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Python: Refactor RequestInfoExecutor (#1403)
* Refactor RequestInfoExecutor * Update AI script * Fix formatting * Address comments * fix unit test
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@@ -5,7 +5,7 @@ import sys
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from collections.abc import Mapping
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any, cast
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from typing import Any
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# Ensure local getting_started package can be imported when running as a script.
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_SAMPLES_ROOT = Path(__file__).resolve().parents[3]
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@@ -150,23 +150,17 @@ async def main() -> None:
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else:
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raise TypeError("Unexpected argument type for human review function call.")
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request_payload_obj: Any = request.data
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if not isinstance(request_payload_obj, Mapping):
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raise ValueError("Human review request payload must be a mapping.")
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request_payload = cast(Mapping[str, Any], request_payload_obj)
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request_payload: Any = request.data
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if not isinstance(request_payload, HumanReviewRequest):
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raise ValueError("Human review request payload must be a HumanReviewRequest.")
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agent_request_obj = request_payload.get("agent_request")
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if not isinstance(agent_request_obj, Mapping):
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raise ValueError("Human review request must include agent_request mapping data.")
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agent_request_data = cast(Mapping[str, Any], agent_request_obj)
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request_id_obj = agent_request_data.get("request_id")
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if not isinstance(request_id_obj, str):
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raise ValueError("Human review request_id must be a string.")
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request_id_value = request_id_obj
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agent_request = request_payload.agent_request
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if agent_request is None:
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raise ValueError("Human review request must include agent_request.")
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request_id = agent_request.request_id
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# Mock a human response approval for demonstration purposes.
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human_response = ReviewResponse(request_id=request_id_value, feedback="Approved", approved=True)
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human_response = ReviewResponse(request_id=request_id, feedback="Approved", approved=True)
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# Create the function call result object to send back to the agent.
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human_review_function_result = FunctionResultContent(
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