Files
crewAI/lib/crewai/src/crewai/flow/visualization/schema.py
Greyson LaLonde e229ef4e19 refactor: improve flow handling, typing, and logging; update UI and tests
fix: refine nested flow conditionals and ensure router methods and routes are fully parsed
fix: improve docstrings, typing, and logging coverage across all events
feat: update flow.plot feature with new UI enhancements
chore: apply Ruff linting, reorganize imports, and remove deprecated utilities/files
chore: split constants and utils, clean JS comments, and add typing for linters
tests: strengthen test coverage for flow execution paths and router logic
2025-10-31 21:15:06 -04:00

105 lines
3.0 KiB
Python

"""OpenAPI schema conversion utilities for Flow methods."""
import inspect
from typing import Any, get_args, get_origin
def type_to_openapi_schema(type_hint: Any) -> dict[str, Any]:
"""Convert Python type hint to OpenAPI schema.
Args:
type_hint: Python type hint to convert.
Returns:
OpenAPI schema dictionary.
"""
if type_hint is inspect.Parameter.empty:
return {}
if type_hint is None or type_hint is type(None):
return {"type": "null"}
if hasattr(type_hint, "__module__") and hasattr(type_hint, "__name__"):
if type_hint.__module__ == "typing" and type_hint.__name__ == "Any":
return {}
type_str = str(type_hint)
if type_str == "typing.Any" or type_str == "<class 'typing.Any'>":
return {}
if isinstance(type_hint, str):
return {"type": type_hint}
origin = get_origin(type_hint)
args = get_args(type_hint)
if type_hint is str:
return {"type": "string"}
if type_hint is int:
return {"type": "integer"}
if type_hint is float:
return {"type": "number"}
if type_hint is bool:
return {"type": "boolean"}
if type_hint is dict or origin is dict:
if args and len(args) > 1:
return {
"type": "object",
"additionalProperties": type_to_openapi_schema(args[1]),
}
return {"type": "object"}
if type_hint is list or origin is list:
if args:
return {"type": "array", "items": type_to_openapi_schema(args[0])}
return {"type": "array"}
if hasattr(type_hint, "__name__"):
return {"type": "object", "className": type_hint.__name__}
return {}
def extract_method_signature(method: Any, method_name: str) -> dict[str, Any]:
"""Extract method signature as OpenAPI schema with documentation.
Args:
method: Method to analyze.
method_name: Method name.
Returns:
Dictionary with operationId, parameters, returns, summary, and description.
"""
try:
sig = inspect.signature(method)
parameters = {}
for param_name, param in sig.parameters.items():
if param_name == "self":
continue
parameters[param_name] = type_to_openapi_schema(param.annotation)
return_type = type_to_openapi_schema(sig.return_annotation)
docstring = inspect.getdoc(method)
result: dict[str, Any] = {
"operationId": method_name,
"parameters": parameters,
"returns": return_type,
}
if docstring:
lines = docstring.strip().split("\n")
summary = lines[0].strip()
if summary:
result["summary"] = summary
if len(lines) > 1:
description = "\n".join(line.strip() for line in lines[1:]).strip()
if description:
result["description"] = description
return result
except Exception:
return {"operationId": method_name, "parameters": {}, "returns": {}}