code gen
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312
openapi_first/codegen_routes.py
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312
openapi_first/codegen_routes.py
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"""
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Route handler code generation from OpenAPI specifications.
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This module generates Python route handler stubs from an OpenAPI 3.x
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specification. Each resource (derived from the first path segment)
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gets its own file under the output directory. Every OpenAPI operation
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must define an ``operationId``, which becomes the handler function name.
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Notes:
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**Design constraints:**
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- ``operationId`` is required on every operation (matching
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``binder.bind_routes``).
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- Handlers are stubs raising ``NotImplementedError``.
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- Sub-resources (e.g. ``/pets/{id}/photo``) are grouped with their
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parent resource (``pets``).
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- Parameter types and defaults are inferred from the spec.
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- ``response: Response`` is injected for non-200 success codes.
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"""
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from pathlib import Path
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from typing import Any
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from .loader import load_openapi
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def generate_routes(
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spec_path: Path,
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output_dir: Path,
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*,
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use_models: bool = False,
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models_module: str = "models",
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) -> list[Path]:
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"""
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Generate route handler stubs from an OpenAPI specification.
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Creates one ``<resource>.py`` file per resource in *output_dir*.
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Resources are derived from the first path segment (e.g. ``/pets``
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and ``/pets/{id}`` both group under ``pets``).
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Args:
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spec_path:
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Path to the OpenAPI specification file (YAML or JSON).
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output_dir:
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Directory where the generated route files are written.
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Created automatically if it does not exist.
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use_models:
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If ``True``, import Pydantic models from *models_module*
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for request-body schemas referenced via ``$ref``.
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models_module:
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Dotted Python module path from which to import models
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(e.g. ``"models"``, ``"app.models"``).
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Returns:
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list[Path]:
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Absolute paths of every generated route file.
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Raises:
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OpenAPISpecLoadError:
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If the spec cannot be loaded or validated.
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ValueError:
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If any operation is missing ``operationId``.
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"""
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spec = load_openapi(spec_path)
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output_dir = Path(output_dir).resolve()
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output_dir.mkdir(parents=True, exist_ok=True)
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# Group paths by resource (first non-param path segment)
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resources: dict[str, list[tuple[str, str, dict]]] = {}
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paths = spec.get("paths", {})
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for path, methods in paths.items():
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segments = [s for s in path.split("/") if s and not s.startswith("{")]
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if not segments:
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continue
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resource = segments[0]
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if resource not in resources:
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resources[resource] = []
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for http_method, operation in methods.items():
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if http_method.startswith("x-"):
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continue
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resources[resource].append((path, http_method, operation))
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generated_files: list[Path] = []
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for resource in sorted(resources):
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operations = resources[resource]
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_validate_operations(resource, operations)
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file_path = output_dir / f"{resource}.py"
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content = _generate_resource_file(
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resource=resource,
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operations=operations,
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spec_path=str(spec_path),
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use_models=use_models,
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models_module=models_module,
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)
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file_path.write_text(content, encoding="utf-8")
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generated_files.append(file_path)
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return generated_files
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# ---------------------------------------------------------------------------
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# Internal helpers
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# ---------------------------------------------------------------------------
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_TYPE_MAP: dict[str, str] = {
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"integer": "int",
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"number": "float",
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"boolean": "bool",
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"string": "str",
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"array": "list",
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"object": "dict",
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}
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def _validate_operations(resource: str, operations: list[tuple[str, str, dict]]) -> None:
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"""Ensure every operation has an operationId."""
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for path, http_method, operation in operations:
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if not operation.get("operationId"):
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raise ValueError(
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f"Missing operationId for {http_method.upper()} {path} "
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f"in resource '{resource}'. "
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"All operations must have an explicit operationId."
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)
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def _resolve_type(schema: dict[str, Any]) -> str:
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"""Map an OpenAPI schema type to a Python type annotation."""
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openapi_type = schema.get("type", "")
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return _TYPE_MAP.get(openapi_type, "str")
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def _get_request_body_schema(operation: dict[str, Any]) -> str | None:
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"""Extract the ``$ref`` schema name from a request body, if any."""
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request_body = operation.get("requestBody")
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if not request_body:
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return None
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content = request_body.get("content", {})
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for media_info in content.values():
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schema = media_info.get("schema", {})
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ref = schema.get("$ref", "")
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if ref:
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return ref.rsplit("/", 1)[-1]
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return None
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def _get_success_status(operation: dict[str, Any]) -> str:
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"""Return the primary success status code (200, 201, 204, or default)."""
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responses = operation.get("responses", {})
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for code in ("201", "200", "204"):
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if code in responses:
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return code
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if "default" in responses:
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return "default"
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return "200"
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def _needs_any(operations: list[tuple[str, str, dict]]) -> bool:
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"""Check if any operation uses a type that requires `from typing import Any`."""
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for _, _, op in operations:
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for param in op.get("parameters", []):
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schema = param.get("schema", {})
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if schema.get("type", "") not in _TYPE_MAP:
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return True
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return False
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# ---------------------------------------------------------------------------
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# File / function generation
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# ---------------------------------------------------------------------------
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def _generate_resource_file(
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resource: str,
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operations: list[tuple[str, str, dict]],
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spec_path: str,
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use_models: bool,
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models_module: str,
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) -> str:
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"""Assemble the full Python source for a single resource file."""
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op_ids = [op.get("operationId", "") for _, _, op in operations]
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lines: list[str] = [
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f'"""Route handlers for the {resource} resource.',
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"",
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f"Generated from OpenAPI spec: {spec_path}",
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f'Bind via operationIds: {", ".join(op_ids)}',
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'"""',
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"",
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"from fastapi import Response, HTTPException",
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]
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# Conditional typing import
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if _needs_any(operations):
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lines.append("from typing import Any")
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# Conditional model imports
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if use_models:
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schemas_needed: set[str] = set()
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for _, _, op in operations:
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schema = _get_request_body_schema(op)
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if schema:
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schemas_needed.add(schema)
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if schemas_needed:
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lines.append(f"from {models_module} import {', '.join(sorted(schemas_needed))}")
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lines.append("")
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for path, http_method, operation in operations:
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lines.append("")
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lines.extend(_generate_handler(path, http_method, operation, use_models))
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lines.append("")
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return "\n".join(lines)
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def _generate_handler(
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path: str,
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http_method: str,
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operation: dict[str, Any],
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use_models: bool,
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) -> list[str]:
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"""Build the source lines for a single handler function."""
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operation_id = operation.get("operationId", "")
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summary = operation.get("summary", f"{http_method.upper()} {path}")
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params: list[str] = []
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path_params: list[str] = []
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query_params: list[str] = []
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for param in operation.get("parameters", []):
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name: str = param.get("name", "")
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param_in: str = param.get("in", "")
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schema: dict[str, Any] = param.get("schema", {})
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param_type: str = _resolve_type(schema)
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required: bool = param.get("required", False)
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description: str = schema.get("description", schema.get("x-description", ""))
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default_raw = schema.get("default")
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if param_in == "path":
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path_params.append(f"{name}: {param_type}")
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elif param_in == "query":
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if default_raw is not None:
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default_repr = repr(default_raw)
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query_params.append(f"{name}: {param_type} = {default_repr}")
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elif required:
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query_params.append(f"{name}: {param_type}")
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else:
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query_params.append(f"{name}: {param_type} = None")
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# header / cookie params could be extended here
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params.extend(path_params)
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params.extend(query_params)
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# Request body
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schema_name = _get_request_body_schema(operation)
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if operation.get("requestBody"):
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if use_models and schema_name:
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params.append(f"payload: {schema_name}")
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else:
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params.append("payload: dict")
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# Inject Response for non-200 success codes
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success_status = _get_success_status(operation)
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if success_status in ("201", "204"):
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params.append("response: Response")
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# Build function body
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lines: list[str] = []
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param_str = ", ".join(params)
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lines.append(f"def {operation_id}({param_str}):")
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lines.append(f' """{summary}')
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# Document parameters
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doc_params: list[tuple[str, str, str]] = []
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for param in operation.get("parameters", []):
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name: str = param.get("name", "")
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param_in: str = param.get("in", "")
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schema: dict[str, Any] = param.get("schema", {})
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param_type: str = _resolve_type(schema)
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description: str = param.get("description", schema.get("x-description", ""))
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if param_in in ("path", "query"):
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doc_params.append((name, param_type, description))
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if doc_params:
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lines.append("")
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lines.append(" Parameters")
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lines.append(" ----------")
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for pname, ptype, desc in doc_params:
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if desc:
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lines.append(f" {pname} : {ptype}")
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lines.append(f" {desc}")
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else:
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lines.append(f" {pname} : {ptype}")
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if operation.get("requestBody"):
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if use_models and schema_name:
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lines.append("")
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lines.append(f" payload : {schema_name}")
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lines.append(" Request body.")
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else:
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lines.append("")
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lines.append(" payload : dict")
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lines.append(" Request body.")
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lines.append(' """')
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lines.append(" raise NotImplementedError")
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return lines
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