{"record":{"id":"7bde888bda1e4c15","repo":"ScrapeGraphAI/Scrapegraph-ai","slug":"missing-required-key-in-state-dictionary-e-7bde88","errorCode":null,"errorMessage":"Missing required key in state dictionary: {e}","messagePattern":"Missing required key in state dictionary: (.+?)","errorType":"error_code","errorClass":"InvalidCorrectionStateError","httpStatus":null,"severity":"error","filePath":"scrapegraphai/utils/code_error_correction.py","lineNumber":132,"sourceCode":"        )\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:\n        raise CodeGenerationError(f\"Syntax code generation failed: {str(e)}\")\n\n\ndef execution_focused_code_generation(\n    state: Dict[str, Any], analysis: str, llm_model\n) -> str:\n    \"\"\"\n    Generates corrected code based on execution error analysis.\n\n    Args:\n        state (dict): Contains the 'generated_code'.\n        analysis (str): The analysis of the execution errors.\n        llm_model: The language model used for generating the corrected code.\n\n    Returns:","sourceCodeStart":114,"sourceCodeEnd":150,"githubUrl":"https://github.com/ScrapeGraphAI/Scrapegraph-ai/blob/532dfffbf6ee823a6c9cf8cfedc24a93bf026780/scrapegraphai/utils/code_error_correction.py#L114-L150","documentation":"Raised by syntax_focused_code_generation when a KeyError occurs while building/invoking the correction chain — the state dict is missing a required key (message names it). Note CorrectionState defaults generated_code to '', so this fires for template-driven key accesses.","triggerScenarios":"syntax_focused_code_generation with a state lacking keys the 'syntax' correction template consumes, or a chain.invoke payload key missing relative to input_variables.","commonSituations":"Hand-built state without 'generated_code'; template/input_variables mismatch after upgrading scrapegraphai where the template gained a variable.","solutions":["Include 'generated_code' (and any keys the current template requires) in state","Regenerate/verify you are on a consistent scrapegraphai version so templates and code match","Log the state keys before invoking the correction loop"],"exampleFix":"# before\nsyntax_focused_code_generation({}, analysis, llm)\n# after\nsyntax_focused_code_generation({\"generated_code\": code}, analysis, llm)","handlingStrategy":"validation","validationCode":"state.setdefault(\"generated_code\", \"\")\nassert \"generated_code\" in state","typeGuard":"def correction_state_ok(s) -> bool:\n    return isinstance(s, dict) and isinstance(s.get(\"generated_code\"), str)","tryCatchPattern":"from scrapegraphai.utils.code_error_correction import InvalidCorrectionStateError\ntry:\n    syntax_focused_code_generation(state, analysis, llm_model)\nexcept InvalidCorrectionStateError as e:\n    raise ValueError(f\"state incomplete: {e}\") from e","preventionTips":["Include generated_code in state","Keep package version consistent so template variables match","Log state keys before invoking correction"],"tags":["state","keyerror","syntax-correction"],"backgroundTag":"state-validation-failed","analyzedSha":"532dfffbf6ee823a6c9cf8cfedc24a93bf026780","analyzedAt":"2026-08-28T15:19:38.821Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}