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2 Commits

Author SHA1 Message Date
Devin AI
9297655edc Fix lint error: remove unused pytest import
Co-Authored-By: Jo\u00E3o <joao@crewai.com>
2025-07-13 14:13:24 +00:00
Devin AI
3cd55459b9 Fix Flow initial_state BaseModel dict coercion issue #3147
- Fix Flow constructor to accept initial_state parameter
- Replace dict conversion with model.model_copy() in _create_initial_state
- Replace dict conversion with model.copy(update=...) in _initialize_state
- Add comprehensive tests covering dict method name collisions
- Preserve BaseModel structure to prevent attribute collision

Fixes issue where Pydantic BaseModel instances were coerced into dicts,
causing field names like 'items', 'keys', 'values' to be overridden by
built-in dict methods. Now BaseModel structure is preserved using
Pydantic's built-in copying methods.

Co-Authored-By: Jo\u00E3o <joao@crewai.com>
2025-07-13 14:09:32 +00:00
2 changed files with 211 additions and 33 deletions

View File

@@ -446,15 +446,20 @@ class Flow(Generic[T], metaclass=FlowMeta):
def __init__(
self,
initial_state: Union[Type[T], T, None] = None,
persistence: Optional[FlowPersistence] = None,
**kwargs: Any,
) -> None:
"""Initialize a new Flow instance.
Args:
initial_state: Initial state for the flow (BaseModel instance or dict)
persistence: Optional persistence backend for storing flow states
**kwargs: Additional state values to initialize or override
"""
# Set the initial_state for this instance
if initial_state is not None:
self.initial_state = initial_state
# Initialize basic instance attributes
self._methods: Dict[str, Callable] = {}
self._method_execution_counts: Dict[str, int] = {}
@@ -552,25 +557,21 @@ class Flow(Generic[T], metaclass=FlowMeta):
# Handle BaseModel instance case
if isinstance(self.initial_state, BaseModel):
model = cast(BaseModel, self.initial_state)
if not hasattr(model, "id"):
raise ValueError("Flow state model must have an 'id' field")
# Create new instance with same values to avoid mutations
if hasattr(model, "model_dump"):
# Create copy of the BaseModel to avoid mutations
if hasattr(model, "model_copy"):
# Pydantic v2
state_dict = model.model_dump()
elif hasattr(model, "dict"):
return cast(T, model.model_copy())
elif hasattr(model, "copy"):
# Pydantic v1
state_dict = model.dict()
return cast(T, model.copy())
else:
# Fallback for other BaseModel implementations
# Fallback for other BaseModel implementations - preserve original logic
state_dict = {
k: v for k, v in model.__dict__.items() if not k.startswith("_")
}
# Create new instance of the same class
model_class = type(model)
return cast(T, model_class(**state_dict))
model_class = type(model)
return cast(T, model_class(**state_dict))
raise TypeError(
f"Initial state must be dict or BaseModel, got {type(self.initial_state)}"
)
@@ -645,30 +646,26 @@ class Flow(Generic[T], metaclass=FlowMeta):
# For BaseModel states, preserve existing fields unless overridden
try:
model = cast(BaseModel, self._state)
# Get current state as dict
if hasattr(model, "model_dump"):
current_state = model.model_dump()
elif hasattr(model, "dict"):
current_state = model.dict()
if hasattr(model, "model_copy"):
# Pydantic v2
self._state = cast(T, model.model_copy(update=inputs))
elif hasattr(model, "copy"):
# Pydantic v1
self._state = cast(T, model.copy(update=inputs))
else:
# Fallback for other BaseModel implementations - preserve original logic
current_state = {
k: v for k, v in model.__dict__.items() if not k.startswith("_")
}
# Create new state with preserved fields and updates
new_state = {**current_state, **inputs}
# Create new instance with merged state
model_class = type(model)
if hasattr(model_class, "model_validate"):
# Pydantic v2
self._state = cast(T, model_class.model_validate(new_state))
elif hasattr(model_class, "parse_obj"):
# Pydantic v1
self._state = cast(T, model_class.parse_obj(new_state))
else:
# Fallback for other BaseModel implementations
self._state = cast(T, model_class(**new_state))
new_state = {**current_state, **inputs}
model_class = type(model)
if hasattr(model_class, "model_validate"):
self._state = cast(T, model_class.model_validate(new_state))
elif hasattr(model_class, "parse_obj"):
self._state = cast(T, model_class.parse_obj(new_state))
else:
self._state = cast(T, model_class(**new_state))
except ValidationError as e:
raise ValueError(f"Invalid inputs for structured state: {e}") from e
else:

View File

@@ -0,0 +1,181 @@
"""Test Flow initial_state BaseModel dict coercion fix for issue #3147"""
from pydantic import BaseModel
from crewai.flow.flow import Flow
class StateWithItems(BaseModel):
items: list = [1, 2, 3]
metadata: dict = {"x": 1}
class StateWithKeys(BaseModel):
keys: list = ["a", "b", "c"]
data: str = "test"
class StateWithValues(BaseModel):
values: list = [10, 20, 30]
name: str = "example"
class StateWithGet(BaseModel):
get: str = "method_name"
config: dict = {"enabled": True}
class StateWithPop(BaseModel):
pop: int = 42
settings: list = ["option1", "option2"]
class StateWithUpdate(BaseModel):
update: bool = True
version: str = "1.0.0"
class StateWithClear(BaseModel):
clear: str = "action"
status: str = "active"
def test_flow_initial_state_items_field():
"""Test that BaseModel with 'items' field preserves structure and doesn't get dict coercion."""
flow = Flow(initial_state=StateWithItems())
flow.kickoff()
assert isinstance(flow.state, StateWithItems)
assert not isinstance(flow.state, dict)
assert isinstance(flow.state.items, list)
assert flow.state.items == [1, 2, 3]
assert len(flow.state.items) == 3
assert flow.state.metadata == {"x": 1}
def test_flow_initial_state_keys_field():
"""Test that BaseModel with 'keys' field preserves structure."""
flow = Flow(initial_state=StateWithKeys())
flow.kickoff()
assert isinstance(flow.state, StateWithKeys)
assert isinstance(flow.state.keys, list)
assert flow.state.keys == ["a", "b", "c"]
assert len(flow.state.keys) == 3
assert flow.state.data == "test"
def test_flow_initial_state_values_field():
"""Test that BaseModel with 'values' field preserves structure."""
flow = Flow(initial_state=StateWithValues())
flow.kickoff()
assert isinstance(flow.state, StateWithValues)
assert isinstance(flow.state.values, list)
assert flow.state.values == [10, 20, 30]
assert len(flow.state.values) == 3
assert flow.state.name == "example"
def test_flow_initial_state_get_field():
"""Test that BaseModel with 'get' field preserves structure."""
flow = Flow(initial_state=StateWithGet())
flow.kickoff()
assert isinstance(flow.state, StateWithGet)
assert isinstance(flow.state.get, str)
assert flow.state.get == "method_name"
assert flow.state.config == {"enabled": True}
def test_flow_initial_state_pop_field():
"""Test that BaseModel with 'pop' field preserves structure."""
flow = Flow(initial_state=StateWithPop())
flow.kickoff()
assert isinstance(flow.state, StateWithPop)
assert isinstance(flow.state.pop, int)
assert flow.state.pop == 42
assert flow.state.settings == ["option1", "option2"]
def test_flow_initial_state_update_field():
"""Test that BaseModel with 'update' field preserves structure."""
flow = Flow(initial_state=StateWithUpdate())
flow.kickoff()
assert isinstance(flow.state, StateWithUpdate)
assert isinstance(flow.state.update, bool)
assert flow.state.update is True
assert flow.state.version == "1.0.0"
def test_flow_initial_state_clear_field():
"""Test that BaseModel with 'clear' field preserves structure."""
flow = Flow(initial_state=StateWithClear())
flow.kickoff()
assert isinstance(flow.state, StateWithClear)
assert isinstance(flow.state.clear, str)
assert flow.state.clear == "action"
assert flow.state.status == "active"
def test_flow_state_modification_preserves_basemodel():
"""Test that modifying flow state preserves BaseModel structure."""
class ModifiableState(BaseModel):
items: list = [1, 2, 3]
counter: int = 0
class TestFlow(Flow[ModifiableState]):
@Flow.start()
def modify_state(self):
self.state.counter += 1
self.state.items.append(4)
flow = TestFlow(initial_state=ModifiableState())
flow.kickoff()
assert isinstance(flow.state, ModifiableState)
assert not isinstance(flow.state, dict)
assert flow.state.counter == 1
assert flow.state.items == [1, 2, 3, 4]
def test_flow_with_inputs_preserves_basemodel():
"""Test that providing inputs to flow preserves BaseModel structure."""
class InputState(BaseModel):
items: list = []
name: str = ""
flow = Flow(initial_state=InputState())
flow.kickoff(inputs={"name": "test_flow", "items": [5, 6, 7]})
assert isinstance(flow.state, InputState)
assert not isinstance(flow.state, dict)
assert flow.state.name == "test_flow"
assert flow.state.items == [5, 6, 7]
def test_reproduction_case_from_issue_3147():
"""Test the exact reproduction case from GitHub issue #3147."""
class MyState(BaseModel):
items: list = [1, 2, 3]
metadata: dict = {"x": 1}
flow = Flow(initial_state=MyState())
flow.kickoff()
assert isinstance(flow.state.items, list)
assert len(flow.state.items) == 3
assert flow.state.items == [1, 2, 3]
assert not callable(flow.state.items)
assert str(type(flow.state.items)) != "<class 'builtin_function_or_method'>"