{"record":{"id":"b99ff3b3467341a7","repo":"ScrapeGraphAI/Scrapegraph-ai","slug":"syntax-code-generation-failed-str-e","errorCode":null,"errorMessage":"Syntax code generation failed: {str(e)}","messagePattern":"Syntax code generation failed: (.+?)","errorType":"error_code","errorClass":"CodeGenerationError","httpStatus":null,"severity":"error","filePath":"scrapegraphai/utils/code_error_correction.py","lineNumber":136,"sourceCode":"\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:\n        str: The corrected code.\n\n    Raises:\n        InvalidCorrectionStateError: If state is missing required keys or analysis is invalid.","sourceCodeStart":118,"sourceCodeEnd":154,"githubUrl":"https://github.com/ScrapeGraphAI/Scrapegraph-ai/blob/532dfffbf6ee823a6c9cf8cfedc24a93bf026780/scrapegraphai/utils/code_error_correction.py#L118-L154","documentation":"Generic failure of the syntax-focused code-generation LLM chain; the original exception text is appended. The state was valid enough to reach invoke(), so the failure is in the LLM call or prompt rendering.","triggerScenarios":"syntax_focused_code_generation / syntax_reasoning_loop with misconfigured llm_model (auth, base_url), provider timeout/rate limit, or PromptTemplate rendering failure for the 'syntax' correction template.","commonSituations":"Expired API key, local LLM server down, long generated_code exceeding context window, langchain version incompatibility.","solutions":["Read str(e) from the message to get the root cause","Sanity-test llm_model with a direct invoke","Trim/limit generated_code length if context overflow is indicated","Retry with backoff for rate limit / transient network errors"],"exampleFix":null,"handlingStrategy":"retry","validationCode":"llm_model.invoke(\"ping\")  # fail fast on auth/network issues","typeGuard":null,"tryCatchPattern":"from scrapegraphai.utils.code_error_correction import CodeGenerationError\nfor attempt in range(3):\n    try:\n        new_code = syntax_focused_code_generation(state, analysis, llm_model)\n        break\n    except CodeGenerationError as e:\n        if attempt == 2:\n            raise\n        time.sleep(2 ** attempt)","preventionTips":["Inspect str(e) for the real cause","Truncate very long generated_code to avoid context overflow","Retry transient provider errors with exponential backoff"],"tags":["llm","syntax-correction","chain-invocation"],"backgroundTag":"llm-chain-invocation-failed","analyzedSha":"532dfffbf6ee823a6c9cf8cfedc24a93bf026780","analyzedAt":"2026-08-28T15:19:38.821Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}