ScrapeGraphAI/Scrapegraph-ai · error · InvalidStateError

Missing required key: {e}

Error message

Missing required key: {e}

What it means

Raised by semantic_focused_analysis when a KeyError escapes during chain construction/invoke, i.e. a required key was missing from state or comparison_result despite the earlier targeted checks — the message names the offending key via str(e).

Source

Thrown at scrapegraphai/utils/code_error_analysis.py:333

        # Create prompt template and chain
        prompt = PromptTemplate(
            template=get_optimal_analysis_template("semantic"),
            input_variables=["generated_code", "differences", "explanation"],
        )
        chain = prompt | llm_model | StrOutputParser()

        # Execute chain with validated inputs
        return chain.invoke(
            {
                "generated_code": validated_state.generated_code,
                "differences": json.dumps(comparison_result["differences"], indent=2),
                "explanation": comparison_result["explanation"],
            }
        )

    except KeyError as e:
        raise InvalidStateError(f"Missing required key: {e}")
    except Exception as e:
        raise AnalysisError(f"Semantic analysis failed: {str(e)}")

View on GitHub (pinned to 532dfffbf6)

Solutions

1. Read the key name embedded in the message and add it to state
2. Pass the complete state from prior graph steps
3. Use state.get(...) defaults when constructing state manually

for k in ("generated_code", "errors"):
    assert k in state, f"missing {k}"

def semantic_state_ok(s) -> bool:
    return isinstance(s, dict) and "generated_code" in s and "errors" in s

from scrapegraphai.utils.code_error_analysis import InvalidStateError
try:
    semantic_focused_analysis(state, comparison_result, llm_model)
except InvalidStateError as e:
    key = str(e).rsplit(":", 1)[-1].strip()
    state.setdefault(key, "")
    raise

When it happens

Trigger: semantic_comparison_loop where state lacks keys the semantic template consumes (generated_code, errors) or comparison_result values are accessed and missing; the KeyError message reveals exactly which key failed.

Common situations: Running the semantic comparison step standalone with a hand-built state; upstream node failure leaving state partially populated.

Related errors

• comparison_result missing 'differences' key
• comparison_result missing 'explanation' key
• Missing required key in state dictionary: {e}
• LLM configuration must include an 'api_key'.
• langchain_google_genai is not installed. Please install it u

AI-assisted analysis of ScrapeGraphAI/Scrapegraph-ai@532dfffbf6 (2026-08-28). Data as JSON: /api/errors/e535cadec27c7d6a. Report an issue: GitHub.