update
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1 changed files with 100 additions and 44 deletions
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@ -497,14 +497,21 @@ async def check_facts(request: FactCheckRequest):
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"""
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Fetch fact check results and generate a comprehensive report.
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Handles both query-based and URL-based fact checking.
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Always returns a 200 response with appropriate content, never an error.
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"""
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try:
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url_text = None
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query_result = None
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url_result = None
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# If URL is provided, try to extract text
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if request.url:
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try:
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url_text = await process_url_content(request.url)
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except Exception as e:
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logger.error(f"Error extracting text from URL: {str(e)}")
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url_text = None
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if not url_text and not request.query:
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# Only return early if URL text extraction failed and no query provided
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return UnverifiedFactCheckResponse(
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@ -512,24 +519,60 @@ async def check_facts(request: FactCheckRequest):
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verdict=VerdictEnum.UNVERIFIED,
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confidence=ConfidenceEnum.LOW,
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sources=[],
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evidence="Unable to extract text from the provided URL.",
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explanation="The system could not process the content from the provided URL. The URL might be invalid or inaccessible.",
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additional_context="Please provide a valid URL or a text query for fact-checking."
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evidence="No fact check results found",
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explanation="The system encountered errors while processing the fact checks.",
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additional_context="Please try again with different input or contact support if the issue persists."
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)
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# If URL text was successfully extracted, process it
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if url_text:
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logger.info(f"Processing fact check for extracted text: {url_text}")
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try:
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url_result = await process_fact_check(url_text)
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except Exception as e:
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logger.error(f"Error processing fact check for URL text: {str(e)}")
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url_result = UnverifiedFactCheckResponse(
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claim=f"URL: {request.url}",
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verdict=VerdictEnum.UNVERIFIED,
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confidence=ConfidenceEnum.LOW,
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sources=[],
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evidence="No fact check results found",
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explanation="The system encountered errors while processing the fact checks.",
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additional_context="Please try again with different input or contact support if the issue persists."
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)
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# Process query if provided
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if request.query:
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try:
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query_result = await process_fact_check(request.query)
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except Exception as e:
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logger.error(f"Error processing fact check for query: {str(e)}")
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query_result = UnverifiedFactCheckResponse(
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claim=request.query,
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verdict=VerdictEnum.UNVERIFIED,
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confidence=ConfidenceEnum.LOW,
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sources=[],
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evidence="No fact check results found",
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explanation="The system encountered errors while processing the fact checks.",
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additional_context="Please try again with different input or contact support if the issue persists."
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)
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# If both results are available, combine them
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if query_result and url_result and url_text:
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try:
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return await combine_fact_reports(request.query, url_text,
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query_result.dict(), url_result.dict())
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except Exception as e:
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logger.error(f"Error combining fact reports: {str(e)}")
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return UnverifiedFactCheckResponse(
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claim=request.query or f"URL: {request.url}",
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verdict=VerdictEnum.UNVERIFIED,
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confidence=ConfidenceEnum.LOW,
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sources=[],
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evidence="No fact check results found",
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explanation="The system encountered errors while processing the fact checks.",
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additional_context="Please try again with different input or contact support if the issue persists."
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)
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# If only one result is available
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if query_result:
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@ -547,3 +590,16 @@ async def check_facts(request: FactCheckRequest):
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explanation="The system encountered errors while processing the fact checks.",
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additional_context="Please try again with different input or contact support if the issue persists."
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)
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except Exception as e:
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# Catch-all exception handler to ensure we always return a 200 response
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logger.error(f"Unexpected error in check_facts: {str(e)}")
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return UnverifiedFactCheckResponse(
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claim=request.query or f"URL: {request.url}",
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verdict=VerdictEnum.UNVERIFIED,
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confidence=ConfidenceEnum.LOW,
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sources=[],
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evidence="No fact check results found",
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explanation="The system encountered errors while processing the fact checks.",
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additional_context="Please try again with different input or contact support if the issue persists."
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)
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