 0 and jsonEnd > jsonStart: - jsonStr = responseText[jsonStart:jsonEnd] - return json.loads(jsonStr) - else: - # Try to parse the entire text - return json.loads(responseText) - except json.JSONDecodeError as e: - logger.error(f"JSON parsing error: {str(e)}") - # Fallback: Return empty structure - return { - "objFinalDocuments": [], - "objWorkplan": [], - "objUserResponse": "Sorry, I could not parse your data.", - "userLanguage": "en" - } - - -# Singleton factory for the WorkflowManager -_workflowManagers = {} - -def getWorkflowManager(mandateId: int = 0, userId: int = 0) -> WorkflowManager: - """ - Returns a WorkflowManager for the specified context. - Reuses existing instances. - - Args: - mandateId: ID of the mandate - userId: ID of the user - - Returns: - WorkflowManager instance - """ - contextKey = f"{mandateId}_{userId}" - if contextKey not in _workflowManagers: - _workflowManagers[contextKey] = WorkflowManager(mandateId, userId) - return _workflowManagers[contextKey] \ No newline at end of file diff --git a/static/117_workflowAgentsRegistry.py b/static/117_workflowAgentsRegistry.py deleted file mode 100644 index 8cd7d63d..00000000 --- a/static/117_workflowAgentsRegistry.py +++ /dev/null @@ -1,270 +0,0 @@ -""" -Agent Registry Module. -Provides a central registry system for all available agents. -Optimized for the standardized task processing pattern. -""" - -import os -import logging -import importlib -import uuid -from datetime import datetime -from typing import Dict, Any, List, Optional -from modules.mimeUtils import isTextMimeType, determineContentEncoding - - -logger = logging.getLogger(__name__) - -""" -Updates to the AgentBase class in workflowAgentsRegistry.py to include base64Encoded flag handling. -""" - -class AgentBase: - """ - Base class for all chat agents. - Defines the standardized interface for task processing. - """ - - def __init__(self): - """Initialize the base agent.""" - self.name = "base-agent" - self.description = "Basic agent functionality" - self.capabilities = [] - self.mydom = None - - def setDependencies(self, mydom=None): - """Set external dependencies for the agent.""" - self.mydom = mydom - - def getAgentInfo(self) -> Dict[str, Any]: - """ - Return standardized information about the agent's capabilities. - - Returns: - Dictionary with name, description, and capabilities - """ - return { - "name": self.name, - "description": self.description, - "capabilities": self.capabilities - } - - async def processTask(self, task: Dict[str, Any]) -> Dict[str, Any]: - """ - Process a standardized task structure and return results. - This method must be implemented by all concrete agent classes. - - Args: - task: A dictionary containing: - - taskId: Unique ID for this task - - workflowId: ID of the parent workflow (optional) - - prompt: The main instruction for the agent - - inputDocuments: List of document objects to process - - outputSpecifications: List of required output documents - - context: Additional contextual information - - Returns: - A dictionary containing: - - feedback: Text response explaining what the agent did - - documents: List of document objects created by the agent, - each containing a "base64Encoded" flag in addition to "label" and "content" - """ - # Base implementation - should be overridden by specialized agents - logger.warning(f"Agent {self.name} is using the default implementation of processTask") - return { - "feedback": f"The processTask method was not implemented by agent '{self.name}'.", - "documents": [] - } - - def determineBase64EncodingFlag(self, filename: str, content: Any, mimeType: str = None) -> bool: - """Wrapper for the utility function""" - return determineContentEncoding(filename, content, mimeType) - - def isTextMimeType(self, mimeType: str) -> bool: - """Wrapper for the utility function""" - return isTextMimeType(mimeType) - - def formatAgentDocumentOutput(self, label: str, content: Any, contentType: str = None) -> Dict[str, Any]: - """ - Helper method to properly format a document output with base64Encoded flag and metadata. - - Args: - label: Name of the document - content: Content of the document - contentType: Optional content type for the document - - Returns: - Properly formatted document dictionary - """ - import base64 - - # Determine if content should be base64 encoded - should_base64_encode = self.determineBase64EncodingFlag(label, content) - - # Process content based on type and encoding flag - formatted_content = content - - if should_base64_encode: - if isinstance(content, bytes): - # Convert binary to base64 - formatted_content = base64.b64encode(content).decode('utf-8') - elif isinstance(content, str): - try: - # Check if it's already base64 encoded - base64.b64decode(content) - # If we get here, it appears to be valid base64 - formatted_content = content - except: - # Not valid base64, so encode it - formatted_content = base64.b64encode(content.encode('utf-8')).decode('utf-8') - - # Create document with metadata - doc = { - "label": label, - "content": formatted_content, - "base64Encoded": should_base64_encode, - "metadata": {} - } - - # Add content type if provided - if contentType: - doc["metadata"]["contentType"] = contentType - - return doc - -class AgentRegistry: - """Central registry for all available agents in the system.""" - - _instance = None - - @classmethod - def getInstance(cls): - """Return a singleton instance of the agent registry.""" - if cls._instance is None: - cls._instance = cls() - return cls._instance - - def __init__(self): - """Initialize the agent registry.""" - if AgentRegistry._instance is not None: - raise RuntimeError("Singleton instance already exists - use getInstance()") - - self.agents = {} - self.mydom = None - self._loadAgents() - - def _loadAgents(self): - """Load all available agents from modules.""" - logger.info("Loading agent modules...") - - # List of agent modules to load - agentModules = [] - agentDir = os.path.dirname(__file__) - - # Search the directory for agent modules - for filename in os.listdir(agentDir): - if filename.startswith("agent") and filename.endswith(".py"): - agentModules.append(filename[0:-3]) # Remove .py extension - - if not agentModules: - logger.warning("No agent modules found") - return - - logger.info(f"{len(agentModules)} agent modules found") - - # Load each agent module - for moduleName in agentModules: - try: - # Import the module - module = importlib.import_module(f"modules.{moduleName}") - - # Look for agent class or get_*_agent function - agentName = moduleName.split("agent")[-1] - className = f"Agent{agentName}" - getterName = f"getAgent{agentName}" - - agent = None - - # Try to get the agent via the get*Agent function - if hasattr(module, getterName): - getterFunc = getattr(module, getterName) - agent = getterFunc() - logger.info(f"Agent '{agent.name}' loaded via {getterName}()") - - # Alternatively, try to instantiate the agent directly - elif hasattr(module, className): - agentClass = getattr(module, className) - agent = agentClass() - logger.info(f"Agent '{agent.name}' directly instantiated") - - if agent: - # Register the agent - self.registerAgent(agent) - else: - logger.warning(f"No agent class or getter function found in module {moduleName}") - - except ImportError as e: - logger.error(f"Module {moduleName} could not be imported: {e}") - except Exception as e: - logger.error(f"Error loading agent from module {moduleName}: {e}") - - def setMydom(self, mydom): - """Set the AI service for all agents.""" - self.mydom = mydom - self.updateAgentDependencies() - - def updateAgentDependencies(self): - """Update dependencies for all registered agents.""" - for agentId, agent in self.agents.items(): - if hasattr(agent, 'setDependencies'): - agent.setDependencies(mydom=self.mydom) - - def registerAgent(self, agent): - """ - Register an agent in the registry. - - Args: - agent: The agent to register - """ - agentId = getattr(agent, 'name', "unknown_agent") - # Initialize agent with dependencies - if hasattr(agent, 'setDependencies'): - agent.setDependencies(mydom=self.mydom) - self.agents[agentId] = agent - logger.debug(f"Agent '{agent.name}' registered") - - def getAgent(self, agentIdentifier: str): - """ - Return an agent instance - Args: - agentIdentifier: ID or type of the desired agent - Returns: - Agent instance or None if not found - """ - if agentIdentifier in self.agents: - agent = self.agents[agentIdentifier] - # Ensure the agent has the AI service - if hasattr(agent, 'setDependencies') and self.mydom: - agent.setDependencies(mydom=self.mydom) - return agent - logger.error(f"Agent with identifier '{agentIdentifier}' not found") - return None - - def getAllAgents(self) -> Dict[str, Any]: - """Return all registered agents.""" - return self.agents - - def getAgentInfos(self) -> List[Dict[str, Any]]: - """Return information about all registered agents.""" - agentInfos = [] - seenAgents = set() - for agent in self.agents.values(): - if agent not in seenAgents: - agentInfos.append(agent.getAgentInfo()) - seenAgents.add(agent) - return agentInfos - - -# Singleton factory for the agent registry -def getAgentRegistry(): - return AgentRegistry.getInstance() \ No newline at end of file diff --git a/static/118_agentAnalyst.py b/static/118_agentAnalyst.py deleted file mode 100644 index 853b3955..00000000 --- a/static/118_agentAnalyst.py +++ /dev/null @@ -1,670 +0,0 @@ -""" -Data analyst agent for analysis and interpretation of data. -Focuses on output-first design with AI-powered analysis. -""" - -import logging -import json -import io -import base64 -from typing import Dict, Any, List -import pandas as pd -import matplotlib.pyplot as plt -import seaborn as sns - -from modules.workflowAgentsRegistry import AgentBase - -logger = logging.getLogger(__name__) - -class AgentAnalyst(AgentBase): - """AI-driven agent for data analysis and visualization""" - - def __init__(self): - """Initialize the data analysis agent""" - super().__init__() - self.name = "analyst" - self.description = "Analyzes data using AI-powered insights and visualizations, produce diagrams and visualizations" - self.capabilities = [ - "dataAnalysis", - "statistics", - "visualization", - "dataInterpretation", - "reportGeneration" - ] - - # Set default visualization settings - plt.style.use('seaborn-v0_8-whitegrid') - - def setDependencies(self, mydom=None): - """Set external dependencies for the agent.""" - self.mydom = mydom - - async def processTask(self, task: Dict[str, Any]) -> Dict[str, Any]: - """ - Process a task by focusing on required outputs and using AI to generate them. - - Args: - task: Task dictionary with prompt, inputDocuments, outputSpecifications - - Returns: - Dictionary with feedback and documents - """ - try: - # Extract task information - prompt = task.get("prompt", "") - inputDocuments = task.get("inputDocuments", []) - outputSpecs = task.get("outputSpecifications", []) - - # Check AI service - if not self.mydom: - return { - "feedback": "The Analyst agent requires an AI service to function.", - "documents": [] - } - - # Extract data from documents - focusing only on dataExtracted - datasets, documentContext = self._extractData(inputDocuments) - - # Generate task analysis to understand what's needed - analysisPlan = await self._analyzeTask(prompt, documentContext, datasets, outputSpecs) - - # Generate all required output documents - documents = [] - - # If no output specs provided, create default analysis outputs - if not outputSpecs: - outputSpecs = [] - - # Process each output specification - for spec in outputSpecs: - outputLabel = spec.get("label", "") - outputDescription = spec.get("description", "") - - # Determine type based on file extension - outputType = outputLabel.split('.')[-1].lower() if '.' in outputLabel else "txt" - - # Generate appropriate content based on output type - if outputType in ['png', 'jpg', 'jpeg', 'svg']: - # Create visualization - document = await self._createVisualization( - datasets, prompt, outputLabel, analysisPlan, outputDescription - ) - documents.append(document) - elif outputType in ['csv', 'json', 'xlsx']: - # Create data document - document = await self._createDataDocument( - datasets, prompt, outputLabel, analysisPlan, outputDescription - ) - documents.append(document) - else: - # Create text document (report, analysis, etc.) - document = await self._createTextDocument( - datasets, documentContext, prompt, outputLabel, - outputType, analysisPlan, outputDescription - ) - documents.append(document) - - # Generate feedback - feedback = f"{analysisPlan.get('analysisApproach')}" - if analysisPlan.get("keyInsights"): - feedback += f"\n\n{analysisPlan.get('keyInsights')}" - - return { - "feedback": feedback, - "documents": documents - } - - except Exception as e: - logger.error(f"Error in analysis: {str(e)}", exc_info=True) - return { - "feedback": f"Error during analysis: {str(e)}", - "documents": [] - } - - def _extractData(self, documents: List[Dict[str, Any]]) -> tuple: - """ - Extract data from documents, focusing on dataExtracted fields. - - Args: - documents: List of input documents - - Returns: - Tuple of (datasets dictionary, document context text) - """ - datasets = {} - documentContext = "" - - # Process each document - for doc in documents: - docName = doc.get("name", "unnamed") - if doc.get("ext"): - docName = f"{docName}.{doc.get('ext')}" - - documentContext += f"\n\n--- {docName} ---\n" - - # Process contents - for content in doc.get("contents", []): - # Focus only on dataExtracted - if content.get("dataExtracted"): - extractedText = content.get("dataExtracted", "") - documentContext += extractedText - - # Try to parse as structured data if appropriate - if docName.lower().endswith(('.csv', '.tsv')): - try: - df = pd.read_csv(io.StringIO(extractedText)) - datasets[docName] = df - except: - pass - elif docName.lower().endswith('.json'): - try: - jsonData = json.loads(extractedText) - if isinstance(jsonData, list): - df = pd.DataFrame(jsonData) - datasets[docName] = df - elif isinstance(jsonData, dict): - # Handle nested JSON structures - if any(isinstance(v, list) for v in jsonData.values()): - for key, value in jsonData.items(): - if isinstance(value, list) and len(value) > 0: - df = pd.DataFrame(value) - datasets[f"{docName}:{key}"] = df - else: - df = pd.DataFrame([jsonData]) - datasets[docName] = df - except: - pass - - # Try to detect tabular data in text content - if docName not in datasets and len(extractedText.splitlines()) > 2: - lines = extractedText.splitlines() - if any(',' in line for line in lines[:5]): - try: - df = pd.read_csv(io.StringIO(extractedText)) - if len(df.columns) > 1: - datasets[docName] = df - except: - pass - elif any('\t' in line for line in lines[:5]): - try: - df = pd.read_csv(io.StringIO(extractedText), sep='\t') - if len(df.columns) > 1: - datasets[docName] = df - except: - pass - - return datasets, documentContext - - async def _analyzeTask(self, prompt: str, context: str, datasets: Dict, outputSpecs: List) -> Dict: - """ - Use AI to analyze the task and create a plan for analysis. - - Args: - prompt: The task prompt - context: Document context text - datasets: Dictionary of extracted datasets - outputSpecs: Output specifications - - Returns: - Analysis plan dictionary - """ - # Prepare dataset information - datasetInfo = {} - for name, df in datasets.items(): - try: - datasetInfo[name] = { - "shape": df.shape, - "columns": df.columns.tolist(), - "dtypes": {col: str(df[col].dtype) for col in df.columns}, - "sample": df.head(3).to_dict(orient='records') - } - except: - datasetInfo[name] = {"error": "Could not process dataset"} - - analysisPrompt = f""" - Analyze this data analysis task and create a plan. - - TASK: {prompt} - - AVAILABLE DATA: - {json.dumps(datasetInfo, indent=2)} - - DOCUMENT CONTEXT: - {context[:1000]}... (truncated) - - OUTPUT REQUIREMENTS: - {json.dumps(outputSpecs, indent=2)} - - Create a detailed analysis plan in JSON format with the following structure: - {{ - "analysisType": "statistical|trend|comparative|predictive|cluster|general", - "keyQuestions": ["question1", "question2"], - "recommendedVisualizations": [{{ - "type": "chart_type", - "dataSource": "dataset_name", - "variables": ["col1", "col2"], - "purpose": "explanation" - }}], - "keyInsights": "brief summary of initial insights", - "analysisApproach": "brief description of recommended approach" - }} - - Only return valid JSON. No preamble or explanations. - """ - try: - response = await self.mydom.callAi([ - {"role": "system", "content": "You are a data analysis expert. Respond with valid JSON only."}, - {"role": "user", "content": analysisPrompt} - ], produceUserAnswer = True) - - # Extract JSON from response - jsonStart = response.find('{') - jsonEnd = response.rfind('}') + 1 - - if jsonStart >= 0 and jsonEnd > jsonStart: - plan = json.loads(response[jsonStart:jsonEnd]) - return plan - else: - # Fallback if JSON not found - return { - "analysisType": "general", - "keyQuestions": ["What insights can be extracted from this data?"], - "recommendedVisualizations": [], - "keyInsights": "Analysis plan could not be created", - "analysisApproach": "General exploratory analysis" - } - - except Exception as e: - logger.warning(f"Error creating analysis plan: {str(e)}") - return { - "analysisType": "general", - "keyQuestions": ["What insights can be extracted from this data?"], - "recommendedVisualizations": [], - "keyInsights": "Analysis plan could not be created", - "analysisApproach": "General exploratory analysis" - } - - async def _createVisualization(self, datasets: Dict, prompt: str, outputLabel: str, - analysisPlan: Dict, description: str) -> Dict: - """ - Create visualization document using AI guidance. - - Args: - datasets: Dictionary of datasets - prompt: Original task prompt - outputLabel: Output filename - analysisPlan: Analysis plan from AI - description: Output description - - Returns: - Visualization document - """ - # Determine format from filename - formatType = outputLabel.split('.')[-1].lower() - if formatType not in ['png', 'jpg', 'jpeg', 'svg']: - formatType = 'png' - - # If no datasets available, create error message image - if not datasets: - plt.figure(figsize=(10, 6)) - plt.text(0.5, 0.5, "No data available for visualization", - ha='center', va='center', fontsize=14) - plt.tight_layout() - imgData = self._getImageBase64(formatType) - plt.close() - - return { - "label": outputLabel, - "content": imgData, - "metadata": { - "contentType": f"image/{formatType}" - } - } - - # Get recommended visualization from plan - recommendedViz = analysisPlan.get("recommendedVisualizations", []) - - # Prepare dataset info for the first dataset if none specified - if not recommendedViz and datasets: - name, df = next(iter(datasets.items())) - recommendedViz = [{ - "type": "auto", - "dataSource": name, - "variables": df.columns.tolist()[:5], - "purpose": "general analysis" - }] - - # Create visualization code prompt - vizPrompt = f""" - Generate Python matplotlib/seaborn code to create a visualization for: - - TASK: {prompt} - - VISUALIZATION REQUIREMENTS: - - Output format: {formatType} - - Filename: {outputLabel} - - Description: {description} - - RECOMMENDED VISUALIZATION: - {json.dumps(recommendedViz, indent=2)} - - AVAILABLE DATASETS: - """ - - # Add dataset info for recommended sources - for viz in recommendedViz: - dataSource = viz.get("dataSource") - if dataSource in datasets: - df = datasets[dataSource] - vizPrompt += f"\nDataset '{dataSource}':\n" - vizPrompt += f"- Shape: {df.shape}\n" - vizPrompt += f"- Columns: {df.columns.tolist()}\n" - vizPrompt += f"- Sample data: {df.head(3).to_dict(orient='records')}\n" - - vizPrompt += """ - Generate ONLY Python code that: - 1. Uses matplotlib and/or seaborn to create a clear visualization - 2. Sets figure size to (10, 6) - 3. Includes appropriate titles, labels, and legend - 4. Uses professional color schemes - 5. Handles any missing data gracefully - - Return ONLY executable Python code, no explanations or markdown. - """ - - try: - # Get visualization code from AI - vizCode = await self.mydom.callAi([ - {"role": "system", "content": "You are a data visualization expert. Provide only executable Python code."}, - {"role": "user", "content": vizPrompt} - ], produceUserAnswer = True) - - # Clean code - vizCode = vizCode.replace("```python", "").replace("```", "").strip() - - # Execute visualization code - plt.figure(figsize=(10, 6)) - - # Make local variables available to the code - localVars = { - "plt": plt, - "sns": sns, - "pd": pd, - "np": __import__('numpy') - } - - # Add datasets to local variables - for name, df in datasets.items(): - # Create a sanitized variable name - varName = ''.join(c if c.isalnum() else '_' for c in name) - localVars[varName] = df - - # Also add with standard names for simpler code - if "df" not in localVars: - localVars["df"] = df - elif "df2" not in localVars: - localVars["df2"] = df - - # Execute the visualization code - exec(vizCode, globals(), localVars) - - # Capture the image - imgData = self._getImageBase64(formatType) - plt.close() - - return self.formatAgentDocumentOutput(outputLabel, imgData, f"image/{formatType}") - - except Exception as e: - logger.error(f"Error creating visualization: {str(e)}", exc_info=True) - - # Create error message image - plt.figure(figsize=(10, 6)) - plt.text(0.5, 0.5, f"Visualization error: {str(e)}", - ha='center', va='center', fontsize=12) - plt.tight_layout() - imgData = self._getImageBase64(formatType) - plt.close() - - return self.formatAgentDocumentOutput(outputLabel, imgData, f"image/{formatType}") - - async def _createDataDocument(self, datasets: Dict, prompt: str, outputLabel: str, - analysisPlan: Dict, description: str) -> Dict: - """ - Create a data document (e.g., CSV, JSON) based on analysis. - - Args: - datasets: Dictionary of datasets - prompt: Original task prompt - outputLabel: Output filename - analysisPlan: Analysis plan from AI - description: Output description - - Returns: - Data document - """ - # Determine format from filename - formatType = outputLabel.split('.')[-1].lower() - - # If no datasets available, return error message - if not datasets: - return { - "label": outputLabel, - "content": f"No data available for processing into {formatType} format.", - "metadata": { - "contentType": "text/plain" - } - } - - # Generate data processing instructions - dataPrompt = f""" - Create Python code to process datasets and generate a {formatType} file for: - - TASK: {prompt} - - OUTPUT REQUIREMENTS: - - Format: {formatType} - - Filename: {outputLabel} - - Description: {description} - - ANALYSIS CONTEXT: - {json.dumps(analysisPlan, indent=2)} - - AVAILABLE DATASETS: - """ - - # Add dataset info - for name, df in datasets.items(): - dataPrompt += f"\nDataset '{name}':\n" - dataPrompt += f"- Shape: {df.shape}\n" - dataPrompt += f"- Columns: {df.columns.tolist()}\n" - dataPrompt += f"- Sample data: {df.head(3).to_dict(orient='records')}\n" - - dataPrompt += """ - Generate Python code that: - 1. Processes the available dataset(s) - 2. Performs necessary transformations, aggregations, or calculations - 3. Outputs the result in the requested format - 4. Returns the content as a string variable named 'result' - - Return ONLY executable Python code, no explanations or markdown. - """ - - try: - # Get data processing code from AI - dataCode = await self.mydom.callAi([ - {"role": "system", "content": "You are a data processing expert. Provide only executable Python code."}, - {"role": "user", "content": dataPrompt} - ], produceUserAnswer = True) - - # Clean code - dataCode = dataCode.replace("```python", "").replace("```", "").strip() - - # Setup execution environment - localVars = {"pd": pd, "np": __import__('numpy'), "io": io} - - # Add datasets to local variables - for name, df in datasets.items(): - # Create a sanitized variable name - varName = ''.join(c if c.isalnum() else '_' for c in name) - localVars[varName] = df - - # Also add with standard names for simpler code - if "df" not in localVars: - localVars["df"] = df - elif "df2" not in localVars: - localVars["df2"] = df - - # Execute the code - exec(dataCode, globals(), localVars) - - # Get the result - result = localVars.get("result", "No output was generated.") - - # Determine content type - contentType = "text/csv" if formatType == "csv" else \ - "application/json" if formatType == "json" else \ - "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" if formatType == "xlsx" else \ - "text/plain" - - return self.formatAgentDocumentOutput(outputLabel, result, contentType) - - - except Exception as e: - logger.error(f"Error creating data document: {str(e)}", exc_info=True) - - return { - "label": outputLabel, - "content": f"Error generating {formatType} document: {str(e)}", - "metadata": { - "contentType": "text/plain" - } - } - - async def _createTextDocument(self, datasets: Dict, context: str, prompt: str, - outputLabel: str, formatType: str, - analysisPlan: Dict, description: str) -> Dict: - """ - Create a text document (report, analysis, etc.) based on analysis. - - Args: - datasets: Dictionary of datasets - context: Document context text - prompt: Original task prompt - outputLabel: Output filename - formatType: Output format type - analysisPlan: Analysis plan from AI - description: Output description - - Returns: - Text document - """ - # Create dataset summaries - datasetSummaries = [] - for name, df in datasets.items(): - summary = f"Dataset: {name}\n" - summary += f"- Shape: {df.shape[0]} rows, {df.shape[1]} columns\n" - summary += f"- Columns: {', '.join(df.columns.tolist())}\n" - - # Basic statistics for numeric columns - numericCols = df.select_dtypes(include=['number']).columns - if len(numericCols) > 0: - summary += "- Numeric Columns Stats:\n" - for col in numericCols[:3]: # Limit to first 3 - stats = df[col].describe() - summary += f" - {col}: min={stats['min']:.2f}, max={stats['max']:.2f}, mean={stats['mean']:.2f}\n" - - datasetSummaries.append(summary) - - # Determine content type based on format - contentType = "text/markdown" if formatType in ["md", "markdown"] else \ - "text/html" if formatType == "html" else \ - "text/plain" - - # Generate analysis prompt - analysisPrompt = f""" - Create a detailed {formatType} document for: - - TASK: {prompt} - - OUTPUT REQUIREMENTS: - - Format: {formatType} - - Filename: {outputLabel} - - Description: {description} - - ANALYSIS CONTEXT: - {json.dumps(analysisPlan, indent=2)} - - DATASET SUMMARIES: - {"".join(datasetSummaries)} - - DOCUMENT CONTEXT: - {context[:2000]}... (truncated) - - Create a comprehensive, professional analysis document that addresses the task requirements. - The document should: - 1. Have a clear structure with headings and sections - 2. Include relevant data findings and insights - 3. Provide appropriate interpretations and recommendations - 4. Format the content according to the required output format - - Your response should be the complete document content in the specified format. - """ - - try: - # Get document content from AI - documentContent = await self.mydom.callAi([ - {"role": "system", "content": f"You are a data analysis expert creating a {formatType} document."}, - {"role": "user", "content": analysisPrompt} - ], produceUserAnswer = True) - - # Clean HTML or Markdown if needed - if formatType in ["md", "markdown"] and not documentContent.strip().startswith("#"): - documentContent = f"# Analysis Report\n\n{documentContent}" - elif formatType == "html" and not "{documentContent}" - - return self.formatAgentDocumentOutput(outputLabel, documentContent, contentType) - - except Exception as e: - logger.error(f"Error creating text document: {str(e)}", exc_info=True) - - # Create a simple error document - if formatType in ["md", "markdown"]: - content = f"# Error in Analysis\n\nThere was an error generating the analysis: {str(e)}" - elif formatType == "html": - content = f"

Error in Analysis

There was an error generating the analysis: {str(e)}

" - else: - content = f"Error in Analysis\n\nThere was an error generating the analysis: {str(e)}" - - return { - "label": outputLabel, - "content": content, - "metadata": { - "contentType": contentType - } - } - - def _getImageBase64(self, formatType: str = 'png') -> str: - """ - Convert current matplotlib figure to base64 string. - - Args: - formatType: Image format - - Returns: - Base64 encoded string of the image - """ - buffer = io.BytesIO() - plt.savefig(buffer, format=formatType, dpi=100) - buffer.seek(0) - imageData = buffer.getvalue() - buffer.close() - - # Convert to base64 - return base64.b64encode(imageData).decode('utf-8') - - -# Factory function for the Analyst agent -def getAgentAnalyst(): - """Returns an instance of the Analyst agent.""" - return AgentAnalyst() \ No newline at end of file diff --git a/static/119_agentCoder.py b/static/119_agentCoder.py deleted file mode 100644 index a263c68e..00000000 --- a/static/119_agentCoder.py +++ /dev/null @@ -1,764 +0,0 @@ -""" -Simple Coder Agent for execution of Python code. -Modified to pass expected output document names to the generated code. -""" - -import logging -import json -import os -import subprocess -import tempfile -import shutil -import sys -from typing import Dict, Any, List, Tuple - -from modules.workflowAgentsRegistry import AgentBase -from modules.configuration import APP_CONFIG - -logger = logging.getLogger(__name__) - -class AgentCoder(AgentBase): - """Simplified Agent for developing and executing Python code with integrated executor""" - - def __init__(self): - """Initialize the coder agent""" - super().__init__() - self.name = "coder" - self.description = "Develops and executes Python code for data processing and automation" - self.capabilities = [ - "code_development", - "data_processing", - "file_processing", - "automation", - "code_execution" - ] - - # Executor settings - self.executorTimeout = int(APP_CONFIG.get("Agent_Coder_EXECUTION_TIMEOUT")) # seconds - self.executionRetryLimit = int(APP_CONFIG.get("Agent_Coder_EXECUTION_RETRY")) # max retries - self.tempDir = None - - def setDependencies(self, mydom=None): - """Set external dependencies for the agent.""" - self.mydom = mydom - - async def processTask(self, task: Dict[str, Any]) -> Dict[str, Any]: - """ - Process a task and perform code development/execution. - First checks if the task can be completed without code execution, - then falls back to code generation if needed. - Enhanced to ensure all generated documents are included in output. - - Args: - task: Task dictionary with prompt, inputDocuments, outputSpecifications - - Returns: - Dictionary with feedback and documents - """ - # 1. Extract task information - prompt = task.get("prompt", "") - inputDocuments = task.get("inputDocuments", []) - outputSpecs = task.get("outputSpecifications", []) - - # Check if AI service is available - if not self.mydom: - logger.error("No AI service configured for the Coder agent") - return { - "feedback": "The Coder agent is not properly configured.", - "documents": [] - } - - # 2. Extract data from documents in separate categories - documentData = [] # For raw file data (for code execution) - contentData = [] # For content data (later use) - contentExtraction = [] # For AI-extracted data (for quick completion) - - for doc in inputDocuments: - # Create proper filename from name and ext - filename = f"{doc.get('name')}.{doc.get('ext')}" if doc.get('ext') else doc.get('name') - - # Add main document data to documentData if it exists - docData = doc.get('data', '') - if docData: - isBase64 = True # Assume base64 encoded for document data - documentData.append([filename, docData, isBase64]) - - # Process contents for different uses - if doc.get('contents'): - for content in doc.get('contents', []): - contentName = content.get('name', 'unnamed') - - # For AI-extracted data (quick completion) - if content.get('dataExtracted'): - contentExtraction.append({ - "filename": filename, - "contentName": contentName, - "contentData": content.get('dataExtracted', ''), - "contentType": content.get('contentType', ''), - "summary": content.get('summary', '') - }) - - # For raw content data - if content.get('data'): - rawData = content.get('data', '') - isBase64 = content.get('metadata', {}).get('base64Encoded', False) - contentData.append({ - "filename": filename, - "contentName": contentName, - "data": rawData, - "isBase64": isBase64, - "contentType": content.get('contentType', '') - }) - - # Also add to documentData for code execution if not already added - if not docData or docData != rawData: - documentData.append([filename, rawData, isBase64]) - - # 3. Check if task can be completed without code execution - quickCompletion = await self._checkQuickCompletion(prompt, contentExtraction, outputSpecs) - - if quickCompletion and quickCompletion.get("complete") == 1: - logger.info("Task completed without code execution") - return { - "feedback": quickCompletion.get("prompt", "Task completed successfully."), - "documents": quickCompletion.get("documents", []) - } - else: - logger.debug(f"Code to generate, no quick check") - - # If quick completion not possible, continue with code generation and execution - logger.info("Generating code to solve the task") - - # 4. Generate code using AI - code, requirements = await self._generateCode(prompt, outputSpecs) - - if not code: - return { - "feedback": "Failed to generate code for the task.", - "documents": [] - } - - # 5. Replace the placeholder with actual inputFiles data - documentDataJson = repr(documentData) - codeWithData = code.replace("inputFiles = \"=== JSONLOAD ===\"", f"inputFiles = {documentDataJson}") - - # 6. Execute code with retry logic - retryCount = 0 - maxRetries = self.executionRetryLimit - executionHistory = [] - - while retryCount <= maxRetries: - executionResult = self._executeCode(codeWithData, requirements) - executionHistory.append({ - "attempt": retryCount + 1, - "code": codeWithData, - "result": executionResult - }) - - # Check if execution was successful - if executionResult.get("success", False): - logger.info(f"Code execution succeeded on attempt {retryCount + 1}") - break - - # If we've reached max retries, exit the loop - if retryCount >= maxRetries: - logger.info(f"Reached maximum retry limit ({maxRetries}). Giving up.") - break - - # Log the error and attempt to improve the code - error = executionResult.get("error", "Unknown error") - logger.info(f"Execution attempt {retryCount + 1} failed: {error}. Attempting to improve code.") - - # Generate improved code based on error - improvedCode, improvedRequirements = await self._improveCode( - originalCode=codeWithData, - error=error, - executionResult=executionResult, - attempt=retryCount + 1, - outputSpecs=outputSpecs - ) - - if improvedCode: - codeWithData = improvedCode - requirements = improvedRequirements - logger.info(f"Code improved for retry {retryCount + 2}") - else: - logger.warning("Failed to improve code, using original code for retry") - - retryCount += 1 - - # 7. Process results and create output documents - documents = [] - - # Always add the final code document - documents.append(self.formatAgentDocumentOutput("generated_code.py", codeWithData, "text/plain")) - - # Add execution history document - executionHistoryStr = json.dumps(executionHistory, indent=2) - documents.append(self.formatAgentDocumentOutput("execution_history.json", executionHistoryStr, "application/json")) - - # Enhanced result handling: Create documents based on execution results - fixed for proper content extraction - if executionResult.get("success", False): - resultData = executionResult.get("result") - - # Process results from the result dictionary if available - if isinstance(resultData, dict): - # First, create a mapping of expected output labels to their specs - expectedOutputs = {spec.get("label"): spec for spec in outputSpecs} - createdOutputs = set() - - for label, result_item in resultData.items(): - # Check if result follows the expected structure with nested content - if isinstance(result_item, dict) and "content" in result_item: - # Extract values from the properly structured result - content = result_item.get("content", "") # Extract the inner content - base64Encoded = result_item.get("base64Encoded", False) - contentType = result_item.get("contentType", "text/plain") - - # Check if this label matches one of our expected output documents - # If not, but we haven't created all expected outputs yet, try to map it - finalLabel = label - if label not in expectedOutputs and len(expectedOutputs) > 0: - # Find an unused expected output label - for expectedLabel in expectedOutputs: - if expectedLabel not in createdOutputs: - logger.warning(f"Remapping output '{label}' to expected '{expectedLabel}'") - finalLabel = expectedLabel - break - - # Create document by passing only the content to formatAgentDocumentOutput - doc = self.formatAgentDocumentOutput(finalLabel, content, contentType) - - # Override the base64Encoded flag with the value from the result - # This is needed since formatAgentDocumentOutput might determine a different value - if isinstance(base64Encoded, bool): - doc["base64Encoded"] = base64Encoded - - documents.append(doc) - createdOutputs.add(finalLabel) - logger.info(f"Created document from result: {finalLabel} ({contentType}, base64={base64Encoded})") - else: - # Not properly structured - log warning - logger.warning(f"Skipping improperly formatted result for '{label}'. Results must include 'content' field.") - else: - # No result dictionary found - logger.warning("No valid result dictionary found or it's not properly formatted") - - # If no valid documents were created from the result dictionary but we have output specifications - if len(documents) <= 2 and outputSpecs: # Only code.py and history.json exist - logger.warning("No valid documents created from result dictionary, using execution output for specifications") - # Default to execution output - output = executionResult.get("output", "") - for spec in outputSpecs: - label = spec.get("label", "output.txt") - # Create basic document from output - doc = self.formatAgentDocumentOutput(label, output, "text/plain") - documents.append(doc) - logger.info(f"Created document from output specification: {label}") - - if retryCount > 0: - feedback = f"Code executed successfully after {retryCount + 1} attempts. Generated {len(documents) - 2} output files." - else: - feedback = f"Code executed successfully. Generated {len(documents) - 2} output files." - else: - # Execution failed - error = executionResult.get("error", "Unknown error") - documents.append(self.formatAgentDocumentOutput("execution_error.txt", f"Error executing code:\n\n{error}", "text/plain")) - if retryCount > 0: - feedback = f"Error during code execution after {retryCount + 1} attempts: {error}" - else: - feedback = f"Error during code execution: {error}" - - return { - "feedback": feedback, - "documents": documents - } - - async def _improveCode(self, originalCode: str, error: str, executionResult: Dict[str, Any], attempt: int, outputSpecs: List[Dict[str, Any]] = None) -> Tuple[str, List[str]]: - """ - Improve code based on execution error. - Enhanced to maintain proper output handling with correct document structure. - - Args: - originalCode: The code that failed to execute - error: The error message - executionResult: Complete execution result dictionary - attempt: Current attempt number - outputSpecs: List of expected output specifications - - Returns: - Tuple of (improvedCode, requirements) - """ - # Create a string with output specifications to be included in the prompt - outputSpecsStr = "" - if outputSpecs: - outputSpecsStr = "\nEXPECTED OUTPUT DOCUMENTS:\n" - for i, spec in enumerate(outputSpecs, 1): - label = spec.get("label", f"output{i}.txt") - description = spec.get("description", "") - outputSpecsStr += f"{i}. {label} - {description}\n" - - # Create prompt for code improvement - improvementPrompt = f""" -Fix the following Python code that failed during execution. This is attempt {attempt} to fix the code. - -ORIGINAL CODE: -{originalCode} - -ERROR MESSAGE: -{error} - -STDOUT: -{executionResult.get('output', '')} -{outputSpecsStr} -INSTRUCTIONS: -1. Fix all errors identified in the error message -2. Diagnose and fix any logical issues -3. Pay special attention to: -- Type conversions and data handling -- Error handling and edge cases -- Resource management (file handles, etc.) -- Syntax errors and typos -4. Keep the inputFiles handling logic intact -5. Maintain the same overall structure and purpose - -OUTPUT REQUIREMENTS (VERY IMPORTANT): -- Your code MUST define a 'result' variable as a dictionary to store ALL outputs -- The key for each entry MUST be the full filename with extension (e.g., "output.txt") -- The value for each entry MUST be a dictionary with the following structure: -{{ - "content": string, # The actual content (text or base64-encoded string) - "base64Encoded": boolean, # Set to true for binary data, false for text data - "contentType": string # MIME type of the content (e.g., "text/plain", "application/json") -}} -- Example result dictionary: -result = {{ - "output.txt": {{ - "content": "This is text content", - "base64Encoded": False, - "contentType": "text/plain" - }}, - "chart.png": {{ - "content": "base64encodedstring...", - "base64Encoded": True, - "contentType": "image/png" - }} -}} -- NEVER write files to disk using open() or similar methods - use the result dictionary instead - -JSON OUTPUT (CRITICAL): -- After creating the result dictionary, you MUST print it as JSON to stdout -- Make sure your code includes: print(json.dumps(result)) as the final line -- This printed JSON is how the system captures your result - -REQUIREMENTS: -Required packages should be specified as: -# REQUIREMENTS: library==version,library2>=version -- You may add/remove requirements as needed to fix the code - -Return ONLY Python code without explanations or markdown. -""" - - # Call AI service - messages = [ - {"role": "system", "content": "You are an expert Python code debugger. Provide only fixed Python code without explanations or formatting. Ensure all generated files are included in the 'result' dictionary and that result is printed as JSON with print(json.dumps(result))."}, - {"role": "user", "content": improvementPrompt} - ] - - try: - improvedContent = await self.mydom.callAi(messages, temperature=0.2) - - # Extract code and requirements - improvedCode = self._cleanCode(improvedContent) - - # Extract requirements - requirements = [] - for line in improvedCode.split('\n'): - if line.strip().startswith("# REQUIREMENTS:"): - reqStr = line.replace("# REQUIREMENTS:", "").strip() - requirements = [r.strip() for r in reqStr.split(',') if r.strip()] - break - - return improvedCode, requirements - except Exception as e: - logger.error(f"Error improving code: {str(e)}") - return None, [] - - - async def _checkQuickCompletion(self, prompt: str, contentExtraction: List[Dict], outputSpecs: List[Dict]) -> Dict: - """ - Check if the task can be completed without writing and executing code. - - Args: - prompt: The task prompt - contentExtraction: List of extracted content data with contentName and dataExtracted - outputSpecs: List of output specifications - - Returns: - Dictionary with completion status and results, or None if no quick completion - """ - # If no data or no output specs, can't do a quick completion - if not contentExtraction or not outputSpecs: - return None - - # Create a prompt for the AI to check if this can be completed directly - specsJson = json.dumps(outputSpecs) - dataJson = json.dumps(contentExtraction) - - checkPrompt = f""" -Analyze this task and determine if it can be completed directly without writing code. - -TASK: -{prompt} - -EXTRACTED DATA AVAILABLE: -{dataJson} - -Each entry in the extracted data contains: -- filename: The source file name -- contentName: The specific content section name -- contentData: The AI-extracted text from the content -- contentType: The type of content (text, csv, etc.) -- summary: A brief summary of the content - -REQUIRED OUTPUT: -{specsJson} - -If the task can be completed directly with the available extracted data, respond with: -{{"complete": 1, "prompt": "Brief explanation of the solution", "documents": [ - {{"label": "filename.ext", "content": "content here"}} -]}} - -If code would be needed to properly complete this task, respond with: -{{"complete": 0, "prompt": "Explanation why code is needed"}} - -Only return valid JSON. Your entire response must be parseable as JSON. -""" - - # Call AI service - logger.debug(f"Checking if task can be completed without code execution: {checkPrompt}") - messages = [ - {"role": "system", "content": "You are an AI assistant that determines if tasks require code execution. Reply with JSON only."}, - {"role": "user", "content": checkPrompt} - ] - - try: - # Use a lower temperature for more deterministic response - response = await self.mydom.callAi(messages, produceUserAnswer = True, temperature=0.1) - - # Parse response as JSON - if response: - try: - # Find JSON in response if there's any text around it - jsonStart = response.find('{') - jsonEnd = response.rfind('}') + 1 - - if jsonStart >= 0 and jsonEnd > jsonStart: - jsonStr = response[jsonStart:jsonEnd] - result = json.loads(jsonStr) - - # Check if this is a proper response - if "complete" in result: - return result - - except json.JSONDecodeError: - logger.debug("Failed to parse quick completion response as JSON") - pass - except Exception as e: - logger.debug(f"Error during quick completion check: {str(e)}") - - # Default to requiring code execution - return None - - async def _generateCode(self, prompt: str, outputSpecs: List[Dict[str, Any]] = None) -> Tuple[str, List[str]]: - """ - Generate Python code from a prompt with the inputFiles placeholder. - Enhanced to emphasize proper result output handling with correct document structure. - - Args: - prompt: The task prompt - outputSpecs: List of expected output specifications - - Returns: - Tuple of (code, requirements) - """ - # Create a string with output specifications to be included in the prompt - outputSpecsStr = "" - if outputSpecs: - outputSpecsStr = "\nEXPECTED OUTPUT DOCUMENTS:\n" - for i, spec in enumerate(outputSpecs, 1): - label = spec.get("label", f"output{i}.txt") - description = spec.get("description", "") - outputSpecsStr += f"{i}. {label} - {description}\n" - - # Create improved prompt for code generation - aiPrompt = f""" -Generate Python code to solve the following task: - -TASK: -{prompt} -{outputSpecsStr} -INPUT FILES: -- 'inputFiles' variable is provided as [[filename, data, isBase64], ...] -- For text files (isBase64=False): use data directly as string -- For binary files (isBase64=True): use base64.b64decode(data) - -OUTPUT REQUIREMENTS (VERY IMPORTANT): -- Your code MUST define a 'result' variable as a dictionary to store ALL outputs -- The key for each entry MUST be the full filename with extension (e.g., "output.txt") -- The value for each entry MUST be a dictionary with the following structure: -{{ - "content": string, # The actual content (text or base64-encoded string) - "base64Encoded": boolean, # Set to true for binary data, false for text data - "contentType": string # MIME type of the content (e.g., "text/plain", "application/json") -}} -- Example result dictionary: -result = {{ - "output.txt": {{ - "content": "This is text content", - "base64Encoded": False, - "contentType": "text/plain" - }}, - "chart.png": {{ - "content": "base64encodedstring...", - "base64Encoded": True, - "contentType": "image/png" - }} -}} -- NEVER write files to disk using open() or similar methods - use the result dictionary instead -- If you generate any charts, reports, or visualizations, ensure they are properly encoded and included - -IMPORTANT - USE EXACT OUTPUT FILENAMES: -- You MUST use the EXACT filenames specified in EXPECTED OUTPUT DOCUMENTS section -- The key in the result dictionary must match these filenames precisely -- If no output documents are specified, use appropriate descriptive filenames - -JSON OUTPUT (CRITICAL): -- After creating the result dictionary, you MUST print it as JSON to stdout using json.dumps() -- Add these lines at the end of your code: - import json # if not already imported - print(json.dumps(result)) -- This printed JSON is how the system captures your result -- Make sure this is the last thing your code prints - -BINARY DATA HANDLING: -- For binary content (images, PDFs, etc.), convert to base64 string and set base64Encoded=True -- For text content (text, JSON, HTML, etc.), use plain string and set base64Encoded=False -- Use appropriate MIME types for different content types - -CODE QUALITY: -- Use explicit type conversions where needed (int/float/str) -- Implement feature detection, not version checks -- Handle errors gracefully with appropriate fallbacks -- Follow latest API conventions for libraries -- Validate inputs before processing - -Your code must start with: -inputFiles = "=== JSONLOAD ===" # DO NOT CHANGE THIS LINE - -REQUIREMENTS: -Required packages should be specified as: -# REQUIREMENTS: library==version,library2>=version -- Specify exact versions for critical libraries -- Use constraint operators (==,>=,<=) as needed - -Return ONLY Python code without explanations or markdown. -""" - - # Call AI service - messages = [ - {"role": "system", "content": "You are a Python code generator. Provide only valid Python code without explanations or formatting. Always output the result dictionary as JSON using print(json.dumps(result)) at the end of your code."}, - {"role": "user", "content": aiPrompt} - ] - - generatedContent = await self.mydom.callAi(messages, temperature=0.1) - - # Extract code and requirements - code = self._cleanCode(generatedContent) - - # Extract requirements - requirements = [] - for line in code.split('\n'): - if line.strip().startswith("# REQUIREMENTS:"): - reqStr = line.replace("# REQUIREMENTS:", "").strip() - requirements = [r.strip() for r in reqStr.split(',') if r.strip()] - break - - return code, requirements - - def _executeCode(self, code: str, requirements: List[str] = None) -> Dict[str, Any]: - """ - Execute Python code in a virtual environment. - Integrated executor functionality with enhanced result extraction. - - Args: - code: Python code to execute - requirements: List of required packages - - Returns: - Execution result dictionary - """ - try: - # 1. Create temp directory and virtual environment - self.tempDir = tempfile.mkdtemp(prefix="code_exec_") - venvPath = os.path.join(self.tempDir, "venv") - - # Create venv - logger.debug(f"Creating virtual environment at {venvPath}") - subprocess.run([sys.executable, "-m", "venv", venvPath], - check=True, capture_output=True) - - # Get Python executable path - pythonExe = os.path.join(venvPath, "Scripts", "python.exe") if os.name == 'nt' else os.path.join(venvPath, "bin", "python") - - # 2. Install requirements if provided - if requirements: - logger.info(f"Installing requirements: {requirements}") - - # Create requirements.txt - reqFile = os.path.join(self.tempDir, "requirements.txt") - with open(reqFile, "w") as f: - f.write("\n".join(requirements)) - - x="\n".join(requirements) - logger.info(f"Requirements file: {x}.") - - # Install requirements - try: - pipResult = subprocess.run( - [pythonExe, "-m", "pip", "install", "-r", reqFile], - capture_output=True, - text=True, - timeout=int(APP_CONFIG.get("Agent_Coder_INSTALL_TIMEOUT")) - ) - if pipResult.returncode != 0: - logger.debug(f"Error installing requirements: {pipResult.stderr}") - else: - logger.debug(f"Requirements installed successfully") - # Log installed packages if in debug mode - if logger.isEnabledFor(logging.DEBUG): - pipList = subprocess.run( - [pythonExe, "-m", "pip", "list"], - capture_output=True, - text=True - ) - logger.debug(f"Installed packages:\n{pipList.stdout}") - - except Exception as e: - logger.debug(f"Exception during requirements installation: {str(e)}") - - # 3. Write code to file - codeFile = os.path.join(self.tempDir, "code.py") - with open(codeFile, "w", encoding="utf-8") as f: - f.write(code) - - # 4. Execute code - logger.debug(f"Executing code with timeout of {self.executorTimeout} seconds. Code: {code}") - process = subprocess.run( - [pythonExe, codeFile], - timeout=self.executorTimeout, - capture_output=True, - text=True - ) - - # 5. Process results - stdout = process.stdout - stderr = process.stderr - - # Try to extract result from stdout - resultData = None - if process.returncode == 0: - try: - # Find the last line that might be JSON - jsonLines = [] - for line in stdout.strip().split('\n'): - line = line.strip() - if line and line[0] in '{[' and line[-1] in '}]': - try: - parsed = json.loads(line) - jsonLines.append((line, parsed)) - except json.JSONDecodeError: - continue - - # Use the last valid JSON that appears to be a dictionary - if jsonLines: - for line, parsed in reversed(jsonLines): - if isinstance(parsed, dict): - resultData = parsed - logger.debug(f"Extracted result data from stdout: {type(resultData)}") - break - except Exception as e: - logger.debug(f"Error extracting result from stdout: {str(e)}") - - # Enhanced logging of what was found - if resultData: - logger.info(f"Found result dictionary with {len(resultData)} entries: {list(resultData.keys())}") - else: - logger.warning("No result dictionary found in output") - - # Create result dictionary - return { - "success": process.returncode == 0, - "output": stdout, - "error": stderr if process.returncode != 0 else "", - "result": resultData, - "exitCode": process.returncode - } - - except subprocess.TimeoutExpired: - logger.error(f"Execution timed out after {self.executorTimeout} seconds") - return { - "success": False, - "output": "", - "error": f"Execution timed out after {self.executorTimeout} seconds", - "result": None, - "exitCode": -1 - } - except Exception as e: - logger.error(f"Execution error: {str(e)}") - return { - "success": False, - "output": "", - "error": f"Execution error: {str(e)}", - "result": None, - "exitCode": -1 - } - finally: - # Clean up resources - self._cleanupExecution() - - def _cleanupExecution(self): - """Clean up temporary resources from code execution.""" - if self.tempDir and os.path.exists(self.tempDir): - try: - logger.debug(f"Cleaning up temporary directory: {self.tempDir}") - shutil.rmtree(self.tempDir) - self.tempDir = None - except Exception as e: - logger.warning(f"Error cleaning up temp directory: {str(e)}") - - def _cleanCode(self, code: str) -> str: - """Remove any markdown formatting or explanations.""" - # Remove code block markers - code = code.replace("```python", "").replace("```", "") - - # Remove explanations before or after code - lines = code.strip().split('\n') - startIndex = 0 - endIndex = len(lines) - - # Find start of actual code - for i, line in enumerate(lines): - if line.strip().startswith("inputFiles =") or line.strip().startswith("# REQUIREMENTS:"): - startIndex = i - break - - # Clean code - cleanedCode = '\n'.join(lines[startIndex:endIndex]) - return cleanedCode.strip() - - -# Factory function for the Coder agent -def getAgentCoder(): - """Returns an instance of the Coder agent.""" - return AgentCoder() \ No newline at end of file diff --git a/static/120_agentDocumentation.py b/static/120_agentDocumentation.py deleted file mode 100644 index daae8a97..00000000 --- a/static/120_agentDocumentation.py +++ /dev/null @@ -1,559 +0,0 @@ -""" -Documentation agent for creating documentation, reports, and structured content. -Reimagined with an output-first, AI-driven approach with multi-step document generation. -""" - -import logging -import json -from typing import Dict, Any, List - -from modules.workflowAgentsRegistry import AgentBase - -logger = logging.getLogger(__name__) - -class AgentDocumentation(AgentBase): - """AI-driven agent for creating documentation and structured content using multi-step generation""" - - def __init__(self): - """Initialize the documentation agent""" - super().__init__() - self.name = "documentation" - self.description = "Creates structured documentation, reports, and content using AI with multi-step generation" - self.capabilities = [ - "report_generation", - "documentation", - "content_structuring", - "technical_writing", - "knowledge_organization" - ] - - def setDependencies(self, mydom=None): - """Set external dependencies for the agent.""" - self.mydom = mydom - - async def processTask(self, task: Dict[str, Any]) -> Dict[str, Any]: - """ - Process a task by focusing on required outputs and using AI to generate them. - - Args: - task: Task dictionary with prompt, inputDocuments, outputSpecifications - - Returns: - Dictionary with feedback and documents - """ - try: - # Extract task information - prompt = task.get("prompt", "") - inputDocuments = task.get("inputDocuments", []) - outputSpecs = task.get("outputSpecifications", []) - - # Check AI service - if not self.mydom: - return { - "feedback": "The Documentation agent requires an AI service to function.", - "documents": [] - } - - # Extract context from input documents - focusing only on dataExtracted - documentContext = self._extractDocumentContext(inputDocuments) - - # Create task analysis to understand the requirements - documentationPlan = await self._analyzeTask(prompt, documentContext, outputSpecs) - - # Generate all required output documents - documents = [] - - # If no output specs provided, create default document - if not outputSpecs: - defaultFormat = documentationPlan.get("recommendedFormat", "markdown") - defaultTitle = documentationPlan.get("title", "Documentation") - safeTitle = self._sanitizeFilename(defaultTitle) - - outputSpecs = [ - {"label": f"{safeTitle}.{defaultFormat}", "description": "Comprehensive documentation"} - ] - - # Process each output specification - for spec in outputSpecs: - outputLabel = spec.get("label", "") - outputDescription = spec.get("description", "") - - # Generate the document using multi-step approach - document = await self._createDocumentMultiStep( - prompt, - documentContext, - outputLabel, - outputDescription, - documentationPlan - ) - - documents.append(document) - - # Generate feedback - feedback = documentationPlan.get("feedback", f"Created {len(documents)} documents based on your requirements.") - - return { - "feedback": feedback, - "documents": documents - } - - except Exception as e: - logger.error(f"Error in documentation generation: {str(e)}", exc_info=True) - return { - "feedback": f"Error during documentation generation: {str(e)}", - "documents": [] - } - - def _extractDocumentContext(self, documents: List[Dict[str, Any]]) -> str: - """ - Extract context from input documents, focusing on dataExtracted. - - Args: - documents: List of document objects - - Returns: - Extracted context as text - """ - contextParts = [] - - for doc in documents: - docName = doc.get("name", "unnamed") - if doc.get("ext"): - docName = f"{docName}.{doc.get('ext')}" - - contextParts.append(f"\n\n--- {docName} ---\n") - - # Process contents for dataExtracted - for content in doc.get("contents", []): - if content.get("dataExtracted"): - contextParts.append(content.get("dataExtracted", "")) - - return "\n".join(contextParts) - - def _sanitizeFilename(self, filename: str) -> str: - """ - Sanitize a filename by removing invalid characters. - - Args: - filename: Filename to sanitize - - Returns: - Sanitized filename - """ - # Replace invalid characters with underscores - invalidChars = r'<>:"/\|?*' - for char in invalidChars: - filename = filename.replace(char, '_') - - # Trim filename if too long - if len(filename) > 100: - filename = filename[:97] + "..." - - return filename - - async def _analyzeTask(self, prompt: str, context: str, outputSpecs: List) -> Dict: - """ - Use AI to analyze the task and create a documentation plan. - - Args: - prompt: The task prompt - context: Document context - outputSpecs: Output specifications - - Returns: - Documentation plan dictionary - """ - analysisPrompt = f""" - Analyze this documentation task and create a detailed plan. - - TASK: {prompt} - - DOCUMENT CONTEXT SAMPLE: - {context[:1000]}... (truncated) - - OUTPUT REQUIREMENTS: - {json.dumps(outputSpecs, indent=2)} - - Create a detailed documentation plan in JSON format with the following structure: - {{ - "title": "Document Title", - "documentType": "report|manual|guide|whitepaper|etc", - "audience": "technical|general|executive|etc", - "detailedStructure": [ - {{ - "title": "Chapter/Section Title", - "keyPoints": ["point1", "point2", ...], - "subsections": ["subsection1", "subsection2", ...], - "importance": "high|medium|low", - "estimatedLength": "short|medium|long" - }}, - ... more sections ... - ], - "keyTopics": ["topic1", "topic2", ...], - "tone": "formal|conversational|instructional|etc", - "recommendedFormat": "markdown|html|text|etc", - "formattingRequirements": ["requirement1", "requirement2", ...], - "executiveSummary": "Brief description of what the document will cover", - "feedback": "Brief message explaining the documentation approach" - }} - - Only return valid JSON. No preamble or explanations. - """ - - try: - response = await self.mydom.callAi([ - {"role": "system", "content": "You are a documentation expert. Respond with valid JSON only."}, - {"role": "user", "content": analysisPrompt} - ]) - - # Extract JSON from response - jsonStart = response.find('{') - jsonEnd = response.rfind('}') + 1 - - if jsonStart >= 0 and jsonEnd > jsonStart: - plan = json.loads(response[jsonStart:jsonEnd]) - return plan - else: - # Fallback if JSON not found - return { - "title": "Documentation", - "documentType": "report", - "audience": "general", - "detailedStructure": [ - { - "title": "Introduction", - "keyPoints": ["Purpose", "Scope"], - "subsections": [], - "importance": "high", - "estimatedLength": "short" - }, - { - "title": "Main Content", - "keyPoints": ["Core Information"], - "subsections": ["Key Findings", "Analysis"], - "importance": "high", - "estimatedLength": "long" - }, - { - "title": "Conclusion", - "keyPoints": ["Summary", "Next Steps"], - "subsections": [], - "importance": "medium", - "estimatedLength": "short" - } - ], - "keyTopics": ["General Information"], - "tone": "formal", - "recommendedFormat": "markdown", - "formattingRequirements": ["Clear headings", "Professional formatting"], - "executiveSummary": "A comprehensive documentation covering the requested topics.", - "feedback": "Created documentation based on your requirements." - } - - except Exception as e: - logger.warning(f"Error creating documentation plan: {str(e)}") - return { - "title": "Documentation", - "documentType": "report", - "audience": "general", - "detailedStructure": [ - { - "title": "Introduction", - "keyPoints": ["Purpose", "Scope"], - "subsections": [], - "importance": "high", - "estimatedLength": "short" - }, - { - "title": "Main Content", - "keyPoints": ["Core Information"], - "subsections": ["Key Findings", "Analysis"], - "importance": "high", - "estimatedLength": "long" - }, - { - "title": "Conclusion", - "keyPoints": ["Summary", "Next Steps"], - "subsections": [], - "importance": "medium", - "estimatedLength": "short" - } - ], - "keyTopics": ["General Information"], - "tone": "formal", - "recommendedFormat": "markdown", - "formattingRequirements": ["Clear headings", "Professional formatting"], - "executiveSummary": "A comprehensive documentation covering the requested topics.", - "feedback": "Created documentation based on your requirements." - } - - async def _createDocumentMultiStep(self, prompt: str, context: str, outputLabel: str, - outputDescription: str, documentationPlan: Dict) -> Dict: - """ - Create a document using a multi-step approach with separate AI calls for each section. - - Args: - prompt: Original task prompt - context: Document context - outputLabel: Output filename - outputDescription: Description of desired output - documentationPlan: Documentation plan from AI - - Returns: - Document object - """ - # Determine format from filename - formatType = outputLabel.split('.')[-1].lower() if '.' in outputLabel else "md" - - # Map format to contentType - contentTypeMap = { - "md": "text/markdown", - "markdown": "text/markdown", - "html": "text/html", - "txt": "text/plain", - "text": "text/plain", - "json": "application/json", - "csv": "text/csv" - } - - contentType = contentTypeMap.get(formatType, "text/plain") - - # Get document information - title = documentationPlan.get("title", "Documentation") - documentType = documentationPlan.get("documentType", "document") - audience = documentationPlan.get("audience", "general") - tone = documentationPlan.get("tone", "formal") - keyTopics = documentationPlan.get("keyTopics", []) - formattingRequirements = documentationPlan.get("formattingRequirements", []) - - # Get the detailed structure - detailedStructure = documentationPlan.get("detailedStructure", []) - if not detailedStructure: - # Fallback structure if none provided - detailedStructure = [ - { - "title": "Introduction", - "keyPoints": ["Purpose", "Scope"], - "importance": "high" - }, - { - "title": "Main Content", - "keyPoints": ["Core Information"], - "importance": "high" - }, - { - "title": "Conclusion", - "keyPoints": ["Summary", "Next Steps"], - "importance": "medium" - } - ] - - try: - # Step 1: Generate document introduction - introPrompt = f""" - Create the introduction for a {documentType} titled "{title}". - - DOCUMENT OVERVIEW: - - Type: {documentType} - - Audience: {audience} - - Tone: {tone} - - Key Topics: {', '.join(keyTopics)} - - Format: {formatType} - - TASK CONTEXT: {prompt} - - This introduction should: - 1. Clearly state the purpose and scope of the document - 2. Provide context and background information - 3. Outline what the reader will find in the document - 4. Set the appropriate tone for the {audience} audience - - The introduction should be professional and engaging, formatted according to {formatType} standards. - """ - - introduction = await self.mydom.callAi([ - {"role": "system", "content": f"You are a documentation expert creating an introduction in {formatType} format."}, - {"role": "user", "content": introPrompt} - ], produceUserAnswer = True) - - # Step 2: Generate executive summary (if applicable) - if documentType in ["report", "whitepaper", "case study"]: - summaryPrompt = f""" - Create an executive summary for a {documentType} titled "{title}". - - DOCUMENT OVERVIEW: - - Type: {documentType} - - Audience: {audience} - - Key Topics: {', '.join(keyTopics)} - - TASK CONTEXT: {prompt} - - This executive summary should: - 1. Provide a concise overview of the entire document - 2. Highlight key findings, recommendations, or conclusions - 3. Be suitable for executives or busy readers who may only read this section - 4. Be professionally formatted according to {formatType} standards - - Keep the summary focused and impactful, approximately 200-300 words. - """ - - executiveSummary = await self.mydom.callAi([ - {"role": "system", "content": f"You are a documentation expert creating an executive summary in {formatType} format."}, - {"role": "user", "content": summaryPrompt} - ], produceUserAnswer = True) - else: - executiveSummary = "" - - # Step 3: Generate each section - sections = [] - - for section in detailedStructure: - sectionTitle = section.get("title", "Section") - keyPoints = section.get("keyPoints", []) - subsections = section.get("subsections", []) - importance = section.get("importance", "medium") - - # Adjust depth based on importance - detailLevel = "high" if importance == "high" else "medium" - - sectionPrompt = f""" - Create the "{sectionTitle}" section for a {documentType} titled "{title}". - - SECTION DETAILS: - - Title: {sectionTitle} - - Key Points to Cover: {', '.join(keyPoints)} - - Subsections: {', '.join(subsections)} - - Detail Level: {detailLevel} - - DOCUMENT CONTEXT: - - Type: {documentType} - - Audience: {audience} - - Tone: {tone} - - Format: {formatType} - - TASK CONTEXT: {prompt} - - AVAILABLE INFORMATION: - {context[:500]}... (truncated) - - This section should: - 1. Be comprehensive and well-structured - 2. Cover all the key points listed - 3. Include the specified subsections with appropriate headings - 4. Maintain a {tone} tone suitable for the {audience} audience - 5. Be properly formatted according to {formatType} standards - 6. Include specific examples, data, or evidence where appropriate - - Be thorough in your coverage of this section, providing substantive content. - """ - - sectionContent = await self.mydom.callAi([ - {"role": "system", "content": f"You are a documentation expert creating detailed content for the {sectionTitle} section."}, - {"role": "user", "content": sectionPrompt} - ], produceUserAnswer = True) - - sections.append(sectionContent) - - # Step 4: Generate conclusion - conclusionPrompt = f""" - Create the conclusion for a {documentType} titled "{title}". - - DOCUMENT OVERVIEW: - - Type: {documentType} - - Audience: {audience} - - Key Topics: {', '.join(keyTopics)} - - TASK CONTEXT: {prompt} - - This conclusion should: - 1. Summarize the key points covered in the document - 2. Provide closure to the topics discussed - 3. Include any relevant recommendations or next steps - 4. Leave the reader with a clear understanding of the document's significance - - The conclusion should be professional and impactful, formatted according to {formatType} standards. - """ - - conclusion = await self.mydom.callAi([ - {"role": "system", "content": f"You are a documentation expert creating a conclusion in {formatType} format."}, - {"role": "user", "content": conclusionPrompt} - ], produceUserAnswer = True) - - # Step 5: Assemble the complete document - if formatType in ["md", "markdown"]: - # Markdown format - documentContent = f"# {title}\n\n" - - if executiveSummary: - documentContent += f"## Executive Summary\n\n{executiveSummary}\n\n" - - documentContent += f"{introduction}\n\n" - - for i, sectionContent in enumerate(sections): - # Ensure section starts with heading if not already - sectionTitle = detailedStructure[i].get("title", f"Section {i+1}") - if not sectionContent.strip().startswith("#"): - documentContent += f"## {sectionTitle}\n\n" - documentContent += f"{sectionContent}\n\n" - - documentContent += f"## Conclusion\n\n{conclusion}\n" - - elif formatType == "html": - # HTML format - documentContent = f"\n\n{title}\n\n\n" - documentContent += f"

{title}

\n\n" - - if executiveSummary: - documentContent += f"

Executive Summary

\n
{executiveSummary}
\n\n" - - documentContent += f"
{introduction}
\n\n" - - for i, sectionContent in enumerate(sections): - sectionTitle = detailedStructure[i].get("title", f"Section {i+1}") - documentContent += f"

{sectionTitle}

\n
{sectionContent}
\n\n" - - documentContent += f"

Conclusion

\n
{conclusion}
\n" - documentContent += "\n" - - else: - # Plain text format - documentContent = f"{title}\n{'=' * len(title)}\n\n" - - if executiveSummary: - documentContent += f"EXECUTIVE SUMMARY\n{'-' * 17}\n\n{executiveSummary}\n\n" - - documentContent += f"{introduction}\n\n" - - for i, sectionContent in enumerate(sections): - sectionTitle = detailedStructure[i].get("title", f"Section {i+1}") - documentContent += f"{sectionTitle}\n{'-' * len(sectionTitle)}\n\n{sectionContent}\n\n" - - documentContent += f"CONCLUSION\n{'-' * 10}\n\n{conclusion}\n" - - # Create document object - return self.formatAgentDocumentOutput(outputLabel, documentContent, contentType) - - except Exception as e: - logger.error(f"Error creating document: {str(e)}", exc_info=True) - - # Create a simple error document - if formatType in ["md", "markdown"]: - content = f"# Error in Documentation\n\nThere was an error generating the documentation: {str(e)}" - elif formatType == "html": - content = f"

Error in Documentation

There was an error generating the documentation: {str(e)}

" - else: - content = f"Error in Documentation\n\nThere was an error generating the documentation: {str(e)}" - - return { - "label": outputLabel, - "content": content, - "metadata": { - "contentType": contentType - } - } - - -# Factory function for the Documentation agent -def getAgentDocumentation(): - """Returns an instance of the Documentation agent.""" - return AgentDocumentation() \ No newline at end of file diff --git a/static/121_auth.py b/static/121_auth.py deleted file mode 100644 index 6fdf7e2f..00000000 --- a/static/121_auth.py +++ /dev/null @@ -1,158 +0,0 @@ -""" -Authentication module for backend API. -Handles JWT-based authentication, token generation, and user context. -""" - -from datetime import datetime, timedelta, timezone -from typing import Optional, Dict, Any, Tuple -from fastapi import Depends, HTTPException, status -from fastapi.security import OAuth2PasswordBearer -from jose import JWTError, jwt -import logging - -from modules.gatewayInterface import getGatewayInterface -from modules.configuration import APP_CONFIG - -# Get Config Data -SECRET_KEY = APP_CONFIG.get("APP_JWT_SECRET_SECRET") -ALGORITHM = APP_CONFIG.get("Auth_ALGORITHM") -ACCESS_TOKEN_EXPIRE_MINUTES = int(APP_CONFIG.get("APP_TOKEN_EXPIRY")) - -# OAuth2 Setup -oauth2Scheme = OAuth2PasswordBearer(tokenUrl="token") - -# Logger -logger = logging.getLogger(__name__) - -def createAccessToken(data: dict, expiresDelta: Optional[timedelta] = None) -> str: - """ - Creates a JWT Access Token. - - Args: - data: Data to encode (usually user ID or username) - expiresDelta: Validity duration of the token (optional) - - Returns: - JWT Token as string - """ - toEncode = data.copy() - - if expiresDelta: - expire = datetime.now(timezone.utc) + expiresDelta - else: - expire = datetime.now(timezone.utc) + timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES) - - toEncode.update({"exp": expire}) - encodedJwt = jwt.encode(toEncode, SECRET_KEY, algorithm=ALGORITHM) - - return encodedJwt - -async def getCurrentUser(token: str = Depends(oauth2Scheme)) -> Dict[str, Any]: - """ - Extracts and validates the current user from the JWT token. - - Args: - token: JWT Token from the Authorization header - - Returns: - User data - - Raises: - HTTPException: For invalid token or user - """ - credentialsException = HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Invalid authentication credentials", - headers={"WWW-Authenticate": "Bearer"}, - ) - - try: - # Decode token - payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) - - # Extract username from token - username: str = payload.get("sub") - if username is None: - raise credentialsException - - # Extract mandate ID from token (if present) - mandateId: int = payload.get("mandateId", 1) # Default: Root mandate - - except JWTError: - logger.warning("Invalid JWT Token") - raise credentialsException - - # Initialize Gateway Interface without context - gateway = getGatewayInterface() - - # Retrieve user from database - user = gateway.getUserByUsername(username) - - if user is None: - logger.warning(f"User {username} not found") - raise credentialsException - - if user.get("disabled", False): - logger.warning(f"User {username} is disabled") - raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="User is disabled") - - return user - -async def getCurrentActiveUser(currentUser: Dict[str, Any] = Depends(getCurrentUser)) -> Dict[str, Any]: - """ - Ensures that the user is active. - - Args: - currentUser: Current user data - - Returns: - User data - - Raises: - HTTPException: If the user is disabled - """ - if currentUser.get("disabled", False): - raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="User is disabled") - - return currentUser - -async def getUserContext(currentUser: Dict[str, Any]) -> Tuple[int, int]: - """ - Extracts the mandate ID and user ID from the current user. - Enhanced with better logging. - - Args: - currentUser: The current user - - Returns: - Tuple of (mandateId, userId) - """ - # Default values - defaultMandateId = 0 - defaultUserId = 0 - - # Extract mandateId - mandateId = currentUser.get("mandateId", None) - if mandateId is None: - logger.warning(f"No mandateId found in currentUser, using default: {defaultMandateId}") - mandateId = defaultMandateId - else: - try: - mandateId = int(mandateId) - except (ValueError, TypeError): - logger.error(f"Invalid mandateId value: {mandateId}, using default: {defaultMandateId}") - mandateId = defaultMandateId - - # Extract userId - userId = currentUser.get("id", None) - if userId is None: - logger.warning(f"No userId found in currentUser, using default: {defaultUserId}") - userId = defaultUserId - else: - try: - userId = int(userId) - except (ValueError, TypeError): - logger.error(f"Invalid userId value: {userId}, using default: {defaultUserId}") - userId = defaultUserId - - return mandateId, userId \ No newline at end of file diff --git a/static/122_configuration.py b/static/122_configuration.py deleted file mode 100644 index f7e9b81f..00000000 --- a/static/122_configuration.py +++ /dev/null @@ -1,183 +0,0 @@ -""" -Utility module for configuration management. - -This module provides a global APP_CONFIG object for accessing configuration from both -config.ini files and environment variables stored in .env files, using a flat structure. -""" - -import os -import logging -from typing import Any, Dict, Optional -from pathlib import Path - -# Set up logging -logger = logging.getLogger(__name__) - -class Configuration: - """ - Configuration class with attribute-style access to flattened configuration. - """ - def __init__(self): - """Initialize the configuration object""" - self._data = {} - self._configFilePath = None - self._envFilePath = None - self._configMtime = 0 - self._envMtime = 0 - self.refresh() - - def refresh(self): - """Reload configuration from files""" - self._loadConfig() - self._loadEnv() - logger.info("Configuration refreshed") - - def _loadConfig(self): - """Load configuration from config.ini file in flattened format""" - # Find config.ini file (look in current directory and parent directory) - configPath = Path('config.ini') - if not configPath.exists(): - # Try in parent directory - configPath = Path('../config.ini') - if not configPath.exists(): - logger.warning(f"Configuration file not found at {configPath.absolute()}") - return - - self._configFilePath = configPath - currentMtime = os.path.getmtime(configPath) - - # Skip if file hasn't changed - if currentMtime <= self._configMtime: - return - - self._configMtime = currentMtime - - try: - with open(configPath, 'r') as f: - for line in f: - line = line.strip() - # Skip empty lines and comments - if not line or line.startswith('#'): - continue - - # Parse key-value pairs - if '=' in line: - key, value = line.split('=', 1) - key = key.strip() - value = value.strip() - - # Add directly to data dictionary - self._data[key] = value - - - except Exception as e: - logger.error(f"Error loading configuration: {e}") - - def _loadEnv(self): - """Load environment variables from .env file""" - # Find .env file (look in current directory and parent directory) - envPath = Path('.env') - if not envPath.exists(): - # Try in parent directory - envPath = Path('../.env') - if not envPath.exists(): - logger.warning(f"Environment file not found at {envPath.absolute()}") - return - - self._envFilePath = envPath - currentMtime = os.path.getmtime(envPath) - - # Skip if file hasn't changed - if currentMtime <= self._envMtime: - return - - self._envMtime = currentMtime - - try: - with open(envPath, 'r') as f: - for line in f: - line = line.strip() - # Skip empty lines and comments - if not line or line.startswith('#'): - continue - - # Parse key-value pairs - if '=' in line: - key, value = line.split('=', 1) - key = key.strip() - value = value.strip() - - # Add directly to data dictionary - self._data[key] = value - - logger.info(f"Loaded environment variables from {envPath.absolute()}") - - # Also load system environment variables (don't override existing) - for key, value in os.environ.items(): - if key not in self._data: - self._data[key] = value - - except Exception as e: - logger.error(f"Error loading environment variables: {e}") - - def checkForUpdates(self): - """Check if configuration files have changed and reload if necessary""" - if self._configFilePath and os.path.exists(self._configFilePath): - currentMtime = os.path.getmtime(self._configFilePath) - if currentMtime > self._configMtime: - logger.info("Config file has changed, reloading...") - self._loadConfig() - - if self._envFilePath and os.path.exists(self._envFilePath): - currentMtime = os.path.getmtime(self._envFilePath) - if currentMtime > self._envMtime: - logger.info("Environment file has changed, reloading...") - self._loadEnv() - - def get(self, key: str, default: Any = None) -> Any: - """Get configuration value with optional default""" - self.checkForUpdates() # Check for file changes - - if key in self._data: - value = self._data[key] - # Handle secrets (keys ending with _SECRET) - if key.endswith("_SECRET"): - return handleSecret(value) - return value - return default - - def __getattr__(self, name: str) -> Any: - """Enable attribute-style access to configuration""" - self.checkForUpdates() # Check for file changes - - value = self.get(name) - if value is None: - raise AttributeError(f"Configuration key '{name}' not found") - return value - - def __dir__(self) -> list: - """Support auto-completion of attributes""" - self.checkForUpdates() # Check for file changes - return list(self._data.keys()) + super().__dir__() - - def set(self, key: str, value: Any) -> None: - """Set a configuration value (for testing/overrides)""" - self._data[key] = value - -def handleSecret(value: str) -> str: - """ - Handle secret values. Currently just returns the plain text value, - but can be enhanced to provide actual decryption in the future. - - Args: - value: The secret value to handle - - Returns: - str: Processed secret value - """ - # For now, just return the value as-is - # In the future, this could be enhanced to decrypt values - return value - -# Create the global APP_CONFIG instance -APP_CONFIG = Configuration() \ No newline at end of file diff --git a/static/123_agentWebcrawler.py b/static/123_agentWebcrawler.py deleted file mode 100644 index 5cce8176..00000000 --- a/static/123_agentWebcrawler.py +++ /dev/null @@ -1,796 +0,0 @@ -""" -Webcrawler agent for research and retrieval of information from the web. -Reimagined with an output-first, AI-driven approach. -""" - -import logging -import json -import re -import time -from typing import Dict, Any, List -from urllib.parse import quote_plus, unquote - -from bs4 import BeautifulSoup -import requests -import markdown - -from modules.workflowAgentsRegistry import AgentBase -from modules.configuration import APP_CONFIG - -logger = logging.getLogger(__name__) - -class AgentWebcrawler(AgentBase): - """AI-driven agent for web research and information retrieval""" - - def __init__(self): - """Initialize the webcrawler agent""" - super().__init__() - self.name = "webcrawler" - self.description = "Conducts web research and collects information from online sources" - self.capabilities = [ - "webSearch", - "informationRetrieval", - "dataCollection", - "searchResultsAnalysis", - "webpageContentExtraction" - ] - - # Web crawling configuration - self.maxUrl = int(APP_CONFIG.get("Agent_Webcrawler_MAX_URLS", "5")) - self.maxSearchTerms = int(APP_CONFIG.get("Agent_Webcrawler_MAX_SEARCH_KEYWORDS", "3")) - self.maxResults = int(APP_CONFIG.get("Agent_Webcrawler_MAX_SEARCH_RESULTS", "5")) - self.timeout = int(APP_CONFIG.get("Agent_Webcrawler_TIMEOUT", "30")) - self.searchEngine = APP_CONFIG.get("Agent_Webcrawler_SEARCH_ENGINE", "https://html.duckduckgo.com/html/?q=") - self.userAgent = APP_CONFIG.get("Agent_Webcrawler_USER_AGENT", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36") - - def setDependencies(self, mydom=None): - """Set external dependencies for the agent.""" - self.mydom = mydom - - async def processTask(self, task: Dict[str, Any]) -> Dict[str, Any]: - """ - Process a task by focusing on required outputs and using AI to guide the research process. - - Args: - task: Task dictionary with prompt, inputDocuments, outputSpecifications - - Returns: - Dictionary with feedback and documents - """ - try: - # Extract task information - prompt = task.get("prompt", "") - outputSpecs = task.get("outputSpecifications", []) - - # Check AI service - if not self.mydom: - return { - "feedback": "The Webcrawler agent requires an AI service to function effectively.", - "documents": [] - } - - # Create research plan - researchPlan = await self._createResearchPlan(prompt) - - # Check if this is truly a web research task - if not researchPlan.get("requiresWebResearch", True): - return { - "feedback": "This task doesn't appear to require web research. Please try a different agent.", - "documents": [] - } - - # Gather raw material through web research - rawResults = await self._gatherResearchMaterial(researchPlan) - - # Format results into requested output documents - documents = await self._createOutputDocuments( - prompt, - rawResults, - outputSpecs, - researchPlan - ) - - # Generate feedback - feedback = researchPlan.get("feedback", f"I conducted web research on '{prompt[:50]}...' and gathered information from {len(rawResults)} relevant sources.") - - return { - "feedback": feedback, - "documents": documents - } - - except Exception as e: - logger.error(f"Error during web research: {str(e)}", exc_info=True) - return { - "feedback": f"Error during web research: {str(e)}", - "documents": [] - } - - async def _createResearchPlan(self, prompt: str) -> Dict[str, Any]: - """ - Use AI to create a detailed research plan. - - Args: - prompt: The research query - - Returns: - Research plan dictionary - """ - researchPrompt = f""" - Create a detailed web research plan for this task: "{prompt}" - - Analyze the request carefully and create a structured plan in JSON format with the following elements: - {{ - "requiresWebResearch": true/false, # Whether this genuinely requires web research - "researchQuestions": ["question1", "question2", ...], # 2-4 specific questions to answer - "searchTerms": ["term1", "term2", ...], # Up to {self.maxSearchTerms} effective search terms - "directUrls": ["url1", "url2", ...], # Any URLs directly mentioned in the request (up to {self.maxUrl}) - "expectedSources": ["type1", "type2", ...], # Types of sources that would be most valuable - "contentFocus": "what specific content to extract or focus on", - "feedback": "explanation of how the research will be conducted" - }} - - Respond with ONLY the JSON object, no additional text or explanations. - """ - - try: - # Get research plan from AI - response = await self.mydom.callAi([ - {"role": "system", "content": "You are a web research planning expert. Create precise research plans in JSON format only."}, - {"role": "user", "content": researchPrompt} - ]) - - # Extract JSON - jsonStart = response.find('{') - jsonEnd = response.rfind('}') + 1 - - if jsonStart >= 0 and jsonEnd > jsonStart: - plan = json.loads(response[jsonStart:jsonEnd]) - - # Ensure we have the expected fields with defaults if missing - if "searchTerms" not in plan: - plan["searchTerms"] = [prompt] - if "directUrls" not in plan: - plan["directUrls"] = [] - if "researchQuestions" not in plan: - plan["researchQuestions"] = ["What information can be found about this topic?"] - - return plan - else: - # Fallback plan - logger.warning(f"Not able creating research plan, generating fallback plan") - return { - "requiresWebResearch": True, - "researchQuestions": ["What information can be found about this topic?"], - "searchTerms": [prompt], - "directUrls": [], - "expectedSources": ["Web pages", "Articles"], - "contentFocus": "Relevant information about the topic", - "feedback": f"I'll conduct web research on '{prompt}' and gather relevant information." - } - - except Exception as e: - logger.warning(f"Error creating research plan: {str(e)}") - # Simple fallback plan - return { - "requiresWebResearch": True, - "researchQuestions": ["What information can be found about this topic?"], - "searchTerms": [prompt], - "directUrls": [], - "expectedSources": ["Web pages", "Articles"], - "contentFocus": "Relevant information about the topic", - "feedback": f"I'll conduct web research on '{prompt}' and gather relevant information." - } - - async def _gatherResearchMaterial(self, researchPlan: Dict[str, Any]) -> List[Dict[str, Any]]: - """ - Gather research material based on the research plan. - - Args: - researchPlan: Research plan dictionary - - Returns: - List of research results - """ - allResults = [] - - # Process direct URLs - directUrls = researchPlan.get("directUrls", [])[:self.maxUrl] - for url in directUrls: - logger.info(f"Processing direct URL: {url}") - try: - # Fetch and extract content - soup = self._readUrl(url) - - if soup: - # Extract title and content - title = self._extractTitle(soup, url) - content = self._extractMainContent(soup) - - # Add to results - allResults.append({ - "title": title, - "url": url, - "sourceType": "directUrl", - "content": content, - "summary": "" # Will be filled later - }) - except Exception as e: - logger.warning(f"Error processing URL {url}: {str(e)}") - - # Process search terms - searchTerms = researchPlan.get("searchTerms", [])[:self.maxSearchTerms] - for term in searchTerms: - logger.info(f"Searching for: {term}") - try: - # Perform search - searchResults = self._searchWeb(term) - - # Process each search result - for result in searchResults: - # Check if URL is already in results - if not any(r["url"] == result["url"] for r in allResults): - allResults.append({ - "title": result["title"], - "url": result["url"], - "sourceType": "searchResult", - "content": result["data"], - "snippet": result["snippet"], - "summary": "" # Will be filled later - }) - - # Stop if we've reached the maximum results - if len(allResults) >= self.maxResults: - break - except Exception as e: - logger.warning(f"Error searching for {term}: {str(e)}") - - # Stop if we've reached the maximum results - if len(allResults) >= self.maxResults: - break - - # Create summaries in parallel for all results - allResults = await self._summarizeAllResults(allResults, researchPlan) - - return allResults - - async def _summarizeAllResults(self, results: List[Dict[str, Any]], researchPlan: Dict[str, Any]) -> List[Dict[str, Any]]: - """ - Create summaries for all research results. - - Args: - results: List of research results - researchPlan: Research plan with questions and focus - - Returns: - Results with added summaries - """ - for i, result in enumerate(results): - logger.info(f"Summarizing result {i+1}/{len(results)}: {result['title'][:30]}...") - - try: - # Limit content length to avoid token issues - content = self._limitText(result.get("content", ""), maxChars=8000) - researchQuestions = researchPlan.get("researchQuestions", ["What relevant information does this page contain?"]) - contentFocus = researchPlan.get("contentFocus", "Relevant information") - - # Create summary using AI - summaryPrompt = f""" - Summarize this web page content based on these research questions: - {', '.join(researchQuestions)} - - Focus on: {contentFocus} - - Web page: {result['url']} - Title: {result['title']} - - Content: - {content} - - Create a concise summary that: - 1. Directly answers the research questions if possible - 2. Extracts the most relevant information from the page - 3. Includes specific facts, figures, or quotes if available - 4. Is around 2000 characters long - - Only include information actually found in the content. No fabrications or assumptions. - """ - - if self.mydom: - summary = await self.mydom.callAi([ - {"role": "system", "content": "You summarize web content accurately and concisely, focusing only on what is actually in the content."}, - {"role": "user", "content": summaryPrompt} - ]) - - # Store the summary - result["summary"] = summary - else: - # Fallback if no AI service - logger.warning(f"Not able to summarize result, using fallback plan.") - result["summary"] = f"Content from {result['url']} ({len(content)} characters)" - - except Exception as e: - logger.warning(f"Error summarizing result {i+1}: {str(e)}") - result["summary"] = f"Error creating summary: {str(e)}" - - return results - - async def _createOutputDocuments(self, prompt: str, results: List[Dict[str, Any]], - outputSpecs: List[Dict[str, Any]], researchPlan: Dict[str, Any]) -> List[Dict[str, Any]]: - """ - Create output documents based on research results and specifications. - - Args: - prompt: Original research prompt - results: List of research results - outputSpecs: Output specifications - researchPlan: Research plan - - Returns: - List of output documents - """ - # If no output specs provided, create default output - if not outputSpecs: - outputSpecs = [{ - "label": "webResearchResults.md", - "description": "Comprehensive web research results" - }] - - # Generate documents - documents = [] - - # Process each output specification - for spec in outputSpecs: - outputLabel = spec.get("label", "") - outputDescription = spec.get("description", "") - - # Determine format based on file extension - formatType = self._determineFormatType(outputLabel) - - # Create appropriate document based on format - if formatType == "json": - # JSON output - structured data - document = await self._createJsonDocument(prompt, results, researchPlan, outputLabel) - elif formatType == "csv": - # CSV output - tabular data - document = await self._createCsvDocument(results, outputLabel) - else: - # Text-based output (markdown, html, text) - narrative report - document = await self._createNarrativeDocument( - prompt, results, researchPlan, formatType, outputLabel, outputDescription - ) - - documents.append(document) - - return documents - - async def _createNarrativeDocument(self, prompt: str, results: List[Dict[str, Any]], - researchPlan: Dict[str, Any], formatType: str, - outputLabel: str, outputDescription: str) -> Dict[str, Any]: - """ - Create a narrative document (markdown, html, text) from research results. - - Args: - prompt: Original research prompt - results: Research results - researchPlan: Research plan - formatType: Output format (markdown, html, text) - outputLabel: Output filename - outputDescription: Output description - - Returns: - Document object - """ - # Create content based on format - if formatType == "markdown": - contentType = "text/markdown" - templateFormat = "markdown" - elif formatType == "html": - contentType = "text/html" - templateFormat = "html" - else: - contentType = "text/plain" - templateFormat = "text" - - # Prepare research context - researchQuestions = researchPlan.get("researchQuestions", []) - searchTerms = researchPlan.get("searchTerms", []) - - # Create document structure based on results - sourcesSummary = [] - for result in results: - sourcesSummary.append({ - "title": result.get("title", "Untitled"), - "url": result.get("url", ""), - "summary": result.get("summary", ""), - "snippet": result.get("snippet", "") - }) - - # Truncate content for prompt - sourcesJson = json.dumps(sourcesSummary, indent=2) - if len(sourcesJson) > 10000: - # Logic to truncate each summary while preserving structure - for i in range(len(sourcesSummary)): - if len(sourcesJson) <= 10000: - break - # Gradually truncate summaries - sourcesSummary[i]["summary"] = sourcesSummary[i]["summary"][:500] + "..." - sourcesJson = json.dumps(sourcesSummary, indent=2) - - # Create report prompt - reportPrompt = f""" - Create a comprehensive {formatType} research report based on the following web research: - - TASK: {prompt} - - RESEARCH QUESTIONS: - {', '.join(researchQuestions)} - - SEARCH TERMS USED: - {', '.join(searchTerms)} - - SOURCES AND FINDINGS: - {sourcesJson} - - REPORT DETAILS: - - Format: {templateFormat} - - Filename: {outputLabel} - - Description: {outputDescription} - - Create a well-structured report that: - 1. Includes an executive summary of key findings - 2. Addresses each research question directly - 3. Integrates information from all relevant sources - 4. Cites sources appropriately for each piece of information - 5. Provides a comprehensive synthesis of the research - 6. Is formatted professionally and appropriately for {templateFormat} - - The report should be scholarly, accurate, and focused on the original research task. - """ - - try: - # Generate report with AI - reportContent = await self.mydom.callAi([ - {"role": "system", "content": f"You create professional research reports in {templateFormat} format."}, - {"role": "user", "content": reportPrompt} - ]) - - # Convert to HTML if needed - if formatType == "html" and not reportContent.lower().startswith("Web Research Results{reportContent}" - - return self.formatAgentDocumentOutput(outputLabel, reportContent, contentType) - - except Exception as e: - logger.error(f"Error creating narrative document: {str(e)}") - # Create error document - if formatType == "markdown": - content = f"# Web Research Error\n\nAn error occurred: {str(e)}" - elif formatType == "html": - content = f"

Web Research Error

An error occurred: {str(e)}

" - else: - content = f"WEB RESEARCH ERROR\n\nAn error occurred: {str(e)}" - - return self.formatAgentDocumentOutput(outputLabel, content, contentType) - - async def _createJsonDocument(self, prompt: str, results: List[Dict[str, Any]], - researchPlan: Dict[str, Any], outputLabel: str) -> Dict[str, Any]: - """ - Create a JSON document from research results. - - Args: - prompt: Original research prompt - results: Research results - researchPlan: Research plan - outputLabel: Output filename - - Returns: - Document object - """ - try: - # Create structured data - sourcesData = [] - for result in results: - sourcesData.append({ - "title": result.get("title", "Untitled"), - "url": result.get("url", ""), - "summary": result.get("summary", ""), - "snippet": result.get("snippet", ""), - "sourceType": result.get("sourceType", "") - }) - - # Create metadata - metadata = { - "query": prompt, - "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"), - "researchQuestions": researchPlan.get("researchQuestions", []), - "searchTerms": researchPlan.get("searchTerms", []) - } - - # Compile complete report object - jsonContent = { - "metadata": metadata, - "summary": researchPlan.get("feedback", "Web research results"), - "sources": sourcesData - } - - # Convert to JSON string - content = json.dumps(jsonContent, indent=2) - - return self.formatAgentDocumentOutput(outputLabel, content, "application/json") - - except Exception as e: - logger.error(f"Error creating JSON document: {str(e)}") - return self.formatAgentDocumentOutput(outputLabel, json.dumps({"error": str(e)}), "application/json") - - async def _createCsvDocument(self, results: List[Dict[str, Any]], outputLabel: str) -> Dict[str, Any]: - """ - Create a CSV document from research results. - - Args: - results: Research results - outputLabel: Output filename - - Returns: - Document object - """ - try: - # Create CSV header - csvLines = ["Title,URL,Source Type,Snippet"] - - # Add results - for result in results: - # Escape CSV fields - title = result.get("title", "").replace('"', '""') - url = result.get("url", "").replace('"', '""') - sourceType = result.get("sourceType", "").replace('"', '""') - snippet = result.get("snippet", "").replace('"', '""') - - csvLines.append(f'"{title}","{url}","{sourceType}","{snippet}"') - - # Combine into CSV content - content = "\n".join(csvLines) - - return self.formatAgentDocumentOutput(outputLabel, content, "text/csv") - - except Exception as e: - logger.error(f"Error creating CSV document: {str(e)}") - return self.formatAgentDocumentOutput(outputLabel, "Error,Error\nFailed to create CSV,{0}".format(str(e)), "text/csv") - - def _determineFormatType(self, outputLabel: str) -> str: - """ - Determine the format type based on the filename. - - Args: - outputLabel: Output filename - - Returns: - Format type (markdown, html, text, json, csv) - """ - outputLabelLower = outputLabel.lower() - - if outputLabelLower.endswith(".md"): - return "markdown" - elif outputLabelLower.endswith(".html"): - return "html" - elif outputLabelLower.endswith(".txt"): - return "text" - elif outputLabelLower.endswith(".json"): - return "json" - elif outputLabelLower.endswith(".csv"): - return "csv" - else: - # Default to markdown - return "markdown" - - def _searchWeb(self, query: str) -> List[Dict[str, str]]: - """ - Conduct a web search and return the results. - - Args: - query: The search query - - Returns: - List of search results - """ - formattedQuery = quote_plus(query) - url = f"{self.searchEngine}{formattedQuery}" - - searchResultsSoup = self._readUrl(url) - if not searchResultsSoup or not searchResultsSoup.select('.result'): - logger.warning(f"No search results found for: {query}") - return [] - - # Extract search results - results = [] - - # Find all result containers - resultElements = searchResultsSoup.select('.result') - - for result in resultElements: - # Extract title - titleElement = result.select_one('.result__a') - title = titleElement.text.strip() if titleElement else 'No title' - - # Extract URL (DuckDuckGo uses redirects) - urlElement = titleElement.get('href') if titleElement else '' - extractedUrl = 'No URL' - - if urlElement: - # Extract actual URL from DuckDuckGo's redirect - if urlElement.startswith('/d.js?q='): - start = urlElement.find('?q=') + 3 - end = urlElement.find('&', start) if '&' in urlElement[start:] else None - extractedUrl = unquote(urlElement[start:end]) - - # Ensure URL has correct protocol prefix - if not extractedUrl.startswith(('http://', 'https://')): - if not extractedUrl.startswith('//'): - extractedUrl = 'https://' + extractedUrl - else: - extractedUrl = 'https:' + extractedUrl - else: - extractedUrl = urlElement - - # Extract snippet directly from search results page - snippetElement = result.select_one('.result__snippet') - snippet = snippetElement.text.strip() if snippetElement else 'No description' - - # Get actual page content - try: - targetPageSoup = self._readUrl(extractedUrl) - content = self._extractMainContent(targetPageSoup) - except Exception as e: - logger.warning(f"Error extracting content from {extractedUrl}: {str(e)}") - content = f"Error extracting content: {str(e)}" - - results.append({ - 'title': title, - 'url': extractedUrl, - 'snippet': snippet, - 'data': content - }) - - # Limit number of results - if len(results) >= self.maxResults: - break - - return results - - def _readUrl(self, url: str) -> BeautifulSoup: - """ - Read a URL and return a BeautifulSoup parser for the content. - - Args: - url: The URL to read - - Returns: - BeautifulSoup object with the content or None on errors - """ - if not url or not url.startswith(('http://', 'https://')): - return None - - headers = { - 'User-Agent': self.userAgent, - 'Accept': 'text/html,application/xhtml+xml,application/xml', - 'Accept-Language': 'en-US,en;q=0.9', - } - - try: - # Initial request - response = requests.get(url, headers=headers, timeout=self.timeout) - - # Handling for status 202 - if response.status_code == 202: - # Retry with backoff - backoffTimes = [0.5, 1.0, 2.0, 5.0] - - for waitTime in backoffTimes: - time.sleep(waitTime) - response = requests.get(url, headers=headers, timeout=self.timeout) - - if response.status_code != 202: - break - - # Raise for error status codes - response.raise_for_status() - - # Parse HTML - return BeautifulSoup(response.text, 'html.parser') - - except Exception as e: - logger.error(f"Error reading URL {url}: {str(e)}") - return None - - def _extractTitle(self, soup: BeautifulSoup, url: str) -> str: - """ - Extract the title from a webpage. - - Args: - soup: BeautifulSoup object of the webpage - url: URL of the webpage - - Returns: - Extracted title - """ - if not soup: - return f"Error with {url}" - - # Extract title from title tag - titleTag = soup.find('title') - title = titleTag.text.strip() if titleTag else "No title" - - # Alternative: Also look for h1 tags if title tag is missing - if title == "No title": - h1Tag = soup.find('h1') - if h1Tag: - title = h1Tag.text.strip() - - return title - - def _extractMainContent(self, soup: BeautifulSoup, maxChars: int = 10000) -> str: - """ - Extract the main content from an HTML page. - - Args: - soup: BeautifulSoup object of the webpage - maxChars: Maximum number of characters - - Returns: - Extracted main content as a string - """ - if not soup: - return "" - - # Try to find main content elements in priority order - mainContent = None - for selector in ['main', 'article', '#content', '.content', '#main', '.main']: - content = soup.select_one(selector) - if content: - mainContent = content - break - - # If no main content found, use the body - if not mainContent: - mainContent = soup.find('body') or soup - - # Remove script, style, nav, footer elements that don't contribute to main content - for element in mainContent.select('script, style, nav, footer, header, aside, .sidebar, #sidebar, .comments, #comments, .advertisement, .ads, iframe'): - element.extract() - - # Extract text content - textContent = mainContent.get_text(separator=' ', strip=True) - - # Limit to maxChars - return textContent[:maxChars] - - def _limitText(self, text: str, maxChars: int = 10000) -> str: - """ - Limit text to a maximum number of characters. - - Args: - text: Input text - maxChars: Maximum number of characters - - Returns: - Limited text - """ - if not text: - return "" - - # If text is already under the limit, return unchanged - if len(text) <= maxChars: - return text - - # Otherwise limit text to maxChars - return text[:maxChars] + "... [Content truncated due to length]" - - -# Factory function for the Webcrawler agent -def getAgentWebcrawler(): - """Returns an instance of the Webcrawler agent.""" - return AgentWebcrawler() \ No newline at end of file diff --git a/static/124_defAttributes.py b/static/124_defAttributes.py deleted file mode 100644 index 731ecfd9..00000000 --- a/static/124_defAttributes.py +++ /dev/null @@ -1,123 +0,0 @@ -from pydantic import BaseModel, Field -from typing import List, Dict, Any, Optional - -# Define the model for attribute definitions -class AttributeDefinition(BaseModel): - name: str - label: str - type: str - required: bool = False - placeholder: Optional[str] = None - defaultValue: Optional[Any] = None - options: Optional[List[Dict[str, Any]]] = None - editable: bool = True - visible: bool = True - order: int = 0 - validation: Optional[Dict[str, Any]] = None - helpText: Optional[str] = None - -# Helper classes for type mapping -typeMappings = { - "int": "number", - "str": "string", - "float": "number", - "bool": "boolean", - "List[int]": "array", - "List[str]": "array", - "Dict[str, Any]": "object", - "Optional[str]": "string", - "Optional[int]": "number", - "Optional[Dict[str, Any]]": "object" -} - -# Special field types based on naming conventions -specialFieldTypes = { - "content": "textarea", - "description": "textarea", - "instructions": "textarea", - "password": "password", - "email": "email", - "workspaceId": "select", - "agentId": "select", - "type": "select" -} - -# Function to convert a Pydantic model into attribute definitions -def getModelAttributes(modelClass, userLanguage="de"): - """ - Converts a Pydantic model into a list of AttributeDefinition objects - """ - attributes = [] - - # Go through all fields in the model - for i, (fieldName, field) in enumerate(modelClass.__fields__.items()): - # Skip internal fields - if fieldName.startswith('_') or fieldName in ["label", "fieldLabels"]: - continue - - # Determine the field type - fieldType = typeMappings.get(str(field.type_), "string") - - # Check for special field types - if fieldName in specialFieldTypes: - fieldType = specialFieldTypes[fieldName] - - # Get the label (if available) - fieldLabel = fieldName.replace('_', ' ').capitalize() - if hasattr(modelClass, 'fieldLabels') and fieldName in modelClass.fieldLabels: - labelObj = modelClass.fieldLabels[fieldName] - fieldLabel = labelObj.getLabel(userLanguage) - - # Determine default values and required status - required = field.required - defaultValue = field.default if not field.required else None - - # Check for validation rules - validation = None - if field.validators: - validation = {"hasValidators": True} - - # Placeholder text - placeholder = f"Please enter {fieldLabel}" - - # Special options for Select fields - options = None - if fieldType == "select": - if fieldName == "type" and modelClass.__name__ == "Agent": - options = [ - {"value": "Analysis", "label": "Analysis"}, - {"value": "Transformation", "label": "Transformation"}, - {"value": "Generation", "label": "Generation"}, - {"value": "Classification", "label": "Classification"}, - {"value": "Custom", "label": "Custom"} - ] - - # Extract description from Field object - description = None - # Try to get description from various possible sources - if hasattr(field, 'field_info') and hasattr(field.field_info, 'description'): - description = field.field_info.description - elif hasattr(field, 'description'): - description = field.description - elif hasattr(field, 'schema') and hasattr(field.schema, 'description'): - description = field.schema.description - - # Create attribute definition - attrDef = AttributeDefinition( - name=fieldName, - label=fieldLabel, - type=fieldType, - required=required, - placeholder=placeholder, - defaultValue=defaultValue, - options=options, - editable=fieldName not in ["id", "mandateId", "userId", "createdAt", "uploadDate"], - visible=fieldName not in ["hashedPassword", "mandateId", "userId"], - order=i, - validation=validation, - helpText=description or "" # Set empty string as default value if no description found - ) - - attributes.append(attrDef) - - return attributes \ No newline at end of file diff --git a/static/125_gatewayInterface.py b/static/125_gatewayInterface.py deleted file mode 100644 index 3e1120c7..00000000 --- a/static/125_gatewayInterface.py +++ /dev/null @@ -1,471 +0,0 @@ -""" -Interface to the Gateway system. -Manages users and mandates for authentication. -""" - -import os -import logging -from typing import Dict, Any, List, Optional, Union -import importlib -from passlib.context import CryptContext - -from connectors.connectorDbJson import DatabaseConnector -from modules.configuration import APP_CONFIG - -logger = logging.getLogger(__name__) - -# Password-Hashing -pwdContext = CryptContext(schemes=["argon2"], deprecated="auto") - - -class GatewayInterface: - """ - Interface to the Gateway system. - Manages users and mandates. - """ - - def __init__(self, mandateId: int = None, userId: int = None): - """ - Initializes the Gateway Interface with optional mandate and user context. - - Args: - mandateId: ID of the current mandate (optional) - userId: ID of the current user (optional) - """ - # Context can be empty during initialization - self.mandateId = mandateId - self.userId = userId - - # Import data model module - try: - self.modelModule = importlib.import_module("modules.gatewayModel") - logger.info("gatewayModel successfully imported") - except ImportError as e: - logger.error(f"Error importing gatewayModel: {e}") - raise - - # Initialize database - self._initializeDatabase() - - def _initializeDatabase(self): - """ - Initializes the database with minimal objects - """ - - self.db = DatabaseConnector( - dbHost=APP_CONFIG.get("DB_SYSTEM_HOST"), - dbDatabase=APP_CONFIG.get("DB_SYSTEM_DATABASE"), - dbUser=APP_CONFIG.get("DB_SYSTEM_USER"), - dbPassword=APP_CONFIG.get("DB_SYSTEM_PASSWORD_SECRET"), - mandateId=self.mandateId if self.mandateId else 0, - userId=self.userId if self.userId else 0 - ) - - # Create Root mandate if needed - existingMandateId = self.getInitialId("mandates") - mandates = self.db.getRecordset("mandates") - if existingMandateId is None or not mandates: - logger.info("Creating Root mandate") - rootMandate = { - "name": "Root", - "language": "de" - } - createdMandate = self.db.recordCreate("mandates", rootMandate) - logger.info(f"Root mandate created with ID {createdMandate['id']}") - - # Update mandate context - self.mandateId = createdMandate['id'] - self.userId = createdMandate['userId'] - - # Recreate connector with correct context - self.db = DatabaseConnector( - dbHost=APP_CONFIG.get("DB_SYSTEM_HOST"), - dbDatabase=APP_CONFIG.get("DB_SYSTEM_DATABASE"), - dbUser=APP_CONFIG.get("DB_SYSTEM_USER"), - dbPassword=APP_CONFIG.get("DB_SYSTEM_PASSWORD_SECRET"), - mandateId=self.mandateId, - userId=self.userId - ) - - # Create Admin user if needed - existingUserId = self.getInitialId("users") - users = self.db.getRecordset("users") - if existingUserId is None or not users: - logger.info("Creating Admin user") - adminUser = { - "mandateId": self.mandateId, - "username": "admin", - "email": "admin@example.com", - "fullName": "Administrator", - "disabled": False, - "language": "de", - "privilege": "sysadmin", # SysAdmin privilege - "hashedPassword": self._getPasswordHash("admin") # Use a secure password in production! - } - createdUser = self.db.recordCreate("users", adminUser) - logger.info(f"Admin user created with ID {createdUser['id']}") - - # Update user context - self.userId = createdUser['id'] - - # Recreate connector with correct context - self.db = DatabaseConnector( - dbHost=APP_CONFIG.get("DB_SYSTEM_HOST"), - dbDatabase=APP_CONFIG.get("DB_SYSTEM_DATABASE"), - dbUser=APP_CONFIG.get("DB_SYSTEM_USER"), - dbPassword=APP_CONFIG.get("DB_SYSTEM_PASSWORD_SECRET"), - mandateId=self.mandateId, - userId=self.userId - ) - - def getInitialId(self, table: str) -> Optional[int]: - """Returns the initial ID for a table""" - return self.db.getInitialId(table) - - def _getPasswordHash(self, password: str) -> str: - """Creates a hash for a password""" - return pwdContext.hash(password) - - def _verifyPassword(self, plainPassword: str, hashedPassword: str) -> bool: - """Checks if the password matches the hash""" - return pwdContext.verify(plainPassword, hashedPassword) - - def _getCurrentTimestamp(self) -> str: - """Returns the current timestamp in ISO format""" - from datetime import datetime - return datetime.now().isoformat() - - # Mandate methods - - def getAllMandates(self) -> List[Dict[str, Any]]: - """Returns all mandates""" - return self.db.getRecordset("mandates") - - def getMandate(self, mandateId: int) -> Optional[Dict[str, Any]]: - """Returns a mandate by its ID""" - mandates = self.db.getRecordset("mandates", recordFilter={"id": mandateId}) - if mandates: - return mandates[0] - return None - - def createMandate(self, name: str, language: str = "de") -> Dict[str, Any]: - """Creates a new mandate""" - mandateData = { - "name": name, - "language": language - } - - return self.db.recordCreate("mandates", mandateData) - - def updateMandate(self, mandateId: int, mandateData: Dict[str, Any]) -> Dict[str, Any]: - """ - Updates an existing mandate - - Args: - mandateId: The ID of the mandate to update - mandateData: The mandate data to update - - Returns: - Dict[str, Any]: The updated mandate data - - Raises: - ValueError: If the mandate is not found - """ - # Check if the mandate exists - mandate = self.getMandate(mandateId) - if not mandate: - raise ValueError(f"Mandate with ID {mandateId} not found") - - # Update the mandate - updatedMandate = self.db.recordModify("mandates", mandateId, mandateData) - - return updatedMandate - - def deleteMandate(self, mandateId: int) -> bool: - """ - Deletes a mandate and all associated users and data - - Args: - mandateId: The ID of the mandate to delete - - Returns: - bool: True if the mandate was successfully deleted, otherwise False - """ - # Check if the mandate exists - mandate = self.getMandate(mandateId) - if not mandate: - return False - - # Check if it's the initial mandate - initialMandateId = self.getInitialId("mandates") - if initialMandateId is not None and mandateId == initialMandateId: - logger.warning(f"Attempt to delete the Root mandate was prevented") - return False - - # Find all users of the mandate - users = self.getUsersByMandate(mandateId) - - # Delete all users of the mandate and their associated data - for user in users: - self.deleteUser(user["id"]) - - # Delete the mandate - success = self.db.recordDelete("mandates", mandateId) - - if success: - logger.info(f"Mandate with ID {mandateId} was successfully deleted") - else: - logger.error(f"Error deleting mandate with ID {mandateId}") - - return success - - # User methods - - def getAllUsers(self) -> List[Dict[str, Any]]: - """Returns all users""" - users = self.db.getRecordset("users") - # Remove password hashes from the response - for user in users: - if "hashedPassword" in user: - del user["hashedPassword"] - return users - - def getUsersByMandate(self, mandateId: int) -> List[Dict[str, Any]]: - """ - Returns all users of a specific mandate - - Args: - mandateId: The ID of the mandate - - Returns: - List[Dict[str, Any]]: List of users in the mandate - """ - users = self.db.getRecordset("users", recordFilter={"mandateId": mandateId}) - # Remove password hashes from the response - for user in users: - if "hashedPassword" in user: - del user["hashedPassword"] - return users - - def getUserByUsername(self, username: str) -> Optional[Dict[str, Any]]: - """Returns a user by username""" - users = self.db.getRecordset("users") - for user in users: - if user.get("username") == username: - return user - return None - - def getUser(self, userId: int) -> Optional[Dict[str, Any]]: - """Returns a user by ID""" - users = self.db.getRecordset("users", recordFilter={"id": userId}) - if users: - user = users[0] - # Remove password hash from the API response - if "hashedPassword" in user: - userCopy = user.copy() - del userCopy["hashedPassword"] - return userCopy - return user - return None - - def createUser(self, username: str, password: str, email: str = None, - fullName: str = None, language: str = "de", mandateId: int = None, - disabled: bool = False, privilege: str = "user") -> Dict[str, Any]: - """ - Creates a new user - - Args: - username: The username - password: The password - email: The email address (optional) - fullName: The full name (optional) - language: The preferred language (default: "de") - mandateId: The ID of the mandate (optional) - disabled: Whether the user is disabled (default: False) - privilege: The privilege level (default: "user") - - Returns: - Dict[str, Any]: The created user data - - Raises: - ValueError: If the username already exists - """ - # Check if the username already exists - existingUser = self.getUserByUsername(username) - if existingUser: - raise ValueError(f"User '{username}' already exists") - - # Use the provided mandateId or the current context - userMandateId = mandateId if mandateId is not None else self.mandateId - - userData = { - "mandateId": userMandateId, - "username": username, - "email": email, - "fullName": fullName, - "disabled": disabled, - "language": language, - "privilege": privilege, - "hashedPassword": self._getPasswordHash(password) - } - - createdUser = self.db.recordCreate("users", userData) - - # Remove password hash from the response - if "hashedPassword" in createdUser: - del createdUser["hashedPassword"] - - return createdUser - - def authenticateUser(self, username: str, password: str) -> Optional[Dict[str, Any]]: - """ - Authenticates a user by username and password - - Args: - username: The username - password: The password - - Returns: - Optional[Dict[str, Any]]: The user data or None if authentication fails - """ - user = self.getUserByUsername(username) - - if not user: - return None - - if not self._verifyPassword(password, user.get("hashedPassword", "")): - return None - - # Check if the user is disabled - if user.get("disabled", False): - return None - - # Create a copy without password hash - authenticatedUser = {**user} - if "hashedPassword" in authenticatedUser: - del authenticatedUser["hashedPassword"] - - return authenticatedUser - - def updateUser(self, userId: int, userData: Dict[str, Any]) -> Dict[str, Any]: - """ - Updates a user - - Args: - userId: The ID of the user to update - userData: The user data to update - - Returns: - Dict[str, Any]: The updated user data - - Raises: - ValueError: If the user is not found - """ - # Get the current user with password hash (directly from DB) - users = self.db.getRecordset("users", recordFilter={"id": userId}) - if not users: - raise ValueError(f"User with ID {userId} not found") - - user = users[0] - - # If the password is being changed, hash it - if "password" in userData: - userData["hashedPassword"] = self._getPasswordHash(userData["password"]) - del userData["password"] - - # Update the user - updatedUser = self.db.recordModify("users", userId, userData) - - # Remove password hash from the response - if "hashedPassword" in updatedUser: - del updatedUser["hashedPassword"] - - return updatedUser - - def disableUser(self, userId: int) -> Dict[str, Any]: - """Disables a user""" - return self.updateUser(userId, {"disabled": True}) - - def enableUser(self, userId: int) -> Dict[str, Any]: - """Enables a user""" - return self.updateUser(userId, {"disabled": False}) - - def _deleteUserReferencedData(self, userId: int) -> None: - """ - Deletes all data associated with a user - - Args: - userId: The ID of the user - """ - # Here all tables are searched and all entries referencing this user are deleted - - # Delete user attributes - try: - attributes = self.db.getRecordset("attributes", recordFilter={"userId": userId}) - for attribute in attributes: - self.db.recordDelete("attributes", attribute["id"]) - except Exception as e: - logger.error(f"Error deleting attributes for user {userId}: {e}") - - # Other tables that might reference the user - # (Depending on the application's database structure) - - logger.info(f"All referenced data for user {userId} has been deleted") - - def deleteUser(self, userId: int) -> bool: - """ - Deletes a user and all associated data - - Args: - userId: The ID of the user to delete - - Returns: - bool: True if the user was successfully deleted, otherwise False - """ - # Check if the user exists - users = self.db.getRecordset("users", recordFilter={"id": userId}) - if not users: - return False - - # Check if it's the initial user - initialUserId = self.getInitialId("users") - if initialUserId is not None and userId == initialUserId: - logger.warning("Attempt to delete the Root Admin was prevented") - return False - - # Delete all data associated with the user - self._deleteUserReferencedData(userId) - - # Delete the user - success = self.db.recordDelete("users", userId) - - if success: - logger.info(f"User with ID {userId} was successfully deleted") - else: - logger.error(f"Error deleting user with ID {userId}") - - return success - - -# Singleton factory for GatewayInterface instances per context -_gatewayInterfaces = {} - -def getGatewayInterface(mandateId: int = None, userId: int = None) -> GatewayInterface: - """ - Returns a GatewayInterface instance for the specified context. - Reuses existing instances. - - Args: - mandateId: ID of the mandate - userId: ID of the user - - Returns: - GatewayInterface instance - """ - contextKey = f"{mandateId}_{userId}" - if contextKey not in _gatewayInterfaces: - _gatewayInterfaces[contextKey] = GatewayInterface(mandateId, userId) - return _gatewayInterfaces[contextKey] - -# Initialize the interface -getGatewayInterface() \ No newline at end of file diff --git a/static/126_gatewayModel.py b/static/126_gatewayModel.py deleted file mode 100644 index 83d759c7..00000000 --- a/static/126_gatewayModel.py +++ /dev/null @@ -1,103 +0,0 @@ -""" -Data models for the gateway system. -""" -from pydantic import BaseModel, Field -from typing import List, Dict, Any, Optional -from datetime import datetime - - -class Label(BaseModel): - """Label for an attribute or a class with support for multiple languages""" - default: str - translations: Dict[str, str] = {} - - def getLabel(self, language: str = None): - """Returns the label in the specified language, or the default value if not available""" - if language and language in self.translations: - return self.translations[language] - return self.default - - -class Mandate(BaseModel): - """Data model for a mandate""" - id: int = Field(description="Unique ID of the mandate") - name: str = Field(description="Name of the mandate") - language: str = Field(description="Default language of the mandate") - - label: Label = Field( - default=Label(default="Mandate", translations={"en": "Mandate", "fr": "Mandat"}), - description="Label for the class" - ) - - # Labels for attributes - fieldLabels: Dict[str, Label] = { - "id": Label(default="ID", translations={}), - "name": Label(default="Name of the mandate", translations={"en": "Mandate name", "fr": "Nom du mandat"}), - "language": Label(default="Language", translations={"en": "Language", "fr": "Langue"}) - } - -class User(BaseModel): - """Data model for a user""" - id: int = Field(description="Unique ID of the user") - mandateId: int = Field(description="ID of the associated mandate") - username: str = Field(description="Username for login") - email: Optional[str] = Field(None, description="Email address of the user") - fullName: Optional[str] = Field(None, description="Full name of the user") - language: str = Field(description="Preferred language of the user") - disabled: Optional[bool] = Field(False, description="Indicates whether the user is disabled") - privilege: str = Field(description="Permission level") #sysadmin,admin,user - - label: Label = Field( - default=Label(default="User", translations={"en": "User", "fr": "Utilisateur"}), - description="Label for the class" - ) - - # Labels for attributes - fieldLabels: Dict[str, Label] = { - "id": Label(default="ID", translations={}), - "mandateId": Label(default="Mandate ID", translations={"en": "Mandate ID", "fr": "ID de mandat"}), - "username": Label(default="Username", translations={"en": "Username", "fr": "Nom d'utilisateur"}), - "email": Label(default="Email", translations={"en": "Email", "fr": "E-mail"}), - "fullName": Label(default="Full name", translations={"en": "Full name", "fr": "Nom complet"}), - "language": Label(default="Language", translations={"en": "Language", "fr": "Langue"}), - "disabled": Label(default="Disabled", translations={"en": "Disabled", "fr": "Désactivé"}), - "privilege": Label(default="Permission level", translations={"en": "Access level", "fr": "Niveau d'accès"}), - } - - -class UserInDB(User): - """Extended user class with password hash""" - hashedPassword: str = Field(description="Hash of the user password") - - label: Label = Field( - default=Label(default="User Access", translations={"en": "User Access", "fr": "Accès de l'utilisateur"}), - description="Label for the class" - ) - - # Additional label for the password field - fieldLabels: Dict[str, Label] = { - "hashedPassword": Label(default="Password hash", translations={"en": "Password hash", "fr": "Hachage de mot de passe"}) - } - - -class Token(BaseModel): - """Data model for an authentication token""" - accessToken: str = Field(description="The issued access token") - tokenType: str = Field(description="Type of token (usually 'bearer')") - label: Label = Field( - default=Label(default="Token", translations={"en": "Token", "fr": "Jeton"}), - description="Label for the class" - ) - - # Labels for attributes - fieldLabels: Dict[str, Label] = { - "accessToken": Label(default="Access token", translations={"en": "Access token", "fr": "Jeton d'accès"}), - "tokenType": Label(default="Token type", translations={"en": "Token type", "fr": "Type de jeton"}) - } - - -class TokenData(BaseModel): - """Data for token decoding and validation""" - username: Optional[str] = None - mandateId: Optional[int] = None - exp: Optional[datetime] = None \ No newline at end of file diff --git a/static/127_documentProcessor.py b/static/127_documentProcessor.py deleted file mode 100644 index 528109be..00000000 --- a/static/127_documentProcessor.py +++ /dev/null @@ -1,933 +0,0 @@ -""" -Module for extracting content from various file formats. -Provides specialized functions for processing text, PDF, Office documents, images, etc. -""" - -import logging -import os -import io -from typing import Dict, Any, List, Optional, Union, Tuple -import base64 - -# Configure logger -logger = logging.getLogger(__name__) - -# Optional imports - only loaded when needed -pdfExtractorLoaded = False -officeExtractorLoaded = False -imageProcessorLoaded = False - -def getDocumentContents(fileMetadata: Dict[str, Any], fileContent: bytes) -> List[Dict[str, Any]]: - """ - Main function for extracting content from a file based on its MIME type. - Delegates to specialized extraction functions. - - Args: - fileMetadata: File metadata (Name, MIME type, etc.) - fileContent: Binary data of the file - - Returns: - List of Document-Content objects with metadata and base64Encoded flag - """ - try: - mimeType = fileMetadata.get("mimeType", "application/octet-stream") - fileName = fileMetadata.get("name", "unknown") - - logger.info(f"Extracting content from file '{fileName}' (MIME type: {mimeType})") - - # Extract content based on MIME type - contents = [] - - # Text-based formats (excluding CSV which has its own handler) - if mimeType == "text/csv": - contents.extend(extractCsvContent(fileName, fileContent)) - - # Then handle other text-based formats - elif mimeType.startswith("text/") or mimeType in [ - "application/json", - "application/xml", - "application/javascript", - "application/x-python" - ]: - contents.extend(extractTextContent(fileName, fileContent, mimeType)) - - # SVG Files - elif mimeType == "image/svg+xml": - contents.extend(extractSvgContent(fileName, fileContent)) - - # Images - elif mimeType.startswith("image/"): - contents.extend(extractImageContent(fileName, fileContent, mimeType)) - - # PDF Documents - elif mimeType == "application/pdf": - contents.extend(extractPdfContent(fileName, fileContent)) - - # Word Documents - elif mimeType in [ - "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - "application/msword" - ]: - contents.extend(extractWordContent(fileName, fileContent, mimeType)) - - # Excel Documents - elif mimeType in [ - "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", - "application/vnd.ms-excel" - ]: - contents.extend(extractExcelContent(fileName, fileContent, mimeType)) - - # PowerPoint Documents - elif mimeType in [ - "application/vnd.openxmlformats-officedocument.presentationml.presentation", - "application/vnd.ms-powerpoint" - ]: - contents.extend(extractPowerpointContent(fileName, fileContent, mimeType)) - - # Binary data as fallback for unknown formats - else: - contents.extend(extractBinaryContent(fileName, fileContent, mimeType)) - - # Fallback when no content could be extracted - if not contents: - logger.warning(f"No content extracted from file '{fileName}', using binary fallback") - - # Convert binary content to base64 - encoded_data = base64.b64encode(fileContent).decode('utf-8') - - contents.append({ - "sequenceNr": 1, - "name": '1_undefined', - "ext": os.path.splitext(fileName)[1][1:] if os.path.splitext(fileName)[1] else "bin", - "contentType": mimeType, - "data": encoded_data, - "base64Encoded": True, - "metadata": { - "isText": False - } - }) - - # Add generic attributes for all documents - for content in contents: - # Make sure all content items have the base64Encoded flag - if "base64Encoded" not in content: - if isinstance(content.get("data"), bytes): - # Convert bytes to base64 - content["data"] = base64.b64encode(content["data"]).decode('utf-8') - content["base64Encoded"] = True - else: - # Assume text content if not explicitly marked - content["base64Encoded"] = False - - # Maintain backward compatibility with old "base64Encoded" flag in metadata - if "metadata" not in content: - content["metadata"] = {} - - # Set base64Encoded in metadata for backward compatibility - content["metadata"]["base64Encoded"] = content["base64Encoded"] - - logger.info(f"Successfully extracted {len(contents)} content items from file '{fileName}'") - return contents - - except Exception as e: - logger.error(f"Error during content extraction: {str(e)}") - # Fallback on error - return original data - return [{ - "sequenceNr": 1, - "name": fileMetadata.get("name", "unknown"), - "ext": os.path.splitext(fileMetadata.get("name", ""))[1][1:] if os.path.splitext(fileMetadata.get("name", ""))[1] else "bin", - "contentType": fileMetadata.get("mimeType", "application/octet-stream"), - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "base64Encoded": True # For backward compatibility - } - }] - - -def _loadPdfExtractor(): - """Loads PDF extraction libraries when needed""" - global pdfExtractorLoaded - if not pdfExtractorLoaded: - try: - global PyPDF2, fitz - import PyPDF2 - import fitz # PyMuPDF for more extensive PDF processing - pdfExtractorLoaded = True - logger.info("PDF extraction libraries successfully loaded") - except ImportError as e: - logger.warning(f"PDF extraction libraries could not be loaded: {e}") - -def _loadOfficeExtractor(): - """Loads Office document extraction libraries when needed""" - global officeExtractorLoaded - if not officeExtractorLoaded: - try: - global docx, openpyxl - import docx # python-docx for Word documents - import openpyxl # for Excel files - officeExtractorLoaded = True - logger.info("Office extraction libraries successfully loaded") - except ImportError as e: - logger.warning(f"Office extraction libraries could not be loaded: {e}") - -def _loadImageProcessor(): - """Loads image processing libraries when needed""" - global imageProcessorLoaded - if not imageProcessorLoaded: - try: - global PIL, Image - from PIL import Image - imageProcessorLoaded = True - logger.info("Image processing libraries successfully loaded") - except ImportError as e: - logger.warning(f"Image processing libraries could not be loaded: {e}") - -def extractTextContent(fileName: str, fileContent: bytes, mimeType: str) -> List[Dict[str, Any]]: - """ - Extracts text from text files. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - mimeType: MIME type of the file - - Returns: - List of Text-Content objects with base64Encoded = False - """ - try: - # Keep original file extension - fileExtension = os.path.splitext(fileName)[1][1:] if os.path.splitext(fileName)[1] else "txt" - - # Extract text content - textContent = fileContent.decode('utf-8') - return [{ - "sequenceNr": 1, - "name": "1_text", # Simplified naming - "ext": fileExtension, - "contentType": "text", - "data": textContent, - "base64Encoded": False, - "metadata": { - "isText": True - } - }] - except UnicodeDecodeError: - logger.warning(f"Could not decode text from file '{fileName}' as UTF-8, trying alternative encodings") - try: - # Try alternative encodings - for encoding in ['latin-1', 'cp1252', 'iso-8859-1']: - try: - textContent = fileContent.decode(encoding) - logger.info(f"Text successfully decoded with encoding {encoding}") - return [{ - "sequenceNr": 1, - "name": "1_text", # Simplified naming - "ext": fileExtension, - "contentType": "text", - "data": textContent, - "base64Encoded": False, - "metadata": { - "isText": True, - "encoding": encoding - } - }] - except UnicodeDecodeError: - continue - - # Fallback to binary data if no encoding works - logger.warning(f"Could not decode text, using binary data") - return [{ - "sequenceNr": 1, - "name": "1_binary", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False - } - }] - except Exception as e: - logger.error(f"Error in alternative text decoding: {str(e)}") - # Return binary data as fallback - return [{ - "sequenceNr": 1, - "name": "1_binary", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False - } - }] - -def extractCsvContent(fileName: str, fileContent: bytes) -> List[Dict[str, Any]]: - """ - Extracts content from CSV files. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - - Returns: - List of CSV-Content objects with base64Encoded = False - """ - try: - # Extract text content - csvContent = fileContent.decode('utf-8') - return [{ - "sequenceNr": 1, - "name": "1_csv", # Simplified naming - "ext": "csv", - "contentType": "csv", - "data": csvContent, - "base64Encoded": False, - "metadata": { - "isText": True, - "format": "csv" - } - }] - except UnicodeDecodeError: - logger.warning(f"Could not decode CSV from file '{fileName}' as UTF-8, trying alternative encodings") - try: - # Try alternative encodings for CSV - for encoding in ['latin-1', 'cp1252', 'iso-8859-1']: - try: - csvContent = fileContent.decode(encoding) - logger.info(f"CSV successfully decoded with encoding {encoding}") - return [{ - "sequenceNr": 1, - "name": "1_csv", # Simplified naming - "ext": "csv", - "contentType": "csv", - "data": csvContent, - "base64Encoded": False, - "metadata": { - "isText": True, - "encoding": encoding, - "format": "csv" - } - }] - except UnicodeDecodeError: - continue - - # Fallback to binary data - return [{ - "sequenceNr": 1, - "name": "1_binary", # Simplified naming - "ext": "csv", - "contentType": "text/csv", - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False - } - }] - except Exception as e: - logger.error(f"Error in alternative CSV decoding: {str(e)}") - return [{ - "sequenceNr": 1, - "name": "1_binary", # Simplified naming - "ext": "csv", - "contentType": "text/csv", - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False - } - }] - -def extractSvgContent(fileName: str, fileContent: bytes) -> List[Dict[str, Any]]: - """ - Extracts content from SVG files. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - - Returns: - List of SVG-Content objects with dual text/image metadata - """ - contents = [] - - try: - # Extract SVG as text content (XML) - svgText = fileContent.decode('utf-8') - - # Check if it's actually SVG by looking for the SVG tag - if " List[Dict[str, Any]]: - """ - Extracts content from image files and optionally generates metadata descriptions. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - mimeType: MIME type of the file - - Returns: - List of Image-Content objects with base64Encoded = True - """ - - # Extract file extension from MIME type or filename - fileExtension = mimeType.split('/')[-1] - if fileExtension == "jpeg": - fileExtension = "jpg" - - # If possible, analyze image and extract metadata - imageMetadata = { - "isText": False, - "format": "image" - } - imageDescription = None - - try: - _loadImageProcessor() - if imageProcessorLoaded and fileContent and len(fileContent) > 0: - with io.BytesIO(fileContent) as imgStream: - try: - img = Image.open(imgStream) - # Check if the image was actually loaded - img.verify() - # To safely continue working, reload - imgStream.seek(0) - img = Image.open(imgStream) - imageMetadata.update({ - "format": img.format, - "mode": img.mode, - "width": img.width, - "height": img.height - }) - # Extract EXIF data if available - if hasattr(img, '_getexif') and callable(img._getexif): - exif = img._getexif() - if exif: - exifData = {} - for tagId, value in exif.items(): - exifData[f"tag_{tagId}"] = str(value) - imageMetadata["exif"] = exifData - - # Generate image description - imageDescription = f"Image ({img.width}x{img.height}, {img.format}, {img.mode})" - except Exception as innerE: - logger.warning(f"Error processing image: {str(innerE)}") - imageMetadata["error"] = str(innerE) - imageDescription = f"Image (unable to process: {str(innerE)})" - except Exception as e: - logger.warning(f"Could not extract image metadata: {str(e)}") - imageMetadata["error"] = str(e) - - # Convert binary image to base64 - encoded_data = base64.b64encode(fileContent).decode('utf-8') - - # Return image content - contents = [{ - "sequenceNr": 1, - "name": "1_image", # Simplified naming - "ext": fileExtension, - "contentType": "image", - "data": encoded_data, - "base64Encoded": True, - "metadata": imageMetadata - }] - - # If image description available, add as additional text content - if imageDescription: - contents.append({ - "sequenceNr": 2, - "name": "2_text_image_info", # Simplified naming with label - "ext": "txt", - "contentType": "text", - "data": imageDescription, - "base64Encoded": False, - "metadata": { - "isText": True, - "imageDescription": True - } - }) - - return contents - -def extractPdfContent(fileName: str, fileContent: bytes) -> List[Dict[str, Any]]: - """ - Extracts text and images from PDF files. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - - Returns: - List of PDF-Content objects (text and images) with appropriate base64Encoded flags - """ - contents = [] - extractedContentFound = False - - try: - # Load PDF extraction libraries - _loadPdfExtractor() - if not pdfExtractorLoaded: - logger.warning("PDF extraction not possible: Libraries not available") - # Add original file as binary content - contents.append({ - "sequenceNr": 1, - "name": "1_pdf", # Simplified naming - "ext": "pdf", - "contentType": "application/pdf", - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "pdf" - } - }) - return contents - - # Extract text with PyPDF2 - extractedText = "" - pdfMetadata = {} - with io.BytesIO(fileContent) as pdfStream: - pdfReader = PyPDF2.PdfReader(pdfStream) - - # Extract metadata - pdfInfo = pdfReader.metadata or {} - for key, value in pdfInfo.items(): - if key.startswith('/'): - pdfMetadata[key[1:]] = value - else: - pdfMetadata[key] = value - - # Extract text from all pages - for pageNum in range(len(pdfReader.pages)): - page = pdfReader.pages[pageNum] - pageText = page.extract_text() - if pageText: - extractedText += f"--- Page {pageNum + 1} ---\n{pageText}\n\n" - - # If text was found, add as separate content - if extractedText.strip(): - extractedContentFound = True - contents.append({ - "sequenceNr": len(contents) + 1, - "name": f"{len(contents) + 1}_text", # Simplified naming - "ext": "txt", - "contentType": "text", - "data": extractedText, - "base64Encoded": False, - "metadata": { - "isText": True, - "source": "pdf", - "pages": len(pdfReader.pages), - "pdfMetadata": pdfMetadata - } - }) - - # Extract images with PyMuPDF (fitz) - try: - with io.BytesIO(fileContent) as pdfStream: - doc = fitz.open(stream=pdfStream, filetype="pdf") - imageCount = 0 - - for pageNum in range(len(doc)): - page = doc[pageNum] - imageList = page.get_images(full=True) - - for imgIndex, imgInfo in enumerate(imageList): - try: - imageCount += 1 - xref = imgInfo[0] - baseImage = doc.extract_image(xref) - imageBytes = baseImage["image"] - imageExt = baseImage["ext"] - - # Add image as content - encode as base64 - extractedContentFound = True - contents.append({ - "sequenceNr": len(contents) + 1, - "name": f"{len(contents) + 1}_image_page{pageNum+1}_{imgIndex+1}", # Simplified naming with label - "ext": imageExt, - "contentType": f"image/{imageExt}", - "data": base64.b64encode(imageBytes).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "source": "pdf", - "page": pageNum + 1, - "index": imgIndex - } - }) - except Exception as imgE: - logger.warning(f"Error extracting image {imgIndex} on page {pageNum + 1}: {str(imgE)}") - - # Close document - doc.close() - - except Exception as imgExtractE: - logger.warning(f"Error extracting images from PDF: {str(imgExtractE)}") - - except Exception as e: - logger.error(f"Error in PDF extraction: {str(e)}") - - # If no content was extracted, add the original PDF - if not extractedContentFound: - contents.append({ - "sequenceNr": 1, - "name": "1_pdf", # Simplified naming - "ext": "pdf", - "contentType": "application/pdf", - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "pdf" - } - }) - - return contents - -def extractWordContent(fileName: str, fileContent: bytes, mimeType: str) -> List[Dict[str, Any]]: - """ - Extracts text and images from Word documents. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - mimeType: MIME type of the file - - Returns: - List of Word-Content objects (text and possibly images) with appropriate base64Encoded flags - """ - contents = [] - extractedContentFound = False - - # Determine file extension - fileExtension = "docx" if mimeType == "application/vnd.openxmlformats-officedocument.wordprocessingml.document" else "doc" - - try: - # Load Office extraction libraries - _loadOfficeExtractor() - if not officeExtractorLoaded: - logger.warning("Word extraction not possible: Libraries not available") - # Add original file as binary content - contents.append({ - "sequenceNr": 1, - "name": "1_word", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "word" - } - }) - return contents - - # Only supports DOCX (newer format) - if mimeType == "application/vnd.openxmlformats-officedocument.wordprocessingml.document": - with io.BytesIO(fileContent) as docxStream: - doc = docx.Document(docxStream) - - # Extract text - fullText = [] - for para in doc.paragraphs: - fullText.append(para.text) - - # Extract tables - for table in doc.tables: - for row in table.rows: - rowText = [] - for cell in row.cells: - rowText.append(cell.text) - fullText.append(" | ".join(rowText)) - - extractedText = "\n\n".join(fullText) - - # Add extracted text as content - if extractedText.strip(): - extractedContentFound = True - contents.append({ - "sequenceNr": 1, - "name": "1_text", # Simplified naming - "ext": "txt", - "contentType": "text", - "data": extractedText, - "base64Encoded": False, - "metadata": { - "isText": True, - "source": "docx", - "paragraphCount": len(doc.paragraphs), - "tableCount": len(doc.tables) - } - }) - else: - logger.warning(f"Extraction from old Word format (DOC) not supported") - - except Exception as e: - logger.error(f"Error in Word extraction: {str(e)}") - - # If no content was extracted, add the original document - if not extractedContentFound: - contents.append({ - "sequenceNr": 1, - "name": "1_word", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "word" - } - }) - - return contents - -def extractExcelContent(fileName: str, fileContent: bytes, mimeType: str) -> List[Dict[str, Any]]: - """ - Extracts table data from Excel files. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - mimeType: MIME type of the file - - Returns: - List of Excel-Content objects with appropriate base64Encoded flags - """ - contents = [] - extractedContentFound = False - - # Determine file extension - fileExtension = "xlsx" if mimeType == "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" else "xls" - - try: - # Load Office extraction libraries - _loadOfficeExtractor() - if not officeExtractorLoaded: - logger.warning("Excel extraction not possible: Libraries not available") - # Add original file as binary content - contents.append({ - "sequenceNr": 1, - "name": "1_excel", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "excel" - } - }) - return contents - - # Only supports XLSX (newer format) - if mimeType == "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": - with io.BytesIO(fileContent) as xlsxStream: - workbook = openpyxl.load_workbook(xlsxStream, data_only=True) - - # Extract each worksheet as separate CSV content - for sheetIndex, sheetName in enumerate(workbook.sheetnames): - sheet = workbook[sheetName] - - # Format data as CSV - csvRows = [] - for row in sheet.iter_rows(): - csvRow = [] - for cell in row: - value = cell.value - if value is None: - csvRow.append("") - else: - csvRow.append(str(value).replace('"', '""')) - csvRows.append(','.join(f'"{cell}"' for cell in csvRow)) - - csvContent = "\n".join(csvRows) - - # Add as CSV content - if csvContent.strip(): - extractedContentFound = True - sheetSafeName = sheetName.replace(" ", "_").replace("/", "_").replace("\\", "_") - contents.append({ - "sequenceNr": len(contents) + 1, - "name": f"{len(contents) + 1}_csv_{sheetSafeName}", # Simplified naming with sheet label - "ext": "csv", - "contentType": "csv", - "data": csvContent, - "base64Encoded": False, - "metadata": { - "isText": True, - "source": "xlsx", - "sheet": sheetName, - "format": "csv" - } - }) - else: - logger.warning(f"Extraction from old Excel format (XLS) not supported") - - except Exception as e: - logger.error(f"Error in Excel extraction: {str(e)}") - - # If no content was extracted, add the original document - if not extractedContentFound: - contents.append({ - "sequenceNr": 1, - "name": "1_excel", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "excel" - } - }) - - return contents - -def extractPowerpointContent(fileName: str, fileContent: bytes, mimeType: str) -> List[Dict[str, Any]]: - """ - Extracts content from PowerPoint presentations. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - mimeType: MIME type of the file - - Returns: - List of PowerPoint-Content objects with base64Encoded = True - """ - # For PowerPoint, we currently only return the original binary file - # A complete extraction would require more specialized libraries - fileExtension = "pptx" if mimeType == "application/vnd.openxmlformats-officedocument.presentationml.presentation" else "ppt" - return [{ - "sequenceNr": 1, - "name": "1_powerpoint", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "powerpoint" - } - }] - -def extractBinaryContent(fileName: str, fileContent: bytes, mimeType: str) -> List[Dict[str, Any]]: - """ - Fallback for binary files where no specific extraction is possible. - - Args: - fileName: Name of the file - fileContent: Binary data of the file - mimeType: MIME type of the file - - Returns: - List with a binary Content object with base64Encoded = True - """ - fileExtension = os.path.splitext(fileName)[1][1:] if os.path.splitext(fileName)[1] else "bin" - return [{ - "sequenceNr": 1, - "name": "1_binary", # Simplified naming - "ext": fileExtension, - "contentType": mimeType, - "data": base64.b64encode(fileContent).decode('utf-8'), - "base64Encoded": True, - "metadata": { - "isText": False, - "format": "binary" - } - }] \ No newline at end of file diff --git a/static/128_lucydomInterface.py b/static/128_lucydomInterface.py deleted file mode 100644 index 50ae9fc1..00000000 --- a/static/128_lucydomInterface.py +++ /dev/null @@ -1,1343 +0,0 @@ -""" -Interface to LucyDOM database and AI Connectors. -Uses the JSON connector for data access with added language support. -""" - -import os -import logging -import uuid -from datetime import datetime -from typing import Dict, Any, List, Optional, Union - -import importlib -import hashlib - -from modules.mimeUtils import isTextMimeType, determineContentEncoding - -# DYNAMIC PART: Connectors to the Interface -from connectors.connectorDbJson import DatabaseConnector -from connectors.connectorAiOpenai import ChatService - -# Basic Configurations -from modules.configuration import APP_CONFIG -logger = logging.getLogger(__name__) - -# Custom exceptions for file handling -class FileError(Exception): - """Base class for file handling exceptions.""" - pass - -class FileNotFoundError(FileError): - """Exception raised when a file is not found.""" - pass - -class FileStorageError(FileError): - """Exception raised when there's an error storing a file.""" - pass - -class FilePermissionError(FileError): - """Exception raised when there's a permission issue with a file.""" - pass - -class FileDeletionError(FileError): - """Exception raised when there's an error deleting a file.""" - pass - - -class LucyDOMInterface: - """ - Interface to the LucyDOM database. - Uses the JSON connector for data access. - """ - - def __init__(self, mandateId: int, userId: int): - """ - Initializes the LucyDOM Interface with mandate and user context. - - Args: - mandateId: ID of the current mandate - userId: ID of the current user - """ - self.mandateId = mandateId - self.userId = userId - - # Add language settings - self.userLanguage = "en" # Default user language - self.aiService = None # Will be set externally - - # Import data model module - try: - self.modelModule = importlib.import_module("modules.lucydomModel") - logger.info("lucydomModel successfully imported") - except ImportError as e: - logger.error(f"Error importing lucydomModel: {e}") - raise - - # Initialize database if needed - self._initializeDatabase() - - def _initializeDatabase(self): - """ - Initializes the database with minimal objects for the logged-in user in the mandate, if it doesn't exist yet. - No initialization without a valid user. - Creates an initial dataset for each table defined in the data model. - """ - effectiveMandateId = self.mandateId - effectiveUserId = self.userId - if effectiveMandateId is None or effectiveUserId is None: - #data available - return - - self.db = DatabaseConnector( - dbHost=APP_CONFIG.get("DB_LUCYDOM_HOST"), - dbDatabase=APP_CONFIG.get("DB_LUCYDOM_DATABASE"), - dbUser=APP_CONFIG.get("DB_LUCYDOM_USER"), - dbPassword=APP_CONFIG.get("DB_LUCYDOM_PASSWORD_SECRET"), - mandateId=self.mandateId, - userId=self.userId, - skipInitialIdLookup=True - ) - - # Initialize standard prompts for different areas - prompts = self.db.getRecordset("prompts") - if not prompts: - logger.info("Creating standard prompts") - - # Define standard prompts - standardPrompts = [ - { - "mandateId": effectiveMandateId, - "userId": effectiveUserId, - "content": "Research the current market trends and developments in [TOPIC]. Collect information about leading companies, innovative products or services, and current challenges. Present the results in a structured overview with relevant data and sources.", - "name": "Web Research: Market Research" - }, - { - "mandateId": effectiveMandateId, - "userId": effectiveUserId, - "content": "Analyze the attached dataset on [TOPIC] and identify the most important trends, patterns, and anomalies. Perform statistical calculations to support your findings. Present the results in a clearly structured analysis and draw relevant conclusions.", - "name": "Analysis: Data Analysis" - }, - { - "mandateId": effectiveMandateId, - "userId": effectiveUserId, - "content": "Create a detailed protocol of our meeting on [TOPIC]. Capture all discussed points, decisions made, and agreed measures. Structure the protocol clearly with agenda items, participant list, and clear responsibilities for follow-up actions.", - "name": "Protocol: Meeting Minutes" - }, - { - "mandateId": effectiveMandateId, - "userId": effectiveUserId, - "content": "Develop a UI/UX design concept for [APPLICATION/WEBSITE]. Consider the target audience, main functions, and brand identity. Describe the visual design, navigation, interaction patterns, and information architecture. Explain how the design optimizes user-friendliness and user experience.", - "name": "Design: UI/UX Design" - }, - { - "mandateId": effectiveMandateId, - "userId": effectiveUserId, - "content": "Gib mir die ersten 1000 Primzahlen", - "name": "Code: Primzahlen" - } - ] - - # Create prompts - for promptData in standardPrompts: - createdPrompt = self.db.recordCreate("prompts", promptData) - logger.info(f"Prompt '{promptData.get('name', 'Standard')}' was created with ID {createdPrompt['id']}") - - # Language support methods - - def setUserLanguage(self, languageCode: str): - """Set the user's preferred language""" - self.userLanguage = languageCode - logger.info(f"User language set to: {languageCode}") - - async def callAi(self, messages: List[Dict[str, str]], produceUserAnswer: bool = False, temperature: float = None) -> str: - """ - Enhanced AI service call with language support - - Args: - messages: List of message dictionaries - produceUserAnswer: Whether this response is for the end-user - temperature: Optional temperature setting - - Returns: - AI response text - """ - if not self.aiService: - logger.error("AI service not set in LucyDOMInterface") - return "Error: AI service not available" - - # Add language instruction for user-facing responses - if produceUserAnswer and self.userLanguage: - ltext= f"Please respond in '{self.userLanguage}' language." - if messages and messages[0]["role"] == "system": - if "language" not in messages[0]["content"].lower(): - messages[0]["content"] = f"{ltext} {messages[0]['content']}" - else: - # Insert a system message with language instruction - messages.insert(0, { - "role": "system", - "content": ltext - }) - - # Call the AI service - if temperature is not None: - return await self.aiService.callApi(messages, temperature=temperature) - else: - return await self.aiService.callApi(messages) - - # Utilities - - def getInitialId(self, table: str) -> Optional[int]: - """ - Returns the initial ID for a table. - - Args: - table: Name of the table - - Returns: - The initial ID or None if not present - """ - return self.db.getInitialId(table) - - def _getCurrentTimestamp(self) -> str: - """Returns the current timestamp in ISO format""" - return datetime.now().isoformat() - - - # Prompt methods - - def getAllPrompts(self) -> List[Dict[str, Any]]: - """Returns all prompts for the current mandate""" - return self.db.getRecordset("prompts") - - def getPrompt(self, promptId: int) -> Optional[Dict[str, Any]]: - """Returns a prompt by its ID""" - prompts = self.db.getRecordset("prompts", recordFilter={"id": promptId}) - if prompts: - return prompts[0] - return None - - def createPrompt(self, content: str, name: str) -> Dict[str, Any]: - """Creates a new prompt""" - promptData = { - "mandateId": self.mandateId, - "userId": self.userId, - "content": content, - "name": name, - "createdAt": self._getCurrentTimestamp() - } - - return self.db.recordCreate("prompts", promptData) - - def updatePrompt(self, promptId: int, content: str = None, name: str = None) -> Dict[str, Any]: - """ - Updates an existing prompt - - Args: - promptId: ID of the prompt to update - content: New content for the prompt - - Returns: - The updated prompt object - """ - # Check if the prompt exists - prompt = self.getPrompt(promptId) - if not prompt: - return None - - # Prepare data for update - promptData = {} - - if content is not None: - promptData["content"] = content - if name is not None: - promptData["name"] = name - - # Update prompt - return self.db.recordModify("prompts", promptId, promptData) - - def deletePrompt(self, promptId: int) -> bool: - """ - Deletes a prompt from the database - - Args: - promptId: ID of the prompt to delete - - Returns: - True if the prompt was successfully deleted, otherwise False - """ - return self.db.recordDelete("prompts", promptId) - - - # File Utilities - - def calculateFileHash(self, fileContent: bytes) -> str: - """Calculates a SHA-256 hash for the file content""" - return hashlib.sha256(fileContent).hexdigest() - - def checkForDuplicateFile(self, fileHash: str) -> Optional[Dict[str, Any]]: - """Checks if a file with the same hash already exists""" - files = self.db.getRecordset("files", recordFilter={"fileHash": fileHash}) - if files: - return files[0] - return None - - def getMimeType(self, filename: str) -> str: - """Determines the MIME type based on the file extension""" - import os - ext = os.path.splitext(filename)[1].lower()[1:] - extensionToMime = { - "pdf": "application/pdf", - "docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - "doc": "application/msword", - "xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", - "xls": "application/vnd.ms-excel", - "pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation", - "ppt": "application/vnd.ms-powerpoint", - "csv": "text/csv", - "txt": "text/plain", - "json": "application/json", - "xml": "application/xml", - "html": "text/html", - "htm": "text/html", - "jpg": "image/jpeg", - "jpeg": "image/jpeg", - "png": "image/png", - "gif": "image/gif", - "webp": "image/webp", - "svg": "image/svg+xml", - "py": "text/x-python", - "js": "application/javascript", - "css": "text/css" - } - return extensionToMime.get(ext.lower(), "application/octet-stream") - - - # File methods - metadata-based operations - - def getAllFiles(self) -> List[Dict[str, Any]]: - """ - Returns all files for the current mandate without binary data. - - Returns: - List of FileItem objects without binary data - """ - files = self.db.getRecordset("files") - return files - - def getFile(self, fileId: int) -> Optional[Dict[str, Any]]: - """ - Returns a file by its ID, without binary data. - - Args: - fileId: ID of the file - - Returns: - FileItem without binary data or None if not found - """ - files = self.db.getRecordset("files", recordFilter={"id": fileId}) - if files: - return files[0] - return None - - def createFile(self, name: str, mimeType: str, size: int = None, fileHash: str = None) -> Dict[str, Any]: - """ - Creates a new file entry in the database without content. - The actual file content is stored separately in the FileData table. - - Args: - name: Name of the file - mimeType: MIME type of the file - size: Size of the file in bytes - fileHash: Hash value of the file for deduplication - - Returns: - The created FileItem object - """ - fileData = { - "mandateId": self.mandateId, - "userId": self.userId, - "name": name, - "mimeType": mimeType, - "size": size, - "fileHash": fileHash, - "creationDate": self._getCurrentTimestamp() - } - return self.db.recordCreate("files", fileData) - - def updateFile(self, fileId: int, updateData: Dict[str, Any]) -> Dict[str, Any]: - """ - Updates the metadata of an existing file without affecting the binary data. - - Args: - fileId: ID of the file to update - updateData: Dictionary with fields to update - - Returns: - The updated FileItem object - """ - # Check if the file exists - file = self.getFile(fileId) - if not file: - raise FileNotFoundError(f"File with ID {fileId} not found") - - # Update file - return self.db.recordModify("files", fileId, updateData) - - def deleteFile(self, fileId: int) -> bool: - """ - Deletes a file from the database (metadata and content). - - Args: - fileId: ID of the file - - Returns: - True on success, False on error - """ - try: - # Find the file in the database - file = self.getFile(fileId) - - if not file: - raise FileNotFoundError(f"File with ID {fileId} not found") - - # Check if the file belongs to the current mandate - if file.get("mandateId") != self.mandateId: - raise FilePermissionError(f"No permission to delete file {fileId}") - - # Check for other references to this file (by hash) - fileHash = file.get("fileHash") - if fileHash: - otherReferences = [f for f in self.db.getRecordset("files", recordFilter={"fileHash": fileHash}) - if f.get("id") != fileId] - - # If other files reference this content, only delete the database entry for FileItem - if otherReferences: - logger.info(f"Other references to the file content found, only FileItem will be deleted: {fileId}") - else: - # Also delete the file content in the FileData table - try: - fileDataEntries = self.db.getRecordset("fileData", recordFilter={"id": fileId}) - if fileDataEntries: - self.db.recordDelete("fileData", fileId) - logger.info(f"FileData for file {fileId} deleted") - except Exception as e: - logger.warning(f"Error deleting FileData for file {fileId}: {str(e)}") - - # Delete the FileItem entry - return self.db.recordDelete("files", fileId) - - except FileNotFoundError as e: - # Pass through FileNotFoundError - raise - except FilePermissionError as e: - # Pass through FilePermissionError - raise - except Exception as e: - logger.error(f"Error deleting file {fileId}: {str(e)}") - raise FileDeletionError(f"Error deleting file: {str(e)}") - - - # FileData methods - data operations - - """ - This contains the modified file handling methods for the LucyDOMInterface class - to implement consistent handling of base64 encoding flags. - """ - - def createFileData(self, fileId: int, data: bytes) -> bool: - """ - Stores the binary data of a file in the database, using base64 encoding for binary files. - Always sets the base64Encoded flag appropriately. - - Args: - fileId: ID of the associated file - data: Binary data - - Returns: - True on success, False on error - """ - try: - import base64 - - # Check the file metadata to determine if this should be stored as text or base64 - file = self.getFile(fileId) - if not file: - logger.error(f"File with ID {fileId} not found when storing data") - return False - - # Determine if this is a text-based format that should be stored as text - mimeType = file.get("mimeType", "application/octet-stream") - isTextFormat = isTextMimeType(mimeType) - - base64Encoded = False - fileData = None - - if isTextFormat: - # Try to decode as text - try: - # Convert bytes to text - textContent = data.decode('utf-8') - fileData = textContent - base64Encoded = False - logger.debug(f"Stored file {fileId} as text") - except UnicodeDecodeError: - # Fallback to base64 if text decoding fails - encodedData = base64.b64encode(data).decode('utf-8') - fileData = encodedData - base64Encoded = True - logger.warning(f"Failed to decode text file {fileId}, falling back to base64") - else: - # Binary format - always use base64 - encodedData = base64.b64encode(data).decode('utf-8') - fileData = encodedData - base64Encoded = True - logger.debug(f"Stored file {fileId} as base64") - - # Create the fileData record with data and encoding flag - fileDataObj = { - "id": fileId, - "data": fileData, - "base64Encoded": base64Encoded - } - - self.db.recordCreate("fileData", fileDataObj) - logger.info(f"Successfully stored data for file {fileId} (base64Encoded: {base64Encoded})") - return True - except Exception as e: - logger.error(f"Error storing data for file {fileId}: {str(e)}") - return False - - def getFileData(self, fileId: int) -> Optional[bytes]: - """ - Returns the binary data of a file. - Uses the base64Encoded flag to determine if decoding is necessary. - - Args: - fileId: ID of the file - - Returns: - Binary data or None if not found - """ - import base64 - - fileDataEntries = self.db.getRecordset("fileData", recordFilter={"id": fileId}) - if not fileDataEntries: - logger.warning(f"No data found for file ID {fileId}") - return None - - fileDataEntry = fileDataEntries[0] - if "data" not in fileDataEntry: - logger.warning(f"No data field in file data for ID {fileId}") - return None - - data = fileDataEntry["data"] - base64Encoded = fileDataEntry.get("base64Encoded", False) - - try: - if base64Encoded: - # Decode base64 to bytes - return base64.b64decode(data) - else: - # Convert text to bytes - return data.encode('utf-8') - except Exception as e: - logger.error(f"Error processing file data for {fileId}: {str(e)}") - return None - - def updateFileData(self, fileId: int, data: Union[bytes, str]) -> bool: - """ - Updates the binary data of a file in the database. - Handles base64 encoding based on the file type. - - Args: - fileId: ID of the file - data: New binary data or text content - - Returns: - True on success, False on error - """ - try: - import base64 - - # Check file metadata to determine if this should be stored as text or base64 - file = self.getFile(fileId) - if not file: - logger.error(f"File with ID {fileId} not found when updating data") - return False - - # Determine if this is a text-based format that should be stored as text - mimeType = file.get("mimeType", "application/octet-stream") - isTextFormat = ( - mimeType.startswith("text/") or - mimeType in [ - "application/json", - "application/xml", - "application/javascript", - "application/x-python", - "image/svg+xml" - ] - ) - - base64Encoded = False - fileData = None - - # Convert input data to the right format based on its type and the file's format - if isinstance(data, bytes): - if isTextFormat: - try: - # Try to convert bytes to text - fileData = data.decode('utf-8') - base64Encoded = False - except UnicodeDecodeError: - # Fallback to base64 if text decoding fails - fileData = base64.b64encode(data).decode('utf-8') - base64Encoded = True - else: - # Binary format - use base64 - fileData = base64.b64encode(data).decode('utf-8') - base64Encoded = True - elif isinstance(data, str): - if isTextFormat: - # Text format - store as text - fileData = data - base64Encoded = False - else: - # Check if it's already base64 encoded - try: - # Try to decode as base64 to validate - base64.b64decode(data) - fileData = data - base64Encoded = True - except: - # Not valid base64, encode the string - fileData = base64.b64encode(data.encode('utf-8')).decode('utf-8') - base64Encoded = True - else: - # Convert to string first - stringData = str(data) - if isTextFormat: - fileData = stringData - base64Encoded = False - else: - fileData = base64.b64encode(stringData.encode('utf-8')).decode('utf-8') - base64Encoded = True - - # Check if a record already exists - fileDataEntries = self.db.getRecordset("fileData", recordFilter={"id": fileId}) - - dataUpdate = { - "data": fileData, - "base64Encoded": base64Encoded - } - - if fileDataEntries: - # Update the existing record - self.db.recordModify("fileData", fileId, dataUpdate) - logger.info(f"Updated file data for file ID {fileId} (base64Encoded: {base64Encoded})") - else: - # Create a new record - dataUpdate["id"] = fileId - self.db.recordCreate("fileData", dataUpdate) - logger.info(f"Created new file data for file ID {fileId} (base64Encoded: {base64Encoded})") - - return True - except Exception as e: - logger.error(f"Error updating data for file {fileId}: {str(e)}") - return False - - def saveUploadedFile(self, fileContent: bytes, fileName: str) -> Dict[str, Any]: - """ - Saves an uploaded file in the database. - Metadata is stored in the 'files' table, - Binary data in the 'fileData' table with the appropriate base64Encoded flag. - - Args: - fileContent: Binary data of the file - fileName: Name of the file - - Returns: - Dictionary with metadata of the saved file - """ - try: - # Debug: Log the start of the file upload process - logger.info(f"Starting upload process for file: {fileName}") - - # Debug: Check if fileContent is valid bytes - if not isinstance(fileContent, bytes): - logger.error(f"Invalid fileContent type: {type(fileContent)}") - raise ValueError(f"fileContent must be bytes, got {type(fileContent)}") - - # Calculate file hash for deduplication - fileHash = self.calculateFileHash(fileContent) - logger.debug(f"Calculated file hash: {fileHash}") - - # Check for duplicate - existingFile = self.checkForDuplicateFile(fileHash) - if existingFile: - # Simply return the existing file metadata - logger.info(f"Duplicate found for {fileName}: {existingFile['id']}") - return existingFile - - # Determine MIME type - mimeType = self.getMimeType(fileName) - - # Determine file size - fileSize = len(fileContent) - - # 1. Save metadata in the 'files' table - logger.info(f"Saving file metadata to database for file: {fileName}") - dbFile = self.createFile( - name=fileName, - mimeType=mimeType, - size=fileSize, - fileHash=fileHash - ) - - # 2. Save binary data with appropriate base64 encoding based on file type - logger.info(f"Saving file content to database for file: {fileName}") - self.createFileData(dbFile["id"], fileContent) - - # Debug: Export file to static folder - self._exportFileToStatic(fileContent, dbFile["id"], fileName) # DEBUG TODO - - # Debug: Verify database record was created - if not dbFile: - logger.warning(f"Database record for file {fileName} was not created properly") - else: - logger.debug(f"Database record created for file {fileName}") - - logger.info(f"File upload process completed for: {fileName}") - return dbFile - - except Exception as e: - logger.error(f"Error in saveUploadedFile for {fileName}: {str(e)}", exc_info=True) - raise FileStorageError(f"Error saving file: {str(e)}") - - def downloadFile(self, fileId: int) -> Optional[Dict[str, Any]]: - """ - Returns a file for download, including binary data. - Uses the base64Encoded flag to determine how to process the file data. - - Args: - fileId: ID of the file - - Returns: - Dictionary with file data and metadata or None if not found - """ - try: - # 1. Get metadata from the 'files' table - file = self.getFile(fileId) - - if not file: - raise FileNotFoundError(f"File with ID {fileId} not found") - - # 2. Get binary data from the 'fileData' table using the new flag-aware method - fileContent = self.getFileData(fileId) - - if fileContent is None: - raise FileNotFoundError(f"Binary data for file with ID {fileId} not found") - - return { - "id": fileId, - "name": file.get("name", f"file_{fileId}"), - "contentType": file.get("mimeType", "application/octet-stream"), - "size": file.get("size", len(fileContent)), - "content": fileContent - } - except FileNotFoundError as e: - # Re-raise FileNotFoundError as is - raise - except Exception as e: - logger.error(f"Error downloading file {fileId}: {str(e)}") - raise FileError(f"Error downloading file: {str(e)}") - - def _exportFileToStatic(self, fileContent: bytes, fileId: int, fileName: str): - debugFilename = f"{fileId}_{fileName}" - with open(f"./static/{debugFilename}", 'wb') as f: - f.write(fileContent) - - # Workflow methods - - def getAllWorkflows(self) -> List[Dict[str, Any]]: - """Returns all workflows for the current mandate""" - return self.db.getRecordset("workflows") - - def getWorkflowsByUser(self, userId: int) -> List[Dict[str, Any]]: - """Returns all workflows for a user""" - return self.db.getRecordset("workflows", recordFilter={"userId": userId}) - - def getWorkflow(self, workflowId: str) -> Optional[Dict[str, Any]]: - """Returns a workflow by its ID""" - workflows = self.db.getRecordset("workflows", recordFilter={"id": workflowId}) - if workflows: - return workflows[0] - return None - - def createWorkflow(self, workflowData: Dict[str, Any]) -> Dict[str, Any]: - """Creates a new workflow in the database""" - # Make sure mandateId and userId are set - if "mandateId" not in workflowData: - workflowData["mandateId"] = self.mandateId - - if "userId" not in workflowData: - workflowData["userId"] = self.userId - - # Set timestamp if not present - currentTime = self._getCurrentTimestamp() - if "startedAt" not in workflowData: - workflowData["startedAt"] = currentTime - - if "lastActivity" not in workflowData: - workflowData["lastActivity"] = currentTime - - return self.db.recordCreate("workflows", workflowData) - - def updateWorkflow(self, workflowId: str, workflowData: Dict[str, Any]) -> Dict[str, Any]: - """ - Updates an existing workflow. - - Args: - workflowId: ID of the workflow to update - workflowData: New data for the workflow - - Returns: - The updated workflow object - """ - # Check if the workflow exists - workflow = self.getWorkflow(workflowId) - if not workflow: - return None - - # Set update time - workflowData["lastActivity"] = self._getCurrentTimestamp() - - # Update workflow - return self.db.recordModify("workflows", workflowId, workflowData) - - def deleteWorkflow(self, workflowId: str) -> bool: - """ - Deletes a workflow from the database. - - Args: - workflowId: ID of the workflow to delete - - Returns: - True on success, False if the workflow doesn't exist - """ - # Check if the workflow exists - workflow = self.getWorkflow(workflowId) - if not workflow: - return False - - # Check if the user is the owner or has admin rights - if workflow.get("userId") != self.userId: - # Here could be a check for admin rights - return False - - # Delete workflow - return self.db.recordDelete("workflows", workflowId) - - - # Workflow Messages - - def getWorkflowMessages(self, workflowId: str) -> List[Dict[str, Any]]: - """Returns all messages of a workflow""" - return self.db.getRecordset("workflowMessages", recordFilter={"workflowId": workflowId}) - - def createWorkflowMessage(self, messageData: Dict[str, Any]) -> Dict[str, Any]: - """ - Creates a new message for a workflow. - - Args: - messageData: The message data - - Returns: - The created message or None on error - """ - try: - # Check if required fields are present - requiredFields = ["id", "workflowId"] - for field in requiredFields: - if field not in messageData: - logger.error(f"Required field '{field}' missing in messageData") - raise ValueError(f"Required field '{field}' missing in message data") - - # Validate that ID is not None - if messageData["id"] is None: - messageData["id"] = f"msg_{uuid.uuid4()}" - logger.warning(f"Automatically generated ID for workflow message: {messageData['id']}") - - # Ensure required fields are present - if "startedAt" not in messageData and "createdAt" not in messageData: - messageData["startedAt"] = self._getCurrentTimestamp() - - if "createdAt" in messageData and "startedAt" not in messageData: - messageData["startedAt"] = messageData["createdAt"] - del messageData["createdAt"] - - # Set status if not present - if "status" not in messageData: - messageData["status"] = "completed" - - # Set sequence number if not present - if "sequenceNo" not in messageData: - # Get current messages to determine next sequence number - existingMessages = self.getWorkflowMessages(messageData["workflowId"]) - messageData["sequenceNo"] = len(existingMessages) + 1 - - # Ensure role and agentName are present - if "role" not in messageData: - messageData["role"] = "assistant" if messageData.get("agentName") else "user" - - if "agentName" not in messageData: - messageData["agentName"] = "" - - # Debug log for data to create - logger.debug(f"Creating workflow message with data: {messageData}") - - # Create message in database - createdMessage = self.db.recordCreate("workflowMessages", messageData) - - # Update workflow's messageIds if this is a new message - if createdMessage: - workflowId = messageData["workflowId"] - workflow = self.getWorkflow(workflowId) - - if workflow: - # Get current messageIds or initialize empty list - messageIds = workflow.get("messageIds", []) - - # Add the new message ID if not already in the list - if createdMessage["id"] not in messageIds: - messageIds.append(createdMessage["id"]) - self.updateWorkflow(workflowId, {"messageIds": messageIds}) - - return createdMessage - except Exception as e: - logger.error(f"Error creating workflow message: {str(e)}") - # Return None instead of raising to avoid cascading failures - return None - - def updateWorkflowMessage(self, messageId: str, messageData: Dict[str, Any]) -> Dict[str, Any]: - """ - Updates an existing workflow message in the database. - - Args: - messageId: ID of the message - messageData: Data to update - - Returns: - The updated message object or None on error - """ - try: - # Debug info - logger.debug(f"Updating message {messageId} in database") - - # Ensure messageId is provided - if not messageId: - logger.error("No messageId provided for updateWorkflowMessage") - raise ValueError("messageId cannot be empty") - - # Check if message exists in database - messages = self.db.getRecordset("workflowMessages", recordFilter={"id": messageId}) - if not messages: - logger.warning(f"Message with ID {messageId} does not exist in database") - - # If message doesn't exist but we have workflowId, create it - if "workflowId" in messageData: - logger.info(f"Creating new message with ID {messageId} for workflow {messageData.get('workflowId')}") - return self.db.recordCreate("workflowMessages", messageData) - else: - logger.error(f"Workflow ID missing for new message {messageId}") - return None - - # Update existing message - existingMessage = messages[0] - - # Ensure required fields present - for key in ["role", "agentName"]: - if key not in messageData and key not in existingMessage: - messageData[key] = "assistant" if key == "role" else "" - - # Ensure ID is in the dataset - if 'id' not in messageData: - messageData['id'] = messageId - - # Convert createdAt to startedAt if needed - if "createdAt" in messageData and "startedAt" not in messageData: - messageData["startedAt"] = messageData["createdAt"] - del messageData["createdAt"] - - # Update the message - updatedMessage = self.db.recordModify("workflowMessages", messageId, messageData) - if updatedMessage: - logger.info(f"Message {messageId} updated successfully") - else: - logger.warning(f"Failed to update message {messageId}") - - return updatedMessage - except Exception as e: - logger.error(f"Error updating message {messageId}: {str(e)}", exc_info=True) - # Re-raise with full information - raise ValueError(f"Error updating message {messageId}: {str(e)}") - - def deleteWorkflowMessage(self, workflowId: str, messageId: str) -> bool: - """ - Deletes a message from a workflow in the database. - - Args: - workflowId: ID of the associated workflow - messageId: ID of the message to delete - - Returns: - True on success, False on error - """ - try: - # Check if the message exists - messages = self.getWorkflowMessages(workflowId) - message = next((m for m in messages if m.get("id") == messageId), None) - - if not message: - logger.warning(f"Message {messageId} for workflow {workflowId} not found") - return False - - # Delete the message from the database - return self.db.recordDelete("workflowMessages", messageId) - except Exception as e: - logger.error(f"Error deleting message {messageId}: {str(e)}") - return False - - def deleteFileFromMessage(self, workflowId: str, messageId: str, fileId: int) -> bool: - """ - Removes a file reference from a message. - The file itself is not deleted, only the reference in the message. - Enhanced version with improved file matching. - - Args: - workflowId: ID of the associated workflow - messageId: ID of the message - fileId: ID of the file to remove - - Returns: - True on success, False on error - """ - try: - # Log operation - logger.info(f"Removing file {fileId} from message {messageId} in workflow {workflowId}") - - # Get all workflow messages - allMessages = self.getWorkflowMessages(workflowId) - logger.debug(f"Workflow {workflowId} has {len(allMessages)} messages") - - # Try different approaches to find the message - message = None - - # Exact match - message = next((m for m in allMessages if m.get("id") == messageId), None) - - # Case-insensitive match - if not message and isinstance(messageId, str): - message = next((m for m in allMessages - if isinstance(m.get("id"), str) and m.get("id").lower() == messageId.lower()), None) - - # Partial match (starts with) - if not message and isinstance(messageId, str): - message = next((m for m in allMessages - if isinstance(m.get("id"), str) and m.get("id").startswith(messageId)), None) - - if not message: - logger.warning(f"Message {messageId} not found in workflow {workflowId}") - return False - - # Log the found message - logger.info(f"Found message: {message.get('id')}") - - # Check if message has documents - if "documents" not in message or not message["documents"]: - logger.warning(f"No documents in message {messageId}") - return False - - # Log existing documents - documents = message.get("documents", []) - logger.debug(f"Message has {len(documents)} documents") - for i, doc in enumerate(documents): - docId = doc.get("id", "unknown") - fileIdValue = doc.get("fileId", "unknown") - logger.debug(f"Document {i}: docId={docId}, fileId={fileIdValue}") - - # Create a new list of documents without the one to delete - updatedDocuments = [] - removed = False - - for doc in documents: - docId = doc.get("id") - fileIdValue = doc.get("fileId") - - # Flexible matching approach - shouldRemove = ( - (docId == fileId) or - (fileIdValue == fileId) or - (isinstance(docId, str) and str(fileId) in docId) or - (isinstance(fileIdValue, str) and str(fileId) in fileIdValue) - ) - - if shouldRemove: - removed = True - logger.info(f"Found file to remove: docId={docId}, fileId={fileIdValue}") - else: - updatedDocuments.append(doc) - - if not removed: - logger.warning(f"No matching file {fileId} found in message {messageId}") - return False - - # Update message with modified documents array - messageUpdate = { - "documents": updatedDocuments - } - - # Apply the update directly to the database - updated = self.db.recordModify("workflowMessages", message["id"], messageUpdate) - - if updated: - logger.info(f"Successfully removed file {fileId} from message {messageId}") - return True - else: - logger.warning(f"Failed to update message {messageId} in database") - return False - - except Exception as e: - logger.error(f"Error removing file {fileId} from message {messageId}: {str(e)}") - return False - - - # Workflow Logs - - def getWorkflowLogs(self, workflowId: str) -> List[Dict[str, Any]]: - """Returns all log entries for a workflow""" - return self.db.getRecordset("workflowLogs", recordFilter={"workflowId": workflowId}) - - def createWorkflowLog(self, logData: Dict[str, Any]) -> Dict[str, Any]: - """Creates a new log entry for a workflow""" - # Make sure required fields are present - if "timestamp" not in logData: - logData["timestamp"] = self._getCurrentTimestamp() - - # Add status information if not present - if "status" not in logData and "type" in logData: - if logData["type"] == "error": - logData["status"] = "error" - else: - logData["status"] = "running" - - # Add progress information if not present - if "progress" not in logData: - # Default progress values based on log type - if logData.get("type") == "info": - logData["progress"] = 50 # Default middle progress - elif logData.get("type") == "error": - logData["progress"] = -1 # Error state - elif logData.get("type") == "warning": - logData["progress"] = 50 # Default middle progress - - return self.db.recordCreate("workflowLogs", logData) - - - # Workflow Management - - def saveWorkflowState(self, workflow: Dict[str, Any], saveMessages: bool = True, saveLogs: bool = True) -> bool: - """ - Saves the state of a workflow to the database. - Workflow data is updated, but messages are stored separately. - - Args: - workflow: The workflow object - saveMessages: Flag to determine if messages should be saved - saveLogs: Flag to determine if logs should be saved - - Returns: - True on success, False on failure - """ - try: - workflowId = workflow.get("id") - if not workflowId: - return False - - # Extract only the database-relevant workflow fields - # IMPORTANT: Don't store messages in the workflow table! - workflowDbData = { - "id": workflowId, - "mandateId": workflow.get("mandateId", self.mandateId), - "userId": workflow.get("userId", self.userId), - "name": workflow.get("name", f"Workflow {workflowId}"), - "status": workflow.get("status", "completed"), - "startedAt": workflow.get("startedAt", self._getCurrentTimestamp()), - "lastActivity": workflow.get("lastActivity", self._getCurrentTimestamp()), - "dataStats": workflow.get("dataStats", {}) - } - - # Check if workflow already exists - existingWorkflow = self.getWorkflow(workflowId) - if existingWorkflow: - self.updateWorkflow(workflowId, workflowDbData) - else: - self.createWorkflow(workflowDbData) - - # Save messages - if saveMessages and "messages" in workflow: - for message in workflow["messages"]: - messageId = message.get("id") - if not messageId: - continue - - # Since each message is already saved with createWorkflowMessage, - # we only need to check if updates are necessary - # First, get existing message from database - existingMessages = self.getWorkflowMessages(workflowId) - existingMessage = next((m for m in existingMessages if m.get("id") == messageId), None) - - if existingMessage: - # Check if updates are needed - hasChanges = False - for key in ["role", "agentName", "content", "status", "documents"]: - if key in message and message.get(key) != existingMessage.get(key): - hasChanges = True - break - - if hasChanges: - # Extract only relevant data for the database - messageData = { - "role": message.get("role", existingMessage.get("role", "unknown")), - "content": message.get("content", existingMessage.get("content", "")), - "agentName": message.get("agentName", existingMessage.get("agentName", "")), - "status": message.get("status", existingMessage.get("status", "completed")), - "documents": message.get("documents", existingMessage.get("documents", [])) - } - self.updateWorkflowMessage(messageId, messageData) - else: - # Message doesn't exist in database yet - # It should have been saved via createWorkflowMessage - # If not, log a warning - logger.warning(f"Message {messageId} in workflow {workflowId} not found in database") - - # Save logs - if saveLogs and "logs" in workflow: - # Get existing logs - existingLogs = {log["id"]: log for log in self.getWorkflowLogs(workflowId)} - - for log in workflow["logs"]: - logId = log.get("id") - if not logId: - continue - - # Extract only relevant data for the database - logData = { - "id": logId, - "workflowId": workflowId, - "message": log.get("message", ""), - "type": log.get("type", "info"), - "timestamp": log.get("timestamp", self._getCurrentTimestamp()), - "agentName": log.get("agentName", "(undefined)"), - "status": log.get("status", "running"), - "progress": log.get("progress", 50) - } - - # Create or update log - if logId in existingLogs: - self.db.recordModify("workflowLogs", logId, logData) - else: - self.db.recordCreate("workflowLogs", logData) - - return True - except Exception as e: - logger.error(f"Error saving workflow state: {str(e)}") - return False - - def loadWorkflowState(self, workflowId: str) -> Optional[Dict[str, Any]]: - """ - Loads the complete state of a workflow from the database. - This includes the workflow itself, messages, and logs. - - Args: - workflowId: ID of the workflow to load - - Returns: - The complete workflow object or None on error - """ - try: - # Load base workflow - workflow = self.getWorkflow(workflowId) - if not workflow: - return None - - # Log the workflow base retrieval - logger.debug(f"Loaded base workflow {workflowId} from database") - - # Load messages - messages = self.getWorkflowMessages(workflowId) - # Sort by sequence number - messages.sort(key=lambda x: x.get("sequenceNo", 0)) - - # Debug log for messages and document counts - messageCount = len(messages) - logger.debug(f"Loaded {messageCount} messages for workflow {workflowId}") - - # Check if messageIds exists and is valid - messageIds = workflow.get("messageIds", []) - if not messageIds or len(messageIds) != len(messages): - # Rebuild messageIds from messages - messageIds = [msg.get("id") for msg in messages] - # Update in database - self.updateWorkflow(workflowId, {"messageIds": messageIds}) - logger.info(f"Rebuilt messageIds for workflow {workflowId}") - - # Log document counts for each message - for msg in messages: - docCount = len(msg.get("documents", [])) - if docCount > 0: - logger.info(f"Message {msg.get('id')} has {docCount} documents loaded from database") - - # Load logs - logs = self.getWorkflowLogs(workflowId) - # Sort by timestamp - logs.sort(key=lambda x: x.get("timestamp", "")) - - # Assemble complete workflow object - completeWorkflow = workflow.copy() - completeWorkflow["messages"] = messages - completeWorkflow["messageIds"] = messageIds # Ensure messageIds is included - completeWorkflow["logs"] = logs - - return completeWorkflow - except Exception as e: - logger.error(f"Error loading workflow state: {str(e)}") - return None - - -# Singleton factory for LucyDOMInterface instances per context -_lucydomInterfaces = {} - -def getLucydomInterface(mandateId: int = 0, userId: int = 0) -> LucyDOMInterface: - """ - Returns a LucyDOMInterface instance for the specified context. - Reuses existing instances. - - Args: - mandateId: ID of the mandate - userId: ID of the user - - Returns: - LucyDOMInterface instance - """ - contextKey = f"{mandateId}_{userId}" - if contextKey not in _lucydomInterfaces: - # Create new interface instance - interface = LucyDOMInterface(mandateId, userId) - # Initialize AI service - aiService = ChatService() - interface.aiService = aiService # Directly set the attribute - _lucydomInterfaces[contextKey] = interface - return _lucydomInterfaces[contextKey] - -# Init -getLucydomInterface() \ No newline at end of file diff --git a/static/129_mimeUtils.py b/static/129_mimeUtils.py deleted file mode 100644 index 9c70cd60..00000000 --- a/static/129_mimeUtils.py +++ /dev/null @@ -1,67 +0,0 @@ -""" -Utility functions for MIME type handling and file format determination. -""" - -def isTextMimeType(mimeType: str) -> bool: - """ - Determines if a MIME type represents a text format that should not be base64 encoded. - - Args: - mimeType: The MIME type to check - - Returns: - True if the content is a text format, False otherwise - """ - return ( - mimeType.startswith("text/") or - mimeType in [ - "application/json", - "application/xml", - "application/javascript", - "application/x-python", - "image/svg+xml" - ] - ) - -def determineContentEncoding(fileName: str, content: any, mimeType: str = None) -> bool: - """ - Determines if content should be base64 encoded based on file type and MIME type. - - Args: - fileName: Name of the file including extension - content: The content of the file - mimeType: Optional MIME type of the content - - Returns: - True if content should be base64 encoded, False otherwise - """ - # If MIME type is provided, use it for determination - if mimeType: - if isTextMimeType(mimeType): - return False if isinstance(content, str) else True - - # Import here to avoid circular imports - import os - - # Extract file extension - _, extension = os.path.splitext(fileName) - extension = extension.lower().lstrip('.') - - # Determine if we should base64 encode based on file type - text_extensions = {'txt', 'csv', 'json', 'xml', 'html', 'md', 'svg', 'js', 'css', 'py'} - - # If it's a text format and content is a string, don't base64 encode - if extension in text_extensions and isinstance(content, str): - return False - - # For binary formats, always base64 encode - binary_extensions = {'jpg', 'jpeg', 'png', 'gif', 'pdf', 'doc', 'docx', 'xls', 'xlsx', 'zip', 'rar'} - if extension in binary_extensions: - return True - - # If content is bytes, base64 encode regardless of extension - if isinstance(content, bytes): - return True - - # Default for unknown types - return not isinstance(content, str) \ No newline at end of file diff --git a/static/130_system_documentation.md b/static/130_system_documentation.md deleted file mode 100644 index af69aa13..00000000 --- a/static/130_system_documentation.md +++ /dev/null @@ -1,608 +0,0 @@ -# Comprehensive System Documentation for Workflow Management - -# Introduction - -Welcome to the "Comprehensive System Documentation for Workflow Management." This manual serves as an essential resource for technical professionals seeking an in-depth understanding of our workflow management system. It is meticulously crafted to provide clarity and insight into the system's architecture, functionality, and operational intricacies. - -## Purpose and Scope - -The primary purpose of this document is to offer a detailed exposition of the workflow management system, focusing on its state machine design, system architecture, and error handling mechanisms. This manual aims to equip system architects, developers, and technical analysts with the knowledge required to effectively utilize, maintain, and enhance the system. - -## Context and Background - -In today's fast-paced digital environment, efficient workflow management is crucial for optimizing business processes and ensuring seamless operations. Our system is designed to address these needs by providing a robust framework that supports dynamic state transitions and error resilience. By leveraging state machine principles, the system ensures that workflows are executed consistently and reliably, adapting to various operational scenarios. - -## Document Outline - -Readers will find a comprehensive exploration of the following key topics: - -- **State Machine**: An in-depth analysis of the state machine model employed within the system, detailing its role in managing workflow states and transitions. -- **Workflow Management**: A thorough examination of the workflow management processes, including task orchestration and process automation. -- **System Architecture**: A detailed overview of the system's architectural design, highlighting the components and their interactions. -- **Error Handling**: Insights into the error handling strategies implemented to ensure system robustness and reliability. - -Each section is designed to provide technical insights and practical guidance, supported by code examples and diagrams where applicable. - -## Tone and Audience - -This manual is written in a formal tone, tailored for a technical audience with a foundational understanding of system design and workflow management principles. It aims to engage readers by presenting complex information in a structured and accessible manner, facilitating a deeper comprehension of the system's capabilities and potential applications. - -We trust that this documentation will serve as a valuable tool in your technical endeavors, enhancing your ability to leverage our workflow management system to its fullest potential. - -# Introduction - -## Overview of the System - -The Workflow Management System is a sophisticated software solution designed to streamline and automate the management of backend chat workflows. At its core, the system employs a state machine-based approach, allowing for efficient handling of complex workflow processes. This system is integral to ensuring that chat interactions are processed in a structured and consistent manner, thereby enhancing operational efficiency and user satisfaction. - -The system's architecture is modular, with the **Workflow Manager Module** serving as the central component. This module is responsible for initializing workflows, managing their states, and ensuring seamless transitions between different stages of the workflow. By leveraging unique identifiers such as workflow ID, mandate ID, and user ID, the system ensures precise tracking and management of each workflow instance. - -## Purpose of the Documentation - -This documentation serves as a comprehensive guide for technical users who are involved in the development, maintenance, and optimization of the Workflow Management System. It aims to provide detailed insights into the system's architecture, functionality, and interconnections between various components. By offering a thorough understanding of the system, this manual facilitates effective troubleshooting, customization, and enhancement of the workflow management processes. - -Key objectives of this documentation include: - -- Providing a detailed description of the system's components and their interactions. -- Offering guidance on the initialization and management of workflows. -- Explaining the state machine approach and its application within the system. -- Assisting technical users in identifying and resolving potential issues. - -## Scope and Limitations - -### Scope - -This documentation covers all aspects of the Workflow Management System, with a focus on the **workflowManager.py** module. It includes: - -- Detailed descriptions of the system's architecture and components. -- Step-by-step instructions for initializing and managing workflows. -- An explanation of the state machine methodology and its implementation. -- Examples and scenarios illustrating typical workflow processes. - -### Limitations - -While this documentation provides an extensive overview of the Workflow Management System, it is important to note the following limitations: - -- It does not cover external systems or integrations that may interact with the workflow management processes. -- The documentation assumes a foundational understanding of state machines and workflow management principles. -- It does not provide exhaustive coverage of every potential use case or customization scenario. - -By understanding the scope and limitations outlined above, users can effectively utilize this documentation to enhance their interaction with the Workflow Management System, ensuring optimal performance and reliability. - -# System Architecture - -The System Architecture section provides a detailed overview of the structural design of the Workflow Management System. This section aims to elucidate the components, their interactions, and the data flow within the system, offering a comprehensive understanding for technical audiences. - -## Component Overview - -The Workflow Management System is designed around a modular architecture, primarily leveraging a state machine-based approach to manage backend chat workflows. Below is a detailed description of the core components: - -### Workflow Manager Module - -- **Purpose**: The Workflow Manager is the central component responsible for orchestrating chat workflows. It utilizes a state machine to ensure that workflows progress through predefined states in a controlled manner. - -- **Functionality**: - - **Workflow Initialization**: This sub-component is responsible for initializing new workflows or loading existing ones. It assigns unique identifiers such as workflow ID, mandate ID, and user ID, ensuring each workflow instance is distinct and traceable. - - **State Management**: Manages transitions between different states of the workflow, ensuring that each step is executed in the correct sequence. - - **Event Handling**: Listens for and processes events that trigger state transitions, maintaining the integrity and continuity of the workflow. - -### Interaction with Other Components - -- **Database Interface**: The Workflow Manager interacts with a database to persist workflow states and retrieve necessary data. This ensures that workflows can be paused and resumed without loss of information. - -- **User Interface**: Provides feedback and updates to the user interface, allowing users to monitor the progress of workflows and receive notifications about state changes. - -- **External Services**: Integrates with external services for tasks such as authentication, notifications, and data retrieval, ensuring that workflows can leverage external capabilities seamlessly. - -## Data Flow Diagram - -The data flow within the Workflow Management System is structured to ensure efficient and reliable processing of information. Below is a high-level overview of the data flow and dependencies: - -### Data Flow Description - -1. **Workflow Initialization**: - - Data is retrieved from the database to initialize or resume workflows. - - Unique identifiers are generated and stored for tracking purposes. - -2. **State Transition**: - - Upon receiving an event, the Workflow Manager processes the event and determines the next state. - - State changes are logged and updated in the database to maintain a history of the workflow. - -3. **User Interaction**: - - The system sends updates to the user interface, providing real-time feedback on workflow progress. - - User inputs are captured and processed to influence workflow decisions. - -4. **External Service Integration**: - - Data is exchanged with external services to perform specific tasks, such as sending notifications or fetching additional data. - - Responses from external services are processed and used to update the workflow state. - -### Dependencies - -- **Database**: The system relies heavily on a robust database to store workflow states, user information, and historical data. This dependency ensures data persistence and consistency across sessions. - -- **External APIs**: Integration with external APIs is crucial for extending the functionality of workflows, allowing the system to perform complex operations beyond its core capabilities. - -In summary, the Workflow Management System's architecture is designed to be modular, scalable, and efficient, with clearly defined components and data flows that ensure reliable operation and ease of maintenance. This architecture supports the dynamic nature of chat workflows, providing a robust framework for managing complex interactions. - -# Module Descriptions - -This section provides a detailed overview of the modules within the "Comprehensive System Documentation for Workflow Management." Each module is described in terms of its purpose, functionality, key functions, and methods. This documentation is intended for a technical audience and aims to offer a thorough understanding of the system's components and their interconnections. - -## Workflow Manager Module - -The Workflow Manager Module is a critical component of the system, responsible for managing chat workflows through a state machine-based approach. This module ensures that workflows are executed efficiently and consistently, providing a robust framework for handling complex interactions. - -### Purpose and Functionality - -The primary purpose of the Workflow Manager Module is to manage the lifecycle of chat workflows. It leverages a state machine to handle transitions between different states, ensuring that workflows progress smoothly and adhere to predefined rules. This module is essential for maintaining the integrity and efficiency of the workflow management system. - -### Key Functions and Methods - -1. **Workflow Initialization** - - **Functionality**: Initializes a new workflow or loads an existing one. - - **Key Methods**: - - `initialize_workflow(workflow_id, mandate_id, user_id)`: Sets up a new workflow with a unique identifier and associates it with a specific mandate and user. - - `load_existing_workflow(workflow_id)`: Retrieves and loads an existing workflow from the database. - -2. **State Management** - - **Functionality**: Manages the transitions between different states within a workflow. - - **Key Methods**: - - `transition_to_state(new_state)`: Transitions the workflow to a new state, ensuring all conditions for the transition are met. - - `get_current_state()`: Returns the current state of the workflow, allowing for monitoring and debugging. - -3. **Event Handling** - - **Functionality**: Processes events that trigger state transitions. - - **Key Methods**: - - `handle_event(event_type, event_data)`: Processes incoming events, determining the appropriate state transition based on the event type and data. - - `register_event_listener(listener)`: Allows external components to register listeners for specific events, facilitating integration with other system components. - -4. **Error Handling and Recovery** - - **Functionality**: Ensures robust error handling and recovery mechanisms are in place. - - **Key Methods**: - - `handle_error(error_code, error_message)`: Manages errors by logging them and initiating recovery procedures. - - `recover_from_failure()`: Attempts to recover the workflow to a stable state after a failure. - -## State Machine Implementation - -The State Machine Implementation is a foundational aspect of the Workflow Manager Module, providing the logic and structure necessary for managing state transitions within workflows. - -### Purpose and Functionality - -The state machine is designed to model the dynamic behavior of workflows, allowing for precise control over state transitions. It ensures that workflows adhere to defined rules and constraints, preventing invalid transitions and maintaining system stability. - -### Key Functions and Methods - -1. **State Definition** - - **Functionality**: Defines the possible states within a workflow. - - **Key Methods**: - - `define_state(state_name, entry_action, exit_action)`: Establishes a new state with specific entry and exit actions, facilitating controlled transitions. - -2. **Transition Logic** - - **Functionality**: Governs the logic for transitioning between states. - - **Key Methods**: - - `add_transition(from_state, to_state, condition)`: Adds a transition rule between states, specifying the condition under which the transition is valid. - - `evaluate_transition(current_state, event)`: Evaluates whether a transition should occur based on the current state and incoming event. - -3. **State Persistence** - - **Functionality**: Ensures that state information is persistently stored and retrievable. - - **Key Methods**: - - `save_state(workflow_id, state)`: Persists the current state of a workflow to the database. - - `load_state(workflow_id)`: Retrieves the last known state of a workflow, enabling continuity after system restarts. - -4. **Debugging and Monitoring** - - **Functionality**: Provides tools for monitoring and debugging state transitions. - - **Key Methods**: - - `log_state_transition(from_state, to_state)`: Logs each state transition for auditing and debugging purposes. - - `get_transition_history(workflow_id)`: Retrieves the history of state transitions for a specific workflow, aiding in analysis and troubleshooting. - -This comprehensive description of the Workflow Manager Module and State Machine Implementation provides a detailed understanding of their roles and functionalities within the workflow management system. The structured approach ensures that workflows are managed efficiently, with robust mechanisms for handling state transitions and errors. - -# Workflow Management - -This section provides a detailed overview of the workflow management functionality within the system, focusing on the initialization and setup of workflows, state transitions, and error handling mechanisms. This documentation is intended for technical audiences who require a comprehensive understanding of the workflow management processes. - -## Workflow Initialization - -The workflow initialization process is a critical step in setting up and managing chat workflows within the system. This subsection details the procedures and components involved in initializing workflows. - -### Key Components - -- **Workflow Manager Module**: The core component responsible for implementing a state machine to manage chat workflows effectively. -- **Unique Identifiers**: Each workflow is initialized with a unique ID, mandate ID, and user ID to ensure distinct tracking and management. -- **Initialization Parameters**: The workflow setup includes parameters such as the initial state, user roles, and permissions, which are essential for defining the workflow's operational context. - -### Initialization Process - -1. **New Workflow Creation**: - - The system allows for the creation of new workflows by assigning a unique workflow ID. - - Initial parameters are set, including user roles and initial state configuration. - -2. **Loading Existing Workflows**: - - Existing workflows can be loaded into the system using their unique identifiers. - - The system retrieves and restores the workflow's state and context from persistent storage. - -3. **Setup Confirmation**: - - Upon initialization, the system confirms the setup by logging the workflow details and ensuring all parameters are correctly configured. - -## Workflow States - -This subsection describes the state transitions within the workflow management system, focusing on how workflows progress through various states. - -### State Machine Overview - -- **State Definitions**: Each workflow consists of predefined states, such as "Initialized," "In Progress," "Completed," and "Error." -- **Transition Rules**: The system enforces rules that dictate permissible transitions between states, ensuring logical progression and preventing invalid state changes. - -### State Transition Process - -1. **State Change Triggers**: - - Transitions are triggered by specific events or conditions, such as user actions or system notifications. - - Each trigger is associated with a corresponding state change, which is logged for audit purposes. - -2. **State Validation**: - - Before a state transition occurs, the system validates the transition against predefined rules to ensure it is permissible. - - Invalid transitions are rejected, and appropriate error messages are generated. - -3. **State Update**: - - Upon successful validation, the workflow's state is updated, and the system notifies relevant stakeholders of the change. - - The updated state is persisted in the system to maintain consistency and reliability. - -## Error Handling Mechanisms - -Effective error handling is crucial for maintaining the integrity and reliability of the workflow management system. This subsection outlines the mechanisms in place to manage errors. - -### Error Detection - -- **Monitoring and Alerts**: The system continuously monitors workflows for anomalies and generates alerts when errors are detected. -- **Error Logging**: All errors are logged with detailed information, including timestamps, error codes, and descriptions, to facilitate troubleshooting. - -### Error Resolution - -1. **Automated Recovery**: - - The system attempts to automatically resolve common errors through predefined recovery procedures. - - Successful recoveries are logged, and workflows are returned to a stable state. - -2. **Manual Intervention**: - - For errors that cannot be resolved automatically, the system provides detailed error reports to administrators. - - Administrators can manually intervene to correct the issue and resume normal workflow operations. - -3. **Error Escalation**: - - Critical errors that impact system stability are escalated to higher-level support teams for immediate attention. - - Escalation procedures include detailed documentation of the error and its impact on the system. - -By understanding these components and processes, technical users can effectively manage and troubleshoot workflows within the system, ensuring smooth and reliable operations. - -# Integration and Dependencies - -This section provides a detailed overview of the integration points and dependencies within the Workflow Management system. It is crucial for understanding how the system interacts with external systems and manages its dependencies to ensure seamless operation. The section is divided into two main subsections: External Systems and APIs and Endpoints. - -## External Systems - -The Workflow Management system is designed to interact with various external systems to enhance its functionality and provide comprehensive workflow solutions. These integrations are essential for data exchange, process automation, and extending the capabilities of the system. Below are the key external systems integrated with the Workflow Management system: - -1. **Customer Relationship Management (CRM) Systems**: - - The system integrates with popular CRM platforms to fetch and update customer data, ensuring that workflows are informed by the latest customer interactions and information. - -2. **Enterprise Resource Planning (ERP) Systems**: - - Integration with ERP systems allows the Workflow Management system to access and utilize enterprise-wide data, facilitating more informed decision-making within workflows. - -3. **Communication Platforms**: - - The system connects with various communication platforms (e.g., email, messaging apps) to send notifications and updates, ensuring that all stakeholders are informed of workflow progress and changes. - -4. **Data Analytics Tools**: - - By integrating with data analytics tools, the system can provide insights and reports based on workflow data, aiding in performance tracking and optimization. - -## APIs and Endpoints - -The Workflow Management system exposes several APIs and endpoints that allow for seamless integration with external systems and facilitate communication between different components of the system. These APIs are designed to be robust, secure, and easy to use, enabling developers to extend and customize the system as needed. - -### Key APIs - -1. **Workflow Initialization API**: - - **Endpoint**: `/api/workflow/init` - - **Method**: POST - - **Description**: Initializes a new workflow or loads an existing one. Requires parameters such as unique ID, mandate ID, and user ID. - - **Example Request**: - ```json - { - "unique_id": "12345", - "mandate_id": "67890", - "user_id": "user_001" - } - ``` - -2. **State Transition API**: - - **Endpoint**: `/api/workflow/transition` - - **Method**: POST - - **Description**: Manages state transitions within a workflow. This API ensures that workflows progress through predefined states based on specific triggers or conditions. - - **Example Request**: - ```json - { - "workflow_id": "12345", - "current_state": "pending", - "next_state": "approved" - } - ``` - -3. **Notification API**: - - **Endpoint**: `/api/notifications/send` - - **Method**: POST - - **Description**: Sends notifications to users or systems based on workflow events. Supports multiple communication channels. - - **Example Request**: - ```json - { - "recipient": "user_001", - "message": "Your workflow has been approved.", - "channel": "email" - } - ``` - -### Dependency Management - -Effective dependency management is critical for the stability and performance of the Workflow Management system. The system relies on several libraries and frameworks, which are managed through a package manager to ensure compatibility and ease of updates. - -- **Python Libraries**: The system utilizes various Python libraries for state management, API handling, and data processing. These libraries are specified in a `requirements.txt` file, which can be used to install all necessary dependencies using pip. - -- **Version Control**: Dependencies are version-controlled to prevent compatibility issues. The system is regularly updated to incorporate the latest stable versions of libraries, ensuring security and performance enhancements. - -- **Testing and Validation**: Before integrating new dependencies or updating existing ones, thorough testing is conducted to validate their compatibility and performance within the system. - -In conclusion, the integration and dependencies of the Workflow Management system are meticulously managed to ensure robust performance and seamless interaction with external systems. This section provides a comprehensive understanding of how these integrations and dependencies are structured and maintained. - -# Usage and Examples - -This section provides detailed guidance on how to effectively use the Workflow Management System, illustrating both basic and advanced scenarios. It includes examples of workflows and common use cases to help users understand the system's capabilities and applications. - -## Basic Usage - -The Workflow Management System is designed to streamline the management of chat workflows using a state machine-based approach. Below are the fundamental steps to get started with the system: - -### Workflow Initialization - -To begin using the system, you must initialize a workflow. This process involves setting up a new workflow or loading an existing one. Each workflow is identified by a unique ID, along with a mandate ID and user ID. The initialization process ensures that the workflow is correctly configured to handle subsequent operations. - -**Example:** - -```python -from workflowManager import WorkflowManager - -# Initialize a new workflow -workflow = WorkflowManager.initialize_workflow( - unique_id="workflow123", - mandate_id="mandate456", - user_id="user789" -) -``` - -### Managing Workflow States - -Once a workflow is initialized, it can transition between various states. The state machine manages these transitions, ensuring that the workflow progresses logically from one state to the next. - -**Example:** - -```python -# Transition to the next state -workflow.transition_to_next_state() - -# Check current state -current_state = workflow.get_current_state() -print(f"Current State: {current_state}") -``` - -### Completing a Workflow - -After all necessary states have been processed, the workflow can be completed. This marks the end of the workflow's lifecycle. - -**Example:** - -```python -# Complete the workflow -workflow.complete_workflow() -``` - -## Advanced Scenarios - -For more complex use cases, the Workflow Management System offers advanced functionalities that cater to intricate workflow requirements. - -### Conditional State Transitions - -In some scenarios, state transitions may depend on specific conditions or external inputs. The system allows for conditional logic to be incorporated into the workflow. - -**Example:** - -```python -# Conditional transition based on external input -if workflow.check_condition("condition_met"): - workflow.transition_to_state("next_state") -``` - -### Parallel Workflow Execution - -The system supports the execution of parallel workflows, enabling multiple workflows to run concurrently without interference. - -**Example:** - -```python -# Initialize multiple workflows -workflow1 = WorkflowManager.initialize_workflow("workflow1", "mandate1", "user1") -workflow2 = WorkflowManager.initialize_workflow("workflow2", "mandate2", "user2") - -# Execute workflows in parallel -workflow1.transition_to_next_state() -workflow2.transition_to_next_state() -``` - -### Error Handling and Recovery - -The system is equipped with robust error handling mechanisms to manage exceptions and ensure workflow continuity. In the event of an error, the system can revert to a safe state or retry operations. - -**Example:** - -```python -try: - workflow.transition_to_next_state() -except WorkflowError as e: - print(f"Error encountered: {e}") - workflow.revert_to_previous_state() -``` - -## Common Use Cases - -The Workflow Management System is versatile and can be applied to various domains. Below are some common use cases: - -- **Customer Support Chatbots**: Automating customer interactions by managing conversation states and responses. -- **Order Processing Systems**: Handling order states from initiation to completion, including payment and delivery. -- **Project Management Tools**: Tracking project phases and tasks, ensuring timely transitions and updates. - -By understanding these examples and scenarios, users can leverage the Workflow Management System to optimize their processes and enhance operational efficiency. - -# Troubleshooting and FAQs - -This section provides guidance on resolving common issues and answers frequently asked questions related to the Workflow Management system. It also outlines available support and resources for further assistance. - -## Common Issues - -### 1. Workflow Initialization Errors - -**Issue**: Errors occur during the initialization of a new workflow or when loading an existing one. - -**Solution**: -- Ensure that all required parameters (unique ID, mandate ID, user ID) are correctly provided. -- Verify that the database connection is active and accessible. -- Check for any syntax errors in the configuration files. - -**Example**: If you encounter an error message like `Initialization failed: Missing mandate ID`, double-check that the mandate ID is included in the initialization call. - -### 2. State Transition Failures - -**Issue**: The state machine fails to transition between states as expected. - -**Solution**: -- Confirm that all state transition rules are correctly defined in the workflow configuration. -- Ensure that the current state is valid and that the transition conditions are met. -- Review the logs for any error messages that might indicate the cause of the failure. - -**Example**: If a transition from `Pending` to `Approved` does not occur, check the conditions defined for this transition in the `workflowManager.py` file. - -### 3. Performance Degradation - -**Issue**: The system experiences slow performance during workflow processing. - -**Solution**: -- Optimize database queries to reduce execution time. -- Increase system resources such as CPU and memory if necessary. -- Review the workflow logic for any inefficient loops or redundant operations. - -**Example**: If processing a workflow takes significantly longer than expected, analyze the database query logs to identify slow queries. - -## FAQs - -### What is the purpose of the Workflow Manager Module? - -The Workflow Manager Module implements a state machine to manage chat workflows, ensuring that each workflow progresses through predefined states based on specific conditions and triggers. - -### How do I add a new state to the workflow? - -To add a new state, update the workflow configuration file with the new state definition and specify the allowed transitions to and from this state. Ensure that the state machine logic in `workflowManager.py` is updated accordingly. - -### Can I customize the workflow for different user roles? - -Yes, workflows can be customized based on user roles by defining role-specific states and transitions in the configuration. Ensure that role-based access controls are implemented to enforce these customizations. - -### Where can I find logs for debugging purposes? - -Logs are typically stored in the `/var/log/workflow_manager/` directory. You can configure the logging level and output location in the system's configuration file. - -### How do I contact support for further assistance? - -For additional support, please contact our technical support team via email at support@workflowmanagement.com or call our helpline at +1-800-555-0199. Our support team is available 24/7 to assist with any issues. - -## Support and Resources - -- **Documentation**: Refer to the [Comprehensive System Documentation](#) for detailed information on system functionalities and configurations. -- **Community Forum**: Join our [User Community Forum](#) to discuss issues and share solutions with other users. -- **Training Sessions**: Sign up for our [Online Training Sessions](#) to enhance your understanding of the Workflow Management system. - -For further inquiries, please refer to our [Support Page](#) for more resources and contact information. - -# Appendices - -This section provides additional resources and information to support the understanding and application of the "Comprehensive System Documentation for Workflow Management". It includes a glossary of terms used throughout the documentation and references for further reading. - -## Glossary - -This glossary defines key terms and concepts used in the workflow management system documentation. Understanding these terms is essential for comprehending the system's functionality and operations. - -- **State Machine**: A computational model used to design algorithms. It consists of a finite number of states, transitions between these states, and actions, particularly useful in managing workflows where the system's state changes in response to events. - -- **Workflow**: A sequence of processes through which a piece of work passes from initiation to completion. In this context, it refers to the automated processes managed by the system to handle chat interactions. - -- **Workflow Initialization**: The process of setting up a new workflow instance or loading an existing one. This involves assigning unique identifiers and setting initial parameters. - -- **Module**: A self-contained unit of code that encapsulates a specific functionality within the system. In the workflow management system, modules handle distinct aspects of workflow operations. - -- **Backend**: The server-side part of the application, responsible for managing data, business logic, and workflows, as opposed to the frontend, which is the user interface. - -- **Chat Workflow**: A specific type of workflow designed to manage interactions in a chat environment, ensuring that messages are processed and responded to according to predefined rules. - -- **Unique ID**: A distinct identifier assigned to each workflow instance to differentiate it from others, ensuring accurate tracking and management. - -- **Mandate ID**: An identifier used to associate a workflow with a specific mandate or task, providing context and purpose to the workflow's operations. - -- **User ID**: An identifier that associates a workflow with a specific user, enabling personalized interactions and tracking. - -## References - -This section lists resources and literature that provide additional insights and information on workflow management systems, state machines, and related technologies. These references are valuable for readers seeking to deepen their understanding or explore advanced topics. - -1. **"Design Patterns: Elements of Reusable Object-Oriented Software" by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides** - - This book provides foundational knowledge on design patterns, including state machines, which are crucial for understanding workflow management systems. - -2. **"Workflow Management: Models, Methods, and Systems" by Wil van der Aalst and Kees van Hee** - - A comprehensive resource on workflow management, covering theoretical models and practical implementations. - -3. **"Finite State Machines in Software Development" by David M. Beazley** - - An article that explores the application of finite state machines in software development, offering practical examples and insights. - -4. **"The Art of Scalability: Scalable Web Architecture, Processes, and Organizations for the Modern Enterprise" by Martin L. Abbott and Michael T. Fisher** - - This book discusses scalable architectures, including workflow management systems, providing strategies for building robust and efficient systems. - -5. **Online Resources**: - - [State Machine Design Patterns](https://www.example.com/state-machine-design-patterns) - - [Workflow Management Coalition](https://www.example.com/workflow-management-coalition) - -These resources are recommended for further exploration and understanding of the concepts and technologies underpinning the workflow management system described in this documentation. - -## Conclusion - -# Conclusion - -In this "Comprehensive System Documentation for Workflow Management," we have meticulously explored the intricate components and functionalities that constitute the workflow management system. This manual has been crafted with a technical audience in mind, aiming to provide a thorough understanding of the system's architecture and operational dynamics. - -## Summary of Key Points - -1. **State Machine**: We delved into the state machine's pivotal role in managing the transitions and states within the workflow. The documentation detailed how state machines ensure the system's robustness and flexibility, allowing for seamless state transitions and efficient workflow management. - -2. **Workflow Management**: The core principles and methodologies of workflow management were outlined, emphasizing the system's capability to streamline processes and enhance productivity. We discussed various workflow scenarios and how the system adapts to different operational needs. - -3. **System Architecture**: A comprehensive overview of the system architecture was provided, highlighting the interconnections between various components. This section elucidated how each module interacts within the system, ensuring a cohesive and efficient workflow management environment. - -4. **Error Handling**: Effective error handling mechanisms were described, showcasing the system's resilience and ability to maintain operational integrity. We covered strategies for identifying, logging, and resolving errors to minimize disruptions and maintain workflow continuity. - -## Closure and Recommendations - -This documentation serves as a foundational resource for understanding and optimizing the workflow management system. By detailing the system's components and their interactions, we have provided a roadmap for both current operations and future enhancements. - -### Recommendations: - -- **Continuous Monitoring**: Implement ongoing monitoring to identify potential bottlenecks or inefficiencies within the workflow. Regular audits can help maintain optimal performance and adaptability. - -- **System Updates**: Stay abreast of technological advancements and consider integrating new tools or methodologies that could enhance the system's capabilities. - -- **Training and Development**: Encourage continuous learning and development for team members to ensure they are proficient in utilizing the system to its fullest potential. - -## Final Thoughts - -The significance of this documentation lies in its ability to demystify the complexities of workflow management systems. By providing a clear and detailed account of the system's architecture and operations, we empower technical teams to effectively manage and optimize workflows. This manual not only serves as a guide but also as a catalyst for innovation and efficiency within the organization. - -Through this documentation, we hope to have equipped you with the knowledge and insights necessary to harness the full potential of your workflow management system, fostering an environment of continuous improvement and success. diff --git a/static/1_generated_code.py b/static/1_generated_code.py deleted file mode 100644 index 2caf7d4f..00000000 --- a/static/1_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(1000) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/2_execution_history.json b/static/2_execution_history.json deleted file mode 100644 index 8a89a8b8..00000000 --- a/static/2_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(1000)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\\n613\\n617\\n619\\n631\\n641\\n643\\n647\\n653\\n659\\n661\\n673\\n677\\n683\\n691\\n701\\n709\\n719\\n727\\n733\\n739\\n743\\n751\\n757\\n761\\n769\\n773\\n787\\n797\\n809\\n811\\n821\\n823\\n827\\n829\\n839\\n853\\n857\\n859\\n863\\n877\\n881\\n883\\n887\\n907\\n911\\n919\\n929\\n937\\n941\\n947\\n953\\n967\\n971\\n977\\n983\\n991\\n997\\n1009\\n1013\\n1019\\n1021\\n1031\\n1033\\n1039\\n1049\\n1051\\n1061\\n1063\\n1069\\n1087\\n1091\\n1093\\n1097\\n1103\\n1109\\n1117\\n1123\\n1129\\n1151\\n1153\\n1163\\n1171\\n1181\\n1187\\n1193\\n1201\\n1213\\n1217\\n1223\\n1229\\n1231\\n1237\\n1249\\n1259\\n1277\\n1279\\n1283\\n1289\\n1291\\n1297\\n1301\\n1303\\n1307\\n1319\\n1321\\n1327\\n1361\\n1367\\n1373\\n1381\\n1399\\n1409\\n1423\\n1427\\n1429\\n1433\\n1439\\n1447\\n1451\\n1453\\n1459\\n1471\\n1481\\n1483\\n1487\\n1489\\n1493\\n1499\\n1511\\n1523\\n1531\\n1543\\n1549\\n1553\\n1559\\n1567\\n1571\\n1579\\n1583\\n1597\\n1601\\n1607\\n1609\\n1613\\n1619\\n1621\\n1627\\n1637\\n1657\\n1663\\n1667\\n1669\\n1693\\n1697\\n1699\\n1709\\n1721\\n1723\\n1733\\n1741\\n1747\\n1753\\n1759\\n1777\\n1783\\n1787\\n1789\\n1801\\n1811\\n1823\\n1831\\n1847\\n1861\\n1867\\n1871\\n1873\\n1877\\n1879\\n1889\\n1901\\n1907\\n1913\\n1931\\n1933\\n1949\\n1951\\n1973\\n1979\\n1987\\n1993\\n1997\\n1999\\n2003\\n2011\\n2017\\n2027\\n2029\\n2039\\n2053\\n2063\\n2069\\n2081\\n2083\\n2087\\n2089\\n2099\\n2111\\n2113\\n2129\\n2131\\n2137\\n2141\\n2143\\n2153\\n2161\\n2179\\n2203\\n2207\\n2213\\n2221\\n2237\\n2239\\n2243\\n2251\\n2267\\n2269\\n2273\\n2281\\n2287\\n2293\\n2297\\n2309\\n2311\\n2333\\n2339\\n2341\\n2347\\n2351\\n2357\\n2371\\n2377\\n2381\\n2383\\n2389\\n2393\\n2399\\n2411\\n2417\\n2423\\n2437\\n2441\\n2447\\n2459\\n2467\\n2473\\n2477\\n2503\\n2521\\n2531\\n2539\\n2543\\n2549\\n2551\\n2557\\n2579\\n2591\\n2593\\n2609\\n2617\\n2621\\n2633\\n2647\\n2657\\n2659\\n2663\\n2671\\n2677\\n2683\\n2687\\n2689\\n2693\\n2699\\n2707\\n2711\\n2713\\n2719\\n2729\\n2731\\n2741\\n2749\\n2753\\n2767\\n2777\\n2789\\n2791\\n2797\\n2801\\n2803\\n2819\\n2833\\n2837\\n2843\\n2851\\n2857\\n2861\\n2879\\n2887\\n2897\\n2903\\n2909\\n2917\\n2927\\n2939\\n2953\\n2957\\n2963\\n2969\\n2971\\n2999\\n3001\\n3011\\n3019\\n3023\\n3037\\n3041\\n3049\\n3061\\n3067\\n3079\\n3083\\n3089\\n3109\\n3119\\n3121\\n3137\\n3163\\n3167\\n3169\\n3181\\n3187\\n3191\\n3203\\n3209\\n3217\\n3221\\n3229\\n3251\\n3253\\n3257\\n3259\\n3271\\n3299\\n3301\\n3307\\n3313\\n3319\\n3323\\n3329\\n3331\\n3343\\n3347\\n3359\\n3361\\n3371\\n3373\\n3389\\n3391\\n3407\\n3413\\n3433\\n3449\\n3457\\n3461\\n3463\\n3467\\n3469\\n3491\\n3499\\n3511\\n3517\\n3527\\n3529\\n3533\\n3539\\n3541\\n3547\\n3557\\n3559\\n3571\\n3581\\n3583\\n3593\\n3607\\n3613\\n3617\\n3623\\n3631\\n3637\\n3643\\n3659\\n3671\\n3673\\n3677\\n3691\\n3697\\n3701\\n3709\\n3719\\n3727\\n3733\\n3739\\n3761\\n3767\\n3769\\n3779\\n3793\\n3797\\n3803\\n3821\\n3823\\n3833\\n3847\\n3851\\n3853\\n3863\\n3877\\n3881\\n3889\\n3907\\n3911\\n3917\\n3919\\n3923\\n3929\\n3931\\n3943\\n3947\\n3967\\n3989\\n4001\\n4003\\n4007\\n4013\\n4019\\n4021\\n4027\\n4049\\n4051\\n4057\\n4073\\n4079\\n4091\\n4093\\n4099\\n4111\\n4127\\n4129\\n4133\\n4139\\n4153\\n4157\\n4159\\n4177\\n4201\\n4211\\n4217\\n4219\\n4229\\n4231\\n4241\\n4243\\n4253\\n4259\\n4261\\n4271\\n4273\\n4283\\n4289\\n4297\\n4327\\n4337\\n4339\\n4349\\n4357\\n4363\\n4373\\n4391\\n4397\\n4409\\n4421\\n4423\\n4441\\n4447\\n4451\\n4457\\n4463\\n4481\\n4483\\n4493\\n4507\\n4513\\n4517\\n4519\\n4523\\n4547\\n4549\\n4561\\n4567\\n4583\\n4591\\n4597\\n4603\\n4621\\n4637\\n4639\\n4643\\n4649\\n4651\\n4657\\n4663\\n4673\\n4679\\n4691\\n4703\\n4721\\n4723\\n4729\\n4733\\n4751\\n4759\\n4783\\n4787\\n4789\\n4793\\n4799\\n4801\\n4813\\n4817\\n4831\\n4861\\n4871\\n4877\\n4889\\n4903\\n4909\\n4919\\n4931\\n4933\\n4937\\n4943\\n4951\\n4957\\n4967\\n4969\\n4973\\n4987\\n4993\\n4999\\n5003\\n5009\\n5011\\n5021\\n5023\\n5039\\n5051\\n5059\\n5077\\n5081\\n5087\\n5099\\n5101\\n5107\\n5113\\n5119\\n5147\\n5153\\n5167\\n5171\\n5179\\n5189\\n5197\\n5209\\n5227\\n5231\\n5233\\n5237\\n5261\\n5273\\n5279\\n5281\\n5297\\n5303\\n5309\\n5323\\n5333\\n5347\\n5351\\n5381\\n5387\\n5393\\n5399\\n5407\\n5413\\n5417\\n5419\\n5431\\n5437\\n5441\\n5443\\n5449\\n5471\\n5477\\n5479\\n5483\\n5501\\n5503\\n5507\\n5519\\n5521\\n5527\\n5531\\n5557\\n5563\\n5569\\n5573\\n5581\\n5591\\n5623\\n5639\\n5641\\n5647\\n5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\"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": 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-7723 -7727 -7741 -7753 -7757 -7759 -7789 -7793 -7817 -7823 -7829 -7841 -7853 -7867 -7873 -7877 -7879 -7883 -7901 -7907 -7919 \ No newline at end of file diff --git a/static/48_generated_code.py b/static/48_generated_code.py deleted file mode 100644 index c2e27082..00000000 --- a/static/48_generated_code.py +++ /dev/null @@ -1,44 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -# REQUIREMENTS: - -def is_prime(n: int) -> bool: - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count: int) -> list: - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -def save_primes_to_file(primes: list, filename: str) -> None: - try: - with open(filename, 'w') as file: - for prime in primes: - file.write(f"{prime}\n") - except IOError as e: - print(f"An error occurred while writing to the file: {e}") - -def main(): - prime_count = 650 - primes = generate_primes(prime_count) - output_filename = "primes.txt" - save_primes_to_file(primes, output_filename) - result = {output_filename: "\n".join(map(str, primes))} - return result - -result = main() \ No newline at end of file diff --git a/static/49_execution_history.json b/static/49_execution_history.json deleted file mode 100644 index b377bb21..00000000 --- a/static/49_execution_history.json +++ /dev/null @@ -1,13 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\n# REQUIREMENTS: \n\ndef is_prime(n: int) -> bool:\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count: int) -> list:\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\ndef save_primes_to_file(primes: list, filename: str) -> None:\n try:\n with open(filename, 'w') as file:\n for prime in primes:\n file.write(f\"{prime}\\n\")\n except IOError as e:\n print(f\"An error occurred while writing to the file: {e}\")\n\ndef main():\n prime_count = 650\n primes = generate_primes(prime_count)\n output_filename = \"primes.txt\"\n save_primes_to_file(primes, output_filename)\n result = {output_filename: \"\\n\".join(map(str, primes))}\n return result\n\nresult = main()", - "result": { - "success": true, - "output": "", - "error": "", - "result": null, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/50_generated_code.py b/static/50_generated_code.py deleted file mode 100644 index 19357e12..00000000 --- a/static/50_generated_code.py +++ /dev/null @@ -1,37 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -# REQUIREMENTS: - -def is_prime(n: int) -> bool: - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def calculate_primes(limit: int) -> list: - primes = [] - num = 2 - while len(primes) < limit: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = calculate_primes(400) -primes_str = "\n".join(map(str, primes)) - -result = { - "primes.txt": { - "content": primes_str, - "base64Encoded": False, - "contentType": "text/plain" - } -} \ No newline at end of file diff --git a/static/51_execution_history.json b/static/51_execution_history.json deleted file mode 100644 index b4697b82..00000000 --- a/static/51_execution_history.json +++ /dev/null @@ -1,13 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\n# REQUIREMENTS: \n\ndef is_prime(n: int) -> bool:\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef calculate_primes(limit: int) -> list:\n primes = []\n num = 2\n while len(primes) < limit:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = calculate_primes(400)\nprimes_str = \"\\n\".join(map(str, primes))\n\nresult = {\n \"primes.txt\": {\n \"content\": primes_str,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}", - "result": { - "success": true, - "output": "", - "error": "", - "result": null, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/52_generated_code.py b/static/52_generated_code.py deleted file mode 100644 index a85892aa..00000000 --- a/static/52_generated_code.py +++ /dev/null @@ -1,41 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -# REQUIREMENTS: - -import json - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def calculate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = calculate_primes(333) -primes_str = "\n".join(map(str, primes)) - -result = { - "output.txt": { - "content": primes_str, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -print(json.dumps(result)) \ No newline at end of file diff --git a/static/53_execution_history.json b/static/53_execution_history.json deleted file mode 100644 index e1aeb8fc..00000000 --- a/static/53_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\n# REQUIREMENTS: \n\nimport json\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef calculate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = calculate_primes(333)\nprimes_str = \"\\n\".join(map(str, primes))\n\nresult = {\n \"output.txt\": {\n \"content\": primes_str,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"output.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\\n613\\n617\\n619\\n631\\n641\\n643\\n647\\n653\\n659\\n661\\n673\\n677\\n683\\n691\\n701\\n709\\n719\\n727\\n733\\n739\\n743\\n751\\n757\\n761\\n769\\n773\\n787\\n797\\n809\\n811\\n821\\n823\\n827\\n829\\n839\\n853\\n857\\n859\\n863\\n877\\n881\\n883\\n887\\n907\\n911\\n919\\n929\\n937\\n941\\n947\\n953\\n967\\n971\\n977\\n983\\n991\\n997\\n1009\\n1013\\n1019\\n1021\\n1031\\n1033\\n1039\\n1049\\n1051\\n1061\\n1063\\n1069\\n1087\\n1091\\n1093\\n1097\\n1103\\n1109\\n1117\\n1123\\n1129\\n1151\\n1153\\n1163\\n1171\\n1181\\n1187\\n1193\\n1201\\n1213\\n1217\\n1223\\n1229\\n1231\\n1237\\n1249\\n1259\\n1277\\n1279\\n1283\\n1289\\n1291\\n1297\\n1301\\n1303\\n1307\\n1319\\n1321\\n1327\\n1361\\n1367\\n1373\\n1381\\n1399\\n1409\\n1423\\n1427\\n1429\\n1433\\n1439\\n1447\\n1451\\n1453\\n1459\\n1471\\n1481\\n1483\\n1487\\n1489\\n1493\\n1499\\n1511\\n1523\\n1531\\n1543\\n1549\\n1553\\n1559\\n1567\\n1571\\n1579\\n1583\\n1597\\n1601\\n1607\\n1609\\n1613\\n1619\\n1621\\n1627\\n1637\\n1657\\n1663\\n1667\\n1669\\n1693\\n1697\\n1699\\n1709\\n1721\\n1723\\n1733\\n1741\\n1747\\n1753\\n1759\\n1777\\n1783\\n1787\\n1789\\n1801\\n1811\\n1823\\n1831\\n1847\\n1861\\n1867\\n1871\\n1873\\n1877\\n1879\\n1889\\n1901\\n1907\\n1913\\n1931\\n1933\\n1949\\n1951\\n1973\\n1979\\n1987\\n1993\\n1997\\n1999\\n2003\\n2011\\n2017\\n2027\\n2029\\n2039\\n2053\\n2063\\n2069\\n2081\\n2083\\n2087\\n2089\\n2099\\n2111\\n2113\\n2129\\n2131\\n2137\\n2141\\n2143\\n2153\\n2161\\n2179\\n2203\\n2207\\n2213\\n2221\\n2237\\n2239\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "output.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541\n547\n557\n563\n569\n571\n577\n587\n593\n599\n601\n607\n613\n617\n619\n631\n641\n643\n647\n653\n659\n661\n673\n677\n683\n691\n701\n709\n719\n727\n733\n739\n743\n751\n757\n761\n769\n773\n787\n797\n809\n811\n821\n823\n827\n829\n839\n853\n857\n859\n863\n877\n881\n883\n887\n907\n911\n919\n929\n937\n941\n947\n953\n967\n971\n977\n983\n991\n997\n1009\n1013\n1019\n1021\n1031\n1033\n1039\n1049\n1051\n1061\n1063\n1069\n1087\n1091\n1093\n1097\n1103\n1109\n1117\n1123\n1129\n1151\n1153\n1163\n1171\n1181\n1187\n1193\n1201\n1213\n1217\n1223\n1229\n1231\n1237\n1249\n1259\n1277\n1279\n1283\n1289\n1291\n1297\n1301\n1303\n1307\n1319\n1321\n1327\n1361\n1367\n1373\n1381\n1399\n1409\n1423\n1427\n1429\n1433\n1439\n1447\n1451\n1453\n1459\n1471\n1481\n1483\n1487\n1489\n1493\n1499\n1511\n1523\n1531\n1543\n1549\n1553\n1559\n1567\n1571\n1579\n1583\n1597\n1601\n1607\n1609\n1613\n1619\n1621\n1627\n1637\n1657\n1663\n1667\n1669\n1693\n1697\n1699\n1709\n1721\n1723\n1733\n1741\n1747\n1753\n1759\n1777\n1783\n1787\n1789\n1801\n1811\n1823\n1831\n1847\n1861\n1867\n1871\n1873\n1877\n1879\n1889\n1901\n1907\n1913\n1931\n1933\n1949\n1951\n1973\n1979\n1987\n1993\n1997\n1999\n2003\n2011\n2017\n2027\n2029\n2039\n2053\n2063\n2069\n2081\n2083\n2087\n2089\n2099\n2111\n2113\n2129\n2131\n2137\n2141\n2143\n2153\n2161\n2179\n2203\n2207\n2213\n2221\n2237\n2239", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/54_generated_code.py b/static/54_generated_code.py deleted file mode 100644 index f0db1ad2..00000000 --- a/static/54_generated_code.py +++ /dev/null @@ -1,41 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -# REQUIREMENTS: - -import json - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(444) -primes_str = "\n".join(map(str, primes)) - -result = { - "output.txt": { - "content": primes_str, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -print(json.dumps(result)) \ No newline at end of file diff --git a/static/55_execution_history.json b/static/55_execution_history.json deleted file mode 100644 index eadef1cb..00000000 --- a/static/55_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\n# REQUIREMENTS: \n\nimport json\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(444)\nprimes_str = \"\\n\".join(map(str, primes))\n\nresult = {\n \"output.txt\": {\n \"content\": primes_str,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"output.txt\": {\"content\": 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CHANGE THIS LINE - -# REQUIREMENTS: - -import json - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(555) -primes_content = "\n".join(map(str, primes)) - -result = { - "primes.txt": { - "content": primes_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -print(json.dumps(result)) \ No newline at end of file diff --git a/static/58_execution_history.json b/static/58_execution_history.json deleted file mode 100644 index 4e0d1ef4..00000000 --- a/static/58_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\n# REQUIREMENTS: \n\nimport json\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(555)\nprimes_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"primes.txt\": {\n \"content\": primes_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"primes.txt\": {\"content\": 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'./workflowUi.js'; -import * as WorkflowData from './workflowData.js'; - -// DOM elements mapping -const domElements = {}; - -// State machine constants -const WORKFLOW_STATES = { - NULL: null, - RUNNING: 'running', - COMPLETED: 'completed', - FAILED: 'failed', - STOPPED: 'stopped' -}; - -/** - * Initializes the workflow module - * @param {Object} globalStateObj - Global application state - */ -function initWorkflowModule(globalStateObj) { - console.log("Initializing workflow module..."); - - try { - // Initialize DOM elements - initDomElements(); - - // Initialize coordination layer with initial state - WorkflowCoordination.initCoordination({ - status: WORKFLOW_STATES.NULL, - workflowId: "", - logs: [], - chatMessages: [], - lastPolledLogId: null, - lastPolledMessageId: null, - dataStats: { - bytesSent: 0, - bytesReceived: 0, - tokensUsed: 0 - }, - pollFailCount: 0 - }); - - // Make DOM elements available to coordination layer - WorkflowCoordination.userInputState.domElements = domElements; - - // Initialize UI layer with callbacks - WorkflowUI.initUI( - WorkflowCoordination.getWorkflowState(), - { - onResetWorkflow: resetWorkflow, - onStopWorkflow: stopWorkflow, - onLayoutChange: handleLayoutChange - } - ); - - // Initialize data layer - WorkflowData.initDataLayer(globalStateObj); - - // Setup event listeners - setupEventListeners(); - - // Initialize file handling - initFileHandling(); - - // Load prompt options - if (globalStateObj && globalStateObj.mainView) { - loadPromptOptions(globalStateObj.mainView.availablePrompts || []); - } - - // Show initial prompt view - WorkflowCoordination.showInitialPromptView(); - - console.log("Workflow module successfully initialized with state:", WORKFLOW_STATES.NULL); - } catch (error) { - console.error("Error initializing workflow module:", error); - window.utils.ui.showError("Failed to initialize workflow module: " + error.message); - } -} - -/** - * Initializes all DOM element references - */ -function initDomElements() { - console.log("Initializing DOM elements"); - - // Main containers - domElements.workflowContainer = document.querySelector('.workflow-container'); - domElements.workflowHeader = document.querySelector('.workflow-header'); - domElements.chatSection = document.querySelector('.chat-section'); - domElements.workflowFooter = document.querySelector('.workflow-footer'); - - // UI components - domElements.resetBtn = document.getElementById('reset-btn'); - domElements.stopWorkflowBtn = document.getElementById('stop-workflow-btn'); - domElements.executionLog = document.getElementById('execution-log'); - domElements.agentChatMessages = document.getElementById('agent-chat-messages'); - domElements.emptyChatState = document.getElementById('empty-chat-state'); - domElements.userMessageInput = document.getElementById('user-message-input'); - domElements.sendUserMessageBtn = document.getElementById('send-user-message-btn'); - domElements.toggleHeaderBtn = document.getElementById('toggle-header-btn'); - domElements.userInputArea = document.getElementById('user-input-area'); - - // File handling - domElements.filePreviewContainer = document.getElementById('file-preview-container'); - domElements.filePreviewContent = document.getElementById('file-preview-content'); - domElements.downloadFileBtn = document.getElementById('download-file-btn'); - domElements.copyFileBtn = document.getElementById('copy-file-btn'); - domElements.uploadAdditionalFileBtn = document.getElementById('upload-additional-file-btn'); - domElements.additionalFileInput = document.getElementById('additional-file-input'); - domElements.additionalFilesContainer = document.getElementById('additional-files-container'); - - // Prompt selection - domElements.promptSelectMain = document.getElementById('prompt-select-main'); - - // Statistics - domElements.dataStatisticsEl = document.getElementById('data-statistics'); - - // Log found elements vs missing elements - const foundElements = Object.keys(domElements).filter(key => domElements[key] !== null).length; - const missingElements = Object.keys(domElements).filter(key => domElements[key] === null); - - console.log(`DOM elements initialized: ${foundElements} found, ${missingElements.length} missing`); - if (missingElements.length > 0) { - console.warn("Missing DOM elements:", missingElements.join(', ')); - } -} - -/** - * Sets up event listeners - */ -function setupEventListeners() { - console.log("Setting up event listeners"); - - // User input handling - if (domElements.userMessageInput) { - // Track input changes - domElements.userMessageInput.addEventListener('input', (e) => { - WorkflowCoordination.userInputState.promptText = e.target.value; - }); - - // Handle Enter key for submission - domElements.userMessageInput.addEventListener('keydown', (e) => { - if (e.key === 'Enter' && !e.shiftKey) { - e.preventDefault(); - sendUserResponse(); - } - }); - } - - // Send button - if (domElements.sendUserMessageBtn) { - // Remove any existing listeners - const newButton = domElements.sendUserMessageBtn.cloneNode(true); - if (domElements.sendUserMessageBtn.parentNode) { - domElements.sendUserMessageBtn.parentNode.replaceChild(newButton, domElements.sendUserMessageBtn); - } - domElements.sendUserMessageBtn = newButton; - - newButton.addEventListener('click', sendUserResponse); - } - - // Reset button - if (domElements.resetBtn) { - domElements.resetBtn.addEventListener('click', resetWorkflow); - } - - // Stop workflow button - if (domElements.stopWorkflowBtn) { - domElements.stopWorkflowBtn.addEventListener('click', stopWorkflow); - } - - // Prompt selection - if (domElements.promptSelectMain) { - domElements.promptSelectMain.addEventListener('change', handlePromptSelection); - } - - // Add custom event listeners for workflow state changes - document.addEventListener('workflowStatusChanged', handleWorkflowStatusChange); -} - -/** - * Handler for workflow status change events - * @param {CustomEvent} event - The status change event - */ -function handleWorkflowStatusChange(event) { - const { status, previousStatus, options } = event.detail; - - console.log(`Workflow status transition: ${previousStatus} → ${status}`); - - // Update UI based on state transitions - switch (status) { - case WORKFLOW_STATES.RUNNING: - // Show running UI state - if (domElements.stopWorkflowBtn) { - domElements.stopWorkflowBtn.style.display = 'inline-block'; - } - if (domElements.emptyChatState) { - domElements.emptyChatState.style.display = 'none'; - } - if (domElements.agentChatMessages) { - domElements.agentChatMessages.style.display = 'block'; - } - break; - - case WORKFLOW_STATES.COMPLETED: - // Show completed UI state - if (domElements.stopWorkflowBtn) { - domElements.stopWorkflowBtn.style.display = 'none'; - } - WorkflowCoordination.showInitialPromptView(); - break; - - case WORKFLOW_STATES.FAILED: - // Show failed UI state with retry option - if (domElements.stopWorkflowBtn) { - domElements.stopWorkflowBtn.style.display = 'none'; - } - WorkflowCoordination.showInitialPromptView(); - // Optionally show error UI - window.utils.ui.showToast(options.message || "Workflow failed", "error"); - break; - - case WORKFLOW_STATES.STOPPED: - // Show stopped UI state with resume option - if (domElements.stopWorkflowBtn) { - domElements.stopWorkflowBtn.style.display = 'none'; - } - WorkflowCoordination.showInitialPromptView(); - break; - - case WORKFLOW_STATES.NULL: - // Reset to initial state - if (domElements.stopWorkflowBtn) { - domElements.stopWorkflowBtn.style.display = 'none'; - } - if (domElements.emptyChatState) { - domElements.emptyChatState.style.display = 'flex'; - } - if (domElements.agentChatMessages) { - domElements.agentChatMessages.style.display = 'none'; - } - WorkflowCoordination.showInitialPromptView(); - break; - } -} - -/** - * Initializes file handling functionality - */ -function initFileHandling() { - // Setup file input handling - if (domElements.uploadAdditionalFileBtn && domElements.additionalFileInput) { - domElements.uploadAdditionalFileBtn.addEventListener('click', () => { - domElements.additionalFileInput.click(); - }); - - domElements.additionalFileInput.addEventListener('change', (event) => { - const files = event.target.files; - for (let file of files) { - handleFileSelection(file); - } - event.target.value = ''; - }); - } - - // Initialize drag & drop - if (domElements.userInputArea) { - initDragAndDrop(domElements.userInputArea); - } -} - -/** - * Initializes drag and drop functionality - * @param {HTMLElement} dropArea - The area where files can be dropped - */ -function initDragAndDrop(dropArea) { - console.log("Initializing drag & drop for files"); - - // Prevent default drag behaviors - ['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => { - dropArea.addEventListener(eventName, preventDefaults, false); - }); - - // Highlight drop area when item is dragged over it - dropArea.addEventListener('dragenter', () => { - dropArea.classList.add('dragging'); - }); - - dropArea.addEventListener('dragover', () => { - dropArea.classList.add('dragging'); - }); - - // Remove highlight when item is dragged out or dropped - dropArea.addEventListener('dragleave', () => { - dropArea.classList.remove('dragging'); - }); - - dropArea.addEventListener('drop', (e) => { - dropArea.classList.remove('dragging'); - const files = e.dataTransfer.files; - - if (files.length > 0) { - for (let file of files) { - handleFileSelection(file); - } - } - }); - - function preventDefaults(e) { - e.preventDefault(); - e.stopPropagation(); - } -} - -/** - * Handles file selection from input or drop - * @param {File} file - The selected file - */ -async function handleFileSelection(file) { - try { - // Upload and process file - const processedFile = await api.uploadFile(file); - - // Add to additional files list if successful - if (processedFile) { - const fileExists = WorkflowCoordination.userInputState.additionalFiles.some(f => f.id === processedFile.id); - - if (!fileExists) { - WorkflowCoordination.userInputState.additionalFiles.push(processedFile); - WorkflowUI.renderAdditionalFiles(WorkflowCoordination.userInputState.additionalFiles); - WorkflowUI.updatePromptVisualization(); - } - } - } catch (error) { - console.error(`Error processing file ${file.name}:`, error); - window.utils.ui.showToast("File Processing Error", `Failed to process file ${file.name}: ${error.message}`, "error"); - } -} - -/** - * Loads prompt options into the select dropdown - * @param {Array} prompts - Available prompt templates - */ -function loadPromptOptions(prompts) { - if (!domElements.promptSelectMain || !prompts) { - return; - } - - // Clear existing options, keeping the default - while (domElements.promptSelectMain.options.length > 1) { - domElements.promptSelectMain.remove(1); - } - - // Add prompts to select - prompts.forEach(prompt => { - const option = document.createElement('option'); - option.value = prompt.id; - option.textContent = prompt.name || `Prompt ${prompt.id}`; - domElements.promptSelectMain.appendChild(option); - }); -} - -/** - * Handles selection from the prompt dropdown - */ -function handlePromptSelection() { - if (!domElements.promptSelectMain || !domElements.userMessageInput) { - return; - } - - const selectedPromptId = domElements.promptSelectMain.value; - - if (!selectedPromptId) { - domElements.userMessageInput.value = ''; - WorkflowCoordination.userInputState.promptText = ''; - return; - } - - // Find selected prompt - const prompts = window.globalState?.mainView?.availablePrompts || []; - const selectedPrompt = prompts.find(p => String(p.id) === selectedPromptId); - - if (selectedPrompt) { - domElements.userMessageInput.value = selectedPrompt.content; - WorkflowCoordination.userInputState.promptText = selectedPrompt.content; - domElements.userMessageInput.focus(); - } -} - -/** - * Sends a user response to the workflow based on current state - */ -async function sendUserResponse() { - if (!domElements.userMessageInput) { - console.error("Error: userMessageInput not found"); - window.utils.ui.showToast("No input available", "error"); - return; - } - - // Get user message - const userMessage = WorkflowCoordination.userInputState.promptText.trim(); - if (!userMessage) { - window.utils.ui.showToast("Missing Input. Please enter a message", "warning"); - return; - } - - // Get current workflow state - const workflowState = WorkflowCoordination.getWorkflowState(); - - // Set loading state - WorkflowCoordination.setLoadingState(true); - - try { - // Create or continue workflow based on current state - if (workflowState.workflowId && - [WORKFLOW_STATES.COMPLETED, WORKFLOW_STATES.FAILED, WORKFLOW_STATES.STOPPED].includes(workflowState.status)) { - - // This is a continuation of a completed/failed/stopped workflow - await continueExistingWorkflow(workflowState.workflowId, userMessage); - - } else if (workflowState.workflowId && workflowState.status === WORKFLOW_STATES.RUNNING) { - - // Continuing a running workflow - await continueRunningWorkflow(workflowState.workflowId, userMessage); - - } else { - - // Starting a new workflow - await createNewWorkflow(userMessage); - } - - // Reset input after successful submission - domElements.userMessageInput.value = ''; - WorkflowCoordination.userInputState.promptText = ''; - WorkflowCoordination.clearAttachedFiles(); - - } catch (error) { - console.error("Error sending message:", error); - - // Transition to failed state if we were in running state - if (workflowState.status === WORKFLOW_STATES.RUNNING) { - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.FAILED, { - message: `Communication error: ${error.message}`, - systemMessage: "Failed to process your request" - }); - } - - window.utils.ui.showToast(`Communication Error: Failed to send message: ${error.message}`, "error"); - } finally { - // Unlock UI - WorkflowCoordination.setLoadingState(false); - } -} - -/** - * Creates a new workflow with user prompt - * @param {string} userMessage - User prompt - */ -async function createNewWorkflow(userMessage) { - console.log("Starting new workflow"); - - // Add log entry for starting workflow - const startLog = WorkflowCoordination.addLogEntry("Starting new workflow...", "info"); - - try { - // Transition state to running before API call - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.RUNNING, { - message: "Preparing workflow", - logId: startLog.id - }); - - // Create new workflow - const response = await WorkflowData.createWorkflow( - userMessage, - WorkflowCoordination.userInputState.additionalFiles - ); - - if (!response || !response.id) { - throw new Error("Failed to start workflow: No workflow ID received"); - } - - // Set active workflow - WorkflowCoordination.setActiveWorkflow(response.id); - - // Start polling for updates - WorkflowData.pollWorkflowStatus(response.id).catch(error => { - console.error("Error in polling process:", error); - // Optionally handle the error (e.g., show a notification) - }); - - } catch (error) { - console.error("Error creating workflow:", error); - - // Revert to null state - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.NULL, { - message: `Failed to create workflow: ${error.message}`, - systemMessage: "Failed to start workflow" - }); - - throw error; - } -} - -/** - * Continues a completed, failed, or stopped workflow - * @param {string} workflowId - ID of the workflow - * @param {string} userMessage - User prompt - */ -async function continueExistingWorkflow(workflowId, userMessage) { - console.log(`Continuing workflow ${workflowId} from ${WorkflowCoordination.getWorkflowStatus()} state`); - - // Add log entry - const continueLog = WorkflowCoordination.addLogEntry("Continuing workflow...", "info"); - - try { - // Transition state to running - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.RUNNING, { - message: "Resuming workflow", - logId: continueLog.id - }); - - // Get file IDs - const additionalFileIds = WorkflowCoordination.userInputState.additionalFiles.map(file => file.id); - - // Submit user input - await WorkflowData.submitUserInput( - workflowId, - userMessage, - additionalFileIds - ); - - // Start polling - WorkflowData.pollWorkflowStatus(workflowId); - - } catch (error) { - console.error("Error continuing workflow:", error); - - // Revert to previous state - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.FAILED, { - message: `Failed to continue workflow: ${error.message}`, - systemMessage: "Failed to process your request" - }); - - throw error; - } -} - -/** - * Continues a running workflow - * @param {string} workflowId - ID of the workflow - * @param {string} userMessage - User prompt - */ -async function continueRunningWorkflow(workflowId, userMessage) { - console.log(`Continuing running workflow ${workflowId}`); - - try { - // Get file IDs - const additionalFileIds = WorkflowCoordination.userInputState.additionalFiles.map(file => file.id); - - // Submit user input - await WorkflowData.submitUserInput( - workflowId, - userMessage, - additionalFileIds - ); - - // Update logs - WorkflowCoordination.addLogEntry("Continuing workflow with user input", "info"); - - // Make sure we're still in running state - if (WorkflowCoordination.getWorkflowStatus() !== WORKFLOW_STATES.RUNNING) { - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.RUNNING, { - message: "Processing user input" - }); - } - - // Poll for updates - WorkflowData.pollWorkflowStatus(workflowId); - - } catch (error) { - console.error("Error submitting to running workflow:", error); - throw error; - } -} - -/** - * Stops the current workflow - */ -async function stopWorkflow() { - const workflowState = WorkflowCoordination.getWorkflowState(); - - if (!workflowState.workflowId || workflowState.status !== WORKFLOW_STATES.RUNNING) { - console.warn("No running workflow to stop"); - return; - } - - try { - // IMMEDIATELY modify state before async operations - // This prevents race conditions during workflow stopping - workflowState.pollActive = false; - - // Clear polling sequence to prevent orphaned polling - if (workflowState._pollingSequenceId) { - workflowState._pollingSequenceId = null; - } - - // Add log entry - WorkflowCoordination.addLogEntry("Stopping workflow...", "warning"); - - // Call API to stop workflow - await WorkflowData.stopWorkflow(workflowState.workflowId); - - // Update to stopped status - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.STOPPED, { - message: "Workflow has been stopped", - systemMessage: "Workflow was manually stopped" - }); - - console.log("Workflow stopped successfully, polling disabled"); - - } catch (error) { - console.error("Error stopping workflow:", error); - - // Log error but still try to update UI state - WorkflowCoordination.addLogEntry(`Error stopping workflow: ${error.message}`, "error"); - - // Force status to stopped even if API call failed - WorkflowCoordination.updateWorkflowStatus(WORKFLOW_STATES.STOPPED, { - message: "Workflow stopped with errors", - systemMessage: "Workflow was stopped but there were errors" - }); - } -} - -/** - * Resets the workflow completely - */ -function resetWorkflow() { - // Stop any ongoing polling - workflowState.pollActive = false; - - // Clear polling sequence to prevent orphaned polling - if (workflowState._pollingSequenceId) { - workflowState._pollingSequenceId = null; - } - - // Reset state - workflowState = { - status: null, - workflowId: "", - logs: [], - chatMessages: [], - lastPolledLogId: null, - lastPolledMessageId: null, - dataStats: { - bytesSent: 0, - bytesReceived: 0, - tokensUsed: 0 - }, - pollFailCount: 0, - pollActive: false - }; - - // Reset user input - userInputState.promptText = ""; - userInputState.additionalFiles = []; - - // Stop animations - stopWaitingAnimation(); - - // Dispatch event for UI update - const event = new CustomEvent('workflowReset'); - document.dispatchEvent(event); - - console.log("Workflow state reset"); -} - -/** - * Handles layout changes - * @param {Object} layoutConfig - Layout configuration - */ -function handleLayoutChange(layoutConfig) { - console.log("Layout change:", layoutConfig); - - // Implement layout change handling logic - if (layoutConfig.collapseHeader) { - if (domElements.workflowHeader) { - domElements.workflowHeader.classList.add('collapsed'); - } - } - - if (layoutConfig.expandHeader) { - if (domElements.workflowHeader) { - domElements.workflowHeader.classList.remove('collapsed'); - } - } - - // Force layout adjustment - setTimeout(() => { - window.dispatchEvent(new Event('resize')); - }, 100); -} - -// Export the initialization function -export { - initWorkflowModule, - WORKFLOW_STATES -}; \ No newline at end of file diff --git a/static/61_workflowCoordination.js b/static/61_workflowCoordination.js deleted file mode 100644 index 35996309..00000000 --- a/static/61_workflowCoordination.js +++ /dev/null @@ -1,672 +0,0 @@ -/** - * Central coordination layer for workflow state management - * Handles state transitions and provides methods for updating state - */ - -// Workflow state with simplified status management -let workflowState = { - status: null, // null or 'running', 'completed', 'failed', 'stopped' - workflowId: "", - logs: [], - chatMessages: [], - lastPolledLogId: null, - lastPolledMessageId: null, - dataStats: { - bytesSent: 0, - bytesReceived: 0, - tokensUsed: 0 - }, - pollFailCount: 0, // For tracking consecutive polling failures - pollActive: false -}; - -// User input state -let userInputState = { - promptText: "", // Current prompt text - additionalFiles: [], // Additional files to send with prompt - domElements: {} // DOM element references -}; - -// Waiting animation state -let waitingDotsInterval = null; -let lastWaitingLogId = null; - -/** - * Initializes the coordination module with a workflow state - * @param {Object} initialState - Initial workflow state - */ -function initCoordination(initialState) { - console.log("Initializing workflow coordination..."); - - // Initialize state with provided state or defaults - if (initialState) { - workflowState = { ...workflowState, ...initialState }; - } - - document.addEventListener('removeAdditionalFile', function(event) { - if (!event.detail || typeof event.detail.index !== 'number') { - console.error("Missing index in removeAdditionalFile event"); - return; - } - - const index = event.detail.index; - - // Validate index is in range - if (index >= 0 && index < userInputState.additionalFiles.length) { - // Remove the file at the specified index - userInputState.additionalFiles.splice(index, 1); - - // Update UI components - const filesEvent = new CustomEvent('filesUpdated', { - detail: { files: userInputState.additionalFiles } - }); - document.dispatchEvent(filesEvent); - } - }); - - console.log("Workflow coordination initialized with state:", workflowState); -} - -/** - * Updates workflow status and synchronizes UI - * @param {string} newStatus - New status (null, 'running', 'completed', 'failed', 'stopped') - * @param {Object} options - Additional options (message, workflowId, etc.) - * @returns {Object} Updated workflow state - */ -function updateWorkflowStatus(newStatus, options = {}) { - // Take a snapshot of the current state to detect race conditions - const prevStatus = workflowState.status; - const prevPollActive = workflowState.pollActive; - - // Validate state transition - if (!isValidStateTransition(prevStatus, newStatus)) { - console.warn(`Invalid state transition: ${prevStatus} → ${newStatus}`); - return workflowState; - } - - // Update workflow ID if provided - if (options.workflowId) { - workflowState.workflowId = options.workflowId; - } - - // Log status change - console.log(`Workflow status change: ${prevStatus} → ${newStatus}`, - options.message ? `(${options.message})` : ''); - - // Set the new status - THIS MUST HAPPEN BEFORE MODIFYING pollActive - workflowState.status = newStatus; - - // Reset poll fail count on valid status changes - if (newStatus !== prevStatus) { - workflowState.pollFailCount = 0; - } - - if (newStatus === 'running' || newStatus === 'completed') { - workflowState.pollActive = true; - console.log(`Status changed to ${newStatus}, polling remains active`); - } else { - // For other states ('failed', 'stopped', null), disable polling - workflowState.pollActive = false; - console.log(`Status changed to ${newStatus}, polling deactivated`); - } - - // Log if polling state changed to help debug race conditions - if (prevPollActive !== workflowState.pollActive) { - console.log(`Polling state changed: ${prevPollActive} → ${workflowState.pollActive}`); - } - - // Add log entry if message provided - if (options.message) { - let logType = 'info'; - - if (newStatus === 'completed') logType = 'success'; - if (newStatus === 'failed') logType = 'error'; - if (newStatus === 'stopped') logType = 'warning'; - - addLogEntry(options.message, logType, null, options.agent || 'System'); - } - - // Status-specific actions - switch (newStatus) { - case 'running': - // Start/continue animation on log if specified - if (options.logId) { - startWaitingAnimation(options.logId); - } else if (workflowState.logs.length > 0) { - const recentLogs = workflowState.logs - .filter(log => log.type === 'info' && !log.message.includes('completed')) - .sort((a, b) => new Date(b.timestamp) - new Date(a.timestamp)); - - if (recentLogs.length > 0) { - startWaitingAnimation(recentLogs[0].id); - } - } - break; - - case 'completed': - case 'failed': - case 'stopped': - // Stop any animations - stopWaitingAnimation(); - - // Add system message to chat if provided - if (options.systemMessage) { - addChatMessage({ - type: 'system', - content: options.systemMessage, - timestamp: new Date().toISOString() - }); - } - break; - } - - // Trigger UI updates by dispatching an event - const event = new CustomEvent('workflowStatusChanged', { - detail: { - status: newStatus, - previousStatus: prevStatus, - options: options - } - }); - document.dispatchEvent(event); - - // Execute additional callback if provided - if (typeof options.callback === 'function') { - options.callback(); - } - - return workflowState; -} - -/** - * Checks if a state transition is valid according to the state machine - * @param {string} fromState - Current state - * @param {string} toState - Target state - * @returns {boolean} - Whether transition is valid - */ -function isValidStateTransition(fromState, toState) { - // Define valid transitions - const validTransitions = { - 'null': ['running'], - 'running': ['running', 'completed', 'failed', 'stopped'], - 'completed': ['running', 'null'], - 'failed': ['running', 'null'], - 'stopped': ['running', 'null'] - }; - - // Special case: Reset to null is always allowed - if (toState === null) { - return true; - } - - // Check if current state has defined transitions - if (!validTransitions[fromState]) { - // Allow any transition if current state is unknown - return true; - } - - // Check if transition is valid - return validTransitions[fromState].includes(toState); -} - -/** - * Shows the initial prompt view - */ -function showInitialPromptView() { - const elements = userInputState.domElements; - - console.log("Showing initial prompt view"); - - // Change placeholder for initial prompts - if (elements.userMessageInput) { - elements.userMessageInput.placeholder = workflowState.workflowId ? - "Continue the conversation..." : - "Enter a new prompt..."; - - elements.userMessageInput.value = ""; // Clear existing text - userInputState.promptText = ""; - } - - // Change button text based on state - if (elements.sendUserMessageBtn) { - elements.sendUserMessageBtn.innerHTML = workflowState.workflowId ? - ' Send' : - ' Start'; - } - - // Clear attached files - userInputState.additionalFiles = []; - if (elements.additionalFilesContainer) { - elements.additionalFilesContainer.innerHTML = ''; - } - - // Focus input field - if (elements.userMessageInput) { - elements.userMessageInput.focus(); - } - - // Update UI elements - const event = new CustomEvent('showInitialPromptView', { - detail: { workflowId: workflowState.workflowId } - }); - document.dispatchEvent(event); -} - -/** - * Sets loading state for UI - * @param {boolean} isLoading - Whether UI is in loading state - */ -function setLoadingState(isLoading) { - const elements = userInputState.domElements; - - console.log(`Setting UI loading state: ${isLoading ? 'Active' : 'Inactive'}`); - - // User input field - if (elements.userMessageInput) { - elements.userMessageInput.disabled = isLoading; - } - - // Send button - if (elements.sendUserMessageBtn) { - elements.sendUserMessageBtn.disabled = isLoading; - if (isLoading) { - elements.sendUserMessageBtn.innerHTML = ''; - } else { - // Different icons based on context - elements.sendUserMessageBtn.innerHTML = workflowState.workflowId ? - ' Send' : - ' Start'; - } - } - - // File upload button - if (elements.uploadAdditionalFileBtn) { - elements.uploadAdditionalFileBtn.disabled = isLoading; - } - - // Prompt selection - if (elements.promptSelectMain) { - elements.promptSelectMain.disabled = isLoading; - } - - // Dispatch event for other components to respond - const event = new CustomEvent('loadingStateChanged', { - detail: { isLoading: isLoading } - }); - document.dispatchEvent(event); -} - -/** - * Starts waiting animation on a log entry - * @param {string} logId - ID of the log entry - */ -function startWaitingAnimation(logId) { - // Stop any existing animation - stopWaitingAnimation(); - - // Mark log as waiting - const log = workflowState.logs.find(l => l.id === logId); - if (log) { - // Reset waiting status for all logs - workflowState.logs.forEach(l => l.waiting = false); - - // Set waiting status for this log - log.waiting = true; - lastWaitingLogId = logId; - - // Start animation - waitingDotsInterval = setInterval(() => { - updateWaitingDots(); - }, 500); - - // Dispatch event for UI update - const event = new CustomEvent('logsUpdated', { - detail: { logs: workflowState.logs, waitingLogId: logId } - }); - document.dispatchEvent(event); - - // Start animation immediately - updateWaitingDots(); - } else { - console.warn("Log entry not found for waiting animation:", logId); - } -} - -/** - * Stops waiting animation - */ -function stopWaitingAnimation() { - if (waitingDotsInterval) { - clearInterval(waitingDotsInterval); - waitingDotsInterval = null; - } - - // Reset waiting status for all logs - if (workflowState.logs) { - workflowState.logs.forEach(log => { - if (log.waiting) { - log.waiting = false; - } - }); - } - - // Clear waiting dots in DOM - try { - document.querySelectorAll('.waiting-dots').forEach(el => { - el.textContent = ''; - }); - } catch (e) { - console.error("Error clearing waiting dots:", e); - } - - // Reset last waiting log ID - lastWaitingLogId = null; - - // Dispatch event for UI update - const event = new CustomEvent('logsUpdated', { - detail: { logs: workflowState.logs, waitingLogId: null } - }); - document.dispatchEvent(event); -} - -/** - * Updates waiting dots animation - */ -function updateWaitingDots() { - const waitingDotsElements = document.querySelectorAll('.waiting-dots'); - waitingDotsElements.forEach(element => { - // Get current dots count - const currentText = element.textContent || ''; - let dotsCount = currentText.length; - - // Increment and limit dots count - dotsCount = (dotsCount + 1) % 4; - element.textContent = '.'.repeat(dotsCount); - }); - - // If no elements found but animation is running, force re-render - if (waitingDotsElements.length === 0 && waitingDotsInterval) { - // Find logs with waiting flag - const waitingLogs = workflowState.logs ? - workflowState.logs.filter(log => log.waiting) : []; - - if (waitingLogs.length > 0) { - // Dispatch event for UI update - const event = new CustomEvent('logsUpdated', { - detail: { logs: workflowState.logs } - }); - document.dispatchEvent(event); - } - } -} - -/** - * Sets the active workflow - * @param {string} workflowId - ID of the active workflow - */ -function setActiveWorkflow(workflowId) { - if (!workflowId) { - console.error("Invalid workflow ID"); - return; - } - - console.log(`Setting active workflow: ${workflowId}`); - - workflowState.workflowId = workflowId; - workflowState.pollActive = true; // Set polling to active when workflow becomes active - - // Update global state for better accessibility - if (window.globalState && window.globalState.mainView) { - window.globalState.mainView.currentWorkflowId = workflowId; - console.log("Workflow ID also set in globalState"); - } - - // Update workflow status to running - updateWorkflowStatus('running', { - workflowId: workflowId, - message: "Workflow started" - }); -} - -/** - * Adds a log entry to the workflow - * @param {string} message - Log message - * @param {string} type - Log type ('info', 'warning', 'error', 'success') - * @param {string|null} details - Additional details - * @param {string} agentName - Name of the agent that generated the log - * @param {number} progress - Progress value (0-100) - * @returns {Object} The created log entry - */ -function addLogEntry(message, type = 'info', details = null, agentName = null, progress = null) { - // Stop previous animation - stopWaitingAnimation(); - - console.log(`Adding log entry: ${type} - ${message}${agentName ? ` [${agentName}]` : ''}`); - - const log = { - id: `log_${Date.now()}`, - message, - type, - details, - agentName, - timestamp: new Date().toISOString(), - progress: progress, - status: workflowState.status - }; - - // Ensure logs array exists - if (!workflowState.logs) { - workflowState.logs = []; - } - - // Special formatting for certain message types - if (message.includes("Agent") && message.includes("selected")) { - log.type = "info"; - log.highlighted = true; - } - - if (message.includes("Moderator") && message.includes("analyzing")) { - log.type = "info"; - log.highlighted = true; - } - - if (message.includes("completed") || message.includes("finished")) { - log.type = "success"; - } - - workflowState.logs.push(log); - - // Dispatch event for UI update - const event = new CustomEvent('logsUpdated', { - detail: { logs: workflowState.logs, newLog: log } - }); - document.dispatchEvent(event); - - // If workflow is running, start waiting animation - if (workflowState.status === 'running') { - startWaitingAnimation(log.id); - } - - return log; -} - -/** - * Adds a chat message to the workflow - * @param {Object} message - Message to add - * @returns {Object} The added message - */ -function addChatMessage(message) { - // Ensure message has ID and other required properties - const processedMessage = { - ...message, - id: message.id || `msg_${message.role || 'unknown'}_${Date.now()}`, - documents: message.documents || [], - timestamp: message.timestamp || new Date().toISOString() - }; - - console.log(`Adding chat message (ID: ${processedMessage.id}, Role: ${processedMessage.role || 'unknown'}, Status: ${processedMessage.status || 'none'})`); - - // Ensure chat messages array exists - if (!workflowState.chatMessages) { - workflowState.chatMessages = []; - } - - // Check for duplicates and update or add message - const existingIndex = workflowState.chatMessages.findIndex(m => m.id === processedMessage.id); - if (existingIndex === -1) { - workflowState.chatMessages.push(processedMessage); - } else { - workflowState.chatMessages[existingIndex] = processedMessage; - } - - // IMPORTANT: Handle message status according to state machine spec - if (processedMessage.status === 'last') { - console.log("Last message received, stopping polling without changing workflow status"); - workflowState.pollActive = false; - - // Dispatch a workflow completion event - const completionEvent = new CustomEvent('workflowCompleted', { - detail: { - status: workflowState.status, - message: "All workflow messages received" - } - }); - document.dispatchEvent(completionEvent); - } - - // Dispatch event for UI update with immutable copies - const event = new CustomEvent('chatMessagesUpdated', { - detail: { - chatMessages: [...workflowState.chatMessages], - newMessage: {...processedMessage}, - workflowId: workflowState.workflowId - } - }); - document.dispatchEvent(event); - - return processedMessage; -} - -/** - * Clears all attached files - */ -function clearAttachedFiles() { - userInputState.additionalFiles = []; - - // Dispatch event for UI update - const event = new CustomEvent('filesUpdated', { - detail: { files: userInputState.additionalFiles } - }); - document.dispatchEvent(event); - - // Clear file input - const fileInput = userInputState.domElements.additionalFileInput; - if (fileInput) { - fileInput.value = ''; - } - - console.log("Files cleared from input area"); -} - -/** - * Updates data statistics - * @param {number} sentBytes - Sent bytes - * @param {number} receivedBytes - Received bytes - * @param {number} tokensUsed - Tokens used (for AI models) - */ -function updateDataStats(sentBytes, receivedBytes, tokensUsed = 0) { - // Ensure valid numbers - if (sentBytes && !isNaN(sentBytes)) { - workflowState.dataStats.bytesSent += Math.max(0, parseInt(sentBytes, 10)); - } - - if (receivedBytes && !isNaN(receivedBytes)) { - workflowState.dataStats.bytesReceived += Math.max(0, parseInt(receivedBytes, 10)); - } - - if (tokensUsed && !isNaN(tokensUsed)) { - workflowState.dataStats.tokensUsed += Math.max(0, parseInt(tokensUsed, 10)); - } - - // Dispatch event for UI update - const event = new CustomEvent('dataStatsUpdated', { - detail: { - sentBytes: workflowState.dataStats.bytesSent, - receivedBytes: workflowState.dataStats.bytesReceived, - tokensUsed: workflowState.dataStats.tokensUsed - } - }); - document.dispatchEvent(event); -} - -/** - * Gets current workflow state - * @returns {Object} Workflow state - */ -function getWorkflowState() { - // Return a copy to prevent unintended modifications - return workflowState; -} - -/** - * Gets workflow status - * @returns {string} Workflow status - */ -function getWorkflowStatus() { - return workflowState.status; -} - -/** - * Resets workflow state - */ -function resetWorkflow() { - // Reset state - workflowState = { - status: null, - workflowId: "", - logs: [], - chatMessages: [], - lastPolledLogId: null, - lastPolledMessageId: null, - dataStats: { - bytesSent: 0, - bytesReceived: 0, - tokensUsed: 0 - }, - pollFailCount: 0, - pollActive: false - }; - - // Reset user input - userInputState.promptText = ""; - userInputState.additionalFiles = []; - - // Stop animations - stopWaitingAnimation(); - - // Dispatch event for UI update - const event = new CustomEvent('workflowReset'); - document.dispatchEvent(event); - - console.log("Workflow state reset"); -} - -// Export all functions and state objects -export { - initCoordination, - userInputState, - updateWorkflowStatus, - showInitialPromptView, - setLoadingState, - startWaitingAnimation, - stopWaitingAnimation, - setActiveWorkflow, - addLogEntry, - addChatMessage, - clearAttachedFiles, - updateDataStats, - getWorkflowState, - getWorkflowStatus, - resetWorkflow, - isValidStateTransition -}; \ No newline at end of file diff --git a/static/62_workflowData.js b/static/62_workflowData.js deleted file mode 100644 index 9d167e78..00000000 --- a/static/62_workflowData.js +++ /dev/null @@ -1,541 +0,0 @@ -/** - * Handles all API communication and data processing for the workflow module - */ - -import api from '../shared/apiCalls.js'; -import * as WorkflowCoordination from './workflowCoordination.js'; - -// Reference to the global state -let globalState = null; - -/** - * Initializes the data management layer - * @param {Object} globalStateObj - Global application state - */ -function initDataLayer(globalStateObj) { - console.log("Initializing workflow data layer..."); - globalState = globalStateObj; - console.log("Workflow data layer successfully initialized"); -} - -/** - * Uploads a file and adds it to appropriate list - * @param {File} file - The file to upload - * @returns {Promise} - Processed file object - */ -async function uploadAndAddFile(file) { - try { - let processedFile = null; - - // Check if file already exists - let existingFile = null; - - if (globalState && globalState.mainView && globalState.mainView.availableFiles) { - // First check by name and size (exact match) - existingFile = globalState.mainView.availableFiles.find( - f => f.name === file.name && f.size === file.size - ); - - // If not found, try with just the name - if (!existingFile) { - existingFile = globalState.mainView.availableFiles.find( - f => f.name === file.name - ); - } - } - - if (existingFile) { - // Use the existing file - console.log(`Using existing file: ${existingFile.name} (${existingFile.id})`); - processedFile = existingFile; - } else { - // Upload new file - console.log(`Uploading new file: ${file.name}`); - - try { - processedFile = await api.uploadFile(file); - console.log(`File uploaded successfully: ${processedFile.name} (${processedFile.id})`); - - // Add to global available files - if (globalState && globalState.mainView) { - if (!globalState.mainView.availableFiles) { - globalState.mainView.availableFiles = []; - } - globalState.mainView.availableFiles.push(processedFile); - } - - // Update data statistics using tokensUsed from the response - if (processedFile.tokensUsed) { - WorkflowCoordination.updateDataStats(file.size, processedFile.tokensUsed); - } else { - WorkflowCoordination.updateDataStats(file.size, 0); - } - } catch (uploadError) { - console.error("Error uploading file:", uploadError); - throw uploadError; - } - } - - return processedFile; - } catch (error) { - console.error("Error processing file:", error); - throw error; - } -} - -/** - * Creates a new workflow with the given input - * @param {string} promptText - Text for the workflow prompt - * @param {Array} selectedFiles - Array of selected files - * @returns {Promise} - Created workflow - */ -async function createWorkflow(promptText, selectedFiles) { - try { - // Prepare file IDs - const fileIds = selectedFiles.map(file => file.id); - - // Log the operation - console.log(`Creating new workflow with prompt: "${promptText.substring(0, 50)}${promptText.length > 50 ? '...' : ''}"`, - `and ${fileIds.length} files`); - - // Make API call to create workflow - const response = await api.submitUserInput("", promptText, fileIds); - - // Update data statistics with tokensUsed from response if available - if (response && response.dataStats) { - WorkflowCoordination.updateDataStats( - response.dataStats.bytesSent || 0, - response.dataStats.bytesReceived || 0, - response.dataStats.tokensUsed || 0 - ); - } - - console.log("Workflow creation response:"); - console.log(response); - - return response; - } catch (error) { - console.error("Error creating workflow:", error); - throw error; - } -} - -/** - * Submits user input to a running workflow - * @param {string} workflowId - ID of the workflow - * @param {string} prompt - User message - * @param {Array} listFileId - IDs of additional files - * @returns {Promise} - API response - */ -async function submitUserInput(workflowId, prompt, listFileId = []) { - try { - console.log(`Submitting user input to workflow ${workflowId}`); - console.log(`Prompt: "${prompt.substring(0, 50)}${prompt.length > 50 ? '...' : ''}"`, - `with ${listFileId.length} files`); - - // Make API call - const response = await api.submitUserInput(workflowId, prompt, listFileId); - - // Update data statistics with response stats - if (response && response.dataStats) { - WorkflowCoordination.updateDataStats( - response.dataStats.bytesSent || 0, - response.dataStats.bytesReceived || 0, - response.dataStats.tokensUsed || 0 - ); - } - - console.log("User input submission response:", response); - - return response; - } catch (error) { - console.error("Error submitting user input:", error); - throw error; - } -} - -/** - * Stops a running workflow - * @param {string} workflowId - ID of the workflow - * @returns {Promise} - API response - */ -async function stopWorkflow(workflowId) { - try { - console.log(`Stopping workflow ${workflowId}`); - - // Immediately set pollActive to false to prevent further polling - const workflowState = WorkflowCoordination.getWorkflowState(); - workflowState.pollActive = false; - - // Make API call - const response = await api.stopWorkflow(workflowId); - console.log("Workflow stop response:", response); - return response; - } catch (error) { - console.error("Error stopping workflow:", error); - // Ensure pollActive is set to false even on error - const workflowState = WorkflowCoordination.getWorkflowState(); - workflowState.pollActive = false; - throw error; - } -} - -/** - * Polls workflow status and updates state accordingly - * @param {string} workflowId - ID of the workflow - */ -async function pollWorkflowStatus(workflowId) { - try { - if (!workflowId) { - console.warn("Cannot poll workflow status: No workflow ID provided"); - return; - } - - const workflowState = WorkflowCoordination.getWorkflowState(); - - // Only poll if we have an active polling flag - if (!workflowState.pollActive) { - console.log(`Polling stopped: pollActive=${workflowState.pollActive}, status=${workflowState.status}`); - return; - } - - console.log(`Polling status for workflow ${workflowId}, pollActive=${workflowState.pollActive}, status=${workflowState.status}`); - - // Get workflow status from API - const statusResponse = await api.getWorkflowStatus(workflowId); - - // Check if polling should continue after API call - // This prevents race conditions where polling state changes during API call - if (!workflowState.pollActive) { - console.log(`Polling aborted after API call: pollActive=${workflowState.pollActive}`); - return; - } - - if (!statusResponse) { - console.warn("No status response received"); - return; - } - - console.log(`Received status for workflow ${workflowId}:`, statusResponse); - - // Update stats if available - if (statusResponse.dataStats) { - WorkflowCoordination.updateDataStats( - statusResponse.dataStats.bytesSent || 0, - statusResponse.dataStats.bytesReceived || 0, - statusResponse.dataStats.tokensUsed || 0 - ); - } - - // Get status value from response (may be in different locations in the response) - const status = statusResponse.status || - (statusResponse.workflow ? statusResponse.workflow.status : null); - - if (!status) { - console.warn("Status value not found in response"); - return; - } - - if (status !== workflowState.status) { - console.log(`Workflow status changed: ${workflowState.status} → ${status}`); - - // Update state based on new status - WorkflowCoordination.updateWorkflowStatus(status, { - message: `Workflow status updated to: ${status}`, - systemMessage: getSystemMessageForStatus(status) - }); - - // If status is 'failed' or 'stopped', stop polling immediately - // For 'completed', polling continues until 'last' message is received - if (status === 'failed' || status === 'stopped') { - workflowState.pollActive = false; - console.log(`Workflow ${workflowId} reached terminal state: ${status}, polling stopped`); - return; - } - } - - // Poll for logs and messages - await Promise.all([ - pollWorkflowLogs(workflowId), - pollWorkflowMessages(workflowId) - ]); - - // Check polling active flag again after API calls to avoid race conditions - if (workflowState.pollActive) { - setTimeout(() => pollWorkflowStatus(workflowId), 2000); - } else { - console.log(`Polling stopped after API calls: pollActive=${workflowState.pollActive}`); - } - - } catch (error) { - console.error("Error polling workflow status:", error); - - // Get current state for error handling - const workflowState = WorkflowCoordination.getWorkflowState(); - - // Implement retry with exponential backoff only if we're still supposed to be polling - if (workflowState.pollActive) { - const backoffTime = workflowState.pollFailCount ? - Math.min(2000 * Math.pow(1.5, workflowState.pollFailCount), 16000) : - 2000; - - console.log(`Retrying poll in ${backoffTime}ms (attempt ${(workflowState.pollFailCount || 0) + 1})`); - setTimeout(() => pollWorkflowStatus(workflowId), backoffTime); - - // Update fail count - workflowState.pollFailCount = (workflowState.pollFailCount || 0) + 1; - - // After multiple failures, show error and stop polling - if (workflowState.pollFailCount > 5) { - WorkflowCoordination.addLogEntry( - "Connection issues detected. Please check your network connection.", - "error" - ); - - // Set failed state and stop polling after multiple failures - WorkflowCoordination.updateWorkflowStatus('failed', { - message: "Workflow failed due to connection issues", - systemMessage: "Failed to connect to the server" - }); - workflowState.pollActive = false; - } - } - } -} - -/** - * Gets appropriate system message for status change - * @param {string} status - New workflow status - * @returns {string} - System message - */ -function getSystemMessageForStatus(status) { - switch (status) { - case 'completed': - return "Workflow completed successfully"; - case 'failed': - return "Workflow failed to complete"; - case 'stopped': - return "Workflow was stopped"; - default: - return null; - } -} - -/** - * Polls workflow logs and updates UI - * @param {string} workflowId - ID of the workflow - */ -async function pollWorkflowLogs(workflowId) { - try { - // Get current workflow state - const workflowState = WorkflowCoordination.getWorkflowState(); - - // Get logs from API - console.info("polling api request param id:", workflowState.lastPolledLogId); - const logs = await api.getWorkflowLogs(workflowId, workflowState.lastPolledLogId); - - console.log("Received workflow logs:", logs); // DEBUG - - // Update data statistics if available in response - if (logs && logs.dataStats) { - WorkflowCoordination.updateDataStats(0, logs.dataStats.bytesReceived || 0); - } - - // Properly handle different response formats - let logsArray = []; - if (Array.isArray(logs)) { - logsArray = logs; - } else{ - console.log("ERROR: Log meessages in wrong format") - return; - } - - if (!logsArray || logsArray.length === 0) { - return; - } - - console.log(`Processing ${logsArray.length} new logs`); // Debug logging - - // Process new logs - const existingLogIds = new Set(workflowState.logs.map(log => log.id)); - - logsArray.forEach(log => { - // Only process new logs - if (!existingLogIds.has(log.id)) { - // Ensure log has all required properties - const processedLog = { - id: log.id, - message: log.message || 'No message', - type: log.type || 'info', - timestamp: log.timestamp || new Date().toISOString(), - agentName: log.agentName || null, - details: log.details || null, - progress: log.progress !== undefined ? log.progress : undefined, - status: log.status || null - }; - - // Add log entry - WorkflowCoordination.addLogEntry( - processedLog.message, - processedLog.type, - processedLog.details, - processedLog.agentName, - processedLog.progress - ); - - // Store ID of last processed log - workflowState.lastPolledLogId = log.id; - console.info("polling api next param id:", workflowState.lastPolledLogId); - - } - }); - } catch (error) { - console.error("Error polling workflow logs:", error); - - // Fix: Set pollActive to false using correct boolean value - const workflowState = WorkflowCoordination.getWorkflowState(); - - // Only mark as failed after repeated errors in running state - if (workflowState.pollFailCount > 3 && workflowState.status === 'running') { - WorkflowCoordination.updateWorkflowStatus('failed', { - message: "Failed to retrieve workflow logs", - systemMessage: "Error communicating with server" - }); - workflowState.pollActive = false; - } - } -} - -/** - * Polls workflow messages and updates UI - * @param {string} workflowId - ID of the workflow - */ -async function pollWorkflowMessages(workflowId) { - try { - // Get current workflow state - const workflowState = WorkflowCoordination.getWorkflowState(); - - // Get messages from API - const messagesResponse = await api.getWorkflowMessages(workflowId, workflowState.lastPolledMessageId); - - // Extract messages array and handle different response formats - const messages = Array.isArray(messagesResponse) ? messagesResponse : - (messagesResponse && messagesResponse.messages ? messagesResponse.messages : []); - - if (!messages || messages.length === 0) { - return; - } - - // Process new messages - const existingMessageIds = new Set(workflowState.chatMessages.map(msg => msg.id)); - - messages.forEach(message => { - // Only process new messages - if (!existingMessageIds.has(message.id)) { - const newMessage = { - id: message.id, - agentName: message.agentName || '', - content: message.content || '', - role: message.role || '', - timestamp: message.startedAt || message.timestamp || new Date().toISOString(), - documents: message.documents || [], - status: message.status || null - }; - - WorkflowCoordination.addChatMessage(newMessage); - workflowState.lastPolledMessageId = message.id; - - // Check for last message - if (message.status === 'last') { - console.log("Last message found, stopping polling"); - workflowState.pollActive = false; - } - } - }); - - } catch (error) { - console.error("Error polling workflow messages:", error); - } -} - -/** - * Deletes a message from a workflow - * @param {string} workflowId - ID of the workflow - * @param {string} messageId - ID of the message to delete - * @returns {Promise} - True if successful, false otherwise - */ -async function deleteWorkflowMessage(workflowId, messageId) { - if (!workflowId || !messageId) { - console.error("Invalid parameters for deleteWorkflowMessage"); - return false; - } - - try { - // Make API call - const success = await api.deleteWorkflowMessage(workflowId, messageId); - - console.log("Delete message response:", success); - - // Return success status - return Boolean(success); - } catch (error) { - console.error("Error deleting message:", error); - - // Be forgiving with 404 errors - the message might already be gone - if (error.message && error.message.includes("404")) { - console.log("Message not found (404), considering it deleted"); - return true; - } - - return false; - } -} - -/** - * Deletes a file from a workflow message - * @param {string} workflowId - ID of the workflow - * @param {string} messageId - ID of the message - * @param {string} fileId - ID of the file to delete - * @returns {Promise} - True if successful, false otherwise - */ -async function deleteFileFromMessage(workflowId, messageId, fileId) { - // Delete file inside message - - try { - console.log(`Deleting file from message: workflow=${workflowId}, message=${messageId}, file=${fileId}`); - - // Make API call - const success = await api.deleteFileFromMessage(workflowId, messageId, fileId); - - console.log("File deletion response:", success); - - // Return success status - return Boolean(success); - - } - catch (error) { - console.error("Error deleting file from message:", error); - - // If file not found, still return success to update UI - if (error.message && (error.message.includes("404") || error.message.includes("not found"))) { - console.log("File not found, removing from UI"); - return true; - } - - return false; - } -} - -// Export functions -export { - initDataLayer, - createWorkflow, - submitUserInput, - stopWorkflow, - pollWorkflowStatus, - pollWorkflowLogs, - pollWorkflowMessages, - uploadAndAddFile, - deleteWorkflowMessage, - deleteFileFromMessage -}; \ No newline at end of file diff --git a/static/63_workflowUi.js b/static/63_workflowUi.js deleted file mode 100644 index 8c6deedb..00000000 --- a/static/63_workflowUi.js +++ /dev/null @@ -1,1513 +0,0 @@ -/** - * Responsible for all UI rendering and updates in the workflow module - * Purely renders UI based on state, contains no business logic - */ - -import api from '../shared/apiCalls.js'; -import * as WorkflowUtils from './workflowUtils.js'; - -// DOM elements -let domElements = {}; - -// Current preview file -let currentPreviewFile = null; - -/** - * Initializes the UI components - * @param {Object} workflowState - Current workflow state - * @param {Object} callbackFunctions - Callback functions for UI events - */ -function initUI(workflowState, callbackFunctions) { - console.log("Initializing workflow UI..."); - - // Store callback functions - const callbacks = { - onLayoutChange: callbackFunctions.onLayoutChange || (() => {}), - onResetWorkflow: callbackFunctions.onResetWorkflow || (() => {}), - onStopWorkflow: callbackFunctions.onStopWorkflow || (() => {}) - }; - - // Set up event listeners for the custom events from coordination layer - document.addEventListener('workflowStatusChanged', (event) => { - updateWorkflowButtonsState(event.detail); - }); - - document.addEventListener('logsUpdated', (event) => { - renderLogs(event.detail.logs, event.detail.waitingLogId); - }); - - document.addEventListener('chatMessagesUpdated', (event) => { - renderChatMessages(event.detail.chatMessages, event.detail.workflowId); - }); - - document.addEventListener('dataStatsUpdated', (event) => { - updateDataStatistics(event.detail.sentBytes, event.detail.receivedBytes, event.detail.tokensUsed); - }); - - document.addEventListener('filesUpdated', (event) => { - renderAdditionalFiles(event.detail.files); - }); - - // Add listener for workflow completion - document.addEventListener('workflowCompleted', (event) => { - showWorkflowCompletionIndicator(event.detail); - }); - - // Initialize buttons - setupUIButtons(callbacks); - - // Initialize layout controls - initializeFixedLayout(); - setupHeaderToggle(); - - // Initial renders - renderLogs(workflowState.logs || []); - renderChatMessages(workflowState.chatMessages || [], workflowState.workflowId); - updateDataStatistics( - workflowState.dataStats ? workflowState.dataStats.bytesSent : 0, - workflowState.dataStats ? workflowState.dataStats.bytesReceived : 0, - workflowState.dataStats ? workflowState.dataStats.tokensUsed : 0 - ); - updateWorkflowButtonsState({ - status: workflowState.status, - workflowId: workflowState.workflowId - }); - - console.log("Workflow UI successfully initialized"); -} - -/** - * Sets up UI buttons and their event handlers - * @param {Object} callbacks - Callback functions - */ -function setupUIButtons(callbacks) { - // Reset button - const resetBtn = document.getElementById('reset-btn'); - if (resetBtn) { - resetBtn.addEventListener('click', callbacks.onResetWorkflow); - } - - // Stop button - const stopBtn = document.getElementById('stop-workflow-btn'); - if (stopBtn) { - stopBtn.addEventListener('click', callbacks.onStopWorkflow); - } - - // File preview controls - const downloadBtn = document.getElementById('download-file-btn'); - if (downloadBtn) { - downloadBtn.addEventListener('click', downloadPreviewFile); - } - - const copyBtn = document.getElementById('copy-file-btn'); - if (copyBtn) { - copyBtn.addEventListener('click', copyPreviewFileContent); - } - - const closePreviewBtn = document.getElementById('close-file-preview-btn'); - if (closePreviewBtn) { - closePreviewBtn.addEventListener('click', () => { - const container = document.getElementById('file-preview-container'); - if (container) { - container.style.display = 'none'; - } - }); - } -} - -/** - * Updates the status of workflow buttons based on current state - * @param {Object} stateInfo - Object containing state information - */ -function updateWorkflowButtonsState(stateInfo) { - // Extract status (supports both direct status and event detail format) - const status = stateInfo.status || (stateInfo.detail ? stateInfo.detail.status : null); - const workflowId = stateInfo.workflowId || (stateInfo.detail ? stateInfo.detail.workflowId : null); - - if (status === undefined) return; - - console.log(`Updating workflow buttons for status: ${status}`); - - const stopBtn = document.getElementById('stop-workflow-btn'); - const resetBtn = document.getElementById('reset-btn'); - const sendBtn = document.getElementById('send-user-message-btn'); - const userInput = document.getElementById('user-message-input'); - - // Update stop button - if (stopBtn) { - if (status === 'running') { - stopBtn.style.display = 'inline-block'; - stopBtn.disabled = false; - stopBtn.innerHTML = ' Stop'; - } else { - stopBtn.style.display = 'none'; - } - } - - // Update reset button - if (resetBtn) { - resetBtn.disabled = status === 'running'; - } - - // Update send button and input field - const isInputEnabled = status !== 'running'; - - if (sendBtn) { - sendBtn.disabled = !isInputEnabled; - - // Only update text if not in loading state (no spinner) - if (!sendBtn.querySelector('.fa-spinner')) { - const isInitial = !workflowId && (status === null); - sendBtn.innerHTML = isInitial ? - ' Start' : - ' Send'; - } - } - - // Update input field - if (userInput) { - userInput.disabled = !isInputEnabled; - - // Update placeholder based on state - if (status === 'completed') { - userInput.placeholder = "Workflow completed. Enter a new prompt to continue..."; - } else if (status === 'failed') { - userInput.placeholder = "Workflow failed. Enter a new prompt to retry..."; - } else if (status === 'stopped') { - userInput.placeholder = "Workflow stopped. Enter a new prompt to resume..."; - } else if (!workflowId) { - userInput.placeholder = "Enter a prompt to start..."; - } else { - userInput.placeholder = "Enter your message..."; - } - } - - // Update workflow status indicator - updateWorkflowStatusIndicator(status); -} - -/** - * Updates the workflow status indicator in the UI - * @param {string} status - Workflow status - */ -function updateWorkflowStatusIndicator(status) { - // Find or create status indicator - let statusIndicator = document.getElementById('workflow-status-indicator'); - - if (!statusIndicator) { - statusIndicator = document.createElement('div'); - statusIndicator.id = 'workflow-status-indicator'; - - // Insert after header or as first child of workflow container - const header = document.querySelector('.workflow-header'); - const container = document.querySelector('.workflow-container'); - - if (header && header.parentNode) { - header.parentNode.insertBefore(statusIndicator, header.nextSibling); - } else if (container) { - container.insertBefore(statusIndicator, container.firstChild); - } - } - - // Set status classes and text - statusIndicator.className = `status-indicator status-${status || 'null'}`; - - let statusText = ''; - let statusIcon = ''; - - switch (status) { - case 'running': - statusText = 'Workflow Running'; - statusIcon = ''; - break; - case 'completed': - statusText = 'Workflow Completed'; - statusIcon = ''; - break; - case 'failed': - statusText = 'Workflow Failed'; - statusIcon = ''; - break; - case 'stopped': - statusText = 'Workflow Stopped'; - statusIcon = ''; - break; - default: - statusText = 'Ready to Start'; - statusIcon = ''; - } - - statusIndicator.innerHTML = `${statusIcon} ${statusText}`; - - // Hide indicator if status is null - if (status === null) { - statusIndicator.style.display = 'none'; - } else { - statusIndicator.style.display = 'flex'; - } -} - -/** - * Shows a workflow completion indicator - * @param {Object} detail - Completion details - */ -function showWorkflowCompletionIndicator(detail) { - const chatContainer = document.getElementById('agent-chat-messages'); - if (!chatContainer) return; - - // Create completion indicator - const completionIndicator = document.createElement('div'); - completionIndicator.className = 'workflow-completion-indicator'; - - let message = detail.message || 'Workflow completed'; - let className = 'completion-success'; - let icon = 'check-circle'; - - if (detail.status === 'failed') { - message = detail.message || 'Workflow failed'; - className = 'completion-error'; - icon = 'exclamation-circle'; - } else if (detail.status === 'stopped') { - message = detail.message || 'Workflow stopped'; - className = 'completion-warning'; - icon = 'stop-circle'; - } - - completionIndicator.classList.add(className); - completionIndicator.innerHTML = ` - - ${message} - `; - - // Add to chat - chatContainer.appendChild(completionIndicator); - - // Scroll to bottom - chatContainer.scrollTop = chatContainer.scrollHeight; - - // Remove after delay - setTimeout(() => { - completionIndicator.classList.add('fade-out'); - setTimeout(() => { - if (completionIndicator.parentNode) { - completionIndicator.parentNode.removeChild(completionIndicator); - } - }, 500); - }, 5000); -} - -/** - * Renders logs in the UI - * @param {Array} logs - Array of log entries - * @param {string} waitingLogId - ID of the log that should show a waiting animation - */ -function renderLogs(logs, waitingLogId = null) { - const logContainer = document.getElementById('execution-log'); - if (!logContainer) return; - - // Check if user has scrolled to bottom - const isAtBottom = isUserAtBottom(logContainer); - - // If no logs, show empty state - if (!logs || logs.length === 0) { - logContainer.innerHTML = '
No logs yet. Workflow execution logs will appear here.
'; - return; - } - - // Build logs HTML - let logsHTML = ''; - - // Deduplicate logs by grouping those with the same message and agent - const uniqueLogs = []; - const seenMessageAgentPairs = new Map(); - - // Process logs backwards (newest first) to keep the latest one in each group - for (let i = logs.length - 1; i >= 0; i--) { - const log = logs[i]; - if (!log) continue; - - const key = `${log.message}|${log.agentName || ''}`; - - // If we haven't seen this message+agent combo or this is a special log type, add it - if (!seenMessageAgentPairs.has(key) || - log.type === 'error' || - log.type === 'warning' || - log.highlighted) { - - seenMessageAgentPairs.set(key, uniqueLogs.length); - uniqueLogs.unshift(log); // Add to beginning to maintain original order - } else { - // If we already have this message, update the existing one with any new info - const existingIndex = seenMessageAgentPairs.get(key); - - // Keep the newest ID (for polling reference) - uniqueLogs[existingIndex].id = log.id; - - // Update progress if present - if (log.progress !== undefined && log.progress !== null) { - uniqueLogs[existingIndex].progress = log.progress; - } - - // Update details if present - if (log.details && !uniqueLogs[existingIndex].details) { - uniqueLogs[existingIndex].details = log.details; - } - - // Update waiting status if needed - if (log.waiting) { - uniqueLogs[existingIndex].waiting = true; - } - } - } - - // Find the latest log with progress information and mark it - let latestProgressLog = null; - for (let i = uniqueLogs.length - 1; i >= 0; i--) { - const log = uniqueLogs[i]; - if (log && log.progress !== undefined && log.progress !== null) { - latestProgressLog = log; - break; - } - } - - // Now render the deduplicated logs - uniqueLogs.forEach((log, index) => { - if (!log) return; // Skip invalid logs - - const logId = log.id || `log_${Date.now()}_${Math.random().toString(36).substring(2, 7)}`; - const logType = log.type || 'info'; - const logMessage = log.message || 'No message'; - const logTimestamp = log.timestamp ? new Date(log.timestamp).toLocaleTimeString() : new Date().toLocaleTimeString(); - - // FIX 1: Only show waiting animation on the last log entry - // All older logs should have no animation - const isLastLog = index === uniqueLogs.length - 1; - const shouldShowWaiting = isLastLog && (waitingLogId === null || waitingLogId === logId); - - const logWaiting = shouldShowWaiting ? '' : ''; - - // Extract agent name and format it - let agentHTML = ''; - if (log.agentName) { - // Agent-specific colors - const agentClass = `agent-${log.agentName.toLowerCase().replace(/\s+/g, '-')}`; - agentHTML = `[${log.agentName}]`; - } - - // Extra classes for styling - const highlightClass = log.highlighted ? 'highlighted' : ''; - - // FIX 1: Progress indicator - only show active progress for the latest log - // All previous logs should be either at 100% or have no progress bar - let progressHTML = ''; - if (log.progress !== undefined && log.progress !== null) { - // For the latest log, show actual progress - // For all older logs, force to 100% - const progressPercent = isLastLog ? - Math.min(100, Math.max(0, parseInt(log.progress, 10))) : 100; - - progressHTML = ` -
-
- ${progressPercent}% -
- `; - } - - // Collapsible details - if (log.details) { - // Format the log message for display - truncate if too long - const shortMessage = truncateLogMessage(logMessage, 60); - const isCollapsed = !log.expanded; // Default to collapsed unless explicitly expanded - - logsHTML += ` -
-
- [${logTimestamp}] - ${agentHTML} - ${shortMessage} - ${progressHTML} - ${logWaiting} - ${isCollapsed ? '▾' : '▴'} -
-
- ${WorkflowUtils.formatMarkdownLike(log.details)} -
-
- `; - } else { - logsHTML += ` -
- [${logTimestamp}] - ${agentHTML} - ${logMessage} - ${progressHTML} - ${logWaiting} -
- `; - } - }); - - // Batch DOM updates using requestAnimationFrame to reduce reflow violations - requestAnimationFrame(() => { - logContainer.innerHTML = logsHTML; - - // Add toggle listener for collapsible details - logContainer.querySelectorAll('.log-toggle').forEach(toggle => { - toggle.addEventListener('click', () => { - const logEntry = toggle.closest('.log-entry'); - const content = logEntry.querySelector('.log-content'); - const isVisible = content.style.display !== 'none'; - - // Toggle display - content.style.display = isVisible ? 'none' : 'block'; - toggle.textContent = isVisible ? '▾' : '▴'; - - // Update full message when expanded - if (!isVisible) { - const logMessage = logEntry.querySelector('.log-message'); - const fullMessage = logMessage.getAttribute('title'); - if (fullMessage) { - logMessage.textContent = fullMessage; - } - } else { - // Revert to truncated when collapsed - const logMessage = logEntry.querySelector('.log-message'); - const fullMessage = logMessage.getAttribute('title'); - if (fullMessage) { - logMessage.textContent = truncateLogMessage(fullMessage, 60); - } - } - - // Store expanded state for this log ID - const logId = logEntry.getAttribute('data-log-id'); - if (logId) { - const log = logs.find(l => l.id === logId); - if (log) { - log.expanded = !isVisible; - } - } - }); - }); - - // Auto-scroll if user was at bottom - using requestAnimationFrame to avoid forced reflow - if (isAtBottom) { - requestAnimationFrame(() => { - logContainer.scrollTop = logContainer.scrollHeight; - }); - } - }); -} - -/** - * Truncates a log message to a specified length - * @param {string} message - The message to truncate - * @param {number} maxLength - Maximum length before truncation - * @returns {string} - Truncated message - */ -function truncateLogMessage(message, maxLength = 60) { - if (!message || message.length <= maxLength) { - return message; - } - - return message.substring(0, maxLength) + '...'; -} - -/** - * Renders chat messages in the UI - * @param {Array} chatMessages - Array of chat messages - * @param {string} currentWorkflowId - ID of the current workflow - */ -function renderChatMessages(chatMessages, currentWorkflowId) { - const chatContainer = document.getElementById('agent-chat-messages'); - const emptyStateContainer = document.getElementById('empty-chat-state'); - - if (!chatContainer) return; - - // If no messages, show empty state - if (!chatMessages || chatMessages.length === 0) { - if (emptyStateContainer) { - emptyStateContainer.style.display = 'flex'; - } - chatContainer.style.display = 'none'; - return; - } - - // Show chat container, hide empty state - if (emptyStateContainer) { - emptyStateContainer.style.display = 'none'; - } - - chatContainer.style.display = 'block'; - - // Remember scroll position - const wasAtBottom = isUserAtBottom(chatContainer); - - // Clear container - chatContainer.innerHTML = ''; - - // Render each message - chatMessages.forEach((message, index) => { - if (!message) return; // Skip invalid messages - - const messageDiv = document.createElement('div'); - - if (message.type === 'system') { - // System message - messageDiv.className = 'chat-message system-message'; - messageDiv.innerHTML = `
${message.content || 'No message'}
`; - } else { - // Standard message (user or assistant) - const isLastMessage = index === chatMessages.length - 1; - const isCollapsed = !isLastMessage && message.role !== 'user'; // Only last message expanded by default, user messages always expanded - const isUserMessage = message.role === 'user'; - - // Apply classes - messageDiv.className = `chat-message agent-message ${isCollapsed ? 'collapsed' : ''} ${isUserMessage ? 'user' : 'assistant'}`; - - // Check for message status - if (message.status) { - messageDiv.setAttribute('data-status', message.status); - - // Handle "last" message status - completion indicator - if (message.status === 'last') { - messageDiv.classList.add('last-message'); - } - } - - // Format content - let formattedContent = message.content || ''; - - // Delete button for messages - let deleteButton = ''; - if (currentWorkflowId && message.id) { - deleteButton = ` -
- -
- `; - } - - // File attachments - let filesHTML = ''; - if (message.documents && message.documents.length > 0) { - filesHTML = ` -
-
Attached Files (${message.documents.length}):
-
    - `; - - message.documents.forEach(doc => { - // Extract file information from the document object - const fileInfo = extractFileInfo(doc); - - if (fileInfo) { - const fileIcon = WorkflowUtils.getFileTypeIcon({mimeType: fileInfo.contentType}); - - // IMPORTANT: Use fileId for data-file-id if available, otherwise fall back to id - const fileIdForAPI = fileInfo.fileId || fileInfo.id; - - filesHTML += ` -
  • - - ${fileInfo.name} -
    - - -
    -
    • - `; - } - }); - - filesHTML += ` -
-
- `; - } - - // Status indicator for 'last' messages - let statusIndicator = ''; - if (message.status === 'last') { - statusIndicator = '
Final Response
'; - } - - messageDiv.innerHTML = ` -
- ${isUserMessage ? (window.globalState?.user?.fullName || 'You') : (message.agentName || 'Assistant')} - ${new Date(message.timestamp || new Date()).toLocaleTimeString()} - ${deleteButton} -
-
${WorkflowUtils.formatMarkdownLike(formattedContent)}
- ${filesHTML} - ${statusIndicator} - ${message.role !== 'user' ? `
${isCollapsed ? 'Show more' : 'Show less'}
` : ''} - `; - } - - chatContainer.appendChild(messageDiv); - }); - - // Set up toggle buttons - setupMessageToggles(chatContainer); - - // Set up file actions - setupFileActions(chatContainer, chatMessages, currentWorkflowId); - - // Set up message delete buttons - setupMessageDeleteButtons(chatContainer, currentWorkflowId); - - // Auto-scroll to bottom if user was at bottom - if (wasAtBottom) { - chatContainer.scrollTop = chatContainer.scrollHeight; - } -} - -/** - * Extracts file information from a document object - * Prioritizes the numeric fileId for API operations - * @param {Object} doc - Document object - * @returns {Object|null} - Extracted file info or null if invalid - */ -function extractFileInfo(doc) { - // Initialize with default values - let fileInfo = { - fileId: null, - name: 'Unknown File', - contentType: 'application/octet-stream', - size: 0 - }; - - try { - // Extract numeric fileId - if (doc.fileId !== undefined && doc.fileId !== null) { - fileInfo.fileId = Number(doc.fileId); - } - - // If no valid numeric ID found, return null - if (fileInfo.fileId === null || isNaN(fileInfo.fileId)) { - console.warn("No valid numeric fileId found in document:", doc); - return null; - } - - // Extract other properties based on available data - if (doc.source && doc.source.type === 'file') { - fileInfo.name = doc.source.name || 'Unknown File'; - fileInfo.contentType = doc.source.content_type || doc.source.mimeType || 'application/octet-stream'; - fileInfo.size = doc.source.size || 0; - } else { - // MODIFIED: Combine name and ext if both are available - if (doc.name && doc.ext) { - fileInfo.name = `${doc.name}.${doc.ext}`; - } else { - fileInfo.name = doc.name || 'Unknown File'; - } - - fileInfo.contentType = doc.contentType || doc.content_type || doc.mimeType || 'application/octet-stream'; - fileInfo.size = doc.size || 0; - } - - return fileInfo; - - } catch (error) { - console.error("Error extracting file info:", error); - return null; - } -} - -/** - * Sets up toggle buttons for expanding/collapsing messages - * @param {HTMLElement} container - Container with messages - */ -function setupMessageToggles(container) { - container.querySelectorAll('.toggle-content').forEach(toggle => { - toggle.addEventListener('click', () => { - const messageEl = toggle.closest('.chat-message'); - if (messageEl) { - messageEl.classList.toggle('collapsed'); - toggle.textContent = messageEl.classList.contains('collapsed') ? 'Show more' : 'Show less'; - } - }); - }); -} - -/** - * Sets up file actions (preview, delete) for message attachments - * @param {HTMLElement} container - Container with messages - * @param {Array} chatMessages - Array of chat messages - * @param {string} currentWorkflowId - ID of the current workflow - */ -function setupFileActions(container, chatMessages, currentWorkflowId) { - // File preview buttons - container.querySelectorAll('.preview-file-btn').forEach(btn => { - btn.addEventListener('click', async () => { - // Get fileId attribute and ensure it's a number - const fileIdAttr = btn.getAttribute('data-file-id'); - const fileId = !isNaN(Number(fileIdAttr)) ? Number(fileIdAttr) : null; - - if (!fileId) { - window.utils.showToast("Preview Error", "No valid numeric file ID for preview", "error"); - return; - } - - console.log(`Previewing file ID: ${fileId}`); - - // Find file info in messages - let file = null; - - // Try to find in globalState first - if (window.globalState?.mainView?.availableFiles) { - file = window.globalState.mainView.availableFiles.find(f => - (typeof f.fileId === 'number' && f.fileId === fileId) || - (f.fileId !== undefined && Number(f.fileId) === fileId) - ); - } - - // If not found in globalState, search in messages - if (!file) { - // Search through all messages - for (const message of chatMessages) { - if (!message.documents) continue; - - for (const doc of message.documents) { - // Extract file info - const fileInfo = extractFileInfo(doc); - if (fileInfo && fileInfo.fileId === fileId) { - // Create a file object with the necessary properties for preview - file = { - ...fileInfo, - contents: doc.contents || [], - data: doc.data || null, - base64Encoded: doc.base64Encoded || false - }; - break; - } - } - - if (file) break; - } - } - - if (file) { - previewFile(file); - - // Enable download and copy buttons - const downloadBtn = document.getElementById('download-file-btn'); - const copyBtn = document.getElementById('copy-file-btn'); - - if (downloadBtn) downloadBtn.disabled = false; - if (copyBtn) copyBtn.disabled = false; - } else { - window.utils.showToast("Preview Error", "File not found for preview", "error"); - } - }); - }); - - // File delete buttons - container.querySelectorAll('.delete-file-btn').forEach(btn => { - btn.addEventListener('click', async () => { - const fileIdAttr = btn.getAttribute('data-file-id'); - const messageId = btn.getAttribute('data-message-id'); - - // Require numeric fileId - const fileId = !isNaN(Number(fileIdAttr)) ? Number(fileIdAttr) : null; - - if (!fileId || !messageId || !currentWorkflowId) { - window.utils.showToast("Delete Error", "Missing required information or invalid file ID", "error"); - return; - } - - try { - // Find file details before deletion - const message = chatMessages.find(msg => msg.id === messageId); - if (!message) { - throw new Error(`Message with ID ${messageId} not found`); - } - - // Find the file to get details - let fileName = "File"; - - if (message.documents) { - for (const doc of message.documents) { - const fileInfo = extractFileInfo(doc); - if (fileInfo && fileInfo.fileId === fileId) { - fileName = fileInfo.name || "File"; - break; - } - } - } - - // Call API to delete the file with numeric fileId - console.log(`Deleting file from message: workflow=${currentWorkflowId}, message=${messageId}, file=${fileId}`); - const success = await api.deleteFileFromMessage(currentWorkflowId, messageId, fileId); - - if (success) { - window.utils.showToast("Success", `${fileName} was successfully deleted`, "success"); - - // Hide the file element in the UI - const fileElement = btn.closest('.file-item'); - if (fileElement) { - fileElement.style.display = 'none'; - } - } else { - window.utils.showToast("Delete Failed", "Could not delete the file", "error"); - } - } catch (error) { - console.error(`Error deleting file: ${error.message}`); - window.utils.showToast("Error", `Delete failed: ${error.message}`, "error"); - } - }); - }); -} - -/** - * Sets up message delete buttons - * @param {HTMLElement} container - Container with messages - * @param {string} workflowId - ID of the current workflow - */ -function setupMessageDeleteButtons(container, workflowId) { - container.querySelectorAll('.message-delete-btn').forEach(btn => { - btn.addEventListener('click', async () => { - const messageId = btn.getAttribute('data-message-id'); - - if (!messageId || !workflowId) return; - - if (confirm('Are you sure you want to delete this message?')) { - try { - console.log(`Deleting message: workflow=${workflowId}, message=${messageId}`); - const success = await api.deleteWorkflowMessage(workflowId, messageId); - if (success) { - // Remove message from DOM - const messageEl = btn.closest('.chat-message'); - if (messageEl && messageEl.parentNode) { - messageEl.parentNode.removeChild(messageEl); - } - window.utils.showToast("Success", "Message deleted", "success"); - } else { - window.utils.showToast("Delete Failed", "Could not delete the message", "error"); - } - } catch (error) { - console.error(`Error deleting message: ${error.message}`); - window.utils.showToast("Error", `Delete failed: ${error.message}`, "error"); - } - } - }); - }); -} - -/** - * Renders the additional files list - * @param {Array} files - Array of file objects - */ -function renderAdditionalFiles(files) { - const container = document.getElementById('additional-files-container'); - if (!container) return; - - container.innerHTML = ''; - - if (!files || files.length === 0) return; - - files.forEach((file, index) => { - const fileEl = document.createElement('div'); - fileEl.className = 'additional-file-item'; - - // Add status class based on file parsing success - if (file.hasOwnProperty('isExtracted')) { - fileEl.classList.add(file.isExtracted ? 'parsing-success' : 'parsing-failed'); - } - - fileEl.innerHTML = ` - - ${file.name} - ${file.hasOwnProperty('isExtracted') && !file.isExtracted ? - '⚠️' : ''} - ${WorkflowUtils.formatFileSize(file.size)} - - - - `; - container.appendChild(fileEl); - }); - - // Add click handlers for remove buttons - container.querySelectorAll('.remove-additional-file').forEach(btn => { - btn.addEventListener('click', () => { - const index = parseInt(btn.getAttribute('data-index'), 10); - - // Dispatch custom event for file removal - const event = new CustomEvent('removeAdditionalFile', { - detail: { index: index } - }); - document.dispatchEvent(event); - }); - }); -} - -/** - * Updates the visualization of prompt and files - */ -function updatePromptVisualization() { - const userInputArea = document.getElementById('user-input-area'); - if (!userInputArea) return; - - // Find or create the file preview area - let filePreviewArea = document.getElementById('selected-files-preview'); - if (!filePreviewArea) { - filePreviewArea = document.createElement('div'); - filePreviewArea.id = 'selected-files-preview'; - filePreviewArea.className = 'selected-files-preview'; - userInputArea.appendChild(filePreviewArea); - } - - // Get attached files from custom event - const filesEvent = new CustomEvent('getAttachedFiles', { - detail: { files: [] } - }); - document.dispatchEvent(filesEvent); - - const files = filesEvent.detail.files || []; - - // If no files, hide the preview - if (!files.length) { - filePreviewArea.style.display = 'none'; - filePreviewArea.innerHTML = ''; - return; - } - - // Show files - filePreviewArea.style.display = 'block'; - filePreviewArea.innerHTML = ` -
- ${files.length} ${files.length === 1 ? 'file' : 'files'} attached: -
-
    - `; - - const filesList = filePreviewArea.querySelector('.files-preview-list'); - - files.forEach(file => { - const item = document.createElement('li'); - item.className = 'file-preview-item'; - - // Add status class based on file parsing success - const extractionClass = file.hasOwnProperty('isExtracted') ? - (file.isExtracted ? 'extracted' : 'extraction-failed') : ''; - - // IMPORTANT: Use fileId for API operations if available, otherwise fall back to id - const fileIdForAPI = file.fileId !== undefined ? file.fileId : file.id; - - item.innerHTML = ` - - ${file.name} - ${file.hasOwnProperty('isExtracted') && !file.isExtracted ? - '⚠️' : ''} - ${WorkflowUtils.formatFileSize(file.size)} - - `; - filesList.appendChild(item); - }); - - // FIX 2: Properly set up remove file event handlers with error messaging - filePreviewArea.querySelectorAll('.remove-file-btn').forEach(btn => { - btn.addEventListener('click', () => { - const fileId = btn.getAttribute('data-file-id'); - - if (!fileId) { - window.utils.showToast("Error", "No file ID found for removal", "error"); - return; - } - - try { - // Dispatch custom event for file removal - log the event for debugging - console.log(`Attempting to remove file with ID: ${fileId}`); - - const event = new CustomEvent('removeFileById', { - detail: { fileId: fileId } - }); - document.dispatchEvent(event); - - // Show confirmation toast for better UX - const fileItem = btn.closest('.file-preview-item'); - const fileName = fileItem ? fileItem.querySelector('.file-name').textContent : 'File'; - window.utils.showToast("Removing file", `Removing ${fileName}...`, "info"); - - } catch (error) { - console.error("Error removing file:", error); - window.utils.showToast("Error", `Failed to remove file: ${error.message}`, "error"); - } - }); - }); -} - -/** - * Previews a file in the preview pane - * @param {Object} file - File object to preview - */ -async function previewFile(file) { - if (!file) { - console.error("Cannot preview file: file is null"); - return; - } - - const previewContainer = document.getElementById('file-preview-container'); - const previewContent = document.getElementById('file-preview-content'); - - if (!previewContainer || !previewContent) { - console.error("Preview containers not found"); - return; - } - - // Show preview container - previewContainer.style.display = 'flex'; - - // Get numeric fileId - const fileId = typeof file.fileId === 'number' ? file.fileId : - (file.fileId !== undefined && !isNaN(Number(file.fileId)) ? Number(file.fileId) : null); - - // Log file information - console.log(`Previewing file: ${file.name || 'unnamed'} (ID: ${fileId || 'N/A'}, Type: ${file.contentType || file.mimeType || 'unknown'})`); - - // Update preview container header - const previewHeader = previewContainer.querySelector('.file-preview-header'); - if (previewHeader) { - previewHeader.innerHTML = ` - ${file.name || 'File Preview'} - ${WorkflowUtils.formatFileSize(file.size)} - `; - } - - // Set current preview file for download/copy actions - currentPreviewFile = file; - - // Show loading indicator - previewContent.innerHTML = ` -
    - - Loading file... -
    - `; - - // Require numeric fileId - if (!fileId) { - previewContent.innerHTML = ` -
    - -

    Preview Unavailable

    -

    This document doesn't have a valid numeric ID for preview.

    -

    According to the data model, only files with numeric IDs can be fetched from the API.

    -
    - `; - return; - } - - try { - // Call API with the numeric fileId - const fileData = await api.previewFile(fileId); - if (!fileData || !fileData.content) { - throw new Error("No file data available"); - } - renderFilePreview(fileData, file, previewContent); - } catch (error) { - console.error("Error fetching file data:", error); - previewContent.innerHTML = ` -
    - -

    Preview Error

    -

    ${error.message || "Could not load file preview"}

    -
    - `; - } -} - -/** - * Renders the file preview based on file type - * @param {Object} fileData - File data from API - * @param {Object} file - File metadata - * @param {HTMLElement} previewContent - Container for preview - */ -function renderFilePreview(fileData, file, previewContent) { - const mimeType = file.contentType || file.mimeType || ''; - - // Handle different file types - if (mimeType.includes('image')) { - // Image preview - always assume base64 for images from API - try { - const imageData = `data:${mimeType};base64,${fileData.content}`; - previewContent.innerHTML = ` - ${file.name} - `; - } catch (error) { - console.error("Error rendering image preview:", error); - window.utils.showToast(previewContent, "Error displaying image","error"); - } - } - else if (mimeType.includes('text') || - mimeType.includes('json') || - mimeType.includes('csv') || - mimeType.includes('markdown') || - mimeType.includes('javascript') || - mimeType.includes('html') || - mimeType.includes('xml') || - mimeType.includes('css')) { - - // Text preview - check base64Encoded flag - try { - // If we have the base64Encoded flag explicitly set to true, decode - // Otherwise, assume it's already text since we're in the text formats branch - const textContent = fileData.base64Encoded ? atob(fileData.content) : fileData.content; - const formattedContent = WorkflowUtils.formatMarkdownLike(textContent); - - previewContent.innerHTML = ` -
    ${formattedContent}
    - `; - } catch (error) { - console.error("Error processing text content:", error); - window.utils.showToast(previewContent, "Error decoding file content","error"); - } - } - else if (mimeType.includes('pdf')) { - // PDF preview - try { - const pdfData = `data:${mimeType};base64,${fileData.content}`; - previewContent.innerHTML = ` - - `; - } catch (error) { - console.error("Error rendering PDF preview:", error); - window.utils.showToast(previewContent, "Error displaying PDF","error"); - } - } - else if (mimeType.includes('spreadsheet') || - mimeType.includes('excel') || - file.name.endsWith('.xlsx') || - file.name.endsWith('.xls') || - file.name.endsWith('.csv')) { - - // Excel/CSV preview - try { - const textContent = fileData.content ? atob(fileData.content) : 'No content available'; - - // For CSV or extracted text from Excel - previewContent.innerHTML = ` -
    -
    Spreadsheet preview (limited formatting):
    - 
    ${textContent}
    -
    - `; - } catch (error) { - console.error("Error processing spreadsheet content:", error); - window.utils.showToast(previewContent, "Error rendering spreadsheet preview","error"); - } - } - else { - // Generic file info - previewContent.innerHTML = ` -
    - -

    ${file.name}

    -

    Type: ${mimeType || 'Unknown'}

    -

    Size: ${WorkflowUtils.formatFileSize(file.size)}

    -

    No preview available for this file type

    - -
    - `; - - // Add direct download button event listener - const downloadBtn = previewContent.querySelector('#download-file-direct'); - if (downloadBtn) { - downloadBtn.addEventListener('click', downloadPreviewFile); - } - } -} - -/** - * Downloads the currently previewed file - */ -async function downloadPreviewFile() { - if (!currentPreviewFile) { - window.utils.showToast("Error", "No file selected for download", "error"); - return; - } - - try { - const file = currentPreviewFile; - - // Get numeric fileId - const fileId = typeof file.fileId === 'number' ? file.fileId : - (file.fileId !== undefined && !isNaN(Number(file.fileId)) ? Number(file.fileId) : null); - - if (!fileId) { - window.utils.showToast("Error", "No valid numeric ID found for download", "error"); - return; - } - - console.log(`Downloading file: ${file.name} (ID: ${fileId})`); - - // Get file from API using the numeric fileId - const response = await api.downloadFile(fileId); - if (!response || !response.content) { - throw new Error("No file data available for download"); - } - - // Initiate download - window.utils.data.initiateDownload( - response.content, - file.name || 'download', - file.contentType || file.mimeType || 'application/octet-stream' - ); - - } catch (error) { - console.error("Error downloading file:", error); - window.utils.showToast("Error", `Download failed: ${error.message}`, "error"); - } -} - -/** - * Copies the content of the currently previewed file to clipboard - */ -async function copyPreviewFileContent() { - if (!currentPreviewFile) { - window.utils.showToast("Error", "No file selected for copying", "error"); - return; - } - - try { - const file = currentPreviewFile; - - // Check if it's a text file - this is just for validation - const mimeType = file.contentType || file.mimeType || ''; - const isTextFile = mimeType.includes('text') || - mimeType.includes('json') || - mimeType.includes('csv') || - mimeType.includes('markdown') || - mimeType.includes('javascript') || - mimeType.includes('html') || - mimeType.includes('xml') || - mimeType.includes('css'); - - if (!isTextFile) { - window.utils.showToast("Warning", "Only text files can be copied to clipboard", "warning"); - return; - } - - // Only use the API - check for valid numeric fileId - const fileId = file.fileId; - - if (!fileId || typeof fileId !== 'number') { - window.utils.showToast("Error", "No valid database ID found for copy operation", "error"); - return; - } - - // Get file content from API - console.log(`Fetching file content for copying (ID: ${fileId})`); - const response = await api.previewFile(fileId); - if (!response || !response.content) { - throw new Error("No file content available"); - } - - // Use base64Encoded flag to determine if we need to decode - const textContent = response.base64Encoded ? atob(response.content) : response.content; - - // Copy to clipboard - try { - // Try using the modern Clipboard API - if (navigator.clipboard && navigator.clipboard.writeText) { - await navigator.clipboard.writeText(textContent); - window.utils.showToast("Success", "Content copied to clipboard", "success"); - return; - } - - // Fallback method using a temporary textarea element - const textarea = document.createElement('textarea'); - textarea.value = textContent; - textarea.style.position = 'fixed'; - textarea.style.opacity = '0'; - document.body.appendChild(textarea); - textarea.focus(); - textarea.select(); - - // Try the deprecated execCommand as a fallback - const successful = document.execCommand('copy'); - document.body.removeChild(textarea); - - if (successful) { - window.utils.showToast("Success", "Content copied to clipboard", "success"); - } else { - throw new Error("Copy operation failed"); - } - } catch (clipboardError) { - console.error("Error copying to clipboard:", clipboardError); - window.utils.showToast("Error", "Failed to copy to clipboard. Try manually selecting the text.", "error"); - } - } catch (error) { - console.error("Error copying file content:", error); - window.utils.showToast("Error", `Copy failed: ${error.message}`, "error"); - } -} - - -/** - * Updates data statistics display - * @param {number} sentBytes - Bytes sent - * @param {number} receivedBytes - Bytes received - * @param {number} tokensUsed - Tokens used - */ -function updateDataStatistics(sentBytes, receivedBytes, tokensUsed = 0) { - const statsEl = document.getElementById('data-statistics'); - if (!statsEl) return; - - // Format sizes - const formatSize = (bytes) => { - if (!bytes || bytes < 0) return '0 B'; - if (bytes < 1024) return `${bytes} B`; - - const kbytes = bytes / 1024; - if (kbytes < 1000) return `${Math.round(kbytes)} kB`; - - const mbytes = kbytes / 1024; - return `${Math.round(mbytes * 10) / 10} MB`; - }; - - const sentFormatted = formatSize(sentBytes); - const receivedFormatted = formatSize(receivedBytes); - - // Update display - let statsHTML = ` - ↑ ${sentFormatted} - ↓ ${receivedFormatted} - `; - - // Add tokens if available - if (tokensUsed > 0) { - statsHTML += `🔤 ${Math.round(tokensUsed).toLocaleString()}`; - } - - statsEl.innerHTML = statsHTML; -} - -/** - * Initializes fixed layout components - */ -function initializeFixedLayout() { - // Get main container - const container = document.querySelector('.workflow-container'); - if (!container) return; - - // Store initial heights - const workflowHeader = document.querySelector('.workflow-header'); - if (workflowHeader && !workflowHeader.getAttribute('data-default-height')) { - const defaultHeight = window.getComputedStyle(workflowHeader).height; - workflowHeader.setAttribute('data-default-height', defaultHeight); - } - - // Set up resize handler - window.addEventListener('resize', adjustLayoutOnResize); - - // Initial adjustment - adjustLayoutOnResize(); -} - -/** - * Sets up header toggle functionality - */ -function setupHeaderToggle() { - const toggleBtn = document.getElementById('toggle-header-btn'); - const header = document.querySelector('.workflow-header'); - - if (!toggleBtn || !header) return; - - toggleBtn.addEventListener('click', () => { - header.classList.toggle('collapsed'); - - // Update icon - const icon = toggleBtn.querySelector('i'); - if (icon) { - if (header.classList.contains('collapsed')) { - icon.className = 'fas fa-plus'; - } else { - icon.className = 'fas fa-minus'; - } - } - - // Adjust layout - adjustLayoutOnResize(); - }); -} - -/** - * Adjusts layout on window resize - */ -function adjustLayoutOnResize() { - const container = document.querySelector('.workflow-container'); - const header = document.querySelector('.workflow-header'); - const chatSection = document.querySelector('.chat-section'); - const footer = document.querySelector('.workflow-footer'); - - if (!container || !header || !chatSection || !footer) return; - - // Calculate available heights - const windowHeight = window.innerHeight; - const headerHeight = header.offsetHeight; - const footerHeight = footer.offsetHeight; - - // Set chat section height - const chatHeight = windowHeight - headerHeight - footerHeight; - if (chatHeight > 100) { - chatSection.style.height = `${chatHeight}px`; - - // Adjust chat messages container - const messagesContainer = document.getElementById('agent-chat-messages'); - if (messagesContainer) { - messagesContainer.style.height = `${chatHeight - 20}px`; - } - } - - // Adjust file preview container - const previewContainer = document.getElementById('file-preview-container'); - if (previewContainer) { - previewContainer.style.height = `${chatHeight}px`; - - // Adjust preview content - const previewHeader = previewContainer.querySelector('.file-preview-header'); - const previewContent = document.getElementById('file-preview-content'); - - if (previewHeader && previewContent) { - const headerHeight = previewHeader.offsetHeight; - previewContent.style.height = `${chatHeight - headerHeight - 20}px`; - } - } -} - -/** - * Checks if user has scrolled to the bottom of an element - * @param {HTMLElement} element - Element to check - * @returns {boolean} - Whether user is at bottom - */ -function isUserAtBottom(element) { - if (!element) return false; - - const tolerance = 30; // Pixels from bottom to consider "at bottom" - return element.scrollHeight - element.scrollTop - element.clientHeight <= tolerance; -} - -// Export functions -export { - initUI, - renderLogs, - renderChatMessages, - updateWorkflowButtonsState, - updateDataStatistics, - previewFile, - renderAdditionalFiles, - updatePromptVisualization -}; \ No newline at end of file diff --git a/static/64_workflowUtils.js b/static/64_workflowUtils.js deleted file mode 100644 index b0c99df5..00000000 --- a/static/64_workflowUtils.js +++ /dev/null @@ -1,477 +0,0 @@ -/** - * Utility functions for the workflow module - * Contains pure helper functions with no state or side effects - */ - -/** - * Formats a file size into a human-readable string - * @param {number} bytes - The file size in bytes - * @param {number} decimals - Number of decimal places to show - * @returns {string} - Formatted file size string - */ -export function formatFileSize(bytes, decimals = 1) { - if (bytes === 0 || bytes === null || bytes === undefined) return '0 Bytes'; - - const k = 1024; - const sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB', 'PB']; - const i = Math.floor(Math.log(bytes) / Math.log(k)); - - return parseFloat((bytes / Math.pow(k, i)).toFixed(decimals)) + ' ' + sizes[i]; - } - - /** - * Gets an appropriate Font Awesome icon class for a file type - * @param {Object} file - File object with mimeType property - * @returns {string} - Font Awesome icon class - */ - export function getFileTypeIcon(file) { - if (!file) return 'fa-file'; - - // Normalize content type field name - const contentType = file.mimeType; - - // Image files - if (contentType.includes('image')) return 'fa-file-image'; - - // Document files - if (contentType.includes('pdf')) return 'fa-file-pdf'; - if (contentType.includes('msword') || contentType.includes('wordprocessingml')) return 'fa-file-word'; - if (contentType.includes('spreadsheetml') || contentType.includes('excel')) return 'fa-file-excel'; - if (contentType.includes('presentationml') || contentType.includes('powerpoint')) return 'fa-file-powerpoint'; - - // Text files - if (contentType.includes('text/plain')) return 'fa-file-alt'; - if (contentType.includes('text/markdown') || contentType.includes('md')) return 'fa-file-alt'; - if (contentType.includes('text/csv') || contentType.includes('csv')) return 'fa-file-csv'; - - // Code files - if (contentType.includes('javascript') || - contentType.includes('typescript') || - contentType.includes('json')) return 'fa-file-code'; - if (contentType.includes('html') || - contentType.includes('xml') || - contentType.includes('css')) return 'fa-file-code'; - - // Archive files - if (contentType.includes('zip') || - contentType.includes('rar') || - contentType.includes('tar') || - contentType.includes('gzip')) return 'fa-file-archive'; - - // Audio files - if (contentType.includes('audio')) return 'fa-file-audio'; - - // Video files - if (contentType.includes('video')) return 'fa-file-video'; - - // Default - return 'fa-file'; - } - - /** - * Formats text with markdown-like styling for rendering in the UI - * @param {string} text - Text to format - * @returns {string} - HTML-formatted text - */ - export function formatMarkdownLike(text) { - if (!text) return ''; - - // Convert to string if not already - const textStr = String(text); - - // Escape HTML to prevent XSS - let formattedText = escapeHtml(textStr); - - // Format code blocks - formattedText = formatCodeBlocks(formattedText); - - // Format inline code - formattedText = formattedText.replace(/`([^`]+)`/g, '$1'); - - // Format bold text - formattedText = formattedText.replace(/\*\*([^*]+)\*\*/g, '$1'); - formattedText = formattedText.replace(/__([^_]+)__/g, '$1'); - - // Format italic text - formattedText = formattedText.replace(/\*([^*]+)\*/g, '$1'); - formattedText = formattedText.replace(/_([^_]+)_/g, '$1'); - - // Format links - formattedText = formattedText.replace(/\[([^\]]+)\]\(([^)]+)\)/g, '$1'); - - // Format headings - formattedText = formattedText.replace(/^### (.+)$/gm, '

    $1

    '); - formattedText = formattedText.replace(/^## (.+)$/gm, '

    $1

    '); - formattedText = formattedText.replace(/^# (.+)$/gm, '

    $1

    '); - - // Format unordered lists - formattedText = formatLists(formattedText); - - // Format line breaks - formattedText = formattedText.replace(/\n/g, '
    '); - - return formattedText; - } - - /** - * Escapes HTML special characters to prevent XSS attacks - * @param {string} html - Text that might contain HTML - * @returns {string} - Escaped text - */ - function escapeHtml(html) { - const escapeMap = { - '&': '&', - '<': '<', - '>': '>', - '"': '"', - "'": ''' - }; - - return html.replace(/[&<>"']/g, m => escapeMap[m]); - } - - /** - * Formats code blocks with syntax highlighting classes - * @param {string} text - Text to format - * @returns {string} - Text with formatted code blocks - */ - function formatCodeBlocks(text) { - // Match triple backtick code blocks with optional language specification - const codeBlockRegex = /```(\w*)\n([\s\S]+?)\n```/g; - - return text.replace(codeBlockRegex, (match, language, code) => { - const langClass = language ? ` class="language-${language}"` : ''; - const formattedCode = escapeHtml(code); - - return `
    ${formattedCode}
    `; - }); - } - - /** - * Formats unordered and ordered lists - * @param {string} text - Text to format - * @returns {string} - Text with formatted lists - */ - function formatLists(text) { - let formatted = text; - - // Check if there are any list items - if (formatted.match(/^[*-] .+/gm)) { - // Split by newline to process lines - const lines = formatted.split('\n'); - let inList = false; - let listHtml = ''; - - for (let i = 0; i < lines.length; i++) { - const line = lines[i]; - - if (line.match(/^[*-] .+/)) { - if (!inList) { - // Start a new list - listHtml += '
      '; - inList = true; - } - - // Add list item - const itemContent = line.substring(2); - listHtml += `
    • ${itemContent}
      • `; - } else if (line.match(/^\d+\. .+/)) { - if (!inList || !listHtml.includes('
        ')) { - // Close any open unordered list - if (inList && listHtml.includes('
          ')) { - listHtml += '
        '; - } - - // Start a new ordered list - listHtml += '
          '; - inList = true; - } - - // Add ordered list item - const itemContent = line.replace(/^\d+\. /, ''); - listHtml += `
        1. ${itemContent}
          2. `; - } else if (inList) { - // End the list - if (listHtml.includes('
            ')) { - listHtml += '
          '; - } else { - listHtml += '
    '; - } - - inList = false; - listHtml += line + '\n'; - } else { - listHtml += line + '\n'; - } - } - - // Close list if still open at the end - if (inList) { - if (listHtml.includes('
      ')) { - listHtml += '
    '; - } else { - listHtml += ''; - } - } - - formatted = listHtml; - } - - return formatted; - } - - /** - * Debounces a function to limit how often it can run - * @param {Function} func - Function to debounce - * @param {number} wait - Time to wait in milliseconds - * @returns {Function} - Debounced function - */ - export function debounce(func, wait = 300) { - let timeout; - - return function executedFunction(...args) { - const later = () => { - clearTimeout(timeout); - func(...args); - }; - - clearTimeout(timeout); - timeout = setTimeout(later, wait); - }; - } - - /** - * Creates a throttled function that only invokes func once per wait period - * @param {Function} func - The function to throttle - * @param {number} wait - Milliseconds to wait between invocations - * @returns {Function} - Throttled function - */ - export function throttle(func, wait = 300) { - let lastCall = 0; - - return function(...args) { - const now = Date.now(); - - if (now - lastCall >= wait) { - lastCall = now; - return func(...args); - } - }; - } - - /** - * Creates a random ID with an optional prefix - * @param {string} prefix - Optional prefix for the ID - * @returns {string} - Random ID - */ - export function generateId(prefix = '') { - return `${prefix}${Date.now()}_${Math.random().toString(36).substring(2,11)}`; - } - - /** - * Deep clones an object - * @param {Object} obj - Object to clone - * @returns {Object} - Cloned object - */ - export function deepClone(obj) { - if (obj === null || typeof obj !== 'object') { - return obj; - } - - // Handle Date - if (obj instanceof Date) { - return new Date(obj.getTime()); - } - - // Handle Array - if (Array.isArray(obj)) { - return obj.map(item => deepClone(item)); - } - - // Handle Object - if (obj instanceof Object) { - const copy = {}; - Object.keys(obj).forEach(key => { - copy[key] = deepClone(obj[key]); - }); - return copy; - } - - throw new Error(`Unable to copy obj! Its type isn't supported: ${typeof obj}`); - } - - /** - * Extracts text content from HTML string - * @param {string} html - HTML string - * @returns {string} - Plain text content - */ - export function stripHtml(html) { - if (!html) return ''; - - // Create a temporary element - const tempDiv = document.createElement('div'); - tempDiv.innerHTML = html; - - // Return the text content - return tempDiv.textContent || tempDiv.innerText || ''; - } - - /** - * Checks if two objects are equal in value - * @param {Object} obj1 - First object - * @param {Object} obj2 - Second object - * @returns {boolean} - Whether objects are equal - */ - export function objectEquals(obj1, obj2) { - return JSON.stringify(obj1) === JSON.stringify(obj2); - } - - /** - * Converts a string to title case - * @param {string} str - String to convert - * @returns {string} - Title case string - */ - export function toTitleCase(str) { - if (!str) return ''; - - return str.replace( - /\w\S*/g, - txt => txt.charAt(0).toUpperCase() + txt.substring(1).toLowerCase() - ); - } - - /** - * Truncates a string to a given length - * @param {string} str - String to truncate - * @param {number} length - Maximum length - * @param {string} suffix - Suffix to add if truncated - * @returns {string} - Truncated string - */ - export function truncate(str, length = 50, suffix = '...') { - if (!str) return ''; - - if (str.length <= length) { - return str; - } - - return str.substring(0, length - suffix.length) + suffix; - } - - /** - * Parses a string containing JSON and returns the parsed object - * @param {string} jsonString - String to parse - * @param {*} defaultValue - Default value to return if parsing fails - * @returns {*} - Parsed object or default value - */ - export function safeJsonParse(jsonString, defaultValue = {}) { - try { - return JSON.parse(jsonString); - } catch (e) { - console.warn('Error parsing JSON:', e); - return defaultValue; - } - } - - /** - * Returns a formatted date string - * @param {string|Date} date - Date to format - * @param {string} format - Format string ('short', 'medium', 'long', 'full') - * @returns {string} - Formatted date string - */ - export function formatDate(date, format = 'medium') { - const dateObj = typeof date === 'string' ? new Date(date) : date; - - if (!(dateObj instanceof Date) || isNaN(dateObj)) { - return ''; - } - - switch (format) { - case 'short': - return dateObj.toLocaleString(undefined, { - month: 'numeric', - day: 'numeric', - hour: '2-digit', - minute: '2-digit' - }); - case 'time': - return dateObj.toLocaleTimeString(); - case 'long': - return dateObj.toLocaleString(undefined, { - year: 'numeric', - month: 'long', - day: 'numeric', - hour: '2-digit', - minute: '2-digit' - }); - case 'full': - return dateObj.toLocaleString(undefined, { - weekday: 'long', - year: 'numeric', - month: 'long', - day: 'numeric', - hour: '2-digit', - minute: '2-digit', - second: '2-digit' - }); - case 'medium': - default: - return dateObj.toLocaleString(); - } - } - - /** - * Creates an event emitter with a simple pub/sub interface - * @returns {Object} - Event emitter object - */ - export function createEventEmitter() { - const events = {}; - - return { - /** - * Subscribe to an event - * @param {string} event - Event name - * @param {Function} callback - Event handler - * @returns {Function} - Unsubscribe function - */ - subscribe(event, callback) { - if (!events[event]) { - events[event] = []; - } - - events[event].push(callback); - - // Return unsubscribe function - return () => { - events[event] = events[event].filter(cb => cb !== callback); - }; - }, - - /** - * Publish an event with data - * @param {string} event - Event name - * @param {*} data - Event data - */ - publish(event, data) { - if (!events[event]) return; - - events[event].forEach(callback => { - callback(data); - }); - }, - - /** - * Clear all subscriptions for an event - * @param {string} event - Event name - */ - clear(event) { - if (event) { - delete events[event]; - } else { - // Clear all events if no event specified - Object.keys(events).forEach(key => { - delete events[key]; - }); - } - } - }; - } \ No newline at end of file diff --git a/static/65_mandates.js b/static/65_mandates.js deleted file mode 100644 index 8edfe2e9..00000000 --- a/static/65_mandates.js +++ /dev/null @@ -1,307 +0,0 @@ -/** - * mandates.js - * Mandanten-Modul mit dem generischen Entitätsansatz - * Angepasst an das überarbeitete Backend und apiCalls.js - */ - -import api from '../shared/apiCalls.js'; - -/** - * Initialisierungsfunktion für das Mandanten-Modul - * @param {Object} globalState - Globaler Zustand der Anwendung - */ -function initMandatesModule(globalState) { - // Prüfen, ob der Benutzer die erforderlichen Rechte hat (nur SysAdmin) - if (!globalState.user || !globalState.user.isSysAdmin) { - // Mandanten-Sektion ausblenden oder Hinweis anzeigen - const mandatesView = document.getElementById('mandates-view'); - if (mandatesView) { - mandatesView.innerHTML = ` -

    Mandantenverwaltung

    -
    -
    - - Sie benötigen SysAdmin-Rechte, um Mandanten zu verwalten. -
    -
    - `; - } - return; - } - - // Generisches Entitätsmodul für Mandanten initialisieren - window.genericEntityModule.init(globalState, { - entityType: 'mandate', - apiEndpoint: { - get: api.getMandates, // API-Funktion zum Abrufen aller Mandanten - create: api.createMandate, // API-Funktion zum Erstellen eines Mandanten - update: api.updateMandate, // API-Funktion zum Aktualisieren eines Mandanten - delete: api.deleteMandate // API-Funktion zum Löschen eines Mandanten - }, - listContainerId: 'mandates-list-container', - addButtonId: 'add-mandate-btn', - - // Benutzerdefinierte Render-Funktion für Mandanten - renderItem: function(mandate) { - // Status-Badge (aktiv/deaktiviert) - const statusBadge = mandate.disabled ? - 'Deaktiviert' : - 'Aktiv'; - - return ` -
    -
    -

    ${mandate.name || 'Unbenannter Mandant'}

    -
    -
    - ${statusBadge} - Sprache: ${mandate.language || 'de'} -
    -
    -
    - ${mandate.description ? `
    ${mandate.description}
    ` : ''} - ${mandate.contactEmail ? `
    ${mandate.contactEmail}
    ` : ''} - ${mandate.createdAt ? `Erstellt am: ${new Date(mandate.createdAt).toLocaleString()}` : ''} -
    - `; - }, - - // Behandlung spezieller Attributformate - transformFormData: function(formData) { - // Boolean-Wert für "disabled" korrekt umwandeln - if (formData.hasOwnProperty('disabled') && typeof formData.disabled === 'string') { - formData.disabled = formData.disabled.toLowerCase() === 'true'; - } - - return formData; - }, - - // Zusätzliche Aktionen für Mandanten - getItemActions: function(mandate) { - const actions = []; - - // Benutzer anzeigen Aktion - actions.push({ - text: 'Benutzer anzeigen', - className: 'entity-view-btn', - html: '', - handler: function(mandate) { - showMandateUsers(mandate); - } - }); - - // Mandant aktivieren/deaktivieren - if (mandate.disabled) { - actions.push({ - text: 'Aktivieren', - className: 'entity-activate-btn', - html: '', - handler: function(mandate) { - toggleMandateStatus(mandate, false); - } - }); - } else { - actions.push({ - text: 'Deaktivieren', - className: 'entity-deactivate-btn', - html: '', - handler: function(mandate) { - toggleMandateStatus(mandate, true); - } - }); - } - - return actions; - }, - - // Callbacks - onItemCreated: function(mandate) { - showToast(`Mandant "${mandate.name}" erstellt`); - }, - - onItemUpdated: function(mandate) { - showToast(`Mandant "${mandate.name}" aktualisiert`); - }, - - onItemDeleted: function(mandateId) { - showToast(`Mandant gelöscht`); - } - }); -} - -/** - * Mandant aktivieren/deaktivieren - * @param {Object} mandate - Der Mandant - * @param {boolean} disabled - Neuer Status (true = deaktiviert, false = aktiviert) - */ -async function toggleMandateStatus(mandate, disabled) { - try { - // Status ändern via API - const response = await api.updateMandate(mandate.id, { disabled }); - - if (response) { - showToast(`Mandant "${mandate.name}" ${disabled ? 'deaktiviert' : 'aktiviert'}`); - - // Liste neu laden - if (window.genericEntityModule) { - window.genericEntityModule.loadAndRenderItems(); - } - } - } catch (error) { - console.error(`Fehler beim Ändern des Mandantenstatus:`, error); - showError(`Fehler beim Ändern des Mandantenstatus`, error.message); - } -} - -/** - * Zeigt alle Benutzer eines Mandanten an - * @param {Object} mandate - Der Mandant - */ -async function showMandateUsers(mandate) { - try { - // Benutzer für den Mandanten abrufen - const users = await api.getUsers(mandate.id); - - if (!users || users.length === 0) { - showToast(`Keine Benutzer für Mandant "${mandate.name}" gefunden.`); - return; - } - - // Modal mit Benutzerliste erstellen - let userListHTML = ` -

    Benutzer von Mandant "${mandate.name}"

    -
    - - - - - - - - - - - - `; - - users.forEach(user => { - // Status und Rolle ermitteln - const status = user.disabled ? - 'Deaktiviert' : - 'Aktiv'; - - let role = 'User'; - if (user.privilege === 'admin') { - role = 'Admin'; - } else if (user.privilege === 'sysadmin') { - role = 'SysAdmin'; - } - - userListHTML += ` - - - - - - - - `; - }); - - userListHTML += ` - -
    BenutzernameNameE-MailRolleStatus
    ${user.username}${user.fullName || '-'}${user.email || '-'}${role}${status}
    -
    - `; - - // Modal anzeigen - if (window.appUtils && window.appUtils.ui && window.appUtils.ui.createModal) { - window.appUtils.ui.createModal({ - title: `Benutzer von Mandant "${mandate.name}"`, - content: userListHTML, - submitText: 'Schließen', - cancelText: null, // Kein Abbrechen-Button - onSubmit: () => { - // Einfach schließen - } - }); - } else { - // Fallback: Alert mit Benutzerzahl - showToast(`Der Mandant "${mandate.name}" hat ${users.length} Benutzer.`); - } - } catch (error) { - console.error(`Fehler beim Abrufen der Mandantenbenutzer:`, error); - showError(`Fehler beim Abrufen der Benutzer`, error.message); - } -} - -/** - * Erstellt einen neuen Mandanten mit Default-Werten - * @param {Object} globalStateObj - Globaler Zustand der Anwendung - * @returns {Promise} - Der erstellte Mandant - */ -async function createDefaultMandate(globalStateObj) { - try { - // Default-Mandant erstellen - const defaultMandate = { - name: "Neuer Mandant", - description: "Beschreibung des Mandanten", - language: "de", - contactEmail: "" - }; - - // An die API senden - const newMandate = await api.createMandate(defaultMandate); - - // UI aktualisieren - if (window.genericEntityModule) { - window.genericEntityModule.loadAndRenderItems(); - } - - return newMandate; - } catch (error) { - console.error("Fehler beim Erstellen des Default-Mandanten:", error); - showError("Fehler beim Erstellen", error.message); - throw error; - } -} - -/** - * Zeigt eine Toast-Nachricht an - * @param {string} message - Anzuzeigende Nachricht - */ -function showToast(message) { - if (window.appUtils && window.appUtils.ui && window.appUtils.ui.showToast) { - window.appUtils.ui.showToast(message); - } else if (window.globalUtils && window.globalUtils.showError) { - window.globalUtils.showError("Info", message); - } else { - console.log(message); - } -} - -/** - * Zeigt eine Fehlermeldung an - * @param {string} title - Titel der Fehlermeldung - * @param {string} message - Fehlermeldung - */ -function showError(title, message) { - if (window.appUtils && window.appUtils.ui && window.appUtils.ui.showError) { - window.appUtils.ui.showError(title, message); - } else if (window.globalUtils && window.globalUtils.showError) { - window.globalUtils.showError(title, message); - } else { - console.error(`${title}: ${message}`); - } -} - -// Mandates-Modul-Schnittstelle definieren und exportieren -window.initMandatesModule = initMandatesModule; - -// Export für ES Module -export { - initMandatesModule, - toggleMandateStatus, - showMandateUsers, - createDefaultMandate -}; \ No newline at end of file diff --git a/static/66_styles_workflow_chat.css b/static/66_styles_workflow_chat.css deleted file mode 100644 index 998251a7..00000000 --- a/static/66_styles_workflow_chat.css +++ /dev/null @@ -1,303 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - Chat Component Styles - * Styles for chat messages and interaction - */ - -/* Chat area header */ -.chat-area-header { - padding: 0.75rem 1rem; - background-color: #f8f9fa; - border-bottom: 1px solid #e5e7eb; - z-index: 10; - position: sticky; - top: 0; - } - - .chat-area-header h3 { - margin: 0; - } - - /* Chat messages container */ - .agent-chat-messages { - flex: 1; - overflow-y: auto; - padding: 1rem; - scrollbar-width: thin; - } - - /* Chat message types */ - .chat-message { - margin-bottom: 1rem; - max-width: 90%; - width: 100%; - } - - .system-message { - margin: 0.5rem auto; - text-align: center; - color: #6b7280; - font-size: 0.75rem; - font-style: italic; - background-color: #f9fafb; - padding: 0.25rem 0.5rem; - border-radius: 1rem; - max-width: 80%; - } - - .agent-message { - padding: 0.75rem; - background-color: white; - border-radius: 0.375rem; - border-left: 3px solid #3b82f6; - box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); - margin-left: 0.5rem; - margin-right: 0.5rem; - } - - .agent-message.user { - border-left-color: #10b981; - background-color: #f0fdf4; - } - - /* Special styling for messages between Moderator and User Agent */ - .agent-message.moderator-to-user { - border-left-color: #f59e0b; - background-color: #fffbeb; - border-width: 3px; - } - - .moderator-to-user .agent-name { - color: #b45309; - } - - /* Message header */ - .message-header { - display: flex; - justify-content: space-between; - margin-bottom: 0.25rem; - font-size: 0.75rem; - } - - .agent-name { - font-weight: 500; - } - - .message-time { - color: #6b7280; - } - - /* Message content with collapse feature */ - .message-content { - font-size: 0.875rem; - } - - .agent-message.collapsed .message-content { - max-height: 100px; - overflow: hidden; - position: relative; - } - - .agent-message.collapsed .message-content::after { - content: ""; - position: absolute; - bottom: 0; - left: 0; - right: 0; - height: 40px; - background: linear-gradient(transparent, white); - } - - .agent-message .toggle-content { - text-align: center; - color: #3b82f6; - font-size: 0.75rem; - cursor: pointer; - padding: 0.25rem; - user-select: none; - } - - .agent-message .toggle-content:hover { - text-decoration: underline; - } - - /* Files in messages */ - .message-files { - margin-top: 0.75rem; - border-top: 1px solid #e5e7eb; - padding-top: 0.5rem; - } - - .files-heading { - font-size: 0.75rem; - font-weight: 500; - color: #6b7280; - margin-bottom: 0.5rem; - } - - .files-list { - list-style: none; - padding: 0; - margin: 5px 0; - } - - .file-item { - display: flex; - align-items: center; - padding: 6px 8px; - background-color: #f5f5f5; - border-radius: 4px; - margin-bottom: 5px; - transition: background-color 0.2s; - font-size: 0.8rem; - } - - .file-item:hover { - background-color: #e9e9e9; - } - - .file-item i:first-child { - margin-right: 8px; - color: #555; - } - - .file-name { - flex: 1; - white-space: nowrap; - overflow: hidden; - text-overflow: ellipsis; - margin-right: 10px; - } - - .file-actions { - display: flex; - gap: 5px; - } - - .preview-file-btn, .delete-file-btn { - background: none; - border: none; - cursor: pointer; - padding: 4px; - border-radius: 3px; - transition: background-color 0.2s; - } - - .preview-file-btn:hover, .delete-file-btn:hover { - background-color: rgba(0, 0, 0, 0.1); - } - - .preview-file-btn i { - color: #2196F3; - } - - .delete-file-btn i { - color: #F44336; - } - - /* Message delete button */ - .message-delete-container { - display: none; - margin-left: 8px; - } - - .chat-message:hover .message-delete-container { - display: block; - } - - .message-delete-btn { - background: none; - border: none; - color: #9ca3af; - font-size: 0.7rem; - cursor: pointer; - padding: 2px; - transition: color 0.2s; - } - - .message-delete-btn:hover { - color: #ef4444; - } - - /* User prompt area */ - .user-prompt { - background-color: #fffbeb; - border-left: 4px solid #f59e0b; - padding: 0.75rem; - margin-bottom: 0.75rem; - border-radius: 0.25rem; - animation: fadeIn 0.3s ease; - } - - .moderator-question { - font-size: 0.95rem; - } - - .moderator-question strong { - color: #b45309; - font-weight: 600; - } - - /* Previous result */ - .previous-result { - font-size: 0.875rem; - line-height: 1.4; - } - - .previous-result strong { - color: #4b5563; - margin-right: 0.25rem; - } - - /* Empty chat state */ - #empty-chat-state { - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - height: 100%; - color: #9ca3af; - text-align: center; - padding: 2rem; - } - - #empty-chat-state i { - font-size: 3rem; - color: #d1d5db; - margin-bottom: 1rem; - } - - #empty-chat-state h4 { - margin: 0.5rem 0; - color: #4b5563; - } - - #empty-chat-state p { - margin: 0; - color: #6b7280; - font-size: 0.875rem; - } - - /* Animation */ - @keyframes fadeIn { - from { opacity: 0; transform: translateY(5px); } - to { opacity: 1; transform: translateY(0); } - } - - /* Scroll behavior */ - .agent-chat-messages { - scrollbar-width: thin; - scrollbar-color: #d1d5db transparent; - } - - .agent-chat-messages::-webkit-scrollbar { - width: 6px; - } - - .agent-chat-messages::-webkit-scrollbar-track { - background: transparent; - } - - .agent-chat-messages::-webkit-scrollbar-thumb { - background-color: #d1d5db; - border-radius: 3px; - } \ No newline at end of file diff --git a/static/67_styles_workflow_files.css b/static/67_styles_workflow_files.css deleted file mode 100644 index 1652f8b3..00000000 --- a/static/67_styles_workflow_files.css +++ /dev/null @@ -1,464 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - Files Component Styles - * Styles for file upload, preview, and management - */ - -/* File preview container */ -.file-preview-container { - height: 100%; - display: flex; - flex-direction: column; - background-color: white; -} - -.file-preview-header { - display: flex; - justify-content: space-between; - align-items: center; - padding: 0.75rem 1rem; - background-color: #f8f9fa; - border-bottom: 1px solid #e5e7eb; -} - -.file-preview-header h4 { - margin: 0; -} - -.file-preview-actions { - display: flex; - gap: 0.5rem; -} - -.file-preview-content { - flex: 1; - overflow: auto; - padding: 1rem; -} - -/* File preview types */ -.file-preview-image { - max-width: 100%; - margin: 0 auto; - display: block; -} - -.file-preview-text { - white-space: pre-wrap; - font-family: 'Consolas', 'Monaco', monospace; - font-size: 0.875rem; - overflow: auto; - padding: 0.5rem; - background-color: white; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; -} - -.file-preview-pdf { - width: 100%; - height: 100%; - min-height: 500px; -} - -.file-preview-unsupported { - font-style: italic; - color: #6b7280; - margin-top: 1rem; -} - -/* File information display */ -.file-info { - text-align: center; - padding: 2rem; -} - -.file-info h4 { - margin: 1rem 0 0.5rem; -} - -.file-info p { - margin: 0.25rem 0; - color: #4b5563; -} - -.file-actions { - display: flex; - align-items: center; -} - -/* User input area for files */ -.user-input-area { - padding: 1rem; -} - -.user-input-container { - display: flex; - flex-direction: column; - gap: 0.75rem; -} - -#user-message-input { - width: 100%; - min-height: 80px; - max-height: 150px; - resize: vertical; - border: 1px solid #d1d5db; - border-radius: 0.25rem; - padding: 0.75rem; - font-family: inherit; - font-size: 0.875rem; - overflow-y: auto; -} - -#user-message-input:focus { - outline: none; - border-color: #3b82f6; - box-shadow: 0 0 0 2px rgba(59, 130, 246, 0.3); -} - -#user-message-input.awaiting-input { - border-color: #f59e0b; - box-shadow: 0 0 0 2px rgba(245, 158, 11, 0.3); -} - -.user-input-actions { - display: flex; - justify-content: space-between; - align-items: center; -} - -/* Additional files container - improved visibility */ -.additional-files-container { - display: flex; - flex-direction: column; - gap: 0.5rem; - padding: 10px; - height: 100%; - overflow-y: auto; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; - background-color: #f9fafb; -} - -.additional-file-item { - background-color: white; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; - padding: 8px 10px; - display: flex; - align-items: center; - font-size: 0.875rem; -} - -.additional-file-item i { - margin-right: 10px; - color: #6b7280; -} - -.file-name { - flex: 1; - overflow: hidden; - text-overflow: ellipsis; - white-space: nowrap; -} - -.remove-additional-file { - color: #ef4444; - cursor: pointer; - padding: 4px; - border-radius: 50%; - margin-left: 8px; -} - -.remove-additional-file:hover { - background-color: #fee2e2; -} - -/* File dropzone */ -.file-dropzone-wrapper { - position: relative; -} - -.file-dropzone-wrapper.dragging { - outline: 2px dashed #3b82f6; - background-color: rgba(59, 130, 246, 0.1); -} - -.file-dropzone-wrapper.dragging::after { - content: "Drop files here"; - position: absolute; - top: 50%; - left: 50%; - transform: translate(-50%, -50%); - background-color: rgba(255, 255, 255, 0.9); - padding: 10px 15px; - border-radius: 4px; - box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1); - z-index: 10; - font-weight: bold; - color: #2196F3; -} - -/* Selected files preview - improved visibility */ -.selected-files-preview { - margin: 8px 0 12px 0; - background-color: #f0f9ff; /* Light blue background for better visibility */ - border: 1px solid #93c5fd; /* Blue border */ - border-radius: 0.25rem; - padding: 8px; - display: block; /* Ensure it's visible */ - width: 100%; -} - -.files-preview-header { - font-size: 0.75rem; - font-weight: 600; /* Slightly bolder */ - color: #3b82f6; /* Blue text to match border */ - margin-bottom: 8px; -} - -.files-preview-list { - list-style: none; - padding: 0; - margin: 0; -} - -.file-preview-item { - display: flex; - align-items: center; - padding: 6px 8px; - background-color: white; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; - margin-bottom: 6px; - font-size: 0.8rem; -} - -.file-preview-item:last-child { - margin-bottom: 0; -} - -.file-preview-item i { - margin-right: 8px; - color: #6b7280; -} - -.file-preview-item span { - flex: 1; - white-space: nowrap; - overflow: hidden; - text-overflow: ellipsis; -} - -.remove-file-btn { - color: #ef4444; - background: none; - border: none; - padding: 4px; - cursor: pointer; - transition: background-color 0.2s; - border-radius: 50%; -} - -.remove-file-btn:hover { - background-color: #fee2e2; -} - -/* No files message */ -.no-files-message { - color: #6b7280; - font-style: italic; - text-align: center; - padding: 20px; -} - -/* Loading states */ -.loading-preview { - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - padding: 2rem; - color: #6b7280; -} - -.loading-preview i { - font-size: 2rem; - margin-bottom: 0.5rem; -} - -/* Error states */ -.error-state { - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - padding: 2rem; - color: #6b7280; - text-align: center; -} - -.error-state i { - font-size: 3rem; - color: #ef4444; - margin-bottom: 1rem; -} - -.error-state h4 { - margin: 0 0 0.5rem 0; - color: #111827; -} - -.error-state p { - margin: 0; - color: #6b7280; -} - -/* Animation */ -@keyframes pulse { - 0% { - box-shadow: 0 0 0 0 rgba(245, 158, 11, 0.4); - } - 70% { - box-shadow: 0 0 0 8px rgba(245, 158, 11, 0); - } - 100% { - box-shadow: 0 0 0 0 rgba(245, 158, 11, 0); - } -} - -.pulse-attention { - animation: pulse 2s infinite; -} - -/* Formatted preview */ -.formatted-preview { - padding: 15px; - font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif; - line-height: 1.6; - color: #333; - overflow: auto; -} - -.formatted-preview code { - font-family: 'Courier New', Courier, monospace; - background-color: #f5f5f5; - padding: 2px 4px; - border-radius: 3px; - font-size: 0.9em; - color: #d63384; -} - -.formatted-preview pre { - background-color: #f8f8f8; - border: 1px solid #ddd; - border-radius: 4px; - padding: 10px; - overflow: auto; - margin: 10px 0; -} - -.formatted-preview pre code { - background-color: transparent; - padding: 0; - color: #333; - font-size: 0.9em; - white-space: pre; -} - -.formatted-preview h1, -.formatted-preview h2, -.formatted-preview h3 { - margin-top: 24px; - margin-bottom: 16px; - font-weight: 600; - line-height: 1.25; -} - -.formatted-preview h1 { - font-size: 1.5em; - border-bottom: 1px solid #eaecef; - padding-bottom: 0.3em; -} - -.formatted-preview h2 { - font-size: 1.25em; - border-bottom: 1px solid #eaecef; - padding-bottom: 0.3em; -} - -.formatted-preview h3 { - font-size: 1em; -} - -.formatted-preview ul, -.formatted-preview ol { - padding-left: 2em; - margin-top: 0; - margin-bottom: 16px; -} - -.formatted-preview li + li { - margin-top: 0.25em; -} - -.formatted-preview table { - border-collapse: collapse; - width: 100%; - margin: 16px 0; -} - -.formatted-preview table th, -.formatted-preview table td { - border: 1px solid #ddd; - padding: 6px 13px; -} - -.formatted-preview table tr { - background-color: #fff; - border-top: 1px solid #c6cbd1; -} - -.formatted-preview table tr:nth-child(2n) { - background-color: #f6f8fa; -} - -.formatted-preview table th { - background-color: #f6f8fa; - font-weight: 600; -} - -/* Copy notification */ -.copy-notification { - position: absolute; - top: 20px; - right: 20px; - background-color: #10b981; - color: white; - padding: 0.5rem 1rem; - border-radius: 0.25rem; - animation: fadeIn 0.3s ease, fadeOut 0.5s ease 1.5s forwards; -} - -@keyframes fadeIn { - from { opacity: 0; transform: translateY(-10px); } - to { opacity: 1; transform: translateY(0); } -} - -@keyframes fadeOut { - from { opacity: 1; transform: translateY(0); } - to { opacity: 0; transform: translateY(-10px); } -} - -.additional-files-container { - display: flex; - flex-direction: column; - gap: 0.5rem; - padding: 10px; - height: 100%; - max-height: 200px; /* Add this */ - overflow-y: auto; /* Change from 'auto' to 'auto' */ - overflow-x: hidden; /* Add this to prevent horizontal scrollbar */ - border: 1px solid #e5e7eb; - border-radius: 0.25rem; - background-color: #f9fafb; -} \ No newline at end of file diff --git a/static/68_styles_workflow_log.css b/static/68_styles_workflow_log.css deleted file mode 100644 index d371aa71..00000000 --- a/static/68_styles_workflow_log.css +++ /dev/null @@ -1,297 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - Log Component Styles - * Styles for execution log display - */ - -/* Log container */ -.log-content-container { - flex: 1; - display: flex; - flex-direction: column; - height: 100%; - } - - .log-title-container { - display: flex; - align-items: center; - padding: 0.5rem 1rem; - background-color: #f8f9fa; - border-bottom: 1px solid #e5e7eb; - } - - .execution-log { - flex: 1; - overflow-y: auto; - background-color: #111827; - color: #34d399; - padding: 0.75rem; - font-family: 'Consolas', 'Monaco', monospace; - font-size: 0.75rem; - height: calc(100% - 40px); /* Subtract the height of the title container */ - } - - /* Log entries */ - .log-entry { - margin-bottom: 0; - padding: 0.4rem; - border-radius: 0; - background-color: rgba(17, 24, 39, 0.8); - position: relative; - width: 100%; - box-sizing: border-box; - word-wrap: break-word; - overflow-wrap: break-word; - border-bottom: 1px solid rgba(255, 255, 255, 0.1); - } - - .log-entry:last-child { - border-bottom: none; - } - - .log-entry.collapsible { - cursor: default; - } - - .log-entry .log-content { - display: block !important; - margin-top: 0.3rem; - padding: 0.3rem; - background-color: rgba(255, 255, 255, 0.05); - border-radius: 0.25rem; - font-size: 0.8rem; - color: #e5e7eb; - max-width: 100%; - overflow-x: auto; - } - - .log-entry .toggle-icon { - display: none; - } - - /* Log entry header */ - .log-header { - display: flex; - justify-content: space-between; - align-items: flex-start; - } - - .log-time { - color: #9ca3af; - font-size: 0.7rem; - margin-right: 0.5rem; - white-space: nowrap; - } - - .log-agent { - color: #60a5fa; - margin-right: 0.5rem; - font-weight: 500; - white-space: nowrap; - } - - .log-message { - word-break: break-word; - max-width: calc(100% - 120px); - display: inline-block; - vertical-align: top; - } - - /* Progress indicator */ - .log-progress-container { - width: 100px; - height: 8px; - background-color: #eee; - border-radius: 4px; - margin: 0 10px; - display: inline-block; - vertical-align: middle; - position: relative; - } - - .log-progress-bar { - height: 100%; - background-color: #3498db; - border-radius: 4px; - } - - .log-progress-text { - position: absolute; - right: -35px; - top: -2px; - font-size: 10px; - color: #777; - } - - /* Log message types */ - .log-success { - color: #2ecc71 !important; - font-weight: bold !important; - } - - .log-error { - color: #e74c3c !important; - font-weight: bold !important; - } - - .log-warning { - color: #f39c12 !important; - font-weight: bold !important; - } - - .log-info { - color: #3498db !important; - } - - /* Agent-specific styles */ - .log-entry.highlighted { - border-left: 3px solid #3498db !important; - background-color: rgba(52, 152, 219, 0.1) !important; - padding-left: 10px !important; - margin: 5px 0 !important; - } - - .log-entry.agent-moderator { - border-left: 3px solid #9b59b6 !important; - } - - .log-entry.agent-user-agent { - border-left: 3px solid #2ecc71 !important; - } - - .log-entry.agent-analysis-agent { - border-left: 3px solid #f39c12 !important; - } - - .log-entry.agent-coder { - border-left: 3px solid #e74c3c !important; - } - - .log-entry.agent-assistant { - border-left: 3px solid #1abc9c !important; - } - - /* Waiting animation */ - .waiting-dots { - display: inline-block !important; - width: 24px; - height: 16px; - text-align: left !important; - font-weight: bold !important; - color: #3498db !important; - margin-left: 5px; - } - - /* Log content formatting */ - .log-content h1 { - font-size: 1.5rem; - color: #1f2937; - border-bottom: 1px solid #e5e7eb; - padding-bottom: 0.5rem; - margin-bottom: 1rem; - } - - .log-content h2 { - font-size: 1.25rem; - color: #374151; - margin-top: 1rem; - margin-bottom: 0.75rem; - } - - .log-content h3 { - font-size: 1.1rem; - color: #4b5563; - margin-top: 0.75rem; - margin-bottom: 0.5rem; - } - - .log-content strong { - font-weight: 600; - color: #111827; - } - - .log-content em { - font-style: italic; - color: #4b5563; - } - - .log-content code { - background-color: #f3f4f6; - border-radius: 0.25rem; - padding: 0.125rem 0.25rem; - font-family: 'Consolas', monospace; - font-size: 0.875em; - color: #111827; - } - - .log-content .code-block { - background-color: #111827; - color: #34d399; - border-radius: 0.25rem; - padding: 0.75rem; - font-family: 'Consolas', monospace; - font-size: 0.875rem; - margin: 0.5rem 0; - white-space: pre-wrap; - word-break: break-all; - } - - .log-content ul { - list-style-type: disc; - padding-left: 1.5rem; - margin: 0.5rem 0; - } - - .log-content li { - margin-bottom: 0.25rem; - line-height: 1.4; - } - - .log-content .log-table { - width: 100%; - border-collapse: collapse; - margin: 1rem 0; - box-shadow: 0 1px 3px rgba(0,0,0,0.05); - } - - .log-content .log-table th, - .log-content .log-table td { - border: 1px solid #e5e7eb; - padding: 0.5rem; - text-align: left; - } - - .log-content .log-table thead { - background-color: #f9fafb; - border-bottom: 2px solid #e5e7eb; - } - - .log-content .log-table tr:nth-child(even) { - background-color: #f9fafb; - } - - /* Empty state */ - .log-empty-state { - color: #6b7280; - font-style: italic; - text-align: center; - padding: 1rem; - } - - /* Scroll behavior */ - .execution-log { - scrollbar-width: thin; - scrollbar-color: rgba(209, 213, 219, 0.5) transparent; - } - - .execution-log::-webkit-scrollbar { - width: 6px; - } - - .execution-log::-webkit-scrollbar-track { - background: transparent; - } - - .execution-log::-webkit-scrollbar-thumb { - background-color: rgba(209, 213, 219, 0.5); - border-radius: 3px; - } \ No newline at end of file diff --git a/static/69_styles_workflow_ui.css b/static/69_styles_workflow_ui.css deleted file mode 100644 index 0c1361cb..00000000 --- a/static/69_styles_workflow_ui.css +++ /dev/null @@ -1,366 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - UI Component Styles - * Styles for UI elements, controls, and interactive components - */ - -/* Prompt selection */ -.prompt-selection { - width: 100%; -} - -#prompt-select-main { - width: 100%; - padding: 0.375rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem; - background-color: white; - font-size: 0.875rem; - margin-bottom: 0.5rem; -} - -.prompt-select-label { - display: block; - margin-bottom: 0.25rem; - font-weight: 500; -} - -/* Workflow controls */ -.workflow-controls { - display: flex; - gap: 0.5rem; - margin-left: auto; -} - -#stop-workflow-btn { - background-color: #ef4444; - color: white; -} - -#stop-workflow-btn:hover { - background-color: #dc2626; -} - -#reset-btn { - background-color: #f3f4f6; - color: #4b5563; -} - -#reset-btn:hover { - background-color: #e5e7eb; -} - -#send-user-message-btn { - background-color: #3b82f6; - color: white; -} - -#send-user-message-btn:hover { - background-color: #2563eb; -} - -#send-user-message-btn.running { - background-color: #6b7280; - cursor: not-allowed; -} - -/* Upload button */ -#upload-additional-file-btn { - background-color: #fff; - border: 1px solid #d1d5db; - color: #4b5563; - display: flex; - align-items: center; - gap: 0.375rem; -} - -#upload-additional-file-btn:hover { - background-color: #f9fafb; - border-color: #9ca3af; -} - -#additional-file-input { - display: none; -} - -/* Data statistics */ -.data-statistics { - display: flex; - gap: 0.5rem; - font-size: 0.75rem; - color: #6b7280; - padding: 0.25rem 0.5rem; - background-color: #f9fafb; - border-radius: 0.25rem; - margin-left: auto; -} - -.stat-item { - white-space: nowrap; - display: flex; - align-items: center; - gap: 0.25rem; -} - -/* Workflow status indicator */ -.workflow-status-indicator { - padding: 5px 10px; - border-radius: 4px; - margin-bottom: 10px; - font-weight: bold; - display: flex; - align-items: center; -} - -.workflow-status-indicator.running { - background-color: rgba(52, 152, 219, 0.2); - color: #3498db; - border-left: 3px solid #3498db; -} - -.workflow-status-indicator.completed { - background-color: rgba(46, 204, 113, 0.2); - color: #2ecc71; - border-left: 3px solid #2ecc71; -} - -.workflow-status-indicator.stopped { - background-color: rgba(231, 76, 60, 0.2); - color: #e74c3c; - border-left: 3px solid #e74c3c; -} - -.workflow-status-indicator i { - margin-right: 8px; -} - -/* Input guidance and warnings */ -.input-guidance { - color: #6b7280; - font-size: 0.75rem; - margin-top: 0.375rem; -} - -.input-warning { - color: #b91c1c; - font-size: 0.75rem; - font-weight: 500; - margin-top: 0.375rem; - animation: fadeIn 0.3s ease; -} - -/* Collapsible sections */ -.collapsible-section { - overflow: hidden; - transition: max-height 0.3s ease; -} - -.collapsible-header { - cursor: pointer; - display: flex; - justify-content: space-between; - align-items: center; - padding: 0.5rem; - background-color: #f9fafb; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; -} - -.collapsible-header:hover { - background-color: #f3f4f6; -} - -.collapsible-content { - max-height: 0; - overflow: hidden; - transition: max-height 0.3s ease; -} - -.collapsible-section.expanded .collapsible-content { - max-height: 1000px; /* Arbitrary large value */ -} - -.collapsible-icon { - transition: transform 0.3s ease; -} - -.collapsible-section.expanded .collapsible-icon { - transform: rotate(180deg); -} - -/* Tooltips */ -.tooltip { - position: relative; - display: inline-block; -} - -.tooltip .tooltip-text { - visibility: hidden; - width: 200px; - background-color: #333; - color: #fff; - text-align: center; - border-radius: 6px; - padding: 5px; - position: absolute; - z-index: 1; - bottom: 125%; - left: 50%; - transform: translateX(-50%); - opacity: 0; - transition: opacity 0.3s; - font-size: 0.75rem; -} - -.tooltip .tooltip-text::after { - content: ""; - position: absolute; - top: 100%; - left: 50%; - margin-left: -5px; - border-width: 5px; - border-style: solid; - border-color: #333 transparent transparent transparent; -} - -.tooltip:hover .tooltip-text { - visibility: visible; - opacity: 1; -} - -/* Loading spinner */ -.spinner { - width: 20px; - height: 20px; - border-radius: 50%; - border: 2px solid rgba(255, 255, 255, 0.3); - border-top-color: #fff; - animation: spin 0.8s linear infinite; - display: inline-block; -} - -@keyframes spin { - to { transform: rotate(360deg); } -} - -/* Toggle button */ -.toggle-switch { - position: relative; - display: inline-block; - width: 40px; - height: 24px; -} - -.toggle-switch input { - opacity: 0; - width: 0; - height: 0; -} - -.toggle-slider { - position: absolute; - cursor: pointer; - top: 0; - left: 0; - right: 0; - bottom: 0; - background-color: #ccc; - transition: .4s; - border-radius: 24px; -} - -.toggle-slider:before { - position: absolute; - content: ""; - height: 16px; - width: 16px; - left: 4px; - bottom: 4px; - background-color: white; - transition: .4s; - border-radius: 50%; -} - -input:checked + .toggle-slider { - background-color: #3b82f6; -} - -input:focus + .toggle-slider { - box-shadow: 0 0 1px #3b82f6; -} - -input:checked + .toggle-slider:before { - transform: translateX(16px); -} - -/* Badge */ -.badge { - display: inline-block; - padding: 0.25em 0.5em; - font-size: 0.75em; - font-weight: 500; - line-height: 1; - text-align: center; - white-space: nowrap; - vertical-align: baseline; - border-radius: 0.25rem; - margin-left: 0.5rem; -} - -.badge-primary { - background-color: #3b82f6; - color: white; -} - -.badge-secondary { - background-color: #9ca3af; - color: white; -} - -.badge-success { - background-color: #10b981; - color: white; -} - -.badge-danger { - background-color: #ef4444; - color: white; -} - -.badge-warning { - background-color: #f59e0b; - color: white; -} - -.badge-info { - background-color: #0ea5e9; - color: white; -} - -/* Animation keyframes */ -@keyframes fadeIn { - from { opacity: 0; } - to { opacity: 1; } -} - -@keyframes slideInUp { - from { transform: translateY(10px); opacity: 0; } - to { transform: translateY(0); opacity: 1; } -} - -@keyframes pulse { - 0% { opacity: 1; } - 50% { opacity: 0.5; } - 100% { opacity: 1; } -} - -.fade-in { - animation: fadeIn 0.3s ease; -} - -.slide-in-up { - animation: slideInUp 0.3s ease; -} - -.pulse { - animation: pulse 1.5s infinite; -} \ No newline at end of file diff --git a/static/70_part_workflow.html b/static/70_part_workflow.html deleted file mode 100644 index a7b05438..00000000 --- a/static/70_part_workflow.html +++ /dev/null @@ -1,116 +0,0 @@ - -
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    \ No newline at end of file diff --git a/static/71_styles_workflow.css b/static/71_styles_workflow.css deleted file mode 100644 index ffb4f1bc..00000000 --- a/static/71_styles_workflow.css +++ /dev/null @@ -1,374 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - Core Workflow Styles - * Core container layout and basic structure styles - */ - -/* Main container layout */ -.workflow-container { - display: flex; - flex-direction: column; - height: 100vh; - width: 100%; - overflow: hidden; -} - -/* HEADER SECTION */ -.workflow-header { - flex: 0 0 auto; - position: sticky; - top: 0; - z-index: 100; - background-color: white; - box-shadow: 0 2px 4px rgba(0,0,0,0.1); - border-bottom: 1px solid #e5e7eb; - transition: all 0.3s ease; - height: 200px; /* Set default height for header section */ -} - -.workflow-header.collapsed { - height: 50px; - overflow: hidden; -} - -.header-columns { - display: flex; - width: 100%; - height: 100%; -} - -.header-left { - width: 70%; - border-right: 1px solid #e5e7eb; - height: 100%; - transition: all 0.3s ease; - display: flex; -} - -.header-right { - width: 30%; - padding: 1rem; - display: flex; - align-items: flex-start; - justify-content: flex-end; -} - -.header-content-wrapper { - display: flex; - width: 100%; - height: 100%; -} - -.section-toggle { - width: 40px; - background-color: #f8f9fa; - display: flex; - justify-content: center; - padding-top: 10px; - border-right: 1px solid #e5e7eb; -} - -/* CHAT SECTION */ -.chat-section { - flex: 1; - min-height: 0; /* Important for flex child scrolling */ - overflow: hidden; -} - -.chat-columns { - display: flex; - height: 100%; -} - -.chat-left { - width: 70%; - display: flex; - flex-direction: column; - border-right: 1px solid #e5e7eb; - height: 100%; - overflow: hidden; -} - -.chat-right { - width: 30%; - height: 100%; - overflow: hidden; -} - -.empty-state { - flex: 1; - display: flex; - align-items: center; - justify-content: center; - color: #9ca3af; - padding: 2rem; -} - -.empty-state-content { - text-align: center; -} - -/* FOOTER SECTION */ -.workflow-footer { - flex: 0 0 auto; - position: sticky; - bottom: 0; - z-index: 100; - background-color: white; - box-shadow: 0 -2px 4px rgba(0,0,0,0.05); - border-top: 1px solid #e5e7eb; - max-height: 25vh; - transition: all 0.3s ease; -} - -.footer-columns { - display: flex; - width: 100%; -} - -.footer-left { - width: 70%; - border-right: 1px solid #e5e7eb; -} - -.footer-right { - width: 30%; - padding: 1rem; - overflow-y: auto; -} - -/* Button styles */ -.btn { - display: inline-flex; - align-items: center; - justify-content: center; - gap: 0.375rem; - padding: 0.5rem 0.75rem; - border-radius: 0.25rem; - font-size: 0.875rem; - font-weight: 500; - cursor: pointer; - transition: all 0.2s ease; -} - -.btn-sm { - padding: 0.25rem 0.5rem; - font-size: 0.75rem; -} - -.btn-outline-secondary { - background-color: transparent; - border: 1px solid #d1d5db; - color: #4b5563; -} - -.btn-outline-secondary:hover { - background-color: #f3f4f6; -} - -.btn-outline-primary { - background-color: transparent; - border: 1px solid #3b82f6; - color: #3b82f6; -} - -.btn-outline-primary:hover { - background-color: #eff6ff; -} - -.btn-primary { - background-color: #3b82f6; - border: 1px solid #3b82f6; - color: white; -} - -.btn-primary:hover { - background-color: #2563eb; - border-color: #2563eb; -} - -.btn-danger { - background-color: #ef4444; - border: 1px solid #ef4444; - color: white; -} - -.btn-danger:hover { - background-color: #dc2626; - border-color: #dc2626; -} - -.btn:disabled { - opacity: 0.5; - cursor: not-allowed; -} - -/* Toast notification styling */ -#toast-container { - position: fixed; - bottom: 20px; - right: 20px; - z-index: 1000; - display: flex; - flex-direction: column; - gap: 10px; -} - -.toast { - min-width: 250px; - max-width: 350px; - background-color: white; - color: #333; - border-radius: 4px; - padding: 12px 15px; - box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2); - opacity: 1; - transition: all 0.3s ease; - border-left: 4px solid #4CAF50; -} - -.toast.error { - border-left-color: #F44336; -} - -.toast.warning { - border-left-color: #FF9800; -} - -.toast.info { - border-left-color: #2196F3; -} - -.toast.hide { - opacity: 0; - transform: translateX(30px); -} - -.toast-content { - display: flex; - align-items: center; -} - -.toast-content i { - margin-right: 10px; - font-size: 18px; -} - -.toast.success i { - color: #4CAF50; -} - -.toast.error i { - color: #F44336; -} - -.toast.warning i { - color: #FF9800; -} - -.toast.info i { - color: #2196F3; -} - -/* Error message */ -.workflow-error-message { - position: fixed; - top: 50%; - left: 50%; - transform: translate(-50%, -50%); - background-color: white; - padding: 20px; - border-radius: 8px; - box-shadow: 0 4px 20px rgba(0, 0, 0, 0.15); - max-width: 500px; - width: 90%; - z-index: 1000; -} - -.error-content { - display: flex; - flex-direction: column; - align-items: center; - text-align: center; -} - -.error-content i { - font-size: 48px; - color: #ef4444; - margin-bottom: 16px; -} - -.error-content h3 { - margin: 0 0 12px 0; - color: #111827; -} - -.error-content p { - margin: 0; - color: #4b5563; -} - -/* Animation keyframes */ -@keyframes fadeIn { - from { opacity: 0; } - to { opacity: 1; } -} - -@keyframes fadeOut { - from { opacity: 1; transform: translateY(0); } - to { opacity: 0; transform: translateY(-10px); } -} - -/* Responsive adjustments */ -@media (max-width: 992px) { - .header-columns, .chat-columns, .footer-columns { - flex-direction: column; - } - - .header-left, .header-right, .chat-left, .chat-right, .footer-left, .footer-right { - width: 100%; - border-right: none; - } - - .header-left, .chat-left, .footer-left { - border-bottom: 1px solid #e5e7eb; - } - - .workflow-footer { - max-height: 50vh; - } - - .header-content-wrapper { - flex-direction: column; - } - - .section-toggle { - width: 100%; - height: 40px; - padding-top: 0; - padding-left: 10px; - justify-content: flex-start; - align-items: center; - border-right: none; - border-bottom: 1px solid #e5e7eb; - } -} - -/* Common scrollbar styling */ -.workflow-container ::-webkit-scrollbar { - width: 6px; - height: 6px; -} - -.workflow-container ::-webkit-scrollbar-track { - background: transparent; -} - -.workflow-container ::-webkit-scrollbar-thumb { - background-color: #d1d5db; - border-radius: 3px; -} - -.workflow-container { - scrollbar-width: thin; - scrollbar-color: #d1d5db transparent; -} \ No newline at end of file diff --git a/static/72_styles.css b/static/72_styles.css deleted file mode 100644 index 32d8fd7f..00000000 --- a/static/72_styles.css +++ /dev/null @@ -1,613 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - Hauptstyles - * Optimiert für Expertenansicht mit mehr Platz für den Workflow - */ - -/* ===== GRUNDLEGENDE RESETS UND BASIS-STYLES ===== */ -* { - margin: 0; - padding: 0; - box-sizing: border-box; -} - -body { - font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; - background-color: #f0f2f5; - color: #333; - line-height: 1.5; - font-size: 14px; -} - -ul { - list-style: none; -} - -a { - text-decoration: none; - color: inherit; -} - -button { - cursor: pointer; - border: none; - background: none; - font-family: inherit; -} - -h2 { - font-size: 1.25rem; - font-weight: 600; - margin-bottom: 0.75rem; -} - -h3 { - font-size: 1rem; - font-weight: 600; - margin-bottom: 0.75rem; - color: #4b5563; -} - -h4 { - font-size: 0.875rem; - font-weight: 600; - margin-bottom: 0.5rem; - color: #6b7280; -} - -/* ===== LAYOUT COMPONENTS ===== */ -/* Navbar */ -.navbar { - background-color: #2563eb; - color: white; - padding: 0.5rem 1rem; - box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); - height: 3rem; -} - -.navbar-container { - display: flex; - justify-content: space-between; - align-items: center; - max-width: 1800px; - margin: 0 auto; - height: 100%; -} - -.navbar-logo { - font-size: 1.25rem; - font-weight: 600; -} - -.navbar-user { - display: flex; - align-items: center; - gap: 0.5rem; -} - -/* App Container Layout */ -.app-container { - display: flex; - max-width: 1800px; - margin: 0 auto; - min-height: calc(100vh - 3rem); - /* Entfernung von eventuellen Abständen */ - padding: 0; - gap: 0; -} - -/* Main Content */ -.main-content { - flex: 1; - padding: 0.75rem 1rem; - display: flex; - flex-direction: column; /* Stellt sicher, dass der Inhalt vertikal fließt */ - /* Entfernung aller Abstandswerte */ - margin: 0; - border-left: none; /* Falls eine Grenze existiert */ -} - -/* ===== COMMON COMPONENTS ===== */ -/* Buttons */ -.btn, .add-btn { - display: inline-flex; - align-items: center; - gap: 0.25rem; - padding: 0.375rem 0.75rem; - border-radius: 0.25rem; - font-size: 0.875rem; - font-weight: 500; - transition: background-color 0.2s; -} - -.btn-sm { - padding: 0.25rem 0.5rem; - font-size: 0.75rem; -} - -.icon-button { - display: flex; - align-items: center; - justify-content: center; - width: 1.75rem; - height: 1.75rem; - border-radius: 50%; - color: white; - transition: background-color 0.2s; -} - -.icon-button:hover { - background-color: rgba(255, 255, 255, 0.2); -} - -/* Primary Buttons */ -.add-btn { - background-color: #10b981; - color: white; -} - -.add-btn:hover { - background-color: #059669; -} - -/* Action Buttons Container */ -.action-buttons { - display: flex; - justify-content: flex-end; - gap: 0.5rem; - margin-bottom: 0.75rem; -} - -/* List Actions Buttons */ -.edit-btn, .edit-agent-btn, .edit-workspace-btn, .edit-user-btn, .edit-mandate-btn { - background-color: #3b82f6; - color: white; - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - font-size: 0.75rem; -} - -.edit-btn:hover, .edit-agent-btn:hover, .edit-workspace-btn:hover, .edit-user-btn:hover, .edit-mandate-btn:hover { - background-color: #2563eb; -} - -.delete-btn, .delete-agent-btn, .delete-workspace-btn, .delete-user-btn, .delete-mandate-btn, .delete-file-btn, .delete-prompt-btn { - background-color: #ef4444; - color: white; - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - font-size: 0.75rem; -} - -.delete-btn:hover, .delete-agent-btn:hover, .delete-workspace-btn:hover, .delete-user-btn:hover, .delete-mandate-btn:hover, .delete-file-btn:hover, .delete-prompt-btn:hover { - background-color: #dc2626; -} - -.activate-btn, .activate-workspace-btn, .activate-user-btn, .use-prompt-btn { - background-color: #10b981; - color: white; - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - font-size: 0.75rem; -} - -.activate-btn:hover, .activate-workspace-btn:hover, .activate-user-btn:hover, .use-prompt-btn:hover { - background-color: #059669; -} - -/* Cards */ -.card { - background-color: white; - border-radius: 0.375rem; - box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1); - padding: 0.75rem; - margin-bottom: 0.75rem; -} - -/* Section Headers */ -.section-header { - display: flex; - justify-content: space-between; - align-items: center; - margin-bottom: 0.75rem; -} - -/* ===== SPECIFIC COMPONENTS ===== */ -/* Files Module */ -.files-tabs { - display: flex; - margin-bottom: 1rem; - border-bottom: 1px solid #e5e7eb; -} - -.tab-btn { - padding: 0.5rem 1rem; - border-bottom: 2px solid transparent; - cursor: pointer; - font-weight: 500; -} - -.tab-btn.active { - border-bottom-color: #3b82f6; - color: #3b82f6; -} - -.search-bar { - display: flex; - margin-bottom: 1rem; -} - -.search-bar input { - flex: 1; - padding: 0.5rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem 0 0 0.25rem; -} - -.search-bar button { - padding: 0.5rem 0.75rem; - background: #3b82f6; - color: white; - border-radius: 0 0.25rem 0.25rem 0; -} - -.files-list-container { - margin-top: 1rem; -} - -.files-grid-header { - display: grid; - grid-template-columns: 2fr 1fr 1fr 1fr 1fr; - background-color: #f3f4f6; - padding: 0.5rem; - font-weight: 500; - border-radius: 0.25rem 0.25rem 0 0; -} - -.files-list { - border: 1px solid #e5e7eb; - border-radius: 0 0 0.25rem 0.25rem; -} - -/* File header columns */ -.file-header-name, .file-header-type, .file-header-size, .file-header-date, .file-header-actions { - padding: 0.5rem; -} - -.refresh-btn { - background-color: #f3f4f6; - color: #4b5563; - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - font-size: 0.875rem; -} - -.refresh-btn:hover { - background-color: #e5e7eb; -} - -.module-wrapper { - padding: 0.5rem; -} - -.module-header { - display: flex; - justify-content: space-between; - align-items: center; - margin-bottom: 1rem; -} - -.module-content { - margin-bottom: 1rem; -} - -.module-actions { - display: flex; - gap: 0.5rem; -} - -.upload-section { - margin-bottom: 1rem; - display: flex; - flex-direction: column; - gap: 0.5rem; -} - -.upload-info { - font-size: 0.75rem; - color: #6b7280; -} - -/* Module Container */ -.module-container { - height: calc(100vh - 5rem); /* Volle Höhe für Module */ - overflow-y: auto; -} - -/* ===== LIST ITEM COMPONENTS ===== */ -/* Common List Items */ -.list-item, .agent-list-item, .workspace-list-item, .prompt-item, .user-item, .mandate-item { - background-color: white; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; - padding: 0.75rem; - margin-bottom: 0.75rem; - box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05); -} - -.list-item:hover, .agent-list-item:hover, .workspace-list-item:hover, .prompt-item:hover, .user-item:hover, .mandate-item:hover { - box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); -} - -.list-header, .agent-header, .workspace-header, .prompt-header, .user-header, .mandate-header { - display: flex; - justify-content: space-between; - align-items: center; - margin-bottom: 0.5rem; -} - -.list-body, .agent-description, .workspace-meta, .prompt-meta, .user-meta, .mandate-meta { - font-size: 0.75rem; - color: #6b7280; - margin-bottom: 0.5rem; -} - -.list-actions, .agent-actions, .workspace-actions, .prompt-actions, .user-actions, .mandate-actions { - display: flex; - justify-content: flex-end; - gap: 0.375rem; -} - -/* Badges and Tags */ -.badge, .tag, .agent-type, .workspace-type, .mandate-language, .user-badge { - font-size: 0.7rem; - padding: 0.125rem 0.375rem; - border-radius: 9999px; - display: inline-flex; - align-items: center; -} - -.badge-blue, .agent-type, .workspace-type { - background-color: #e0f2fe; - color: #0369a1; -} - -.badge-gray { - background-color: #f3f4f6; - color: #4b5563; -} - -.badge-green, .user-badge.active { - background-color: #dcfce7; - color: #16a34a; -} - -.badge-red, .user-badge.disabled { - background-color: #fee2e2; - color: #dc2626; -} - -.badge-purple, .user-badge.sysadmin { - background-color: #f3e8ff; - color: #7e22ce; -} - -/* ===== FORMS AND MODALS ===== */ -/* Form Groups */ -.form-group { - margin-bottom: 0.75rem; -} - -.form-group label { - display: block; - font-weight: 500; - margin-bottom: 0.375rem; - font-size: 0.875rem; - color: #4b5563; -} - -.form-control { - width: 100%; - padding: 0.5rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem; - font-size: 0.875rem; -} - -.form-control:focus { - outline: none; - border-color: #2563eb; - box-shadow: 0 0 0 2px rgba(37, 99, 235, 0.1); -} - -/* Checkboxes in Formularen */ -.form-field.checkbox { - display: flex; - align-items: center; -} - -.form-field.checkbox input[type="checkbox"] { - margin-right: 0.5rem; - width: auto; -} - -.form-field.checkbox label, .checkbox-label { - margin-bottom: 0; - display: flex; - align-items: center; - cursor: pointer; -} - -/* Feld-Beschreibungen */ -.field-description { - font-size: 0.75rem; - color: #6b7280; - margin-top: 0.25rem; -} - -/* Modals */ -.modal-overlay { - position: fixed; - top: 0; - left: 0; - right: 0; - bottom: 0; - background-color: rgba(0, 0, 0, 0.5); - display: flex; - justify-content: center; - align-items: center; - z-index: 1000; -} - -.modal-container { - background-color: white; - border-radius: 0.375rem; - box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2); - width: 90%; - max-width: 500px; - max-height: 90vh; - overflow-y: auto; -} - -.modal-header { - display: flex; - justify-content: space-between; - align-items: center; - padding: 0.75rem; - border-bottom: 1px solid #e0e0e0; -} - -.modal-header h3 { - margin: 0; - font-size: 1rem; -} - -.close-modal-btn { - background: none; - border: none; - font-size: 1.25rem; - cursor: pointer; -} - -.modal-body { - padding: 0.75rem; -} - -.modal-footer { - padding: 0.75rem; - display: flex; - justify-content: flex-end; - gap: 0.5rem; - border-top: 1px solid #e0e0e0; -} - -/* ===== LOGIN & REGISTRATION ===== */ -.login-container { - max-width: 400px; - margin: 80px auto; - padding: 1.5rem; - background-color: white; - border-radius: 0.375rem; - box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); -} - -.login-container h1 { - text-align: center; - margin-bottom: 1.5rem; - color: #2563eb; - font-size: 1.5rem; -} - -.login-form-group { - margin-bottom: 1rem; -} - -.login-form-group label { - display: block; - margin-bottom: 0.375rem; - font-weight: 500; - font-size: 0.875rem; - color: #4b5563; -} - -.login-form-group input { - width: 100%; - padding: 0.625rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem; - font-size: 0.875rem; -} - -.login-form-group input:focus { - outline: none; - border-color: #2563eb; - box-shadow: 0 0 0 2px rgba(37, 99, 235, 0.1); -} - -.login-btn { - width: 100%; - padding: 0.625rem; - background-color: #2563eb; - color: white; - border: none; - border-radius: 0.25rem; - font-weight: 500; - cursor: pointer; - transition: background-color 0.2s; - margin-top: 0.5rem; -} - -.login-btn:hover { - background-color: #1d4ed8; -} - -.register-link { - margin-top: 1rem; - text-align: center; - font-size: 0.875rem; - color: #6b7280; -} - -.register-link a { - color: #2563eb; - font-weight: 500; -} - -.register-link a:hover { - text-decoration: underline; -} - -.login-error-message { - padding: 0.625rem; - margin-bottom: 1rem; - border-radius: 0.25rem; - font-size: 0.875rem; - background-color: #fef2f2; - color: #ef4444; - border: 1px solid #fecaca; -} - -.auth-page { - min-height: 100vh; - display: flex; - justify-content: center; - align-items: center; - background-color: #f3f4f6; -} - -/* Animation für Formularwechsel */ -#login-container, #register-container { - transition: all 0.3s ease; -} - -/* Responsive Anpassungen */ -@media (max-width: 480px) { - .login-container { - max-width: 100%; - margin: 40px 20px; - padding: 1.25rem; - } - - .login-container h1 { - font-size: 1.25rem; - } -} \ No newline at end of file diff --git a/static/73_styles_form.css b/static/73_styles_form.css deleted file mode 100644 index 88f960bc..00000000 --- a/static/73_styles_form.css +++ /dev/null @@ -1,443 +0,0 @@ -/** - * Ausgelagerte Styles für das generische Entitätsmodul - * Optimiert für kompakte Buttons ohne Zeilenumbruch - */ - -/* ===== ENTITY TABLE STYLES ===== */ -.entity-table-wrapper { - width: 100%; - overflow-x: auto; -} - -.entity-actions { - display: flex; - justify-content: space-between; - align-items: center; - margin-bottom: 0.75rem; -} - -.entity-bulk-actions { - display: flex; - align-items: center; - gap: 0.5rem; -} - -.entity-selection-count { - font-size: 0.75rem; - color: #6b7280; -} - -.entity-filter { - display: flex; - align-items: center; -} - -.entity-search { - padding: 0.375rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem; - margin-right: 0.5rem; - font-size: 0.875rem; -} - -.entity-table-container { - margin-bottom: 1rem; - border: 1px solid #e5e7eb; - border-radius: 0.25rem; - overflow: hidden; -} - -.entity-table { - width: 100%; - border-collapse: collapse; -} - -.entity-table th, -.entity-table td { - padding: 0.5rem; - text-align: left; - border-bottom: 1px solid #e5e7eb; -} - -.entity-table th { - background-color: #f9fafb; - font-weight: 500; -} - -.entity-table th.sortable { - cursor: pointer; -} - -.entity-table th.sortable:hover { - background-color: #f3f4f6; -} - -/* Checkbox und ID Columns */ -.entity-checkbox-column { - width: 36px; -} - -.entity-id-column { - width: 50px; -} - -/* Aktionen-Spalte breiter und mit fester Breite */ -.entity-actions-column { - width: 120px; /* Feste Breite */ - min-width: 120px; /* Mindestbreite, verhindert Umbrüche */ -} - -.entity-checkbox-cell, -.entity-id-cell { - white-space: nowrap; -} - -/* Tabellenzelle für Aktionen mit fester Breite */ -.entity-actions-cell { - white-space: nowrap; - width: 120px; - min-width: 120px; - max-width: 120px; -} - -/* Pagination */ -.entity-pagination { - display: flex; - align-items: center; - justify-content: center; - gap: 0.5rem; - font-size: 0.875rem; -} - -.entity-page-prev, -.entity-page-next { - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - background-color: #f3f4f6; -} - -.entity-page-prev:disabled, -.entity-page-next:disabled { - opacity: 0.5; - cursor: not-allowed; -} - -.entity-items-per-page { - padding: 0.25rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem; -} - -/* Empty and Loading States */ -.entity-empty-state { - text-align: center; - padding: 2rem; -} - -.entity-add-btn-empty { - margin-top: 0.5rem; - padding: 0.375rem 0.75rem; - background-color: #3b82f6; - color: white; - border-radius: 0.25rem; -} - -.entity-loading { - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - padding: 2rem; -} - -.entity-spinner { - width: 2rem; - height: 2rem; - border: 3px solid #e5e7eb; - border-top-color: #3b82f6; - border-radius: 50%; - animation: spin 1s linear infinite; - margin-bottom: 0.5rem; -} - -@keyframes spin { - to { transform: rotate(360deg); } -} - -.entity-error { - background-color: #fee2e2; - color: #b91c1c; - padding: 0.75rem; - border-radius: 0.25rem; - margin-bottom: 1rem; -} - -.entity-retry-btn { - background-color: #ef4444; - color: white; - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - margin-top: 0.5rem; -} - -/* Row Actions Container - nebeneinander ohne Umbruch */ -.entity-row-actions, -.entity-custom-actions { - display: flex; - flex-wrap: nowrap; /* Verhindert Umbrüche */ - gap: 4px; /* Kleinerer Abstand */ -} - -/* Kleinere optimierte Button-Styles */ -.entity-action-btn, -.entity-view-btn, -.entity-edit-btn, -.entity-delete-btn, -.entity-custom-btn, -.entity-use-btn, -.entity-copy-btn, -.entity-activate-btn, -.entity-deactivate-btn, -.entity-reset-btn, -.entity-download-btn, -.entity-default-btn { - display: inline-flex; - align-items: center; - justify-content: center; - width: 1.25rem; /* Kleinere Buttons */ - height: 1.25rem; /* Kleinere Buttons */ - border-radius: 0.25rem; - color: white; - font-size: 0.7rem; /* Kleinere Icons */ - position: relative; - padding: 0; /* Kein Padding */ - margin: 0 1px; /* Kleinerer Rand */ - min-width: 1.25rem; /* Feste Mindestbreite */ -} - -/* Tooltips für Buttons ohne Text - nach unten positioniert für bessere Sichtbarkeit */ -.entity-action-btn::before, -.entity-view-btn::before, -.entity-edit-btn::before, -.entity-delete-btn::before, -.entity-custom-btn::before, -.entity-use-btn::before, -.entity-copy-btn::before, -.entity-activate-btn::before, -.entity-deactivate-btn::before, -.entity-reset-btn::before, -.entity-download-btn::before, -.entity-default-btn::before { - content: attr(data-tooltip); - position: absolute; - bottom: -25px; /* Unter dem Button anzeigen statt oben */ - left: 50%; - transform: translateX(-50%); - background-color: #333; - color: white; - padding: 2px 6px; - border-radius: 3px; - font-size: 0.7rem; - white-space: nowrap; - visibility: hidden; - opacity: 0; - transition: opacity 0.3s; - z-index: 10; /* Höherer z-index */ -} - -.entity-action-btn:hover::before, -.entity-view-btn:hover::before, -.entity-edit-btn:hover::before, -.entity-delete-btn:hover::before, -.entity-custom-btn:hover::before, -.entity-use-btn:hover::before, -.entity-copy-btn:hover::before, -.entity-activate-btn:hover::before, -.entity-deactivate-btn:hover::before, -.entity-reset-btn:hover::before, -.entity-download-btn:hover::before, -.entity-default-btn:hover::before { - visibility: visible; - opacity: 1; -} - -/* Farben für verschiedene Button-Typen */ -.entity-view-btn { background-color: #3b82f6; } -.entity-edit-btn { background-color: #10b981; } -.entity-delete-btn { background-color: #ef4444; } -.entity-copy-btn { background-color: #6b7280; } -.entity-use-btn { background-color: #059669; } -.entity-activate-btn { background-color: #16a34a; } -.entity-deactivate-btn { background-color: #dc2626; } -.entity-reset-btn { background-color: #f59e0b; } -.entity-download-btn { background-color: #8b5cf6; } -.entity-default-btn { background-color: #f59e0b; } - -.entity-add-btn { - background-color: #3b82f6; - color: white; - padding: 0.375rem 0.75rem; - border-radius: 0.25rem; - font-size: 0.875rem; - display: inline-flex; - align-items: center; - gap: 0.25rem; -} - -.entity-add-btn:hover { - background-color: #2563eb; -} - -.entity-bulk-delete-btn { - background-color: #ef4444; - color: white; - padding: 0.25rem 0.5rem; - border-radius: 0.25rem; - font-size: 0.75rem; -} - -.entity-bulk-delete-btn:hover { - background-color: #dc2626; -} - -/* ===== ENTITY MODAL STYLES ===== */ -.entity-modal { - position: fixed; - top: 0; - left: 0; - right: 0; - bottom: 0; - background-color: rgba(0, 0, 0, 0.5); - display: flex; - justify-content: center; - align-items: center; - z-index: 1000; -} - -.entity-modal-content { - background-color: white; - border-radius: 0.375rem; - box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2); - width: 90%; - max-width: 500px; - max-height: 90vh; - overflow-y: auto; -} - -.entity-modal-header { - display: flex; - justify-content: space-between; - align-items: center; - padding: 0.75rem; - border-bottom: 1px solid #e0e0e0; -} - -.entity-modal-header h3 { - margin: 0; - font-size: 1rem; -} - -.entity-modal-close { - background: none; - border: none; - font-size: 1.25rem; - cursor: pointer; -} - -.entity-modal-body { - padding: 0.75rem; -} - -.entity-modal-footer { - padding: 0.75rem; - display: flex; - justify-content: flex-end; - gap: 0.5rem; - border-top: 1px solid #e0e0e0; -} - -.entity-modal-save, -.entity-modal-cancel, -.entity-modal-edit, -.entity-modal-delete { - padding: 0.375rem 0.75rem; - border-radius: 0.25rem; - font-size: 0.875rem; - cursor: pointer; -} - -.entity-modal-save, -.entity-modal-edit { - background-color: #2563eb; - color: white; -} - -.entity-modal-cancel { - background-color: #f3f4f6; - color: #4b5563; -} - -.entity-modal-delete { - background-color: #ef4444; - color: white; -} - -/* Entity form */ -.entity-form { - width: 100%; -} - -.entity-form-fields { - display: flex; - flex-direction: column; - gap: 0.75rem; -} - -.entity-form-group { - margin-bottom: 0.5rem; -} - -.entity-form-group label { - display: block; - font-weight: 500; - margin-bottom: 0.375rem; - font-size: 0.875rem; -} - -.entity-form-group input, -.entity-form-group textarea, -.entity-form-group select { - width: 100%; - padding: 0.5rem; - border: 1px solid #d1d5db; - border-radius: 0.25rem; - font-size: 0.875rem; -} - -/* Entity Details */ -.entity-details { - margin-bottom: 1rem; -} - -.entity-detail-row { - display: flex; - margin-bottom: 0.5rem; - border-bottom: 1px solid #f3f4f6; - padding-bottom: 0.5rem; -} - -.entity-detail-label { - font-weight: 500; - width: 30%; - color: #4b5563; -} - -.entity-detail-value { - width: 70%; -} - -.entity-custom-details { - margin-top: 1rem; - padding-top: 1rem; - border-top: 1px solid #e5e7eb; -} \ No newline at end of file diff --git a/static/74_styles_navigation.css b/static/74_styles_navigation.css deleted file mode 100644 index c51f2c01..00000000 --- a/static/74_styles_navigation.css +++ /dev/null @@ -1,358 +0,0 @@ -/* - * PowerOn | Multi-Agent Service - Navigation CSS - * Optimierte Styles für die Navigationskomponenten - */ - -/* ===== NAVIGATION COMPONENTS ===== */ - -/* Sidebar */ -.sidebar { - width: 250px; - background-color: #2c3e50; /* Dunklerer Hintergrund für besseren Kontrast */ - color: #ecf0f1; /* Hellere Textfarbe für bessere Lesbarkeit */ - box-shadow: 2px 0 10px rgba(0, 0, 0, 0.1); - padding: 0; /* Padding entfernen, um konsistentere Struktur zu haben */ - flex-shrink: 0; - font-size: 0.875rem; - height: 100vh; /* Volle Höhe */ - overflow-y: auto; /* Scrollbar bei Bedarf */ - } - - /* Sidebar-Header verbessern */ - .sidebar-header { - padding: 1.5rem 1rem; - margin-bottom: 0; - border-bottom: 1px solid rgba(255, 255, 255, 0.1); - background-color: #1a2530; /* Noch dunklerer Hintergrund für Header */ - } - - .sidebar-header h2 { - color: #3498db; /* Markenfarbe für Haupttitel */ - margin-bottom: 1rem; - font-size: 1.4rem; - font-weight: 600; - } - - /* Current Workspace styling */ - .sidebar .current-workspace { - padding: 0.75rem 1rem; - margin: 0; - font-weight: 500; - color: white; - background-color: rgba(52, 152, 219, 0.2); /* Leicht blaues Highlight */ - border-radius: 0; - border-left: 4px solid #3498db; /* Seitlicher Akzent */ - } - - /* Current User styling */ - .sidebar .current-user { - padding: 0.5rem 1rem; - color: #bdc3c7; - font-size: 0.8rem; - } - - /* Navigation Container verbessern */ - .navigation-container { - padding: 0; - } - - /* Hauptnavigation */ - #main-navigation { - margin: 0; - padding: 0; - } - - /* Navigationsitems einheitlicher gestalten */ - .nav-item { - border-left: 4px solid transparent; - transition: all 0.2s ease; - } - - .nav-item a { - padding: 0.75rem 1rem; - display: flex; - align-items: center; - color: #ecf0f1; - transition: all 0.2s ease; - } - - .nav-item:hover { - background-color: rgba(255, 255, 255, 0.05); - border-left-color: rgba(52, 152, 219, 0.5); - } - - .nav-item.active { - background-color: rgba(52, 152, 219, 0.2); - border-left-color: #3498db; - } - - .nav-item i { - width: 20px; - margin-right: 10px; - text-align: center; - color: #3498db; /* Icons in Markenfarbe */ - } - - /* Dropdown und Collapse Pfeile */ - .fa-chevron-down, .fa-caret-down { - transition: transform 0.3s ease; - margin-left: auto; - } - - .collapsed .fa-chevron-down { - transform: rotate(-90deg); - } - - /* Untermenüpunkte besser einrücken */ - .nav-item[data-level="1"] { - background-color: rgba(0, 0, 0, 0.1); - } - - .nav-item[data-level="2"] { - background-color: rgba(0, 0, 0, 0.2); - } - - /* Workspace wählen, Administration, etc. */ - .nav-action-btn { - width: 100%; - text-align: left; - padding: 0.75rem 1rem; - color: #ecf0f1; - display: flex; - align-items: center; - transition: all 0.2s ease; - } - - .nav-action-btn:hover { - background-color: rgba(255, 255, 255, 0.05); - } - - .nav-action-btn i { - width: 20px; - margin-right: 10px; - text-align: center; - color: #3498db; - } - - /* Bereichs-Überschriften in der Sidebar */ - .nav-section-header { - padding: 0.75rem 1rem; - margin-top: 1rem; - color: #3498db; - font-weight: 600; - text-transform: uppercase; - font-size: 0.75rem; - letter-spacing: 1px; - border-bottom: 1px solid rgba(255, 255, 255, 0.05); - } - - /* Spezial-Styling für Verwaltungsbereich */ - [data-module="verwaltung"] > a, - [data-module="administration"] > a { - color: #e74c3c; - } - - [data-module="verwaltung"] > a i, - [data-module="administration"] > a i { - color: #e74c3c; - } - - /* Einstellungen am Ende der Seitenleiste */ - [data-module="einstellungen"] { - margin-top: auto; /* Push to bottom */ - } - - /* Hover-Effekte und Fokus-Zustände für bessere Interaktivität */ - .nav-item a:focus, - .nav-action-btn:focus { - outline: none; - background-color: rgba(255, 255, 255, 0.1); - } - - /* Workspace-Liste und Items */ - .workspace-list { - margin-bottom: 1rem; - max-height: 200px; - overflow-y: auto; - background-color: rgba(0, 0, 0, 0.1); - } - - .workspace-item, .sidebar-item { - padding: 0.5rem 1rem; - margin-bottom: 0; - display: flex; - align-items: center; - cursor: pointer; - color: #ecf0f1; - transition: all 0.2s ease; - border-left: 4px solid transparent; - } - - .workspace-item i, .sidebar-item i { - margin-right: 0.5rem; - width: 1rem; - color: #3498db; - } - - .workspace-item:hover, .sidebar-item:hover { - background-color: rgba(255, 255, 255, 0.05); - border-left-color: rgba(52, 152, 219, 0.5); - } - - .workspace-item.active, .sidebar-item.active { - background-color: rgba(52, 152, 219, 0.2); - border-left-color: #3498db; - } - - .sidebar-item a { - display: flex; - align-items: center; - width: 100%; - padding: 0.5rem 0; - color: #ecf0f1; - } - - /* Workspace-Dropdown stylen */ - .workspace-dropdown { - background-color: #1a2530; - border-radius: 0; - border: none; - margin: 0; - padding: 0; - } - - .workspace-selector-header { - padding: 0.75rem 1rem; - color: #ecf0f1; - display: flex; - align-items: start; - justify-content: start; - } - - .workspace-selector-header i.fa-chevron-down { - margin-left: auto; - } - - /* Admin Navigation */ - .admin-nav { - margin-top: 1rem; - padding-top: 0.5rem; - border-top: 1px solid rgba(255, 255, 255, 0.1); - } - - .admin-nav h3 { - padding: 0.5rem 1rem; - color: #e74c3c; - font-size: 0.9rem; - } - - .admin-nav-items { - margin-top: 0.25rem; - } - - .sidebar-nav { - margin-top: 0.5rem; - } - - /* Top Navigation */ - .top-nav { - display: flex; - justify-content: space-between; - padding: 0.5rem 1rem; - background-color: #fff; - border-bottom: 1px solid #e5e7eb; - margin-bottom: 0.75rem; - box-shadow: 0 1px 3px rgba(0, 0, 0, 0.05); - } - - .current-workspace { - font-weight: 600; - color: #1d4ed8; - } - - .user-menu { - display: flex; - align-items: center; - gap: 0.5rem; - } - - .top-nav-items { - display: flex; - list-style: none; - margin: 0; - padding: 0; - } - - .top-nav-item { - margin-left: 1rem; - } - - /* Dropdown-Menü Styles */ - .dropdown { - position: relative; - display: inline-block; - } - - .dropdown-toggle { - display: flex; - align-items: center; - padding: 0.5rem; - cursor: pointer; - background: none; - border: none; - color: inherit; - } - - .dropdown-toggle i { - margin-right: 0.5rem; - } - - .dropdown-toggle .fa-caret-down { - margin-left: 0.5rem; - } - - .dropdown-content { - display: none; - position: absolute; - right: 0; - background-color: #f9f9f9; - min-width: 160px; - box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); - z-index: 1000; - border-radius: 0.25rem; - } - - .dropdown-content a { - color: #333; - padding: 12px 16px; - text-decoration: none; - display: block; - font-size: 0.875rem; - } - - .dropdown-content a:hover { - background-color: #f1f1f1; - } - - /* Logout-Button */ - .logout-btn { - display: flex; - align-items: center; - padding: 0.375rem 0.75rem; - background-color: rgba(231, 76, 60, 0.8); - color: white; - border-radius: 0.25rem; - font-size: 0.875rem; - transition: background-color 0.2s; - margin-top: 1rem; - margin-left: 1rem; - margin-right: 1rem; - } - - .logout-btn:hover { - background-color: rgba(231, 76, 60, 1); - } - - .logout-btn i { - margin-right: 0.5rem; - } \ No newline at end of file diff --git a/static/75_generated_code.py b/static/75_generated_code.py deleted file mode 100644 index 8ca54807..00000000 --- a/static/75_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(222) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/76_execution_history.json b/static/76_execution_history.json deleted file mode 100644 index 70784b4c..00000000 --- a/static/76_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(222)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\\n613\\n617\\n619\\n631\\n641\\n643\\n647\\n653\\n659\\n661\\n673\\n677\\n683\\n691\\n701\\n709\\n719\\n727\\n733\\n739\\n743\\n751\\n757\\n761\\n769\\n773\\n787\\n797\\n809\\n811\\n821\\n823\\n827\\n829\\n839\\n853\\n857\\n859\\n863\\n877\\n881\\n883\\n887\\n907\\n911\\n919\\n929\\n937\\n941\\n947\\n953\\n967\\n971\\n977\\n983\\n991\\n997\\n1009\\n1013\\n1019\\n1021\\n1031\\n1033\\n1039\\n1049\\n1051\\n1061\\n1063\\n1069\\n1087\\n1091\\n1093\\n1097\\n1103\\n1109\\n1117\\n1123\\n1129\\n1151\\n1153\\n1163\\n1171\\n1181\\n1187\\n1193\\n1201\\n1213\\n1217\\n1223\\n1229\\n1231\\n1237\\n1249\\n1259\\n1277\\n1279\\n1283\\n1289\\n1291\\n1297\\n1301\\n1303\\n1307\\n1319\\n1321\\n1327\\n1361\\n1367\\n1373\\n1381\\n1399\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541\n547\n557\n563\n569\n571\n577\n587\n593\n599\n601\n607\n613\n617\n619\n631\n641\n643\n647\n653\n659\n661\n673\n677\n683\n691\n701\n709\n719\n727\n733\n739\n743\n751\n757\n761\n769\n773\n787\n797\n809\n811\n821\n823\n827\n829\n839\n853\n857\n859\n863\n877\n881\n883\n887\n907\n911\n919\n929\n937\n941\n947\n953\n967\n971\n977\n983\n991\n997\n1009\n1013\n1019\n1021\n1031\n1033\n1039\n1049\n1051\n1061\n1063\n1069\n1087\n1091\n1093\n1097\n1103\n1109\n1117\n1123\n1129\n1151\n1153\n1163\n1171\n1181\n1187\n1193\n1201\n1213\n1217\n1223\n1229\n1231\n1237\n1249\n1259\n1277\n1279\n1283\n1289\n1291\n1297\n1301\n1303\n1307\n1319\n1321\n1327\n1361\n1367\n1373\n1381\n1399", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/77_prime_numbers.txt b/static/77_prime_numbers.txt deleted file mode 100644 index 0e474871..00000000 --- a/static/77_prime_numbers.txt +++ /dev/null @@ -1,222 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 -397 -401 -409 -419 -421 -431 -433 -439 -443 -449 -457 -461 -463 -467 -479 -487 -491 -499 -503 -509 -521 -523 -541 -547 -557 -563 -569 -571 -577 -587 -593 -599 -601 -607 -613 -617 -619 -631 -641 -643 -647 -653 -659 -661 -673 -677 -683 -691 -701 -709 -719 -727 -733 -739 -743 -751 -757 -761 -769 -773 -787 -797 -809 -811 -821 -823 -827 -829 -839 -853 -857 -859 -863 -877 -881 -883 -887 -907 -911 -919 -929 -937 -941 -947 -953 -967 -971 -977 -983 -991 -997 -1009 -1013 -1019 -1021 -1031 -1033 -1039 -1049 -1051 -1061 -1063 -1069 -1087 -1091 -1093 -1097 -1103 -1109 -1117 -1123 -1129 -1151 -1153 -1163 -1171 -1181 -1187 -1193 -1201 -1213 -1217 -1223 -1229 -1231 -1237 -1249 -1259 -1277 -1279 -1283 -1289 -1291 -1297 -1301 -1303 -1307 -1319 -1321 -1327 -1361 -1367 -1373 -1381 -1399 \ No newline at end of file diff --git a/static/78_generated_code.py b/static/78_generated_code.py deleted file mode 100644 index c9579c5a..00000000 --- a/static/78_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(111) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/79_execution_history.json b/static/79_execution_history.json deleted file mode 100644 index c55b11f8..00000000 --- a/static/79_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(111)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541\n547\n557\n563\n569\n571\n577\n587\n593\n599\n601\n607", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/80_prime_numbers.txt b/static/80_prime_numbers.txt deleted file mode 100644 index 2de48570..00000000 --- a/static/80_prime_numbers.txt +++ /dev/null @@ -1,111 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 -397 -401 -409 -419 -421 -431 -433 -439 -443 -449 -457 -461 -463 -467 -479 -487 -491 -499 -503 -509 -521 -523 -541 -547 -557 -563 -569 -571 -577 -587 -593 -599 -601 -607 \ No newline at end of file diff --git a/static/81_generated_code.py b/static/81_generated_code.py deleted file mode 100644 index c3741fa8..00000000 --- a/static/81_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(123) -primes_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": primes_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/82_execution_history.json b/static/82_execution_history.json deleted file mode 100644 index 1fe81a9b..00000000 --- a/static/82_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(123)\nprimes_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": primes_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\\n547\\n557\\n563\\n569\\n571\\n577\\n587\\n593\\n599\\n601\\n607\\n613\\n617\\n619\\n631\\n641\\n643\\n647\\n653\\n659\\n661\\n673\\n677\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541\n547\n557\n563\n569\n571\n577\n587\n593\n599\n601\n607\n613\n617\n619\n631\n641\n643\n647\n653\n659\n661\n673\n677", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/83_prime_numbers.txt b/static/83_prime_numbers.txt deleted file mode 100644 index d27ca1a3..00000000 --- a/static/83_prime_numbers.txt +++ /dev/null @@ -1,123 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 -397 -401 -409 -419 -421 -431 -433 -439 -443 -449 -457 -461 -463 -467 -479 -487 -491 -499 -503 -509 -521 -523 -541 -547 -557 -563 -569 -571 -577 -587 -593 -599 -601 -607 -613 -617 -619 -631 -641 -643 -647 -653 -659 -661 -673 -677 \ No newline at end of file diff --git a/static/84_generated_code.py b/static/84_generated_code.py deleted file mode 100644 index b8975421..00000000 --- a/static/84_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(123) -primes_str = ','.join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": primes_str, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/85_execution_history.json b/static/85_execution_history.json deleted file mode 100644 index a8a448d7..00000000 --- a/static/85_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(123)\nprimes_str = ','.join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": primes_str,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/86_prime_numbers.txt b/static/86_prime_numbers.txt deleted file mode 100644 index ceb68e5c..00000000 --- a/static/86_prime_numbers.txt +++ /dev/null @@ -1 +0,0 @@ -2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677 \ No newline at end of file diff --git a/static/87_generated_code.py b/static/87_generated_code.py deleted file mode 100644 index 69cb8684..00000000 --- a/static/87_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(100) -primes_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": primes_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/88_execution_history.json b/static/88_execution_history.json deleted file mode 100644 index 35ac3905..00000000 --- a/static/88_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(100)\nprimes_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": primes_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\\n541\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523\n541", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/89_prime_numbers.txt b/static/89_prime_numbers.txt deleted file mode 100644 index a3424ba7..00000000 --- a/static/89_prime_numbers.txt +++ /dev/null @@ -1,100 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 -397 -401 -409 -419 -421 -431 -433 -439 -443 -449 -457 -461 -463 -467 -479 -487 -491 -499 -503 -509 -521 -523 -541 \ No newline at end of file diff --git a/static/90_meaning_of_the_pie.txt b/static/90_meaning_of_the_pie.txt deleted file mode 100644 index 9f2712a4..00000000 --- a/static/90_meaning_of_the_pie.txt +++ /dev/null @@ -1,37 +0,0 @@ -# Meaning of "The Pie" - Research Report - -## Executive Summary - -This report explores the literal, idiomatic, and metaphorical meanings of the phrase "the pie" in English. The research investigates how "the pie" is used in common English phrases and expressions. The findings reveal that "the pie" can refer to both a literal baked dish and a metaphorical concept representing a shareable resource or opportunity. Additionally, the phrase is often used in idiomatic expressions to convey ideas related to division, sharing, and competition. - -## Research Questions and Findings - -### 1. What is the literal meaning of 'the pie' in English? - -The literal meaning of "the pie" refers to a baked dish typically consisting of a pastry crust filled with sweet or savory ingredients. Pies are a common culinary item in many cultures and can vary widely in terms of ingredients and preparation methods. The term "pie" can denote various types of dishes, including fruit pies, meat pies, and custard pies. - -### 2. Are there any idiomatic or metaphorical meanings associated with 'the pie'? - -Yes, "the pie" is often used metaphorically to represent a finite resource or opportunity that can be divided among different parties. This metaphorical usage is prevalent in discussions about economics, business, and social issues, where "the pie" symbolizes wealth, market share, or other resources that stakeholders aim to divide or compete for. - -### 3. How is 'the pie' used in common English phrases or expressions? - -"The pie" is frequently used in idiomatic expressions, such as: - -- **"A piece of the pie"**: This expression means obtaining a share of something valuable or desirable. It is often used in contexts where individuals or groups seek a portion of a larger resource or opportunity. - -- **"Growing the pie"**: This phrase refers to increasing the total amount of a resource or opportunity available, rather than merely dividing the existing amount. It is commonly used in economic contexts to suggest that creating more wealth or opportunities benefits everyone involved. - -- **"Cutting the pie"**: This expression involves dividing a resource or opportunity among different parties. It emphasizes the allocation process and is often used in discussions about fairness and equity. - -## Sources and Citations - -Due to the nature of this report, specific sources were not directly cited. However, the information presented is based on common linguistic and cultural understandings of the phrase "the pie" in English. For further reading, dictionaries and idiom reference books can provide additional insights into the usage and meanings of this phrase. - -## Conclusion - -The phrase "the pie" in English encompasses both literal and metaphorical meanings. While it literally refers to a type of baked dish, its idiomatic usage is widespread in discussions about resource allocation and competition. Understanding these different contexts enhances comprehension of how "the pie" is used in everyday language and specialized discussions. - ---- - -This report is intended to provide a comprehensive overview of the meanings and uses of "the pie" in English. It is formatted to meet scholarly standards and aims to offer clear and accurate insights into the phrase's significance. \ No newline at end of file diff --git a/static/91_translation_result.txt b/static/91_translation_result.txt deleted file mode 100644 index 29daf456..00000000 --- a/static/91_translation_result.txt +++ /dev/null @@ -1,117 +0,0 @@ -Translation of 'The Pie' Explanation -==================================== - -EXECUTIVE SUMMARY ------------------ - -Executive Summary: Übersetzung der Erklärung von 'The Pie' - -Diese Zusammenfassung bietet einen Überblick über den Bericht zur Übersetzung der Erklärung von 'The Pie' aus dem Englischen ins Deutsche. Der Bericht richtet sich an ein allgemeines Publikum und untersucht die verschiedenen Bedeutungen des Begriffs 'the pie'. - -Der Bericht gliedert sich in drei Hauptthemen: - -1. **Wörtliche Bedeutung von 'the pie':** Der Begriff 'the pie' wird im Englischen häufig als Synonym für einen Kuchen oder eine Torte verwendet. Diese Bedeutung ist in vielen Kulturen bekannt und wird in der deutschen Übersetzung als 'der Kuchen' oder 'die Torte' wiedergegeben. - -2. **Metaphorische Bedeutung von 'the pie':** Im übertragenen Sinne wird 'the pie' oft verwendet, um einen Anteil an einem Ganzen zu beschreiben, insbesondere in wirtschaftlichen oder finanziellen Kontexten. In der deutschen Sprache wird dies häufig mit dem Ausdruck 'das Stück vom Kuchen' übersetzt, um den Anteil an Ressourcen oder Gewinnen zu verdeutlichen. - -3. **Idiomatismen im Zusammenhang mit 'the pie':** Der Bericht beleuchtet auch idiomatische Ausdrücke, die 'the pie' beinhalten, wie z.B. "to have a finger in every pie", was im Deutschen als "überall seine Finger im Spiel haben" übersetzt wird. Solche Redewendungen sind kulturell spezifisch und erfordern eine sorgfältige Übersetzung, um die beabsichtigte Bedeutung zu bewahren. - -Schlussfolgerungen und Empfehlungen des Berichts betonen die Bedeutung einer präzisen und kontextsensitiven Übersetzung, um Missverständnisse zu vermeiden und die kulturellen Nuancen beizubehalten. Es wird empfohlen, bei der Übersetzung von idiomatischen Ausdrücken auf etablierte deutsche Redewendungen zurückzugreifen, um die Verständlichkeit und Relevanz für das Zielpublikum zu gewährleisten. - -Dieser Bericht bietet wertvolle Einblicke für alle, die sich mit der Übersetzung und Interpretation von Sprachbildern beschäftigen, und unterstreicht die Herausforderungen und Möglichkeiten, die mit der Übertragung von Bedeutungen zwischen verschiedenen Sprachen verbunden sind. - -Einführung in den Bericht: Übersetzung der Erklärung von 'The Pie' - -Zweck und Umfang des Dokuments: -Dieser Bericht zielt darauf ab, die Erklärung des Begriffs 'The Pie' aus dem Englischen ins Deutsche zu übersetzen und dabei sowohl die wörtliche als auch die metaphorische Bedeutung zu beleuchten. Der Bericht richtet sich an ein allgemeines Publikum und bietet eine umfassende Analyse der verschiedenen Bedeutungen und Verwendungen des Begriffs 'The Pie'. - -Hintergrundinformationen: -Der Begriff 'The Pie' ist in der englischen Sprache weit verbreitet und wird in verschiedenen Kontexten verwendet. Neben seiner wörtlichen Bedeutung als Gebäckstück hat 'The Pie' auch metaphorische und idiomatische Bedeutungen, die in der Alltagssprache häufig vorkommen. Diese unterschiedlichen Bedeutungen können in der Übersetzung Herausforderungen darstellen, die in diesem Bericht adressiert werden. - -Inhalt des Dokuments: -Der Bericht gliedert sich in drei Hauptabschnitte. Zunächst wird die wörtliche Bedeutung von 'The Pie' untersucht, gefolgt von einer Analyse der metaphorischen Bedeutungen, die der Begriff in verschiedenen kulturellen und sozialen Kontexten annehmen kann. Abschließend werden idiomatische Ausdrücke, die 'The Pie' beinhalten, vorgestellt und ihre Übersetzungen ins Deutsche diskutiert. - -Ton und Stil: -Der Bericht ist formell gehalten, um die Professionalität und Genauigkeit der Übersetzungen zu gewährleisten. Gleichzeitig wird darauf geachtet, dass die Informationen für ein breites Publikum zugänglich und verständlich sind. Ziel ist es, den Leser sowohl zu informieren als auch zu interessieren, indem die Vielschichtigkeit des Begriffs 'The Pie' auf anschauliche Weise dargestellt wird. - -Introduction to 'The Pie' -------------------------- - -Title: Introduction to 'The Pie' - -In diesem Abschnitt des Berichts "Übersetzung der Erklärung von 'The Pie'" wird eine umfassende Einführung in die Bedeutung des Begriffs "The Pie" gegeben. Diese Einführung gliedert sich in zwei Hauptunterabschnitte: die wörtliche und die metaphorische Bedeutung. Ziel ist es, ein tiefes Verständnis für die verschiedenen Kontexte zu vermitteln, in denen dieser Begriff verwendet wird. - -Literal Meaning - -Wörtlich betrachtet bezieht sich "The Pie" auf ein gebackenes Gericht, das aus einer Teighülle besteht, die mit süßen oder herzhaften Zutaten gefüllt ist. Diese kulinarische Definition ist in vielen Kulturen verbreitet und variiert je nach regionalen Vorlieben und Traditionen. Ein klassisches Beispiel ist der Apfelkuchen, der in vielen westlichen Ländern als Dessert beliebt ist. Ebenso gibt es herzhafte Varianten wie den Fleischkuchen, der oft als Hauptgericht serviert wird. Die Vielfalt der Füllungen und die Kunst der Zubereitung machen "The Pie" zu einem vielseitigen und geschätzten Bestandteil der internationalen Küche. - -Metaphorical Meaning - -Metaphorisch gesehen steht "The Pie" für eine begrenzte Ressource oder Gelegenheit, die unter verschiedenen Parteien aufgeteilt werden kann. Diese Bedeutung wird häufig in wirtschaftlichen und sozialen Kontexten verwendet, um die Verteilung von Wohlstand, Macht oder anderen wertvollen Ressourcen zu beschreiben. Ein gängiger Ausdruck ist "ein Stück vom Kuchen abbekommen", was bedeutet, einen Anteil an etwas Wertvollem zu erhalten. Ein weiteres Beispiel ist der Ausdruck "den Kuchen vergrößern", der darauf abzielt, die Gesamtmenge der verfügbaren Ressourcen zu erhöhen, sodass alle Beteiligten profitieren können. Diese metaphorische Verwendung von "The Pie" verdeutlicht die Dynamik von Wettbewerb und Kooperation in verschiedenen Lebensbereichen. - -Zusammenfassend bietet die Einführung in "The Pie" sowohl eine detaillierte Betrachtung der wörtlichen als auch der metaphorischen Bedeutung. Diese duale Perspektive ermöglicht es, die Vielschichtigkeit des Begriffs zu verstehen und seine Anwendung in unterschiedlichen Kontexten zu erkennen. - -Literal Meaning of 'The Pie' ----------------------------- - -Title: Wörtliche Bedeutung von 'The Pie' - -Einleitung: -In diesem Abschnitt wird die wörtliche Bedeutung des Begriffs "The Pie" untersucht. Der Fokus liegt auf der Definition eines Kuchens und den gängigen Arten von Kuchen, die in verschiedenen Kulturen und Küchen zu finden sind. - -Definition eines Kuchens: -Ein Kuchen ist ein gebackenes Gericht, das aus einer Teigkruste besteht, die mit süßen oder herzhaften Zutaten gefüllt ist. Die Kruste kann aus verschiedenen Arten von Teig bestehen, wie Mürbeteig, Blätterteig oder Hefeteig. Die Füllungen variieren je nach Rezept und können Früchte, Fleisch, Gemüse, Käse oder eine Kombination dieser Zutaten enthalten. Der Kuchen wird in der Regel in einem Ofen gebacken, bis die Kruste goldbraun und die Füllung durchgegart ist. - -Gängige Arten von Kuchen: -1. **Süße Kuchen**: - - **Apfelkuchen**: Ein klassischer süßer Kuchen, der mit einer Füllung aus geschnittenen Äpfeln, Zucker und Gewürzen wie Zimt gefüllt ist. - - **Schokoladenkuchen**: Ein reichhaltiger Kuchen, oft mit einer Füllung aus Schokolade oder Schokoladencreme. - - **Zitronen-Baiser-Kuchen**: Ein Kuchen mit einer Zitronencremefüllung, bedeckt mit einer leichten Baiserhaube. - -2. **Herzhafte Kuchen**: - - **Quiche**: Ein französischer herzhafter Kuchen, der aus einer Eier-Sahne-Füllung besteht, oft mit Speck, Käse und Gemüse. - - **Fleischpastete**: Ein herzhafter Kuchen, gefüllt mit gewürztem Fleisch, oft Rind oder Lamm, und Gemüse. - - **Gemüsekuchen**: Ein Kuchen, der mit einer Mischung aus verschiedenen Gemüsesorten gefüllt ist, manchmal mit Käse oder einer Sahnesoße. - -Schlussfolgerung: -Die wörtliche Bedeutung von "The Pie" umfasst eine Vielzahl von Gerichten, die in der kulinarischen Welt weit verbreitet sind. Ob süß oder herzhaft, Kuchen bieten eine Vielfalt an Geschmacksrichtungen und Texturen, die sie zu einem beliebten Gericht in vielen Kulturen machen. - -Metaphorical Meaning of 'The Pie' ---------------------------------- - -Title: Metaphorische Bedeutung von 'The Pie' - -In diesem Abschnitt des Berichts "Translation of 'The Pie' Explanation" wird die metaphorische Bedeutung des Begriffs 'The Pie' untersucht. Der Begriff 'The Pie' wird häufig in idiomatischen Ausdrücken verwendet, um Konzepte wie Ressourcenverteilung und Wachstum zu veranschaulichen. Diese Ausdrücke sind tief in der englischen Sprache verwurzelt und haben auch in der deutschen Sprache ihre Entsprechungen gefunden. Im Folgenden werden die wichtigsten idiomatischen Ausdrücke im Detail erläutert. - -**Idiomatic Expressions** - -1. **Ein Stück vom Kuchen (A piece of the pie)** - - Erklärung: Der Ausdruck "ein Stück vom Kuchen" bezieht sich auf das Erlangen eines Anteils an etwas Wertvollem oder Begehrenswertem. In wirtschaftlichen oder geschäftlichen Kontexten bedeutet dies oft, dass eine Person oder Gruppe einen Teil der verfügbaren Ressourcen oder Gewinne beansprucht. - - Beispiel: In einem Unternehmen könnte ein Mitarbeiter, der eine Gehaltserhöhung fordert, als jemand angesehen werden, der "ein größeres Stück vom Kuchen" möchte. - -2. **Den Kuchen vergrößern (Growing the pie)** - - Erklärung: Der Ausdruck "den Kuchen vergrößern" beschreibt die Idee, das Gesamtvolumen der verfügbaren Ressourcen oder Möglichkeiten zu erhöhen, anstatt sich nur auf die Verteilung der bestehenden Ressourcen zu konzentrieren. Dies ist ein Konzept, das oft in wirtschaftlichen Diskussionen über Wachstum und Expansion verwendet wird. - - Beispiel: Eine Regierung könnte durch Investitionen in Bildung und Infrastruktur versuchen, "den Kuchen zu vergrößern", um langfristig mehr Wohlstand für alle Bürger zu schaffen. - -3. **Den Kuchen schneiden (Cutting the pie)** - - Erklärung: "Den Kuchen schneiden" bezieht sich auf die Art und Weise, wie vorhandene Ressourcen oder Möglichkeiten unter verschiedenen Parteien aufgeteilt werden. Dies kann sowohl in positiven als auch in negativen Kontexten verwendet werden, je nachdem, wie gerecht oder ungerecht die Verteilung wahrgenommen wird. - - Beispiel: Bei der Budgetplanung einer Organisation wird oft diskutiert, wie "der Kuchen geschnitten" werden sollte, um die verschiedenen Abteilungen angemessen zu finanzieren. - -Diese idiomatischen Ausdrücke veranschaulichen, wie der Begriff 'The Pie' über seine wörtliche Bedeutung hinausgeht und in verschiedenen Kontexten verwendet wird, um komplexe wirtschaftliche und soziale Konzepte zu verdeutlichen. Sie sind ein integraler Bestandteil der Sprache und bieten wertvolle Einblicke in die Denkweise über Ressourcen und deren Verteilung. - -CONCLUSION ----------- - -Abschlussbericht: Übersetzung der Erklärung von 'The Pie' - -In diesem Bericht haben wir die verschiedenen Bedeutungen des Begriffs 'the pie' untersucht und seine Übersetzung ins Deutsche analysiert. Zunächst wurde der wörtliche Sinn von 'the pie' betrachtet, der sich auf ein gebackenes Gericht bezieht, das in vielen Kulturen beliebt ist. Diese grundlegende Bedeutung bildet die Grundlage für ein tieferes Verständnis der metaphorischen und idiomatischen Verwendungen des Begriffs. - -Im weiteren Verlauf des Berichts wurde die metaphorische Bedeutung von 'the pie' erörtert, die oft im wirtschaftlichen oder sozialen Kontext verwendet wird, um Ressourcen oder Chancen zu symbolisieren, die unter verschiedenen Parteien aufgeteilt werden können. Diese Metapher ist besonders relevant in Diskussionen über Gerechtigkeit und Verteilung. - -Darüber hinaus wurden idiomatische Ausdrücke, die 'the pie' beinhalten, analysiert. Diese Redewendungen, wie zum Beispiel "to have a finger in every pie", verdeutlichen die Vielseitigkeit und den kulturellen Reichtum, den solche Ausdrücke in der englischen Sprache bieten. - -Zusammenfassend lässt sich sagen, dass die Übersetzung von 'the pie' ins Deutsche nicht nur eine sprachliche, sondern auch eine kulturelle Herausforderung darstellt. Es ist wichtig, sowohl die wörtliche als auch die übertragene Bedeutung zu berücksichtigen, um eine präzise und kontextgerechte Übersetzung zu gewährleisten. - -Als Empfehlung für zukünftige Arbeiten sollte eine detaillierte Untersuchung der kulturellen Konnotationen und der Verwendung von 'the pie' in verschiedenen Kontexten erfolgen, um ein noch tieferes Verständnis zu erlangen. Zudem könnte die Erstellung eines Glossars mit häufig verwendeten idiomatischen Ausdrücken und deren Übersetzungen hilfreich sein. - -Dieser Bericht unterstreicht die Bedeutung der Sprach- und Kulturkompetenz bei der Übersetzung und bietet wertvolle Einblicke für Übersetzer und Sprachinteressierte. diff --git a/static/92_generated_code.py b/static/92_generated_code.py deleted file mode 100644 index 74a181ca..00000000 --- a/static/92_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(count): - primes = [] - num = 2 - while len(primes) < count: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(99) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/93_execution_history.json b/static/93_execution_history.json deleted file mode 100644 index 353214ee..00000000 --- a/static/93_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(count):\n primes = []\n num = 2\n while len(primes) < count:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(99)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\\n397\\n401\\n409\\n419\\n421\\n431\\n433\\n439\\n443\\n449\\n457\\n461\\n463\\n467\\n479\\n487\\n491\\n499\\n503\\n509\\n521\\n523\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "prime_numbers.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389\n397\n401\n409\n419\n421\n431\n433\n439\n443\n449\n457\n461\n463\n467\n479\n487\n491\n499\n503\n509\n521\n523", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file diff --git a/static/94_prime_numbers.txt b/static/94_prime_numbers.txt deleted file mode 100644 index b8a245de..00000000 --- a/static/94_prime_numbers.txt +++ /dev/null @@ -1,99 +0,0 @@ -2 -3 -5 -7 -11 -13 -17 -19 -23 -29 -31 -37 -41 -43 -47 -53 -59 -61 -67 -71 -73 -79 -83 -89 -97 -101 -103 -107 -109 -113 -127 -131 -137 -139 -149 -151 -157 -163 -167 -173 -179 -181 -191 -193 -197 -199 -211 -223 -227 -229 -233 -239 -241 -251 -257 -263 -269 -271 -277 -281 -283 -293 -307 -311 -313 -317 -331 -337 -347 -349 -353 -359 -367 -373 -379 -383 -389 -397 -401 -409 -419 -421 -431 -433 -439 -443 -449 -457 -461 -463 -467 -479 -487 -491 -499 -503 -509 -521 -523 \ No newline at end of file diff --git a/static/95_generated_code.py b/static/95_generated_code.py deleted file mode 100644 index 3b2db9ae..00000000 --- a/static/95_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_primes(limit): - primes = [] - num = 2 - while len(primes) < limit: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -primes = generate_primes(1000) -prime_numbers_content = "\n".join(map(str, primes)) - -result = { - "prime_numbers.txt": { - "content": prime_numbers_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/96_execution_history.json b/static/96_execution_history.json deleted file mode 100644 index 7ee8aa63..00000000 --- a/static/96_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_primes(limit):\n primes = []\n num = 2\n while len(primes) < limit:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nprimes = generate_primes(1000)\nprime_numbers_content = \"\\n\".join(map(str, primes))\n\nresult = {\n \"prime_numbers.txt\": {\n \"content\": prime_numbers_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"prime_numbers.txt\": {\"content\": 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-7717 -7723 -7727 -7741 -7753 -7757 -7759 -7789 -7793 -7817 -7823 -7829 -7841 -7853 -7867 -7873 -7877 -7879 -7883 -7901 -7907 -7919 \ No newline at end of file diff --git a/static/98_generated_code.py b/static/98_generated_code.py deleted file mode 100644 index 40dd57f0..00000000 --- a/static/98_generated_code.py +++ /dev/null @@ -1,38 +0,0 @@ -inputFiles = [] # DO NOT CHANGE THIS LINE - -def is_prime(n): - if n <= 1: - return False - if n <= 3: - return True - if n % 2 == 0 or n % 3 == 0: - return False - i = 5 - while i * i <= n: - if n % i == 0 or n % (i + 2) == 0: - return False - i += 6 - return True - -def generate_first_n_primes(n): - primes = [] - num = 2 - while len(primes) < n: - if is_prime(num): - primes.append(num) - num += 1 - return primes - -first_77_primes = generate_first_n_primes(77) -primes_content = "\n".join(map(str, first_77_primes)) - -result = { - "first_77_primes.txt": { - "content": primes_content, - "base64Encoded": False, - "contentType": "text/plain" - } -} - -import json -print(json.dumps(result)) \ No newline at end of file diff --git a/static/99_execution_history.json b/static/99_execution_history.json deleted file mode 100644 index 59f4e2d1..00000000 --- a/static/99_execution_history.json +++ /dev/null @@ -1,19 +0,0 @@ -[ - { - "attempt": 1, - "code": "inputFiles = [] # DO NOT CHANGE THIS LINE\n\ndef is_prime(n):\n if n <= 1:\n return False\n if n <= 3:\n return True\n if n % 2 == 0 or n % 3 == 0:\n return False\n i = 5\n while i * i <= n:\n if n % i == 0 or n % (i + 2) == 0:\n return False\n i += 6\n return True\n\ndef generate_first_n_primes(n):\n primes = []\n num = 2\n while len(primes) < n:\n if is_prime(num):\n primes.append(num)\n num += 1\n return primes\n\nfirst_77_primes = generate_first_n_primes(77)\nprimes_content = \"\\n\".join(map(str, first_77_primes))\n\nresult = {\n \"first_77_primes.txt\": {\n \"content\": primes_content,\n \"base64Encoded\": False,\n \"contentType\": \"text/plain\"\n }\n}\n\nimport json\nprint(json.dumps(result))", - "result": { - "success": true, - "output": "{\"first_77_primes.txt\": {\"content\": \"2\\n3\\n5\\n7\\n11\\n13\\n17\\n19\\n23\\n29\\n31\\n37\\n41\\n43\\n47\\n53\\n59\\n61\\n67\\n71\\n73\\n79\\n83\\n89\\n97\\n101\\n103\\n107\\n109\\n113\\n127\\n131\\n137\\n139\\n149\\n151\\n157\\n163\\n167\\n173\\n179\\n181\\n191\\n193\\n197\\n199\\n211\\n223\\n227\\n229\\n233\\n239\\n241\\n251\\n257\\n263\\n269\\n271\\n277\\n281\\n283\\n293\\n307\\n311\\n313\\n317\\n331\\n337\\n347\\n349\\n353\\n359\\n367\\n373\\n379\\n383\\n389\", \"base64Encoded\": false, \"contentType\": \"text/plain\"}}\n", - "error": "", - "result": { - "first_77_primes.txt": { - "content": "2\n3\n5\n7\n11\n13\n17\n19\n23\n29\n31\n37\n41\n43\n47\n53\n59\n61\n67\n71\n73\n79\n83\n89\n97\n101\n103\n107\n109\n113\n127\n131\n137\n139\n149\n151\n157\n163\n167\n173\n179\n181\n191\n193\n197\n199\n211\n223\n227\n229\n233\n239\n241\n251\n257\n263\n269\n271\n277\n281\n283\n293\n307\n311\n313\n317\n331\n337\n347\n349\n353\n359\n367\n373\n379\n383\n389", - "base64Encoded": false, - "contentType": "text/plain" - } - }, - "exitCode": 0 - } - } -] \ No newline at end of file