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

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Vini Brasil
2025-02-19 10:12:51 -05:00
committed by GitHub
parent 90f1bee602
commit ba66910fbd
2 changed files with 51 additions and 18 deletions
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16
tests/flow/test_state_utils.py
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@@ -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):