{"record":{"id":"87208dd7c6a74778","repo":"ScrapeGraphAI/Scrapegraph-ai","slug":"analysis-must-be-a-non-empty-string","errorCode":null,"errorMessage":"Analysis must be a non-empty string","messagePattern":"Analysis must be a non-empty string","errorType":"error_code","errorClass":"InvalidCorrectionStateError","httpStatus":null,"severity":"warning","filePath":"scrapegraphai/utils/code_error_correction.py","lineNumber":117,"sourceCode":"\n    Raises:\n        InvalidCorrectionStateError: If state is missing required keys.\n\n    Example:\n        >>> state = {\n            'generated_code': 'print(\"Hello World\"'\n        }\n        >>> analysis = \"Missing closing parenthesis in print statement\"\n        >>> corrected_code = syntax_focused_code_generation(state, analysis, mock_llm)\n    \"\"\"\n    try:\n        # Validate state using Pydantic model\n        validated_state = CorrectionState(\n            generated_code=state.get(\"generated_code\", \"\")\n        )\n\n        if not analysis or not isinstance(analysis, str):\n            raise InvalidCorrectionStateError(\"Analysis must be a non-empty string\")\n\n        # Create prompt template and chain\n        prompt = PromptTemplate(\n            template=get_optimal_correction_template(\"syntax\"),\n            input_variables=[\"analysis\", \"generated_code\"],\n        )\n        chain = prompt | llm_model | StrOutputParser()\n\n        # Execute chain with validated state\n        return chain.invoke(\n            {\"analysis\": analysis, \"generated_code\": validated_state.generated_code}\n        )\n\n    except KeyError as e:\n        raise InvalidCorrectionStateError(\n            f\"Missing required key in state dictionary: {e}\"\n        )\n    except Exception as e:","sourceCodeStart":99,"sourceCodeEnd":135,"githubUrl":"https://github.com/ScrapeGraphAI/Scrapegraph-ai/blob/532dfffbf6ee823a6c9cf8cfedc24a93bf026780/scrapegraphai/utils/code_error_correction.py#L99-L135","documentation":"syntax_focused_code_generation rejects an analysis argument that is falsy or not a str. The analysis string is supposed to come from the preceding syntax_focused_analysis step, so this means the pipeline was wired incorrectly or the analysis returned None/empty.","triggerScenarios":"Calling syntax_reasoning_loop / syntax_focused_code_generation(state, analysis, llm_model) with analysis=None, '' or a non-string (e.g. a dict returned by an LLM parse step).","commonSituations":"Chaining steps manually and passing the wrong variable (state instead of analysis); analysis step returned an object rather than its string content; empty analysis from an LLM that returned nothing.","solutions":["Pass the string output of syntax_focused_analysis as analysis","If the analysis came from parsing, coerce: analysis = str(parsed) if parsed else raise/stop","Short-circuit the correction loop when analysis is empty instead of calling"],"exampleFix":"# before\ncode = syntax_focused_code_generation(state, None, llm)\n# after\nif analysis:\n    code = syntax_focused_code_generation(state, analysis, llm)","handlingStrategy":"type-guard","validationCode":"assert isinstance(analysis, str) and analysis, \"analysis must be a non-empty string\"","typeGuard":"def is_analysis_text(a) -> bool:\n    return isinstance(a, str) and bool(a.strip())","tryCatchPattern":"from scrapegraphai.utils.code_error_correction import InvalidCorrectionStateError\ntry:\n    syntax_focused_code_generation(state, analysis, llm_model)\nexcept InvalidCorrectionStateError:\n    analysis = str(analysis) if analysis else None\n    if analysis is None:\n        raise","preventionTips":["Pass the exact string from syntax_focused_analysis","Coerce parsed LLM output with str() before calling","Skip the correction step when analysis is empty"],"tags":["validation","argument-validation","syntax-correction"],"backgroundTag":"invalid-argument-type","analyzedSha":"532dfffbf6ee823a6c9cf8cfedc24a93bf026780","analyzedAt":"2026-08-28T15:19:38.821Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}