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Merge pull request baidubce#613 from userpj/master
Python ToolCall新增函数、注解解析
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docs/BasisModule/Platform/Application/appbuilder_client.md
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| # Copyright (c) 2024 Baidu, Inc. All Rights Reserved. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. |
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| # Copyright (c) 2024 Baidu, Inc. All Rights Reserved. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| import inspect | ||
| from typing import Any, Dict, Optional | ||
|
|
||
| from pydantic.v1 import BaseModel as PydanticBaseModel # noqa: F403 # type: ignore | ||
| from pydantic.v1 import create_model | ||
|
|
||
| from appbuilder.core.manifest.manifest_signature import get_signature | ||
| from appbuilder.core.manifest.models import Manifest, PropertyModel, ParametersModel | ||
|
|
||
| def manifest( | ||
| *, | ||
| description: Optional[str] = None, | ||
| name: Optional[str] = None, | ||
| ): | ||
| """ | ||
| Decorator for functions. Use some information to extract meta about function. | ||
| Priority as follows: | ||
| 1. User provided value via arguments | ||
| 2. Function signature + annotations | ||
| Args: | ||
| description (str, optional): The functionality of the function, general user guideline. | ||
| name (str, optional): The name of the function. | ||
| """ | ||
|
|
||
| def decorator(func): | ||
| """Decorator for function.""" | ||
|
|
||
| # Get meta from signature | ||
| sig_params, sig_returns = get_signature(func=func) | ||
|
|
||
| # Get meta from decorator | ||
| dec_params_list = ( | ||
| func.__ab_manifest_parameters__ | ||
| if hasattr(func, "__ab_manifest_parameters__") | ||
| else [] | ||
| ) | ||
| dec_params = {item.name: item for item in dec_params_list} | ||
|
|
||
| properties = {} | ||
| required_fields = [] | ||
| for param in sig_params: | ||
| dec_param = dec_params.get(param["name"]) | ||
| param_type = param.get("type_") or getattr(dec_param, "type", None) | ||
|
|
||
| param_info = { | ||
| "name": param["name"], # 参数名称 | ||
| "type": param_type, | ||
| "description": getattr( | ||
| dec_params.get(param["name"]), "description", None | ||
| ), # 描述 | ||
| "required": param.get( | ||
| "required", getattr(dec_params.get(param["name"]), "required", True) | ||
| ), # 是否必需 | ||
| } | ||
|
|
||
| # 构造 PropertyModel | ||
| properties[param["name"]] = PropertyModel( | ||
| name=param_info["name"], | ||
| type=param_info["type"], | ||
| description=param_info["description"], | ||
| required=param_info["required"], | ||
| ) | ||
|
|
||
| # 记录必需参数 | ||
| if param_info["required"]: | ||
| required_fields.append(param["name"]) | ||
|
|
||
| # 确定函数的最终名称和描述 | ||
| final_name = name or func.__name__ | ||
| final_desc = description or func.__doc__ | ||
|
|
||
| parameters_model = ParametersModel( | ||
| type="object", | ||
| properties={ | ||
| k: v.model_dump(exclude_none=False) for k, v in properties.items() | ||
| }, | ||
| required=required_fields, | ||
| ) | ||
|
|
||
| view = Manifest( | ||
| type="function", | ||
| function={ | ||
| "name": final_name, | ||
| "description": final_desc, | ||
| "parameters": parameters_model.model_dump(), | ||
| }, | ||
| ) | ||
|
|
||
| # Attach view to function. | ||
| func.__ab_manifest__ = view | ||
|
|
||
| # Compatible to semantic kernel 0.9 ~ 1.6 according to this url: https://github.com/microsoft/semantic-kernel/blob/main/python/semantic_kernel/functions/kernel_function_decorator.py | ||
| func.__kernel_function__ = True | ||
| func.__kernel_function_description__ = final_desc | ||
| func.__kernel_function_name__ = final_name | ||
|
|
||
| return func | ||
|
|
||
| return decorator | ||
|
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||
|
|
||
| def manifest_parameter( | ||
| *, | ||
| name: str, | ||
| description: str = None, | ||
| type: str = None, | ||
| required: bool = True, | ||
| ): | ||
| """ | ||
| Decorator for function parameters. | ||
| Args: | ||
| name -- The name of the parameter | ||
| description -- The description of the parameter | ||
| default_value -- The default value of the parameter | ||
| type -- The type of the parameter, used for function calling | ||
| required -- Whether the parameter is required | ||
| example -- The example of the parameter | ||
| """ | ||
|
|
||
| def decorator(func): | ||
| """Decorator for function parameter.""" | ||
|
|
||
| new_view = PropertyModel( | ||
| name=name, | ||
| type=type, | ||
| description=description, | ||
| required=required, | ||
| ) | ||
| # Update parameter view lists for function_parameter decorator. | ||
| # This will be merged into ManifestView if function decorator runs last like: | ||
| # @manifest | ||
| # @manifest_parameter | ||
| # @manifest_parameter | ||
| if hasattr(func, "__ab_manifest_parameters__"): | ||
| current_views = func.__ab_manifest_parameters__ | ||
| else: | ||
| current_views = [] | ||
| current_views.append(new_view) | ||
| func.__ab_manifest_parameters__ = current_views | ||
|
|
||
| if hasattr(func, "__ab_manifest__"): | ||
| # 获取现有的 parameters | ||
| parameters_dict = func.__ab_manifest__.function.get("parameters", {}) | ||
| parameters_model = ParametersModel(**parameters_dict) | ||
|
|
||
| # 更新 properties | ||
| existing_property = parameters_model.properties.get(new_view.name) | ||
| if existing_property: | ||
| merged_property = PropertyModel.merge(existing_property, new_view) | ||
| parameters_model.properties[new_view.name] = merged_property | ||
| else: | ||
| parameters_model.properties[new_view.name] = new_view | ||
|
|
||
| # 更新 required 字段 | ||
| if new_view.required: | ||
| if new_view.name not in parameters_model.required: | ||
| parameters_model.required.append(new_view.name) | ||
| else: | ||
| if new_view.name in parameters_model.required: | ||
| parameters_model.required.remove(new_view.name) | ||
|
|
||
| # 更新 func.__ab_manifest__.function["parameters"] | ||
| func.__ab_manifest__.function["parameters"] = parameters_model.model_dump() | ||
|
|
||
| # Compatible to semantic kernel 0.9 ~ 1.6 according to this url: https://github.com/microsoft/semantic-kernel/blob/main/python/semantic_kernel/functions/kernel_function_decorator.py | ||
| if hasattr(func, "__kernel_function_parameters__"): | ||
| item = { | ||
| "name": name, | ||
| "description": description, | ||
| "type": type, | ||
| "required": required, | ||
| } | ||
|
|
||
| new_list = _update_list( | ||
| item, | ||
| func.__kernel_function_parameters__, | ||
| lambda item, new_item: item["name"] == new_item["name"], | ||
| lambda item, new_item: _merge_dict(item, new_item), | ||
| ) | ||
| func.__kernel_function_parameters__ = new_list | ||
|
|
||
| return func | ||
|
|
||
| return decorator | ||
|
|
||
|
|
||
| def _merge_dict(current_dict, new_dict): | ||
| result = current_dict.copy() | ||
| for k, v in new_dict.items(): | ||
| if v: | ||
| result[k] = v | ||
| return result | ||
|
|
||
|
|
||
| # Replace the parameter with the same name and keep order. | ||
| # Since there are few parameters for each function, keep use list for simplicity | ||
| def _update_list(new_item, list, condition, replacer): | ||
| new_list = [] | ||
| replaced = False | ||
| for item in list: | ||
| if condition(item, new_item): | ||
| replaced = True | ||
| merged_item = replacer(item, new_item) | ||
| new_list.append(merged_item) | ||
| # Missing parameter append to the end. | ||
| if not replaced: | ||
| new_list.append(new_item) | ||
| return new_list |
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