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Implement flow.state_utils.to_string method and improve types (#2161)
This commit is contained in:
committed by
Brandon Hancock
parent
241adb8ed0
commit
497190f823
@@ -1,12 +1,18 @@
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import json
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from datetime import date, datetime
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from typing import Any
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from typing import Any, Dict, List, Union
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from pydantic import BaseModel
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from crewai.flow import Flow
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SerializablePrimitive = Union[str, int, float, bool, None]
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Serializable = Union[
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SerializablePrimitive, List["Serializable"], Dict[str, "Serializable"]
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]
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def export_state(flow: Flow) -> dict[str, Any]:
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def export_state(flow: Flow) -> dict[str, Serializable]:
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"""Exports the Flow's internal state as JSON-compatible data structures.
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Performs a one-way transformation of a Flow's state into basic Python types
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@@ -20,10 +26,27 @@ def export_state(flow: Flow) -> dict[str, Any]:
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dict[str, Any]: The transformed state using JSON-compatible Python
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types.
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"""
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return _to_serializable(flow._state)
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result = to_serializable(flow._state)
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assert isinstance(result, dict)
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return result
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def _to_serializable(obj: Any, max_depth: int = 5, _current_depth: int = 0) -> Any:
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def to_serializable(
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obj: Any, max_depth: int = 5, _current_depth: int = 0
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) -> Serializable:
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"""Converts a Python object into a JSON-compatible representation.
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Supports primitives, datetime objects, collections, dictionaries, and
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Pydantic models. Recursion depth is limited to prevent infinite nesting.
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Non-convertible objects default to their string representations.
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Args:
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obj (Any): Object to transform.
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max_depth (int, optional): Maximum recursion depth. Defaults to 5.
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Returns:
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Serializable: A JSON-compatible structure.
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"""
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if _current_depth >= max_depth:
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return repr(obj)
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@@ -32,16 +55,16 @@ def _to_serializable(obj: Any, max_depth: int = 5, _current_depth: int = 0) -> A
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elif isinstance(obj, (date, datetime)):
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return obj.isoformat()
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elif isinstance(obj, (list, tuple, set)):
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return [_to_serializable(item, max_depth, _current_depth + 1) for item in obj]
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return [to_serializable(item, max_depth, _current_depth + 1) for item in obj]
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elif isinstance(obj, dict):
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return {
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_to_serializable_key(key): _to_serializable(
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_to_serializable_key(key): to_serializable(
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value, max_depth, _current_depth + 1
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)
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for key, value in obj.items()
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}
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elif isinstance(obj, BaseModel):
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return _to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
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return to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
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else:
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return repr(obj)
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@@ -50,3 +73,19 @@ def _to_serializable_key(key: Any) -> str:
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if isinstance(key, (str, int)):
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return str(key)
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return f"key_{id(key)}_{repr(key)}"
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def to_string(obj: Any) -> str | None:
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"""Serializes an object into a JSON string.
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Args:
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obj (Any): Object to serialize.
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Returns:
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str | None: A JSON-formatted string or `None` if empty.
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"""
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serializable = to_serializable(obj)
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if serializable is None:
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return None
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else:
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return json.dumps(serializable)
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@@ -6,7 +6,7 @@ import pytest
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from pydantic import BaseModel
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from crewai.flow import Flow
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from crewai.flow.state_utils import export_state
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from crewai.flow.state_utils import export_state, to_string
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class Address(BaseModel):
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@@ -119,16 +119,10 @@ def test_pydantic_model_serialization(mock_flow):
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)
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result = export_state(flow)
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assert result["single_model"]["street"] == "123 Main St"
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assert result["nested_model"]["name"] == "John Doe"
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assert result["nested_model"]["address"]["city"] == "Tech City"
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assert result["nested_model"]["birthday"] == "1994-01-01"
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assert len(result["model_list"]) == 2
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assert all(m["street"] == "123 Main St" for m in result["model_list"])
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assert result["model_dict"]["home"]["city"] == "Tech City"
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assert (
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to_string(result)
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== '{"single_model": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, "nested_model": {"name": "John Doe", "age": 30, "address": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, "birthday": "1994-01-01", "skills": ["Python", "Testing"]}, "model_list": [{"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}], "model_dict": {"home": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}}}'
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)
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def test_depth_limit(mock_flow):
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