fixed handovers from generator to renderers

modules/aicore/aicorePluginOpenai.py

@@ -354,10 +354,11 @@ class AiOpenai(BaseConnectorAi):
             
             if response.status_code != 200:
                 logger.error(f"DALL-E API error: {response.status_code} - {response.text}")
-                return {
+                return AiModelResponse(
-                    "success": False,
+                    content="",
-                    "error": f"DALL-E API error: {response.status_code} - {response.text}"
+                    success=False,
-                }
+                    error=f"DALL-E API error: {response.status_code} - {response.text}"
+                )
             
             responseJson = response.json()
             

modules/datamodels/datamodelDocument.py

@@ -13,6 +13,8 @@ class DocumentMetadata(BaseModel):
     sourceDocuments: List[str] = Field(default_factory=list, description="Source document IDs")
     extractionMethod: str = Field(default="ai_extraction", description="Method used for extraction")
     version: str = Field(default="1.0", description="Document version")
+    documentType: Optional[str] = Field(default=None, description="Type of document (e.g., 'report', 'invoice', 'analysis')")
+    styles: Optional[Dict[str, Any]] = Field(default=None, description="Document styling configuration")
 
 
 class TableData(BaseModel):
@@ -112,6 +114,8 @@ class RenderedDocument(BaseModel):
     documentData: bytes = Field(description="Document content as bytes")
     mimeType: str = Field(description="MIME type of the document (e.g., 'text/html', 'application/pdf')")
     filename: str = Field(description="Filename for the document (e.g., 'report.html', 'image.png')")
+    documentType: Optional[str] = Field(default=None, description="Type of document (e.g., 'report', 'invoice', 'analysis')")
+    metadata: Optional[Dict[str, Any]] = Field(default=None, description="Document metadata (title, author, etc.)")
     
     class Config:
         json_encoders = {

modules/services/serviceAi/subStructureFilling.py

@@ -52,7 +52,7 @@ class StructureFiller:
         # Erstelle Operation-ID für Struktur-Abfüllen
         fillOperationId = f"{parentOperationId}_structure_filling"
         
-        # Prüfe ob Struktur Chapters oder Sections hat
+        # Validate structure has chapters
         hasChapters = False
         for doc in structure.get("documents", []):
             if "chapters" in doc:
@@ -60,9 +60,9 @@ class StructureFiller:
                 break
         
         if not hasChapters:
-            # Fallback: Alte Struktur mit Sections direkt - verwende alte Logik
+            error_msg = "Structure must have chapters. Legacy section-based structure is not supported."
-            logger.warning("Structure has no chapters, using legacy section-based filling")
+            logger.error(error_msg)
-            return await self._fillStructureLegacy(structure, contentParts, userPrompt, fillOperationId)
+            raise ValueError(error_msg)
         
         # Starte ChatLog mit Parent-Referenz
         chapterCount = sum(len(doc.get("chapters", [])) for doc in structure.get("documents", []))
@@ -214,10 +214,11 @@ class StructureFiller:
             contentType = section.get("content_type", "paragraph")
             useAiCall = section.get("useAiCall", False)
             
-            # WICHTIG: Wenn keine ContentParts vorhanden sind, kann kein AI-Call gemacht werden
+            # WICHTIG: Wenn keine ContentParts vorhanden sind UND kein generationHint, kann kein AI-Call gemacht werden
-            if len(contentPartIds) == 0:
+            # Aber: Wenn generationHint vorhanden ist, kann AI auch ohne ContentParts generieren (z.B. Executive Summary)
+            if len(contentPartIds) == 0 and not generationHint:
                 useAiCall = False
-                logger.debug(f"Section {sectionId}: No content parts, setting useAiCall=False")
+                logger.debug(f"Section {sectionId}: No content parts and no generation hint, setting useAiCall=False")
             
             elements = []
             
@@ -259,11 +260,24 @@ class StructureFiller:
                                     "label": part.metadata.get("usageHint", part.label)
                                 })
                             elif contentFormat == "object":
+                                # Nested content structure for objects
+                                if part.typeGroup == "image":
+                                    elements.append({
+                                        "type": "image",
+                                        "content": {
+                                            "base64Data": part.data,
+                                            "altText": part.metadata.get("usageHint", part.label),
+                                            "caption": part.metadata.get("caption", "")
+                                        }
+                                    })
+                                else:
                                     elements.append({
                                         "type": part.typeGroup,
-                                    "base64Data": part.data,
+                                        "content": {
+                                            "data": part.data,
                                             "mimeType": part.mimeType,
-                                    "altText": part.metadata.get("usageHint", part.label)
+                                            "label": part.metadata.get("usageHint", part.label)
+                                        }
                                     })
                         
                         # Aggregiere extracted Parts mit AI
@@ -300,11 +314,24 @@ class StructureFiller:
                                 logger.debug(f"Logged section prompt: section_content_{sectionId}_prompt (aggregation)")
                                 
                                 # Verwende callAi für ContentParts-Unterstützung (nicht callAiPlanning!)
+                                # Use IMAGE_GENERATE for image content type
+                                operationType = OperationTypeEnum.IMAGE_GENERATE if contentType == "image" else OperationTypeEnum.DATA_ANALYSE
+                                
+                                # For IMAGE_GENERATE, truncate prompt to 4000 chars (DALL-E limit)
+                                if operationType == OperationTypeEnum.IMAGE_GENERATE:
+                                    maxPromptLength = 4000
+                                    if len(generationPrompt) > maxPromptLength:
+                                        logger.warning(f"Truncating DALL-E prompt from {len(generationPrompt)} to {maxPromptLength} characters")
+                                        # Keep the beginning (task, metadata, generation hint) and truncate from end
+                                        generationPrompt = generationPrompt[:maxPromptLength].rsplit('\n', 1)[0]  # Truncate at last newline
+                                
+                                # For IMAGE_GENERATE, don't pass contentParts - image generation uses prompt only, not content chunks
+                                contentPartsForCall = [] if operationType == OperationTypeEnum.IMAGE_GENERATE else extractedParts
                                 request = AiCallRequest(
                                     prompt=generationPrompt,
-                                    contentParts=extractedParts,  # ALLE PARTS!
+                                    contentParts=contentPartsForCall,  # Empty for IMAGE_GENERATE, all parts for others
                                     options=AiCallOptions(
-                                        operationType=OperationTypeEnum.DATA_ANALYSE,
+                                        operationType=operationType,
                                         priority=PriorityEnum.BALANCED,
                                         processingMode=ProcessingModeEnum.DETAILED
                                     )
@@ -318,7 +345,32 @@ class StructureFiller:
                                 )
                                 logger.debug(f"Logged section response: section_content_{sectionId}_response (aggregation)")
                                 
-                                # Parse und füge zu elements hinzu
+                                # Handle IMAGE_GENERATE differently - returns image data directly
+                                if contentType == "image" and operationType == OperationTypeEnum.IMAGE_GENERATE:
+                                    import base64
+                                    # Convert image data to base64 string if needed
+                                    if isinstance(aiResponse.content, bytes):
+                                        base64Data = base64.b64encode(aiResponse.content).decode('utf-8')
+                                    elif isinstance(aiResponse.content, str):
+                                        # Already base64 string or data URI
+                                        if aiResponse.content.startswith("data:image/"):
+                                            # Extract base64 from data URI
+                                            base64Data = aiResponse.content.split(",", 1)[1]
+                                        else:
+                                            base64Data = aiResponse.content
+                                    else:
+                                        base64Data = ""
+                                    
+                                    elements.append({
+                                        "type": "image",
+                                        "content": {
+                                            "base64Data": base64Data,
+                                            "altText": generationHint or "Generated image",
+                                            "caption": ""
+                                        }
+                                    })
+                                else:
+                                    # Parse JSON response for other content types
                                     generatedElements = json.loads(
                                         self.services.utils.jsonExtractString(aiResponse.content)
                                     )
@@ -342,6 +394,117 @@ class StructureFiller:
                                 # NICHT raise - Section wird mit Fehlermeldung gerendert
             
             else:
+                    # Einzelverarbeitung: Jeder Part einzeln ODER Generation ohne ContentParts
+                    # Handle case where no content parts but generationHint exists (e.g., Executive Summary)
+                    if len(contentPartIds) == 0 and useAiCall and generationHint:
+                        # Generate content from scratch using only generationHint
+                        logger.debug(f"Processing section {sectionId}: No content parts, generating from generationHint only")
+                        generationPrompt = self._buildSectionGenerationPrompt(
+                            section=section,
+                            contentParts=[],  # NO PARTS
+                            userPrompt=userPrompt,
+                            generationHint=generationHint,
+                            allSections=all_sections_list,
+                            sectionIndex=sectionIndex,
+                            isAggregation=False
+                        )
+                        
+                        # Erstelle Operation-ID für Section-Generierung
+                        sectionOperationId = f"{fillOperationId}_section_{sectionId}"
+                        
+                        # Starte ChatLog mit Parent-Referenz
+                        self.services.chat.progressLogStart(
+                            sectionOperationId,
+                            "Section Generation",
+                            "Section",
+                            f"Generating section {sectionId} from generationHint",
+                            parentOperationId=fillOperationId
+                        )
+                        
+                        try:
+                            # Debug: Log Prompt
+                            self.services.utils.writeDebugFile(
+                                generationPrompt,
+                                f"section_content_{sectionId}_prompt"
+                            )
+                            logger.debug(f"Logged section prompt: section_content_{sectionId}_prompt")
+                            
+                            # Verwende callAi ohne ContentParts
+                            operationType = OperationTypeEnum.IMAGE_GENERATE if contentType == "image" else OperationTypeEnum.DATA_ANALYSE
+                            
+                            # For IMAGE_GENERATE, truncate prompt to 4000 chars (DALL-E limit)
+                            if operationType == OperationTypeEnum.IMAGE_GENERATE:
+                                maxPromptLength = 4000
+                                if len(generationPrompt) > maxPromptLength:
+                                    logger.warning(f"Truncating DALL-E prompt from {len(generationPrompt)} to {maxPromptLength} characters")
+                                    # Keep the beginning (task, metadata, generation hint) and truncate from end
+                                    generationPrompt = generationPrompt[:maxPromptLength].rsplit('\n', 1)[0]  # Truncate at last newline
+                            
+                            request = AiCallRequest(
+                                prompt=generationPrompt,
+                                contentParts=[],  # NO PARTS
+                                options=AiCallOptions(
+                                    operationType=operationType,
+                                    priority=PriorityEnum.BALANCED,
+                                    processingMode=ProcessingModeEnum.DETAILED
+                                )
+                            )
+                            aiResponse = await self.aiService.callAi(request)
+                            
+                            # Debug: Log Response
+                            self.services.utils.writeDebugFile(
+                                aiResponse.content,
+                                f"section_content_{sectionId}_response"
+                            )
+                            logger.debug(f"Logged section response: section_content_{sectionId}_response")
+                            
+                            # Handle IMAGE_GENERATE differently - returns image data directly
+                            if contentType == "image" and operationType == OperationTypeEnum.IMAGE_GENERATE:
+                                import base64
+                                # Convert image data to base64 string if needed
+                                if isinstance(aiResponse.content, bytes):
+                                    base64Data = base64.b64encode(aiResponse.content).decode('utf-8')
+                                elif isinstance(aiResponse.content, str):
+                                    # Already base64 string or data URI
+                                    if aiResponse.content.startswith("data:image/"):
+                                        # Extract base64 from data URI
+                                        base64Data = aiResponse.content.split(",", 1)[1]
+                                    else:
+                                        base64Data = aiResponse.content
+                                else:
+                                    base64Data = ""
+                                
+                                elements.append({
+                                    "type": "image",
+                                    "content": {
+                                        "base64Data": base64Data,
+                                        "altText": generationHint or "Generated image",
+                                        "caption": ""
+                                    }
+                                })
+                            else:
+                                # Parse JSON response for other content types
+                                generatedElements = json.loads(
+                                    self.services.utils.jsonExtractString(aiResponse.content)
+                                )
+                                if isinstance(generatedElements, list):
+                                    elements.extend(generatedElements)
+                                elif isinstance(generatedElements, dict) and "elements" in generatedElements:
+                                    elements.extend(generatedElements["elements"])
+                            
+                            # ChatLog abschließen
+                            self.services.chat.progressLogFinish(sectionOperationId, True)
+                        
+                        except Exception as e:
+                            # Fehlerhafte Section mit Fehlermeldung rendern (kein Abbruch!)
+                            self.services.chat.progressLogFinish(sectionOperationId, False)
+                            elements.append({
+                                "type": "error",
+                                "message": f"Error generating section {sectionId}: {str(e)}",
+                                "sectionId": sectionId
+                            })
+                            logger.error(f"Error generating section {sectionId}: {str(e)}")
+                    
                     # Einzelverarbeitung: Jeder Part einzeln
                     for partId in contentPartIds:
                         part = self._findContentPartById(partId, contentParts)
@@ -359,12 +522,25 @@ class StructureFiller:
                             })
                         
                         elif contentFormat == "object":
-                            # Füge base64 Object hinzu
+                            # Füge base64 Object hinzu (nested in content structure)
+                            if part.typeGroup == "image":
                                 elements.append({
-                                "type": part.typeGroup,  # "image", "binary", etc.
+                                    "type": "image",
+                                    "content": {
                                         "base64Data": part.data,
+                                        "altText": part.metadata.get("usageHint", part.label),
+                                        "caption": part.metadata.get("caption", "")
+                                    }
+                                })
+                            else:
+                                # For other object types, use generic structure
+                                elements.append({
+                                    "type": part.typeGroup,
+                                    "content": {
+                                        "data": part.data,
                                         "mimeType": part.mimeType,
-                                "altText": part.metadata.get("usageHint", part.label)
+                                        "label": part.metadata.get("usageHint", part.label)
+                                    }
                                 })
                         
                         elif contentFormat == "extracted":
@@ -403,11 +579,24 @@ class StructureFiller:
                                     logger.debug(f"Logged section prompt: section_content_{sectionId}_prompt")
                                     
                                     # Verwende callAi für ContentParts-Unterstützung
+                                    # Use IMAGE_GENERATE for image content type
+                                    operationType = OperationTypeEnum.IMAGE_GENERATE if contentType == "image" else OperationTypeEnum.DATA_ANALYSE
+                                    
+                                    # For IMAGE_GENERATE, truncate prompt to 4000 chars (DALL-E limit)
+                                    if operationType == OperationTypeEnum.IMAGE_GENERATE:
+                                        maxPromptLength = 4000
+                                        if len(generationPrompt) > maxPromptLength:
+                                            logger.warning(f"Truncating DALL-E prompt from {len(generationPrompt)} to {maxPromptLength} characters")
+                                            # Keep the beginning (task, metadata, generation hint) and truncate from end
+                                            generationPrompt = generationPrompt[:maxPromptLength].rsplit('\n', 1)[0]  # Truncate at last newline
+                                    
+                                    # For IMAGE_GENERATE, don't pass contentParts - image generation uses prompt only, not content chunks
+                                    contentPartsForCall = [] if operationType == OperationTypeEnum.IMAGE_GENERATE else [part]
                                     request = AiCallRequest(
                                         prompt=generationPrompt,
-                                        contentParts=[part],
+                                        contentParts=contentPartsForCall,
                                         options=AiCallOptions(
-                                            operationType=OperationTypeEnum.DATA_ANALYSE,
+                                            operationType=operationType,
                                             priority=PriorityEnum.BALANCED,
                                             processingMode=ProcessingModeEnum.DETAILED
                                         )
@@ -421,7 +610,32 @@ class StructureFiller:
                                     )
                                     logger.debug(f"Logged section response: section_content_{sectionId}_response")
                                     
-                                    # Parse und füge zu elements hinzu
+                                    # Handle IMAGE_GENERATE differently - returns image data directly
+                                    if contentType == "image" and operationType == OperationTypeEnum.IMAGE_GENERATE:
+                                        import base64
+                                        # Convert image data to base64 string if needed
+                                        if isinstance(aiResponse.content, bytes):
+                                            base64Data = base64.b64encode(aiResponse.content).decode('utf-8')
+                                        elif isinstance(aiResponse.content, str):
+                                            # Already base64 string or data URI
+                                            if aiResponse.content.startswith("data:image/"):
+                                                # Extract base64 from data URI
+                                                base64Data = aiResponse.content.split(",", 1)[1]
+                                            else:
+                                                base64Data = aiResponse.content
+                                        else:
+                                            base64Data = ""
+                                        
+                                        elements.append({
+                                            "type": "image",
+                                            "content": {
+                                                "base64Data": base64Data,
+                                                "altText": generationHint or "Generated image",
+                                                "caption": ""
+                                            }
+                                        })
+                                    else:
+                                        # Parse JSON response for other content types
                                         generatedElements = json.loads(
                                             self.services.utils.jsonExtractString(aiResponse.content)
                                         )
@@ -502,16 +716,6 @@ class StructureFiller:
                                 if partId in contentPartsMap:
                                     section["contentPartsMetadata"].append(contentPartsMap[partId])
             
-            # Prüfe ob Sections direkt vorhanden sind (Legacy-Struktur)
-            elif "sections" in doc:
-                for section in doc.get("sections", []):
-                    contentPartIds = section.get("contentPartIds", [])
-                    if contentPartIds:
-                        section["contentPartsMetadata"] = []
-                        for partId in contentPartIds:
-                            if partId in contentPartsMap:
-                                section["contentPartsMetadata"].append(contentPartsMap[partId])
-        
         return structure
     
     def _flattenChaptersToSections(
@@ -542,8 +746,10 @@ class StructureFiller:
                     "content_type": "heading",
                     "elements": [{
                         "type": "heading",
-                        "content": chapter.get("title"),
+                        "content": {
+                            "text": chapter.get("title", ""),
                             "level": chapter.get("level", 1)
+                        }
                     }]
                 }
                 flattened_doc["sections"].append(heading_section)
@@ -555,276 +761,6 @@ class StructureFiller:
         
         return result
     
-    async def _fillStructureLegacy(
-        self,
-        structure: Dict[str, Any],
-        contentParts: List[ContentPart],
-        userPrompt: str,
-        fillOperationId: str
-    ) -> Dict[str, Any]:
-        """
-        Legacy: Füllt Struktur mit Sections direkt (für Rückwärtskompatibilität).
-        """
-        # Starte ChatLog
-        self.services.chat.progressLogStart(
-            fillOperationId,
-            "Structure Filling (Legacy)",
-            "Filling",
-            f"Filling {len(structure.get('documents', [{}])[0].get('sections', []))} sections",
-            parentOperationId=fillOperationId
-        )
-        
-        try:
-            filledStructure = copy.deepcopy(structure)
-            
-            # Sammle alle Sections
-            sections_to_process = []
-            all_sections_list = []
-            for doc in filledStructure.get("documents", []):
-                doc_sections = doc.get("sections", [])
-                all_sections_list.extend(doc_sections)
-                for section in doc_sections:
-                    sections_to_process.append((doc, section))
-            
-            # Verarbeite Sections (bestehende Logik)
-            for sectionIndex, (doc, section) in enumerate(sections_to_process):
-                sectionId = section.get("id")
-                contentPartIds = section.get("contentPartIds", [])
-                contentFormats = section.get("contentFormats", {})
-                # Check both camelCase and snake_case for generationHint
-                generationHint = section.get("generationHint") or section.get("generation_hint")
-                contentType = section.get("content_type", "paragraph")
-                useAiCall = section.get("useAiCall", False)
-                
-                # WICHTIG: Wenn keine ContentParts vorhanden sind, kann kein AI-Call gemacht werden
-                if len(contentPartIds) == 0:
-                    useAiCall = False
-                    logger.debug(f"Section {sectionId} (legacy): No content parts, setting useAiCall=False")
-                
-                elements = []
-                
-                # Prüfe ob Aggregation nötig ist
-                needsAggregation = self._needsAggregation(
-                    contentType=contentType,
-                    contentPartCount=len(contentPartIds)
-                )
-                
-                logger.info(f"Processing section {sectionId} (legacy): contentType={contentType}, contentPartCount={len(contentPartIds)}, useAiCall={useAiCall}, needsAggregation={needsAggregation}, hasGenerationHint={bool(generationHint)}")
-                
-                if needsAggregation and useAiCall and generationHint:
-                    # Aggregation: Alle Parts zusammen verarbeiten
-                    sectionParts = [
-                        self._findContentPartById(pid, contentParts)
-                        for pid in contentPartIds
-                    ]
-                    sectionParts = [p for p in sectionParts if p is not None]
-                    
-                    if sectionParts:
-                        # Filtere nur extracted Parts für Aggregation
-                        extractedParts = [
-                            p for p in sectionParts
-                            if contentFormats.get(p.id, p.metadata.get("contentFormat")) == "extracted"
-                        ]
-                        nonExtractedParts = [
-                            p for p in sectionParts
-                            if contentFormats.get(p.id, p.metadata.get("contentFormat")) != "extracted"
-                        ]
-                        
-                        # Verarbeite non-extracted Parts separat
-                        for part in nonExtractedParts:
-                            contentFormat = contentFormats.get(part.id, part.metadata.get("contentFormat"))
-                            
-                            if contentFormat == "reference":
-                                elements.append({
-                                    "type": "reference",
-                                    "documentReference": part.metadata.get("documentReference"),
-                                    "label": part.metadata.get("usageHint", part.label)
-                                })
-                            elif contentFormat == "object":
-                                elements.append({
-                                    "type": part.typeGroup,
-                                    "base64Data": part.data,
-                                    "mimeType": part.mimeType,
-                                    "altText": part.metadata.get("usageHint", part.label)
-                                })
-                        
-                        # Aggregiere extracted Parts mit AI
-                        if extractedParts:
-                            generationPrompt = self._buildSectionGenerationPrompt(
-                                section=section,
-                                contentParts=extractedParts,
-                                userPrompt=userPrompt,
-                                generationHint=generationHint,
-                                allSections=all_sections_list,
-                                sectionIndex=sectionIndex,
-                                isAggregation=True
-                            )
-                            
-                            sectionOperationId = f"{fillOperationId}_section_{sectionId}"
-                            
-                            self.services.chat.progressLogStart(
-                                sectionOperationId,
-                                "Section Generation (Aggregation)",
-                                "Section",
-                                f"Generating section {sectionId} with {len(extractedParts)} parts",
-                                parentOperationId=fillOperationId
-                            )
-                            
-                            try:
-                                self.services.utils.writeDebugFile(
-                                    generationPrompt,
-                                    f"section_content_{sectionId}_prompt"
-                                )
-                                
-                                request = AiCallRequest(
-                                    prompt=generationPrompt,
-                                    contentParts=extractedParts,
-                                    options=AiCallOptions(
-                                        operationType=OperationTypeEnum.DATA_ANALYSE,
-                                        priority=PriorityEnum.BALANCED,
-                                        processingMode=ProcessingModeEnum.DETAILED
-                                    )
-                                )
-                                aiResponse = await self.aiService.callAi(request)
-                                
-                                self.services.utils.writeDebugFile(
-                                    aiResponse.content,
-                                    f"section_content_{sectionId}_response"
-                                )
-                                
-                                generatedElements = json.loads(
-                                    self.services.utils.jsonExtractString(aiResponse.content)
-                                )
-                                if isinstance(generatedElements, list):
-                                    elements.extend(generatedElements)
-                                elif isinstance(generatedElements, dict) and "elements" in generatedElements:
-                                    elements.extend(generatedElements["elements"])
-                                
-                                self.services.chat.progressLogFinish(sectionOperationId, True)
-                            
-                            except Exception as e:
-                                self.services.chat.progressLogFinish(sectionOperationId, False)
-                                elements.append({
-                                    "type": "error",
-                                    "message": f"Error generating section {sectionId}: {str(e)}",
-                                    "sectionId": sectionId
-                                })
-                                logger.error(f"Error generating section {sectionId}: {str(e)}")
-                
-                else:
-                    # Einzelverarbeitung: Jeder Part einzeln
-                    for partId in contentPartIds:
-                        part = self._findContentPartById(partId, contentParts)
-                        if not part:
-                            continue
-                        
-                        contentFormat = contentFormats.get(partId, part.metadata.get("contentFormat"))
-                        
-                        if contentFormat == "reference":
-                            elements.append({
-                                "type": "reference",
-                                "documentReference": part.metadata.get("documentReference"),
-                                "label": part.metadata.get("usageHint", part.label)
-                            })
-                        
-                        elif contentFormat == "object":
-                            elements.append({
-                                "type": part.typeGroup,
-                                "base64Data": part.data,
-                                "mimeType": part.mimeType,
-                                "altText": part.metadata.get("usageHint", part.label)
-                            })
-                        
-                        elif contentFormat == "extracted":
-                            # WICHTIG: Prüfe sowohl useAiCall als auch generationHint
-                            if useAiCall and generationHint:
-                                # AI-Call mit einzelnen ContentPart
-                                logger.debug(f"Processing section {sectionId}: Single extracted part with AI call (useAiCall={useAiCall}, generationHint={bool(generationHint)})")
-                                generationPrompt = self._buildSectionGenerationPrompt(
-                                    section=section,
-                                    contentParts=[part],
-                                    userPrompt=userPrompt,
-                                    generationHint=generationHint,
-                                    allSections=all_sections_list,
-                                    sectionIndex=sectionIndex,
-                                    isAggregation=False
-                                )
-                                
-                                sectionOperationId = f"{fillOperationId}_section_{sectionId}"
-                                
-                                self.services.chat.progressLogStart(
-                                    sectionOperationId,
-                                    "Section Generation",
-                                    "Section",
-                                    f"Generating section {sectionId}",
-                                    parentOperationId=fillOperationId
-                                )
-                                
-                                try:
-                                    self.services.utils.writeDebugFile(
-                                        generationPrompt,
-                                        f"section_content_{sectionId}_prompt"
-                                    )
-                                    logger.debug(f"Logged section prompt: section_content_{sectionId}_prompt")
-                                    
-                                    request = AiCallRequest(
-                                        prompt=generationPrompt,
-                                        contentParts=[part],
-                                        options=AiCallOptions(
-                                            operationType=OperationTypeEnum.DATA_ANALYSE,
-                                            priority=PriorityEnum.BALANCED,
-                                            processingMode=ProcessingModeEnum.DETAILED
-                                        )
-                                    )
-                                    aiResponse = await self.aiService.callAi(request)
-                                    
-                                    self.services.utils.writeDebugFile(
-                                        aiResponse.content,
-                                        f"section_content_{sectionId}_response"
-                                    )
-                                    logger.debug(f"Logged section response: section_content_{sectionId}_response")
-                                    
-                                    generatedElements = json.loads(
-                                        self.services.utils.jsonExtractString(aiResponse.content)
-                                    )
-                                    if isinstance(generatedElements, list):
-                                        elements.extend(generatedElements)
-                                    elif isinstance(generatedElements, dict) and "elements" in generatedElements:
-                                        elements.extend(generatedElements["elements"])
-                                    
-                                    self.services.chat.progressLogFinish(sectionOperationId, True)
-                                
-                                except Exception as e:
-                                    self.services.chat.progressLogFinish(sectionOperationId, False)
-                                    elements.append({
-                                        "type": "error",
-                                        "message": f"Error generating section {sectionId}: {str(e)}",
-                                        "sectionId": sectionId
-                                    })
-                                    logger.error(f"Error generating section {sectionId}: {str(e)}")
-                            else:
-                                # Füge extrahierten Text direkt hinzu (kein AI-Call)
-                                logger.debug(f"Processing section {sectionId}: Single extracted part WITHOUT AI call (useAiCall={useAiCall}, generationHint={bool(generationHint)}) - adding extracted text directly")
-                                elements.append({
-                                    "type": "extracted_text",
-                                    "content": part.data,
-                                    "source": part.metadata.get("documentId"),
-                                    "extractionPrompt": part.metadata.get("extractionPrompt")
-                                })
-                
-                section["elements"] = elements
-            
-            # Füge ContentParts-Metadaten zur Struktur hinzu (für Validierung)
-            filledStructure = self._addContentPartsMetadata(filledStructure, contentParts)
-            
-            self.services.chat.progressLogFinish(fillOperationId, True)
-            return filledStructure
-        
-        except Exception as e:
-            self.services.chat.progressLogFinish(fillOperationId, False)
-            logger.error(f"Error in _fillStructureLegacy: {str(e)}")
-            raise
-    
     def _buildChapterSectionsStructurePrompt(
         self,
         chapterId: str,
@@ -899,6 +835,18 @@ CRITICAL: Return ONLY valid JSON. Do not include any explanatory text outside th
 """
         return prompt
     
+    def _getContentStructureExample(self, contentType: str) -> str:
+        """Get the JSON structure example for a specific content type."""
+        structures = {
+            "table": '{{"headers": ["Column1", "Column2"], "rows": [["Value1", "Value2"], ["Value3", "Value4"]]}}',
+            "bullet_list": '{{"items": ["Item 1", "Item 2", "Item 3"]}}',
+            "heading": '{{"text": "Section Title", "level": 2}}',
+            "paragraph": '{{"text": "This is paragraph text."}}',
+            "code_block": '{{"code": "function example() {{ return true; }}", "language": "javascript"}}',
+            "image": '{{"base64Data": "<base64_encoded_image_data>", "altText": "Description", "caption": "Optional caption"}}'
+        }
+        return structures.get(contentType, '{{"text": ""}}')
+    
     def _buildSectionGenerationPrompt(
         self,
         section: Dict[str, Any],
@@ -998,6 +946,8 @@ CRITICAL: Return ONLY valid JSON. Do not include any explanatory text outside th
                     for next in nextSections:
                         contextText += f"- {next['id']} ({next['content_type']}): {next['generation_hint']}\n"
         
+        contentStructureExample = self._getContentStructureExample(contentType)
+        
         if isAggregation:
             prompt = f"""# TASK: Generate Section Content (Aggregation)
 
@@ -1027,21 +977,17 @@ CRITICAL: Return ONLY valid JSON. Do not include any explanatory text outside th
 
 ## OUTPUT FORMAT
 Return a JSON object with this structure:
-```json
+
 {{
   "elements": [
     {{
       "type": "{contentType}",
-      "headers": [...],  // if table
+      "content": {contentStructureExample}
-      "rows": [...],     // if table
-      "items": [...],    // if bullet_list
-      "content": "..."   // if paragraph
     }}
   ]
 }}
-```
 
-CRITICAL: Return ONLY valid JSON. Do not include any explanatory text outside the JSON.
+CRITICAL: "content" MUST always be an object (never a string). Return ONLY valid JSON. Do not include any explanatory text outside the JSON.
 """
         else:
             prompt = f"""# TASK: Generate Section Content
@@ -1071,18 +1017,17 @@ CRITICAL: Return ONLY valid JSON. Do not include any explanatory text outside th
 
 ## OUTPUT FORMAT
 Return a JSON object with this structure:
-```json
+
 {{
   "elements": [
     {{
       "type": "{contentType}",
-      "content": "..."
+      "content": {contentStructureExample}
     }}
   ]
 }}
-```
 
-CRITICAL: Return ONLY valid JSON. Do not include any explanatory text outside the JSON.
+CRITICAL: "content" MUST always be an object (never a string). Return ONLY valid JSON. Do not include any explanatory text outside the JSON.
 """
         return prompt
     

modules/services/serviceExtraction/mainServiceExtraction.py

@@ -1129,8 +1129,9 @@ class ExtractionService:
                     logger.warning(f"⚠️ Content part ({contentTokens:.0f} tokens est.) exceeds available space ({availableContentBytes/TOKEN_SAFETY_FACTOR:.0f} tokens est.), chunking required")
                 
                 # If either condition fails, chunk the content
-                if totalTokens > maxTotalTokens or partSize > availableContentBytes:
+                # CRITICAL: IMAGE_GENERATE operations should NOT use chunking - they generate images from prompts, not process content chunks
-                    # Part too large or total exceeds limit - chunk it
+                if (totalTokens > maxTotalTokens or partSize > availableContentBytes) and options.operationType != OperationTypeEnum.IMAGE_GENERATE:
+                    # Part too large or total exceeds limit - chunk it (but not for image generation)
                     chunks = await self.chunkContentPartForAi(contentPart, model, options, prompt)
                     if not chunks:
                         raise ValueError(f"Failed to chunk content part for model {model.name}")

modules/services/serviceGeneration/renderers/rendererBaseTemplate.py

@@ -199,29 +199,40 @@ class BaseRenderer(ABC):
         return "unknown"
     
     def _extractTableData(self, sectionData: Dict[str, Any]) -> Tuple[List[str], List[List[str]]]:
-        """Extract table headers and rows from section data."""
+        """Extract table headers and rows from section data. Expects nested content structure."""
         # Normalize when elements array was passed in
         if isinstance(sectionData, list):
             if sectionData and isinstance(sectionData[0], dict):
                 sectionData = sectionData[0]
             else:
-                # Empty list or invalid structure - return empty table
                 return [], []
-        # Ensure sectionData is a dict before calling .get()
+        # Ensure sectionData is a dict
         if not isinstance(sectionData, dict):
             return [], []
-        headers = sectionData.get("headers", [])
+        # Extract from nested content structure
-        rows = sectionData.get("rows", [])
+        content = sectionData.get("content", {})
+        if not isinstance(content, dict):
+            return [], []
+        headers = content.get("headers", [])
+        rows = content.get("rows", [])
         return headers, rows
     
     def _extractBulletListItems(self, sectionData: Dict[str, Any]) -> List[str]:
-        """Extract bullet list items from section data."""
+        """Extract bullet list items from section data. Expects nested content structure."""
-        # Normalize when elements array or raw list was passed in
+        # Normalize when elements array was passed in
         if isinstance(sectionData, list):
-            # Already a list of items (strings or dicts)
+            if sectionData and isinstance(sectionData[0], dict):
-            items = sectionData
+                sectionData = sectionData[0]
             else:
-            items = sectionData.get("items", [])
+                return []
+        # Ensure sectionData is a dict
+        if not isinstance(sectionData, dict):
+            return []
+        # Extract from nested content structure
+        content = sectionData.get("content", {})
+        if not isinstance(content, dict):
+            return []
+        items = content.get("items", [])
         result = []
         for item in items:
             if isinstance(item, str):
@@ -231,64 +242,89 @@ class BaseRenderer(ABC):
         return result
     
     def _extractHeadingData(self, sectionData: Dict[str, Any]) -> Tuple[int, str]:
-        """Extract heading level and text from section data."""
+        """Extract heading level and text from section data. Expects nested content structure."""
         # Normalize when elements array was passed in
         if isinstance(sectionData, list):
             if sectionData and isinstance(sectionData[0], dict):
                 sectionData = sectionData[0]
             else:
-                # Empty list or invalid structure - return default
                 return 1, ""
-        # Ensure sectionData is a dict before calling .get()
+        # Ensure sectionData is a dict
         if not isinstance(sectionData, dict):
             return 1, ""
-        level = sectionData.get("level", 1)
+        # Extract from nested content structure
-        text = sectionData.get("text", "")
+        content = sectionData.get("content", {})
+        if not isinstance(content, dict):
+            return 1, ""
+        level = content.get("level", 1)
+        text = content.get("text", "")
         return level, text
     
     def _extractParagraphText(self, sectionData: Dict[str, Any]) -> str:
-        """Extract paragraph text from section data."""
+        """Extract paragraph text from section data. Expects nested content structure."""
         if isinstance(sectionData, list):
             # Join multiple paragraph elements if provided as a list
             texts = []
             for el in sectionData:
-                if isinstance(el, dict) and "text" in el:
+                if isinstance(el, dict):
-                    texts.append(el["text"])
+                    content = el.get("content", {})
+                    if isinstance(content, dict):
+                        text = content.get("text", "")
+                    elif isinstance(content, str):
+                        text = content
+                    else:
+                        text = ""
+                    if text:
+                        texts.append(text)
                 elif isinstance(el, str):
                     texts.append(el)
             return "\n".join(texts)
-        return sectionData.get("text", "")
+        # Extract from nested content structure
+        if not isinstance(sectionData, dict):
+            return ""
+        content = sectionData.get("content", {})
+        if isinstance(content, dict):
+            return content.get("text", "")
+        elif isinstance(content, str):
+            return content
+        return ""
     
     def _extractCodeBlockData(self, sectionData: Dict[str, Any]) -> Tuple[str, str]:
-        """Extract code and language from section data."""
+        """Extract code and language from section data. Expects nested content structure."""
         # Normalize when elements array was passed in
         if isinstance(sectionData, list):
             if sectionData and isinstance(sectionData[0], dict):
                 sectionData = sectionData[0]
             else:
-                # Empty list or invalid structure - return default
                 return "", ""
-        # Ensure sectionData is a dict before calling .get()
+        # Ensure sectionData is a dict
         if not isinstance(sectionData, dict):
             return "", ""
-        code = sectionData.get("code", "")
+        # Extract from nested content structure
-        language = sectionData.get("language", "")
+        content = sectionData.get("content", {})
+        if not isinstance(content, dict):
+            return "", ""
+        code = content.get("code", "")
+        language = content.get("language", "")
         return code, language
     
     def _extractImageData(self, sectionData: Dict[str, Any]) -> Tuple[str, str]:
-        """Extract base64 data and alt text from section data."""
+        """Extract base64 data and alt text from section data. Expects nested content structure."""
         # Normalize when elements array was passed in
         if isinstance(sectionData, list):
             if sectionData and isinstance(sectionData[0], dict):
                 sectionData = sectionData[0]
             else:
-                # Empty list or invalid structure - return default
                 return "", "Image"
-        # Ensure sectionData is a dict before calling .get()
+        # Ensure sectionData is a dict
         if not isinstance(sectionData, dict):
             return "", "Image"
-        base64Data = sectionData.get("base64Data", "")
+        # Extract from nested content structure
-        altText = sectionData.get("altText", "Image")
+        content = sectionData.get("content", {})
+        if not isinstance(content, dict):
+            return "", "Image"
+        base64Data = content.get("base64Data", "")
+        altText = content.get("altText", "Image")
         return base64Data, altText
     
     def _renderImageSection(self, section: Dict[str, Any], styles: Dict[str, Any] = None) -> Any:

modules/services/serviceGeneration/renderers/rendererCsv.py

@@ -41,11 +41,17 @@ class RendererCsv(BaseRenderer):
             else:
                 filename = self._determineFilename(title, "text/csv")
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             return [
                 RenderedDocument(
                     documentData=csvContent.encode('utf-8'),
                     mimeType="text/csv",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
@@ -130,8 +136,12 @@ class RendererCsv(BaseRenderer):
     def _renderJsonTableToCsv(self, tableData: Dict[str, Any]) -> List[List[str]]:
         """Render a JSON table to CSV rows."""
         try:
-            headers = tableData.get("headers", [])
+            # Extract from nested content structure
-            rows = tableData.get("rows", [])
+            content = tableData.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             csvRows = []
             
@@ -150,7 +160,11 @@ class RendererCsv(BaseRenderer):
     def _renderJsonListToCsv(self, listData: Dict[str, Any]) -> List[List[str]]:
         """Render a JSON list to CSV rows."""
         try:
-            items = listData.get("items", [])
+            # Extract from nested content structure
+            content = listData.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            items = content.get("items", [])
             csvRows = []
             
             for item in items:
@@ -177,8 +191,12 @@ class RendererCsv(BaseRenderer):
     def _renderJsonHeadingToCsv(self, headingData: Dict[str, Any]) -> List[List[str]]:
         """Render a JSON heading to CSV rows."""
         try:
-            text = headingData.get("text", "")
+            # Extract from nested content structure
-            level = headingData.get("level", 1)
+            content = headingData.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 # Use # symbols for heading levels
@@ -194,7 +212,14 @@ class RendererCsv(BaseRenderer):
     def _renderJsonParagraphToCsv(self, paragraphData: Dict[str, Any]) -> List[List[str]]:
         """Render a JSON paragraph to CSV rows."""
         try:
-            text = paragraphData.get("text", "")
+            # Extract from nested content structure
+            content = paragraphData.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
             
             if text:
                 # Split long paragraphs into multiple rows if needed
@@ -229,8 +254,12 @@ class RendererCsv(BaseRenderer):
     def _renderJsonCodeToCsv(self, codeData: Dict[str, Any]) -> List[List[str]]:
         """Render a JSON code block to CSV rows."""
         try:
-            code = codeData.get("code", "")
+            # Extract from nested content structure
-            language = codeData.get("language", "")
+            content = codeData.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            code = content.get("code", "")
+            language = content.get("language", "")
             
             csvRows = []
             

modules/services/serviceGeneration/renderers/rendererDocx.py

@@ -52,6 +52,10 @@ class RendererDocx(BaseRenderer):
             # Generate DOCX using AI-analyzed styling
             docx_content = await self._generateDocxFromJson(extractedContent, title, userPrompt, aiService)
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             # Determine filename from document or title
             documents = extractedContent.get("documents", [])
             if documents and isinstance(documents[0], dict):
@@ -74,7 +78,9 @@ class RendererDocx(BaseRenderer):
                 RenderedDocument(
                     documentData=docx_bytes,
                     mimeType="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
@@ -82,11 +88,15 @@ class RendererDocx(BaseRenderer):
             self.logger.error(f"Error rendering DOCX: {str(e)}")
             # Return minimal fallback
             fallbackContent = f"DOCX Generation Error: {str(e)}"
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
             return [
                 RenderedDocument(
                     documentData=fallbackContent.encode('utf-8'),
                     mimeType="text/plain",
-                    filename=self._determineFilename(title, "text/plain")
+                    filename=self._determineFilename(title, "text/plain"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
     
@@ -96,8 +106,8 @@ class RendererDocx(BaseRenderer):
             # Create new document
             doc = Document()
             
-            # Get style set: default styles, enhanced with AI if style instructions present
+            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styleSet = await self._getStyleSet(userPrompt, aiService)
+            styleSet = await self._getStyleSet(json_content, userPrompt, aiService)
             
             # Setup basic document styles and create all styles from style set
             self._setupBasicDocumentStyles(doc)
@@ -137,12 +147,17 @@ class RendererDocx(BaseRenderer):
             self.logger.error(f"Error generating DOCX from JSON: {str(e)}")
             raise Exception(f"DOCX generation failed: {str(e)}")
     
-    async def _getStyleSet(self, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
+    async def _getStyleSet(self, extractedContent: Dict[str, Any] = None, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
-        """Get style set - default styles, enhanced with AI if userPrompt provided.
+        """Get style set - use styles from document generation metadata if available,
+        otherwise enhance default styles with AI if userPrompt provided.
+        
+        WICHTIG: In a dynamic scalable AI system, styling should come from document generation,
+        not be generated separately by renderers. Only fall back to AI if styles not provided.
         
         Args:
+            extractedContent: Document content with metadata (may contain styles)
             userPrompt: User's prompt (AI will detect style instructions in any language)
-            aiService: AI service (used only if userPrompt provided)
+            aiService: AI service (used only if styles not in metadata and userPrompt provided)
             templateName: Name of template style set (None = default)
             
         Returns:
@@ -156,10 +171,18 @@ class RendererDocx(BaseRenderer):
         else:
             defaultStyleSet = self._getDefaultStyleSet()
         
-        # Enhance with AI if userPrompt provided (AI handles multilingual style detection)
+        # FIRST: Check if styles are provided in document generation metadata (preferred approach)
+        if extractedContent:
+            metadata = extractedContent.get("metadata", {})
+            if isinstance(metadata, dict):
+                styles = metadata.get("styles")
+                if styles and isinstance(styles, dict):
+                    self.logger.debug("Using styles from document generation metadata")
+                    return self._validateStylesContrast(styles)
+        
+        # FALLBACK: Enhance with AI if userPrompt provided (only if styles not in metadata)
         if userPrompt and aiService:
-            # AI will naturally detect style instructions in any language
+            self.logger.info(f"Styles not in metadata, enhancing with AI based on user prompt...")
-            self.logger.info(f"Enhancing styles with AI based on user prompt...")
             enhancedStyleSet = await self._enhanceStylesWithAI(userPrompt, defaultStyleSet, aiService)
             return self._validateStylesContrast(enhancedStyleSet)
         else:
@@ -264,6 +287,10 @@ class RendererDocx(BaseRenderer):
             section_type = section.get("content_type", "paragraph")
             elements = section.get("elements", [])
             
+            # If no elements, skip this section (it has no content to render)
+            if not elements:
+                return
+            
             # Process each element in the section
             for element in elements:
                 element_type = element.get("type", "")
@@ -286,7 +313,21 @@ class RendererDocx(BaseRenderer):
                             para.add_run(f" (Source: {source})").italic = True
                     continue
                 
-                # Standard section types
+                # Check element type, not section type (elements can have different types than section)
+                if element_type == "table":
+                    self._renderJsonTable(doc, element, styles)
+                elif element_type == "bullet_list":
+                    self._renderJsonBulletList(doc, element, styles)
+                elif element_type == "heading":
+                    self._renderJsonHeading(doc, element, styles)
+                elif element_type == "paragraph":
+                    self._renderJsonParagraph(doc, element, styles)
+                elif element_type == "code_block":
+                    self._renderJsonCodeBlock(doc, element, styles)
+                elif element_type == "image":
+                    self._renderJsonImage(doc, element, styles)
+                else:
+                    # Fallback: if element_type not set, use section_type
                     if section_type == "table":
                         self._renderJsonTable(doc, element, styles)
                     elif section_type == "bullet_list":
@@ -311,8 +352,12 @@ class RendererDocx(BaseRenderer):
     def _renderJsonTable(self, doc: Document, table_data: Dict[str, Any], styles: Dict[str, Any]) -> None:
         """Render a JSON table to DOCX using AI-generated styles."""
         try:
-            headers = table_data.get("headers", [])
+            # Extract from nested content structure
-            rows = table_data.get("rows", [])
+            content = table_data.get("content", {})
+            if not isinstance(content, dict):
+                return
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers or not rows:
                 return
@@ -467,7 +512,11 @@ class RendererDocx(BaseRenderer):
     def _renderJsonBulletList(self, doc: Document, list_data: Dict[str, Any], styles: Dict[str, Any]) -> None:
         """Render a JSON bullet list to DOCX using AI-generated styles."""
         try:
-            items = list_data.get("items", [])
+            # Extract from nested content structure
+            content = list_data.get("content", {})
+            if not isinstance(content, dict):
+                return
+            items = content.get("items", [])
             bullet_style = styles["bullet_list"]
             
             for item in items:
@@ -482,8 +531,12 @@ class RendererDocx(BaseRenderer):
     def _renderJsonHeading(self, doc: Document, heading_data: Dict[str, Any], styles: Dict[str, Any]) -> None:
         """Render a JSON heading to DOCX using AI-generated styles."""
         try:
-            level = heading_data.get("level", 1)
+            # Extract from nested content structure
-            text = heading_data.get("text", "")
+            content = heading_data.get("content", {})
+            if not isinstance(content, dict):
+                return
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 level = max(1, min(6, level))
@@ -495,7 +548,25 @@ class RendererDocx(BaseRenderer):
     def _renderJsonParagraph(self, doc: Document, paragraph_data: Dict[str, Any], styles: Dict[str, Any]) -> None:
         """Render a JSON paragraph to DOCX using AI-generated styles."""
         try:
-            text = paragraph_data.get("text", "")
+            # Extract from nested content structure
+            content = paragraph_data.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
+            
+            # CRITICAL: Prevent rendering base64 image data as text
+            # Base64 image data typically starts with /9j/ (JPEG) or iVBORw0KGgo (PNG)
+            if text and (text.startswith("/9j/") or text.startswith("iVBORw0KGgo") or 
+                        (len(text) > 100 and all(c in "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=" for c in text[:100]))):
+                # This looks like base64 data - don't render as text
+                self.logger.warning(f"Skipping rendering of what appears to be base64 data in paragraph (length: {len(text)})")
+                para = doc.add_paragraph("[Error: Image data found in text content - image embedding may have failed]")
+                if para.runs:
+                    para.runs[0].font.color.rgb = RGBColor(255, 0, 0)  # Red color for error
+                return
             
             if text:
                 para = doc.add_paragraph(text)
@@ -506,8 +577,12 @@ class RendererDocx(BaseRenderer):
     def _renderJsonCodeBlock(self, doc: Document, code_data: Dict[str, Any], styles: Dict[str, Any]) -> None:
         """Render a JSON code block to DOCX using AI-generated styles."""
         try:
-            code = code_data.get("code", "")
+            # Extract from nested content structure
-            language = code_data.get("language", "")
+            content = code_data.get("content", {})
+            if not isinstance(content, dict):
+                return
+            code = content.get("code", "")
+            language = content.get("language", "")
             
             if code:
                 if language:
@@ -525,20 +600,33 @@ class RendererDocx(BaseRenderer):
     def _renderJsonImage(self, doc: Document, image_data: Dict[str, Any], styles: Dict[str, Any]) -> None:
         """Render a JSON image to DOCX."""
         try:
-            base64_data = image_data.get("base64Data", "")
+            # Extract from nested content structure
-            alt_text = image_data.get("altText", "Image")
+            content = image_data.get("content", {})
+            if not isinstance(content, dict):
+                return
+            base64_data = content.get("base64Data", "")
+            alt_text = content.get("altText", "Image")
             
             if base64_data:
+                try:
                     image_bytes = base64.b64decode(base64_data)
                     doc.add_picture(io.BytesIO(image_bytes), width=Inches(4))
                     
                     if alt_text:
                         caption_para = doc.add_paragraph(f"Figure: {alt_text}")
                         caption_para.runs[0].italic = True
+                except Exception as embedError:
+                    # Image decoding or embedding failed
+                    raise Exception(f"Failed to decode or embed image: {str(embedError)}")
+            else:
+                raise Exception("No image data provided (base64Data is empty)")
                     
         except Exception as e:
-            self.logger.warning(f"Error rendering image: {str(e)}")
+            self.logger.error(f"Error embedding image in DOCX: {str(e)}")
-            doc.add_paragraph(f"[Image: {image_data.get('altText', 'Image')}]")
+            errorMsg = f"[Error: Could not embed image '{image_data.get('altText', 'Image')}'. {str(e)}]"
+            errorPara = doc.add_paragraph(errorMsg)
+            if errorPara.runs:
+                errorPara.runs[0].font.color.rgb = RGBColor(255, 0, 0)  # Red color for error
     
     def _extractStructureFromPrompt(self, userPrompt: str, title: str) -> Dict[str, Any]:
         """Extract document structure from user prompt."""

modules/services/serviceGeneration/renderers/rendererHtml.py

@@ -55,12 +55,18 @@ class RendererHtml(BaseRenderer):
         else:
             htmlFilename = self._determineFilename(title, "text/html")
         
+        # Extract metadata for document type and other info
+        metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+        documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+        
         # Start with HTML document
         resultDocuments = [
             RenderedDocument(
                 documentData=htmlContent.encode('utf-8'),
                 mimeType="text/html",
-                filename=htmlFilename
+                filename=htmlFilename,
+                documentType=documentType,
+                metadata=metadata if isinstance(metadata, dict) else None
             )
         ]
         
@@ -90,8 +96,8 @@ class RendererHtml(BaseRenderer):
     async def _generateHtmlFromJson(self, jsonContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> str:
         """Generate HTML content from structured JSON document using AI-generated styling."""
         try:
-            # Get style set: default styles, enhanced with AI if userPrompt provided
+            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(userPrompt, aiService)
+            styles = await self._getStyleSet(jsonContent, userPrompt, aiService)
             
             # Validate JSON structure
             if not self._validateJsonStructure(jsonContent):
@@ -148,12 +154,17 @@ class RendererHtml(BaseRenderer):
             self.logger.error(f"Error generating HTML from JSON: {str(e)}")
             raise Exception(f"HTML generation failed: {str(e)}")
     
-    async def _getStyleSet(self, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
+    async def _getStyleSet(self, extractedContent: Dict[str, Any] = None, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
-        """Get style set - default styles, enhanced with AI if userPrompt provided.
+        """Get style set - use styles from document generation metadata if available,
+        otherwise enhance default styles with AI if userPrompt provided.
+        
+        WICHTIG: In a dynamic scalable AI system, styling should come from document generation,
+        not be generated separately by renderers. Only fall back to AI if styles not provided.
         
         Args:
+            extractedContent: Document content with metadata (may contain styles)
             userPrompt: User's prompt (AI will detect style instructions in any language)
-            aiService: AI service (used only if userPrompt provided)
+            aiService: AI service (used only if styles not in metadata and userPrompt provided)
             templateName: Name of template style set (None = default)
             
         Returns:
@@ -162,10 +173,18 @@ class RendererHtml(BaseRenderer):
         # Get default style set
         defaultStyleSet = self._getDefaultStyleSet()
         
-        # Enhance with AI if userPrompt provided (AI handles multilingual style detection)
+        # FIRST: Check if styles are provided in document generation metadata (preferred approach)
+        if extractedContent:
+            metadata = extractedContent.get("metadata", {})
+            if isinstance(metadata, dict):
+                styles = metadata.get("styles")
+                if styles and isinstance(styles, dict):
+                    self.logger.debug("Using styles from document generation metadata")
+                    return self._validateStylesContrast(styles)
+        
+        # FALLBACK: Enhance with AI if userPrompt provided (only if styles not in metadata)
         if userPrompt and aiService:
-            # AI will naturally detect style instructions in any language
+            self.logger.info(f"Styles not in metadata, enhancing with AI based on user prompt...")
-            self.logger.info(f"Enhancing styles with AI based on user prompt...")
             enhancedStyleSet = await self._enhanceStylesWithAI(userPrompt, defaultStyleSet, aiService)
             return self._validateStylesContrast(enhancedStyleSet)
         else:
@@ -446,8 +465,12 @@ class RendererHtml(BaseRenderer):
     def _renderJsonTable(self, tableData: Dict[str, Any], styles: Dict[str, Any]) -> str:
         """Render a JSON table to HTML using AI-generated styles."""
         try:
-            headers = tableData.get("headers", [])
+            # Extract from nested content structure
-            rows = tableData.get("rows", [])
+            content = tableData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers or not rows:
                 return ""
@@ -477,9 +500,13 @@ class RendererHtml(BaseRenderer):
             return ""
     
     def _renderJsonBulletList(self, listData: Dict[str, Any], styles: Dict[str, Any]) -> str:
-        """Render a JSON bullet list to HTML using AI-generated styles."""
+        """Render a JSON bullet list to HTML using AI-generated styles. Expects nested content structure."""
         try:
-            items = listData.get("items", [])
+            # Extract from nested content structure
+            content = listData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            items = content.get("items", [])
             
             if not items:
                 return ""
@@ -513,8 +540,12 @@ class RendererHtml(BaseRenderer):
             elif not isinstance(headingData, dict):
                 return ""
             
-            level = headingData.get("level", 1)
+            # Extract from nested content structure
-            text = headingData.get("text", "")
+            content = headingData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 level = max(1, min(6, level))
@@ -531,11 +562,19 @@ class RendererHtml(BaseRenderer):
         try:
             # Normalize inputs - paragraphData is typically a list of elements from _getSectionData
             if isinstance(paragraphData, list):
-                # Extract text from all paragraph elements
+                # Extract text from all paragraph elements (expects nested content structure)
                 texts = []
                 for el in paragraphData:
-                    if isinstance(el, dict) and "text" in el:
+                    if isinstance(el, dict):
-                        texts.append(el["text"])
+                        content = el.get("content", {})
+                        if isinstance(content, dict):
+                            text = content.get("text", "")
+                        elif isinstance(content, str):
+                            text = content
+                        else:
+                            text = ""
+                        if text:
+                            texts.append(text)
                     elif isinstance(el, str):
                         texts.append(el)
                 if texts:
@@ -545,7 +584,15 @@ class RendererHtml(BaseRenderer):
             elif isinstance(paragraphData, str):
                 return f'<p>{paragraphData}</p>'
             elif isinstance(paragraphData, dict):
-                text = paragraphData.get("text", "")
+                # Handle nested content structure: element.content vs element.text
+                # Extract from nested content structure
+                content = paragraphData.get("content", {})
+                if isinstance(content, dict):
+                    text = content.get("text", "")
+                elif isinstance(content, str):
+                    text = content
+                else:
+                    text = ""
                 if text:
                     return f'<p>{text}</p>'
                 return ""
@@ -557,10 +604,14 @@ class RendererHtml(BaseRenderer):
             return ""
     
     def _renderJsonCodeBlock(self, codeData: Dict[str, Any], styles: Dict[str, Any]) -> str:
-        """Render a JSON code block to HTML using AI-generated styles."""
+        """Render a JSON code block to HTML using AI-generated styles. Expects nested content structure."""
         try:
-            code = codeData.get("code", "")
+            # Extract from nested content structure
-            language = codeData.get("language", "")
+            content = codeData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            code = content.get("code", "")
+            language = content.get("language", "")
             
             if code:
                 if language:
@@ -575,12 +626,16 @@ class RendererHtml(BaseRenderer):
             return ""
     
     def _renderJsonImage(self, imageData: Dict[str, Any], styles: Dict[str, Any]) -> str:
-        """Render a JSON image to HTML with placeholder for later replacement."""
+        """Render a JSON image to HTML with placeholder for later replacement. Expects nested content structure."""
         try:
             import html
-            base64Data = imageData.get("base64Data", "")
+            # Extract from nested content structure
-            altText = imageData.get("altText", "Image")
+            content = imageData.get("content", {})
-            caption = imageData.get("caption", "")
+            if not isinstance(content, dict):
+                return ""
+            base64Data = content.get("base64Data", "")
+            altText = content.get("altText", "Image")
+            caption = content.get("caption", "")
             
             # Escape HTML in altText and caption to prevent injection
             altTextEscaped = html.escape(str(altText))
@@ -600,8 +655,10 @@ class RendererHtml(BaseRenderer):
             return ""
             
         except Exception as e:
-            self.logger.warning(f"Error rendering image: {str(e)}")
+            self.logger.error(f"Error embedding image in HTML: {str(e)}")
-            return f'<div class="error">[Image: {imageData.get("altText", "Image")}]</div>'
+            altText = imageData.get("altText", "Image")
+            errorMsg = html.escape(f"[Error: Could not embed image '{altText}'. {str(e)}]")
+            return f'<div class="error" style="color: red; padding: 10px; border: 1px solid red;">{errorMsg}</div>'
     
     def _extractImages(self, jsonContent: Dict[str, Any]) -> List[Dict[str, Any]]:
         """
@@ -626,12 +683,24 @@ class RendererHtml(BaseRenderer):
                     if section.get("content_type") == "image":
                         elements = section.get("elements", [])
                         for element in elements:
+                            # Extract from nested content structure
+                            content = element.get("content", {})
+                            base64Data = ""
+                            
+                            if isinstance(content, dict):
+                                base64Data = content.get("base64Data", "")
+                            elif isinstance(content, str):
+                                # Content might be base64 string directly (shouldn't happen)
+                                pass
+                            
+                            # If base64Data not found in content, try direct element fields (fallback)
+                            if not base64Data:
                                 base64Data = element.get("base64Data", "")
                             
-                            # If base64Data not found, try extracting from url data URI
+                            # If base64Data still not found, try extracting from url data URI
                             if not base64Data:
-                                url = element.get("url", "")
+                                url = element.get("url", "") or (content.get("url", "") if isinstance(content, dict) else "")
-                                if url.startswith("data:image/"):
+                                if url and isinstance(url, str) and url.startswith("data:image/"):
                                     # Extract base64 from data URI: data:image/png;base64,<base64>
                                     import re
                                     match = re.match(r'data:image/[^;]+;base64,(.+)', url)
@@ -642,7 +711,8 @@ class RendererHtml(BaseRenderer):
                                 sectionId = section.get("id", "unknown")
                                 
                                 # Bestimme MIME-Type und Extension
-                                mimeType = element.get("mimeType", "image/png")
+                                mimeType = element.get("mimeType", "") or (content.get("mimeType", "") if isinstance(content, dict) else "")
+                                if not mimeType or mimeType == "unknown":
                                 if not mimeType or mimeType == "unknown":
                                     # Versuche MIME-Type aus base64 zu erkennen
                                     if base64Data.startswith("/9j/"):

modules/services/serviceGeneration/renderers/rendererImage.py

@@ -54,11 +54,17 @@ class RendererImage(BaseRenderer):
             else:
                 imageBytes = imageContent
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             return [
                 RenderedDocument(
                     documentData=imageBytes,
                     mimeType="image/png",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             

modules/services/serviceGeneration/renderers/rendererJson.py

@@ -43,11 +43,17 @@ class RendererJson(BaseRenderer):
             else:
                 filename = self._determineFilename(title, "application/json")
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             return [
                 RenderedDocument(
                     documentData=jsonContent.encode('utf-8'),
                     mimeType="application/json",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
@@ -60,11 +66,15 @@ class RendererJson(BaseRenderer):
                 "metadata": {"error": str(e)}
             }
             fallbackContent = json.dumps(fallbackData, indent=2)
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
             return [
                 RenderedDocument(
                     documentData=fallbackContent.encode('utf-8'),
                     mimeType="application/json",
-                    filename=self._determineFilename(title, "application/json")
+                    filename=self._determineFilename(title, "application/json"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
     

modules/services/serviceGeneration/renderers/rendererMarkdown.py

@@ -41,11 +41,17 @@ class RendererMarkdown(BaseRenderer):
             else:
                 filename = self._determineFilename(title, "text/markdown")
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             return [
                 RenderedDocument(
                     documentData=markdownContent.encode('utf-8'),
                     mimeType="text/markdown",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
@@ -53,11 +59,15 @@ class RendererMarkdown(BaseRenderer):
             self.logger.error(f"Error rendering markdown: {str(e)}")
             # Return minimal markdown fallback
             fallbackContent = f"# {title}\n\nError rendering report: {str(e)}"
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
             return [
                 RenderedDocument(
                     documentData=fallbackContent.encode('utf-8'),
                     mimeType="text/markdown",
-                    filename=self._determineFilename(title, "text/markdown")
+                    filename=self._determineFilename(title, "text/markdown"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
     
@@ -164,8 +174,12 @@ class RendererMarkdown(BaseRenderer):
     def _renderJsonTable(self, tableData: Dict[str, Any]) -> str:
         """Render a JSON table to markdown."""
         try:
-            headers = tableData.get("headers", [])
+            # Extract from nested content structure
-            rows = tableData.get("rows", [])
+            content = tableData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers or not rows:
                 return ""
@@ -194,7 +208,11 @@ class RendererMarkdown(BaseRenderer):
     def _renderJsonBulletList(self, listData: Dict[str, Any]) -> str:
         """Render a JSON bullet list to markdown."""
         try:
-            items = listData.get("items", [])
+            # Extract from nested content structure
+            content = listData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            items = content.get("items", [])
             
             if not items:
                 return ""
@@ -215,8 +233,12 @@ class RendererMarkdown(BaseRenderer):
     def _renderJsonHeading(self, headingData: Dict[str, Any]) -> str:
         """Render a JSON heading to markdown."""
         try:
-            level = headingData.get("level", 1)
+            # Extract from nested content structure
-            text = headingData.get("text", "")
+            content = headingData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 level = max(1, min(6, level))
@@ -231,7 +253,14 @@ class RendererMarkdown(BaseRenderer):
     def _renderJsonParagraph(self, paragraphData: Dict[str, Any]) -> str:
         """Render a JSON paragraph to markdown."""
         try:
-            text = paragraphData.get("text", "")
+            # Extract from nested content structure
+            content = paragraphData.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
             return text if text else ""
             
         except Exception as e:
@@ -241,8 +270,12 @@ class RendererMarkdown(BaseRenderer):
     def _renderJsonCodeBlock(self, codeData: Dict[str, Any]) -> str:
         """Render a JSON code block to markdown."""
         try:
-            code = codeData.get("code", "")
+            # Extract from nested content structure
-            language = codeData.get("language", "")
+            content = codeData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            code = content.get("code", "")
+            language = content.get("language", "")
             
             if code:
                 if language:
@@ -259,8 +292,12 @@ class RendererMarkdown(BaseRenderer):
     def _renderJsonImage(self, imageData: Dict[str, Any]) -> str:
         """Render a JSON image to markdown."""
         try:
-            altText = imageData.get("altText", "Image")
+            # Extract from nested content structure
-            base64Data = imageData.get("base64Data", "")
+            content = imageData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            altText = content.get("altText", "Image")
+            base64Data = content.get("base64Data", "")
             
             if base64Data:
                 # For base64 images, we can't embed them directly in markdown

modules/services/serviceGeneration/renderers/rendererPdf.py

@@ -51,6 +51,10 @@ class RendererPdf(BaseRenderer):
             # Generate PDF using AI-analyzed styling
             pdf_content = await self._generatePdfFromJson(extractedContent, title, userPrompt, aiService)
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             # Determine filename from document or title
             documents = extractedContent.get("documents", [])
             if documents and isinstance(documents[0], dict):
@@ -74,7 +78,9 @@ class RendererPdf(BaseRenderer):
                 RenderedDocument(
                     documentData=pdf_bytes,
                     mimeType="application/pdf",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
@@ -93,8 +99,8 @@ class RendererPdf(BaseRenderer):
     async def _generatePdfFromJson(self, json_content: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> str:
         """Generate PDF content from structured JSON document using AI-generated styling."""
         try:
-            # Get style set: default styles, enhanced with AI if userPrompt provided
+            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(userPrompt, aiService)
+            styles = await self._getStyleSet(json_content, userPrompt, aiService)
             
             # Validate JSON structure
             if not self._validateJsonStructure(json_content):
@@ -157,12 +163,17 @@ class RendererPdf(BaseRenderer):
             self.logger.error(f"Error generating PDF from JSON: {str(e)}")
             raise Exception(f"PDF generation failed: {str(e)}")
     
-    async def _getStyleSet(self, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
+    async def _getStyleSet(self, extractedContent: Dict[str, Any] = None, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
-        """Get style set - default styles, enhanced with AI if userPrompt provided.
+        """Get style set - use styles from document generation metadata if available,
+        otherwise enhance default styles with AI if userPrompt provided.
+        
+        WICHTIG: In a dynamic scalable AI system, styling should come from document generation,
+        not be generated separately by renderers. Only fall back to AI if styles not provided.
         
         Args:
+            extractedContent: Document content with metadata (may contain styles)
             userPrompt: User's prompt (AI will detect style instructions in any language)
-            aiService: AI service (used only if userPrompt provided)
+            aiService: AI service (used only if styles not in metadata and userPrompt provided)
             templateName: Name of template style set (None = default)
             
         Returns:
@@ -171,10 +182,19 @@ class RendererPdf(BaseRenderer):
         # Get default style set
         defaultStyleSet = self._getDefaultStyleSet()
         
-        # Enhance with AI if userPrompt provided (AI handles multilingual style detection)
+        # FIRST: Check if styles are provided in document generation metadata (preferred approach)
+        if extractedContent:
+            metadata = extractedContent.get("metadata", {})
+            if isinstance(metadata, dict):
+                styles = metadata.get("styles")
+                if styles and isinstance(styles, dict):
+                    self.logger.debug("Using styles from document generation metadata")
+                    enhancedStyleSet = self._convertColorsFormat(styles)
+                    return self._validateStylesContrast(enhancedStyleSet)
+        
+        # FALLBACK: Enhance with AI if userPrompt provided (only if styles not in metadata)
         if userPrompt and aiService:
-            # AI will naturally detect style instructions in any language
+            self.logger.info(f"Styles not in metadata, enhancing with AI based on user prompt...")
-            self.logger.info(f"Enhancing styles with AI based on user prompt...")
             enhancedStyleSet = await self._enhanceStylesWithAI(userPrompt, defaultStyleSet, aiService)
             # Convert colors to PDF format after getting styles
             enhancedStyleSet = self._convertColorsFormat(enhancedStyleSet)
@@ -545,7 +565,21 @@ class RendererPdf(BaseRenderer):
                         all_elements.append(Spacer(1, 6))
                     continue
                 
-                # Standard section types
+                # Check element type, not section type (elements can have different types than section)
+                if element_type == "table":
+                    all_elements.extend(self._renderJsonTable(element, styles))
+                elif element_type == "bullet_list":
+                    all_elements.extend(self._renderJsonBulletList(element, styles))
+                elif element_type == "heading":
+                    all_elements.extend(self._renderJsonHeading(element, styles))
+                elif element_type == "paragraph":
+                    all_elements.extend(self._renderJsonParagraph(element, styles))
+                elif element_type == "code_block":
+                    all_elements.extend(self._renderJsonCodeBlock(element, styles))
+                elif element_type == "image":
+                    all_elements.extend(self._renderJsonImage(element, styles))
+                else:
+                    # Fallback: if element_type not set, use section_type as fallback
                     if section_type == "table":
                         all_elements.extend(self._renderJsonTable(element, styles))
                     elif section_type == "bullet_list":
@@ -559,7 +593,7 @@ class RendererPdf(BaseRenderer):
                     elif section_type == "image":
                         all_elements.extend(self._renderJsonImage(element, styles))
                     else:
-                    # Fallback to paragraph for unknown types
+                        # Final fallback to paragraph for unknown types
                         all_elements.extend(self._renderJsonParagraph(element, styles))
             
             return all_elements
@@ -571,8 +605,13 @@ class RendererPdf(BaseRenderer):
     def _renderJsonTable(self, table_data: Dict[str, Any], styles: Dict[str, Any]) -> List[Any]:
         """Render a JSON table to PDF elements using AI-generated styles."""
         try:
-            headers = table_data.get("headers", [])
+            # Handle nested content structure: element.content.headers vs element.headers
-            rows = table_data.get("rows", [])
+            # Extract from nested content structure
+            content = table_data.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers or not rows:
                 return []
@@ -588,13 +627,13 @@ class RendererPdf(BaseRenderer):
             table_cell_style = styles.get("table_cell", {})
             
             table_style = [
-                ('BACKGROUND', (0, 0), (-1, 0), self._hex_to_color(table_header_style.get("background", "#4F4F4F"))),
+                ('BACKGROUND', (0, 0), (-1, 0), self._hexToColor(table_header_style.get("background", "#4F4F4F"))),
-                ('TEXTCOLOR', (0, 0), (-1, 0), self._hex_to_color(table_header_style.get("text_color", "#FFFFFF"))),
+                ('TEXTCOLOR', (0, 0), (-1, 0), self._hexToColor(table_header_style.get("text_color", "#FFFFFF"))),
                 ('ALIGN', (0, 0), (-1, -1), self._getTableAlignment(table_cell_style.get("align", "left"))),
                 ('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold' if table_header_style.get("bold", True) else 'Helvetica'),
                 ('FONTSIZE', (0, 0), (-1, 0), table_header_style.get("font_size", 12)),
                 ('BOTTOMPADDING', (0, 0), (-1, 0), 12),
-                ('BACKGROUND', (0, 1), (-1, -1), self._hex_to_color(table_cell_style.get("background", "#FFFFFF"))),
+                ('BACKGROUND', (0, 1), (-1, -1), self._hexToColor(table_cell_style.get("background", "#FFFFFF"))),
                 ('FONTSIZE', (0, 1), (-1, -1), table_cell_style.get("font_size", 10)),
                 ('GRID', (0, 0), (-1, -1), 1, colors.black)
             ]
@@ -610,7 +649,11 @@ class RendererPdf(BaseRenderer):
     def _renderJsonBulletList(self, list_data: Dict[str, Any], styles: Dict[str, Any]) -> List[Any]:
         """Render a JSON bullet list to PDF elements using AI-generated styles."""
         try:
-            items = list_data.get("items", [])
+            # Extract from nested content structure
+            content = list_data.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            items = content.get("items", [])
             bullet_style_def = styles.get("bullet_list", {})
             
             elements = []
@@ -632,8 +675,12 @@ class RendererPdf(BaseRenderer):
     def _renderJsonHeading(self, heading_data: Dict[str, Any], styles: Dict[str, Any]) -> List[Any]:
         """Render a JSON heading to PDF elements using AI-generated styles."""
         try:
-            level = heading_data.get("level", 1)
+            # Extract from nested content structure
-            text = heading_data.get("text", "")
+            content = heading_data.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 level = max(1, min(6, level))
@@ -649,7 +696,14 @@ class RendererPdf(BaseRenderer):
     def _renderJsonParagraph(self, paragraph_data: Dict[str, Any], styles: Dict[str, Any]) -> List[Any]:
         """Render a JSON paragraph to PDF elements using AI-generated styles."""
         try:
-            text = paragraph_data.get("text", "")
+            # Extract from nested content structure
+            content = paragraph_data.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
             
             if text:
                 return [Paragraph(text, self._createNormalStyle(styles))]
@@ -663,8 +717,12 @@ class RendererPdf(BaseRenderer):
     def _renderJsonCodeBlock(self, code_data: Dict[str, Any], styles: Dict[str, Any]) -> List[Any]:
         """Render a JSON code block to PDF elements using AI-generated styles."""
         try:
-            code = code_data.get("code", "")
+            # Extract from nested content structure
-            language = code_data.get("language", "")
+            content = code_data.get("content", {})
+            if not isinstance(content, dict):
+                return []
+            code = content.get("code", "")
+            language = content.get("language", "")
             code_style_def = styles.get("code_block", {})
             
             if code:
@@ -700,14 +758,34 @@ class RendererPdf(BaseRenderer):
     def _renderJsonImage(self, image_data: Dict[str, Any], styles: Dict[str, Any]) -> List[Any]:
         """Render a JSON image to PDF elements using reportlab."""
         try:
+            # Extract from nested content structure
+            content = image_data.get("content", {})
+            base64_data = ""
+            alt_text = "Image"
+            caption = ""
+            
+            if isinstance(content, dict):
+                # Nested content structure
+                base64_data = content.get("base64Data", "")
+                alt_text = content.get("altText", "Image")
+                caption = content.get("caption", "")
+            elif isinstance(content, str):
+                # Content might be base64 string directly (shouldn't happen, but handle it)
+                self.logger.warning("Image content is a string, not a dict. This should not happen.")
+                return [Paragraph(f"[Image: Invalid format]", self._createNormalStyle(styles))]
+            
+            # If base64Data not found in content, try direct element fields (fallback)
+            if not base64_data:
                 base64_data = image_data.get("base64Data", "")
+                if not alt_text or alt_text == "Image":
                     alt_text = image_data.get("altText", "Image")
+                if not caption:
                     caption = image_data.get("caption", "")
             
-            # If base64Data not found, try extracting from url data URI
+            # If base64Data still not found, try extracting from url data URI
             if not base64_data:
-                url = image_data.get("url", "")
+                url = image_data.get("url", "") or (content.get("url", "") if isinstance(content, dict) else "")
-                if url.startswith("data:image/"):
+                if url and isinstance(url, str) and url.startswith("data:image/"):
                     # Extract base64 from data URI: data:image/png;base64,<base64>
                     import re
                     match = re.match(r'data:image/[^;]+;base64,(.+)', url)
@@ -715,8 +793,18 @@ class RendererPdf(BaseRenderer):
                         base64_data = match.group(1)
             
             if not base64_data:
+                self.logger.warning(f"No base64 data found for image. Alt text: {alt_text}")
                 return [Paragraph(f"[Image: {alt_text}]", self._createNormalStyle(styles))]
             
+            # Validate that base64_data is actually base64 (not the entire element rendered as text)
+            if len(base64_data) > 10000:  # Very long string might be entire element JSON
+                self.logger.warning(f"Base64 data seems too long ({len(base64_data)} chars), might be incorrectly extracted")
+            
+            # Ensure base64_data is a string, not bytes or other type
+            if not isinstance(base64_data, str):
+                self.logger.warning(f"Base64 data is not a string: {type(base64_data)}")
+                return [Paragraph(f"[Image: {alt_text} - Invalid data type]", self._createNormalStyle(styles))]
+            
             try:
                 from reportlab.platypus import Image as ReportLabImage
                 from reportlab.lib.units import inch
@@ -731,25 +819,61 @@ class RendererPdf(BaseRenderer):
                 # Try to get image dimensions from PIL
                 try:
                     from PIL import Image as PILImage
-                    pilImage = PILImage.open(imageStream)
+                    from reportlab.lib.pagesizes import A4
-                    imgWidth, imgHeight = pilImage.size
                     
-                    # Scale to fit page (max width 6 inches, maintain aspect ratio)
+                    pilImage = PILImage.open(imageStream)
-                    maxWidth = 6 * inch
+                    originalWidth, originalHeight = pilImage.size
-                    if imgWidth > maxWidth:
+                    
-                        scale = maxWidth / imgWidth
+                    # Calculate available page dimensions (A4 with margins: 72pt left/right, 72pt top, 18pt bottom)
-                        imgWidth = maxWidth
+                    pageWidth = A4[0]  # 595.27 points
+                    pageHeight = A4[1]  # 841.89 points
+                    leftMargin = 72
+                    rightMargin = 72
+                    topMargin = 72
+                    bottomMargin = 18
+                    
+                    # Use actual frame dimensions from SimpleDocTemplate
+                    # Frame is smaller than page minus margins due to internal spacing
+                    # From error message: frame is 439.27559055118115 x 739.8897637795277
+                    # Use conservative values with safety margin
+                    availableWidth = 430.0  # Slightly smaller than frame width for safety
+                    availableHeight = 730.0  # Slightly smaller than frame height for safety
+                    
+                    # Convert original image size from pixels to points (assuming 72 DPI)
+                    # If image DPI is different, PIL will provide correct size
+                    # For safety, use a conservative conversion
+                    imgWidthPoints = originalWidth * (inch / 72)  # Convert to inches, then to points
+                    imgHeightPoints = originalHeight * (inch / 72)
+                    
+                    # Scale to fit within available page dimensions while maintaining aspect ratio
+                    widthScale = availableWidth / imgWidthPoints if imgWidthPoints > 0 else 1.0
+                    heightScale = availableHeight / imgHeightPoints if imgHeightPoints > 0 else 1.0
+                    
+                    # Use the smaller scale to ensure image fits both width and height
+                    scale = min(widthScale, heightScale, 1.0)  # Don't scale up, only down
+                    
+                    imgWidth = imgWidthPoints * scale
+                    imgHeight = imgHeightPoints * scale
+                    
+                    # Additional safety check: ensure dimensions don't exceed available space
+                    if imgWidth > availableWidth:
+                        scale = availableWidth / imgWidth
+                        imgWidth = availableWidth
                         imgHeight = imgHeight * scale
-                    else:
+                    
-                        imgWidth = imgWidth * (inch / 72)  # Convert pixels to inches (assuming 72 DPI)
+                    if imgHeight > availableHeight:
-                        imgHeight = imgHeight * (inch / 72)
+                        scale = availableHeight / imgHeight
+                        imgHeight = availableHeight
+                        imgWidth = imgWidth * scale
                     
                     # Reset stream for reportlab
                     imageStream.seek(0)
-                except Exception:
+                except Exception as e:
-                    # Fallback: use default size
+                    # Fallback: use default size that fits page
-                    imgWidth = 4 * inch
+                    self.logger.warning(f"Error calculating image size: {str(e)}, using safe default")
-                    imgHeight = 3 * inch
+                    # Use 80% of available width as safe default
+                    imgWidth = 4 * inch  # ~288 points, safe for ~451pt available width
+                    imgHeight = 3 * inch  # ~216 points, safe for ~751pt available height
                     imageStream.seek(0)
                 
                 # Create reportlab Image
@@ -773,10 +897,16 @@ class RendererPdf(BaseRenderer):
                 return elements
                 
             except Exception as imgError:
-                self.logger.warning(f"Error embedding image in PDF: {str(imgError)}")
+                self.logger.error(f"Error embedding image in PDF: {str(imgError)}")
-                # Fallback to placeholder
+                # Return error message instead of placeholder
-                return [Paragraph(f"[Image: {alt_text}]", self._createNormalStyle(styles))]
+                errorStyle = self._createNormalStyle(styles)
+                errorStyle.textColor = self._hexToColor("#FF0000")  # Red color for error
+                errorMsg = f"[Error: Could not embed image '{alt_text}'. {str(imgError)}]"
+                return [Paragraph(errorMsg, errorStyle)]
             
         except Exception as e:
-            self.logger.warning(f"Error rendering image: {str(e)}")
+            self.logger.error(f"Error rendering image: {str(e)}")
-            return [Paragraph(f"[Image: {image_data.get('altText', 'Image')}]", self._createNormalStyle(styles))]
+            errorStyle = self._createNormalStyle(styles)
+            errorStyle.textColor = self._hexToColor("#FF0000")  # Red color for error
+            errorMsg = f"[Error: Could not render image '{image_data.get('altText', 'Image')}'. {str(e)}]"
+            return [Paragraph(errorMsg, errorStyle)]

modules/services/serviceGeneration/renderers/rendererPptx.py

@@ -48,8 +48,8 @@ class RendererPptx(BaseRenderer):
             from pptx.dml.color import RGBColor
             import re
             
-            # Get style set: default styles, enhanced with AI if userPrompt provided
+            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(userPrompt, aiService)
+            styles = await self._getStyleSet(extractedContent, userPrompt, aiService)
             
             # Create new presentation
             prs = Presentation()
@@ -99,7 +99,7 @@ class RendererPptx(BaseRenderer):
                 if title_shape.text_frame.paragraphs[0].font:
                     title_shape.text_frame.paragraphs[0].font.size = Pt(title_style.get("font_size", 44))
                     title_shape.text_frame.paragraphs[0].font.bold = title_style.get("bold", True)
-                    title_color = self._get_safe_color(title_style.get("color", (31, 78, 121)))
+                    title_color = self._getSafeColor(title_style.get("color", (31, 78, 121)))
                     title_shape.text_frame.paragraphs[0].font.color.rgb = RGBColor(*title_color)
                 
                 # Handle images first (if present)
@@ -133,7 +133,7 @@ class RendererPptx(BaseRenderer):
                                 heading_style = styles.get("heading", {})
                                 p.font.size = Pt(heading_style.get("font_size", 32))
                                 p.font.bold = heading_style.get("bold", True)
-                                heading_color = self._get_safe_color(heading_style.get("color", (47, 47, 47)))
+                                heading_color = self._getSafeColor(heading_style.get("color", (47, 47, 47)))
                                 p.font.color.rgb = RGBColor(*heading_color)
                             elif paragraph.startswith('##'):
                                 # Subheader
@@ -141,7 +141,7 @@ class RendererPptx(BaseRenderer):
                                 subheading_style = styles.get("subheading", {})
                                 p.font.size = Pt(subheading_style.get("font_size", 24))
                                 p.font.bold = subheading_style.get("bold", True)
-                                subheading_color = self._get_safe_color(subheading_style.get("color", (79, 79, 79)))
+                                subheading_color = self._getSafeColor(subheading_style.get("color", (79, 79, 79)))
                                 p.font.color.rgb = RGBColor(*subheading_color)
                             elif paragraph.startswith('*') and paragraph.endswith('*'):
                                 # Bold text
@@ -149,14 +149,14 @@ class RendererPptx(BaseRenderer):
                                 paragraph_style = styles.get("paragraph", {})
                                 p.font.size = Pt(paragraph_style.get("font_size", 18))
                                 p.font.bold = True
-                                paragraph_color = self._get_safe_color(paragraph_style.get("color", (47, 47, 47)))
+                                paragraph_color = self._getSafeColor(paragraph_style.get("color", (47, 47, 47)))
                                 p.font.color.rgb = RGBColor(*paragraph_color)
                             else:
                                 # Regular text
                                 paragraph_style = styles.get("paragraph", {})
                                 p.font.size = Pt(paragraph_style.get("font_size", 18))
                                 p.font.bold = paragraph_style.get("bold", False)
-                                paragraph_color = self._get_safe_color(paragraph_style.get("color", (47, 47, 47)))
+                                paragraph_color = self._getSafeColor(paragraph_style.get("color", (47, 47, 47)))
                                 p.font.color.rgb = RGBColor(*paragraph_color)
                             
                             # Apply alignment
@@ -181,7 +181,7 @@ class RendererPptx(BaseRenderer):
                 if title_shape.text_frame.paragraphs[0].font:
                     title_shape.text_frame.paragraphs[0].font.size = Pt(title_style.get("font_size", 48))
                     title_shape.text_frame.paragraphs[0].font.bold = title_style.get("bold", True)
-                    title_color = self._get_safe_color(title_style.get("color", (31, 78, 121)))
+                    title_color = self._getSafeColor(title_style.get("color", (31, 78, 121)))
                     title_shape.text_frame.paragraphs[0].font.color.rgb = RGBColor(*title_color)
                 
                 subtitle_shape = slide.placeholders[1]
@@ -215,32 +215,46 @@ class RendererPptx(BaseRenderer):
             else:
                 filename = self._determineFilename(title, "application/vnd.openxmlformats-officedocument.presentationml.presentation")
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             return [
                 RenderedDocument(
                     documentData=pptx_bytes,
                     mimeType="application/vnd.openxmlformats-officedocument.presentationml.presentation",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
         except ImportError:
             logger.error("python-pptx library not installed. Install with: pip install python-pptx")
             fallbackContent = "python-pptx library not installed"
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
             return [
                 RenderedDocument(
                     documentData=fallbackContent.encode('utf-8'),
                     mimeType="text/plain",
-                    filename=self._determineFilename(title, "text/plain")
+                    filename=self._determineFilename(title, "text/plain"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
         except Exception as e:
             logger.error(f"Error rendering PowerPoint presentation: {str(e)}")
             fallbackContent = f"Error rendering PowerPoint presentation: {str(e)}"
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
             return [
                 RenderedDocument(
                     documentData=fallbackContent.encode('utf-8'),
                     mimeType="text/plain",
-                    filename=self._determineFilename(title, "text/plain")
+                    filename=self._determineFilename(title, "text/plain"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
     
@@ -349,12 +363,17 @@ class RendererPptx(BaseRenderer):
         """Get MIME type for rendered output."""
         return self.outputMimeType
     
-    async def _getStyleSet(self, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
+    async def _getStyleSet(self, extractedContent: Dict[str, Any] = None, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
-        """Get style set - default styles, enhanced with AI if userPrompt provided.
+        """Get style set - use styles from document generation metadata if available,
+        otherwise enhance default styles with AI if userPrompt provided.
+        
+        WICHTIG: In a dynamic scalable AI system, styling should come from document generation,
+        not be generated separately by renderers. Only fall back to AI if styles not provided.
         
         Args:
+            extractedContent: Document content with metadata (may contain styles)
             userPrompt: User's prompt (AI will detect style instructions in any language)
-            aiService: AI service (used only if userPrompt provided)
+            aiService: AI service (used only if styles not in metadata and userPrompt provided)
             templateName: Name of template style set (None = default)
             
         Returns:
@@ -363,10 +382,19 @@ class RendererPptx(BaseRenderer):
         # Get default style set
         defaultStyleSet = self._getDefaultStyleSet()
         
-        # Enhance with AI if userPrompt provided (AI handles multilingual style detection)
+        # FIRST: Check if styles are provided in document generation metadata (preferred approach)
+        if extractedContent:
+            metadata = extractedContent.get("metadata", {})
+            if isinstance(metadata, dict):
+                styles = metadata.get("styles")
+                if styles and isinstance(styles, dict):
+                    self.logger.debug("Using styles from document generation metadata")
+                    enhancedStyleSet = self._convertColorsFormat(styles)
+                    return self._validateStylesReadability(enhancedStyleSet)
+        
+        # FALLBACK: Enhance with AI if userPrompt provided (only if styles not in metadata)
         if userPrompt and aiService:
-            # AI will naturally detect style instructions in any language
+            self.logger.info(f"Styles not in metadata, enhancing with AI based on user prompt...")
-            self.logger.info(f"Enhancing styles with AI based on user prompt...")
             enhancedStyleSet = await self._enhanceStylesWithAI(userPrompt, defaultStyleSet, aiService)
             # Convert colors to PPTX format after getting styles
             enhancedStyleSet = self._convertColorsFormat(enhancedStyleSet)
@@ -690,14 +718,27 @@ JSON ONLY. NO OTHER TEXT."""
             
             # Handle image sections specially
             if content_type == "image":
-                # Extract image data
+                # Extract image data from nested content structure
                 images = []
                 for element in elements:
-                    if element.get("base64Data"):
+                    if isinstance(element, dict):
+                        # Extract from nested content structure
+                        content = element.get("content", {})
+                        if isinstance(content, dict):
+                            base64Data = content.get("base64Data")
+                            altText = content.get("altText", "Image")
+                            caption = content.get("caption", "")
+                        else:
+                            # Fallback to direct element fields
+                            base64Data = element.get("base64Data")
+                            altText = element.get("altText", "Image")
+                            caption = element.get("caption", "")
+                        
+                        if base64Data:
                             images.append({
-                            "base64Data": element.get("base64Data"),
+                                "base64Data": base64Data,
-                            "altText": element.get("altText", "Image"),
+                                "altText": altText,
-                            "caption": element.get("caption")
+                                "caption": caption
                             })
                 
                 return {
@@ -719,7 +760,7 @@ JSON ONLY. NO OTHER TEXT."""
                 elif content_type == "code":
                     content_parts.append(self._formatCodeForSlide(elements))
                 else:
-                    content_parts.append(self._format_paragraph_for_slide(elements))
+                    content_parts.append(self._formatParagraphForSlide(elements))
             
             # Combine content parts
             slide_content = "\n\n".join(filter(None, content_parts))
@@ -734,17 +775,20 @@ JSON ONLY. NO OTHER TEXT."""
             logger.warning(f"Error creating slide from section: {str(e)}")
             return None
     
-    def _formatTableForSlide(self, elements: List[Dict[str, Any]]) -> str:
+    def _formatTableForSlide(self, element: Dict[str, Any]) -> str:
         """Format table data for slide presentation."""
         try:
-            # Extract table data from elements array
+            # Extract table data from element - handle nested content structure
-            headers = []
+            if not isinstance(element, dict):
-            rows = []
+                return ""
-            for element in elements:
+            
-                if isinstance(element, dict) and "headers" in element and "rows" in element:
+            # Extract from nested content structure
-                    headers = element.get("headers", [])
+            content = element.get("content", {})
-                    rows = element.get("rows", [])
+            if not isinstance(content, dict):
-                    break
+                return ""
+            
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers:
                 return ""
@@ -778,7 +822,11 @@ JSON ONLY. NO OTHER TEXT."""
     def _formatListForSlide(self, list_data: Dict[str, Any]) -> str:
         """Format list data for slide presentation."""
         try:
-            items = list_data.get("items", [])
+            # Extract from nested content structure
+            content = list_data.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            items = content.get("items", [])
             
             if not items:
                 return ""
@@ -810,8 +858,12 @@ JSON ONLY. NO OTHER TEXT."""
     def _formatHeadingForSlide(self, heading_data: Dict[str, Any]) -> str:
         """Format heading data for slide presentation."""
         try:
-            text = heading_data.get("text", "")
+            # Extract from nested content structure
-            level = heading_data.get("level", 1)
+            content = heading_data.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 return f"{'#' * level} {text}"
@@ -825,7 +877,14 @@ JSON ONLY. NO OTHER TEXT."""
     def _formatParagraphForSlide(self, paragraph_data: Dict[str, Any]) -> str:
         """Format paragraph data for slide presentation."""
         try:
-            text = paragraph_data.get("text", "")
+            # Extract from nested content structure
+            content = paragraph_data.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
             
             if text:
                 # Limit paragraph length based on content density
@@ -844,8 +903,12 @@ JSON ONLY. NO OTHER TEXT."""
     def _formatCodeForSlide(self, code_data: Dict[str, Any]) -> str:
         """Format code data for slide presentation."""
         try:
-            code = code_data.get("code", "")
+            # Extract from nested content structure
-            language = code_data.get("language", "")
+            content = code_data.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            code = content.get("code", "")
+            language = content.get("language", "")
             
             if code:
                 # Limit code length based on content density
@@ -912,6 +975,10 @@ JSON ONLY. NO OTHER TEXT."""
                 section_type = section.get("content_type", "paragraph")
                 elements = section.get("elements", [])
                 
+                # Skip sections with no elements (unless they're headings that should create new slides)
+                if not elements and section_type != "heading":
+                    continue
+                
                 if section_type == "heading":
                     # If we have accumulated content, create a slide
                     if current_slide_content:
@@ -923,10 +990,26 @@ JSON ONLY. NO OTHER TEXT."""
                         current_slide_content = []
                     
                     # Start new slide with heading as title
+                    heading_found = False
                     for element in elements:
-                        if isinstance(element, dict) and "text" in element:
+                        if isinstance(element, dict):
-                            current_slide_title = element.get("text", "Untitled Section")
+                            # Extract from nested content structure
+                            content = element.get("content", {})
+                            if isinstance(content, dict):
+                                heading_text = content.get("text", "")
+                            elif isinstance(content, str):
+                                heading_text = content
+                            else:
+                                heading_text = ""
+                            
+                            if heading_text:
+                                current_slide_title = heading_text
+                                heading_found = True
                                 break
+                    
+                    # If no heading text found but this is a heading section, use section ID or default
+                    if not heading_found:
+                        current_slide_title = section.get("id", "Untitled Section")
                 elif section_type == "image":
                     # Create separate slide for image
                     if current_slide_content:
@@ -940,11 +1023,24 @@ JSON ONLY. NO OTHER TEXT."""
                     # Extract image data
                     imageData = []
                     for element in elements:
-                        if element.get("base64Data"):
+                        if isinstance(element, dict):
+                            # Extract from nested content structure
+                            content = element.get("content", {})
+                            if isinstance(content, dict):
+                                base64Data = content.get("base64Data")
+                                altText = content.get("altText", "Image")
+                                caption = content.get("caption", "")
+                            else:
+                                # Fallback to direct element fields
+                                base64Data = element.get("base64Data")
+                                altText = element.get("altText", "Image")
+                                caption = element.get("caption", "")
+                            
+                            if base64Data:
                                 imageData.append({
-                                "base64Data": element.get("base64Data"),
+                                    "base64Data": base64Data,
-                                "altText": element.get("altText", "Image"),
+                                    "altText": altText,
-                                "caption": element.get("caption")
+                                    "caption": caption
                                 })
                     
                     slides.append({
@@ -986,17 +1082,17 @@ JSON ONLY. NO OTHER TEXT."""
             content_parts = []
             for element in elements:
                 if content_type == "table":
-                    content_parts.append(self._formatTableForSlide([element]))
+                    content_parts.append(self._formatTableForSlide(element))
-                elif content_type == "list":
+                elif content_type == "bullet_list" or content_type == "list":
-                    content_parts.append(self._formatListForSlide([element]))
+                    content_parts.append(self._formatListForSlide(element))
                 elif content_type == "heading":
-                    content_parts.append(self._formatHeadingForSlide([element]))
+                    content_parts.append(self._formatHeadingForSlide(element))
                 elif content_type == "paragraph":
-                    content_parts.append(self._formatParagraphForSlide([element]))
+                    content_parts.append(self._formatParagraphForSlide(element))
-                elif content_type == "code":
+                elif content_type == "code_block" or content_type == "code":
-                    content_parts.append(self._formatCodeForSlide([element]))
+                    content_parts.append(self._formatCodeForSlide(element))
                 else:
-                    content_parts.append(self._format_paragraph_for_slide([element]))
+                    content_parts.append(self._formatParagraphForSlide(element))
             
             return "\n\n".join(filter(None, content_parts))
                 
@@ -1009,6 +1105,7 @@ JSON ONLY. NO OTHER TEXT."""
         try:
             from pptx.util import Inches, Pt
             from pptx.enum.text import PP_ALIGN
+            from pptx.dml.color import RGBColor
             import base64
             import io
             
@@ -1106,7 +1203,25 @@ JSON ONLY. NO OTHER TEXT."""
                         slide.shapes.add_picture(imageStream, left, top, width=imgWidth, height=imgHeight)
                         
         except Exception as e:
-            logger.warning(f"Error adding images to slide: {str(e)}")
+            logger.error(f"Error embedding images in PPTX slide: {str(e)}")
+            # Add error message text box to slide
+            try:
+                from pptx.util import Inches, Pt
+                from pptx.enum.text import PP_ALIGN
+                errorMsg = f"[Error: Could not embed image(s). {str(e)}]"
+                errorBox = slide.shapes.add_textbox(
+                    Inches(0.5),
+                    Inches(2),
+                    slideWidth - Inches(1),
+                    Inches(0.5)
+                )
+                errorFrame = errorBox.text_frame
+                errorFrame.text = errorMsg
+                errorFrame.paragraphs[0].font.size = Pt(12)
+                errorFrame.paragraphs[0].font.color.rgb = RGBColor(255, 0, 0)  # Red color
+                errorFrame.paragraphs[0].alignment = PP_ALIGN.LEFT
+            except Exception as errorBoxError:
+                logger.error(f"Could not add error message to slide: {str(errorBoxError)}")
     
     def _formatTimestamp(self) -> str:
         """Format current timestamp for presentation generation."""

modules/services/serviceGeneration/renderers/rendererText.py

@@ -63,11 +63,17 @@ class RendererText(BaseRenderer):
             else:
                 filename = self._determineFilename(title, "text/plain")
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             return [
                 RenderedDocument(
                     documentData=textContent.encode('utf-8'),
                     mimeType="text/plain",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
@@ -75,11 +81,15 @@ class RendererText(BaseRenderer):
             self.logger.error(f"Error rendering text: {str(e)}")
             # Return minimal text fallback
             fallbackContent = f"{title}\n\nError rendering report: {str(e)}"
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
             return [
                 RenderedDocument(
                     documentData=fallbackContent.encode('utf-8'),
                     mimeType="text/plain",
-                    filename=self._determineFilename(title, "text/plain")
+                    filename=self._determineFilename(title, "text/plain"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
     
@@ -201,8 +211,12 @@ class RendererText(BaseRenderer):
     def _renderJsonTable(self, tableData: Dict[str, Any]) -> str:
         """Render a JSON table to text."""
         try:
-            headers = tableData.get("headers", [])
+            # Extract from nested content structure
-            rows = tableData.get("rows", [])
+            content = tableData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers or not rows:
                 return ""
@@ -231,7 +245,11 @@ class RendererText(BaseRenderer):
     def _renderJsonBulletList(self, listData: Dict[str, Any]) -> str:
         """Render a JSON bullet list to text."""
         try:
-            items = listData.get("items", [])
+            # Extract from nested content structure
+            content = listData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            items = content.get("items", [])
             
             if not items:
                 return ""
@@ -252,8 +270,12 @@ class RendererText(BaseRenderer):
     def _renderJsonHeading(self, headingData: Dict[str, Any]) -> str:
         """Render a JSON heading to text."""
         try:
-            level = headingData.get("level", 1)
+            # Extract from nested content structure
-            text = headingData.get("text", "")
+            content = headingData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 level = max(1, min(6, level))
@@ -273,7 +295,14 @@ class RendererText(BaseRenderer):
     def _renderJsonParagraph(self, paragraphData: Dict[str, Any]) -> str:
         """Render a JSON paragraph to text."""
         try:
-            text = paragraphData.get("text", "")
+            # Extract from nested content structure
+            content = paragraphData.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
             return text if text else ""
             
         except Exception as e:
@@ -283,8 +312,12 @@ class RendererText(BaseRenderer):
     def _renderJsonCodeBlock(self, codeData: Dict[str, Any]) -> str:
         """Render a JSON code block to text."""
         try:
-            code = codeData.get("code", "")
+            # Extract from nested content structure
-            language = codeData.get("language", "")
+            content = codeData.get("content", {})
+            if not isinstance(content, dict):
+                return ""
+            code = content.get("code", "")
+            language = content.get("language", "")
             
             if code:
                 if language:
@@ -301,9 +334,14 @@ class RendererText(BaseRenderer):
     def _renderJsonImage(self, imageData: Dict[str, Any]) -> str:
         """Render a JSON image to text."""
         try:
+            # Extract from nested content structure
+            content = imageData.get("content", {})
+            if isinstance(content, dict):
+                altText = content.get("altText", "Image")
+            else:
                 altText = imageData.get("altText", "Image")
             return f"[Image: {altText}]"
             
         except Exception as e:
             self.logger.warning(f"Error rendering image: {str(e)}")
-            return f"[Image: {imageData.get('altText', 'Image')}]"
+            return f"[Image: Image]"

modules/services/serviceGeneration/renderers/rendererXlsx.py

@@ -50,6 +50,10 @@ class RendererXlsx(BaseRenderer):
             # Generate Excel using AI-analyzed styling
             excelContent = await self._generateExcelFromJson(extractedContent, title, userPrompt, aiService)
             
+            # Extract metadata for document type and other info
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            
             # Determine filename from document or title
             documents = extractedContent.get("documents", [])
             if documents and isinstance(documents[0], dict):
@@ -72,14 +76,27 @@ class RendererXlsx(BaseRenderer):
                 RenderedDocument(
                     documentData=excel_bytes,
                     mimeType="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
-                    filename=filename
+                    filename=filename,
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
                 )
             ]
             
         except Exception as e:
             self.logger.error(f"Error rendering Excel: {str(e)}")
-            # Return CSV fallback
+            # Return CSV fallback with metadata
-            return f"Title,Content\n{title},Error rendering Excel report: {str(e)}", "text/csv"
+            metadata = extractedContent.get("metadata", {}) if extractedContent else {}
+            documentType = metadata.get("documentType") if isinstance(metadata, dict) else None
+            fallbackContent = f"Title,Content\n{title},Error rendering Excel report: {str(e)}"
+            return [
+                RenderedDocument(
+                    documentData=fallbackContent.encode('utf-8'),
+                    mimeType="text/csv",
+                    filename=self._determineFilename(title, "text/csv"),
+                    documentType=documentType,
+                    metadata=metadata if isinstance(metadata, dict) else None
+                )
+            ]
     
     def _generateExcel(self, content: str, title: str) -> str:
         """Generate Excel content using openpyxl."""
@@ -231,8 +248,8 @@ class RendererXlsx(BaseRenderer):
             self.services.utils.debugLogToFile(f"EXCEL JSON CONTENT TYPE: {type(jsonContent)}", "EXCEL_RENDERER")
             self.services.utils.debugLogToFile(f"EXCEL JSON CONTENT KEYS: {list(jsonContent.keys()) if isinstance(jsonContent, dict) else 'Not a dict'}", "EXCEL_RENDERER")
             
-            # Get style set: default styles, enhanced with AI if userPrompt provided
+            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(userPrompt, aiService)
+            styles = await self._getStyleSet(jsonContent, userPrompt, aiService)
             
             # Validate JSON structure (standardized schema: {metadata: {...}, documents: [{sections: [...]}]})
             if not self._validateJsonStructure(jsonContent):
@@ -275,12 +292,17 @@ class RendererXlsx(BaseRenderer):
             self.logger.error(f"Error generating Excel from JSON: {str(e)}")
             raise Exception(f"Excel generation failed: {str(e)}")
     
-    async def _getStyleSet(self, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
+    async def _getStyleSet(self, extractedContent: Dict[str, Any] = None, userPrompt: str = None, aiService=None, templateName: str = None) -> Dict[str, Any]:
-        """Get style set - default styles, enhanced with AI if userPrompt provided.
+        """Get style set - use styles from document generation metadata if available,
+        otherwise enhance default styles with AI if userPrompt provided.
+        
+        WICHTIG: In a dynamic scalable AI system, styling should come from document generation,
+        not be generated separately by renderers. Only fall back to AI if styles not provided.
         
         Args:
+            extractedContent: Document content with metadata (may contain styles)
             userPrompt: User's prompt (AI will detect style instructions in any language)
-            aiService: AI service (used only if userPrompt provided)
+            aiService: AI service (used only if styles not in metadata and userPrompt provided)
             templateName: Name of template style set (None = default)
             
         Returns:
@@ -289,10 +311,19 @@ class RendererXlsx(BaseRenderer):
         # Get default style set
         defaultStyleSet = self._getDefaultStyleSet()
         
-        # Enhance with AI if userPrompt provided (AI handles multilingual style detection)
+        # FIRST: Check if styles are provided in document generation metadata (preferred approach)
+        if extractedContent:
+            metadata = extractedContent.get("metadata", {})
+            if isinstance(metadata, dict):
+                styles = metadata.get("styles")
+                if styles and isinstance(styles, dict):
+                    self.logger.debug("Using styles from document generation metadata")
+                    enhancedStyleSet = self._convertColorsFormat(styles)
+                    return self._validateStylesContrast(enhancedStyleSet)
+        
+        # FALLBACK: Enhance with AI if userPrompt provided (only if styles not in metadata)
         if userPrompt and aiService:
-            # AI will naturally detect style instructions in any language
+            self.logger.info(f"Styles not in metadata, enhancing with AI based on user prompt...")
-            self.logger.info(f"Enhancing styles with AI based on user prompt...")
             enhancedStyleSet = await self._enhanceStylesWithAI(userPrompt, defaultStyleSet, aiService)
             # Convert colors to Excel format after getting styles
             enhancedStyleSet = self._convertColorsFormat(enhancedStyleSet)
@@ -462,86 +493,119 @@ class RendererXlsx(BaseRenderer):
         
         # Create sheets
         for i, sheetName in enumerate(sheetNames):
+            # Sanitize sheet name before creating
+            sanitized_name = self._sanitizeSheetName(sheetName)
             if i == 0:
                 # Use the default sheet for the first sheet
                 sheet = wb.active
-                sheet.title = sheetName
+                sheet.title = sanitized_name
             else:
                 # Create additional sheets
-                sheet = wb.create_sheet(sheetName, i)
+                sheet = wb.create_sheet(sanitized_name, i)
-            sheets[sheetName.lower()] = sheet
+            # Use sanitized name as key (lowercase for lookup)
+            sheets[sanitized_name.lower()] = sheet
         
         return sheets
     
+    def _sanitizeSheetName(self, name: str) -> str:
+        """Sanitize sheet name: remove invalid characters and ensure valid length."""
+        if not name:
+            return "Sheet"
+        # Remove invalid characters: [ ] : * ? / \
+        invalid_chars = ['[', ']', ':', '*', '?', '/', '\\']
+        sanitized = name
+        for char in invalid_chars:
+            sanitized = sanitized.replace(char, '')
+        # Remove leading/trailing spaces and apostrophes
+        sanitized = sanitized.strip().strip("'")
+        # Ensure not empty
+        if not sanitized:
+            sanitized = "Sheet"
+        # Excel sheet name limit is 31 characters
+        return sanitized[:31]
+    
     def _generateSheetNamesFromContent(self, jsonContent: Dict[str, Any]) -> List[str]:
-        """Generate sheet names based on actual content structure."""
+        """Generate sheet names: each heading section creates a new tab."""
         sections = self._extractSections(jsonContent)
         
         # If no sections, create a single sheet
         if not sections:
             return ["Content"]
         
-        # Generate sheet names based on content structure
+        # Simple logic: each heading section creates a new tab
         sheetNames = []
-        
+        for section in sections:
-        # Check if we have multiple table sections
+            if section.get("content_type") == "heading":
-        tableSections = [s for s in sections if s.get("content_type") == "table"]
+                # Extract heading text from elements
-        
-        if len(tableSections) > 1:
-            # Create separate sheets for each table
-            for i, section in enumerate(tableSections, 1):
-                # Try to get caption from table element first, then section title, then fallback
-                sectionTitle = None
                 elements = section.get("elements", [])
                 if elements and isinstance(elements, list) and len(elements) > 0:
-                    tableElement = elements[0]
+                    headingElement = elements[0]
-                    sectionTitle = tableElement.get("caption")
+                    content = headingElement.get("content", {})
-                
+                    if isinstance(content, dict):
-                if not sectionTitle:
+                        headingText = content.get("text", "")
-                    sectionTitle = section.get("title")
+                    elif isinstance(content, str):
-                
+                        headingText = content
-                if not sectionTitle:
-                    sectionTitle = f"Table {i}"
-                
-                sheetNames.append(sectionTitle[:31])  # Excel sheet name limit
                     else:
-            # Single table or mixed content - create only main sheet
+                        headingText = ""
+                    
+                    if headingText:
+                        sanitized_name = self._sanitizeSheetName(headingText)
+                        # Ensure unique sheet names
+                        if sanitized_name not in sheetNames:
+                            sheetNames.append(sanitized_name)
+                        else:
+                            # Add number suffix for duplicates
+                            counter = 1
+                            base_name = sanitized_name[:28]  # Leave room for " (1)"
+                            while f"{base_name} ({counter})" in sheetNames:
+                                counter += 1
+                            sheetNames.append(f"{base_name} ({counter})"[:31])
+        
+        # If no headings found, use document title
+        if not sheetNames:
             documentTitle = jsonContent.get("metadata", {}).get("title", "Document")
-            sheetNames.append(documentTitle[:31])  # Excel sheet name limit
+            sheetNames.append(self._sanitizeSheetName(documentTitle))
         
         return sheetNames
     
     def _populateExcelSheets(self, sheets: Dict[str, Any], jsonContent: Dict[str, Any], styles: Dict[str, Any]) -> None:
-        """Populate Excel sheets with content from JSON based on actual sheet names."""
+        """Populate Excel sheets: each heading creates a new tab, all following content goes in that tab."""
         try:
-            # Get the actual sheet names that were created
+            # Get the actual sheet names that were created (keys are lowercase)
             sheetNames = list(sheets.keys())
             
             if not sheetNames:
                 return
             
             sections = self._extractSections(jsonContent)
-            tableSections = [s for s in sections if s.get("content_type") == "table"]
             
-            if len(tableSections) > 1:
+            # Simple logic: iterate through sections, each heading creates a new tab
-                # Multiple tables - populate each sheet with its corresponding table
+            currentSheetIndex = 0
-                for i, section in enumerate(tableSections):
+            currentSheet = None
-                    if i < len(sheetNames):
+            currentRow = 1
-                        sheetName = sheetNames[i]
+            
-                        sheet = sheets[sheetName]
+            for section in sections:
-                        # Use the caption from table element as sheet title, or fallback to sheet name
+                contentType = section.get("content_type", "paragraph")
-                        sheetTitle = sheetName
+                
-                        elements = section.get("elements", [])
+                # Heading section: switch to next sheet
-                        if elements and isinstance(elements, list) and len(elements) > 0:
+                if contentType == "heading":
-                            tableElement = elements[0]
+                    if currentSheetIndex < len(sheetNames):
-                            caption = tableElement.get("caption")
+                        sheetName = sheetNames[currentSheetIndex]
-                            if caption:
+                        currentSheet = sheets[sheetName]  # sheets dict uses lowercase keys
-                                sheetTitle = caption
+                        currentSheetIndex += 1
-                        self._populateTableSheet(sheet, section, styles, sheetTitle)
+                        currentRow = 1  # Start at row 1 for new sheet
                     else:
-                # Single table or mixed content - populate only main sheet
+                        # More headings than sheets - use last sheet
-                firstSheetName = sheetNames[0]
+                        if sheetNames:
-                self._populateMainSheet(sheets[firstSheetName], jsonContent, styles)
+                            currentSheet = sheets[sheetNames[-1]]
+                
+                # Render content in current sheet (or first sheet if no headings yet)
+                if currentSheet is None and sheetNames:
+                    currentSheet = sheets[sheetNames[0]]
+                
+                if currentSheet:
+                    currentRow = self._addSectionToSheet(currentSheet, section, styles, currentRow)
+                    currentRow += 1  # Add spacing between sections
                 
         except Exception as e:
             self.logger.warning(f"Could not populate Excel sheets: {str(e)}")
@@ -558,9 +622,15 @@ class RendererXlsx(BaseRenderer):
             # Get table data from elements (canonical JSON format)
             elements = section.get("elements", [])
             if elements and isinstance(elements, list) and len(elements) > 0:
-                table_data = elements[0]
+                table_element = elements[0]
-                headers = table_data.get("headers", [])
+                # Extract from nested content structure
-                rows = table_data.get("rows", [])
+                content = table_element.get("content", {})
+                if not isinstance(content, dict):
+                    headers = []
+                    rows = []
+                else:
+                    headers = content.get("headers", [])
+                    rows = content.get("rows", [])
             else:
                 headers = []
                 rows = []
@@ -578,11 +648,28 @@ class RendererXlsx(BaseRenderer):
                 if header_style.get("background"):
                     cell.fill = PatternFill(start_color=self._getSafeColor(header_style["background"]), end_color=self._getSafeColor(header_style["background"]), fill_type="solid")
             
-            # Add rows
+            # Add rows - handle both array format and cells object format
             cell_style = styles.get("table_cell", {})
             for row_idx, row_data in enumerate(rows, 4):
-                for col_idx, cell_value in enumerate(row_data, 1):
+                # Handle different row formats
-                    cell = sheet.cell(row=row_idx, column=col_idx, value=cell_value)
+                if isinstance(row_data, list):
+                    # Array format: [value1, value2, ...]
+                    cell_values = row_data
+                elif isinstance(row_data, dict) and "cells" in row_data:
+                    # Cells object format: {"cells": [{"value": ...}, ...]}
+                    cell_values = [cell_obj.get("value", "") for cell_obj in row_data.get("cells", [])]
+                else:
+                    # Unknown format, skip
+                    continue
+                
+                for col_idx, cell_value in enumerate(cell_values, 1):
+                    # Extract value if it's a dict with "value" key
+                    if isinstance(cell_value, dict):
+                        actual_value = cell_value.get("value", "")
+                    else:
+                        actual_value = cell_value
+                    
+                    cell = sheet.cell(row=row_idx, column=col_idx, value=actual_value)
                     if cell_style.get("text_color"):
                         cell.font = Font(color=self._getSafeColor(cell_style["text_color"]))
             
@@ -714,6 +801,21 @@ class RendererXlsx(BaseRenderer):
             # Handle all section types using elements array
             elements = section.get("elements", [])
             for element in elements:
+                # Check element type, not section type (elements can have different types than section)
+                element_type = element.get("type", "") if isinstance(element, dict) else ""
+                
+                if element_type == "table":
+                    startRow = self._addTableToExcel(sheet, element, styles, startRow)
+                elif element_type == "bullet_list" or element_type == "list":
+                    startRow = self._addListToExcel(sheet, element, styles, startRow)
+                elif element_type == "paragraph":
+                    startRow = self._addParagraphToExcel(sheet, element, styles, startRow)
+                elif element_type == "heading":
+                    startRow = self._addHeadingToExcel(sheet, element, styles, startRow)
+                elif element_type == "image":
+                    startRow = self._addImageToExcel(sheet, element, styles, startRow)
+                else:
+                    # Fallback: if element_type not set, use section_type
                     if section_type == "table":
                         startRow = self._addTableToExcel(sheet, element, styles, startRow)
                     elif section_type == "bullet_list" or section_type == "list":
@@ -733,36 +835,114 @@ class RendererXlsx(BaseRenderer):
             self.logger.warning(f"Could not add section to sheet: {str(e)}")
             return startRow + 1
     
+    def _sanitizeCellValue(self, value: Any) -> str:
+        """Sanitize cell value: remove markdown, convert to string, handle None."""
+        if value is None:
+            return ""
+        if isinstance(value, dict):
+            # Extract value from dict if present
+            return str(value.get("value", ""))
+        if isinstance(value, (int, float)):
+            return value  # Keep numbers as-is
+        # Convert to string and remove markdown formatting
+        text = str(value)
+        # Remove markdown bold (**text**)
+        text = text.replace("**", "")
+        # Remove markdown italic (*text*)
+        text = text.replace("*", "")
+        # Remove other markdown
+        text = text.replace("__", "").replace("_", "")
+        return text.strip()
+    
     def _addTableToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
-        """Add a table element to Excel sheet."""
+        """Add a table element to Excel sheet with proper formatting and borders."""
         try:
-            # In canonical JSON format, table elements have headers and rows directly
+            # Extract from nested content structure
-            headers = element.get("headers", [])
+            content = element.get("content", {})
-            rows = element.get("rows", [])
+            if not isinstance(content, dict):
+                return startRow
+            headers = content.get("headers", [])
+            rows = content.get("rows", [])
             
             if not headers and not rows:
                 return startRow
             
-            # Add headers
+            # Define border style
+            thin_border = Border(
+                left=Side(style='thin'),
+                right=Side(style='thin'),
+                top=Side(style='thin'),
+                bottom=Side(style='thin')
+            )
+            
+            headerRow = startRow
             header_style = styles.get("table_header", {})
+            
+            # Add headers with formatting
             for col, header in enumerate(headers, 1):
-                cell = sheet.cell(row=startRow, column=col, value=header)
+                sanitized_header = self._sanitizeCellValue(header)
-                if header_style.get("bold"):
+                cell = sheet.cell(row=headerRow, column=col, value=sanitized_header)
-                    cell.font = Font(bold=True, color=self._getSafeColor(header_style.get("text_color", "FF000000")))
+                
+                # Font styling
+                cell.font = Font(
+                    bold=header_style.get("bold", True),
+                    color=self._getSafeColor(header_style.get("text_color", "FF000000"))
+                )
+                
+                # Background color
                 if header_style.get("background"):
-                    cell.fill = PatternFill(start_color=self._getSafeColor(header_style["background"]), end_color=self._getSafeColor(header_style["background"]), fill_type="solid")
+                    cell.fill = PatternFill(
+                        start_color=self._getSafeColor(header_style["background"]),
+                        end_color=self._getSafeColor(header_style["background"]),
+                        fill_type="solid"
+                    )
+                
+                # Alignment
+                cell.alignment = Alignment(
+                    horizontal=header_style.get("align", "left"),
+                    vertical="center"
+                )
+                
+                # Border
+                cell.border = thin_border
             
             startRow += 1
             
-            # Add rows
+            # Add rows with formatting
             cell_style = styles.get("table_cell", {})
             for row_data in rows:
-                for col, cell_value in enumerate(row_data, 1):
+                # Handle different row formats
-                    cell = sheet.cell(row=startRow, column=col, value=cell_value)
+                if isinstance(row_data, list):
+                    cell_values = row_data
+                elif isinstance(row_data, dict) and "cells" in row_data:
+                    cell_values = [cell_obj.get("value", "") for cell_obj in row_data.get("cells", [])]
+                else:
+                    continue
+                
+                for col, cell_value in enumerate(cell_values, 1):
+                    sanitized_value = self._sanitizeCellValue(cell_value)
+                    cell = sheet.cell(row=startRow, column=col, value=sanitized_value)
+                    
+                    # Font styling
                     if cell_style.get("text_color"):
                         cell.font = Font(color=self._getSafeColor(cell_style["text_color"]))
+                    
+                    # Alignment
+                    cell.alignment = Alignment(
+                        horizontal=cell_style.get("align", "left"),
+                        vertical="center"
+                    )
+                    
+                    # Border
+                    cell.border = thin_border
+                
                 startRow += 1
             
+            # Auto-adjust column widths
+            for col in range(1, len(headers) + 1):
+                column_letter = get_column_letter(col)
+                sheet.column_dimensions[column_letter].width = 20
+            
             return startRow
             
         except Exception as e:
@@ -770,9 +950,13 @@ class RendererXlsx(BaseRenderer):
             return startRow + 1
     
     def _addListToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
-        """Add a list element to Excel sheet."""
+        """Add a list element to Excel sheet. Expects nested content structure."""
         try:
-            list_items = element.get("items", [])
+            # Extract from nested content structure
+            content = element.get("content", {})
+            if not isinstance(content, dict):
+                return startRow
+            list_items = content.get("items", [])
             
             list_style = styles.get("bullet_list", {})
             for item in list_items:
@@ -788,9 +972,16 @@ class RendererXlsx(BaseRenderer):
             return startRow + 1
     
     def _addParagraphToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
-        """Add a paragraph element to Excel sheet."""
+        """Add a paragraph element to Excel sheet. Expects nested content structure."""
         try:
-            text = element.get("text", "")
+            # Extract from nested content structure
+            content = element.get("content", {})
+            if isinstance(content, dict):
+                text = content.get("text", "")
+            elif isinstance(content, str):
+                text = content
+            else:
+                text = ""
             if text:
                 sheet.cell(row=startRow, column=1, value=text)
                 
@@ -807,10 +998,14 @@ class RendererXlsx(BaseRenderer):
             return startRow + 1
     
     def _addHeadingToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
-        """Add a heading element to Excel sheet."""
+        """Add a heading element to Excel sheet. Expects nested content structure."""
         try:
-            text = element.get("text", "")
+            # Extract from nested content structure
-            level = element.get("level", 1)
+            content = element.get("content", {})
+            if not isinstance(content, dict):
+                return startRow
+            text = content.get("text", "")
+            level = content.get("level", 1)
             
             if text:
                 sheet.cell(row=startRow, column=1, value=text)
@@ -835,11 +1030,15 @@ class RendererXlsx(BaseRenderer):
             return startRow + 1
     
     def _addImageToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
-        """Add an image element to Excel sheet using openpyxl."""
+        """Add an image element to Excel sheet using openpyxl. Expects nested content structure."""
         try:
-            base64Data = element.get("base64Data", "")
+            # Extract from nested content structure
-            altText = element.get("altText", "Image")
+            content = element.get("content", {})
-            caption = element.get("caption", "")
+            if not isinstance(content, dict):
+                return startRow
+            base64Data = content.get("base64Data", "")
+            altText = content.get("altText", "Image")
+            caption = content.get("caption", "")
             
             if not base64Data:
                 # No image data - add placeholder text
@@ -891,16 +1090,23 @@ class RendererXlsx(BaseRenderer):
                 return startRow + 1
                 
             except ImportError:
-                self.logger.warning("openpyxl.drawing.image not available, using placeholder")
+                self.logger.error("openpyxl.drawing.image not available, cannot embed image")
-                sheet.cell(row=startRow, column=1, value=f"[Image: {altText}]")
+                errorMsg = f"[Error: Image embedding not available. Image: {altText}]"
+                errorCell = sheet.cell(row=startRow, column=1, value=errorMsg)
+                errorCell.font = Font(color="FFFF0000", italic=True)  # Red color
                 return startRow + 1
             except Exception as imgError:
-                self.logger.warning(f"Error embedding image in Excel: {str(imgError)}")
+                self.logger.error(f"Error embedding image in Excel: {str(imgError)}")
-                sheet.cell(row=startRow, column=1, value=f"[Image: {altText}]")
+                errorMsg = f"[Error: Could not embed image '{altText}'. {str(imgError)}]"
+                errorCell = sheet.cell(row=startRow, column=1, value=errorMsg)
+                errorCell.font = Font(color="FFFF0000", italic=True)  # Red color
                 return startRow + 1
             
         except Exception as e:
-            self.logger.warning(f"Could not add image to Excel: {str(e)}")
+            self.logger.error(f"Error adding image to Excel: {str(e)}")
+            errorMsg = f"[Error: Could not process image. {str(e)}]"
+            errorCell = sheet.cell(row=startRow, column=1, value=errorMsg)
+            errorCell.font = Font(color="FFFF0000", italic=True)  # Red color
             return startRow + 1
 
     def _formatTimestamp(self) -> str:

modules/workflows/processing/adaptive/contentValidator.py

@@ -213,10 +213,21 @@ class ContentValidator:
                 sourceJson = getattr(doc, 'sourceJson', None)
                 data = getattr(doc, 'documentData', None)
                 
+                # WICHTIG: For rendered documents (HTML, PDF, DOCX, etc.), jsonStructure is METADATA about the structure,
+                # NOT the actual rendered content. The actual content is in documentData.
+                # Include both: jsonStructure for structure metadata, and contentPreview for actual content check
                 if sourceJson and isinstance(sourceJson, dict):
                     # Use source JSON for structure analysis (for rendered documents like xlsx/docx/pdf)
                     jsonSummary = self._summarizeJsonStructure(sourceJson)
                     summary["jsonStructure"] = jsonSummary
+                    # Add note that this is metadata, not actual content
+                    summary["note"] = "jsonStructure contains metadata about document structure. Actual rendered content is in documentData."
+                    
+                    # For rendered documents, also check actual content
+                    if data is not None:
+                        contentPreview = self._getContentPreview(data, formatExt, mimeType)
+                        if contentPreview:
+                            summary["contentPreview"] = contentPreview
                 elif data is not None:
                     # Fallback: try to parse documentData as JSON (for non-rendered documents)
                     if isinstance(data, dict):
@@ -227,6 +238,11 @@ class ContentValidator:
                         # Handle list of documents
                         jsonSummary = self._summarizeJsonStructure(data[0])
                         summary["jsonStructure"] = jsonSummary
+                    else:
+                        # For non-JSON data (e.g., rendered HTML), get content preview
+                        contentPreview = self._getContentPreview(data, formatExt, mimeType)
+                        if contentPreview:
+                            summary["contentPreview"] = contentPreview
                 
                 summaries.append(summary)
             except Exception as e:
@@ -295,6 +311,73 @@ class ContentValidator:
             bytes /= 1024.0
         return f"{bytes:.1f} TB"
     
+    def _getContentPreview(self, data: Any, formatExt: str, mimeType: str) -> Optional[Dict[str, Any]]:
+        """Get structural validation info for rendered documents (generic, NO content preview for security/privacy)
+        
+        Returns metadata about document structure to help validation distinguish between:
+        - Structure metadata (jsonStructure) - describes what should be rendered
+        - Actual rendered content (documentData) - the actual document file
+        
+        Does NOT expose actual content, only structural indicators.
+        """
+        try:
+            if data is None:
+                return None
+            
+            preview = {}
+            
+            # Generic content type detection
+            if isinstance(data, bytes):
+                preview["dataType"] = "bytes"
+                preview["contentLength"] = len(data)
+                # Check if it's likely text-based (for text formats like HTML, TXT, etc.)
+                try:
+                    # Try to decode as UTF-8 to check if it's text-based
+                    decoded = data.decode('utf-8', errors='strict')
+                    preview["isTextBased"] = True
+                    preview["contentLength"] = len(decoded)
+                    
+                    # For text-based formats, check if it looks like rendered content vs JSON metadata
+                    # JSON metadata typically starts with { or [ and contains structure keywords
+                    trimmed = decoded.strip()
+                    looksLikeJson = (trimmed.startswith('{') or trimmed.startswith('[')) and \
+                                   ('"sections"' in trimmed or '"contentPartIds"' in trimmed or '"generationHint"' in trimmed)
+                    preview["looksLikeRenderedContent"] = not looksLikeJson
+                    
+                except UnicodeDecodeError:
+                    # Not valid UTF-8, likely binary (PDF, DOCX, images, etc.)
+                    preview["isTextBased"] = False
+                    preview["isBinary"] = True
+                    # Binary files with content are rendered (not metadata)
+                    preview["looksLikeRenderedContent"] = True
+                    
+            elif isinstance(data, str):
+                preview["dataType"] = "string"
+                preview["isTextBased"] = True
+                preview["contentLength"] = len(data)
+                
+                # Check if it looks like rendered content vs JSON metadata
+                trimmed = data.strip()
+                looksLikeJson = (trimmed.startswith('{') or trimmed.startswith('[')) and \
+                               ('"sections"' in trimmed or '"contentPartIds"' in trimmed or '"generationHint"' in trimmed)
+                preview["looksLikeRenderedContent"] = not looksLikeJson
+                
+            elif isinstance(data, (dict, list)):
+                # If documentData is still a dict/list, it's likely structure metadata, not rendered content
+                preview["dataType"] = "json"
+                preview["isTextBased"] = True
+                preview["looksLikeRenderedContent"] = False
+                preview["note"] = "documentData is JSON structure, not rendered document file"
+            else:
+                preview["dataType"] = type(data).__name__
+                preview["contentLength"] = len(str(data)) if hasattr(data, '__len__') else 0
+            
+            return preview if preview else None
+            
+        except Exception as e:
+            logger.warning(f"Error getting content structure info: {str(e)}")
+            return None
+    
     
     def _isFormatCompatible(self, deliveredFormat: str, expectedFormat: str) -> bool:
         """
@@ -445,31 +528,23 @@ EXPECTED FORMATS: {expectedFormats if expectedFormats else ['any']}{actionContex
 
 === VALIDATION INSTRUCTIONS ===
 
-IMPORTANT: Different formats can represent the same data structure. Do not reject a format just because it differs from expected - check the structure summary for actual content.
+CRITICAL: Validate ONLY metadata/structure. Documents may be binary (PDF, DOCX, images) or very large (200MB+). NEVER try to read or validate actual content values.
 
 VALIDATION RULES:
-1. Use structure summary (sections, statistics, counts) as PRIMARY evidence for DATA-ORIENTED criteria. Trust structure over format claims.
+1. METADATA ONLY: Use jsonStructure (sections, contentPartIds, content_type, statistics) and contentPreview (dataType, contentLength, looksLikeRenderedContent) for validation. These are METADATA indicators, NOT actual content.
-2. Use ACTION HISTORY as PRIMARY evidence for PROCESS-ORIENTED criteria (e.g., "internet search performed", "sources cited"). Document metadata may only reflect the last action, not the entire workflow.
+2. FORMAT VALIDATION: Check mimeType/format metadata only. Do NOT inspect content to determine format. Format mismatch = wrong_format gap.
-3. For each criterion in criteriaMapping: evaluate ONLY that criterion. Do not mention other criteria.
+3. CONTENT EXISTENCE: Use contentPreview.looksLikeRenderedContent=true to confirm content exists. Use jsonStructure.content_type to confirm data types exist (e.g., "image" section = image exists). Do NOT validate content quality, accuracy, or completeness of actual data values.
-4. Priority: Data completeness > Format compatibility. Missing data is more critical than format mismatch.
+4. STRUCTURE VALIDATION: Use jsonStructure.sections, statistics (counts, rowCount, columnCount) as evidence. Trust structure metadata over format claims.
-5. Format understanding: Different formats can represent equivalent data structures. Focus on content, not format name.
+5. PROCESS VALIDATION: Use ACTION HISTORY for process-oriented criteria (e.g., "search performed", "extraction done").
-6. Multi-step workflow awareness: If ACTION HISTORY is present, consider the workflow as a whole. Document metadata (e.g., extraction_method) describes how data was EXTRACTED in the last step, not necessarily how it was OBTAINED in the workflow.
+6. ONE CRITERION PER EVALUATION: Evaluate each criterion independently. Do not mention other criteria.
-7. Data availability assessment: If delivered documents do not contain required data, clearly indicate this in findings. Re-reading the same documents might not help.
-8. CRITICAL - Data vs Data Description: When criteria require specific data types (e.g., images, tables, charts, files), distinguish between:
-   - ACTUAL DATA: The actual data itself (binary data, structured data, embedded content)
-   - DATA DESCRIPTIONS: Text fields that describe or specify what data should be created (e.g., "image_description", "table_description", "chart_specification") - these are TEXT METADATA, NOT the actual data
-   - If only descriptions/specifications exist but no actual data, the criterion is NOT met. Descriptions are instructions for creating data, not the data itself.
-   - Check content types in sections/elements: if content_type matches the required data type (e.g., "image" for images, "table" for tables), actual data exists. If only text fields describing the data exist, the data is missing.
-   - Check document statistics: if counts for the required data type are 0, the data is missing even if descriptions exist.
 
 VALIDATION STEPS:
-- Check ACTION HISTORY first (if present) for PROCESS-ORIENTED criteria (e.g., "search performed", "sources used", "verification done")
+- Check ACTION HISTORY for process-oriented criteria
-- Check ACTION VALIDATION METADATA (if present) - this contains action-specific context for the LAST action only
+- Check jsonStructure metadata (sections, content_type, statistics) for structure validation
-- Check structure summary for quantities, counts, statistics (for DATA-ORIENTED criteria)
+- Check contentPreview.looksLikeRenderedContent for content existence (not quality)
-- Compare found values with required values from criteria
+- Check mimeType/format for format validation
-- If structure unavailable, use metadata only (format, filename, size)
+- NEVER try to read actual content values (binary files, large files, data accuracy)
-- Classify gaps: missing_data (less than required), incomplete_data (partial), wrong_structure (wrong organization), wrong_format (format mismatch but data present)
+- Classify gaps: missing_data, incomplete_data, wrong_structure, wrong_format
-- Assess if documents contain the required data: If structure shows documents lack the data, note this in findings - data must be generated or obtained elsewhere, not re-extracted from same documents
 
 SCORING:
 - Data complete + structure matches → qualityScore: 0.9-1.0

modules/workflows/processing/shared/placeholderFactory.py

@@ -379,8 +379,34 @@ def extractLearningsAndImprovements(context: Any) -> str:
         return "No learnings available yet"
 
 def extractLatestRefinementFeedback(context: Any) -> str:
-    """Extract the latest refinement feedback. Maps to {{KEY:LATEST_REFINEMENT_FEEDBACK}}"""
+    """Extract the latest refinement feedback. Maps to {{KEY:LATEST_REFINEMENT_FEEDBACK}}
+    
+    CRITICAL: If ERROR level logs are found, refinement should stop processing.
+    """
     try:
+        # First check for ERROR level logs in workflow
+        if hasattr(context, 'workflow') and context.workflow:
+            try:
+                import modules.interfaces.interfaceDbChatObjects as interfaceDbChatObjects
+                from modules.interfaces.interfaceDbAppObjects import getRootInterface
+                rootInterface = getRootInterface()
+                interfaceDbChat = interfaceDbChatObjects.getInterface(rootInterface.currentUser)
+                
+                # Get workflow logs
+                chatData = interfaceDbChat.getUnifiedChatData(context.workflow.id, None)
+                logs = chatData.get("logs", [])
+                
+                # Check for ERROR level logs
+                for log in logs:
+                    if isinstance(log, dict):
+                        log_level = log.get("level", "").upper()
+                        log_message = str(log.get("message", ""))
+                        if log_level == "ERROR" or "ERROR" in log_message.upper():
+                            return f"CRITICAL: Processing stopped due to ERROR in logs: {log_message[:200]}"
+            except Exception as log_check_error:
+                # If we can't check logs, continue with normal feedback extraction
+                logger.warning(f"Could not check for ERROR logs: {str(log_check_error)}")
+        
         if not hasattr(context, 'previousReviewResult') or not context.previousReviewResult or not isinstance(context.previousReviewResult, list):
             return "No previous refinement feedback available"
         

tests/functional/test10_document_generation_formats.py

@@ -0,0 +1,541 @@
+#!/usr/bin/env python3
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+"""
+Document Generation Formats Test 10 - Tests document generation in DOCX, XLSX, PPTX, and PDF formats
+Tests professional document formats with various content types including tables, images, and structured data.
+"""
+
+import asyncio
+import json
+import sys
+import os
+import time
+import base64
+from typing import Dict, Any, List, Optional
+
+# Add the gateway to path (go up 2 levels from tests/functional/)
+_gateway_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
+if _gateway_path not in sys.path:
+    sys.path.insert(0, _gateway_path)
+
+# Import the service initialization
+from modules.services import getInterface as getServices
+from modules.datamodels.datamodelChat import UserInputRequest, WorkflowModeEnum
+from modules.datamodels.datamodelUam import User
+from modules.features.workflow import chatStart
+import modules.interfaces.interfaceDbChatObjects as interfaceDbChatObjects
+
+
+class DocumentGenerationFormatsTester10:
+    def __init__(self):
+        # Use root user for testing (has full access to everything)
+        from modules.interfaces.interfaceDbAppObjects import getRootInterface
+        rootInterface = getRootInterface()
+        self.testUser = rootInterface.currentUser
+        
+        # Initialize services using the existing system
+        self.services = getServices(self.testUser, None)  # Test user, no workflow
+        self.workflow = None
+        self.testResults = {}
+        self.generatedDocuments = {}
+        self.pdfFileId = None  # Store PDF file ID for reuse
+    
+    async def initialize(self):
+        """Initialize the test environment."""
+        # Enable debug file logging for tests
+        from modules.shared.configuration import APP_CONFIG
+        APP_CONFIG.set("APP_DEBUG_CHAT_WORKFLOW_ENABLED", True)
+        
+        # Set logging level to INFO to see workflow progress
+        import logging
+        logging.getLogger().setLevel(logging.INFO)
+        
+        print(f"Initialized test with user: {self.testUser.id}")
+        print(f"Mandate ID: {self.testUser.mandateId}")
+        print(f"Debug logging enabled: {APP_CONFIG.get('APP_DEBUG_CHAT_WORKFLOW_ENABLED', False)}")
+        
+        # Upload PDF file for testing
+        await self.uploadPdfFile()
+    
+    async def uploadPdfFile(self):
+        """Upload the PDF file and store its file ID."""
+        pdfPath = os.path.join(os.path.dirname(__file__), "..", "..", "..", "local", "temp", "B2025-02c.pdf")
+        pdfPath = os.path.abspath(pdfPath)
+        
+        if not os.path.exists(pdfPath):
+            print(f"⚠️ Warning: PDF file not found at {pdfPath}")
+            print("   Test will continue without PDF attachment")
+            return
+        
+        try:
+            # Read PDF file
+            with open(pdfPath, "rb") as f:
+                pdfContent = f.read()
+            
+            # Create file using services.interfaceDbComponent
+            if not hasattr(self.services, 'interfaceDbComponent') or not self.services.interfaceDbComponent:
+                print("⚠️ Warning: interfaceDbComponent not available in services")
+                print("   Test will continue without PDF attachment")
+                return
+            
+            interfaceDbComponent = self.services.interfaceDbComponent
+            
+            fileItem = interfaceDbComponent.createFile(
+                name="B2025-02c.pdf",
+                mimeType="application/pdf",
+                content=pdfContent
+            )
+            
+            # Store file data
+            interfaceDbComponent.createFileData(fileItem.id, pdfContent)
+            
+            self.pdfFileId = fileItem.id
+            print(f"✅ Uploaded PDF file: {fileItem.fileName} (ID: {self.pdfFileId}, Size: {len(pdfContent)} bytes)")
+            
+        except Exception as e:
+            import traceback
+            print(f"⚠️ Warning: Failed to upload PDF file: {str(e)}")
+            print(f"   Traceback: {traceback.format_exc()}")
+            print("   Test will continue without PDF attachment")
+    
+    def createTestPrompt(self, format: str) -> str:
+        """Create a test prompt for document generation in the specified format.
+        
+        The prompt requests:
+        - Professional document structure with title, sections, tables, and images
+        - Extraction of content from attached PDF
+        - Structured data presentation appropriate for the format
+        """
+        formatPrompts = {
+            "docx": (
+                "Create a professional Word document about 'Fuel Station Receipt Analysis' with:\n"
+                "1) A main title\n"
+                "2) An executive summary paragraph\n"
+                "3) Extract and include the image from the attached PDF document (B2025-02c.pdf)\n"
+                "4) A detailed analysis section with:\n"
+                "   - Bullet points of key findings\n"
+                "   - A table summarizing transaction details\n"
+                "5) A conclusion section with recommendations\n\n"
+                "Format as a professional DOCX document with proper headings and structure."
+            ),
+            "xlsx": (
+                "Create an Excel spreadsheet analyzing the fuel station receipt from the attached PDF (B2025-02c.pdf).\n"
+                "Include:\n"
+                "1) A summary sheet with key metrics\n"
+                "2) A detailed data sheet with:\n"
+                "   - Transaction details in rows\n"
+                "   - Columns for: Date, Item, Quantity, Price, Total\n"
+                "   - Proper formatting and headers\n"
+                "3) A calculations sheet with:\n"
+                "   - VAT calculations\n"
+                "   - Net and gross totals\n\n"
+                "Format as a professional XLSX spreadsheet with formulas and formatting."
+            ),
+            "pptx": (
+                "Create a PowerPoint presentation about 'Fuel Station Receipt Analysis' with:\n"
+                "1) Title slide with main title\n"
+                "2) Overview slide explaining the receipt analysis\n"
+                "3) Extract and include the image from the attached PDF document (B2025-02c.pdf)\n"
+                "4) Analysis slides with:\n"
+                "   - Bullet points of key findings\n"
+                "   - Visual representation of data\n"
+                "5) Conclusion slide with recommendations\n\n"
+                "Format as a professional PPTX presentation with consistent styling."
+            ),
+            "pdf": (
+                "Create a professional PDF document about 'Fuel Station Receipt Analysis' with:\n"
+                "1) A main title\n"
+                "2) An introduction paragraph explaining the receipt analysis\n"
+                "3) Extract and include the image from the attached PDF document (B2025-02c.pdf)\n"
+                "4) A section analyzing the receipt data with:\n"
+                "   - Bullet points of key findings\n"
+                "   - A table summarizing transaction details\n"
+                "5) A conclusion paragraph with recommendations\n\n"
+                "Format as a professional PDF document suitable for printing."
+            )
+        }
+        
+        return formatPrompts.get(format.lower(), formatPrompts["docx"])
+    
+    async def generateDocumentInFormat(self, format: str) -> Dict[str, Any]:
+        """Generate a document in the specified format using workflow."""
+        print("\n" + "="*80)
+        print(f"GENERATING DOCUMENT IN {format.upper()} FORMAT")
+        print("="*80)
+        
+        prompt = self.createTestPrompt(format)
+        print(f"Prompt: {prompt[:200]}...")
+        
+        # Create user input request with PDF file attachment
+        listFileId = []
+        if self.pdfFileId:
+            listFileId = [self.pdfFileId]
+            print(f"Attaching PDF file (ID: {self.pdfFileId})")
+        else:
+            print("⚠️ No PDF file attached (file upload may have failed)")
+        
+        # Create user input request
+        userInput = UserInputRequest(
+            prompt=prompt,
+            listFileId=listFileId,
+            userLanguage="en"
+        )
+        
+        # Start workflow
+        print(f"\nStarting workflow for {format.upper()} generation...")
+        workflow = await chatStart(
+            currentUser=self.testUser,
+            userInput=userInput,
+            workflowMode=WorkflowModeEnum.WORKFLOW_DYNAMIC,
+            workflowId=None
+        )
+        
+        if not workflow:
+            return {
+                "success": False,
+                "error": "Failed to start workflow"
+            }
+        
+        self.workflow = workflow
+        print(f"Workflow started: {workflow.id}")
+        
+        # Wait for workflow completion (no timeout - wait indefinitely)
+        print(f"Waiting for workflow completion...")
+        completed = await self.waitForWorkflowCompletion(timeout=None)
+        
+        if not completed:
+            return {
+                "success": False,
+                "error": "Workflow did not complete",
+                "workflowId": workflow.id,
+                "status": workflow.status if workflow else "unknown"
+            }
+        
+        # Analyze results
+        results = self.analyzeWorkflowResults()
+        
+        # Extract documents for this format
+        documents = results.get("documents", [])
+        formatDocuments = [d for d in documents if d.get("fileName", "").endswith(f".{format.lower()}")]
+        
+        return {
+            "success": True,
+            "format": format,
+            "workflowId": workflow.id,
+            "status": results.get("status"),
+            "documentCount": len(formatDocuments),
+            "documents": formatDocuments,
+            "results": results
+        }
+    
+    async def waitForWorkflowCompletion(self, timeout: Optional[int] = None, checkInterval: int = 2) -> bool:
+        """Wait for workflow to complete."""
+        if not self.workflow:
+            return False
+        
+        startTime = time.time()
+        lastStatus = None
+        
+        interfaceDbChat = interfaceDbChatObjects.getInterface(self.testUser)
+        
+        if timeout is None:
+            print("Waiting indefinitely (no timeout)")
+        
+        while True:
+            # Check timeout only if specified
+            if timeout is not None and time.time() - startTime > timeout:
+                print(f"\n⏱️ Timeout after {timeout} seconds")
+                return False
+            
+            # Get current workflow status
+            try:
+                currentWorkflow = interfaceDbChat.getWorkflow(self.workflow.id)
+                if not currentWorkflow:
+                    print("\n❌ Workflow not found")
+                    return False
+                
+                currentStatus = currentWorkflow.status
+                elapsed = int(time.time() - startTime)
+                
+                # Print status if it changed
+                if currentStatus != lastStatus:
+                    print(f"Workflow status: {currentStatus} (elapsed: {elapsed}s)")
+                    lastStatus = currentStatus
+                
+                # Check if workflow is complete
+                if currentStatus in ["completed", "stopped", "failed"]:
+                    self.workflow = currentWorkflow
+                    statusIcon = "✅" if currentStatus == "completed" else "❌"
+                    print(f"\n{statusIcon} Workflow finished with status: {currentStatus} (elapsed: {elapsed}s)")
+                    return currentStatus == "completed"
+                
+                # Wait before next check
+                await asyncio.sleep(checkInterval)
+                
+            except Exception as e:
+                print(f"\n⚠️ Error checking workflow status: {str(e)}")
+                await asyncio.sleep(checkInterval)
+    
+    def analyzeWorkflowResults(self) -> Dict[str, Any]:
+        """Analyze workflow results and extract information."""
+        if not self.workflow:
+            return {"error": "No workflow to analyze"}
+        
+        interfaceDbChat = interfaceDbChatObjects.getInterface(self.testUser)
+        workflow = interfaceDbChat.getWorkflow(self.workflow.id)
+        
+        if not workflow:
+            return {"error": "Workflow not found"}
+        
+        # Get unified chat data
+        chatData = interfaceDbChat.getUnifiedChatData(workflow.id, None)
+        
+        # Count messages
+        messages = chatData.get("messages", [])
+        userMessages = [m for m in messages if m.get("role") == "user"]
+        assistantMessages = [m for m in messages if m.get("role") == "assistant"]
+        
+        # Count documents
+        documents = chatData.get("documents", [])
+        
+        # Get logs
+        logs = chatData.get("logs", [])
+        
+        results = {
+            "workflowId": workflow.id,
+            "status": workflow.status,
+            "workflowMode": str(workflow.workflowMode) if hasattr(workflow, 'workflowMode') else None,
+            "currentRound": workflow.currentRound,
+            "totalTasks": workflow.totalTasks,
+            "totalActions": workflow.totalActions,
+            "messageCount": len(messages),
+            "userMessageCount": len(userMessages),
+            "assistantMessageCount": len(assistantMessages),
+            "documentCount": len(documents),
+            "logCount": len(logs),
+            "documents": documents,
+            "logs": logs
+        }
+        
+        print(f"\nWorkflow Results:")
+        print(f"  Status: {results['status']}")
+        print(f"  Tasks: {results['totalTasks']}")
+        print(f"  Actions: {results['totalActions']}")
+        print(f"  Messages: {results['messageCount']}")
+        print(f"  Documents: {results['documentCount']}")
+        
+        # Print document details
+        if documents:
+            print(f"\nGenerated Documents:")
+            for doc in documents:
+                fileName = doc.get("fileName", "unknown")
+                fileSize = doc.get("fileSize", 0)
+                mimeType = doc.get("mimeType", "unknown")
+                documentType = doc.get("documentType", "N/A")
+                print(f"  - {fileName} ({fileSize} bytes, {mimeType}, type: {documentType})")
+        
+        return results
+    
+    def verifyDocumentFormat(self, document: Dict[str, Any], expectedFormat: str) -> Dict[str, Any]:
+        """Verify that a document matches the expected format and contains expected metadata."""
+        fileName = document.get("fileName", "")
+        mimeType = document.get("mimeType", "")
+        fileSize = document.get("fileSize", 0)
+        documentType = document.get("documentType")
+        metadata = document.get("metadata")
+        
+        # Expected MIME types
+        expectedMimeTypes = {
+            "pdf": ["application/pdf"],
+            "docx": ["application/vnd.openxmlformats-officedocument.wordprocessingml.document"],
+            "xlsx": ["application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"],
+            "pptx": ["application/vnd.openxmlformats-officedocument.presentationml.presentation"]
+        }
+        
+        # Expected file extensions
+        expectedExtensions = {
+            "pdf": [".pdf"],
+            "docx": [".docx"],
+            "xlsx": [".xlsx"],
+            "pptx": [".pptx"]
+        }
+        
+        formatLower = expectedFormat.lower()
+        expectedMimes = expectedMimeTypes.get(formatLower, [])
+        expectedExts = expectedExtensions.get(formatLower, [])
+        
+        # Check file extension
+        hasCorrectExtension = any(fileName.lower().endswith(ext) for ext in expectedExts)
+        
+        # Check MIME type
+        hasCorrectMimeType = any(mimeType.lower() == mime.lower() for mime in expectedMimes)
+        
+        # Check file size (should be > 0)
+        hasValidSize = fileSize > 0
+        
+        # Check document type (should be present)
+        hasDocumentType = documentType is not None
+        
+        # Check metadata (should be present)
+        hasMetadata = metadata is not None and isinstance(metadata, dict)
+        
+        verification = {
+            "format": expectedFormat,
+            "fileName": fileName,
+            "mimeType": mimeType,
+            "fileSize": fileSize,
+            "documentType": documentType,
+            "hasMetadata": hasMetadata,
+            "hasCorrectExtension": hasCorrectExtension,
+            "hasCorrectMimeType": hasCorrectMimeType,
+            "hasValidSize": hasValidSize,
+            "hasDocumentType": hasDocumentType,
+            "isValid": hasCorrectExtension and hasValidSize and hasCorrectMimeType,
+            "isComplete": hasCorrectExtension and hasValidSize and hasCorrectMimeType and hasDocumentType and hasMetadata
+        }
+        
+        return verification
+    
+    async def testAllFormats(self) -> Dict[str, Any]:
+        """Test document generation in DOCX, XLSX, PPTX, and PDF formats."""
+        print("\n" + "="*80)
+        print("TESTING DOCUMENT GENERATION IN DOCX, XLSX, PPTX, AND PDF FORMATS")
+        print("="*80)
+        
+        formats = ["docx", "xlsx", "pptx", "pdf"]
+        results = {}
+        
+        for format in formats:
+            try:
+                print(f"\n{'='*80}")
+                print(f"Testing {format.upper()} format...")
+                print(f"{'='*80}")
+                
+                result = await self.generateDocumentInFormat(format)
+                results[format] = result
+                
+                if result.get("success"):
+                    documents = result.get("documents", [])
+                    if documents:
+                        # Verify first document
+                        verification = self.verifyDocumentFormat(documents[0], format)
+                        result["verification"] = verification
+                        
+                        print(f"\n✅ {format.upper()} generation successful!")
+                        print(f"   Documents: {len(documents)}")
+                        print(f"   Verification: {'✅ PASS' if verification['isValid'] else '❌ FAIL'}")
+                        print(f"   Complete (with metadata): {'✅ YES' if verification['isComplete'] else '❌ NO'}")
+                        if verification.get("fileName"):
+                            print(f"   File: {verification['fileName']}")
+                            print(f"   Size: {verification['fileSize']} bytes")
+                            print(f"   MIME: {verification['mimeType']}")
+                            print(f"   Document Type: {verification.get('documentType', 'N/A')}")
+                            print(f"   Has Metadata: {'✅' if verification.get('hasMetadata') else '❌'}")
+                    else:
+                        print(f"\n⚠️ {format.upper()} generation completed but no documents found")
+                else:
+                    error = result.get("error", "Unknown error")
+                    print(f"\n❌ {format.upper()} generation failed: {error}")
+                
+                # Small delay between tests
+                await asyncio.sleep(2)
+                
+            except Exception as e:
+                import traceback
+                print(f"\n❌ Error testing {format.upper()}: {str(e)}")
+                print(traceback.format_exc())
+                results[format] = {
+                    "success": False,
+                    "error": str(e),
+                    "traceback": traceback.format_exc()
+                }
+        
+        return results
+    
+    async def runTest(self):
+        """Run the complete test."""
+        print("\n" + "="*80)
+        print("DOCUMENT GENERATION FORMATS TEST 10 - DOCX, XLSX, PPTX, PDF")
+        print("="*80)
+        
+        try:
+            # Initialize
+            await self.initialize()
+            
+            # Test all formats
+            formatResults = await self.testAllFormats()
+            
+            # Summary
+            print("\n" + "="*80)
+            print("TEST SUMMARY")
+            print("="*80)
+            
+            # Format tests summary
+            print("\nFormat Tests:")
+            successCount = 0
+            failCount = 0
+            completeCount = 0  # Documents with metadata
+            
+            for format, result in formatResults.items():
+                if result.get("success"):
+                    successCount += 1
+                    verification = result.get("verification", {})
+                    isValid = verification.get("isValid", False)
+                    isComplete = verification.get("isComplete", False)
+                    if isComplete:
+                        completeCount += 1
+                    statusIcon = "✅" if isValid else "⚠️"
+                    completeIcon = "✅" if isComplete else "❌"
+                    docCount = result.get("documentCount", 0)
+                    print(f"{statusIcon} {format.upper():6s}: {'PASS' if isValid else 'FAIL'} - {docCount} document(s) - Metadata: {completeIcon}")
+                else:
+                    failCount += 1
+                    error = result.get("error", "Unknown error")
+                    print(f"❌ {format.upper():6s}: FAIL - {error}")
+            
+            print(f"\nFormat Tests: {successCount} passed, {failCount} failed out of {len(formatResults)} formats")
+            print(f"Complete Documents (with metadata): {completeCount} out of {successCount} successful generations")
+            
+            self.testResults = {
+                "success": failCount == 0,
+                "formatTests": {
+                    "successCount": successCount,
+                    "failCount": failCount,
+                    "completeCount": completeCount,
+                    "totalFormats": len(formatResults),
+                    "results": formatResults
+                },
+                "totalSuccess": successCount,
+                "totalFail": failCount
+            }
+            
+            return self.testResults
+            
+        except Exception as e:
+            import traceback
+            print(f"\n❌ Test failed with error: {type(e).__name__}: {str(e)}")
+            print(f"Traceback:\n{traceback.format_exc()}")
+            self.testResults = {
+                "success": False,
+                "error": str(e),
+                "traceback": traceback.format_exc()
+            }
+            return self.testResults
+
+
+async def main():
+    """Run document generation formats test 10."""
+    tester = DocumentGenerationFormatsTester10()
+    results = await tester.runTest()
+    
+    # Print final results as JSON for easy parsing
+    print("\n" + "="*80)
+    print("FINAL RESULTS (JSON)")
+    print("="*80)
+    print(json.dumps(results, indent=2, default=str))
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+