map() — langchain Function Reference

Architecture documentation for the map() function in string_run_evaluator.py from the langchain codebase.

Function python LangChainCore ApiManagement calls 3 called by 1

Entity Profile

LangChainCore→ ApiManagement→ map() — langchain Function Reference

Dependency Diagram

graph TD
  b15ccccb_1344_8d38_767a_922bd0d352ca["map()"]
  e9537ec5_dd39_fde8_64f7_e16f805b8dbe["StringExampleMapper"]
  b15ccccb_1344_8d38_767a_922bd0d352ca -->|defined in| e9537ec5_dd39_fde8_64f7_e16f805b8dbe
  f56f231b_b6eb_b4a1_5171_9aa21c13ee17["__call__()"]
  f56f231b_b6eb_b4a1_5171_9aa21c13ee17 -->|calls| b15ccccb_1344_8d38_767a_922bd0d352ca
  da073bde_7e9c_b610_6d77_18f3b0290349["serialize_chat_messages()"]
  b15ccccb_1344_8d38_767a_922bd0d352ca -->|calls| da073bde_7e9c_b610_6d77_18f3b0290349
  c36025c6_da32_fa12_5c71_e60ffc858574["serialize_chat_messages()"]
  b15ccccb_1344_8d38_767a_922bd0d352ca -->|calls| c36025c6_da32_fa12_5c71_e60ffc858574
  eeef200b_d96b_43d0_3074_30604390fe0c["map()"]
  b15ccccb_1344_8d38_767a_922bd0d352ca -->|calls| eeef200b_d96b_43d0_3074_30604390fe0c
  style b15ccccb_1344_8d38_767a_922bd0d352ca fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/smith/evaluation/string_run_evaluator.py lines 240–265

    def map(self, example: Example) -> dict[str, str]:
        """Maps the Example, or dataset row to a dictionary."""
        if not example.outputs:
            msg = f"Example {example.id} has no outputs to use as a reference."
            raise ValueError(msg)
        if self.reference_key is None:
            if len(example.outputs) > 1:
                msg = (
                    f"Example {example.id} has multiple outputs, so you must"
                    " specify a reference_key."
                )
                raise ValueError(msg)
            output = next(iter(example.outputs.values()))
        elif self.reference_key not in example.outputs:
            msg = (
                f"Example {example.id} does not have reference key"
                f" {self.reference_key}."
            )
            raise ValueError(msg)
        else:
            output = example.outputs[self.reference_key]
        return {
            "reference": self.serialize_chat_messages([output])
            if isinstance(output, dict) and output.get("type") and output.get("data")
            else output,
        }