| """Experimental module exposing a function to generate a core schema that validates callable arguments.""" |
|
|
| from __future__ import annotations |
|
|
| from collections.abc import Callable |
| from typing import Any, Literal |
|
|
| from pydantic_core import CoreSchema |
|
|
| from pydantic import ConfigDict |
| from pydantic._internal import _config, _generate_schema, _namespace_utils |
|
|
|
|
| def generate_arguments_schema( |
| func: Callable[..., Any], |
| schema_type: Literal['arguments', 'arguments-v3'] = 'arguments-v3', |
| parameters_callback: Callable[[int, str, Any], Literal['skip'] | None] | None = None, |
| config: ConfigDict | None = None, |
| ) -> CoreSchema: |
| """Generate the schema for the arguments of a function. |
| |
| Args: |
| func: The function to generate the schema for. |
| schema_type: The type of schema to generate. |
| parameters_callback: A callable that will be invoked for each parameter. The callback |
| should take three required arguments: the index, the name and the type annotation |
| (or [`Parameter.empty`][inspect.Parameter.empty] if not annotated) of the parameter. |
| The callback can optionally return `'skip'`, so that the parameter gets excluded |
| from the resulting schema. |
| config: The configuration to use. |
| |
| Returns: |
| The generated schema. |
| """ |
| generate_schema = _generate_schema.GenerateSchema( |
| _config.ConfigWrapper(config), |
| ns_resolver=_namespace_utils.NsResolver(namespaces_tuple=_namespace_utils.ns_for_function(func)), |
| ) |
|
|
| if schema_type == 'arguments': |
| schema = generate_schema._arguments_schema(func, parameters_callback) |
| else: |
| schema = generate_schema._arguments_v3_schema(func, parameters_callback) |
| return generate_schema.clean_schema(schema) |
|
|