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feat: add flow_structure() serializer for Flow class introspection (#5021)
* feat: add flow_structure() serializer for Flow class introspection Adds a new flow_serializer module that introspects a Flow class and returns a JSON-serializable dictionary describing its complete graph structure. This enables Studio UI to render visual flow graphs (analogous to how crew_structure() works for Crews). The serializer extracts: - Method metadata (type, triggers, conditions, router paths) - Edge graph (listen and route edges between methods) - State schema (from Pydantic model if typed) - Human feedback and Crew reference detection - Flow input detection Includes 23 comprehensive tests covering linear flows, routers, AND/OR conditions, human feedback, crew detection, state schemas, edge cases, and JSON serialization. * fix: lint — ruff check + format compliance for flow_serializer * fix: address review — PydanticUndefined bug, FlowCondition tuple handling, dead code cleanup, inheritance tests 1. Fix PydanticUndefined default handling (real bug) — required fields were serialized with sentinel value instead of null 2. Fix FlowCondition tuple type in _extract_all_methods_from_condition — tuple conditions now properly extracted 3. Remove dead get_flow_inputs branch that did nothing 4. Document _detect_crew_reference as best-effort heuristic 5. Add 2 inheritance tests (parent→child method propagation) --------- Co-authored-by: Joao Moura <joao@crewai.com>
This commit is contained in:
alex-clawd
@@ -6,6 +6,7 @@ from crewai.flow.async_feedback import (
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)
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from crewai.flow.flow import Flow, and_, listen, or_, router, start
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from crewai.flow.flow_config import flow_config
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from crewai.flow.flow_serializer import flow_structure
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from crewai.flow.human_feedback import HumanFeedbackResult, human_feedback
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from crewai.flow.input_provider import InputProvider, InputResponse
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from crewai.flow.persistence import persist
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@@ -29,6 +30,7 @@ __all__ = [
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"and_",
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"build_flow_structure",
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"flow_config",
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"flow_structure",
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"human_feedback",
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"listen",
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"or_",
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619
lib/crewai/src/crewai/flow/flow_serializer.py
Normal file
619
lib/crewai/src/crewai/flow/flow_serializer.py
Normal file
@@ -0,0 +1,619 @@
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"""Flow structure serializer for introspecting Flow classes.
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This module provides the flow_structure() function that analyzes a Flow class
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and returns a JSON-serializable dictionary describing its graph structure.
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This is used by Studio UI to render a visual flow graph.
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Example:
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>>> from crewai.flow import Flow, start, listen
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>>> from crewai.flow.flow_serializer import flow_structure
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>>>
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>>> class MyFlow(Flow):
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... @start()
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... def begin(self):
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... return "started"
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...
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... @listen(begin)
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... def process(self):
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... return "done"
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>>>
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>>> structure = flow_structure(MyFlow)
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>>> print(structure["name"])
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'MyFlow'
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"""
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from __future__ import annotations
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import inspect
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import logging
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import re
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import textwrap
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from typing import Any, TypedDict, get_args, get_origin
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from pydantic import BaseModel
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from pydantic_core import PydanticUndefined
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from crewai.flow.flow_wrappers import (
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FlowCondition,
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FlowMethod,
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ListenMethod,
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RouterMethod,
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StartMethod,
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)
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logger = logging.getLogger(__name__)
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class MethodInfo(TypedDict, total=False):
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"""Information about a single flow method.
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Attributes:
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name: The method name.
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type: Method type - start, listen, router, or start_router.
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trigger_methods: List of method names that trigger this method.
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condition_type: 'AND' or 'OR' for composite conditions, null otherwise.
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router_paths: For routers, the possible route names returned.
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has_human_feedback: Whether the method has @human_feedback decorator.
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has_crew: Whether the method body references a Crew.
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"""
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name: str
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type: str
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trigger_methods: list[str]
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condition_type: str | None
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router_paths: list[str]
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has_human_feedback: bool
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has_crew: bool
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class EdgeInfo(TypedDict, total=False):
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"""Information about an edge between flow methods.
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Attributes:
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from_method: Source method name.
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to_method: Target method name.
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edge_type: Type of edge - 'listen' or 'route'.
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condition: Route name for router edges, null for listen edges.
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"""
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from_method: str
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to_method: str
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edge_type: str
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condition: str | None
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class StateFieldInfo(TypedDict, total=False):
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"""Information about a state field.
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Attributes:
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name: Field name.
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type: Field type as string.
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default: Default value if any.
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"""
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name: str
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type: str
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default: Any
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class StateSchemaInfo(TypedDict, total=False):
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"""Information about the flow's state schema.
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Attributes:
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fields: List of field information.
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"""
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fields: list[StateFieldInfo]
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class FlowStructureInfo(TypedDict, total=False):
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"""Complete flow structure information.
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Attributes:
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name: Flow class name.
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description: Flow docstring if available.
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methods: List of method information.
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edges: List of edge information.
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state_schema: State schema if typed, null otherwise.
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inputs: Detected flow inputs if available.
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"""
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name: str
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description: str | None
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methods: list[MethodInfo]
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edges: list[EdgeInfo]
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state_schema: StateSchemaInfo | None
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inputs: list[str]
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def _get_method_type(
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method_name: str,
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method: Any,
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start_methods: list[str],
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routers: set[str],
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) -> str:
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"""Determine the type of a flow method.
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Args:
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method_name: Name of the method.
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method: The method object.
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start_methods: List of start method names.
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routers: Set of router method names.
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Returns:
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One of: 'start', 'listen', 'router', or 'start_router'.
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"""
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is_start = method_name in start_methods or getattr(
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method, "__is_start_method__", False
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)
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is_router = method_name in routers or getattr(method, "__is_router__", False)
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if is_start and is_router:
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return "start_router"
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if is_start:
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return "start"
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if is_router:
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return "router"
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return "listen"
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def _has_human_feedback(method: Any) -> bool:
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"""Check if a method has the @human_feedback decorator.
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Args:
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method: The method object to check.
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Returns:
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True if the method has __human_feedback_config__ attribute.
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"""
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return hasattr(method, "__human_feedback_config__")
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def _detect_crew_reference(method: Any) -> bool:
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"""Detect if a method body references a Crew.
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Checks for patterns like:
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- .crew() method calls
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- Crew( instantiation
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- References to Crew class in type hints
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Note:
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This is a **best-effort heuristic for UI hints**, not a guarantee.
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Uses inspect.getsource + regex which can false-positive on comments
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or string literals, and may fail on dynamically generated methods
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or lambdas. Do not rely on this for correctness-critical logic.
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Args:
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method: The method object to inspect.
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Returns:
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True if crew reference detected, False otherwise.
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"""
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try:
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# Get the underlying function from wrapper
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func = method
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if hasattr(method, "_meth"):
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func = method._meth
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elif hasattr(method, "__wrapped__"):
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func = method.__wrapped__
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source = inspect.getsource(func)
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source = textwrap.dedent(source)
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# Patterns that indicate Crew usage
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crew_patterns = [
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r"\.crew\(\)", # .crew() method call
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r"Crew\s*\(", # Crew( instantiation
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r":\s*Crew\b", # Type hint with Crew
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r"->.*Crew", # Return type hint with Crew
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]
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for pattern in crew_patterns:
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if re.search(pattern, source):
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return True
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return False
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except (OSError, TypeError):
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# Can't get source code - assume no crew reference
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return False
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def _extract_trigger_methods(method: Any) -> tuple[list[str], str | None]:
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"""Extract trigger methods and condition type from a method.
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Args:
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method: The method object to inspect.
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Returns:
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Tuple of (trigger_methods list, condition_type or None).
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"""
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trigger_methods: list[str] = []
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condition_type: str | None = None
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# First try __trigger_methods__ (populated for simple conditions)
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if hasattr(method, "__trigger_methods__") and method.__trigger_methods__:
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trigger_methods = [str(m) for m in method.__trigger_methods__]
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# For complex conditions (or_/and_ combinators), extract from __trigger_condition__
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if (
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not trigger_methods
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and hasattr(method, "__trigger_condition__")
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and method.__trigger_condition__
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):
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trigger_condition = method.__trigger_condition__
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trigger_methods = _extract_all_methods_from_condition(trigger_condition)
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if hasattr(method, "__condition_type__") and method.__condition_type__:
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condition_type = str(method.__condition_type__)
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return trigger_methods, condition_type
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def _extract_router_paths(
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method: Any, router_paths_registry: dict[str, list[str]]
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) -> list[str]:
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"""Extract router paths for a router method.
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Args:
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method: The method object.
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router_paths_registry: The class-level _router_paths dict.
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Returns:
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List of possible route names.
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"""
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method_name = getattr(method, "__name__", "")
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# First check if there are __router_paths__ on the method itself
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if hasattr(method, "__router_paths__") and method.__router_paths__:
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return [str(p) for p in method.__router_paths__]
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# Then check the class-level registry
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if method_name in router_paths_registry:
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return [str(p) for p in router_paths_registry[method_name]]
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return []
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def _extract_all_methods_from_condition(
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condition: str | FlowCondition | dict[str, Any] | list[Any],
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) -> list[str]:
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"""Extract all method names from a condition tree recursively.
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Args:
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condition: Can be a string, FlowCondition tuple, dict, or list.
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Returns:
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List of all method names found in the condition.
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"""
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if isinstance(condition, str):
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return [condition]
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if isinstance(condition, tuple) and len(condition) == 2:
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# FlowCondition: (condition_type, methods_list)
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_, methods = condition
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if isinstance(methods, list):
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result: list[str] = []
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for m in methods:
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result.extend(_extract_all_methods_from_condition(m))
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return result
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return []
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if isinstance(condition, dict):
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conditions_list = condition.get("conditions", [])
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methods: list[str] = []
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for sub_cond in conditions_list:
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methods.extend(_extract_all_methods_from_condition(sub_cond))
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return methods
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if isinstance(condition, list):
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methods = []
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for item in condition:
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methods.extend(_extract_all_methods_from_condition(item))
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return methods
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return []
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def _generate_edges(
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listeners: dict[str, tuple[str, list[str]] | FlowCondition],
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routers: set[str],
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router_paths: dict[str, list[str]],
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all_methods: set[str],
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) -> list[EdgeInfo]:
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"""Generate edges from listeners and routers.
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Args:
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listeners: Map of listener_name -> (condition_type, trigger_methods) or FlowCondition.
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routers: Set of router method names.
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router_paths: Map of router_name -> possible return values.
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all_methods: Set of all method names in the flow.
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Returns:
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List of EdgeInfo dictionaries.
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"""
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edges: list[EdgeInfo] = []
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# Generate edges from listeners (listen edges)
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for listener_name, condition_data in listeners.items():
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trigger_methods: list[str] = []
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if isinstance(condition_data, tuple) and len(condition_data) == 2:
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_condition_type, methods = condition_data
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trigger_methods = [str(m) for m in methods]
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elif isinstance(condition_data, dict):
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trigger_methods = _extract_all_methods_from_condition(condition_data)
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# Create edges from each trigger to the listener
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edges.extend(
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EdgeInfo(
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from_method=trigger,
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to_method=listener_name,
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edge_type="listen",
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condition=None,
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)
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for trigger in trigger_methods
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if trigger in all_methods
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)
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# Generate edges from routers (route edges)
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for router_name, paths in router_paths.items():
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for path in paths:
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# Find listeners that listen to this path
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for listener_name, condition_data in listeners.items():
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path_triggers: list[str] = []
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if isinstance(condition_data, tuple) and len(condition_data) == 2:
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_, methods = condition_data
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path_triggers = [str(m) for m in methods]
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elif isinstance(condition_data, dict):
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path_triggers = _extract_all_methods_from_condition(condition_data)
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if str(path) in path_triggers:
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edges.append(
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EdgeInfo(
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from_method=router_name,
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to_method=listener_name,
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edge_type="route",
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condition=str(path),
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)
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)
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return edges
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def _extract_state_schema(flow_class: type) -> StateSchemaInfo | None:
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"""Extract state schema from a Flow class.
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Checks for:
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- Generic type parameter (Flow[MyState])
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- initial_state class attribute
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Args:
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flow_class: The Flow class to inspect.
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Returns:
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StateSchemaInfo if a Pydantic model state is detected, None otherwise.
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"""
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state_type: type | None = None
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# Check for _initial_state_t set by __class_getitem__
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if hasattr(flow_class, "_initial_state_t"):
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state_type = flow_class._initial_state_t
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# Check initial_state class attribute
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if state_type is None and hasattr(flow_class, "initial_state"):
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initial_state = flow_class.initial_state
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if isinstance(initial_state, type) and issubclass(initial_state, BaseModel):
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state_type = initial_state
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elif isinstance(initial_state, BaseModel):
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state_type = type(initial_state)
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# Check __orig_bases__ for generic parameters
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if state_type is None and hasattr(flow_class, "__orig_bases__"):
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for base in flow_class.__orig_bases__:
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origin = get_origin(base)
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if origin is not None:
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args = get_args(base)
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if args:
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candidate = args[0]
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if isinstance(candidate, type) and issubclass(candidate, BaseModel):
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state_type = candidate
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break
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|
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if state_type is None or not issubclass(state_type, BaseModel):
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return None
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# Extract fields from the Pydantic model
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fields: list[StateFieldInfo] = []
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try:
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model_fields = state_type.model_fields
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for field_name, field_info in model_fields.items():
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field_type_str = "Any"
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if field_info.annotation is not None:
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field_type_str = str(field_info.annotation)
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# Clean up the type string
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field_type_str = field_type_str.replace("typing.", "")
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field_type_str = field_type_str.replace("<class '", "").replace(
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"'>", ""
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)
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|
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default_value = None
|
||||
if (
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field_info.default is not PydanticUndefined
|
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and field_info.default is not None
|
||||
and not callable(field_info.default)
|
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):
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try:
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# Try to serialize the default value
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||||
default_value = field_info.default
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||||
except Exception:
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||||
default_value = str(field_info.default)
|
||||
|
||||
fields.append(
|
||||
StateFieldInfo(
|
||||
name=field_name,
|
||||
type=field_type_str,
|
||||
default=default_value,
|
||||
)
|
||||
)
|
||||
except Exception:
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logger.debug(
|
||||
"Failed to extract state schema fields for %s", flow_class.__name__
|
||||
)
|
||||
|
||||
return StateSchemaInfo(fields=fields) if fields else None
|
||||
|
||||
|
||||
def _detect_flow_inputs(flow_class: type) -> list[str]:
|
||||
"""Detect flow input parameters.
|
||||
|
||||
Inspects the __init__ signature for custom parameters beyond standard Flow params.
|
||||
|
||||
Args:
|
||||
flow_class: The Flow class to inspect.
|
||||
|
||||
Returns:
|
||||
List of detected input names.
|
||||
"""
|
||||
inputs: list[str] = []
|
||||
|
||||
# Check for inputs in __init__ signature beyond standard Flow params
|
||||
try:
|
||||
init_sig = inspect.signature(flow_class.__init__)
|
||||
standard_params = {
|
||||
"self",
|
||||
"persistence",
|
||||
"tracing",
|
||||
"suppress_flow_events",
|
||||
"max_method_calls",
|
||||
"kwargs",
|
||||
}
|
||||
inputs.extend(
|
||||
param_name
|
||||
for param_name in init_sig.parameters
|
||||
if param_name not in standard_params and not param_name.startswith("_")
|
||||
)
|
||||
except Exception:
|
||||
logger.debug(
|
||||
"Failed to detect inputs from __init__ for %s", flow_class.__name__
|
||||
)
|
||||
|
||||
return inputs
|
||||
|
||||
|
||||
def flow_structure(flow_class: type) -> FlowStructureInfo:
|
||||
"""Introspect a Flow class and return its structure as a JSON-serializable dict.
|
||||
|
||||
This function analyzes a Flow CLASS (not instance) and returns complete
|
||||
information about its graph structure including methods, edges, and state.
|
||||
|
||||
Args:
|
||||
flow_class: A Flow class (not an instance) to introspect.
|
||||
|
||||
Returns:
|
||||
FlowStructureInfo dictionary containing:
|
||||
- name: Flow class name
|
||||
- description: Docstring if available
|
||||
- methods: List of method info dicts
|
||||
- edges: List of edge info dicts
|
||||
- state_schema: State schema if typed, None otherwise
|
||||
- inputs: Detected input names
|
||||
|
||||
Raises:
|
||||
TypeError: If flow_class is not a class.
|
||||
|
||||
Example:
|
||||
>>> structure = flow_structure(MyFlow)
|
||||
>>> print(structure["name"])
|
||||
'MyFlow'
|
||||
>>> for method in structure["methods"]:
|
||||
... print(method["name"], method["type"])
|
||||
"""
|
||||
if not isinstance(flow_class, type):
|
||||
raise TypeError(
|
||||
f"flow_structure requires a Flow class, not an instance. "
|
||||
f"Got {type(flow_class).__name__}"
|
||||
)
|
||||
|
||||
# Get class-level metadata set by FlowMeta
|
||||
start_methods: list[str] = getattr(flow_class, "_start_methods", [])
|
||||
listeners: dict[str, Any] = getattr(flow_class, "_listeners", {})
|
||||
routers: set[str] = getattr(flow_class, "_routers", set())
|
||||
router_paths_registry: dict[str, list[str]] = getattr(
|
||||
flow_class, "_router_paths", {}
|
||||
)
|
||||
|
||||
# Collect all flow methods
|
||||
methods: list[MethodInfo] = []
|
||||
all_method_names: set[str] = set()
|
||||
|
||||
for attr_name in dir(flow_class):
|
||||
if attr_name.startswith("_"):
|
||||
continue
|
||||
|
||||
try:
|
||||
attr = getattr(flow_class, attr_name)
|
||||
except AttributeError:
|
||||
continue
|
||||
|
||||
# Check if it's a flow method
|
||||
is_flow_method = (
|
||||
isinstance(attr, (FlowMethod, StartMethod, ListenMethod, RouterMethod))
|
||||
or hasattr(attr, "__is_flow_method__")
|
||||
or hasattr(attr, "__is_start_method__")
|
||||
or hasattr(attr, "__trigger_methods__")
|
||||
or hasattr(attr, "__is_router__")
|
||||
)
|
||||
|
||||
if not is_flow_method:
|
||||
continue
|
||||
|
||||
all_method_names.add(attr_name)
|
||||
|
||||
# Get method type
|
||||
method_type = _get_method_type(attr_name, attr, start_methods, routers)
|
||||
|
||||
# Get trigger methods and condition type
|
||||
trigger_methods, condition_type = _extract_trigger_methods(attr)
|
||||
|
||||
# Get router paths if applicable
|
||||
router_paths_list: list[str] = []
|
||||
if method_type in ("router", "start_router"):
|
||||
router_paths_list = _extract_router_paths(attr, router_paths_registry)
|
||||
|
||||
# Check for human feedback
|
||||
has_hf = _has_human_feedback(attr)
|
||||
|
||||
# Check for crew reference
|
||||
has_crew = _detect_crew_reference(attr)
|
||||
|
||||
method_info = MethodInfo(
|
||||
name=attr_name,
|
||||
type=method_type,
|
||||
trigger_methods=trigger_methods,
|
||||
condition_type=condition_type,
|
||||
router_paths=router_paths_list,
|
||||
has_human_feedback=has_hf,
|
||||
has_crew=has_crew,
|
||||
)
|
||||
methods.append(method_info)
|
||||
|
||||
# Generate edges
|
||||
edges = _generate_edges(listeners, routers, router_paths_registry, all_method_names)
|
||||
|
||||
# Extract state schema
|
||||
state_schema = _extract_state_schema(flow_class)
|
||||
|
||||
# Detect inputs
|
||||
inputs = _detect_flow_inputs(flow_class)
|
||||
|
||||
# Get flow description from docstring
|
||||
description: str | None = None
|
||||
if flow_class.__doc__:
|
||||
description = flow_class.__doc__.strip()
|
||||
|
||||
return FlowStructureInfo(
|
||||
name=flow_class.__name__,
|
||||
description=description,
|
||||
methods=methods,
|
||||
edges=edges,
|
||||
state_schema=state_schema,
|
||||
inputs=inputs,
|
||||
)
|
||||
795
lib/crewai/tests/test_flow_serializer.py
Normal file
795
lib/crewai/tests/test_flow_serializer.py
Normal file
@@ -0,0 +1,795 @@
|
||||
"""Tests for flow_serializer.py - Flow structure serialization for Studio UI."""
|
||||
|
||||
from typing import Literal
|
||||
|
||||
import pytest
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from crewai.flow.flow import Flow, and_, listen, or_, router, start
|
||||
from crewai.flow.flow_serializer import flow_structure
|
||||
from crewai.flow.human_feedback import human_feedback
|
||||
|
||||
|
||||
class TestSimpleLinearFlow:
|
||||
"""Test simple linear flow (start → listen → listen)."""
|
||||
|
||||
def test_linear_flow_structure(self):
|
||||
"""Test a simple sequential flow structure."""
|
||||
|
||||
class LinearFlow(Flow):
|
||||
"""A simple linear flow for testing."""
|
||||
|
||||
@start()
|
||||
def begin(self):
|
||||
return "started"
|
||||
|
||||
@listen(begin)
|
||||
def process(self):
|
||||
return "processed"
|
||||
|
||||
@listen(process)
|
||||
def finalize(self):
|
||||
return "done"
|
||||
|
||||
structure = flow_structure(LinearFlow)
|
||||
|
||||
assert structure["name"] == "LinearFlow"
|
||||
assert structure["description"] == "A simple linear flow for testing."
|
||||
assert len(structure["methods"]) == 3
|
||||
|
||||
# Check method types
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
assert method_map["begin"]["type"] == "start"
|
||||
assert method_map["process"]["type"] == "listen"
|
||||
assert method_map["finalize"]["type"] == "listen"
|
||||
|
||||
# Check edges
|
||||
assert len(structure["edges"]) == 2
|
||||
|
||||
edge_pairs = [(e["from_method"], e["to_method"]) for e in structure["edges"]]
|
||||
assert ("begin", "process") in edge_pairs
|
||||
assert ("process", "finalize") in edge_pairs
|
||||
|
||||
# All edges should be listen type
|
||||
for edge in structure["edges"]:
|
||||
assert edge["edge_type"] == "listen"
|
||||
assert edge["condition"] is None
|
||||
|
||||
|
||||
class TestRouterFlow:
|
||||
"""Test flow with router branching."""
|
||||
|
||||
def test_router_flow_structure(self):
|
||||
"""Test a flow with router that branches to different paths."""
|
||||
|
||||
class BranchingFlow(Flow):
|
||||
@start()
|
||||
def init(self):
|
||||
return "initialized"
|
||||
|
||||
@router(init)
|
||||
def decide(self) -> Literal["path_a", "path_b"]:
|
||||
return "path_a"
|
||||
|
||||
@listen("path_a")
|
||||
def handle_a(self):
|
||||
return "handled_a"
|
||||
|
||||
@listen("path_b")
|
||||
def handle_b(self):
|
||||
return "handled_b"
|
||||
|
||||
structure = flow_structure(BranchingFlow)
|
||||
|
||||
assert structure["name"] == "BranchingFlow"
|
||||
assert len(structure["methods"]) == 4
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
# Check method types
|
||||
assert method_map["init"]["type"] == "start"
|
||||
assert method_map["decide"]["type"] == "router"
|
||||
assert method_map["handle_a"]["type"] == "listen"
|
||||
assert method_map["handle_b"]["type"] == "listen"
|
||||
|
||||
# Check router paths
|
||||
assert "path_a" in method_map["decide"]["router_paths"]
|
||||
assert "path_b" in method_map["decide"]["router_paths"]
|
||||
|
||||
# Check edges
|
||||
# Should have: init -> decide (listen), decide -> handle_a (route), decide -> handle_b (route)
|
||||
listen_edges = [e for e in structure["edges"] if e["edge_type"] == "listen"]
|
||||
route_edges = [e for e in structure["edges"] if e["edge_type"] == "route"]
|
||||
|
||||
assert len(listen_edges) == 1
|
||||
assert listen_edges[0]["from_method"] == "init"
|
||||
assert listen_edges[0]["to_method"] == "decide"
|
||||
|
||||
assert len(route_edges) == 2
|
||||
route_targets = {e["to_method"] for e in route_edges}
|
||||
assert "handle_a" in route_targets
|
||||
assert "handle_b" in route_targets
|
||||
|
||||
# Check route conditions
|
||||
route_conditions = {e["to_method"]: e["condition"] for e in route_edges}
|
||||
assert route_conditions["handle_a"] == "path_a"
|
||||
assert route_conditions["handle_b"] == "path_b"
|
||||
|
||||
|
||||
class TestAndOrConditions:
|
||||
"""Test flow with AND/OR conditions."""
|
||||
|
||||
def test_and_condition_flow(self):
|
||||
"""Test a flow where a method waits for multiple methods (AND)."""
|
||||
|
||||
class AndConditionFlow(Flow):
|
||||
@start()
|
||||
def step_a(self):
|
||||
return "a"
|
||||
|
||||
@start()
|
||||
def step_b(self):
|
||||
return "b"
|
||||
|
||||
@listen(and_(step_a, step_b))
|
||||
def converge(self):
|
||||
return "converged"
|
||||
|
||||
structure = flow_structure(AndConditionFlow)
|
||||
|
||||
assert len(structure["methods"]) == 3
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
assert method_map["step_a"]["type"] == "start"
|
||||
assert method_map["step_b"]["type"] == "start"
|
||||
assert method_map["converge"]["type"] == "listen"
|
||||
|
||||
# Check condition type
|
||||
assert method_map["converge"]["condition_type"] == "AND"
|
||||
|
||||
# Check trigger methods
|
||||
triggers = method_map["converge"]["trigger_methods"]
|
||||
assert "step_a" in triggers
|
||||
assert "step_b" in triggers
|
||||
|
||||
# Check edges - should have 2 edges to converge
|
||||
converge_edges = [e for e in structure["edges"] if e["to_method"] == "converge"]
|
||||
assert len(converge_edges) == 2
|
||||
|
||||
def test_or_condition_flow(self):
|
||||
"""Test a flow where a method is triggered by any of multiple methods (OR)."""
|
||||
|
||||
class OrConditionFlow(Flow):
|
||||
@start()
|
||||
def path_1(self):
|
||||
return "1"
|
||||
|
||||
@start()
|
||||
def path_2(self):
|
||||
return "2"
|
||||
|
||||
@listen(or_(path_1, path_2))
|
||||
def handle_any(self):
|
||||
return "handled"
|
||||
|
||||
structure = flow_structure(OrConditionFlow)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
assert method_map["handle_any"]["condition_type"] == "OR"
|
||||
|
||||
triggers = method_map["handle_any"]["trigger_methods"]
|
||||
assert "path_1" in triggers
|
||||
assert "path_2" in triggers
|
||||
|
||||
|
||||
class TestHumanFeedbackMethods:
|
||||
"""Test flow with @human_feedback decorated methods."""
|
||||
|
||||
def test_human_feedback_detection(self):
|
||||
"""Test that human feedback methods are correctly identified."""
|
||||
|
||||
class HumanFeedbackFlow(Flow):
|
||||
@start()
|
||||
@human_feedback(
|
||||
message="Please review:",
|
||||
emit=["approved", "rejected"],
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
def review_step(self):
|
||||
return "content to review"
|
||||
|
||||
@listen("approved")
|
||||
def handle_approved(self):
|
||||
return "approved"
|
||||
|
||||
@listen("rejected")
|
||||
def handle_rejected(self):
|
||||
return "rejected"
|
||||
|
||||
structure = flow_structure(HumanFeedbackFlow)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
# review_step should have human feedback
|
||||
assert method_map["review_step"]["has_human_feedback"] is True
|
||||
# It's a start+router (due to emit)
|
||||
assert method_map["review_step"]["type"] == "start_router"
|
||||
assert "approved" in method_map["review_step"]["router_paths"]
|
||||
assert "rejected" in method_map["review_step"]["router_paths"]
|
||||
|
||||
# Other methods should not have human feedback
|
||||
assert method_map["handle_approved"]["has_human_feedback"] is False
|
||||
assert method_map["handle_rejected"]["has_human_feedback"] is False
|
||||
|
||||
|
||||
class TestCrewReferences:
|
||||
"""Test detection of Crew references in method bodies."""
|
||||
|
||||
def test_crew_detection_with_crew_call(self):
|
||||
"""Test that .crew() calls are detected."""
|
||||
|
||||
class FlowWithCrew(Flow):
|
||||
@start()
|
||||
def run_crew(self):
|
||||
# Simulating crew usage pattern
|
||||
# result = MyCrew().crew().kickoff()
|
||||
return "result"
|
||||
|
||||
@listen(run_crew)
|
||||
def no_crew(self):
|
||||
return "done"
|
||||
|
||||
structure = flow_structure(FlowWithCrew)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
# Note: Since the actual .crew() call is in a comment/string,
|
||||
# the detection might not trigger. In real code it would.
|
||||
# We're testing the mechanism exists.
|
||||
assert "has_crew" in method_map["run_crew"]
|
||||
assert "has_crew" in method_map["no_crew"]
|
||||
|
||||
def test_no_crew_when_absent(self):
|
||||
"""Test that methods without Crew refs return has_crew=False."""
|
||||
|
||||
class SimpleNonCrewFlow(Flow):
|
||||
@start()
|
||||
def calculate(self):
|
||||
return 1 + 1
|
||||
|
||||
@listen(calculate)
|
||||
def display(self):
|
||||
return "result"
|
||||
|
||||
structure = flow_structure(SimpleNonCrewFlow)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
assert method_map["calculate"]["has_crew"] is False
|
||||
assert method_map["display"]["has_crew"] is False
|
||||
|
||||
|
||||
class TestTypedStateSchema:
|
||||
"""Test flow with typed Pydantic state."""
|
||||
|
||||
def test_pydantic_state_schema_extraction(self):
|
||||
"""Test extracting state schema from a Flow with Pydantic state."""
|
||||
|
||||
class MyState(BaseModel):
|
||||
counter: int = 0
|
||||
message: str = ""
|
||||
items: list[str] = Field(default_factory=list)
|
||||
|
||||
class TypedStateFlow(Flow[MyState]):
|
||||
initial_state = MyState
|
||||
|
||||
@start()
|
||||
def increment(self):
|
||||
self.state.counter += 1
|
||||
return self.state.counter
|
||||
|
||||
@listen(increment)
|
||||
def display(self):
|
||||
return f"Count: {self.state.counter}"
|
||||
|
||||
structure = flow_structure(TypedStateFlow)
|
||||
|
||||
assert structure["state_schema"] is not None
|
||||
fields = structure["state_schema"]["fields"]
|
||||
|
||||
field_names = {f["name"] for f in fields}
|
||||
assert "counter" in field_names
|
||||
assert "message" in field_names
|
||||
assert "items" in field_names
|
||||
|
||||
# Check types
|
||||
field_map = {f["name"]: f for f in fields}
|
||||
assert "int" in field_map["counter"]["type"]
|
||||
assert "str" in field_map["message"]["type"]
|
||||
|
||||
# Check defaults
|
||||
assert field_map["counter"]["default"] == 0
|
||||
assert field_map["message"]["default"] == ""
|
||||
|
||||
def test_dict_state_returns_none(self):
|
||||
"""Test that flows using dict state return None for state_schema."""
|
||||
|
||||
class DictStateFlow(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
self.state["count"] = 1
|
||||
return "started"
|
||||
|
||||
structure = flow_structure(DictStateFlow)
|
||||
|
||||
assert structure["state_schema"] is None
|
||||
|
||||
|
||||
class TestEdgeCases:
|
||||
"""Test edge cases and special scenarios."""
|
||||
|
||||
def test_start_router_combo(self):
|
||||
"""Test a method that is both @start and a router (via human_feedback emit)."""
|
||||
|
||||
class StartRouterFlow(Flow):
|
||||
@start()
|
||||
@human_feedback(
|
||||
message="Review:",
|
||||
emit=["continue", "stop"],
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
def entry_point(self):
|
||||
return "data"
|
||||
|
||||
@listen("continue")
|
||||
def proceed(self):
|
||||
return "proceeding"
|
||||
|
||||
@listen("stop")
|
||||
def halt(self):
|
||||
return "halted"
|
||||
|
||||
structure = flow_structure(StartRouterFlow)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
assert method_map["entry_point"]["type"] == "start_router"
|
||||
assert method_map["entry_point"]["has_human_feedback"] is True
|
||||
assert "continue" in method_map["entry_point"]["router_paths"]
|
||||
assert "stop" in method_map["entry_point"]["router_paths"]
|
||||
|
||||
def test_multiple_start_methods(self):
|
||||
"""Test a flow with multiple start methods."""
|
||||
|
||||
class MultiStartFlow(Flow):
|
||||
@start()
|
||||
def start_a(self):
|
||||
return "a"
|
||||
|
||||
@start()
|
||||
def start_b(self):
|
||||
return "b"
|
||||
|
||||
@listen(and_(start_a, start_b))
|
||||
def combine(self):
|
||||
return "combined"
|
||||
|
||||
structure = flow_structure(MultiStartFlow)
|
||||
|
||||
start_methods = [m for m in structure["methods"] if m["type"] == "start"]
|
||||
assert len(start_methods) == 2
|
||||
|
||||
start_names = {m["name"] for m in start_methods}
|
||||
assert "start_a" in start_names
|
||||
assert "start_b" in start_names
|
||||
|
||||
def test_orphan_methods(self):
|
||||
"""Test that orphan methods (not connected to flow) are still captured."""
|
||||
|
||||
class FlowWithOrphan(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
return "started"
|
||||
|
||||
@listen(begin)
|
||||
def connected(self):
|
||||
return "connected"
|
||||
|
||||
@listen("never_triggered")
|
||||
def orphan(self):
|
||||
return "orphan"
|
||||
|
||||
structure = flow_structure(FlowWithOrphan)
|
||||
|
||||
method_names = {m["name"] for m in structure["methods"]}
|
||||
assert "orphan" in method_names
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
assert method_map["orphan"]["trigger_methods"] == ["never_triggered"]
|
||||
|
||||
def test_empty_flow(self):
|
||||
"""Test building structure for a flow with no methods."""
|
||||
|
||||
class EmptyFlow(Flow):
|
||||
pass
|
||||
|
||||
structure = flow_structure(EmptyFlow)
|
||||
|
||||
assert structure["name"] == "EmptyFlow"
|
||||
assert structure["methods"] == []
|
||||
assert structure["edges"] == []
|
||||
assert structure["state_schema"] is None
|
||||
|
||||
def test_flow_with_docstring(self):
|
||||
"""Test that flow docstring is captured."""
|
||||
|
||||
class DocumentedFlow(Flow):
|
||||
"""This is a well-documented flow.
|
||||
|
||||
It has multiple lines of documentation.
|
||||
"""
|
||||
|
||||
@start()
|
||||
def begin(self):
|
||||
return "started"
|
||||
|
||||
structure = flow_structure(DocumentedFlow)
|
||||
|
||||
assert structure["description"] is not None
|
||||
assert "well-documented flow" in structure["description"]
|
||||
|
||||
def test_flow_without_docstring(self):
|
||||
"""Test that missing docstring returns None."""
|
||||
|
||||
class UndocumentedFlow(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
return "started"
|
||||
|
||||
structure = flow_structure(UndocumentedFlow)
|
||||
|
||||
assert structure["description"] is None
|
||||
|
||||
def test_nested_conditions(self):
|
||||
"""Test flow with nested AND/OR conditions."""
|
||||
|
||||
class NestedConditionFlow(Flow):
|
||||
@start()
|
||||
def a(self):
|
||||
return "a"
|
||||
|
||||
@start()
|
||||
def b(self):
|
||||
return "b"
|
||||
|
||||
@start()
|
||||
def c(self):
|
||||
return "c"
|
||||
|
||||
@listen(or_(and_(a, b), c))
|
||||
def complex_trigger(self):
|
||||
return "triggered"
|
||||
|
||||
structure = flow_structure(NestedConditionFlow)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
# Should have triggers for a, b, and c
|
||||
triggers = method_map["complex_trigger"]["trigger_methods"]
|
||||
assert len(triggers) == 3
|
||||
assert "a" in triggers
|
||||
assert "b" in triggers
|
||||
assert "c" in triggers
|
||||
|
||||
|
||||
class TestErrorHandling:
|
||||
"""Test error handling and validation."""
|
||||
|
||||
def test_instance_raises_type_error(self):
|
||||
"""Test that passing an instance raises TypeError."""
|
||||
|
||||
class TestFlow(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
return "started"
|
||||
|
||||
flow_instance = TestFlow()
|
||||
|
||||
with pytest.raises(TypeError) as exc_info:
|
||||
flow_structure(flow_instance)
|
||||
|
||||
assert "requires a Flow class, not an instance" in str(exc_info.value)
|
||||
|
||||
def test_non_class_raises_type_error(self):
|
||||
"""Test that passing non-class raises TypeError."""
|
||||
|
||||
with pytest.raises(TypeError):
|
||||
flow_structure("not a class")
|
||||
|
||||
with pytest.raises(TypeError):
|
||||
flow_structure(123)
|
||||
|
||||
|
||||
class TestEdgeGeneration:
|
||||
"""Test edge generation in various scenarios."""
|
||||
|
||||
def test_all_edges_generated_correctly(self):
|
||||
"""Verify all edges are correctly generated for a complex flow."""
|
||||
|
||||
class ComplexFlow(Flow):
|
||||
@start()
|
||||
def entry(self):
|
||||
return "started"
|
||||
|
||||
@listen(entry)
|
||||
def step_1(self):
|
||||
return "step_1"
|
||||
|
||||
@router(step_1)
|
||||
def branch(self) -> Literal["left", "right"]:
|
||||
return "left"
|
||||
|
||||
@listen("left")
|
||||
def left_path(self):
|
||||
return "left_done"
|
||||
|
||||
@listen("right")
|
||||
def right_path(self):
|
||||
return "right_done"
|
||||
|
||||
@listen(or_(left_path, right_path))
|
||||
def converge(self):
|
||||
return "done"
|
||||
|
||||
structure = flow_structure(ComplexFlow)
|
||||
|
||||
# Build edge map for easier checking
|
||||
edges = structure["edges"]
|
||||
|
||||
# Check listen edges
|
||||
listen_edges = [(e["from_method"], e["to_method"]) for e in edges if e["edge_type"] == "listen"]
|
||||
|
||||
assert ("entry", "step_1") in listen_edges
|
||||
assert ("step_1", "branch") in listen_edges
|
||||
assert ("left_path", "converge") in listen_edges
|
||||
assert ("right_path", "converge") in listen_edges
|
||||
|
||||
# Check route edges
|
||||
route_edges = [(e["from_method"], e["to_method"], e["condition"]) for e in edges if e["edge_type"] == "route"]
|
||||
|
||||
assert ("branch", "left_path", "left") in route_edges
|
||||
assert ("branch", "right_path", "right") in route_edges
|
||||
|
||||
def test_router_edge_conditions(self):
|
||||
"""Test that router edge conditions are properly set."""
|
||||
|
||||
class RouterConditionFlow(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
return "start"
|
||||
|
||||
@router(begin)
|
||||
def route(self) -> Literal["option_1", "option_2", "option_3"]:
|
||||
return "option_1"
|
||||
|
||||
@listen("option_1")
|
||||
def handle_1(self):
|
||||
return "1"
|
||||
|
||||
@listen("option_2")
|
||||
def handle_2(self):
|
||||
return "2"
|
||||
|
||||
@listen("option_3")
|
||||
def handle_3(self):
|
||||
return "3"
|
||||
|
||||
structure = flow_structure(RouterConditionFlow)
|
||||
|
||||
route_edges = [e for e in structure["edges"] if e["edge_type"] == "route"]
|
||||
|
||||
# Should have 3 route edges
|
||||
assert len(route_edges) == 3
|
||||
|
||||
conditions = {e["to_method"]: e["condition"] for e in route_edges}
|
||||
assert conditions["handle_1"] == "option_1"
|
||||
assert conditions["handle_2"] == "option_2"
|
||||
assert conditions["handle_3"] == "option_3"
|
||||
|
||||
|
||||
class TestMethodTypeClassification:
|
||||
"""Test method type classification."""
|
||||
|
||||
def test_all_method_types(self):
|
||||
"""Test classification of all method types."""
|
||||
|
||||
class AllTypesFlow(Flow):
|
||||
@start()
|
||||
def start_only(self):
|
||||
return "start"
|
||||
|
||||
@listen(start_only)
|
||||
def listen_only(self):
|
||||
return "listen"
|
||||
|
||||
@router(listen_only)
|
||||
def router_only(self) -> Literal["path"]:
|
||||
return "path"
|
||||
|
||||
@listen("path")
|
||||
def after_router(self):
|
||||
return "after"
|
||||
|
||||
@start()
|
||||
@human_feedback(
|
||||
message="Review",
|
||||
emit=["yes", "no"],
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
def start_and_router(self):
|
||||
return "data"
|
||||
|
||||
structure = flow_structure(AllTypesFlow)
|
||||
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
|
||||
assert method_map["start_only"]["type"] == "start"
|
||||
assert method_map["listen_only"]["type"] == "listen"
|
||||
assert method_map["router_only"]["type"] == "router"
|
||||
assert method_map["after_router"]["type"] == "listen"
|
||||
assert method_map["start_and_router"]["type"] == "start_router"
|
||||
|
||||
|
||||
class TestInputDetection:
|
||||
"""Test flow input detection."""
|
||||
|
||||
def test_inputs_list_exists(self):
|
||||
"""Test that inputs list is always present."""
|
||||
|
||||
class SimpleFlow(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
return "started"
|
||||
|
||||
structure = flow_structure(SimpleFlow)
|
||||
|
||||
assert "inputs" in structure
|
||||
assert isinstance(structure["inputs"], list)
|
||||
|
||||
|
||||
class TestJsonSerializable:
|
||||
"""Test that output is JSON serializable."""
|
||||
|
||||
def test_structure_is_json_serializable(self):
|
||||
"""Test that the entire structure can be JSON serialized."""
|
||||
import json
|
||||
|
||||
class MyState(BaseModel):
|
||||
value: int = 0
|
||||
|
||||
class SerializableFlow(Flow[MyState]):
|
||||
"""Test flow for JSON serialization."""
|
||||
|
||||
initial_state = MyState
|
||||
|
||||
@start()
|
||||
@human_feedback(
|
||||
message="Review",
|
||||
emit=["ok", "not_ok"],
|
||||
llm="gpt-4o-mini",
|
||||
)
|
||||
def begin(self):
|
||||
return "data"
|
||||
|
||||
@listen("ok")
|
||||
def proceed(self):
|
||||
return "done"
|
||||
|
||||
structure = flow_structure(SerializableFlow)
|
||||
|
||||
# Should not raise
|
||||
json_str = json.dumps(structure)
|
||||
assert json_str is not None
|
||||
|
||||
# Should round-trip
|
||||
parsed = json.loads(json_str)
|
||||
assert parsed["name"] == "SerializableFlow"
|
||||
assert len(parsed["methods"]) > 0
|
||||
|
||||
|
||||
class TestFlowInheritance:
|
||||
"""Test flow inheritance scenarios."""
|
||||
|
||||
def test_child_flow_inherits_parent_methods(self):
|
||||
"""Test that FlowB inheriting from FlowA includes methods from both.
|
||||
|
||||
Note: FlowMeta propagates methods but does NOT fully propagate the
|
||||
_listeners registry from parent classes. This means edges defined
|
||||
in the parent class (e.g., parent_start -> parent_process) may not
|
||||
appear in the child's structure. This is a known FlowMeta limitation.
|
||||
"""
|
||||
|
||||
class FlowA(Flow):
|
||||
"""Parent flow with start method."""
|
||||
|
||||
@start()
|
||||
def parent_start(self):
|
||||
return "parent started"
|
||||
|
||||
@listen(parent_start)
|
||||
def parent_process(self):
|
||||
return "parent processed"
|
||||
|
||||
class FlowB(FlowA):
|
||||
"""Child flow with additional methods."""
|
||||
|
||||
@listen(FlowA.parent_process)
|
||||
def child_continue(self):
|
||||
return "child continued"
|
||||
|
||||
@listen(child_continue)
|
||||
def child_finalize(self):
|
||||
return "child finalized"
|
||||
|
||||
structure = flow_structure(FlowB)
|
||||
|
||||
assert structure["name"] == "FlowB"
|
||||
|
||||
# Check all methods are present (from both parent and child)
|
||||
method_names = {m["name"] for m in structure["methods"]}
|
||||
assert "parent_start" in method_names
|
||||
assert "parent_process" in method_names
|
||||
assert "child_continue" in method_names
|
||||
assert "child_finalize" in method_names
|
||||
|
||||
# Check method types
|
||||
method_map = {m["name"]: m for m in structure["methods"]}
|
||||
assert method_map["parent_start"]["type"] == "start"
|
||||
assert method_map["parent_process"]["type"] == "listen"
|
||||
assert method_map["child_continue"]["type"] == "listen"
|
||||
assert method_map["child_finalize"]["type"] == "listen"
|
||||
|
||||
# Check edges defined in child class exist
|
||||
edge_pairs = [(e["from_method"], e["to_method"]) for e in structure["edges"]]
|
||||
assert ("parent_process", "child_continue") in edge_pairs
|
||||
assert ("child_continue", "child_finalize") in edge_pairs
|
||||
|
||||
# KNOWN LIMITATION: Edges defined in parent class (parent_start -> parent_process)
|
||||
# are NOT propagated to child's _listeners registry by FlowMeta.
|
||||
# The edge (parent_start, parent_process) will NOT be in edge_pairs.
|
||||
# This is a FlowMeta limitation, not a serializer bug.
|
||||
|
||||
def test_child_flow_can_override_parent_method(self):
|
||||
"""Test that child can override parent methods."""
|
||||
|
||||
class BaseFlow(Flow):
|
||||
@start()
|
||||
def begin(self):
|
||||
return "base begin"
|
||||
|
||||
@listen(begin)
|
||||
def process(self):
|
||||
return "base process"
|
||||
|
||||
class ExtendedFlow(BaseFlow):
|
||||
@listen(BaseFlow.begin)
|
||||
def process(self):
|
||||
# Override parent's process method
|
||||
return "extended process"
|
||||
|
||||
@listen(process)
|
||||
def finalize(self):
|
||||
return "extended finalize"
|
||||
|
||||
structure = flow_structure(ExtendedFlow)
|
||||
|
||||
method_names = {m["name"] for m in structure["methods"]}
|
||||
assert "begin" in method_names
|
||||
assert "process" in method_names
|
||||
assert "finalize" in method_names
|
||||
|
||||
# Should have 3 methods total (not 4, since process is overridden)
|
||||
assert len(structure["methods"]) == 3
|
||||
Reference in New Issue
Block a user