Implement flow.state_utils.to_string method and improve types (#2161)

This commit is contained in:
Vini Brasil
2025-02-19 10:12:51 -05:00
committed by Brandon Hancock
parent 241adb8ed0
commit 497190f823
2 changed files with 51 additions and 18 deletions

View File

@@ -1,12 +1,18 @@
import json
from datetime import date, datetime
from typing import Any
from typing import Any, Dict, List, Union
from pydantic import BaseModel
from crewai.flow import Flow
SerializablePrimitive = Union[str, int, float, bool, None]
Serializable = Union[
SerializablePrimitive, List["Serializable"], Dict[str, "Serializable"]
]
def export_state(flow: Flow) -> dict[str, Any]:
def export_state(flow: Flow) -> dict[str, Serializable]:
"""Exports the Flow's internal state as JSON-compatible data structures.
Performs a one-way transformation of a Flow's state into basic Python types
@@ -20,10 +26,27 @@ def export_state(flow: Flow) -> dict[str, Any]:
dict[str, Any]: The transformed state using JSON-compatible Python
types.
"""
return _to_serializable(flow._state)
result = to_serializable(flow._state)
assert isinstance(result, dict)
return result
def _to_serializable(obj: Any, max_depth: int = 5, _current_depth: int = 0) -> Any:
def to_serializable(
obj: Any, max_depth: int = 5, _current_depth: int = 0
) -> Serializable:
"""Converts a Python object into a JSON-compatible representation.
Supports primitives, datetime objects, collections, dictionaries, and
Pydantic models. Recursion depth is limited to prevent infinite nesting.
Non-convertible objects default to their string representations.
Args:
obj (Any): Object to transform.
max_depth (int, optional): Maximum recursion depth. Defaults to 5.
Returns:
Serializable: A JSON-compatible structure.
"""
if _current_depth >= max_depth:
return repr(obj)
@@ -32,16 +55,16 @@ def _to_serializable(obj: Any, max_depth: int = 5, _current_depth: int = 0) -> A
elif isinstance(obj, (date, datetime)):
return obj.isoformat()
elif isinstance(obj, (list, tuple, set)):
return [_to_serializable(item, max_depth, _current_depth + 1) for item in obj]
return [to_serializable(item, max_depth, _current_depth + 1) for item in obj]
elif isinstance(obj, dict):
return {
_to_serializable_key(key): _to_serializable(
_to_serializable_key(key): to_serializable(
value, max_depth, _current_depth + 1
)
for key, value in obj.items()
}
elif isinstance(obj, BaseModel):
return _to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
return to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
else:
return repr(obj)
@@ -50,3 +73,19 @@ def _to_serializable_key(key: Any) -> str:
if isinstance(key, (str, int)):
return str(key)
return f"key_{id(key)}_{repr(key)}"
def to_string(obj: Any) -> str | None:
"""Serializes an object into a JSON string.
Args:
obj (Any): Object to serialize.
Returns:
str | None: A JSON-formatted string or `None` if empty.
"""
serializable = to_serializable(obj)
if serializable is None:
return None
else:
return json.dumps(serializable)

View File

@@ -6,7 +6,7 @@ import pytest
from pydantic import BaseModel
from crewai.flow import Flow
from crewai.flow.state_utils import export_state
from crewai.flow.state_utils import export_state, to_string
class Address(BaseModel):
@@ -119,16 +119,10 @@ def test_pydantic_model_serialization(mock_flow):
)
result = export_state(flow)
assert result["single_model"]["street"] == "123 Main St"
assert result["nested_model"]["name"] == "John Doe"
assert result["nested_model"]["address"]["city"] == "Tech City"
assert result["nested_model"]["birthday"] == "1994-01-01"
assert len(result["model_list"]) == 2
assert all(m["street"] == "123 Main St" for m in result["model_list"])
assert result["model_dict"]["home"]["city"] == "Tech City"
assert (
to_string(result)
== '{"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"}}}'
)
def test_depth_limit(mock_flow):