plan d implemented - generationn styles

modules/datamodels/datamodelAi.py

@@ -162,6 +162,7 @@ class AiCallOptions(BaseModel):
     
     # Provider filtering (from UI multiselect or automation config)
     allowedProviders: Optional[List[str]] = Field(default=None, description="List of allowed AI providers to use (empty = all RBAC-permitted)")
+    allowedModels: Optional[List[str]] = Field(default=None, description="Whitelist of allowed model names (AND-filter with allowedProviders). None/empty = all allowed.")
     
 
 class AiCallRequest(BaseModel):

modules/datamodels/datamodelJson.py

@@ -6,7 +6,7 @@ Unified JSON document schema and helpers used by both generation prompts and ren
 This defines a single canonical template and the supported section types.
 """
 
-from typing import List
+from typing import List, Literal, TypedDict
 
 # Canonical list of supported section types across the system
 supportedSectionTypes: List[str] = [
@@ -18,6 +18,21 @@ supportedSectionTypes: List[str] = [
     "image",
 ]
 
+class InlineRun(TypedDict, total=False):
+    """Single inline content run. Every paragraph/cell/list-item is a List[InlineRun]."""
+    type: Literal["text", "image", "link", "bold", "italic", "code"]
+    value: str          # text content (for text/bold/italic/code/link-label)
+    fileId: str         # for type=image: reference to FileItem
+    base64Data: str     # for type=image: resolved base64 (post-processing)
+    mimeType: str       # for type=image: e.g. "image/png"
+    widthPt: int        # for type=image: optional render width
+    href: str           # for type=link: URL target
+
+supportedInlineRunTypes: List[str] = [
+    "text", "image", "link", "bold", "italic", "code",
+]
+
+
 # Canonical JSON template used for AI generation (documents array + sections)
 # This template is used for STRUCTURE generation - sections have empty elements arrays.
 # For content generation, elements arrays will be populated later.

modules/features/graphicalEditor/nodeDefinitions/ai.py

@@ -3,6 +3,15 @@
 
 from modules.shared.i18nRegistry import t
 
+_AI_COMMON_PARAMS = [
+    {"name": "requireNeutralization", "type": "boolean", "required": False,
+     "frontendType": "checkbox", "default": False,
+     "description": t("Eingaben fuer diesen Call neutralisieren")},
+    {"name": "allowedModels", "type": "array", "required": False,
+     "frontendType": "modelMultiSelect", "default": [],
+     "description": t("Erlaubte LLM-Modelle (leer = alle erlaubten)")},
+]
+
 AI_NODES = [
     {
         "id": "ai.prompt",
@@ -19,7 +28,7 @@ AI_NODES = [
              "description": t("Dokumentenliste (via Wire oder DataRef)"), "default": ""},
             {"name": "simpleMode", "type": "boolean", "required": False, "frontendType": "checkbox",
              "description": t("Einfacher Modus"), "default": True},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": [
@@ -38,7 +47,7 @@ AI_NODES = [
         "parameters": [
             {"name": "prompt", "type": "string", "required": True, "frontendType": "textarea",
              "description": t("Recherche-Anfrage")},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["Transit"]}},
@@ -58,7 +67,7 @@ AI_NODES = [
             {"name": "summaryLength", "type": "string", "required": False, "frontendType": "select",
              "frontendOptions": {"options": ["brief", "medium", "detailed"]},
              "description": t("Kurz, mittel oder ausführlich"), "default": "medium"},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["DocumentList", "Transit"]}},
@@ -77,7 +86,7 @@ AI_NODES = [
              "description": t("Dokumentenliste (via Wire oder DataRef)"), "default": ""},
             {"name": "targetLanguage", "type": "string", "required": True, "frontendType": "text",
              "description": t("Zielsprache (z.B. de, en, French)")},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["DocumentList", "Transit"]}},
@@ -97,7 +106,7 @@ AI_NODES = [
             {"name": "targetFormat", "type": "string", "required": True, "frontendType": "select",
              "frontendOptions": {"options": ["docx", "pdf", "xlsx", "csv", "txt", "html", "json", "md"]},
              "description": t("Zielformat")},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["DocumentList", "Transit"]}},
@@ -114,7 +123,7 @@ AI_NODES = [
         "parameters": [
             {"name": "prompt", "type": "string", "required": True, "frontendType": "textarea",
              "description": t("Generierungs-Prompt")},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["Transit"]}},
@@ -134,7 +143,7 @@ AI_NODES = [
             {"name": "resultType", "type": "string", "required": False, "frontendType": "select",
              "frontendOptions": {"options": ["py", "js", "ts", "html", "java", "cpp", "txt", "json", "csv", "xml"]},
              "description": t("Datei-Endung der erzeugten Code-Datei"), "default": "py"},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["Transit"]}},
@@ -154,7 +163,7 @@ AI_NODES = [
              "description": t("Konsolidierungsmodus"), "default": "summarize"},
             {"name": "prompt", "type": "string", "required": False, "frontendType": "textarea",
              "description": t("Optionaler Prompt für die Konsolidierung"), "default": ""},
-        ],
+        ] + _AI_COMMON_PARAMS,
         "inputs": 1,
         "outputs": 1,
         "inputPorts": {0: {"accepts": ["AggregateResult", "Transit"]}},

modules/features/trustee/mainTrustee.py

@@ -361,6 +361,17 @@ QUICK_ACTIONS = [
 # The placeholder {{featureInstanceId}} is replaced by _copyTemplateWorkflows.
 # ---------------------------------------------------------------------------
 
+_FINANCE_STYLE_HINT = (
+    "\n\nWenn du ein Dokument erstellst, verwende einen professionellen Finanz-Stil:\n"
+    "- Schriftart: Calibri\n"
+    "- Primaerfarbe: #1F3864 (Dunkelblau)\n"
+    "- Akzentfarbe: #2980B9\n"
+    "- Tabellen mit dunklem Header (#1F3864, weisse Schrift)\n"
+    "- Konservatives, seriöses Layout\n"
+    "Nutze den style-Parameter von renderDocument um diese Vorgaben umzusetzen."
+)
+
+
 def _buildAnalysisWorkflowGraph(prompt: str) -> Dict[str, Any]:
     """Build a standard analysis graph: trigger -> refreshAccountingData -> ai.prompt."""
     return {
@@ -370,8 +381,9 @@ def _buildAnalysisWorkflowGraph(prompt: str) -> Dict[str, Any]:
              "parameters": {"featureInstanceId": "{{featureInstanceId}}", "forceRefresh": False}, "position": {"x": 250, "y": 0}},
             {"id": "analyse", "type": "ai.prompt", "label": "Analyse", "_method": "ai", "_action": "process",
              "parameters": {
-                 "aiPrompt": prompt,
+                 "aiPrompt": prompt + _FINANCE_STYLE_HINT,
                  "context": {"type": "ref", "nodeId": "refresh", "path": ["data", "accountingData"]},
+                 "requireNeutralization": True,
                  "simpleMode": False,
              }, "position": {"x": 500, "y": 0}},
         ],
@@ -454,10 +466,19 @@ TEMPLATE_WORKFLOWS = [
                          "Verwende die uebergebene Budget-Datei als Soll-Quelle und die im "
                          "Kontext bereitgestellten Buchhaltungsdaten als Ist-Quelle.\n"
                          "WICHTIG: Erstelle KEINEN separaten Chart pro Konto. Nur EIN "
-                         "Uebersichts-Chart ueber alle Konten ist gewuenscht."
+                         "Uebersichts-Chart ueber alle Konten ist gewuenscht.\n\n"
+                         "Hinweis: Das documentTheme ist 'finance'. Wenn du ein Dokument erstellst, "
+                         "verwende einen professionellen Finanz-Stil:\n"
+                         "- Schriftart: Calibri\n"
+                         "- Primaerfarbe: #1F3864 (Dunkelblau)\n"
+                         "- Akzentfarbe: #2980B9\n"
+                         "- Tabellen mit dunklem Header (#1F3864, weisse Schrift)\n"
+                         "- Konservatives, seriöses Layout\n"
+                         "Nutze den style-Parameter von renderDocument um diese Vorgaben umzusetzen."
                      ),
                      "resultType": "xlsx",
                      "documentTheme": "finance",
+                     "requireNeutralization": True,
                      "documentList": {"type": "ref", "nodeId": "trigger", "path": ["payload", "documentList"]},
                      "context": {"type": "ref", "nodeId": "refresh", "path": ["data", "accountingData"]},
                      "simpleMode": False,

modules/features/workspace/datamodelFeatureWorkspace.py

@@ -2,8 +2,8 @@
 # All rights reserved.
 """Workspace feature data models — WorkspaceUserSettings."""
 
-from typing import Optional
-from pydantic import BaseModel, Field
+from typing import List, Optional
+from pydantic import Field
 from modules.datamodels.datamodelBase import PowerOnModel
 from modules.shared.i18nRegistry import i18nModel
 import uuid
@@ -52,3 +52,18 @@ class WorkspaceUserSettings(PowerOnModel):
         description="Max agent rounds override (None = instance default)",
         json_schema_extra={"label": "Max. Agenten-Runden", "frontend_type": "number", "frontend_readonly": False, "frontend_required": False},
     )
+    requireNeutralization: bool = Field(
+        default=False,
+        description="Default neutralization setting for this user",
+        json_schema_extra={"label": "Neutralisierung", "frontend_type": "checkbox", "frontend_readonly": False, "frontend_required": False},
+    )
+    allowedProviders: List[str] = Field(
+        default_factory=list,
+        description="Allowed AI providers (empty = all permitted by RBAC)",
+        json_schema_extra={"label": "Erlaubte Provider", "frontend_type": "multiselect", "frontend_readonly": False, "frontend_required": False},
+    )
+    allowedModels: List[str] = Field(
+        default_factory=list,
+        description="Allowed AI models (empty = all permitted)",
+        json_schema_extra={"label": "Erlaubte Modelle", "frontend_type": "modelMultiSelect", "frontend_readonly": False, "frontend_required": False},
+    )

modules/features/workspace/routeFeatureWorkspace.py

@@ -110,6 +110,7 @@ class WorkspaceInputRequest(BaseModel):
     workflowId: Optional[str] = Field(default=None, description="Continue existing workflow")
     userLanguage: str = Field(default="en", description="User language code")
     allowedProviders: List[str] = Field(default_factory=list, description="Restrict AI to these providers")
+    allowedModels: List[str] = Field(default_factory=list, description="Restrict AI to these models")
     requireNeutralization: Optional[bool] = Field(default=None, description="Per-request neutralization override")
 
 
@@ -635,6 +636,7 @@ async def streamWorkspaceStart(
             userLanguage=userInput.userLanguage,
             instanceConfig=instanceConfig,
             allowedProviders=userInput.allowedProviders,
+            allowedModels=userInput.allowedModels,
             requireNeutralization=userInput.requireNeutralization,
             billingFeatureCode=wsBillingFeatureCode,
         )
@@ -692,6 +694,7 @@ async def _runWorkspaceAgent(
     userLanguage: str = "en",
     instanceConfig: Dict[str, Any] = None,
     allowedProviders: List[str] = None,
+    allowedModels: List[str] = None,
     requireNeutralization: Optional[bool] = None,
     billingFeatureCode: Optional[str] = None,
 ):
@@ -715,6 +718,9 @@ async def _runWorkspaceAgent(
             logger.info(f"Workspace agent: allowedProviders={allowedProviders}")
         else:
             logger.debug("Workspace agent: no allowedProviders in request")
+        if allowedModels:
+            aiService.services.allowedModels = allowedModels
+            logger.info(f"Workspace agent: allowedModels={allowedModels}")
         if requireNeutralization is not None:
             ctx.requireNeutralization = requireNeutralization
 
@@ -2139,6 +2145,76 @@ async def updateGeneralSettings(
     return await getGeneralSettings(request, instanceId, context)
 
 
+# =========================================================================
+# User-level AI settings (neutralisation, providers, models)
+# =========================================================================
+
+@router.get("/{instanceId}/user-settings")
+@limiter.limit("120/minute")
+async def getWorkspaceUserSettings(
+    request: Request,
+    instanceId: str = Path(...),
+    context: RequestContext = Depends(getRequestContext),
+):
+    """Get the current user's workspace AI settings (auto-creates with defaults if not exists)."""
+    _mandateId, _ = _validateInstanceAccess(instanceId, context)
+    wsInterface = _getWorkspaceInterface(context, instanceId)
+    userId = str(context.user.id)
+
+    settings = wsInterface.getWorkspaceUserSettings(userId)
+    if settings:
+        return JSONResponse({
+            "requireNeutralization": settings.requireNeutralization,
+            "allowedProviders": settings.allowedProviders,
+            "allowedModels": settings.allowedModels,
+        })
+
+    data = {
+        "userId": userId,
+        "mandateId": str(context.mandateId) if context.mandateId else "",
+        "featureInstanceId": instanceId,
+    }
+    created = wsInterface.saveWorkspaceUserSettings(data)
+    return JSONResponse({
+        "requireNeutralization": created.requireNeutralization,
+        "allowedProviders": created.allowedProviders,
+        "allowedModels": created.allowedModels,
+    })
+
+
+@router.put("/{instanceId}/user-settings")
+@limiter.limit("120/minute")
+async def putWorkspaceUserSettings(
+    request: Request,
+    instanceId: str = Path(...),
+    body: dict = Body(...),
+    context: RequestContext = Depends(getRequestContext),
+):
+    """Save the current user's workspace AI settings."""
+    _mandateId, _ = _validateInstanceAccess(instanceId, context)
+    wsInterface = _getWorkspaceInterface(context, instanceId)
+    userId = str(context.user.id)
+
+    data = {
+        "userId": userId,
+        "mandateId": str(context.mandateId) if context.mandateId else "",
+        "featureInstanceId": instanceId,
+    }
+    if "requireNeutralization" in body:
+        data["requireNeutralization"] = bool(body["requireNeutralization"])
+    if "allowedProviders" in body:
+        data["allowedProviders"] = body["allowedProviders"]
+    if "allowedModels" in body:
+        data["allowedModels"] = body["allowedModels"]
+
+    saved = wsInterface.saveWorkspaceUserSettings(data)
+    return JSONResponse({
+        "requireNeutralization": saved.requireNeutralization,
+        "allowedProviders": saved.allowedProviders,
+        "allowedModels": saved.allowedModels,
+    })
+
+
 # =========================================================================
 # RAG / Knowledge — anonymised instance statistics (presentation / KPIs)
 # =========================================================================

modules/interfaces/interfaceAiObjects.py

@@ -111,6 +111,19 @@ class AiObjects:
                     processingTime=0.0, bytesSent=0, bytesReceived=0, errorCount=1,
                 )
         
+        allowedModels = getattr(options, 'allowedModels', None) if options else None
+        if allowedModels:
+            filteredModels = [m for m in availableModels if m.name in allowedModels]
+            if filteredModels:
+                availableModels = filteredModels
+            else:
+                errorMsg = f"No models match allowedModels {allowedModels} (providers={allowedProviders}) for operation {options.operationType}"
+                logger.error(errorMsg)
+                return AiCallResponse(
+                    content=errorMsg, modelName="error", priceCHF=0.0,
+                    processingTime=0.0, bytesSent=0, bytesReceived=0, errorCount=1,
+                )
+        
         failoverModelList = modelSelector.getFailoverModelList(prompt, context, options, availableModels)
         
         if not failoverModelList:
@@ -364,6 +377,19 @@ class AiObjects:
                 )
                 return
 
+        allowedModels = getattr(options, 'allowedModels', None) if options else None
+        if allowedModels:
+            filtered = [m for m in availableModels if m.name in allowedModels]
+            if filtered:
+                availableModels = filtered
+            else:
+                yield AiCallResponse(
+                    content=f"No models match allowedModels {allowedModels} (providers={allowedProviders}) for operation {options.operationType}",
+                    modelName="error", priceCHF=0.0, processingTime=0.0,
+                    bytesSent=0, bytesReceived=0, errorCount=1,
+                )
+                return
+
         failoverModelList = modelSelector.getFailoverModelList(
             request.prompt, request.context or "", options, availableModels
         )
@@ -516,6 +542,14 @@ class AiObjects:
             else:
                 logger.warning(f"No embedding models match allowedProviders {allowedProviders}")
 
+        allowedModels = getattr(options, 'allowedModels', None) if options else None
+        if allowedModels:
+            filtered = [m for m in availableModels if m.name in allowedModels]
+            if filtered:
+                availableModels = filtered
+            else:
+                logger.warning(f"No embedding models match allowedModels {allowedModels}")
+
         failoverModelList = modelSelector.getFailoverModelList(
             combinedText, "", options, availableModels
         )

modules/serviceCenter/services/serviceAgent/coreTools/_mediaTools.py

@@ -25,142 +25,11 @@ def _registerMediaTools(registry: ToolRegistry, services):
     # ---- Document rendering tool ----
 
     def _markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> Dict[str, Any]:
-        """Convert markdown content to the standard document JSON format expected by renderers."""
-        import re as _re
-
-        sections = []
-        order = 0
-        lines = markdown.split("\n")
-        i = 0
-
-        def _nextId():
-            nonlocal order
-            order += 1
-            return f"s_{order}"
-
-        while i < len(lines):
-            line = lines[i]
-
-            # --- Headings ---
-            headingMatch = _re.match(r'^(#{1,6})\s+(.+)', line)
-            if headingMatch:
-                level = len(headingMatch.group(1))
-                text = headingMatch.group(2).strip()
-                sections.append({
-                    "id": _nextId(), "content_type": "heading", "order": order,
-                    "elements": [{"content": {"text": text, "level": level}}],
-                })
-                i += 1
-                continue
-
-            # --- Fenced code blocks ---
-            codeMatch = _re.match(r'^```(\w*)', line)
-            if codeMatch:
-                lang = codeMatch.group(1) or "text"
-                codeLines = []
-                i += 1
-                while i < len(lines) and not lines[i].startswith("```"):
-                    codeLines.append(lines[i])
-                    i += 1
-                i += 1
-                sections.append({
-                    "id": _nextId(), "content_type": "code_block", "order": order,
-                    "elements": [{"content": {"code": "\n".join(codeLines), "language": lang}}],
-                })
-                continue
-
-            # --- Tables ---
-            tableMatch = _re.match(r'^\|(.+)\|$', line)
-            if tableMatch and (i + 1) < len(lines) and _re.match(r'^\|[\s\-:|]+\|$', lines[i + 1]):
-                headerCells = [c.strip() for c in tableMatch.group(1).split("|")]
-                i += 2
-                rows = []
-                while i < len(lines) and _re.match(r'^\|(.+)\|$', lines[i]):
-                    rowCells = [c.strip() for c in lines[i][1:-1].split("|")]
-                    rows.append(rowCells)
-                    i += 1
-                sections.append({
-                    "id": _nextId(), "content_type": "table", "order": order,
-                    "elements": [{"content": {"headers": headerCells, "rows": rows}}],
-                })
-                continue
-
-            # --- Bullet / numbered lists ---
-            listMatch = _re.match(r'^(\s*)([-*+]|\d+[.)]) (.+)', line)
-            if listMatch:
-                isNumbered = bool(_re.match(r'\d+[.)]', listMatch.group(2)))
-                items = []
-                while i < len(lines) and _re.match(r'^(\s*)([-*+]|\d+[.)]) (.+)', lines[i]):
-                    m = _re.match(r'^(\s*)([-*+]|\d+[.)]) (.+)', lines[i])
-                    items.append({"text": m.group(3).strip()})
-                    i += 1
-                sections.append({
-                    "id": _nextId(), "content_type": "bullet_list", "order": order,
-                    "elements": [{"content": {"items": items, "list_type": "numbered" if isNumbered else "bullet"}}],
-                })
-                continue
-
-            # --- Empty lines (skip) ---
-            if not line.strip():
-                i += 1
-                continue
-
-            # --- Images: ![alt](file:fileId) or ![alt](url) ---
-            imgMatch = _re.match(r'^!\[([^\]]*)\]\(([^)]+)\)', line)
-            if imgMatch:
-                altText = imgMatch.group(1).strip() or "Image"
-                src = imgMatch.group(2).strip()
-                fileId = ""
-                if src.startswith("file:"):
-                    fileId = src[5:]
-                sections.append({
-                    "id": _nextId(), "content_type": "image", "order": order,
-                    "elements": [{
-                        "content": {
-                            "altText": altText,
-                            "base64Data": "",
-                            "_fileRef": fileId,
-                            "_srcUrl": src if not fileId else "",
-                        }
-                    }],
-                })
-                i += 1
-                continue
-
-            # --- Paragraph (collect consecutive non-empty lines) ---
-            paraLines = []
-            while i < len(lines) and lines[i].strip() and not _re.match(r'^(#{1,6}\s|```|\|.+\||!\[|(\s*)([-*+]|\d+[.)]) )', lines[i]):
-                paraLines.append(lines[i])
-                i += 1
-            if paraLines:
-                sections.append({
-                    "id": _nextId(), "content_type": "paragraph", "order": order,
-                    "elements": [{"content": {"text": " ".join(paraLines)}}],
-                })
-                continue
-
-            i += 1
-
-        if not sections:
-            sections.append({
-                "id": _nextId(), "content_type": "paragraph", "order": order,
-                "elements": [{"content": {"text": markdown.strip() or "(empty)"}}],
-            })
-
-        return {
-            "metadata": {
-                "split_strategy": "single_document",
-                "source_documents": [],
-                "extraction_method": "agent_rendering",
-                "title": title,
-                "language": language,
-            },
-            "documents": [{
-                "id": "doc_1",
-                "title": title,
-                "sections": sections,
-            }],
-        }
+        """Delegate to the consolidated parser in subDocumentUtility."""
+        from modules.serviceCenter.services.serviceGeneration.subDocumentUtility import markdownToDocumentJson
+        result = markdownToDocumentJson(markdown, title, language)
+        result["metadata"]["extraction_method"] = "agent_rendering"
+        return result
 
     async def _renderDocument(args: Dict[str, Any], context: Dict[str, Any]):
         """Render agent-produced markdown content into any document format via the RendererRegistry."""
@@ -245,35 +114,75 @@ def _registerMediaTools(registry: ToolRegistry, services):
             except Exception as e:
                 logger.warning(f"renderDocument: knowledge service unavailable: {e}")
             resolvedImages = 0
+
+            def _resolveImageRef(targetObj, fileRefKey="_fileRef", fileIdKey="fileId"):
+                """Resolve a single image reference dict to base64Data in-place."""
+                nonlocal resolvedImages
+                fileRef = targetObj.get(fileRefKey, "") or targetObj.get(fileIdKey, "")
+                if not fileRef or targetObj.get("base64Data"):
+                    return
+                if knowledgeService:
+                    chunks = knowledgeService._knowledgeDb.getContentChunks(fileRef)
+                    imageChunks = [c for c in (chunks or []) if c.get("contentType") == "image"]
+                    if imageChunks:
+                        targetObj["base64Data"] = imageChunks[0].get("data", "")
+                        chunkMime = imageChunks[0].get("contextRef", {}).get("mimeType", "image/png")
+                        targetObj["mimeType"] = chunkMime
+                        resolvedImages += 1
+                if not targetObj.get("base64Data"):
+                    try:
+                        rawBytes = services.chat.getFileData(fileRef)
+                        if rawBytes:
+                            import base64 as _b64
+                            targetObj["base64Data"] = _b64.b64encode(rawBytes).decode("ascii")
+                            targetObj["mimeType"] = "image/png"
+                            resolvedImages += 1
+                    except Exception as e:
+                        logger.warning(f"renderDocument: image resolve failed for fileRef={fileRef}: {e}")
+                targetObj.pop("_fileRef", None)
+                targetObj.pop("_srcUrl", None)
+
+            def _resolveInlineRuns(runsList):
+                """Scan a list of inline runs and resolve any image runs with fileId."""
+                for run in runsList:
+                    if run.get("type") == "image" and run.get("fileId") and not run.get("base64Data"):
+                        _resolveImageRef(run, fileRefKey="fileId", fileIdKey="fileId")
+
             for doc in structuredContent.get("documents", []):
                 for section in doc.get("sections", []):
-                    if section.get("content_type") != "image":
+                    cType = section.get("content_type")
+                    # Block-level image sections
+                    if cType == "image":
+                        for element in section.get("elements", []):
+                            contentObj = element.get("content", {})
+                            _resolveImageRef(contentObj)
                         continue
-                    for element in section.get("elements", []):
-                        contentObj = element.get("content", {})
-                        fileRef = contentObj.get("_fileRef", "")
-                        if not fileRef or contentObj.get("base64Data"):
-                            continue
-                        if knowledgeService:
-                            chunks = knowledgeService._knowledgeDb.getContentChunks(fileRef)
-                            imageChunks = [c for c in (chunks or []) if c.get("contentType") == "image"]
-                            if imageChunks:
-                                contentObj["base64Data"] = imageChunks[0].get("data", "")
-                                chunkMime = imageChunks[0].get("contextRef", {}).get("mimeType", "image/png")
-                                contentObj["mimeType"] = chunkMime
-                                resolvedImages += 1
-                        if not contentObj.get("base64Data"):
-                            try:
-                                rawBytes = services.chat.getFileData(fileRef)
-                                if rawBytes:
-                                    import base64 as _b64
-                                    contentObj["base64Data"] = _b64.b64encode(rawBytes).decode("ascii")
-                                    contentObj["mimeType"] = "image/png"
-                                    resolvedImages += 1
-                            except Exception as e:
-                                logger.warning(f"renderDocument: image resolve failed for fileRef={fileRef}: {e}")
-                        contentObj.pop("_fileRef", None)
-                        contentObj.pop("_srcUrl", None)
+                    # Paragraphs with inlineRuns
+                    if cType == "paragraph":
+                        for element in section.get("elements", []):
+                            runs = element.get("content", {}).get("inlineRuns")
+                            if runs:
+                                _resolveInlineRuns(runs)
+                        continue
+                    # Bullet lists - items are List[List[InlineRun]]
+                    if cType == "bullet_list":
+                        for element in section.get("elements", []):
+                            items = element.get("content", {}).get("items", [])
+                            for item in items:
+                                if isinstance(item, list):
+                                    _resolveInlineRuns(item)
+                        continue
+                    # Tables - headers and row cells are List[InlineRun]
+                    if cType == "table":
+                        for element in section.get("elements", []):
+                            contentObj = element.get("content", {})
+                            for cell in contentObj.get("headers", []):
+                                if isinstance(cell, list):
+                                    _resolveInlineRuns(cell)
+                            for row in contentObj.get("rows", []):
+                                for cell in row:
+                                    if isinstance(cell, list):
+                                        _resolveInlineRuns(cell)
 
             sectionCount = len(structuredContent.get("documents", [{}])[0].get("sections", []))
             logger.info(f"renderDocument: parsed {sectionCount} sections from markdown ({len(content)} chars), resolved {resolvedImages} image(s), format={outputFormat}")
@@ -285,6 +194,7 @@ def _registerMediaTools(registry: ToolRegistry, services):
                 language=language,
                 title=title,
                 userPrompt=content,
+                style=args.get("style"),
             )
 
             if not documents:
@@ -367,6 +277,20 @@ def _registerMediaTools(registry: ToolRegistry, services):
                 "outputFormat": {"type": "string", "description": "Target format: pdf, docx, xlsx, pptx, csv, html, md, json, txt", "default": "pdf"},
                 "title": {"type": "string", "description": "Document title", "default": "Document"},
                 "language": {"type": "string", "description": "Document language (ISO 639-1)", "default": "de"},
+                "style": {
+                    "type": "object",
+                    "description": (
+                        "Optional style overrides for the rendered document. Supports nested keys: "
+                        "fonts (primary, monospace), colors (primary, secondary, accent, background), "
+                        "headings (h1-h4 with sizePt, weight, color, spaceBeforePt, spaceAfterPt), "
+                        "paragraph (sizePt, lineSpacing, color), table (headerBg, headerFg, headerSizePt, "
+                        "bodySizePt, rowBandingEven, rowBandingOdd, borderColor, borderWidthPt), "
+                        "list (bulletChar, indentPt, sizePt), image (defaultWidthPt, maxWidthPt, alignment), "
+                        "codeBlock (fontSizePt, background, borderColor), "
+                        "page (format, marginsPt, showPageNumbers, headerHeight, footerHeight, headerLogo, headerText, footerText). "
+                        "Only provided keys override defaults; omitted keys keep their default values."
+                    ),
+                },
             },
         },
         readOnly=False,

modules/serviceCenter/services/serviceAi/mainServiceAi.py

@@ -86,7 +86,7 @@ class _ServicesAdapter:
         return getattr(w, "featureCode", None) if w else None
 
     def __getattr__(self, name: str):
-        if name in ("allowedProviders", "preferredProviders", "currentUserLanguage"):
+        if name in ("allowedProviders", "allowedModels", "preferredProviders", "currentUserLanguage"):
             return getattr(self.workflow, name, None) if self.workflow else None
         raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
 
@@ -177,6 +177,11 @@ class AiService:
             request.options = request.options.model_copy(update={'allowedProviders': effectiveProviders})
             logger.debug(f"Effective allowedProviders for AI request: {effectiveProviders}")
         
+        # Calculate effective allowedModels: Workflow ∩ Request (node-level)
+        effectiveModels = self._calculateEffectiveModels(request)
+        if effectiveModels and request.options:
+            request.options = request.options.model_copy(update={'allowedModels': effectiveModels})
+        
         # Neutralize prompt if enabled (before AI call)
         _wasNeutralized = False
         _excludedDocs: List[str] = []
@@ -225,6 +230,11 @@ class AiService:
         if effectiveProviders and request.options:
             request.options = request.options.model_copy(update={'allowedProviders': effectiveProviders})
 
+        # Calculate effective allowedModels: Workflow ∩ Request (node-level)
+        effectiveModels = self._calculateEffectiveModels(request)
+        if effectiveModels and request.options:
+            request.options = request.options.model_copy(update={'allowedModels': effectiveModels})
+
         # Neutralize prompt if enabled (before streaming)
         _wasNeutralized = False
         _excludedDocs: List[str] = []
@@ -1240,6 +1250,43 @@ detectedIntent-Werte:
             logger.warning(f"Error calculating effective providers: {e}")
             return None
 
+    def _calculateEffectiveModels(self, request: AiCallRequest = None) -> Optional[List[str]]:
+        """
+        Calculate effective allowed models: Workflow.allowedModels ∩ request.options.allowedModels.
+        
+        AND-logic intersection:
+        - If workflow specifies allowedModels, start with those.
+        - If request (node-level) also specifies allowedModels, intersect.
+        - Returns None if no model filtering is needed.
+        """
+        try:
+            effectiveModels = None
+
+            # Workflow-level allowedModels (from automation config)
+            workflowModels = getattr(self.services, 'allowedModels', None)
+            if workflowModels:
+                effectiveModels = list(workflowModels)
+
+            # Request-level (node-level) allowedModels
+            requestModels = None
+            if request and request.options and request.options.allowedModels:
+                requestModels = request.options.allowedModels
+
+            if requestModels:
+                if effectiveModels:
+                    effectiveModels = [m for m in effectiveModels if m in requestModels]
+                else:
+                    effectiveModels = list(requestModels)
+
+            if effectiveModels:
+                logger.debug(f"Model filter: Workflow={workflowModels}, Request={requestModels}, Effective={effectiveModels}")
+
+            return effectiveModels if effectiveModels else None
+
+        except Exception as e:
+            logger.warning(f"Error calculating effective models: {e}")
+            return None
+
     async def ensureAiObjectsInitialized(self):
         """Ensure aiObjects is initialized and submodules are ready."""
         if self.aiObjects is None:

modules/serviceCenter/services/serviceGeneration/mainServiceGeneration.py

@@ -14,6 +14,7 @@ from .subDocumentUtility import (
     detectMimeTypeFromData,
     convertDocumentDataToString
 )
+from .styleDefaults import resolveStyle
 
 logger = logging.getLogger(__name__)
 
@@ -382,7 +383,7 @@ class GenerationService:
                 'workflowId': 'unknown'
             }
 
-    async def renderReport(self, extractedContent: Dict[str, Any], outputFormat: str, language: str, title: str, userPrompt: str = None, aiService=None, parentOperationId: Optional[str] = None) -> List[RenderedDocument]:
+    async def renderReport(self, extractedContent: Dict[str, Any], outputFormat: str, language: str, title: str, userPrompt: str = None, aiService=None, parentOperationId: Optional[str] = None, style: Optional[Dict[str, Any]] = None) -> List[RenderedDocument]:
         """
         Render extracted JSON content to the specified output format.
         Processes EACH document separately and calls renderer for each.
@@ -399,12 +400,14 @@ class GenerationService:
             userPrompt: User's original prompt for report generation
             aiService: AI service instance for generation prompt creation
             parentOperationId: Optional parent operation ID for hierarchical logging
+            style: Optional style overrides (deep-merged with DEFAULT_STYLE)
             
         Returns:
             List of RenderedDocument objects.
             Each RenderedDocument represents one rendered file (main document or supporting file)
         """
         try:
+            resolvedStyle = resolveStyle(style)
             # Validate JSON input
             if not isinstance(extractedContent, dict):
                 raise ValueError("extractedContent must be a JSON dictionary")
@@ -469,7 +472,7 @@ class GenerationService:
                 docTitle = doc.get("title", title)
                 
                 # Render this document (can return multiple files, e.g., HTML + images)
-                renderedDocs = await renderer.render(singleDocContent, docTitle, userPrompt, aiService)
+                renderedDocs = await renderer.render(singleDocContent, docTitle, userPrompt, aiService, style=resolvedStyle)
                 allRenderedDocuments.extend(renderedDocs)
             
             logger.info(f"Rendered {len(documents)} document(s) into {len(allRenderedDocuments)} file(s)")

modules/serviceCenter/services/serviceGeneration/renderers/documentRendererBaseTemplate.py

@@ -84,7 +84,7 @@ class BaseRenderer(ABC):
         return list(supportedSectionTypes)
     
     @abstractmethod
-    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> List[RenderedDocument]:
+    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> List[RenderedDocument]:
         """
         Render extracted JSON content to multiple documents.
         Each renderer must implement this method.
@@ -95,6 +95,9 @@ class BaseRenderer(ABC):
             title: Report title
             userPrompt: Original user prompt for context
             aiService: AI service instance for additional processing
+            style: Fully-resolved unified style dict from styleDefaults.resolveStyle().
+                   When provided, renderers use these values instead of their
+                   own defaults / AI-generated styles.
             
         Returns:
             List of RenderedDocument objects.
@@ -102,6 +105,112 @@ class BaseRenderer(ABC):
             Even if only one document is returned, it must be wrapped in a list.
         """
         pass
+
+    def _convertUnifiedStyleToInternal(self, style: Dict[str, Any]) -> Dict[str, Any]:
+        """Convert the unified resolvedStyle dict (from styleDefaults) into
+        the renderer-internal style-set format that all rendering methods already
+        consume.  Override in subclasses for format-specific tweaks."""
+        h1 = style["headings"]["h1"]
+        h2 = style["headings"]["h2"]
+        h3 = style["headings"].get("h3", h2)
+        h4 = style["headings"].get("h4", h3)
+        tbl = style["table"]
+        para = style["paragraph"]
+        lst = style["list"]
+        cb = style["codeBlock"]
+        return {
+            "title": {
+                "font_size": h1["sizePt"], "color": h1["color"],
+                "bold": h1.get("weight") == "bold", "align": "left",
+            },
+            "heading1": {
+                "font_size": h1["sizePt"], "color": h1["color"],
+                "bold": h1.get("weight") == "bold", "align": "left",
+            },
+            "heading2": {
+                "font_size": h2["sizePt"], "color": h2["color"],
+                "bold": h2.get("weight") == "bold", "align": "left",
+            },
+            "heading3": {
+                "font_size": h3["sizePt"], "color": h3["color"],
+                "bold": h3.get("weight") == "bold", "align": "left",
+            },
+            "heading4": {
+                "font_size": h4["sizePt"], "color": h4["color"],
+                "bold": h4.get("weight") == "bold", "align": "left",
+            },
+            "paragraph": {
+                "font_size": para["sizePt"], "color": para["color"],
+                "bold": False, "align": "left",
+            },
+            "table_header": {
+                "background": tbl["headerBg"], "text_color": tbl["headerFg"],
+                "bold": True, "align": "center",
+            },
+            "table_cell": {
+                "background": tbl["rowBandingOdd"], "text_color": para["color"],
+                "bold": False, "align": "left",
+            },
+            "table_border": {
+                "style": "grid", "color": tbl["borderColor"],
+            },
+            "bullet_list": {
+                "font_size": lst["sizePt"], "color": para["color"],
+                "indent": lst["indentPt"],
+            },
+            "code_block": {
+                "font": style["fonts"]["monospace"],
+                "font_size": cb["fontSizePt"], "color": para["color"],
+                "background": cb["background"],
+            },
+        }
+
+    @staticmethod
+    def _inlineRunsFromContent(content: Dict[str, Any], *, itemsKey: str = None) -> Any:
+        """Extract inline runs from new-format content, falling back to old format.
+
+        For paragraphs (itemsKey=None):
+            new: content["inlineRuns"]  -> List[InlineRun]
+            old: content["text"]        -> wrapped in [{"type":"text","value":text}]
+
+        For list items (itemsKey="items"):
+            new: content["items"] is List[List[InlineRun]]
+            old: content["items"] is List[str] or List[{"text":…}]
+            Returns the items list (caller decides per-item conversion).
+
+        For table headers/cells:
+            new: each header/cell is List[InlineRun]
+            old: each header/cell is a plain str
+            Caller handles per-cell.
+        """
+        if itemsKey:
+            return content.get(itemsKey, [])
+        inlineRuns = content.get("inlineRuns")
+        if inlineRuns:
+            return inlineRuns
+        text = content.get("text", "")
+        if text:
+            return [{"type": "text", "value": text}]
+        return []
+
+    @staticmethod
+    def _inlineRunsForCell(cell) -> list:
+        """Normalize a single table header or cell value to List[InlineRun].
+        Accepts either a plain string or an already-correct list of run dicts."""
+        if isinstance(cell, list):
+            return cell
+        return [{"type": "text", "value": str(cell) if cell is not None else ""}]
+
+    @staticmethod
+    def _inlineRunsForListItem(item) -> list:
+        """Normalize a single list item to List[InlineRun].
+        Accepts a plain string, a dict with 'text', or an already-correct list of run dicts."""
+        if isinstance(item, list):
+            return item
+        if isinstance(item, dict):
+            text = item.get("text", "")
+            return [{"type": "text", "value": text}]
+        return [{"type": "text", "value": str(item)}]
     
     def _determineFilename(self, title: str, mimeType: str) -> str:
         """Determine filename from title and mimeType."""

modules/serviceCenter/services/serviceGeneration/renderers/rendererDocx.py

@@ -53,18 +53,17 @@ class RendererDocx(BaseRenderer):
         from modules.datamodels.datamodelJson import supportedSectionTypes
         return list(supportedSectionTypes)
     
-    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> List[RenderedDocument]:
+    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> List[RenderedDocument]:
         """Render extracted JSON content to DOCX format using AI-analyzed styling."""
         self.services.utils.debugLogToFile(f"DOCX RENDER CALLED: title={title}, user_prompt={userPrompt[:50] if userPrompt else 'None'}...", "DOCX_RENDERER")
         try:
             if not DOCX_AVAILABLE:
-                # Fallback to HTML if python-docx not available
                 from .rendererHtml import RendererHtml
                 htmlRenderer = RendererHtml()
-                return await htmlRenderer.render(extractedContent, title, userPrompt, aiService)
+                return await htmlRenderer.render(extractedContent, title, userPrompt, aiService, style=style)
             
             # Generate DOCX using AI-analyzed styling
-            docx_content = await self._generateDocxFromJson(extractedContent, title, userPrompt, aiService)
+            docx_content = await self._generateDocxFromJson(extractedContent, title, userPrompt, aiService, unifiedStyle=style)
             
             # Extract metadata for document type and other info
             metadata = extractedContent.get("metadata", {}) if extractedContent else {}
@@ -114,23 +113,27 @@ class RendererDocx(BaseRenderer):
                 )
             ]
     
-    async def _generateDocxFromJson(self, json_content: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> str:
+    async def _generateDocxFromJson(self, json_content: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, unifiedStyle: Dict[str, Any] = None) -> str:
         """Generate DOCX content from structured JSON document."""
         import time
         start_time = time.time()
         try:
             self.logger.debug("_generateDocxFromJson: Starting document generation")
-            # Create new document
             doc = Document()
             self.logger.debug(f"_generateDocxFromJson: Document created in {time.time() - start_time:.2f}s")
             
-            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            template_from_metadata = None
-            if json_content and isinstance(json_content.get("metadata"), dict):
-                template_from_metadata = json_content["metadata"].get("templateName")
+            # Phase 3: prefer unified style when provided
             style_start = time.time()
             self.logger.debug("_generateDocxFromJson: About to get style set")
-            styleSet = await self._getStyleSet(json_content, userPrompt, aiService, templateName=template_from_metadata)
+            if unifiedStyle:
+                styleSet = self._convertUnifiedStyleToInternal(unifiedStyle)
+                self._unifiedStyle = unifiedStyle
+            else:
+                template_from_metadata = None
+                if json_content and isinstance(json_content.get("metadata"), dict):
+                    template_from_metadata = json_content["metadata"].get("templateName")
+                styleSet = await self._getStyleSet(json_content, userPrompt, aiService, templateName=template_from_metadata)
+                self._unifiedStyle = None
             self.logger.debug(f"_generateDocxFromJson: Style set retrieved in {time.time() - style_start:.2f}s")
             
             # Setup basic document styles and create all styles from style set
@@ -298,11 +301,11 @@ class RendererDocx(BaseRenderer):
     def _setupBasicDocumentStyles(self, doc: Document) -> None:
         """Set up basic document styles."""
         try:
-            # Set default font
             style = doc.styles['Normal']
             font = style.font
-            font.name = 'Calibri'
-            font.size = Pt(11)
+            us = getattr(self, '_unifiedStyle', None)
+            font.name = us["fonts"]["primary"] if us else 'Calibri'
+            font.size = Pt(us["paragraph"]["sizePt"] if us else 11)
         except Exception as e:
             self.logger.warning(f"Could not set up basic document styles: {str(e)}")
     
@@ -421,6 +424,8 @@ class RendererDocx(BaseRenderer):
     def _addMarkdownInlineRuns(self, paragraph, text: str) -> None:
         """Parse markdown inline formatting and add corresponding Runs to a python-docx paragraph."""
         pos = 0
+        us = getattr(self, '_unifiedStyle', None)
+        monoFont = us["fonts"]["monospace"] if us else "Courier New"
         for m in self._MD_INLINE_RE.finditer(text):
             if m.start() > pos:
                 paragraph.add_run(text[pos:m.start()])
@@ -434,12 +439,45 @@ class RendererDocx(BaseRenderer):
                 paragraph.add_run(m.group(6)).italic = True
             elif m.group(7):
                 run = paragraph.add_run(m.group(7))
-                run.font.name = "Courier New"
+                run.font.name = monoFont
                 run.font.size = Pt(9)
             pos = m.end()
         if pos < len(text):
             paragraph.add_run(text[pos:])
 
+    def _renderInlineRuns(self, runs: list, paragraph, styleSet: Dict[str, Any]) -> None:
+        """Process a list of InlineRun dicts into python-docx Runs on a paragraph."""
+        us = getattr(self, '_unifiedStyle', None)
+        monoFont = us["fonts"]["monospace"] if us else "Courier New"
+        for run in runs:
+            runType = run.get("type", "text")
+            value = run.get("value", "")
+            if runType == "text":
+                paragraph.add_run(value)
+            elif runType == "bold":
+                paragraph.add_run(value).bold = True
+            elif runType == "italic":
+                paragraph.add_run(value).italic = True
+            elif runType == "code":
+                r = paragraph.add_run(value)
+                r.font.name = monoFont
+                r.font.size = Pt(9)
+            elif runType == "link":
+                r = paragraph.add_run(value)
+                r.font.underline = True
+                r.font.color.rgb = RGBColor(0x29, 0x80, 0xB9)
+            elif runType == "image":
+                b64 = run.get("base64Data", "")
+                if b64:
+                    try:
+                        imgBytes = base64.b64decode(b64)
+                        imgStream = io.BytesIO(imgBytes)
+                        paragraph.add_run().add_picture(imgStream, width=Inches(2))
+                    except Exception:
+                        paragraph.add_run(f"[Image: {run.get('altText', '')}]")
+            else:
+                paragraph.add_run(value)
+
     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.
@@ -485,7 +523,7 @@ class RendererDocx(BaseRenderer):
         except Exception as e:
             self.logger.error(f"Error rendering table: {str(e)}", exc_info=True)
     
-    def _renderTableFastXml(self, doc: Document, headers: List[str], rows: List[List[Any]], styles: Dict[str, Any]) -> None:
+    def _renderTableFastXml(self, doc: Document, headers: list, rows: list, styles: Dict[str, Any]) -> None:
         """
         High-performance table rendering using direct XML manipulation.
         
@@ -546,24 +584,34 @@ class RendererDocx(BaseRenderer):
         # Build all rows using fast XML
         rows_start = time.time()
         
-        # Header row
-        headerRow = self._createTableRowXml(headers, isHeader=True)
+        # Resolve header style colors
+        tableStyle = styles.get("table_header", {})
+        headerBg = tableStyle.get("background", "")
+        headerFg = tableStyle.get("text_color", "")
+
+        # Flatten inline-run headers to plain strings for fast XML path
+        flatHeaders = []
+        for h in headers:
+            runs = self._inlineRunsForCell(h)
+            flatHeaders.append("".join(r.get("value", "") for r in runs))
+
+        headerRow = self._createTableRowXml(flatHeaders, isHeader=True, headerBgHex=headerBg or None, headerFgHex=headerFg or None)
         tbl.append(headerRow)
-        
+
         header_time = time.time() - rows_start
         self.logger.debug(f"_renderTableFastXml: Header row created in {header_time:.3f}s")
-        
-        # Data rows - batch process for performance
+
         data_start = time.time()
         rowCount = len(rows)
-        
+
         for idx, rowData in enumerate(rows):
-            # Convert all cells to strings
-            cellTexts = [str(cell) if cell is not None else '' for cell in rowData]
-            # Pad if needed
-            while len(cellTexts) < len(headers):
+            cellTexts = []
+            for cell in rowData:
+                runs = self._inlineRunsForCell(cell)
+                cellTexts.append("".join(r.get("value", "") for r in runs))
+            while len(cellTexts) < len(flatHeaders):
                 cellTexts.append('')
-            
+
             row = self._createTableRowXml(cellTexts, isHeader=False)
             tbl.append(row)
             
@@ -641,74 +689,64 @@ class RendererDocx(BaseRenderer):
         
         return tblBorders
     
-    def _createTableRowXml(self, cells: List[str], isHeader: bool = False) -> Any:
-        """
-        Create a table row XML element with cells.
-        
-        This is the core fast-path: builds the row XML directly without
-        going through python-docx's slow cell.text assignment.
-        """
+    def _createTableRowXml(self, cells: list, isHeader: bool = False, headerBgHex: str = None, headerFgHex: str = None) -> Any:
+        """Create a table row XML element with cells.
+        Fast-path: builds row XML directly via lxml."""
         from docx.oxml.shared import OxmlElement, qn
-        
+
+        if headerBgHex is None:
+            us = getattr(self, '_unifiedStyle', None)
+            headerBgHex = us["table"]["headerBg"].lstrip('#') if us else '1F3864'
+        else:
+            headerBgHex = headerBgHex.lstrip('#')
+        if headerFgHex is None:
+            us = getattr(self, '_unifiedStyle', None)
+            headerFgHex = us["table"]["headerFg"].lstrip('#') if us else 'FFFFFF'
+        else:
+            headerFgHex = headerFgHex.lstrip('#')
+
         tr = OxmlElement('w:tr')
-        
-        # Row properties for header
         if isHeader:
             trPr = OxmlElement('w:trPr')
-            tblHeader = OxmlElement('w:tblHeader')
-            trPr.append(tblHeader)
+            trPr.append(OxmlElement('w:tblHeader'))
             tr.append(trPr)
-        
+
         for cellText in cells:
-            # Create cell
             tc = OxmlElement('w:tc')
-            
-            # Cell properties
             tcPr = OxmlElement('w:tcPr')
             tcW = OxmlElement('w:tcW')
             tcW.set(qn('w:type'), 'auto')
             tcW.set(qn('w:w'), '0')
             tcPr.append(tcW)
-            
-            # Header cell styling - light blue background
+
             if isHeader:
                 shd = OxmlElement('w:shd')
                 shd.set(qn('w:val'), 'clear')
                 shd.set(qn('w:color'), 'auto')
-                shd.set(qn('w:fill'), '4472C4')  # Professional blue
+                shd.set(qn('w:fill'), headerBgHex)
                 tcPr.append(shd)
-            
+
             tc.append(tcPr)
-            
-            # Paragraph with text
             p = OxmlElement('w:p')
-            
-            # Add run with text
             r = OxmlElement('w:r')
-            
-            # Header text styling - bold and white
+
             if isHeader:
                 rPr = OxmlElement('w:rPr')
-                b = OxmlElement('w:b')
-                rPr.append(b)
-                # White text color
+                rPr.append(OxmlElement('w:b'))
                 color = OxmlElement('w:color')
-                color.set(qn('w:val'), 'FFFFFF')
+                color.set(qn('w:val'), headerFgHex)
                 rPr.append(color)
                 r.append(rPr)
-            
-            # Text element
+
             t = OxmlElement('w:t')
-            # Preserve spaces if text starts/ends with whitespace
             if cellText and (cellText[0] == ' ' or cellText[-1] == ' '):
                 t.set('{http://www.w3.org/XML/1998/namespace}space', 'preserve')
             t.text = cellText
             r.append(t)
-            
             p.append(r)
             tc.append(p)
             tr.append(tc)
-        
+
         return tr
     
     def _applyHorizontalBordersOnly(self, table) -> None:
@@ -836,47 +874,37 @@ 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 - OPTIMIZED for performance."""
         try:
-            # Extract from nested content structure
             content = list_data.get("content", {})
             if not isinstance(content, dict):
                 return
             items = content.get("items", [])
             bullet_style = styles.get("bullet_list", {})
-            
-            # Pre-calculate and cache style objects to avoid repeated parsing
-            font_size_pt = None
+
+            font_size_pt = Pt(bullet_style["font_size"]) if bullet_style.get("font_size") else None
             text_color_rgb = None
-            if bullet_style:
-                if "font_size" in bullet_style:
-                    font_size_pt = Pt(bullet_style["font_size"])
-                if "color" in bullet_style:
-                    color_hex = bullet_style["color"].lstrip('#')
-                    text_color_rgb = RGBColor(int(color_hex[0:2], 16), int(color_hex[2:4], 16), int(color_hex[4:6], 16))
-            
+            if bullet_style.get("color"):
+                color_hex = bullet_style["color"].lstrip('#')
+                text_color_rgb = RGBColor(int(color_hex[0:2], 16), int(color_hex[2:4], 16), int(color_hex[4:6], 16))
+
             for item in items:
-                itemText = item if isinstance(item, str) else (item.get("text", "") if isinstance(item, dict) else "")
-                if not itemText:
+                itemRuns = self._inlineRunsForListItem(item)
+                if not itemRuns or not any(r.get("value") for r in itemRuns):
                     continue
                 para = doc.add_paragraph(style='List Bullet')
-                self._addMarkdownInlineRuns(para, itemText)
-                
-                # Apply bullet list styling from style set - use cached objects
-                if bullet_style and para.runs:
-                    # Use direct access instead of iterating
-                    if len(para.runs) > 0:
-                        run = para.runs[0]
-                        if font_size_pt:
-                            run.font.size = font_size_pt
-                        if text_color_rgb:
-                            run.font.color.rgb = text_color_rgb
-                    else:
-                        # Create run if none exists
-                        run = para.add_run()
-                        if font_size_pt:
-                            run.font.size = font_size_pt
-                        if text_color_rgb:
-                            run.font.color.rgb = text_color_rgb
-                    
+                isNewRunFormat = isinstance(item, list)
+                if isNewRunFormat:
+                    self._renderInlineRuns(itemRuns, para, styles)
+                else:
+                    itemText = "".join(r.get("value", "") for r in itemRuns)
+                    self._addMarkdownInlineRuns(para, itemText)
+
+                if bullet_style and para.runs and len(para.runs) > 0:
+                    run = para.runs[0]
+                    if font_size_pt:
+                        run.font.size = font_size_pt
+                    if text_color_rgb:
+                        run.font.color.rgb = text_color_rgb
+
         except Exception as e:
             self.logger.warning(f"Error rendering bullet list: {str(e)}")
     
@@ -905,90 +933,79 @@ 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:
-            # Extract from nested content structure
             content = paragraph_data.get("content", {})
             if isinstance(content, dict):
-                text = content.get("text", "")
+                inlineRuns = self._inlineRunsFromContent(content)
             elif isinstance(content, str):
-                text = content
+                inlineRuns = [{"type": "text", "value": 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)})")
+                inlineRuns = []
+
+            if not inlineRuns:
+                return
+
+            plainText = "".join(r.get("value", "") for r in inlineRuns)
+            if plainText and (plainText.startswith("/9j/") or plainText.startswith("iVBORw0KGgo") or
+                    (len(plainText) > 100 and all(c in "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=" for c in plainText[:100]))):
+                self.logger.warning(f"Skipping rendering of what appears to be base64 data in paragraph (length: {len(plainText)})")
                 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
+                    para.runs[0].font.color.rgb = RGBColor(255, 0, 0)
                 return
-            
-            if text:
-                para = doc.add_paragraph()
-                self._addMarkdownInlineRuns(para, text)
-                paragraph_style = styles.get("paragraph", {})
-                if paragraph_style:
-                    # Pre-calculate and cache style objects
-                    font_size_pt = None
-                    text_color_rgb = None
-                    if "font_size" in paragraph_style:
-                        font_size_pt = Pt(paragraph_style["font_size"])
-                    if "color" in paragraph_style:
-                        color_hex = paragraph_style["color"].lstrip('#')
-                        text_color_rgb = RGBColor(int(color_hex[0:2], 16), int(color_hex[2:4], 16), int(color_hex[4:6], 16))
-                    bold = paragraph_style.get("bold", False)
-                    
-                    # Use direct access instead of iterating
-                    if len(para.runs) > 0:
-                        run = para.runs[0]
-                        if font_size_pt:
-                            run.font.size = font_size_pt
-                        run.font.bold = bold
-                        if text_color_rgb:
-                            run.font.color.rgb = text_color_rgb
+
+            para = doc.add_paragraph()
+            hasNewRuns = content.get("inlineRuns") if isinstance(content, dict) else None
+            if hasNewRuns:
+                self._renderInlineRuns(inlineRuns, para, styles)
+            else:
+                self._addMarkdownInlineRuns(para, plainText)
+
+            paragraph_style = styles.get("paragraph", {})
+            if paragraph_style:
+                font_size_pt = Pt(paragraph_style["font_size"]) if "font_size" in paragraph_style else None
+                text_color_rgb = None
+                if "color" in paragraph_style:
+                    color_hex = paragraph_style["color"].lstrip('#')
+                    text_color_rgb = RGBColor(int(color_hex[0:2], 16), int(color_hex[2:4], 16), int(color_hex[4:6], 16))
+                bold = paragraph_style.get("bold", False)
+                if len(para.runs) > 0:
+                    run = para.runs[0]
+                    if font_size_pt:
+                        run.font.size = font_size_pt
+                    run.font.bold = bold
+                    if text_color_rgb:
+                        run.font.color.rgb = text_color_rgb
+                if "align" in paragraph_style:
+                    align = paragraph_style["align"]
+                    if align == "center":
+                        para.alignment = WD_ALIGN_PARAGRAPH.CENTER
+                    elif align == "right":
+                        para.alignment = WD_ALIGN_PARAGRAPH.RIGHT
                     else:
-                        # Create run if none exists
-                        run = para.add_run()
-                        if font_size_pt:
-                            run.font.size = font_size_pt
-                        run.font.bold = bold
-                        if text_color_rgb:
-                            run.font.color.rgb = text_color_rgb
-                    
-                    if "align" in paragraph_style:
-                        align = paragraph_style["align"]
-                        if align == "center":
-                            para.alignment = WD_ALIGN_PARAGRAPH.CENTER
-                        elif align == "right":
-                            para.alignment = WD_ALIGN_PARAGRAPH.RIGHT
-                        else:
-                            para.alignment = WD_ALIGN_PARAGRAPH.LEFT
-                
+                        para.alignment = WD_ALIGN_PARAGRAPH.LEFT
+
         except Exception as e:
             self.logger.warning(f"Error rendering paragraph: {str(e)}")
     
     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:
-            # Extract from nested content structure
             content = code_data.get("content", {})
             if not isinstance(content, dict):
                 return
             code = content.get("code", "")
             language = content.get("language", "")
             code_style = styles.get("code_block", {})
-            
+            us = getattr(self, '_unifiedStyle', None)
+
             if code:
                 if language:
                     lang_para = doc.add_paragraph(f"Code ({language}):")
                     if len(lang_para.runs) > 0:
                         lang_para.runs[0].bold = True
-                
-                # Pre-calculate and cache style objects
-                code_font_name = code_style.get("font", "Courier New")
-                code_font_size_pt = Pt(code_style.get("font_size", 9))
+
+                code_font_name = code_style.get("font", us["fonts"]["monospace"] if us else "Courier New")
+                code_font_size_pt = Pt(code_style.get("font_size", us["codeBlock"]["fontSizePt"] if us else 9))
                 code_text_color_rgb = None
                 if "color" in code_style:
                     color_hex = code_style["color"].lstrip('#')

modules/serviceCenter/services/serviceGeneration/renderers/rendererHtml.py

@@ -40,7 +40,7 @@ class RendererHtml(BaseRenderer):
         from modules.datamodels.datamodelJson import supportedSectionTypes
         return list(supportedSectionTypes)
     
-    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> List[RenderedDocument]:
+    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> List[RenderedDocument]:
         """
         Render HTML document with images as separate files.
         Returns list of documents: [HTML document, image1, image2, ...]
@@ -54,7 +54,7 @@ class RendererHtml(BaseRenderer):
         self._renderedImages = images
         
         # Generate HTML using AI-analyzed styling
-        htmlContent = await self._generateHtmlFromJson(extractedContent, title, userPrompt, aiService)
+        htmlContent = await self._generateHtmlFromJson(extractedContent, title, userPrompt, aiService, style=style)
         
         # Replace base64 data URIs with relative file paths if images exist
         if images:
@@ -107,11 +107,16 @@ class RendererHtml(BaseRenderer):
         
         return resultDocuments
     
-    async def _generateHtmlFromJson(self, jsonContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> str:
+    async def _generateHtmlFromJson(self, jsonContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> str:
         """Generate HTML content from structured JSON document using AI-generated styling."""
         try:
-            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(jsonContent, userPrompt, aiService)
+            # Use unified style when provided, otherwise fall back to existing flow
+            if style:
+                styles = self._convertUnifiedStyleToInternal(style)
+                self._unifiedStyle = style
+            else:
+                styles = await self._getStyleSet(jsonContent, userPrompt, aiService)
+                self._unifiedStyle = None
             
             # Validate JSON structure
             if not self._validateJsonStructure(jsonContent):
@@ -272,6 +277,10 @@ class RendererHtml(BaseRenderer):
     
     def _generateCssStyles(self, styles: Dict[str, Any]) -> str:
         """Generate CSS from style definitions."""
+        # When unified style is available, generate CSS directly from it
+        if getattr(self, "_unifiedStyle", None):
+            return self._generateCssFromUnifiedStyle(self._unifiedStyle)
+        
         css_parts = []
         
         # Body styles
@@ -368,6 +377,164 @@ class RendererHtml(BaseRenderer):
         
         return '\n'.join(css_parts)
     
+    def _generateCssFromUnifiedStyle(self, style: Dict[str, Any]) -> str:
+        """Generate CSS directly from unified style dict."""
+        fonts = style.get("fonts", {})
+        colors = style.get("colors", {})
+        headings = style.get("headings", {})
+        para = style.get("paragraph", {})
+        tbl = style.get("table", {})
+        lst = style.get("list", {})
+        cb = style.get("codeBlock", {})
+        page = style.get("page", {})
+        
+        primaryFont = fonts.get("primary", "Arial, sans-serif")
+        monoFont = fonts.get("monospace", "Courier New, monospace")
+        bgColor = colors.get("background", "#FFFFFF")
+        primaryColor = colors.get("primary", "#1F3864")
+        paraColor = para.get("color", "#333333")
+        paraSizePt = para.get("sizePt", 11)
+        lineSpacing = para.get("lineSpacing", 1.15)
+        
+        css_parts = []
+        
+        # Body
+        css_parts.append("body {")
+        css_parts.append(f"  font-family: {primaryFont};")
+        css_parts.append(f"  background: {bgColor};")
+        css_parts.append(f"  color: {paraColor};")
+        css_parts.append(f"  font-size: {paraSizePt}pt;")
+        css_parts.append(f"  line-height: {lineSpacing};")
+        margins = page.get("marginsPt", {})
+        if margins:
+            css_parts.append(f"  margin: {margins.get('top', 60)}pt {margins.get('right', 60)}pt {margins.get('bottom', 60)}pt {margins.get('left', 60)}pt;")
+        else:
+            css_parts.append("  margin: 0; padding: 20px;")
+        css_parts.append("}")
+        
+        # Document title (uses h1 style)
+        h1 = headings.get("h1", {})
+        css_parts.append(".document-title {")
+        css_parts.append(f"  font-size: {h1.get('sizePt', 24)}pt;")
+        css_parts.append(f"  color: {h1.get('color', primaryColor)};")
+        css_parts.append(f"  font-weight: {h1.get('weight', 'bold')};")
+        css_parts.append("  margin: 0 0 1em 0;")
+        css_parts.append("}")
+        
+        # Headings h1-h4
+        for level in range(1, 5):
+            key = f"h{level}"
+            h = headings.get(key, h1 if level == 1 else headings.get(f"h{level-1}", {}))
+            css_parts.append(f"h{level} {{")
+            css_parts.append(f"  font-size: {h.get('sizePt', max(24 - (level-1)*4, 12))}pt;")
+            css_parts.append(f"  color: {h.get('color', primaryColor)};")
+            css_parts.append(f"  font-weight: {h.get('weight', 'bold')};")
+            css_parts.append(f"  margin: 1.2em 0 0.4em 0;")
+            css_parts.append("}")
+        
+        # Paragraphs
+        css_parts.append("p {")
+        css_parts.append(f"  font-size: {paraSizePt}pt;")
+        css_parts.append(f"  color: {paraColor};")
+        css_parts.append(f"  line-height: {lineSpacing};")
+        css_parts.append("  margin: 0 0 1em 0;")
+        css_parts.append("}")
+        
+        # Tables
+        borderColor = tbl.get("borderColor", "#DEE2E6")
+        css_parts.append("table {")
+        css_parts.append(f"  border-collapse: collapse;")
+        css_parts.append(f"  width: 100%;")
+        css_parts.append(f"  margin: 1em 0;")
+        css_parts.append(f"  border: 1px solid {borderColor};")
+        css_parts.append("}")
+        
+        # Table headers
+        css_parts.append("th {")
+        css_parts.append(f"  background: {tbl.get('headerBg', '#1F3864')};")
+        css_parts.append(f"  color: {tbl.get('headerFg', '#FFFFFF')};")
+        css_parts.append("  font-weight: bold;")
+        css_parts.append("  text-align: center;")
+        css_parts.append(f"  padding: 10px;")
+        css_parts.append(f"  border: 1px solid {borderColor};")
+        css_parts.append("}")
+        
+        # Table cells
+        css_parts.append("td {")
+        css_parts.append(f"  color: {paraColor};")
+        css_parts.append("  padding: 8px;")
+        css_parts.append(f"  border: 1px solid {borderColor};")
+        css_parts.append("}")
+        
+        # Lists
+        css_parts.append("ul {")
+        css_parts.append(f"  font-size: {lst.get('sizePt', paraSizePt)}pt;")
+        css_parts.append(f"  color: {paraColor};")
+        css_parts.append(f"  padding-left: {lst.get('indentPt', 18)}pt;")
+        css_parts.append("  margin: 0 0 1em 0;")
+        css_parts.append("}")
+        
+        # Code blocks
+        css_parts.append("pre {")
+        css_parts.append(f"  font-family: {monoFont};")
+        css_parts.append(f"  font-size: {cb.get('fontSizePt', 9)}pt;")
+        css_parts.append(f"  color: {paraColor};")
+        css_parts.append(f"  background: {cb.get('background', '#F8F9FA')};")
+        css_parts.append(f"  border: 1px solid {cb.get('borderColor', '#E2E8F0')};")
+        css_parts.append("  border-radius: 4px;")
+        css_parts.append("  padding: 1em;")
+        css_parts.append("  margin: 1em 0;")
+        css_parts.append("  overflow-x: auto;")
+        css_parts.append("}")
+        
+        # Images
+        css_parts.append("img {")
+        css_parts.append("  max-width: 100%;")
+        css_parts.append("  height: auto;")
+        css_parts.append("  margin: 1em 0;")
+        css_parts.append("  border-radius: 4px;")
+        css_parts.append("}")
+        
+        # Generated info
+        css_parts.append(".generated-info {")
+        css_parts.append("  font-size: 0.9em;")
+        css_parts.append("  color: #666;")
+        css_parts.append("  text-align: center;")
+        css_parts.append("  margin-top: 2em;")
+        css_parts.append("  padding-top: 1em;")
+        css_parts.append("  border-top: 1px solid #ddd;")
+        css_parts.append("}")
+        
+        return '\n'.join(css_parts)
+    
+    def _renderInlineRuns(self, runs: list) -> str:
+        """Convert inline runs to HTML markup."""
+        import html as htmlLib
+        parts = []
+        for run in runs:
+            runType = run.get("type", "text")
+            value = htmlLib.escape(run.get("value", ""))
+            if runType == "text":
+                parts.append(value)
+            elif runType == "bold":
+                parts.append(f"<strong>{value}</strong>")
+            elif runType == "italic":
+                parts.append(f"<em>{value}</em>")
+            elif runType == "code":
+                parts.append(f"<code>{value}</code>")
+            elif runType == "link":
+                href = htmlLib.escape(run.get("href", ""))
+                parts.append(f'<a href="{href}">{value}</a>')
+            elif runType == "image":
+                b64 = run.get("base64Data", "")
+                mime = run.get("mimeType", "image/png")
+                alt = value
+                if b64:
+                    parts.append(f'<img src="data:{mime};base64,{b64}" alt="{alt}" style="max-width:100%;height:auto;">')
+            else:
+                parts.append(value)
+        return "".join(parts)
+    
     def _renderJsonSection(self, section: Dict[str, Any], styles: Dict[str, Any]) -> str:
         """Render a single JSON section to HTML using AI-generated styles.
         Supports three content formats: reference, object (base64), extracted_text.
@@ -419,6 +586,11 @@ class RendererHtml(BaseRenderer):
                             # Regular paragraph element - extract from nested content structure (standard JSON format)
                             content = element.get("content", {})
                             if isinstance(content, dict):
+                                # New format: inlineRuns
+                                inlineRuns = content.get("inlineRuns")
+                                if inlineRuns and isinstance(inlineRuns, list):
+                                    htmlParts.append(f'<p>{self._renderInlineRuns(inlineRuns)}</p>')
+                                    continue
                                 text = content.get("text", "")
                             elif isinstance(content, str):
                                 text = content
@@ -495,7 +667,8 @@ class RendererHtml(BaseRenderer):
             # Table header
             htmlParts.append('<thead><tr>')
             for header in headers:
-                htmlParts.append(f'<th>{header}</th>')
+                runs = self._inlineRunsForCell(header)
+                htmlParts.append(f'<th>{self._renderInlineRuns(runs)}</th>')
             htmlParts.append('</tr></thead>')
             
             # Table body
@@ -503,7 +676,8 @@ class RendererHtml(BaseRenderer):
             for row in rows:
                 htmlParts.append('<tr>')
                 for cellData in row:
-                    htmlParts.append(f'<td>{cellData}</td>')
+                    runs = self._inlineRunsForCell(cellData)
+                    htmlParts.append(f'<td>{self._renderInlineRuns(runs)}</td>')
                 htmlParts.append('</tr>')
             htmlParts.append('</tbody>')
             
@@ -528,10 +702,8 @@ class RendererHtml(BaseRenderer):
             
             htmlParts = ['<ul>']
             for item in items:
-                if isinstance(item, str):
-                    htmlParts.append(f'<li>{item}</li>')
-                elif isinstance(item, dict) and "text" in item:
-                    htmlParts.append(f'<li>{item["text"]}</li>')
+                runs = self._inlineRunsForListItem(item)
+                htmlParts.append(f'<li>{self._renderInlineRuns(runs)}</li>')
             htmlParts.append('</ul>')
             
             return '\n'.join(htmlParts)
@@ -571,6 +743,11 @@ class RendererHtml(BaseRenderer):
                     if isinstance(el, dict):
                         content = el.get("content", {})
                         if isinstance(content, dict):
+                            # New format: inlineRuns
+                            inlineRuns = content.get("inlineRuns")
+                            if inlineRuns and isinstance(inlineRuns, list):
+                                texts.append(self._renderInlineRuns(inlineRuns))
+                                continue
                             text = content.get("text", "")
                         elif isinstance(content, str):
                             text = content
@@ -581,16 +758,18 @@ class RendererHtml(BaseRenderer):
                     elif isinstance(el, str):
                         texts.append(el)
                 if texts:
-                    # Join multiple paragraphs with <p> tags
                     return '\n'.join(f'<p>{text}</p>' for text in texts)
                 return ""
             elif isinstance(paragraphData, str):
                 return f'<p>{paragraphData}</p>'
             elif isinstance(paragraphData, dict):
-                # Handle nested content structure: element.content vs element.text
                 # Extract from nested content structure
                 content = paragraphData.get("content", {})
                 if isinstance(content, dict):
+                    # New format: inlineRuns
+                    inlineRuns = content.get("inlineRuns")
+                    if inlineRuns and isinstance(inlineRuns, list):
+                        return f'<p>{self._renderInlineRuns(inlineRuns)}</p>'
                     text = content.get("text", "")
                 elif isinstance(content, str):
                     text = content

modules/serviceCenter/services/serviceGeneration/renderers/rendererPdf.py

@@ -106,17 +106,17 @@ class RendererPdf(BaseRenderer):
         from modules.datamodels.datamodelJson import supportedSectionTypes
         return list(supportedSectionTypes)
     
-    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> List[RenderedDocument]:
+    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> List[RenderedDocument]:
         """Render extracted JSON content to PDF format using AI-analyzed styling."""
         try:
             if not REPORTLAB_AVAILABLE:
                 # Fallback to HTML if reportlab not available
                 from .rendererHtml import RendererHtml
                 html_renderer = RendererHtml()
-                return await html_renderer.render(extractedContent, title, userPrompt, aiService)
+                return await html_renderer.render(extractedContent, title, userPrompt, aiService, style=style)
             
             # Generate PDF using AI-analyzed styling
-            pdf_content = await self._generatePdfFromJson(extractedContent, title, userPrompt, aiService)
+            pdf_content = await self._generatePdfFromJson(extractedContent, title, userPrompt, aiService, unifiedStyle=style)
             
             # Extract metadata for document type and other info
             metadata = extractedContent.get("metadata", {}) if extractedContent else {}
@@ -163,11 +163,28 @@ class RendererPdf(BaseRenderer):
                 )
             ]
     
-    async def _generatePdfFromJson(self, json_content: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> str:
+    async def _generatePdfFromJson(self, json_content: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, unifiedStyle: Dict[str, Any] = None) -> str:
         """Generate PDF content from structured JSON document using AI-generated styling."""
         try:
-            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(json_content, userPrompt, aiService)
+            # Get style set from unified style or legacy approach
+            if unifiedStyle:
+                styles = self._convertUnifiedStyleToInternal(unifiedStyle)
+                self._unifiedStyle = unifiedStyle
+                for level in range(1, 7):
+                    hKey = f"heading{level}"
+                    if hKey not in styles:
+                        styles[hKey] = self._defaultHeadingStyleDef(level)
+                    else:
+                        styles[hKey].setdefault("space_after", 12)
+                        styles[hKey].setdefault("space_before", 12)
+                styles["paragraph"].setdefault("space_after", 6)
+                styles["paragraph"].setdefault("line_height", unifiedStyle["paragraph"].get("lineSpacing", 1.2))
+                styles["bullet_list"].setdefault("space_after", 3)
+                styles["code_block"].setdefault("space_after", 6)
+                styles["code_block"].setdefault("align", "left")
+            else:
+                styles = await self._getStyleSet(json_content, userPrompt, aiService)
+                self._unifiedStyle = None
             
             # Validate JSON structure
             if not self._validateJsonStructure(json_content):
@@ -179,15 +196,13 @@ class RendererPdf(BaseRenderer):
             # Create a buffer to hold the PDF
             buffer = io.BytesIO()
             
-            # Create PDF document
-            doc = SimpleDocTemplate(
-                buffer,
-                pagesize=A4,
-                rightMargin=72,
-                leftMargin=72,
-                topMargin=72,
-                bottomMargin=18
-            )
+            # Create PDF document with unified page margins or defaults
+            pageCfg = unifiedStyle["page"] if unifiedStyle else None
+            if pageCfg:
+                m = pageCfg["marginsPt"]
+                doc = SimpleDocTemplate(buffer, pagesize=A4, rightMargin=m["right"], leftMargin=m["left"], topMargin=m["top"], bottomMargin=m["bottom"])
+            else:
+                doc = SimpleDocTemplate(buffer, pagesize=A4, rightMargin=72, leftMargin=72, topMargin=72, bottomMargin=18)
             
             # Build PDF content (no cover page — body starts on page 1; filename still uses `title`)
             story = []
@@ -609,6 +624,31 @@ class RendererPdf(BaseRenderer):
             .replace(">", ">")
         )
 
+    def _renderInlineRunsToPdfXml(self, runs: list) -> str:
+        """Convert inline runs to ReportLab Paragraph XML."""
+        parts = []
+        us = getattr(self, '_unifiedStyle', None)
+        monoFont = us["fonts"]["monospace"] if us else "Courier"
+        for run in runs:
+            runType = run.get("type", "text")
+            value = self._escapeReportlabXml(run.get("value", ""))
+            if runType == "text":
+                parts.append(value)
+            elif runType == "bold":
+                parts.append(f"<b>{value}</b>")
+            elif runType == "italic":
+                parts.append(f"<i>{value}</i>")
+            elif runType == "code":
+                parts.append(f'<font name="{monoFont}">{value}</font>')
+            elif runType == "link":
+                href = self._escapeReportlabXml(run.get("href", ""))
+                parts.append(f'<a href="{href}">{value}</a>')
+            elif runType == "image":
+                parts.append(f"[Image: {value}]")
+            else:
+                parts.append(value)
+        return "".join(parts)
+
     def _applyInlineMarkdownToEscapedPlain(self, text: str) -> str:
         """Escape XML then apply bold/italic to a segment with no `code` spans (code is handled separately)."""
         if not text:
@@ -744,10 +784,10 @@ class RendererPdf(BaseRenderer):
                 return []
             headers = content.get("headers", [])
             rows = content.get("rows", [])
-            
+
             if not headers or not rows:
                 return []
-            
+
             numCols = len(headers)
             colWidth = _PDF_CONTENT_WIDTH_PT / max(numCols, 1)
             colWidths = [colWidth] * numCols
@@ -755,8 +795,12 @@ class RendererPdf(BaseRenderer):
             hdrPs = self._createTableCellParagraphStyle(styles, header=True, tableStyleKey="table_header")
             cellPs = self._createTableCellParagraphStyle(styles, header=False, tableStyleKey="table_cell")
 
-            def _cellPara(val, ps):
-                return self._paragraphFromInlineMarkdown(str(val) if val is not None else "", ps)
+            def _cellPara(cell, ps):
+                runs = self._inlineRunsForCell(cell)
+                if isinstance(cell, list):
+                    xml = self._renderInlineRunsToPdfXml(runs)
+                    return Paragraph(_wrapEmojiSpansInXml(xml), ps)
+                return self._paragraphFromInlineMarkdown(str(cell) if cell is not None else "", ps)
 
             headerRow = [_cellPara(h, hdrPs) for h in headers]
             bodyRows = []
@@ -786,7 +830,7 @@ class RendererPdf(BaseRenderer):
             ]
             table.setStyle(TableStyle(table_style))
             return [table, Spacer(1, 12)]
-            
+
         except Exception as e:
             self.logger.warning(f"Error rendering table: {str(e)}")
             return []
@@ -794,32 +838,29 @@ 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:
-            # 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", {})
-            
+            bulletStyleDef = styles.get("bullet_list", {})
+            normalStyle = self._createNormalStyle(styles)
+
             elements = []
             for item in items:
-                if isinstance(item, str):
-                    elements.append(
-                        Paragraph(f"• {self._markdownInlineToReportlabXml(item)}", self._createNormalStyle(styles))
-                    )
+                runs = self._inlineRunsForListItem(item)
+                if isinstance(item, list):
+                    xml = self._renderInlineRunsToPdfXml(runs)
+                    elements.append(Paragraph(f"\u2022 {_wrapEmojiSpansInXml(xml)}", normalStyle))
+                elif isinstance(item, str):
+                    elements.append(Paragraph(f"\u2022 {self._markdownInlineToReportlabXml(item)}", normalStyle))
                 elif isinstance(item, dict) and "text" in item:
-                    elements.append(
-                        Paragraph(
-                            f"• {self._markdownInlineToReportlabXml(item['text'])}",
-                            self._createNormalStyle(styles),
-                        )
-                    )
-            
+                    elements.append(Paragraph(f"\u2022 {self._markdownInlineToReportlabXml(item['text'])}", normalStyle))
+
             if elements:
-                elements.append(Spacer(1, bullet_style_def.get("space_after", 3)))
-            
+                elements.append(Spacer(1, bulletStyleDef.get("space_after", 3)))
+
             return elements
-            
+
         except Exception as e:
             self.logger.warning(f"Error rendering bullet list: {str(e)}")
             return []
@@ -848,20 +889,27 @@ 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:
-            # 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 isinstance(content, str):
+                content = {"text": content}
+            if not isinstance(content, dict):
+                return []
+
+            normalStyle = self._createNormalStyle(styles)
+
+            if "inlineRuns" in content:
+                runs = self._inlineRunsFromContent(content)
+                xml = self._renderInlineRunsToPdfXml(runs)
+                if xml:
+                    return [Paragraph(_wrapEmojiSpansInXml(xml), normalStyle)]
+                return []
+
+            text = content.get("text", "")
             if text:
-                return [self._paragraphFromInlineMarkdown(text, self._createNormalStyle(styles))]
-            
+                return [self._paragraphFromInlineMarkdown(text, normalStyle)]
+
             return []
-            
+
         except Exception as e:
             self.logger.warning(f"Error rendering paragraph: {str(e)}")
             return []

modules/serviceCenter/services/serviceGeneration/renderers/rendererPptx.py

@@ -59,7 +59,7 @@ class RendererPptx(BaseRenderer):
         from modules.datamodels.datamodelJson import supportedSectionTypes
         return list(supportedSectionTypes)
     
-    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> List[RenderedDocument]:
+    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> List[RenderedDocument]:
         """
         Render content as PowerPoint presentation from JSON data.
         
@@ -68,7 +68,7 @@ class RendererPptx(BaseRenderer):
             title: Title for the presentation
             userPrompt: User prompt for AI styling
             aiService: AI service for styling
-            **kwargs: Additional rendering options
+            style: Unified style dict from pipeline (preferred over AI-generated styles)
         
         Returns:
             Base64-encoded PowerPoint presentation as string
@@ -81,8 +81,19 @@ class RendererPptx(BaseRenderer):
             from pptx.dml.color import RGBColor
             import re
             
-            # Get style set: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(extractedContent, userPrompt, aiService)
+            # Get style set: prefer unified style, then metadata, then AI-enhanced
+            if style:
+                internalStyle = self._convertUnifiedStyleToInternal(style)
+                defaultPptx = self._getDefaultStyleSet()
+                for key in ("slide_size", "content_per_slide", "design_theme", "color_scheme", "background_style", "accent_colors", "professional_grade", "executive_ready"):
+                    internalStyle[key] = defaultPptx.get(key)
+                internalStyle["heading"] = internalStyle["heading1"]
+                internalStyle["subheading"] = internalStyle["heading2"]
+                styles = internalStyle
+                self._unifiedStyle = style
+            else:
+                styles = await self._getStyleSet(extractedContent, userPrompt, aiService)
+                self._unifiedStyle = None
             
             # Create new presentation
             prs = Presentation()
@@ -910,15 +921,17 @@ JSON ONLY. NO OTHER TEXT."""
             # Extract from nested content structure
             content = paragraph_data.get("content", {})
             if isinstance(content, dict):
-                text = content.get("text", "")
+                if content.get("inlineRuns"):
+                    text = "".join(r.get("value", "") for r in content["inlineRuns"])
+                else:
+                    text = content.get("text", "")
             elif isinstance(content, str):
                 text = content
             else:
                 text = ""
             
             if text:
-                # Limit paragraph length based on content density
-                max_length = 200  # Default limit
+                max_length = 200
                 if len(text) > max_length:
                     text = text[:max_length] + "..."
                 
@@ -1303,6 +1316,32 @@ JSON ONLY. NO OTHER TEXT."""
             r.text = text[pos:]
             _applyBase(r)
 
+    def _renderInlineRunsPptx(self, runs, paragraph, fontSize=None, fontColor=None):
+        """Process InlineRun dicts into pptx text runs."""
+        from pptx.util import Pt
+        paragraph.text = ""
+        us = getattr(self, '_unifiedStyle', None)
+        monoFont = us["fonts"]["monospace"] if us else "Courier New"
+        for run in runs:
+            runType = run.get("type", "text")
+            value = run.get("value", "")
+            r = paragraph.add_run()
+            r.text = value
+            if fontSize:
+                r.font.size = fontSize
+            if fontColor:
+                r.font.color.rgb = fontColor
+            if runType == "bold":
+                r.font.bold = True
+            elif runType == "italic":
+                r.font.italic = True
+            elif runType == "code":
+                r.font.name = monoFont
+                if fontSize and hasattr(fontSize, 'pt'):
+                    r.font.size = Pt(max(8, int(fontSize.pt * 0.85)))
+            elif runType == "link":
+                r.font.underline = True
+
     def _addTableToSlide(self, slide, element: Dict[str, Any], styles: Dict[str, Any], top: float = None, max_width: float = None) -> None:
         """Add a PowerPoint table to slide."""
         try:
@@ -1374,7 +1413,8 @@ JSON ONLY. NO OTHER TEXT."""
                 cell = table.cell(0, col_idx)
                 # Clear existing text and set new text
                 cell.text_frame.clear()
-                header_text = str(header) if header else ""
+                cellRuns = self._inlineRunsForCell(header)
+                header_text = "".join(r.get("value", "") for r in cellRuns)
                 cell.text = header_text
                 
                 # Ensure paragraph exists
@@ -1420,7 +1460,8 @@ JSON ONLY. NO OTHER TEXT."""
                     cell = table.cell(row_idx, col_idx)
                     # Clear existing text and set new text
                     cell.text_frame.clear()
-                    cell_text = str(cell_data) if cell_data is not None else ""
+                    cellRuns = self._inlineRunsForCell(cell_data)
+                    cell_text = "".join(r.get("value", "") for r in cellRuns)
                     cell.text = cell_text
                     
                     # Ensure paragraph exists
@@ -1462,9 +1503,8 @@ JSON ONLY. NO OTHER TEXT."""
             fontColor = RGBColor(*self._getSafeColor(listStyle.get("color", (47, 47, 47))))
             
             for item in items:
-                itemText = item.get("text", "") if isinstance(item, dict) else str(item)
-                if not itemText or not itemText.strip():
-                    continue
+                runs = self._inlineRunsForListItem(item)
+                isNewFormat = isinstance(item, list)
                 
                 p = text_frame.add_paragraph()
                 p.level = 0
@@ -1472,21 +1512,33 @@ JSON ONLY. NO OTHER TEXT."""
                 p.space_before = Pt(2)
                 p.space_after = Pt(2)
                 
-                # Consistent bullet prefix
-                self._addMarkdownInlineRuns(p, f"  •  {itemText}", fontSize=fontSize, fontColor=fontColor, fontBold=False)
+                if isNewFormat:
+                    bulletRuns = [{"type": "text", "value": "  \u2022  "}] + runs
+                    self._renderInlineRunsPptx(bulletRuns, p, fontSize=fontSize, fontColor=fontColor)
+                else:
+                    itemText = item.get("text", "") if isinstance(item, dict) else str(item)
+                    if not itemText or not itemText.strip():
+                        continue
+                    self._addMarkdownInlineRuns(p, f"  \u2022  {itemText}", fontSize=fontSize, fontColor=fontColor, fontBold=False)
                 
-                # Subitems
+                # Subitems (only for dict-style items)
                 if isinstance(item, dict):
                     for sub in item.get("subitems", []):
-                        subText = sub.get("text", "") if isinstance(sub, dict) else str(sub)
-                        if not subText:
-                            continue
+                        subRuns = self._inlineRunsForListItem(sub)
+                        isSubNew = isinstance(sub, list)
                         sp = text_frame.add_paragraph()
                         sp.level = 0
                         sp.alignment = PP_ALIGN.LEFT
                         sp.space_before = Pt(1)
                         sp.space_after = Pt(1)
-                        self._addMarkdownInlineRuns(sp, f"      –  {subText}", fontSize=fontSize, fontColor=fontColor, fontBold=False)
+                        if isSubNew:
+                            subBulletRuns = [{"type": "text", "value": "      \u2013  "}] + subRuns
+                            self._renderInlineRunsPptx(subBulletRuns, sp, fontSize=fontSize, fontColor=fontColor)
+                        else:
+                            subText = sub.get("text", "") if isinstance(sub, dict) else str(sub)
+                            if not subText:
+                                continue
+                            self._addMarkdownInlineRuns(sp, f"      \u2013  {subText}", fontSize=fontSize, fontColor=fontColor, fontBold=False)
                 
         except Exception as e:
             logger.warning(f"Error adding bullet list to slide: {str(e)}")
@@ -1540,42 +1592,53 @@ JSON ONLY. NO OTHER TEXT."""
             # Extract from nested content structure
             content = element.get("content", {})
             if isinstance(content, dict):
+                inlineRuns = self._inlineRunsFromContent(content)
+                hasInlineRuns = content.get("inlineRuns") is not None
                 text = content.get("text", "")
             elif isinstance(content, str):
                 text = content
+                inlineRuns = [{"type": "text", "value": text}] if text else []
+                hasInlineRuns = False
             else:
                 text = ""
+                inlineRuns = []
+                hasInlineRuns = False
             
-            if text:
-                p = text_frame.add_paragraph()
-                p.level = 0
-                
-                try:
-                    if hasattr(p, 'paragraph_format'):
-                        p.paragraph_format.bullet.type = None
-                except (AttributeError, TypeError):
-                    pass
-                
-                paragraph_style = styles.get("paragraph", {})
-                base_font_size = paragraph_style.get("font_size", 14)
-                calculated_size = max(10, int(base_font_size * font_size_multiplier))
-                fSize = Pt(calculated_size)
-                fColor = RGBColor(*self._getSafeColor(paragraph_style.get("color", (47, 47, 47))))
-                fBold = paragraph_style.get("bold", False)
+            if not inlineRuns and not text:
+                return
+            
+            p = text_frame.add_paragraph()
+            p.level = 0
+            
+            try:
+                if hasattr(p, 'paragraph_format'):
+                    p.paragraph_format.bullet.type = None
+            except (AttributeError, TypeError):
+                pass
+            
+            paragraph_style = styles.get("paragraph", {})
+            base_font_size = paragraph_style.get("font_size", 14)
+            calculated_size = max(10, int(base_font_size * font_size_multiplier))
+            fSize = Pt(calculated_size)
+            fColor = RGBColor(*self._getSafeColor(paragraph_style.get("color", (47, 47, 47))))
+            fBold = paragraph_style.get("bold", False)
+            
+            if hasInlineRuns:
+                self._renderInlineRunsPptx(inlineRuns, p, fontSize=fSize, fontColor=fColor)
+            else:
                 self._addMarkdownInlineRuns(p, text, fontSize=fSize, fontColor=fColor, fontBold=fBold)
-                
-                # Add proper spacing
-                p.space_before = Pt(6)  # Space before paragraph
-                p.space_after = Pt(6)  # Space after paragraph
-                p.line_spacing = 1.2  # Line spacing for readability
-                
-                align = paragraph_style.get("align", "left")
-                if align == "center":
-                    p.alignment = PP_ALIGN.CENTER
-                elif align == "right":
-                    p.alignment = PP_ALIGN.RIGHT
-                else:
-                    p.alignment = PP_ALIGN.LEFT
+            
+            p.space_before = Pt(6)
+            p.space_after = Pt(6)
+            p.line_spacing = 1.2
+            
+            align = paragraph_style.get("align", "left")
+            if align == "center":
+                p.alignment = PP_ALIGN.CENTER
+            elif align == "right":
+                p.alignment = PP_ALIGN.RIGHT
+            else:
+                p.alignment = PP_ALIGN.LEFT
                     
         except Exception as e:
             logger.warning(f"Error adding paragraph to slide: {str(e)}")

modules/serviceCenter/services/serviceGeneration/renderers/rendererXlsx.py

@@ -68,17 +68,17 @@ class RendererXlsx(BaseRenderer):
         from modules.datamodels.datamodelJson import supportedSectionTypes
         return list(supportedSectionTypes)
     
-    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> List[RenderedDocument]:
+    async def render(self, extractedContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> List[RenderedDocument]:
         """Render extracted JSON content to Excel format using AI-analyzed styling."""
         try:
             if not OPENPYXL_AVAILABLE:
                 # Fallback to CSV if openpyxl not available
                 from .rendererCsv import RendererCsv
                 csvRenderer = RendererCsv()
-                return await csvRenderer.render(extractedContent, title, userPrompt, aiService)
+                return await csvRenderer.render(extractedContent, title, userPrompt, aiService, style=style)
             
             # Generate Excel using AI-analyzed styling
-            excelContent = await self._generateExcelFromJson(extractedContent, title, userPrompt, aiService)
+            excelContent = await self._generateExcelFromJson(extractedContent, title, userPrompt, aiService, style=style)
             
             # Extract metadata for document type and other info
             metadata = extractedContent.get("metadata", {}) if extractedContent else {}
@@ -298,15 +298,22 @@ class RendererXlsx(BaseRenderer):
         except Exception as e:
             self.logger.warning(f"Could not populate analysis sheet: {str(e)}")
     
-    async def _generateExcelFromJson(self, jsonContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None) -> str:
+    async def _generateExcelFromJson(self, jsonContent: Dict[str, Any], title: str, userPrompt: str = None, aiService=None, *, style: Dict[str, Any] = None) -> str:
         """Generate Excel content from structured JSON document using AI-generated styling."""
         try:
             # Debug output
             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: use styles from metadata if available, otherwise enhance with AI
-            styles = await self._getStyleSet(jsonContent, userPrompt, aiService)
+            # Store unified style for use by inline-run helpers
+            self._unifiedStyle = style
+            
+            # Get style set: prefer unified style, fall back to legacy approach
+            if style:
+                styles = self._convertUnifiedStyleToInternal(style)
+                styles = self._convertColorsFormat(styles)
+            else:
+                styles = await self._getStyleSet(jsonContent, userPrompt, aiService)
             
             # Validate JSON structure (standardized schema: {metadata: {...}, documents: [{sections: [...]}]})
             if not self._validateJsonStructure(jsonContent):
@@ -511,6 +518,10 @@ class RendererXlsx(BaseRenderer):
             "code_block": {"font": "Courier New", "font_size": 10, "color": "FF2F2F2F", "background": "FFF5F5F5"}
         }
     
+    def _renderInlineRuns(self, runs: list) -> str:
+        """Flatten inline runs to plain text for Excel cells."""
+        return "".join(r.get("value", "") for r in runs)
+    
     async def _getAiStylesWithExcelColors(self, aiService, styleTemplate: str, defaultStyles: Dict[str, Any]) -> Dict[str, Any]:
         """Get AI styles with proper Excel color conversion."""
         if not aiService:
@@ -1206,7 +1217,9 @@ class RendererXlsx(BaseRenderer):
             
             # Add headers with formatting - OPTIMIZED: use cached style objects
             for col, header in enumerate(headers, 1):
-                sanitized_header = self._sanitizeCellValue(header)
+                runs = self._inlineRunsForCell(header)
+                headerText = self._renderInlineRuns(runs)
+                sanitized_header = self._sanitizeCellValue(headerText)
                 cell = sheet.cell(row=headerRow, column=col, value=sanitized_header)
                 
                 # Apply styling with fallbacks - use pre-calculated objects
@@ -1272,7 +1285,9 @@ class RendererXlsx(BaseRenderer):
                         cell_values = cell_values[:header_count]
                     
                     for col, cell_value in enumerate(cell_values, 1):
-                        sanitized_value = self._sanitizeCellValue(cell_value)
+                        runs = self._inlineRunsForCell(cell_value)
+                        cellText = self._renderInlineRuns(runs)
+                        sanitized_value = self._sanitizeCellValue(cellText)
                         cell = sheet.cell(row=startRow, column=col, value=sanitized_value)
                         
                         # Apply styling with fallbacks - use pre-calculated objects
@@ -1311,20 +1326,20 @@ class RendererXlsx(BaseRenderer):
     def _addListToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
         """Add a list element to Excel sheet. Expects nested content structure."""
         try:
-            # Extract from nested content structure
             content = element.get("content", {})
             if not isinstance(content, dict):
                 return startRow
-            list_items = content.get("items") or []
-            # Ensure list_items is a list
-            if not isinstance(list_items, list):
-                list_items = []
+            listItems = content.get("items") or []
+            if not isinstance(listItems, list):
+                listItems = []
             
-            list_style = styles.get("bullet_list", {})
-            for item in list_items:
-                sheet.cell(row=startRow, column=1, value=f"• {item}")
-                if list_style.get("color"):
-                    sheet.cell(row=startRow, column=1).font = Font(color=self._getSafeColor(list_style["color"]))
+            listStyle = styles.get("bullet_list", {})
+            for item in listItems:
+                runs = self._inlineRunsForListItem(item)
+                text = self._renderInlineRuns(runs)
+                sheet.cell(row=startRow, column=1, value=f"\u2022 {text}")
+                if listStyle.get("color"):
+                    sheet.cell(row=startRow, column=1).font = Font(color=self._getSafeColor(listStyle["color"]))
                 startRow += 1
             
             return startRow
@@ -1336,10 +1351,10 @@ class RendererXlsx(BaseRenderer):
     def _addParagraphToExcel(self, sheet, element: Dict[str, Any], styles: Dict[str, Any], startRow: int) -> int:
         """Add a paragraph element to Excel sheet. Expects nested content structure."""
         try:
-            # Extract from nested content structure
             content = element.get("content", {})
             if isinstance(content, dict):
-                text = content.get("text", "")
+                runs = self._inlineRunsFromContent(content)
+                text = self._renderInlineRuns(runs)
             elif isinstance(content, str):
                 text = content
             else:

modules/serviceCenter/services/serviceGeneration/styleDefaults.py

@@ -0,0 +1,75 @@
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+"""Default style definitions and style resolution for document rendering."""
+
+from typing import Any, Dict
+
+
+DEFAULT_STYLE: Dict[str, Any] = {
+    "fonts": {
+        "primary": "Calibri",
+        "monospace": "Consolas",
+    },
+    "colors": {
+        "primary": "#1F3864",
+        "secondary": "#2C3E50",
+        "accent": "#2980B9",
+        "background": "#FFFFFF",
+    },
+    "headings": {
+        "h1": {"sizePt": 24, "weight": "bold", "color": "#1F3864", "spaceBeforePt": 12, "spaceAfterPt": 6},
+        "h2": {"sizePt": 18, "weight": "bold", "color": "#1F3864", "spaceBeforePt": 10, "spaceAfterPt": 4},
+        "h3": {"sizePt": 14, "weight": "bold", "color": "#2C3E50", "spaceBeforePt": 8, "spaceAfterPt": 3},
+        "h4": {"sizePt": 12, "weight": "bold", "color": "#2C3E50", "spaceBeforePt": 6, "spaceAfterPt": 2},
+    },
+    "paragraph": {"sizePt": 11, "lineSpacing": 1.15, "color": "#333333"},
+    "table": {
+        "headerBg": "#1F3864",
+        "headerFg": "#FFFFFF",
+        "headerSizePt": 10,
+        "bodySizePt": 10,
+        "rowBandingEven": "#F2F6FC",
+        "rowBandingOdd": "#FFFFFF",
+        "borderColor": "#CBD5E1",
+        "borderWidthPt": 0.5,
+    },
+    "list": {"bulletChar": "\u2022", "indentPt": 18, "sizePt": 11},
+    "image": {"defaultWidthPt": 480, "maxWidthPt": 800, "alignment": "center"},
+    "codeBlock": {"fontSizePt": 9, "background": "#F8F9FA", "borderColor": "#E2E8F0"},
+    "page": {
+        "format": "A4",
+        "marginsPt": {"top": 60, "bottom": 60, "left": 60, "right": 60},
+        "showPageNumbers": True,
+        "headerHeight": 30,
+        "footerHeight": 30,
+        "headerLogo": None,
+        "headerText": "",
+        "footerText": "",
+    },
+}
+
+
+def _deepMerge(base: Dict[str, Any], override: Dict[str, Any]) -> Dict[str, Any]:
+    """Recursively merge override into base. Both dicts left unchanged; returns new dict."""
+    result = {}
+    for key in base:
+        if key in override:
+            baseVal = base[key]
+            overVal = override[key]
+            if isinstance(baseVal, dict) and isinstance(overVal, dict):
+                result[key] = _deepMerge(baseVal, overVal)
+            else:
+                result[key] = overVal
+        else:
+            result[key] = base[key]
+    for key in override:
+        if key not in base:
+            result[key] = override[key]
+    return result
+
+
+def resolveStyle(agentStyle: dict | None) -> Dict[str, Any]:
+    """Deep-merge DEFAULT_STYLE <- agentStyle. Returns fully resolved style dict."""
+    if not agentStyle:
+        return dict(DEFAULT_STYLE)
+    return _deepMerge(DEFAULT_STYLE, agentStyle)

modules/serviceCenter/services/serviceGeneration/subDocumentUtility.py

@@ -9,11 +9,70 @@ from typing import Any, Dict
 logger = logging.getLogger(__name__)
 
 
+def _parseInlineRuns(text: str) -> list:
+    """
+    Parse inline markdown formatting into a list of InlineRun dicts.
+    Handles: images, links, bold, italic, inline code, plain text.
+    Uses a regex-based tokenizer that processes tokens left-to-right.
+    """
+    if not text:
+        return [{"type": "text", "value": ""}]
+
+    # Pattern order matters: images before links, bold before italic
+    _TOKEN_RE = re.compile(
+        r'!\[(?P<imgAlt>[^\]]*)\]\((?P<imgSrc>[^)"]+)(?:\s+"(?P<imgWidth>\d+)pt")?\)'  # image
+        r'|\[(?P<linkText>[^\]]+)\]\((?P<linkHref>[^)]+)\)'                              # link
+        r'|`(?P<code>[^`]+)`'                                                            # inline code
+        r'|\*\*(?P<bold>.+?)\*\*'                                                        # bold
+        r'|(?<!\w)\*(?P<italic1>.+?)\*(?!\w)'                                            # italic *x*
+        r'|(?<!\w)_(?P<italic2>.+?)_(?!\w)'                                              # italic _x_
+    )
+
+    runs = []
+    lastEnd = 0
+
+    for m in _TOKEN_RE.finditer(text):
+        # Plain text before this match
+        if m.start() > lastEnd:
+            runs.append({"type": "text", "value": text[lastEnd:m.start()]})
+
+        if m.group("imgAlt") is not None or m.group("imgSrc") is not None:
+            alt = (m.group("imgAlt") or "").strip() or "Image"
+            src = (m.group("imgSrc") or "").strip()
+            widthStr = m.group("imgWidth")
+            run = {"type": "image", "value": alt}
+            if src.startswith("file:"):
+                run["fileId"] = src[5:]
+            else:
+                run["href"] = src
+            if widthStr:
+                run["widthPt"] = int(widthStr)
+            runs.append(run)
+        elif m.group("linkText") is not None:
+            runs.append({"type": "link", "value": m.group("linkText"), "href": m.group("linkHref")})
+        elif m.group("code") is not None:
+            runs.append({"type": "code", "value": m.group("code")})
+        elif m.group("bold") is not None:
+            runs.append({"type": "bold", "value": m.group("bold")})
+        elif m.group("italic1") is not None:
+            runs.append({"type": "italic", "value": m.group("italic1")})
+        elif m.group("italic2") is not None:
+            runs.append({"type": "italic", "value": m.group("italic2")})
+
+        lastEnd = m.end()
+
+    # Trailing plain text
+    if lastEnd < len(text):
+        runs.append({"type": "text", "value": text[lastEnd:]})
+
+    return runs if runs else [{"type": "text", "value": text}]
+
+
 def markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> Dict[str, Any]:
     """
-    Convert markdown content to the standard document JSON format expected by renderReport.
-    Supports headings, code blocks, tables, lists, images (file: refs), paragraphs.
-    For plain text: wraps entire content in a single paragraph section.
+    Convert markdown content to the standard document JSON format with Inline-Run model.
+    Sections use inlineRuns (list of run dicts) instead of plain text strings.
+    Supports headings, code blocks, tables, lists, images, paragraphs.
     """
     if not isinstance(markdown, str):
         markdown = str(markdown) if markdown else ""
@@ -31,7 +90,7 @@ def markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> D
     while i < len(lines):
         line = lines[i]
 
-        # Headings
+        # Headings (plain text, no inline formatting)
         headingMatch = re.match(r"^(#{1,6})\s+(.+)", line)
         if headingMatch:
             level = len(headingMatch.group(1))
@@ -43,7 +102,7 @@ def markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> D
             i += 1
             continue
 
-        # Fenced code blocks
+        # Fenced code blocks (no inline formatting)
         codeMatch = re.match(r"^```(\w*)", line)
         if codeMatch:
             lang = codeMatch.group(1) or "text"
@@ -59,14 +118,14 @@ def markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> D
             })
             continue
 
-        # Tables
+        # Tables - cells are List[InlineRun]
         tableMatch = re.match(r"^\|(.+)\|$", line)
         if tableMatch and (i + 1) < len(lines) and re.match(r"^\|[\s\-:|]+\|$", lines[i + 1]):
-            headerCells = [c.strip() for c in tableMatch.group(1).split("|")]
+            headerCells = [_parseInlineRuns(c.strip()) for c in tableMatch.group(1).split("|")]
             i += 2
             rows = []
             while i < len(lines) and re.match(r"^\|(.+)\|$", lines[i]):
-                rowCells = [c.strip() for c in lines[i][1:-1].split("|")]
+                rowCells = [_parseInlineRuns(c.strip()) for c in lines[i][1:-1].split("|")]
                 rows.append(rowCells)
                 i += 1
             sections.append({
@@ -75,14 +134,14 @@ def markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> D
             })
             continue
 
-        # Bullet / numbered lists
+        # Bullet / numbered lists - items are List[List[InlineRun]]
         listMatch = re.match(r"^(\s*)([-*+]|\d+[.)]) (.+)", line)
         if listMatch:
             isNumbered = bool(re.match(r"\d+[.)]", listMatch.group(2)))
             items = []
             while i < len(lines) and re.match(r"^(\s*)([-*+]|\d+[.)]) (.+)", lines[i]):
                 m = re.match(r"^(\s*)([-*+]|\d+[.)]) (.+)", lines[i])
-                items.append({"text": m.group(3).strip()})
+                items.append(_parseInlineRuns(m.group(3).strip()))
                 i += 1
             sections.append({
                 "id": _nextId(), "content_type": "bullet_list", "order": order,
@@ -95,46 +154,50 @@ def markdownToDocumentJson(markdown: str, title: str, language: str = "de") -> D
             i += 1
             continue
 
-        # Images (simplified: store as paragraph with ref for now - full resolution needs Knowledge Store)
-        imgMatch = re.match(r"^!\[([^\]]*)\]\(([^)]+)\)", line)
+        # Standalone image on its own line -> block-level image section
+        imgMatch = re.match(r"^!\[([^\]]*)\]\(([^)\"]+)(?:\s+\"(\d+)pt\")?\)\s*$", line)
         if imgMatch:
             altText = imgMatch.group(1).strip() or "Image"
             src = imgMatch.group(2).strip()
+            widthStr = imgMatch.group(3)
             fileId = src[5:] if src.startswith("file:") else ""
+            content = {
+                "altText": altText,
+                "base64Data": "",
+                "_fileRef": fileId,
+                "_srcUrl": src if not fileId else "",
+            }
+            if widthStr:
+                content["widthPt"] = int(widthStr)
             sections.append({
                 "id": _nextId(), "content_type": "image", "order": order,
-                "elements": [{
-                    "content": {
-                        "altText": altText,
-                        "base64Data": "",
-                        "_fileRef": fileId,
-                        "_srcUrl": src if not fileId else "",
-                    }
-                }],
+                "elements": [{"content": content}],
             })
             i += 1
             continue
 
-        # Paragraph
+        # Paragraph - produces inlineRuns
         paraLines = []
         while i < len(lines) and lines[i].strip() and not re.match(
-            r"^(#{1,6}\s|```|\|.+\||!\[|(\s*)([-*+]|\d+[.)]) )", lines[i]
+            r"^(#{1,6}\s|```|\|.+\||!\[[^\]]*\]\([^)]+\)\s*$|(\s*)([-*+]|\d+[.)]) )", lines[i]
         ):
             paraLines.append(lines[i])
             i += 1
         if paraLines:
+            combinedText = " ".join(paraLines)
             sections.append({
                 "id": _nextId(), "content_type": "paragraph", "order": order,
-                "elements": [{"content": {"text": " ".join(paraLines)}}],
+                "elements": [{"content": {"inlineRuns": _parseInlineRuns(combinedText)}}],
             })
             continue
 
         i += 1
 
     if not sections:
+        fallbackText = markdown.strip() or "(empty)"
         sections.append({
             "id": _nextId(), "content_type": "paragraph", "order": order,
-            "elements": [{"content": {"text": markdown.strip() or "(empty)"}}],
+            "elements": [{"content": {"inlineRuns": _parseInlineRuns(fallbackText)}}],
         })
 
     return {

modules/workflows/methods/methodAi/_common.py

@@ -0,0 +1,18 @@
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+
+"""Shared helpers for AI workflow actions."""
+
+
+def applyCommonAiParams(parameters: dict, request) -> None:
+    """Apply common AI parameters (requireNeutralization, allowedModels) from node to request."""
+    requireNeutralization = parameters.get("requireNeutralization")
+    if requireNeutralization is not None:
+        request.requireNeutralization = bool(requireNeutralization)
+
+    allowedModels = parameters.get("allowedModels")
+    if allowedModels and isinstance(allowedModels, list):
+        if not request.options:
+            from modules.datamodels.datamodelAi import AiCallOptions
+            request.options = AiCallOptions()
+        request.options.allowedModels = allowedModels

modules/workflows/methods/methodAi/actions/consolidate.py

@@ -67,6 +67,8 @@ async def consolidate(self, parameters: Dict[str, Any]) -> ActionResult:
             prompt=prompt,
             options=AiCallOptions(operationType=OperationTypeEnum.DATA_ANALYSE),
         )
+        from modules.workflows.methods.methodAi._common import applyCommonAiParams
+        applyCommonAiParams(parameters, req)
         resp = await ai_service.callAi(req)
     except (SubscriptionInactiveException, BillingContextError):
         raise

modules/workflows/methods/methodAi/actions/convertDocument.py

@@ -36,6 +36,10 @@ async def convertDocument(self, parameters: Dict[str, Any]) -> ActionResult:
     }
     if parentOperationId:
         processParams["parentOperationId"] = parentOperationId
+    if parameters.get("allowedModels"):
+        processParams["allowedModels"] = parameters["allowedModels"]
+    if parameters.get("requireNeutralization") is not None:
+        processParams["requireNeutralization"] = parameters["requireNeutralization"]
     
     return await self.process(processParams)
 

modules/workflows/methods/methodAi/actions/generateCode.py

@@ -55,6 +55,16 @@ async def generateCode(self, parameters: Dict[str, Any]) -> ActionResult:
             processingMode=ProcessingModeEnum.DETAILED
         )
         
+        # Apply node-level AI params
+        allowedModels = parameters.get("allowedModels")
+        if allowedModels and isinstance(allowedModels, list):
+            options.allowedModels = allowedModels
+        requireNeutralization = parameters.get("requireNeutralization")
+        if requireNeutralization is not None:
+            _ctx = getattr(self.services, '_context', None)
+            if _ctx:
+                _ctx.requireNeutralization = bool(requireNeutralization)
+        
         # outputFormat: Optional - if None, formats determined from prompt by AI
         aiResponse: AiResponse = await self.services.ai.callAiContent(
             prompt=prompt,

modules/workflows/methods/methodAi/actions/generateDocument.py

@@ -59,6 +59,16 @@ async def generateDocument(self, parameters: Dict[str, Any]) -> ActionResult:
             compressContext=False
         )
         
+        # Apply node-level AI params
+        allowedModels = parameters.get("allowedModels")
+        if allowedModels and isinstance(allowedModels, list):
+            options.allowedModels = allowedModels
+        requireNeutralization = parameters.get("requireNeutralization")
+        if requireNeutralization is not None:
+            _ctx = getattr(self.services, '_context', None)
+            if _ctx:
+                _ctx.requireNeutralization = bool(requireNeutralization)
+        
         # outputFormat: Optional - if None, formats determined from prompt by AI
         aiResponse: AiResponse = await self.services.ai.callAiContent(
             prompt=prompt,

modules/workflows/methods/methodAi/actions/process.py

@@ -212,6 +212,9 @@ async def process(self, parameters: Dict[str, Any]) -> ActionResult:
                 )
             )
             
+            from modules.workflows.methods.methodAi._common import applyCommonAiParams
+            applyCommonAiParams(parameters, request)
+            
             aiResponse_obj = await self.services.ai.callAi(request)
             
             # Convert AiCallResponse to AiResponse format
@@ -243,6 +246,16 @@ async def process(self, parameters: Dict[str, Any]) -> ActionResult:
                 operationType=OperationTypeEnum.IMAGE_GENERATE if isImageGeneration else OperationTypeEnum.DATA_GENERATE
             )
             
+            # Apply node-level AI params (allowedModels, requireNeutralization)
+            allowedModels = parameters.get("allowedModels")
+            if allowedModels and isinstance(allowedModels, list):
+                options.allowedModels = allowedModels
+            requireNeutralization = parameters.get("requireNeutralization")
+            if requireNeutralization is not None:
+                _ctx = getattr(self.services, '_context', None)
+                if _ctx:
+                    _ctx.requireNeutralization = bool(requireNeutralization)
+
             # Get generationIntent from parameters (required for DATA_GENERATE)
             # Default to "document" if not provided (most common use case)
             # For code generation, use ai.generateCode action or explicitly pass generationIntent="code"

modules/workflows/methods/methodAi/actions/summarizeDocument.py

@@ -39,6 +39,10 @@ async def summarizeDocument(self, parameters: Dict[str, Any]) -> ActionResult:
     }
     if parentOperationId:
         processParams["parentOperationId"] = parentOperationId
+    if parameters.get("allowedModels"):
+        processParams["allowedModels"] = parameters["allowedModels"]
+    if parameters.get("requireNeutralization") is not None:
+        processParams["requireNeutralization"] = parameters["requireNeutralization"]
     
     return await self.process(processParams)
 

modules/workflows/methods/methodAi/actions/translateDocument.py

@@ -41,6 +41,10 @@ async def translateDocument(self, parameters: Dict[str, Any]) -> ActionResult:
         processParams["resultType"] = resultType
     if parentOperationId:
         processParams["parentOperationId"] = parentOperationId
+    if parameters.get("allowedModels"):
+        processParams["allowedModels"] = parameters["allowedModels"]
+    if parameters.get("requireNeutralization") is not None:
+        processParams["requireNeutralization"] = parameters["requireNeutralization"]
     
     return await self.process(processParams)
 

tests/serviceAi/test_allowed_models_whitelist.py

@@ -0,0 +1,14 @@
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+import pytest
+from modules.datamodels.datamodelAi import AiCallOptions
+
+
+def test_allowed_models_field_exists():
+    opts = AiCallOptions(allowedModels=["gpt-5-mini", "claude-4-7-opus"])
+    assert opts.allowedModels == ["gpt-5-mini", "claude-4-7-opus"]
+
+
+def test_allowed_models_default_none():
+    opts = AiCallOptions()
+    assert opts.allowedModels is None

tests/serviceGeneration/test_inline_image_paragraph.py

@@ -0,0 +1,23 @@
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+import pytest
+from modules.serviceCenter.services.serviceGeneration.subDocumentUtility import markdownToDocumentJson
+
+
+def test_inline_image_in_paragraph():
+    md = "Results show ![chart](file:abc \"200pt\") clearly."
+    result = markdownToDocumentJson(md, "Test")
+    runs = result["documents"][0]["sections"][0]["elements"][0]["content"]["inlineRuns"]
+    types = [r["type"] for r in runs]
+    assert "text" in types
+    assert "image" in types
+    imgRun = next(r for r in runs if r["type"] == "image")
+    assert imgRun.get("fileId") == "abc"
+
+
+def test_multiple_inline_images():
+    md = "A ![x](file:1) B ![y](file:2) C"
+    result = markdownToDocumentJson(md, "Test")
+    runs = result["documents"][0]["sections"][0]["elements"][0]["content"]["inlineRuns"]
+    images = [r for r in runs if r["type"] == "image"]
+    assert len(images) == 2

tests/serviceGeneration/test_md_to_json_consolidation.py

@@ -0,0 +1,71 @@
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+import pytest
+from modules.serviceCenter.services.serviceGeneration.subDocumentUtility import markdownToDocumentJson
+
+
+def test_basic_paragraph():
+    result = markdownToDocumentJson("Hello world", "Test")
+    doc = result["documents"][0]
+    section = doc["sections"][0]
+    assert section["content_type"] == "paragraph"
+    assert section["elements"][0]["content"]["inlineRuns"][0] == {"type": "text", "value": "Hello world"}
+
+
+def test_inline_bold():
+    result = markdownToDocumentJson("This is **bold** text", "Test")
+    runs = result["documents"][0]["sections"][0]["elements"][0]["content"]["inlineRuns"]
+    assert any(r["type"] == "bold" and r["value"] == "bold" for r in runs)
+
+
+def test_inline_image():
+    result = markdownToDocumentJson("Text ![logo](file:abc123) more", "Test")
+    runs = result["documents"][0]["sections"][0]["elements"][0]["content"]["inlineRuns"]
+    assert any(r["type"] == "image" and r.get("fileId") == "abc123" for r in runs)
+
+
+def test_inline_link():
+    result = markdownToDocumentJson("Click [here](https://example.com)", "Test")
+    runs = result["documents"][0]["sections"][0]["elements"][0]["content"]["inlineRuns"]
+    assert any(r["type"] == "link" and r.get("href") == "https://example.com" for r in runs)
+
+
+def test_table_cells_are_inline_runs():
+    md = "| A | B |\n| --- | --- |\n| **x** | y |"
+    result = markdownToDocumentJson(md, "Test")
+    section = result["documents"][0]["sections"][0]
+    assert section["content_type"] == "table"
+    rows = section["elements"][0]["content"]["rows"]
+    assert isinstance(rows[0][0], list)
+
+
+def test_bullet_list_inline_runs():
+    md = "- Item **one**\n- Item two"
+    result = markdownToDocumentJson(md, "Test")
+    section = result["documents"][0]["sections"][0]
+    assert section["content_type"] == "bullet_list"
+    items = section["elements"][0]["content"]["items"]
+    assert isinstance(items[0], list)
+
+
+def test_standalone_image_block():
+    md = "![Big chart](file:chart123)"
+    result = markdownToDocumentJson(md, "Test")
+    section = result["documents"][0]["sections"][0]
+    assert section["content_type"] == "image"
+
+
+def test_heading_unchanged():
+    result = markdownToDocumentJson("# Title", "Test")
+    section = result["documents"][0]["sections"][0]
+    assert section["content_type"] == "heading"
+    assert section["elements"][0]["content"]["text"] == "Title"
+    assert section["elements"][0]["content"]["level"] == 1
+
+
+def test_code_block_unchanged():
+    md = "```python\nprint('hi')\n```"
+    result = markdownToDocumentJson(md, "Test")
+    section = result["documents"][0]["sections"][0]
+    assert section["content_type"] == "code_block"
+    assert section["elements"][0]["content"]["code"] == "print('hi')"

tests/serviceGeneration/test_style_resolver.py

@@ -0,0 +1,39 @@
+# Copyright (c) 2025 Patrick Motsch
+# All rights reserved.
+import pytest
+from modules.serviceCenter.services.serviceGeneration.styleDefaults import resolveStyle, DEFAULT_STYLE
+
+
+def test_resolve_none_returns_defaults():
+    result = resolveStyle(None)
+    assert result == DEFAULT_STYLE
+
+
+def test_resolve_empty_returns_defaults():
+    result = resolveStyle({})
+    assert result == DEFAULT_STYLE
+
+
+def test_override_single_color():
+    result = resolveStyle({"colors": {"primary": "#FF0000"}})
+    assert result["colors"]["primary"] == "#FF0000"
+    assert result["colors"]["secondary"] == DEFAULT_STYLE["colors"]["secondary"]
+
+
+def test_override_nested_heading():
+    result = resolveStyle({"headings": {"h1": {"sizePt": 30}}})
+    assert result["headings"]["h1"]["sizePt"] == 30
+    assert result["headings"]["h1"]["weight"] == "bold"
+
+
+def test_override_font():
+    result = resolveStyle({"fonts": {"primary": "Arial"}})
+    assert result["fonts"]["primary"] == "Arial"
+    assert result["fonts"]["monospace"] == "Consolas"
+
+
+def test_full_style_passthrough():
+    custom = {"fonts": {"primary": "Helvetica", "monospace": "Monaco"}}
+    result = resolveStyle(custom)
+    assert result["fonts"]["primary"] == "Helvetica"
+    assert result["fonts"]["monospace"] == "Monaco"