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ValueOn AG 2025-12-23 00:35:04 +01:00
parent 982932d2f5
commit 4d4db7bb85
2 changed files with 12 additions and 12 deletions
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12
modules/services/serviceGeneration/renderers/rendererImage.py
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@ -47,15 +47,15 @@ class RendererImage(BaseRenderer):
if not aiService:
raise ValueError("AI service is required for image generation")
# Validate JSON structure
if not isinstance(extractedContent, dict):
raise ValueError("Extracted content must be a dictionary")
# Validate JSON structure (standardized schema: {metadata: {...}, documents: [{sections: [...]}]})
if not self._validateJsonStructure(extractedContent):
raise ValueError("Extracted content must follow standardized schema: {metadata: {...}, documents: [{sections: [...]}]}")
if "sections" not in extractedContent:
raise ValueError("Extracted content must contain 'sections' field")
# Extract metadata from standardized schema
metadata = self._extractMetadata(extractedContent)
# Use title from JSON metadata if available, otherwise use provided title
documentTitle = extractedContent.get("metadata", {}).get("title", title)
documentTitle = metadata.get("title", title)
# Create AI prompt for image generation
imagePrompt = await self._createImageGeneratePrompt(extractedContent, documentTitle, userPrompt, aiService)

12
modules/services/serviceGeneration/renderers/rendererXlsx.py
View file

@ -210,15 +210,15 @@ class RendererXlsx(BaseRenderer):
# Get style set: default styles, enhanced with AI if userPrompt provided
styles = await self._getStyleSet(userPrompt, aiService)
# Validate JSON structure
if not isinstance(jsonContent, dict):
raise ValueError("JSON content must be a dictionary")
# Validate JSON structure (standardized schema: {metadata: {...}, documents: [{sections: [...]}]})
if not self._validateJsonStructure(jsonContent):
raise ValueError("JSON content must follow standardized schema: {metadata: {...}, documents: [{sections: [...]}]}")
if "sections" not in jsonContent:
raise ValueError("JSON content must contain 'sections' field")
# Extract metadata from standardized schema
metadata = self._extractMetadata(jsonContent)
# Use title from JSON metadata if available, otherwise use provided title
document_title = jsonContent.get("metadata", {}).get("title", title)
document_title = metadata.get("title", title)
# Create workbook
wb = Workbook()