From 6ae03985bd59f3759c3d4b8f67c5020d0daa981b Mon Sep 17 00:00:00 2001 From: martsforever Date: Thu, 21 Aug 2025 22:38:41 +0800 Subject: [PATCH] feat: init project --- .editorconfig | 23 + .env.example | 25 + .gitignore | 3 + Dockerfile | 21 + README.md | 79 + app/__init__.py | 0 app/config/ai_configs.py | 64 + app/config/env.py | 41 + app/controller/add_langgraph_approve_route.py | 192 ++ app/controller/add_langgraph_chat_route.py | 156 + app/controller/add_langgraph_route.py | 69 + ...ph_route_backup_test_custom_inject_conn.py | 95 + app/controller/add_lg_approve_route.py | 77 + app/controller/add_sqlmodel_route.py | 52 + app/controller/add_user_route.py | 201 ++ app/controller/custom_chat_playground.py | 41 + app/controller/custom_stream_api.py | 17 + app/controller/test_connection.py | 19 + app/controller/test_sqlmodel.py | 38 + app/controller/test_sync.py | 26 + app/controller/translate_controller.py | 27 + app/create_app.py | 68 + app/middlewares/app_middlewares.py | 69 + app/model/BasicModel.py | 62 + app/model/LgApprove.py | 15 + app/model/LgChat.py | 13 + app/model/LgMessage.py | 16 + app/model/LlmOrder.py | 16 + app/model/LlmProduct.py | 18 + app/model/LlmUser.py | 15 + app/run_uvicorn.py | 44 + app/server.py | 88 + app/utils/CrpyUtils.py | 34 + app/utils/CustomEmbeddings.py | 72 + app/utils/ModelInputSchema.py | 13 + app/utils/PageQueryParams.py | 14 + app/utils/add_async_route.py | 70 + app/utils/create_module_service.py | 458 +++ app/utils/db_utils.py | 62 + app/utils/llm_utils.py | 62 + app/utils/next_id.py | 23 + app/utils/postgres_checkpointer.py | 136 + packages/README.md | 0 poetry.lock | 2688 +++++++++++++++++ pyproject.toml | 46 + static/redoc.standalone.js | 1832 +++++++++++ static/swagger-ui-bundle.min.js | 20 + static/swagger-ui.min.css | 1 + 48 files changed, 7221 insertions(+) create mode 100644 .editorconfig create mode 100644 .env.example create mode 100644 .gitignore create mode 100644 Dockerfile create mode 100644 README.md create mode 100644 app/__init__.py create mode 100644 app/config/ai_configs.py create mode 100644 app/config/env.py create mode 100644 app/controller/add_langgraph_approve_route.py create mode 100644 app/controller/add_langgraph_chat_route.py create mode 100644 app/controller/add_langgraph_route.py create mode 100644 app/controller/add_langgraph_route_backup_test_custom_inject_conn.py create mode 100644 app/controller/add_lg_approve_route.py create mode 100644 app/controller/add_sqlmodel_route.py create mode 100644 app/controller/add_user_route.py create mode 100644 app/controller/custom_chat_playground.py create mode 100644 app/controller/custom_stream_api.py create mode 100644 app/controller/test_connection.py create mode 100644 app/controller/test_sqlmodel.py create mode 100644 app/controller/test_sync.py create mode 100644 app/controller/translate_controller.py create mode 100644 app/create_app.py create mode 100644 app/middlewares/app_middlewares.py create mode 100644 app/model/BasicModel.py create mode 100644 app/model/LgApprove.py create mode 100644 app/model/LgChat.py create mode 100644 app/model/LgMessage.py create mode 100644 app/model/LlmOrder.py create mode 100644 app/model/LlmProduct.py create mode 100644 app/model/LlmUser.py create mode 100644 app/run_uvicorn.py create mode 100644 app/server.py create mode 100644 app/utils/CrpyUtils.py create mode 100644 app/utils/CustomEmbeddings.py create mode 100644 app/utils/ModelInputSchema.py create mode 100644 app/utils/PageQueryParams.py create mode 100644 app/utils/add_async_route.py create mode 100644 app/utils/create_module_service.py create mode 100644 app/utils/db_utils.py create mode 100644 app/utils/llm_utils.py create mode 100644 app/utils/next_id.py create mode 100644 app/utils/postgres_checkpointer.py create mode 100644 packages/README.md create mode 100644 poetry.lock create mode 100644 pyproject.toml create mode 100644 static/redoc.standalone.js create mode 100644 static/swagger-ui-bundle.min.js create mode 100644 static/swagger-ui.min.css diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..f94018a --- /dev/null +++ b/.editorconfig @@ -0,0 +1,23 @@ +# http://editorconfig.org +root = true + +[*] +indent_style = space +indent_size = 2 +charset = utf-8 +trim_trailing_whitespace = true +insert_final_newline = true +max_line_length = off + +ij_javascript_use_double_quotes = true +ij_javascript_force_semicolon_style = true +ij_javascript_spaces_within_object_type_braces = true +ij_javascript_spaces_within_object_literal_braces = true + +ij_typescript_use_double_quotes = true +ij_typescript_force_semicolon_style = true +ij_typescript_spaces_within_object_type_braces = true +ij_typescript_spaces_within_object_literal_braces = true + +[*.md] +trim_trailing_whitespace = false \ No newline at end of file diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..25b4ee0 --- /dev/null +++ b/.env.example @@ -0,0 +1,25 @@ +DB_HOST=xxx.xxx.xxx.xxx # 数据库连接ip地址 +DB_PORT=xxx # 数据库连接端口 +DB_USERNAME=xxx # 数据库连接用户名 +DB_PASSWORD=xxx # 数据库连接密码 +DB_DATABASE=xxx # 数据库连接的数据库名 + +PG_DB_HOST=xxx.xxx.xxx.xxx # postgres数据库连接ip地址 +PG_DB_PORT=xxx # postgres数据库连接端口 +PG_DB_USERNAME=xxx # postgres数据库连接用户名 +PG_DB_PASSWORD=xxx # postgres数据库连接密码 +PG_DB_DATABASE=xxx # postgres数据库连接的数据库名 + +LLM_KEY_LOCAL=123 +LLM_KEY_HUOSHAN=a0311f2a-ba85-4428-b158-xxxxxxxxxxxx # 火山引擎模型服务平台key +LLM_KEY_BAILIAN=sk-51d13ba8ea044d128c66dxxxxxxxxxxxx # 阿里云百炼模型服务平台key +LLM_KEY_DEEPSEEK=sk-a89d0ff9421a43fca5f0xxxxxxxxxxxx # Deepseek模型服务平台key + +SERVER_PORT = 7002 # 服务启动端口 +SERVER_DOMAIN = http://127.0.0.1 # 后端服务部署的域名 + +JWT_SECRET_KEY = a2d41c19c766490a2bea4be9902ea9f60e44ca3d9ef82e8b803f77a4f9deb247 # JWT秘钥 +JWT_ALGORITHM = HS256 # JWT加密算法 +JWT_ACCESS_TOKEN_EXPIRE_MINUTES = 30 # JWT访问令牌默认有效时间（分钟 +JWT_GLOBAL_ENABLE = false # 是否开启全局JWT认证 +JWT_WHITE_LIST = ["/token", "/login", "/registry", "/verify", "/async_delay"] # JWT认证白名单接口，不需要认证的接口 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..33a1b18 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +__pycache__ +.idea +.env diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..bbdeea1 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,21 @@ +FROM python:3.11-slim + +RUN pip install poetry==1.6.1 + +RUN poetry config virtualenvs.create false + +WORKDIR /code + +COPY ./pyproject.toml ./README.md ./poetry.lock* ./ + +COPY ./package[s] ./packages + +RUN poetry install --no-interaction --no-ansi --no-root + +COPY ./app ./app + +RUN poetry install --no-interaction --no-ansi + +EXPOSE 8080 + +CMD exec uvicorn app.server:app --host 0.0.0.0 --port 8080 diff --git a/README.md b/README.md new file mode 100644 index 0000000..fcd5839 --- /dev/null +++ b/README.md @@ -0,0 +1,79 @@ +# ai-langserve + +## Installation + +Install the LangChain CLI if you haven't yet + +```bash +pip install -U langchain-cli +``` + +## Adding packages + +```bash +# adding packages from +# https://github.com/langchain-ai/langchain/tree/master/templates +langchain app add $PROJECT_NAME + +# adding custom GitHub repo packages +langchain app add --repo $OWNER/$REPO +# or with whole git string (supports other git providers): +# langchain app add git+https://github.com/hwchase17/chain-of-verification + +# with a custom api mount point (defaults to `/{package_name}`) +langchain app add $PROJECT_NAME --api_path=/my/custom/path/rag +``` + +Note: you remove packages by their api path + +```bash +langchain app remove my/custom/path/rag +``` + +## Setup LangSmith (Optional) +LangSmith will help us trace, monitor and debug LangChain applications. +You can sign up for LangSmith [here](https://smith.langchain.com/). +If you don't have access, you can skip this section + + +```shell +export LANGSMITH_TRACING=true +export LANGSMITH_API_KEY= +export LANGSMITH_PROJECT= # if not specified, defaults to "default" +``` + +## Launch LangServe + +```bash +langchain serve +``` + +## Running in Docker + +This project folder includes a Dockerfile that allows you to easily build and host your LangServe app. + +### Building the Image + +To build the image, you simply: + +```shell +docker build . -t my-langserve-app +``` + +If you tag your image with something other than `my-langserve-app`, +note it for use in the next step. + +### Running the Image Locally + +To run the image, you'll need to include any environment variables +necessary for your application. + +In the below example, we inject the `OPENAI_API_KEY` environment +variable with the value set in my local environment +(`$OPENAI_API_KEY`) + +We also expose port 8080 with the `-p 8080:8080` option. + +```shell +docker run -e OPENAI_API_KEY=$OPENAI_API_KEY -p 8080:8080 my-langserve-app +``` diff --git a/app/__init__.py b/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/app/config/ai_configs.py b/app/config/ai_configs.py new file mode 100644 index 0000000..d75bc8d --- /dev/null +++ b/app/config/ai_configs.py @@ -0,0 +1,64 @@ +from app.config.env import env + +ai_configs = { + # /*---------------------------------------local-------------------------------------------*/ + "local": { + "model": "deepseek-r1-distill-qwen-7b", + "url": "http://127.0.0.1:1234/v1/chat/completions", + "key": env.llm_key_local + }, + "local_glm": { + "model": "glm-4-9b-0414", + "url": "http://127.0.0.1:1234/v1/chat/completions", + "key": env.llm_key_local + }, + "local_embedding": { + "model": "text-embedding-text2vec-large-chinese", + "url": "http://127.0.0.1:1234/v1/embeddings", + "key": env.llm_key_local + }, + # /*---------------------------------------deepseek-------------------------------------------*/ + 'deepseek-v3': { + 'model': 'deepseek-chat', + 'url': 'https://api.deepseek.com/chat/completions', + 'key': env.llm_key_deepseek, + }, + 'deepseek-r1': { + 'model': 'deepseek-reasoner', + 'url': 'https://api.deepseek.com/chat/completions', + 'key': env.llm_key_deepseek, + }, + # /*---------------------------------------huoshan-------------------------------------------*/ + 'huoshan-deepseek-v3': { + 'model': 'deepseek-v3-250324', + 'url': 'https://ark.cn-beijing.volces.com/api/v3/chat/completions', + 'key': env.llm_key_huoshan, + }, + 'huoshan-deepseek-r1': { + 'model': 'deepseek-r1-distill-qwen-7b-250120', + 'url': 'https://ark.cn-beijing.volces.com/api/v3/chat/completions', + 'key': env.llm_key_huoshan, + }, + 'huoshan-doubao': { + 'model': 'doubao-1-5-lite-32k-250115', + 'url': 'https://ark.cn-beijing.volces.com/api/v3/chat/completions', + 'key': env.llm_key_huoshan, + }, + 'huoshan-doubao-seed': { + 'model': 'doubao-seed-1-6-250615', + 'url': 'https://ark.cn-beijing.volces.com/api/v3/chat/completions', + 'key': env.llm_key_huoshan, + }, + + 'huoshan-embedding-240715': { + "model": 'doubao-embedding-text-240715', + "url": 'https://ark.cn-beijing.volces.com/api/v3/embeddings', + 'key': env.llm_key_huoshan, + }, + # /*---------------------------------------bailian-------------------------------------------*/ + 'bailian-qwen-turbo': { + 'model': 'qwen-turbo', + 'url': 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions', + 'key': env.llm_key_bailian, + }, +} diff --git a/app/config/env.py b/app/config/env.py new file mode 100644 index 0000000..1fd92a2 --- /dev/null +++ b/app/config/env.py @@ -0,0 +1,41 @@ +from typing import List + +from pydantic_settings import BaseSettings +from pydantic import Field +from dotenv import load_dotenv + + +class Settings(BaseSettings): + db_host: str = Field(..., env="DB_HOST") + db_port: str = Field(..., env="DB_PORT") + db_username: str = Field(..., env="DB_USERNAME") + db_password: str = Field(..., env="DB_PASSWORD") + db_database: str = Field(..., env="DB_DATABASE") + + pg_db_host: str = Field(..., env="PG_DB_HOST") + pg_db_port: str = Field(..., env="PG_DB_PORT") + pg_db_username: str = Field(..., env="PG_DB_USERNAME") + pg_db_password: str = Field(..., env="PG_DB_PASSWORD") + pg_db_database: str = Field(..., env="PG_DB_DATABASE") + + llm_key_local: str = Field(..., env="LLM_KEY_LOCAL") + llm_key_huoshan: str = Field(..., env="LLM_KEY_HUOSHAN") + llm_key_bailian: str = Field(..., env="LLM_KEY_BAILIAN") + llm_key_deepseek: str = Field(..., env="LLM_KEY_DEEPSEEK") + + server_port: str = Field(..., env="SERVER_PORT") + server_domain: str = Field(..., env="SERVER_DOMAIN") + + jwt_secret_key: str = Field(..., env="JWT_SECRET_KEY") + jwt_algorithm: str = Field(..., env="JWT_ALGORITHM") + jwt_access_token_expire_minutes: int = Field(..., env="JWT_ACCESS_TOKEN_EXPIRE_MINUTES") + jwt_global_enable: bool = Field(..., env="JWT_GLOBAL_ENABLE") + jwt_white_list: List[str] = Field(..., env="JWT_WHITE_LIST") + + class Config: + env_file = ".env" + env_file_encoding = "utf-8" + + +load_dotenv(".env") # 先加载 .env 文件 +env = Settings() diff --git a/app/controller/add_langgraph_approve_route.py b/app/controller/add_langgraph_approve_route.py new file mode 100644 index 0000000..0668e0c --- /dev/null +++ b/app/controller/add_langgraph_approve_route.py @@ -0,0 +1,192 @@ +import json +from operator import add +from typing import TypedDict, Annotated, List, Literal + +from fastapi import FastAPI +from langchain_core.runnables import RunnableConfig +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from langgraph.constants import START, END +from langgraph.graph import StateGraph +from langgraph.graph.state import CompiledStateGraph +from langgraph.types import interrupt, Command +from sqlalchemy.orm.sync import update + +from app.model.LgApprove import LgApprove, LgApproveService +from app.model.LgMessage import LgMessageService +from app.utils.db_utils import AsyncSessionDep +from app.utils.next_id import next_id +from app.utils.postgres_checkpointer import AsyncPostgresSaverDep + + +def add_langgraph_approve_route(app: FastAPI): + # 提交审批单/创建报销单 + @app.post("/lg_approve/submit") + async def lg_approve_submit( + row_dict: dict, + checkpointer: AsyncPostgresSaverDep, + session: AsyncSessionDep, + ): + thread_id = await next_id() + graph = create_graph(checkpointer=checkpointer, session=session) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.ainvoke({"input_remarks": row_dict.get('remarks')}, config=config) + print(graph_state) + return graph_state + + @app.get("/lg_message/feedback/{thread_id}/{approve_flag}") + async def lg_message_feedback( + thread_id: str, + approve_flag: str, + checkpointer: AsyncPostgresSaverDep, + session: AsyncSessionDep, + ): + graph = create_graph(checkpointer=checkpointer, session=session) + config = {"configurable": {"thread_id": thread_id}} + return await graph.ainvoke(Command(resume=approve_flag), config=config) + + +def create_graph( + checkpointer: AsyncPostgresSaver, + session: AsyncSessionDep, +) -> CompiledStateGraph: + class ApproveSchema(TypedDict): + id: str + remarks: str + status: str + result_content: str + + class StateSchema(TypedDict): + # 图的入参，需要一个报销单的备注信息，实际业务场景中，入参起码还需要有报销单申请人的id，报销类型，报销金额，发票信息等等； + input_remarks: str + # 报销单由图中的节点来创建，插入到数据库 + approve: ApproveSchema + # 图执行的结果标识，成功还是失败 + approve_flag: bool + # 每个节点执行的日志信息可以塞到这个字符串数组中 + log_list: Annotated[List[str], add] + # 执行图的时候，如果往消息表中插入了消息数据，也把这个插入的消息记录到状态中 + lg_message_list: Annotated[List[dict], add] + + builder = StateGraph(StateSchema) + + # 创建报销单（审批单） + async def node_create_approve(state: StateSchema): + insert_approve_dict = { + "status": "pending_approval", + "result_content": '待审批......', + "remarks": state.get('input_remarks'), + } + insert_approve_cls = await LgApproveService.item_insert(session=session, row_dict=insert_approve_dict) + return { + "approve": insert_approve_cls.model_dump(), + "log_list": [f"node_create_approve：创建报销单[{insert_approve_cls.id}]"] + } + + # 创建消息（提示用户审批） + async def node_create_message(state: StateSchema, config: RunnableConfig): + thread_id = config.get('configurable').get('thread_id') + + insert_message_dict = { + "title": "您有一条报销单待审批。", + "content": f"您的下属员工「XXX」提交了一份报销单，报销内容为：{state.get('approve').get('remarks')}", + "status": "pending", + "render_configs": json.dumps([ + { + "type": "button", + "data": { + "label": "审批通过", + "type": "primary", + "submit_url": f"/lg_message/feedback/{thread_id}/Y", + } + }, + { + "type": "button", + "data": { + "label": "审批拒绝", + "submit_url": f"/lg_message/feedback/{thread_id}/N", + } + }, + ], ensure_ascii=False), + } + + insert_message_cls = await LgMessageService.item_insert(session=session, row_dict=insert_message_dict) + + return { + "log_list": [f"node_create_message：创建审批消息，待商机主管「XXX」审批"], + "lg_message_list": [insert_message_cls.model_dump()], + } + + # 触发中断（等待审批恢复重新执行这个节点） + async def node_wait_for_approve(state: StateSchema) -> Command[Literal["node_approve_accept", "node_approve_reject"]]: + + approve_flag = interrupt({}) + + # 下面是中断恢复的代码 + + state_message_dict = state.get('lg_message_list')[-1] + update_message_dict = { + "id": state_message_dict.get('id'), + "status": "proceeded" + } + update_message_cls = await LgMessageService.item_update(session=session, row_dict=update_message_dict) + update_message_dict = update_message_cls.model_dump() + + if approve_flag == 'Y': + return Command( + goto="node_approve_accept", + update={ + "log_list": [f"node_wait_for_approve：主管审批通过"], + "lg_message_list": [update_message_dict], + } + ) + else: + return Command( + goto="node_approve_reject", + update={ + "log_list": [f"node_wait_for_approve：主管审批拒绝"], + "lg_message_list": [update_message_dict], + } + ) + + # 审批通过处理节点 + async def node_approve_accept(state: StateSchema): + update_approve_dict = { + "id": state.get('approve').get('id'), + "status": "accept_approval", + "result_content": '审批通过......', + } + update_approve_cls = await LgApproveService.item_update(session=session, row_dict=update_approve_dict) + return { + "approve": update_approve_cls.model_dump(), + "log_list": [f"node_approve_accept：审批通过，等待财务打款"], + } + + # 审批拒绝处理节点 + async def node_approve_reject(state: StateSchema): + update_approve_dict = { + "id": state.get('approve').get('id'), + "status": "reject_approval", + "result_content": '审批拒绝......', + } + update_approve_cls = await LgApproveService.item_update(session=session, row_dict=update_approve_dict) + return { + "approve": update_approve_cls.model_dump(), + "log_list": [f"node_approve_accept：审批已经被拒绝"], + } + + builder.add_node(node_create_approve) + builder.add_node(node_create_message) + builder.add_node(node_wait_for_approve) + builder.add_node(node_approve_accept) + builder.add_node(node_approve_reject) + + builder.add_edge(START, 'node_create_approve') + builder.add_edge("node_create_approve", 'node_create_message') + builder.add_edge("node_create_message", 'node_wait_for_approve') + + builder.add_edge('node_approve_accept', END) + builder.add_edge('node_approve_reject', END) + + graph = builder.compile(checkpointer=checkpointer) + + return graph diff --git a/app/controller/add_langgraph_chat_route.py b/app/controller/add_langgraph_chat_route.py new file mode 100644 index 0000000..b357c73 --- /dev/null +++ b/app/controller/add_langgraph_chat_route.py @@ -0,0 +1,156 @@ +import datetime +import json +from typing import Union, Annotated + +from fastapi import FastAPI +from langchain_core.messages import HumanMessage +from langchain_core.tools import tool +from langgraph.graph.state import CompiledStateGraph +from langgraph.prebuilt import create_react_agent +from langgraph.types import interrupt, Command +from pydantic import BaseModel, Field + +from app.utils.llm_utils import create_llm +from app.utils.postgres_checkpointer import PostgresCheckpointerManager + + +@tool(name_or_callable="tool_get_datetime", description="一个用于获取当前时间的工具，没有参数") +def tool_get_datetime(): + return datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") + + +@tool(name_or_callable="tool_book_hotel", description="一个用于预定酒店的工具") +def tool_book_hotel( + hotel_name: Annotated[str, '酒店名称'], + room_type: Annotated[str, '房间类型'], + check_in_date: Annotated[str, '入住时间'], +) -> str: + resume_data = interrupt({ + "title": "请确认酒店预定信息", + "form": [ + { + "field": "hotel_name", + "type": "input", + "label": "酒店名称", + "required": True, + }, + { + "field": "room_type", + "type": "select", + "label": "客房类型", + "options": [ + {"label": "标间", "value": "标间"}, + {"label": "单间", "value": "单间"}, + {"label": "双人间", "value": "双人间"}, + ], + "required": True, + }, + { + "field": "check_in_date", + "type": "date", + "label": "入住时间", + } + ], + "formData": { + "hotel_name": hotel_name, + "room_type": room_type, + "check_in_date": check_in_date, + } + }) + if resume_data == "N": + return f"用户选择取消预定酒店" + + old_book_data = { + "hotel_name": hotel_name, + "room_type": room_type, + "check_in_date": check_in_date, + } + new_book_data: dict = resume_data + + change_field_list = [(k, v) for k, v in old_book_data.items() if old_book_data.get(k) != new_book_data.get(k)] + + return (f"用户已经更改参数，最新的为{json.dumps(new_book_data, ensure_ascii=False)}" if change_field_list else "") + "，结果为预定成功" + + +class ChatMessage(BaseModel): + id: str = Field(..., description="消息id") + type: str = Field(..., description="消息类型") + content: str = Field(..., description="消息内容") + + +# 对话接口参数类型 +class ChatParam(BaseModel): + thread_id: str = Field(..., description="线程id") + human_message: ChatMessage = Field(..., description="用户消息") + + +class ChatAgent: + agent: Union[CompiledStateGraph, None] = None + + @staticmethod + async def get_agent() -> CompiledStateGraph: + if not ChatAgent.agent: + ChatAgent.agent = create_react_agent( + model=create_llm(), + tools=[tool_book_hotel, tool_get_datetime], + checkpointer=await PostgresCheckpointerManager.get_instance(), + prompt=""" + 你是一名擅长使用工具的智能助手，你需要根据用户问题来进行回答，请使用中文进行回答。 + 当用户问题需要调用工具时再调用工具，否则按照你的知识来回答问题。 + 某些工具会触发中断让用户来编辑工具执行参数，这些工具会将新的执行参数作为信息返回，你需要回复用户最新的信息 + """ + ) + return ChatAgent.agent + + @staticmethod + async def chat(human_message: ChatMessage, thread_id: str): + graph = await ChatAgent.get_agent() + chat_state = await ChatAgent.get_chat_state(thread_id) + chat_history_list = chat_state.get('messages') + graph_state = await graph.ainvoke( + {"messages": [HumanMessage(content=human_message.content, id=human_message.id)]}, + config={"configurable": {"thread_id": thread_id}} + ) + return { + **graph_state, + # 这里之所以要+1，是因为我们认为这次的HumanMessage已经在chat_history_list中了，但是实际上并没有，所以这里要+1 + "messages": graph_state.get('messages')[len(chat_history_list) + 1:], + } + + @staticmethod + async def get_chat_state(thread_id: str): + graph = await ChatAgent.get_agent() + graph_state = await graph.aget_state(config={"configurable": {"thread_id": thread_id}}) + if graph_state.values.get('messages', None) is None: + graph_state.values['messages'] = [] + return { + **graph_state.values, + "__interrupt__": graph_state.interrupts, + } + + +def add_langgraph_chat_route(app: FastAPI): + # 聊天接口 + @app.post("/langgraph/chat") + async def langgraph_chat(chat_param: ChatParam): + return await ChatAgent.chat(chat_param.human_message, chat_param.thread_id) + + @app.post("/langgraph/chat_resume/{thread_id}") + async def langgraph_chat(body: dict, thread_id: str): + graph = await ChatAgent.get_agent() + chat_state = await ChatAgent.get_chat_state(thread_id) + chat_history_list = chat_state.get('messages') + graph_state = await graph.ainvoke( + Command(resume=body.get('resume_data')), + config={"configurable": {"thread_id": thread_id}} + ) + return { + **graph_state, + # 这里不需要加1，因为我们并没有往messages中增加消息 + "messages": graph_state.get('messages')[len(chat_history_list):], + } + + # 查询聊天记录 + @app.get("/langgraph/chat_state/{thread_id}") + async def langgraph_chat(thread_id: str): + return await ChatAgent.get_chat_state(thread_id) diff --git a/app/controller/add_langgraph_route.py b/app/controller/add_langgraph_route.py new file mode 100644 index 0000000..ab47495 --- /dev/null +++ b/app/controller/add_langgraph_route.py @@ -0,0 +1,69 @@ +import random +from operator import add +from typing import TypedDict, Annotated, List + +from fastapi import FastAPI +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from langgraph.constants import START, END +from langgraph.graph import StateGraph + +from app.utils.postgres_checkpointer import AsyncPostgresSaverDep + + +def add_langgraph_route(app: FastAPI): + @app.get("/langgraph/invoke") + async def langgraph_invoke(thread_id: str, checkpointer: AsyncPostgresSaverDep): + print("checkpointer", checkpointer) + graph = create_graph(checkpointer) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.ainvoke({"name_list": [f"initial:{thread_id}"]}, config=config) + return graph_state + + @app.get("/langgraph/get_state") + async def langgraph_get_state(thread_id: str, checkpointer: AsyncPostgresSaverDep): + graph = create_graph(checkpointer) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.aget_state(config) + return graph_state.values + + @app.get("/langgraph/get_state_snapshot") + async def langgraph_get_state_snapshot(thread_id: str, checkpointer: AsyncPostgresSaverDep): + graph = create_graph(checkpointer) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.aget_state(config) + return graph_state + + +def create_graph(checkpointer: AsyncPostgresSaver): + class StateSchema(TypedDict): + name_list: Annotated[List[str], add] + + builder = StateGraph(StateSchema) + + def node_1(state): + random_int = random.randint(0, 100) + print(["🧠节点执行", "node_1", random_int]) + return {"name_list": [f"node_1:{random_int}"]} + + def node_2(state): + random_int = random.randint(100, 200) + print(["🧠节点执行", "node_2", random_int]) + return {"name_list": [f"node_2:{random_int}"]} + + def node_3(state): + random_int = random.randint(300, 400) + print(["🧠节点执行", "node_3", random_int]) + return {"name_list": [f"node_3:{random_int}"]} + + builder.add_node(node_1) + builder.add_node(node_2) + builder.add_node(node_3) + + builder.add_edge(START, 'node_1') + builder.add_edge('node_1', 'node_2') + builder.add_edge('node_2', 'node_3') + builder.add_edge('node_3', END) + + graph = builder.compile(checkpointer=checkpointer) + + return graph diff --git a/app/controller/add_langgraph_route_backup_test_custom_inject_conn.py b/app/controller/add_langgraph_route_backup_test_custom_inject_conn.py new file mode 100644 index 0000000..5261aea --- /dev/null +++ b/app/controller/add_langgraph_route_backup_test_custom_inject_conn.py @@ -0,0 +1,95 @@ +import random +from contextlib import asynccontextmanager +from operator import add +from typing import TypedDict, Annotated, List + +from fastapi import FastAPI, Depends +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from langgraph.constants import START, END +from langgraph.graph import StateGraph + +from app.utils.postgres_checkpointer import AsyncPostgresSaverDep + + +class CustomConnection: + def __init__(self): + print("开始自定义连接") + + def close(self): + print("关闭自定义连接") + + +@asynccontextmanager +async def open_custom_connection(): + ctx_connection = CustomConnection() + yield ctx_connection + ctx_connection.close() + + +async def get_async_ctx_conn(): + async with open_custom_connection() as conn: + yield conn + + +CustomConnDep = Annotated[CustomConnection, Depends(get_async_ctx_conn)] + + +def add_langgraph_route(app: FastAPI): + @app.get("/langgraph/invoke") + async def langgraph_invoke(thread_id: str, checkpointer: AsyncPostgresSaverDep, cst_conn: CustomConnDep): + print("start", cst_conn) + print("checkpointer", checkpointer) + graph = create_graph(checkpointer) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.ainvoke({"name_list": [f"initial:{thread_id}"]}, config=config) + print("end") + return graph_state + + @app.get("/langgraph/get_state") + async def langgraph_get_state(thread_id: str, checkpointer: AsyncPostgresSaverDep): + graph = create_graph(checkpointer) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.aget_state(config) + return graph_state.values + + @app.get("/langgraph/get_state_snapshot") + async def langgraph_get_state_snapshot(thread_id: str, checkpointer: AsyncPostgresSaverDep): + graph = create_graph(checkpointer) + config = {"configurable": {"thread_id": thread_id}} + graph_state = await graph.aget_state(config) + return graph_state + + +def create_graph(checkpointer: AsyncPostgresSaver): + class StateSchema(TypedDict): + name_list: Annotated[List[str], add] + + builder = StateGraph(StateSchema) + + def node_1(state): + random_int = random.randint(0, 100) + print(["🧠节点执行", "node_1", random_int]) + return {"name_list": [f"node_1:{random_int}"]} + + def node_2(state): + random_int = random.randint(100, 200) + print(["🧠节点执行", "node_2", random_int]) + return {"name_list": [f"node_2:{random_int}"]} + + def node_3(state): + random_int = random.randint(300, 400) + print(["🧠节点执行", "node_3", random_int]) + return {"name_list": [f"node_3:{random_int}"]} + + builder.add_node(node_1) + builder.add_node(node_2) + builder.add_node(node_3) + + builder.add_edge(START, 'node_1') + builder.add_edge('node_1', 'node_2') + builder.add_edge('node_2', 'node_3') + builder.add_edge('node_3', END) + + graph = builder.compile(checkpointer=checkpointer) + + return graph diff --git a/app/controller/add_lg_approve_route.py b/app/controller/add_lg_approve_route.py new file mode 100644 index 0000000..a1334eb --- /dev/null +++ b/app/controller/add_lg_approve_route.py @@ -0,0 +1,77 @@ +import random +from operator import add +from typing import Annotated, List, TypedDict + +from fastapi import FastAPI +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from langgraph.constants import START, END +from langgraph.graph import StateGraph +from langgraph.types import interrupt, Command + +from app.utils.postgres_checkpointer import AsyncPostgresSaverDep + + +def add_lg_approve_route(app: FastAPI): + @app.get("/lg/approve/submit") + async def lg_approve_submit(thread_id: str, checkpointer: AsyncPostgresSaverDep): + graph = create_graph(checkpointer=checkpointer) + config = {"configurable": {"thread_id": thread_id}} + return await graph.ainvoke({"name_list": [f"initial:{thread_id}"]}, config=config) + + @app.get("/lg/approve/state") + async def lg_approve_get_state(thread_id: str, checkpointer: AsyncPostgresSaverDep): + graph = create_graph(checkpointer=checkpointer) + config = {"configurable": {"thread_id": thread_id}} + state_snapshot = await graph.aget_state(config) + graph_state = state_snapshot.values + return { + **graph_state, + "__interrupt__": state_snapshot.interrupts, + } + + @app.get("/lg/approve/resume") + async def lg_approve_resume( + thread_id: str, + is_approve: str, + checkpointer: AsyncPostgresSaverDep + ): + graph = create_graph(checkpointer=checkpointer) + config = {"configurable": {"thread_id": thread_id}} + return await graph.ainvoke(Command(resume=is_approve), config=config) + + +def create_graph(checkpointer: AsyncPostgresSaver): + class StateSchema(TypedDict): + name_list: Annotated[List[str], add] + + builder = StateGraph(StateSchema) + + def node_1(state: StateSchema): + random_int = random.randint(0, 100) + print(["🧠节点执行", "node_1", random_int]) + return {"name_list": [f"node_1:{random_int}"]} + + def node_2(state: StateSchema): + random_int = random.randint(100, 200) + print(["🧠节点执行", "node_2", random_int]) + is_approved = interrupt({ + "message": "需要主管审批" + }) + result = "✅通过" if is_approved == 'Y' else "❌拒绝" + return {"name_list": [f"node_2:{random_int}，" + result]} + + def node_3(state: StateSchema): + random_int = random.randint(200, 300) + print(["🧠节点执行", "node_3", random_int]) + return {"name_list": [f"node_3:{random_int}"]} + + builder.add_node(node_1) + builder.add_node(node_2) + builder.add_node(node_3) + + builder.add_edge(START, 'node_1') + builder.add_edge("node_1", 'node_2') + builder.add_edge("node_2", 'node_3') + builder.add_edge("node_3", END) + + return builder.compile(checkpointer=checkpointer) diff --git a/app/controller/add_sqlmodel_route.py b/app/controller/add_sqlmodel_route.py new file mode 100644 index 0000000..5bbe556 --- /dev/null +++ b/app/controller/add_sqlmodel_route.py @@ -0,0 +1,52 @@ +from fastapi import FastAPI, HTTPException +from sqlmodel import select + +from app.model.LlmUser import LlmUser +from app.utils.db_utils import AsyncSessionDep +from app.utils.next_id import next_id + + +def add_sqlmodel_route(app: FastAPI): + @app.post("/llm_user/insert") + async def llm_user_insert(user: LlmUser, session: AsyncSessionDep): + if user.id is None: + user.id = await next_id() + + session.add(user) + await session.commit() + await session.refresh(user) + return {"result": user} + + @app.post("/llm_user/update") + async def llm_user_insert(user_dict: dict, session: AsyncSessionDep): + + if user_dict.get("id") is None: + raise HTTPException(status_code=500, detail="Update row missing id") + + update_user = (await session.exec(select(LlmUser).where(LlmUser.id == user_dict["id"]))).first() + if update_user is None: + raise HTTPException(status_code=500, detail="Update row not found") + + for key, value in user_dict.items(): + setattr(update_user, key, value) + + session.add(update_user) + await session.commit() + await session.refresh(update_user) + return {"result": update_user} + + @app.post("/llm_user/delete") + async def llm_user_delete(user_dict: dict, session: AsyncSessionDep): + + if user_dict.get("id") is None: + raise HTTPException(status_code=500, detail="Update row missing id") + + delete_user: LlmUser = (await session.exec(select(LlmUser).where(LlmUser.id == user_dict["id"]))).first() + + if delete_user is None: + raise HTTPException(status_code=500, detail="Delete row not found") + + await session.delete(delete_user) + await session.commit() + + return {"result": True} diff --git a/app/controller/add_user_route.py b/app/controller/add_user_route.py new file mode 100644 index 0000000..7e63868 --- /dev/null +++ b/app/controller/add_user_route.py @@ -0,0 +1,201 @@ +from datetime import timedelta +from enum import Enum + +from fastapi import FastAPI, Depends, HTTPException +from fastapi.security import OAuth2PasswordRequestForm, OAuth2PasswordBearer +from jwt import InvalidTokenError +from pydantic import BaseModel +from sqlmodel import select, Field +from starlette import status + +from app.config.env import env +from app.model.BasicModel import BasicModel +from app.utils.CrpyUtils import CryptUtils +from app.utils.db_utils import AsyncSessionDep +from app.utils.next_id import next_id + + +class UserValidate(str, Enum): + Y = 'Y' + N = 'N' + + +# 公共的，也是最后返回给前端的一个用户信息数据类型 +class PublicUser(BasicModel): + username: str = Field(..., description="用户名") + email: str = Field(..., description="邮箱") + full_name: str = Field(..., description="用户全名") + valid: UserValidate = Field(default=UserValidate.N, description="用户账号是否已经激活") + + +# 注册的时候，客户端传入的用户信息，需要包含这个明文密码字段 +class RegistryUser(PublicUser): + password: str + + +# 对pl_user表进行增删改查时的这个model类 +class UserModel(PublicUser, table=True): + __tablename__ = "pl_user" + hash_password: str + + +class Token(BaseModel): + token: str + token_type: str + + +def add_user_route(app: FastAPI): + @app.post("/registry") + async def _registry(registry_user: RegistryUser, session: AsyncSessionDep): + + # /*---------------------------------------检查用户名是否已经注册-------------------------------------------*/ + query = select(UserModel).where(UserModel.username == registry_user.username) + result = await session.execute(query) + item_cls = result.scalars().first() + + if item_cls: + return {"result": None, "error": f"用户名：{registry_user.username} 已经存在"} + + # /*---------------------------------------检查邮箱是否已经注册-------------------------------------------*/ + + query = select(UserModel).where(UserModel.email == registry_user.email) + result = await session.execute(query) + item_cls = result.scalars().first() + + if item_cls: + return {"result": None, "error": f"邮箱：{registry_user.email} 已经注册"} + + # /*---------------------------------------开始注册流程-------------------------------------------*/ + + hash_password = CryptUtils.get_password_hash(registry_user.password) + user = UserModel( + username=registry_user.username, + email=registry_user.email, + full_name=registry_user.full_name, + hash_password=hash_password, + valid=UserValidate.N, + ) + user.id = await next_id() + session.add(user) + await session.commit() + await session.refresh(user) + + public_user = PublicUser(**user.model_dump()) + + active_user_token = CryptUtils.create_access_token(public_user.username, expires_delta=timedelta(days=365 * 3)) + active_url = f"{env.server_domain}:{env.server_port}/verify?token={active_user_token}" + + return { + "result": public_user, + "active_url": active_url + } + + @app.get("/verify") + async def _verify(token: str, session: AsyncSessionDep): + username = CryptUtils.get_username_from_token(token) + + if not username: + return {"result": None, "error": "token无效或者已经过期"} + + query = select(UserModel).where(UserModel.username == username) + result = await session.execute(query) + item_cls: UserModel | None = result.scalars().first() + + if not item_cls: + return {"result": None, "error": f"用户 {username} 不存在"} + + item_cls.valid = UserValidate.Y + session.add(item_cls) + await session.commit() + await session.refresh(item_cls) + + public_user = PublicUser(**item_cls.model_dump()) + + return { + "result": public_user, + "message": f"用户 {username} 激活成功" + } + + @app.post("/login") + @app.post("/token") + async def _token(session: AsyncSessionDep, form_data: OAuth2PasswordRequestForm = Depends()): + print("login", form_data) + user = await authenticate_user(session, form_data.username, form_data.password) + + if not user: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="用户名或者密码不正确", + headers={"WWW-Authenticate": "Bearer"}, + ) + + token = Token( + token=CryptUtils.create_access_token(user.username), + token_type="Bearer", + ) + + return { + "result": user, + "token": token, + } + + @app.get("/users/me") + async def _me(current_user: PublicUser = Depends(get_current_user)): + return current_user + + @app.post("/order") + async def _query_order(product_name: str, current_user: PublicUser = Depends(get_current_user)): + return [product_name] + + +async def authenticate_user(session: AsyncSessionDep, username: str, password: str): + query = select(UserModel).where(UserModel.username == username) + result = await session.execute(query) + item_cls: UserModel | None = result.scalars().first() + if not item_cls: + return None + + if item_cls.valid != UserValidate.Y: + return None + + if not CryptUtils.verify_password(password, item_cls.hash_password): + return None + + public_user = PublicUser(**item_cls.model_dump()) + + return public_user + + +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") + +unauthorized_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="The token is invalid or had expired", + headers={"WWW-Authenticate": "Bearer"}, +) + + +async def get_current_user(session: AsyncSessionDep, token: str = Depends(oauth2_scheme)): + try: + username = CryptUtils.get_username_from_token(token) + if not username: + raise unauthorized_exception + except InvalidTokenError: + raise unauthorized_exception + + user_model = await get_user_by_username(username, session) + if not user_model: + raise unauthorized_exception + + return PublicUser(**user_model.model_dump()) + + +async def get_user_by_username(username: str, session: AsyncSessionDep): + query = ( + select(UserModel) + .where(UserModel.username == username) + .where(UserModel.valid == UserValidate.Y) + ) + result = await session.execute(query) + item_cls: UserModel | None = result.scalars().first() + return item_cls diff --git a/app/controller/custom_chat_playground.py b/app/controller/custom_chat_playground.py new file mode 100644 index 0000000..9ab7a0c --- /dev/null +++ b/app/controller/custom_chat_playground.py @@ -0,0 +1,41 @@ +from fastapi import FastAPI +from langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder +from langserve import add_routes +from pydantic import Field + +from app.utils.ModelInputSchema import ModelInputSchema +from app.utils.llm_utils import create_llm + + +class ModelInputSchema2(ModelInputSchema): + language: str = Field(..., description="要求模型回答使用的语言") + + +_doubao_chain2 = ( + ChatPromptTemplate.from_messages([ + ('system', "你需要使用语言“{language}”来回答用户的问题, 不论如何，你必须使用“{language}”来回答用户"), + MessagesPlaceholder(variable_name="messages") + ]) | + create_llm() | + StrOutputParser() +) + + +def add_custom_chat_playground_route(app: FastAPI): + add_routes( + app=app, + runnable=_doubao_chain2, + input_type=ModelInputSchema2, + path="/doubao2" + ) + + add_routes( + app=app, + runnable={ + "messages": lambda x: x['messages'], + "language": lambda x: "英语" + } | _doubao_chain2, + input_type=ModelInputSchema, + path="/doubao2_playgroud", + ) diff --git a/app/controller/custom_stream_api.py b/app/controller/custom_stream_api.py new file mode 100644 index 0000000..a25a68e --- /dev/null +++ b/app/controller/custom_stream_api.py @@ -0,0 +1,17 @@ +import asyncio +import json + +from starlette.responses import StreamingResponse + + +def add_custom_stream_api_route(app): + @app.get("/my_stream") + async def custom_stream(start: int, end: int): + async def generate_numbers(): + current = start + while current <= end: + yield json.dumps({"number": current}) + "\n" + await asyncio.sleep(0.2) + current += 1 + + return StreamingResponse(generate_numbers(), media_type="application/x-ndjson") diff --git a/app/controller/test_connection.py b/app/controller/test_connection.py new file mode 100644 index 0000000..09a36c9 --- /dev/null +++ b/app/controller/test_connection.py @@ -0,0 +1,19 @@ +from fastapi import FastAPI +from sqlalchemy.sql.expression import text + +from app.utils.db_utils import AsyncSessionDep + + +def add_test_connection_route(app: FastAPI): + @app.get("/query_llm_user_list") + async def query_llm_user_list(session: AsyncSessionDep): + result = await session.execute(text("select * from llm_user")) + return [dict(row._mapping) for row in result] + + @app.get("/query_llm_user") + async def query_llm_user(username: str, session: AsyncSessionDep): + result = await session.execute(text("select * from llm_user where username = :username"), {"username": username}) + list = [dict(row._mapping) for row in result] + return { + "result": list[0] if list else None + } diff --git a/app/controller/test_sqlmodel.py b/app/controller/test_sqlmodel.py new file mode 100644 index 0000000..b40d55e --- /dev/null +++ b/app/controller/test_sqlmodel.py @@ -0,0 +1,38 @@ +from datetime import datetime + +from fastapi import FastAPI +from sqlmodel import select, or_, and_ + +from app.model.LlmProduct import LlmProduct +from app.model.LlmUser import LlmUser +from app.utils.db_utils import AsyncSessionDep + + +def add_test_sqlmodel_route(app: FastAPI): + @app.get("/llm_user_list") + async def llm_user_list(session: AsyncSessionDep): + query = select(LlmProduct) + query = query.where( + or_( + and_( + LlmProduct.name.not_in(['手机', '电脑', '相机']), + LlmProduct.price > 1000, + ), + LlmProduct.price == 300, + ) + ) + result = await session.execute(query) + + print(type(result), result) + return { + # "first": result.scalars().first(), + "all": result.scalars().all(), + } + + @app.post("/llm_user") + async def llm_user(product_dict: dict, session: AsyncSessionDep): + _product_cls = LlmProduct.model_validate(product_dict) + return { + "product": product_dict, + "_product": _product_cls, + } diff --git a/app/controller/test_sync.py b/app/controller/test_sync.py new file mode 100644 index 0000000..fc27779 --- /dev/null +++ b/app/controller/test_sync.py @@ -0,0 +1,26 @@ +import asyncio +import os +import time + +from fastapi import FastAPI + + +def add_test_sync_route(app: FastAPI): + @app.get("/test") + async def test(): + print(f"Process {os.getpid()} handling /test") + return {"message": "Hello World"} + + @app.get("/sync_delay") + async def sync_delay(delay: int = 1): + """同步延迟delay秒""" + print(f"Process {os.getpid()} handling /sync_delay") + time.sleep(delay) + return {"hello": "world"} + + @app.get("/async_delay") + async def async_delay(delay: int = 1): + """异步延迟delay秒""" + print(f"Process {os.getpid()} handling /async_delay") + await asyncio.sleep(delay) + return {"hello": "world"} diff --git a/app/controller/translate_controller.py b/app/controller/translate_controller.py new file mode 100644 index 0000000..350dfb9 --- /dev/null +++ b/app/controller/translate_controller.py @@ -0,0 +1,27 @@ +from fastapi import FastAPI +from langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import ChatPromptTemplate +from langserve import add_routes +from pydantic import BaseModel, Field + +from app.utils.llm_utils import create_llm + + +class TranslateChainInputSchema(BaseModel): + language: str = Field(..., description="要翻译的目标语言") + input: str = Field(..., description="要翻译的内容") + + +translate_chain = ChatPromptTemplate.from_messages([ + ('system', '你需要把用户的内容翻译为：{language}'), + ('user', "{input}") +]) | create_llm() | StrOutputParser() + + +def add_translate_route(app: FastAPI): + add_routes( + app=app, + runnable=translate_chain, + input_type=TranslateChainInputSchema, + path="/translate", + ) diff --git a/app/create_app.py b/app/create_app.py new file mode 100644 index 0000000..c449539 --- /dev/null +++ b/app/create_app.py @@ -0,0 +1,68 @@ +from contextlib import asynccontextmanager + +from fastapi import FastAPI +from fastapi.openapi.docs import get_swagger_ui_html, get_swagger_ui_oauth2_redirect_html, get_redoc_html +from starlette.middleware.cors import CORSMiddleware +from starlette.responses import RedirectResponse +from starlette.staticfiles import StaticFiles + +from app.utils.db_utils import check_database_connection +from app.utils.postgres_checkpointer import check_postgres_connection, close_postgres_connection + + +def create_app(): + @asynccontextmanager + async def lifespan(app: FastAPI): + print("lifespan：启动阶段") + async_engine = await check_database_connection() + await check_postgres_connection() + yield + print("lifespan：销毁阶段") + await async_engine.dispose() + await close_postgres_connection() + + app = FastAPI( + docs_url=None, # 禁用默认 Swagger + redoc_url=None, # 禁用默认 ReDoc + lifespan=lifespan, + ) + + app.mount("/static", StaticFiles(directory="static"), name="static") + + # 自定义 Swagger 页面（使用本地资源） + @app.get("/docs", include_in_schema=False) + async def custom_swagger_ui(): + return get_swagger_ui_html( + openapi_url=app.openapi_url, + title=app.title + " - Swagger UI", + oauth2_redirect_url=app.swagger_ui_oauth2_redirect_url, + swagger_js_url="/static/swagger-ui-bundle.min.js", + swagger_css_url="/static/swagger-ui.min.css", + ) + + @app.get(app.swagger_ui_oauth2_redirect_url, include_in_schema=False) + async def swagger_ui_redirect(): + return get_swagger_ui_oauth2_redirect_html() + + @app.get("/redoc", include_in_schema=False) + async def redoc_html(): + return get_redoc_html( + openapi_url=app.openapi_url, + title=app.title + " - ReDoc", + redoc_js_url="/static/redoc.standalone.js", + ) + + app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + expose_headers=["*"], + ) + + @app.get("/") + async def redirect_root_to_docs(): + return RedirectResponse("/docs") + + return app diff --git a/app/middlewares/app_middlewares.py b/app/middlewares/app_middlewares.py new file mode 100644 index 0000000..255e5cc --- /dev/null +++ b/app/middlewares/app_middlewares.py @@ -0,0 +1,69 @@ +import time + +from fastapi import FastAPI, HTTPException +from passlib.exc import InvalidTokenError +from starlette import status +from starlette.requests import Request +from starlette.responses import JSONResponse + +from app.config.env import env +from app.controller.add_user_route import unauthorized_exception, get_current_user +from app.utils.db_utils import async_session + + +def add_app_middlewares(app: FastAPI): + @app.middleware("http") + async def add_process_time_header(request: Request, call_next): + print("time start") + start_time = time.time() + response = await call_next(request) + process_time = f"time:{time.time() - start_time}s" + response.headers['x-Process-Time'] = process_time + print("time end") + return response + + # @app.middleware("http") + # async def middleware2(request: Request, call_next): + # print("middleware2 start") + # response = await call_next(request) + # print("middleware2 end") + # return response + + @app.middleware("http") + async def add_oauth_middleware(request: Request, call_next): + if not env.jwt_global_enable: + # 没有开启全局的接口认证功能 + return await call_next(request) + + # 判断接口是否为认证白名单中的接口 + if request.url.path in env.jwt_white_list: + return await call_next(request) + + token: str | None = None + oauth_header = request.headers.get("Authorization") + if oauth_header and oauth_header.startswith("Bearer "): + token = oauth_header.split(" ")[1].strip() + + if not token: + raise unauthorized_exception + + async with async_session() as session: + try: + public_user = await get_current_user(session, token) + request.state.user = public_user + request.state.token = token + except InvalidTokenError: + raise unauthorized_exception + + response = await call_next(request) + return response + @app.middleware("http") + async def catch_authorized(request: Request, call_next): + try: + response = await call_next(request) + except HTTPException as e: + if e.status_code == status.HTTP_401_UNAUTHORIZED: + return JSONResponse(content=e.detail, status_code=status.HTTP_401_UNAUTHORIZED) + else: + raise e + return response diff --git a/app/model/BasicModel.py b/app/model/BasicModel.py new file mode 100644 index 0000000..29c9c96 --- /dev/null +++ b/app/model/BasicModel.py @@ -0,0 +1,62 @@ +from datetime import datetime, timezone, timedelta, date + +from pydantic import model_validator +from sqlmodel import SQLModel, Field + +# 定义北京时区（UTC+8） +beijing_timezone = timezone(timedelta(hours=8)) + +# 定义获取当前北京时区时间的匿名函数，用于默认值生成 +current_datetime = lambda: datetime.now(beijing_timezone) + + +# 定义基础模型类，所有其他模型类的父类，包含通用字段和配置 +class BasicModel(SQLModel): + # 唯一标识字段，主键，默认为None（通常由系统生成），描述为“唯一标识，编号” + id: str = Field(default=None, primary_key=True, description="唯一标识，编号") + # 创建时间字段，默认值为当前北京时区时间，描述为“创建时间” + created_at: datetime = Field(default_factory=current_datetime, description="创建时间") + # 更新时间字段，默认值为当前北京时区时间，描述为“更新时间” + updated_at: datetime = Field(default_factory=current_datetime, description="更新时间") + # 创建人ID字段，默认为None，描述为“创建人id” + created_by: str | None = Field(default=None, description="创建人id") + # 更新人ID字段，默认为None，描述为“更新人id” + updated_by: str | None = Field(default=None, description="更新人id") + + # 模型配置类，用于设置JSON序列化等配置 + class Config: + # 定义datetime和date类型的JSON编码器，将其格式化为指定字符串 + json_encoders = { + # 若为datetime类型，格式化为“年-月-日 时:分:秒”，若为None则保持None + datetime: lambda dt: dt.strftime("%Y-%m-%d %H:%M:%S") if dt is not None else None, + # 若为date类型，格式化为“年-月-日”，若为None则保持None + date: lambda dt: dt.strftime("%Y-%m-%d") if dt is not None else None + } + + # 定义模型验证器，在数据解析前（mode='before'）执行，用于处理字符串格式的日期时间 + @model_validator(mode='before') + def parse_string_datetimes(cls, data: dict) -> dict: + # 处理datetime类型字段：将字符串格式的日期时间转换为datetime对象 + datetime_fields = { + k: datetime.strptime(v, "%Y-%m-%d %H:%M:%S") # 使用strptime解析字符串为datetime + for k, v in data.items() # 遍历输入数据的键值对 + if isinstance(v, str) # 只处理值为字符串的项 + and k in cls.model_fields # 键必须是模型中定义的字段 + and cls.model_fields[k].annotation is datetime # 字段的注解类型是datetime + } + # 处理date类型字段：将字符串格式的日期转换为date对象（通过datetime解析后取date部分） + date_fields = { + k: datetime.strptime(v, "%Y-%m-%d").date() # 使用strptime解析字符串为datetime后取date + for k, v in data.items() # 遍历输入数据的键值对 + if isinstance(v, str) # 只处理值为字符串的项 + and k in cls.model_fields # 键必须是模型中定义的字段 + and cls.model_fields[k].annotation is date # 字段的注解类型是date + } + # 打印转换后的datetime字段，用于调试 + # print("datetime_fields", datetime_fields) + # 合并原始数据、转换后的datetime字段和date字段，转换后的字段会覆盖原始数据中的对应键 + result = {**data, **datetime_fields, **date_fields} + # 打印合并后的结果，用于调试 + # print("result", result) + # 返回处理后的数据字典 + return result diff --git a/app/model/LgApprove.py b/app/model/LgApprove.py new file mode 100644 index 0000000..8994da2 --- /dev/null +++ b/app/model/LgApprove.py @@ -0,0 +1,15 @@ +from sqlmodel import Field + +from app.model.BasicModel import BasicModel +from app.utils.create_module_service import create_model_service + + +class LgApprove(BasicModel, table=True): + __tablename__ = "lg_approve" + + status: str = Field(default=None, description="报销单的状态") + remarks: str = Field(default=None, description="报销备注信息") + result_content: str = Field(default=None, description="审批结果信息") + + +LgApproveService = create_model_service(LgApprove) diff --git a/app/model/LgChat.py b/app/model/LgChat.py new file mode 100644 index 0000000..f751978 --- /dev/null +++ b/app/model/LgChat.py @@ -0,0 +1,13 @@ +from sqlmodel import Field + +from app.model.BasicModel import BasicModel +from app.utils.create_module_service import create_model_service + + +class LgChat(BasicModel, table=True): + __tablename__ = "lg_chat" + + title: str = Field(default=None, description="会话标题") + + +LgChatService = create_model_service(LgChat) diff --git a/app/model/LgMessage.py b/app/model/LgMessage.py new file mode 100644 index 0000000..53ce01c --- /dev/null +++ b/app/model/LgMessage.py @@ -0,0 +1,16 @@ +from sqlmodel import Field + +from app.model.BasicModel import BasicModel +from app.utils.create_module_service import create_model_service + + +class LgMessage(BasicModel, table=True): + __tablename__ = "lg_message" + + title: str = Field(default=None, description="消息标题") + content: str = Field(default=None, description="消息内容") + status: str = Field(default=None, description="消息的状态") + render_configs: str = Field(default=None, description="渲染配置") + + +LgMessageService = create_model_service(LgMessage) diff --git a/app/model/LlmOrder.py b/app/model/LlmOrder.py new file mode 100644 index 0000000..65b24cf --- /dev/null +++ b/app/model/LlmOrder.py @@ -0,0 +1,16 @@ +from datetime import datetime + +from sqlmodel import Field + +from app.model.BasicModel import BasicModel +from app.utils.create_module_service import create_model_service + + +class LlmOrder(BasicModel, table=True): + __tablename__ = "llm_order" + + prod_id: str = Field(default=None, description="商品ID") + user_id: str = Field(default=None, description="用户ID") + + +LlmOrderService = create_model_service(LlmOrder) diff --git a/app/model/LlmProduct.py b/app/model/LlmProduct.py new file mode 100644 index 0000000..17cb87b --- /dev/null +++ b/app/model/LlmProduct.py @@ -0,0 +1,18 @@ +from datetime import datetime + +from sqlmodel import Field + +from app.model.BasicModel import BasicModel +from app.utils.create_module_service import create_model_service + + +class LlmProduct(BasicModel, table=True): + __tablename__ = "llm_product" + + name: str = Field(default=None, description="商品名称") + price: float = Field(default=None, description="商品价格") + valid_start: datetime = Field(default=None, description="商品有效开始时间") + valid_end: datetime = Field(default=None, description="商品有效结束时间") + + +LlmProductService = create_model_service(LlmProduct) diff --git a/app/model/LlmUser.py b/app/model/LlmUser.py new file mode 100644 index 0000000..ff94f61 --- /dev/null +++ b/app/model/LlmUser.py @@ -0,0 +1,15 @@ +from datetime import datetime + +from sqlmodel import Field + +from app.model.BasicModel import BasicModel + + +class LlmUser(BasicModel, table=True): + __tablename__ = "llm_user" + + full_name: str = Field(default=None, description="用户名称") + username: str = Field(default=None, description="用户名") + password: str = Field(default=None, description="用户密码") + member_start: datetime = Field(default=None, description="开通会员时间") + member_end: datetime = Field(default=None, description="会员截止到期时间") diff --git a/app/run_uvicorn.py b/app/run_uvicorn.py new file mode 100644 index 0000000..cc3f666 --- /dev/null +++ b/app/run_uvicorn.py @@ -0,0 +1,44 @@ +import socket +import psutil + +from app.config.env import env + + +def run_uvicorn(): + import uvicorn + + # 获取环境变量中的端口号 + port = int(env.server_port) + + # 打印所有可用的访问地址 + print("\n服务已启动，以下是可用的访问地址：") + print(f" - 本地访问: http://127.0.0.1:{port}") + + for ip in get_local_ips(): + print(f" - 网络访问: http://{ip}:{port}") + + print("\n") # 空行美化输出 + + """ +uvicorn.run() 启动了一个异步事件循环来处理 HTTP 请求， +这个循环会一直运行直到服务器被手动停止（比如按下 Ctrl+C）。 +因此，uvicorn.run() 之后的代码不会被执行，直到服务器关闭。 + """ + # 启动Uvicorn服务器 + uvicorn.run("app.server:app", host="0.0.0.0", port=port) + + # uvicorn.run之后的代码永远都不会执行 + # 使用FastAPI的 @app.on_event("startup")装饰器可以在服务器成功启动后执行代码 + print('App is running...(Never Callable)') + + +def get_local_ips(): + ips = [] + try: + for interface, addrs in psutil.net_if_addrs().items(): + for addr in addrs: + if addr.family == socket.AF_INET and addr.address != '127.0.0.1': + ips.append(addr.address) + except Exception as e: + print(f"获取 IP 地址时出错: {e}") + return ips diff --git a/app/server.py b/app/server.py new file mode 100644 index 0000000..a065b28 --- /dev/null +++ b/app/server.py @@ -0,0 +1,88 @@ +from fastapi import Query +from langchain_core.messages import HumanMessage +from langchain_core.output_parsers import StrOutputParser +from langchain_core.runnables import RunnableLambda +from langserve import add_routes + +from app.config.env import env +from app.controller.add_langgraph_approve_route import add_langgraph_approve_route +from app.controller.add_langgraph_chat_route import add_langgraph_chat_route +from app.controller.add_langgraph_route import add_langgraph_route +from app.controller.add_lg_approve_route import add_lg_approve_route +from app.controller.add_sqlmodel_route import add_sqlmodel_route +from app.controller.add_user_route import add_user_route +from app.controller.custom_chat_playground import add_custom_chat_playground_route +from app.controller.custom_stream_api import add_custom_stream_api_route +from app.controller.test_connection import add_test_connection_route +from app.controller.test_sqlmodel import add_test_sqlmodel_route +from app.controller.test_sync import add_test_sync_route +from app.controller.translate_controller import add_translate_route +from app.create_app import create_app +from app.middlewares.app_middlewares import add_app_middlewares +from app.model.LgApprove import LgApproveService +from app.model.LgChat import LgChatService +from app.model.LgMessage import LgMessageService +from app.model.LlmOrder import LlmOrder, LlmOrderService +from app.model.LlmProduct import LlmProduct, LlmProductService +from app.run_uvicorn import run_uvicorn +from app.utils.ModelInputSchema import ModelInputSchema +from app.utils.add_async_route import add_async_route +from app.utils.create_module_service import create_model_service +from app.utils.llm_utils import create_llm +from app.utils.next_id import add_next_id_route + +app = create_app() + +add_app_middlewares(app) + +add_translate_route(app) +add_custom_chat_playground_route(app) +add_test_sync_route(app) +add_custom_stream_api_route(app) +add_test_connection_route(app) +add_test_sqlmodel_route(app) +add_next_id_route(app) +add_sqlmodel_route(app) +add_user_route(app) +add_langgraph_route(app) +add_lg_approve_route(app) +add_langgraph_approve_route(app) +add_langgraph_chat_route(app) + + +@app.get("/get_env") +async def test(): + return env.model_dump_json() + + +@app.get("/test") +async def test(): + return {"msg": "hello"} + + +@app.get("/test_llm") +async def test_llm(user_content: str = Query(..., description="用户输入的文本内容，将传递给大语言模型处理")): + return (create_llm() | StrOutputParser()).invoke([HumanMessage(content=user_content)]) + + +add_routes( + app=app, + runnable=RunnableLambda(lambda x: x['messages']) | create_llm() | StrOutputParser(), + input_type=ModelInputSchema, + path="/doubao" +) + +add_async_route( + app=app, + runnable=RunnableLambda(lambda x: x['messages']) | create_llm("bailian-qwen-turbo").with_types(input_type=ModelInputSchema), + path="/qwen" +) + +LlmOrderService.add_route(app=app, path="/llm_order") +LlmProductService.add_route(app=app, path="/llm_product") +LgApproveService.add_route(app=app, path="/lg_approve") +LgMessageService.add_route(app=app, path="/lg_message") +LgChatService.add_route(app=app, path="/lg_chat") + +if __name__ == "__main__": + run_uvicorn() diff --git a/app/utils/CrpyUtils.py b/app/utils/CrpyUtils.py new file mode 100644 index 0000000..8703426 --- /dev/null +++ b/app/utils/CrpyUtils.py @@ -0,0 +1,34 @@ +from datetime import timedelta, datetime, timezone + +import jwt +from passlib.context import CryptContext + +from app.config.env import env + +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + + +class CryptUtils: + @staticmethod + def get_password_hash(password: str): + return pwd_context.hash(password) + + @staticmethod + def verify_password(plain_password: str, hashed_password: str): + return pwd_context.verify(plain_password, hashed_password) + + @staticmethod + def create_access_token(username: str, expires_delta: timedelta | None = None): + data: dict = {"sub": username} + if expires_delta: + expire = datetime.now(timezone.utc) + expires_delta + else: + expire = datetime.now(timezone.utc) + timedelta(minutes=env.jwt_access_token_expire_minutes) + data.update({'exp': expire}) + return jwt.encode(data, env.jwt_secret_key, env.jwt_algorithm) + + @staticmethod + def get_username_from_token(token: str): + data = jwt.decode(token, env.jwt_secret_key, algorithms=[env.jwt_algorithm]) + username = data.get("sub") + return username diff --git a/app/utils/CustomEmbeddings.py b/app/utils/CustomEmbeddings.py new file mode 100644 index 0000000..98db2f2 --- /dev/null +++ b/app/utils/CustomEmbeddings.py @@ -0,0 +1,72 @@ +import json + +import requests +from langchain_core.embeddings import Embeddings + + +class CustomEmbeddings(Embeddings): + """ + 自定义文本嵌入类，用于将文本转换为向量表示 + 继承自LangChain的Embeddings基类 + """ + + def __init__(self, base_url, api_key, model): + """ + 初始化自定义嵌入类 + + 参数: + base_url: API的基础URL + api_key: 访问API所需的密钥 + model: 要使用的嵌入模型名称 + """ + self.base_url = base_url # API基础URL + self.api_key = api_key # API访问密钥 + self.model = model # 嵌入模型名称 + + def embed_documents(self, texts): + """ + 将多个文档转换为嵌入向量 + + 参数: + texts: 包含多个文本的列表 + + 返回: + 包含每个文本对应嵌入向量的列表 + """ + # 设置请求头，包括内容类型和认证信息 + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {self.api_key}" + } + + # 构建请求负载 + payload = {"input": texts, "model": self.model, "encoding_format": "float"} + + # 发送POST请求到嵌入API + response = requests.post( + f"{self.base_url}/embeddings", + headers=headers, + data=json.dumps(payload) + ) + + # 检查请求是否成功，如果失败则抛出异常 + response.raise_for_status() + + # 解析响应JSON数据 + json_data = response.json() + + # 从响应数据中提取嵌入向量并返回 + return [item["embedding"] for item in json_data["data"]] + + def embed_query(self, text): + """ + 将单个查询文本转换为嵌入向量 + + 参数: + text: 查询文本 + + 返回: + 对应的嵌入向量 + """ + # 调用embed_documents处理单个文本，并返回第一个结果 + return self.embed_documents([text])[0] diff --git a/app/utils/ModelInputSchema.py b/app/utils/ModelInputSchema.py new file mode 100644 index 0000000..86bfccb --- /dev/null +++ b/app/utils/ModelInputSchema.py @@ -0,0 +1,13 @@ +from typing import List, Union + +from langchain_core.messages import HumanMessage, AIMessage, SystemMessage +from pydantic import BaseModel, Field + + +class ModelInputSchema(BaseModel): + """Input for the chat endpoint.""" + + messages: List[Union[HumanMessage, AIMessage, SystemMessage]] = Field( + ..., + description="当前对话中的消息历史", + ) diff --git a/app/utils/PageQueryParams.py b/app/utils/PageQueryParams.py new file mode 100644 index 0000000..5e15b42 --- /dev/null +++ b/app/utils/PageQueryParams.py @@ -0,0 +1,14 @@ +from pydantic import BaseModel, Field + + +class PageQueryParams(BaseModel): + page: int = Field(default=0, description="分页查询的页数") + page_size: int = Field(default=5, description="分页查询每页条数") + + all: bool = Field(default=False, description="是否查询所有数据，也就是不分页") + count: bool = Field(default=True, description="是否查询总数") + + sort_field: str = Field(default="created_at", description="排序字段") + sort_desc: str = Field(default="desc", description="排序方式") + + filters: dict = Field(default=None, description="筛选参数") diff --git a/app/utils/add_async_route.py b/app/utils/add_async_route.py new file mode 100644 index 0000000..91a1489 --- /dev/null +++ b/app/utils/add_async_route.py @@ -0,0 +1,70 @@ +import json +import time +from typing import Any, List + +from fastapi import APIRouter, FastAPI +from langchain_core.messages import AIMessage +from langchain_core.runnables import Runnable +from starlette.responses import StreamingResponse + + +def format_ai_message(ai_message: AIMessage): + return { + "choices": [{ + "finish_reason": "stop", + "index": 0, + "message": { + "content": ai_message.content, + "role": "assistant" + } + }], + "created": int(time.time()), + "id": ai_message.id, + "usage": ai_message.response_metadata.get('token_usage') + } + + +def add_async_route( + app: FastAPI, + runnable: Runnable, + path: str, + input_type: Any = None, # 设置接口的传入参数类型，input_type实际上是一个pydantic类 +): + router = APIRouter(prefix=path, tags=[path]) + + _input_type = input_type or runnable.input_schema + + @router.post('/ainvoke') + async def ainvoke(input: _input_type): + ai_message = await runnable.ainvoke(input.model_dump()) + return format_ai_message(ai_message) + + @router.post('/abatch') + async def abatch(inputs: List[_input_type]): + ai_message_list = await runnable.abatch([input.model_dump() for input in inputs]) + return [format_ai_message(ai_message) for ai_message in ai_message_list] + + @router.post('/astream') + async def astream(input: _input_type): + async def generator_function(): + result_template = { + "choices": [{"delta": {}, "index": 0}], + "created": time.time(), + "id": "", + "usage": None + } + async for chunk in runnable.astream(input.model_dump()): + result_template["choices"][0]["delta"]['content'] = chunk.content + result_template["choices"][0]["delta"]['role'] = 'assistant' + + if chunk.response_metadata.get('finish_reason') is not None: + result_template["choices"][0]["delta"]['finish_reason'] = chunk.response_metadata.get('finish_reason') + + result_template['id'] = chunk.id + result_template['created'] = int(time.time()) + yield f"data: {json.dumps(result_template, ensure_ascii=False)}\n\n" + yield "data: [DONE]\n\n" + + return StreamingResponse(generator_function(), media_type="text/event-stream") + + app.include_router(router) diff --git a/app/utils/create_module_service.py b/app/utils/create_module_service.py new file mode 100644 index 0000000..6fe543c --- /dev/null +++ b/app/utils/create_module_service.py @@ -0,0 +1,458 @@ +import asyncio +import json +from typing import Type, List, Any, Union + +from fastapi import FastAPI, APIRouter, HTTPException, Body +from pydantic import create_model +from sqlalchemy import func +from sqlmodel import select + +from app.model.BasicModel import BasicModel +from app.utils.PageQueryParams import PageQueryParams +from app.utils.db_utils import AsyncSessionDep +from app.utils.next_id import next_id + + +def create_model_service( + #/*@formatter:off*/ + Cls: Type[BasicModel], # model实体类 + + before_query_list=None, # 分页查询前异步处理函数，参数：(query_param, session) + after_query_list=None, # 分页查询后异步处理函数，参数：(query_cls_list, has_next, query_param, session) + before_query_item=None, # 单条查询前异步处理函数，参数：(row_dict, session) + after_query_item=None, # 单条查询后异步处理函数，参数：(item_cls, row_dict, session) + before_insert=None, # 单条新建前异步处理函数，参数：(row_dict, session) + after_insert=None, # 单条新建后异步处理函数，参数：(insert_cls, row_dict, session) + before_update=None, # 单条更新前异步处理函数，参数：(row_dict, session) + after_update=None, # 单条更新后异步处理函数，参数：(update_cls, row_dict, session) + before_delete=None, # 单条删除前异步处理函数，参数：(row_dict, session) + after_delete=None, # 单条删除后异步处理函数，参数：(delete_cls, row_dict, session) + + before_batch_insert=None, # 批量新建前异步处理函数，参数：(row_dict_list, session) + after_batch_insert=None, # 批量新建后异步处理函数，参数：(refresh_cls_list, row_dict_list, session) + before_batch_update=None, # 批量更新前异步处理函数，参数：(row_dict_list, session) + after_batch_update=None, # 批量更新后异步处理函数，参数：(refresh_cls_list, row_dict_list, session) + before_batch_delete=None, # 批量删除前异步处理函数，参数：(row_dict_list, session) + after_batch_delete=None, # 批量删除后异步处理函数，参数：(delete_cls_list, row_dict_list, session) + # /*@formatter:on*/ +): + # 定义模型服务类，封装模型相关的CRUD接口及业务逻辑 + class ModelService: + # 支持的所有端点列表，包含常用的CRUD及批量操作 + END_POINTS = ['list', 'item', 'insert', 'batch_insert', 'update', 'batch_update', 'delete', 'batch_delete'] + + def __init__(self): + # 验证传入的模型类是否继承自BasicModel，确保基础字段存在 + if not issubclass(Cls, BasicModel): + raise TypeError(f"{Cls.__name__} 必须继承自 BasicModel") + # 保存当前操作的模型类 + self.Cls = Cls + + # 检查字典中的键是否为模型类的有效属性 + # 参数: + # row_dict: 待检查的字典（通常为请求参数） + def check_invalid_keys(self, row_dict: dict): + # 筛选出所有不在模型类属性中的键（无效键） + invalid_keys = [key for key in row_dict.keys() if not hasattr(Cls, key)] + if invalid_keys: + # 若存在无效键，抛出HTTP 500异常，提示无效键和有效键列表 + raise HTTPException( + status_code=500, + detail=f"Invalid filter keys: {invalid_keys}. Valid keys are: {Cls.__annotations__.keys()}" + ) + + def add_route( + self, + app: FastAPI, # FastAPI实例，用来注册路由 + path: str, # 路由前缀地址 + end_points: List[str] = None, # 生成的端点入口接口清单 + ): + # 确定启用的端点，默认为全部支持的端点 + if not end_points: + end_points = self.END_POINTS + + # 动态创建分页查询的响应模型：包含数据列表和是否有下一页的标识 + ListResponse = create_model(f"{Cls.__name__}ListResponse", list=(List[Cls], ...), has_next=(bool, ...), total=(Union[int, None], None)) + # 动态创建单条查询的响应模型：包含单个模型实例 + ItemResponse = create_model(f"{Cls.__name__}ItemResponse", result=(Cls, ...)) + # 动态创建批量操作的响应模型：包含操作后的模型实例列表 + BatchResponse = create_model(f"{Cls.__name__}BatchResponse", result=(List[Cls], ...)) + # 动态创建批量删除的响应模型：包含删除操作是否成功的标识 + DeleteResponse = create_model(f"{Cls.__name__}BatchResponse", result=(bool, ...)) + + # 创建APIRouter实例，设置路由前缀和标签（标签用于API文档分组） + router = APIRouter(prefix=path, tags=[path]) + + # 若启用"list"端点，注册列表查询接口 + if 'list' in end_points: + # 列表查询接口：支持过滤和分页，响应模型为ListResponse + @router.post("/list", response_model=ListResponse) + async def _list(query_param: PageQueryParams, session: AsyncSessionDep): + # 调用query_list方法执行查询，获取数据列表和是否有下一页 + query_cls_list, has_next, total = await self.query_list(query_param, session) + # 返回符合响应模型的结果 + return { + "list": query_cls_list, + "has_next": has_next, + "total": total, + } + + # 若启用"item"端点，注册单条查询接口 + if 'item' in end_points: + # 单条查询接口：根据条件查询单条记录，响应模型为ItemResponse + @router.post("/item", response_model=ItemResponse) + async def _item( + session: AsyncSessionDep, + row_dict: dict = Body(..., description=f"插入的数据，字段参考{Cls.__name__}") + ): + # 调用query_item方法查询单条记录并返回 + return {"result": await self.query_item(session, row_dict)} + + # 若启用"insert"端点，注册单条插入接口 + if 'insert' in end_points: + # 单条插入接口：新增一条记录，响应模型为ItemResponse + @router.post("/insert", response_model=ItemResponse) + async def _insert( + session: AsyncSessionDep, + row_dict: dict = Body(..., description=f"插入的数据，字段参考{Cls.__name__}") + ): + # 调用item_insert方法执行插入并返回结果 + return {"result": await self.item_insert(session, row_dict)} + + # 若启用"batch_insert"端点，注册批量插入接口 + if 'batch_insert' in end_points: + # 批量插入接口：批量新增记录，响应模型为BatchResponse + @router.post("/batch_insert", response_model=BatchResponse) + async def _batch_insert( + session: AsyncSessionDep, + row_dict_list: List[dict] = Body(..., description=f"批量插入的数据数组，字段参考{Cls.__name__}") + ): + # 调用batch_insert方法执行批量插入并返回结果 + return {"result": await self.batch_insert(session, row_dict_list)} + + # 若启用"update"端点，注册单条更新接口 + if 'update' in end_points: + # 单条更新接口：更新一条记录，响应模型为ItemResponse + @router.post("/update", response_model=ItemResponse) + async def _update( + session: AsyncSessionDep, + row_dict: dict = Body(..., description=f"更新的数据，字段参考{Cls.__name__}") + ): + # 调用item_update方法执行更新并返回结果 + return {"result": await self.item_update(session, row_dict)} + + # 若启用"batch_update"端点，注册批量更新接口 + if 'batch_update' in end_points: + # 批量更新接口：批量更新记录，响应模型为BatchResponse + @router.post("/batch_update", response_model=BatchResponse) + async def _batch_update( + session: AsyncSessionDep, + row_dict_list: List[dict] = Body(..., description=f"批量更新的数据数组，字段参考{Cls.__name__}") + ): + # 调用batch_update方法执行批量更新并返回结果 + return {"result": await self.batch_update(session, row_dict_list)} + + # 若启用"delete"端点，注册单条删除接口 + if 'delete' in end_points: + # 单条删除接口：删除一条记录，响应模型为DeleteResponse + @router.post("/delete", response_model=DeleteResponse) + async def _delete( + session: AsyncSessionDep, + row_dict: dict = Body(..., description=f"删除的数据，字段参考{Cls.__name__}") + ): + # 调用item_delete方法执行删除并返回结果 + return {"result": await self.item_delete(session, row_dict)} + + # 若启用"batch_delete"端点，注册批量删除接口 + if 'batch_delete' in end_points: + # 批量删除接口：批量删除记录，响应模型为DeleteResponse + @router.post("/batch_delete", response_model=DeleteResponse) + async def _delete( + session: AsyncSessionDep, + row_dict_list: List[dict] = Body(..., description=f"批量删除的数据数组，字段参考{Cls.__name__}") + ): + # 调用batch_delete方法执行批量删除并返回结果 + return {"result": await self.batch_delete(session, row_dict_list)} + + # 将路由添加到FastAPI应用 + app.include_router(router) + + # 分页查询工具方法：执行带过滤和分页的查询 + async def query_list(self, query_param: PageQueryParams, session: AsyncSessionDep): + + if before_query_list is not None: + await before_query_list(query_param, session) + + # 创建基础查询：查询当前模型类的所有记录 + query = select(Cls) + count_query = select(func.count()).select_from(Cls) + + # 若有过滤条件，验证并应用过滤 + if query_param.filters: + self.check_invalid_keys(query_param.filters) + # 为每个过滤条件添加WHERE子句（字段=值） + for key, value in query_param.filters.items(): + query = query.where(getattr(Cls, key) == value) + count_query = count_query.where(getattr(Cls, key) == value) + + if query_param.sort_field: + # 为排序字段添加ORDER BY子句 + cls_attr = getattr(Cls, query_param.sort_field) + order_value = cls_attr.desc() if query_param.sort_desc == 'desc' else cls_attr.asc(); + query = query.order_by(order_value) + + # 若不查询全部数据（即启用分页） + if query_param.all is False: + # 计算偏移量（跳过前N条），并查询比一页多1条的记录（用于判断是否有下一页） + query = query.offset(query_param.page * query_param.page_size).limit(query_param.page_size + 1) + + # 执行查询并获取结果 + result = await session.execute(query) + + if query_param.count: + total, = (await session.execute(count_query)).one() + else: + total = None + + # 将查询结果转换为标量列表（模型实例列表） + query_cls_list: List[Any] = result.scalars().all() + + # 打印查询结果类型和内容（调试用） + print("query_cls_list", type(query_cls_list), query_cls_list) + + # 判断是否有下一页：若查询结果数量等于一页大小+1，则说明有下一页 + has_next = len(query_cls_list) == query_param.page_size + 1 + + # 若有下一页，移除多查询的那一条记录 + if has_next: + query_cls_list.pop() + + if after_query_list is not None: + await after_query_list(query_cls_list, has_next, query_param, session) + + # 返回处理后的结果列表和是否有下一页的标识 + return (query_cls_list, has_next, total) + + # 单条查询工具方法：根据条件查询单条记录 + async def query_item(self, session: AsyncSessionDep, row_dict: dict = Body(..., description=f"查询数据的字段筛选值，字段参考{Cls.__name__}")): + if before_query_item is not None: + await before_query_item(row_dict, session) + + # 创建基础查询：查询当前模型类的所有记录 + query = select(Cls) + + # 验证查询条件中的键是否有效 + self.check_invalid_keys(row_dict) + # 为每个条件添加WHERE子句（字段=值） + for key, value in row_dict.items(): + query = query.where(getattr(Cls, key) == value) + + # 执行查询 + result = await session.execute(query) + # 返回第一条匹配的记录（若存在） + item_cls = result.scalars().first() + + if after_query_item is not None: + await after_query_item(item_cls, row_dict, session) + + return item_cls + + # 单条插入工具方法：新增一条记录 + async def item_insert(self, session: AsyncSessionDep, row_dict: dict = Body(..., description=f"插入的数据，字段参考{Cls.__name__}")): + if before_insert is not None: + await before_insert(row_dict, session) + + # 若未提供id，自动生成唯一id + if row_dict.get("id") is None: + row_dict["id"] = await next_id() + + try: + # 使用模型类验证数据并创建实例（校验字段类型和约束） + insert_cls = Cls.model_validate(row_dict) + except ValueError as e: + # 数据验证失败时，抛出HTTP 500异常并返回错误详情 + raise HTTPException(status_code=500, detail=str(e)) + # 将实例添加到数据库会话 + session.add(insert_cls) + # 提交事务（保存到数据库） + await session.commit() + # 刷新实例，获取数据库生成的最新数据（如自动更新的时间字段） + await session.refresh(insert_cls) + + if after_insert is not None: + await after_insert(insert_cls, row_dict, session) + + # 返回插入的实例 + return insert_cls + + # 批量插入工具方法：批量新增记录 + async def batch_insert(self, session: AsyncSessionDep, row_dict_list: List[dict] = Body(..., description=f"批量插入的数据数组，字段参考{Cls.__name__}")): + + if before_batch_insert is not None: + await before_batch_insert(row_dict_list, session) + + # 筛选出没有id的记录（需要自动生成id） + row_dict_list_without_id = [] + + for row_dict in row_dict_list: + if row_dict.get("id") is None: + row_dict_list_without_id.append(row_dict) + + # 若存在需要自动生成id的记录 + if len(row_dict_list_without_id): + # 批量生成唯一id（数量等于需要生成id的记录数） + new_id_list = await next_id(len(row_dict_list_without_id)) + # 为每条记录分配生成的id + for index, id in enumerate(new_id_list): + row_dict_list_without_id[index]["id"] = id + + try: + # 验证所有记录并转换为模型实例列表 + insert_cls_list = [Cls.model_validate(row_dict) for row_dict in row_dict_list] + except ValueError as e: + # 验证失败时抛出异常 + raise HTTPException(status_code=500, detail=str(e)) + + # 将所有实例添加到会话 + session.add_all(insert_cls_list) + + # 提交事务，保存数据到数据库 + await session.commit() + + # 查询并返回所有插入的实例（刷新数据，确保获取最新状态） + refresh_cls_list = (await session.execute(select(Cls).where(Cls.id.in_([obj.id for obj in insert_cls_list])))).scalars().all() + + if after_batch_insert is not None: + await after_batch_insert(refresh_cls_list, row_dict_list, session) + + # 返回刷新后的实例列表 + return refresh_cls_list + + # 单条更新工具方法：更新一条记录 + async def item_update(self, session: AsyncSessionDep, row_dict: dict = Body(..., description=f"更新的数据，字段参考{Cls.__name__}")): + + if before_update is not None: + await before_update(row_dict, session) + + # 检查id是否存在（更新必须指定id） + if not row_dict.get('id'): + raise HTTPException(status_code=400, detail="ID不能为空") + # 根据id查询要更新的记录 + update_cls = (await session.exec(select(Cls).where(Cls.id == row_dict.get('id')))).first() + if not update_cls: + # 若记录不存在，抛出异常 + raise HTTPException(status_code=500, detail="Update row not found") + + # 遍历更新字段：为记录的每个键设置新值 + for key, value in row_dict.items(): + setattr(update_cls, key, value) + + # 将更新后的实例添加到会话 + session.add(update_cls) + # 提交事务 + await session.commit() + # 刷新实例，获取最新数据 + await session.refresh(update_cls) + + if after_update is not None: + await after_update(update_cls, row_dict, session) + + # 返回更新后的实例 + return update_cls + + # 批量更新工具方法：批量更新记录 + async def batch_update(self, session: AsyncSessionDep, row_dict_list: List[dict] = Body(..., description=f"批量更新的数据数组，字段参考{Cls.__name__}")): + + if before_batch_update is not None: + await before_batch_update(row_dict_list, session) + + # 提取所有待更新记录的id + update_id_list = [row_dict['id'] for row_dict in row_dict_list] + # 根据id查询所有待更新的记录 + update_cls_list = (await session.exec(select(Cls).where(Cls.id.in_(update_id_list)))).all() + # 若查询到的记录数量与待更新数量不一致，说明部分id不存在 + if len(update_cls_list) != len(row_dict_list): + # 抛出异常并提示不存在的id + raise HTTPException(status_code=500, detail="Update row not found：" + json.dumps(row_dict_list, ensure_ascii=False)) + + # 创建id到更新数据的映射（便于快速查找） + id_2_row_dict = {row_dict["id"]: row_dict for row_dict in row_dict_list} + + # 遍历每条查询到的记录，更新其字段 + for update_cls in update_cls_list: + # 获取当前记录对应的更新数据（根据id） + row_dict = id_2_row_dict.get(update_cls.id, None) + # 遍历更新字段 + for key, value in row_dict.items(): + setattr(update_cls, key, value) + + # 将所有更新后的实例添加到会话 + session.add_all(update_cls_list) + + # 提交事务 + await session.commit() + # 查询并返回所有更新后的实例（刷新数据） + refresh_cls_list = (await session.execute(select(Cls).where(Cls.id.in_([obj.id for obj in update_cls_list])))).scalars().all() + + if after_batch_update is not None: + await after_batch_update(refresh_cls_list, row_dict_list, session) + + # 返回刷新后的实例列表 + return refresh_cls_list + + # 单条删除工具方法：删除一条记录 + async def item_delete(self, session: AsyncSessionDep, row_dict: dict = Body(..., description=f"删除的数据，字段参考{Cls.__name__}")): + + if before_delete is not None: + await before_delete(row_dict, session) + + # 根据id查询要删除的记录 + delete_cls = (await session.exec(select(Cls).where(Cls.id == row_dict.get('id')))).first() + if not delete_cls: + # 若记录不存在，返回删除失败 + return False + + # 从会话中删除记录 + await session.delete(delete_cls) + # 提交事务，执行删除 + await session.commit() + + if after_delete is not None: + await after_delete(delete_cls, row_dict, session) + + # 返回删除成功 + return True + + # 批量删除工具方法：批量删除记录 + async def batch_delete(self, session: AsyncSessionDep, row_dict_list: List[dict] = Body(..., description=f"批量删除的数据数组，字段参考{Cls.__name__}")): + + if before_batch_delete is not None: + await before_batch_delete(row_dict_list, session) + + # 若待删除列表为空，返回失败 + if not row_dict_list: + return False + # 提取所有待删除记录的id + row_id_list = [row_dict.get("id") for row_dict in row_dict_list] + + # 根据id查询所有待删除的记录 + delete_cls_list = (await session.exec(select(Cls).where(Cls.id.in_(row_id_list)))).all() + # 若查询到的记录数量与待删除数量不一致，说明部分id不存在 + if len(delete_cls_list) != len(row_id_list): + # 抛出异常并提示不存在的id + raise HTTPException(status_code=500, detail="Delete row not found：" + json.dumps(row_id_list, ensure_ascii=False)) + + # 异步批量删除所有记录（使用gather并发执行删除操作） + await asyncio.gather(*[asyncio.create_task(session.delete(delete_cls)) for delete_cls in delete_cls_list]) + + # 提交事务，执行删除 + await session.commit() + + if after_batch_delete is not None: + await after_batch_delete(delete_cls_list, row_dict_list, session) + + # 返回删除成功 + return True + + # 创建并返回ModelService实例 + return ModelService() diff --git a/app/utils/db_utils.py b/app/utils/db_utils.py new file mode 100644 index 0000000..9310222 --- /dev/null +++ b/app/utils/db_utils.py @@ -0,0 +1,62 @@ +import asyncio +import sys +from contextlib import asynccontextmanager +from typing import Annotated, AsyncContextManager + +from fastapi.params import Depends +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from sqlalchemy import AsyncAdaptedQueuePool, text +from sqlalchemy.ext.asyncio import AsyncEngine +from sqlalchemy.orm import sessionmaker +from sqlmodel.ext.asyncio.session import AsyncSession + +from app.config.env import env +from sqlmodel import create_engine + +DATABASE_URL = f"mysql+asyncmy://{env.db_username}:{env.db_password}@{env.db_host}:{env.db_port}/{env.db_database}?charset=utf8mb4" + +# 创建异步引擎实例，用于异步操作数据库 +async_engine = AsyncEngine(create_engine( + DATABASE_URL, + poolclass=AsyncAdaptedQueuePool, # 使用异步适配的队列池 + pool_size=5, # 连接池保持的连接数 + max_overflow=10, # 允许超过pool_size的最大连接数 + pool_timeout=30, # 获取连接的超时时间(秒) + pool_recycle=3600, # 连接回收时间(秒) + echo=True, # 启用SQL语句日志输出，便于开发调试 + future=True, # 启用SQLAlchemy 2.0风格的未来模式API +)) + +# 创建一个会话工厂函数 +async_session = sessionmaker( + bind=async_engine, + class_=AsyncSession, + expire_on_commit=False +) + + +# 作用：用于在接口中注入得到会话实例对象session，在接口执行完毕之后，自动执行close动作关闭会话 +async def get_async_session() -> AsyncSession: + async with async_session() as session: + yield session + + +AsyncSessionDep = Annotated[AsyncSession, Depends(get_async_session)] + + +# 用于启动服务的时候检查数据库连接是否正常 +async def check_database_connection(): + """检查数据库连接是否正常""" + try: + async with async_engine.begin() as conn: + print("Connecting Mysql...") + await conn.execute(text("select 1")) + # 打印连接成功信息及连接URL + print("✅ Database connection successful：", DATABASE_URL) + except Exception as e: + # 打印连接失败信息及错误详情 + print(f"❌ Database connection failed: {e}") + # 重新抛出异常，让上层处理 + raise e + + return async_engine diff --git a/app/utils/llm_utils.py b/app/utils/llm_utils.py new file mode 100644 index 0000000..f4d66ea --- /dev/null +++ b/app/utils/llm_utils.py @@ -0,0 +1,62 @@ +from langchain_core.runnables import RunnableLambda +from langchain_openai import ChatOpenAI + +from app.config.ai_configs import ai_configs +from app.utils.CustomEmbeddings import CustomEmbeddings + + +def create_llm(platform_code='huoshan-doubao', temperature=0.5): + _ai_config = ai_configs.get(platform_code) + + if _ai_config is None: + raise Exception('Unknown platform code', platform_code) + + return ChatOpenAI( + base_url=_ai_config.get('url').replace("chat/completions", ""), + api_key=_ai_config.get('key'), + model=_ai_config.get('model'), + temperature=temperature, + ) + + +def create_embeddings(platform_code="huoshan-embedding-240715"): + """ + 创建自定义嵌入模型实例 + + 参数: + platform_code: 平台代码，用于从默认配置中查找对应平台的API信息 + + 返回: + CustomEmbeddings类的实例，用于生成文本嵌入向量 + + 异常: + 当找不到对应平台代码的配置时抛出异常 + """ + # 从默认配置中获取指定平台的AI配置信息 + _ai_config = ai_configs.get(platform_code) + + # 检查配置是否存在 + if _ai_config is None: + raise Exception('Unknown platform code', platform_code) + + # 创建并返回自定义嵌入模型实例 + return CustomEmbeddings( + base_url=_ai_config.get('url').replace("/embeddings", ""), # API基础URL + api_key=_ai_config.get('key'), # API密钥 + model=_ai_config.get('model') # 嵌入模型名称 + ) + + +def chain_log(format_func=None): + """创建一个函数，用于在链中打印上一个管道的结果""" + + def func(val): + print("\033[34m chain log==>>", format_func(val) if format_func is not None else val, '\033[0m') + return val + + return func + + +def runnable_chain_log(format_func=None): + """创建一个Runnable对象，用于在链中打印上一个管道的结果，如果上一个管道是字典对象，那么打印这个字典对象需要使用runnable_chain_log""" + return RunnableLambda(chain_log(format_func)) diff --git a/app/utils/next_id.py b/app/utils/next_id.py new file mode 100644 index 0000000..e287955 --- /dev/null +++ b/app/utils/next_id.py @@ -0,0 +1,23 @@ +from fastapi import FastAPI +from sqlalchemy import text + +from app.utils.db_utils import async_session + + +async def next_id(num: int = 1): + async with async_session() as session: + sql_string = "select " + ",".join([f"uuid() as _{index}" for index in range(num)]) + print(sql_string) + result = await session.execute(text(sql_string)) + val = result.first() + print(val) + arr = list(val or []) + return arr[0] if num == 1 else arr + + +def add_next_id_route(app: FastAPI): + @app.get("/next_id") + async def _next_id(num: int = 1): + return { + "data": await next_id(num), + } diff --git a/app/utils/postgres_checkpointer.py b/app/utils/postgres_checkpointer.py new file mode 100644 index 0000000..855cb44 --- /dev/null +++ b/app/utils/postgres_checkpointer.py @@ -0,0 +1,136 @@ +import asyncio +import sys +import time +from typing import Optional, AsyncContextManager, Annotated, TypedDict + +from fastapi import Depends +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from langgraph.graph import StateGraph +from langgraph.graph.state import CompiledStateGraph + +from app.config.env import env + +# 构造PostgreSQL数据库连接字符串 +POSTGRES_DATABASE_URL = (f"postgresql://{env.pg_db_username}:{env.pg_db_password}@" + f"{env.pg_db_host}:{env.pg_db_port}/{env.pg_db_database}" + f"?connect_timeout=10&keepalives=1&keepalives_idle=30" + f"&keepalives_interval=10&keepalives_count=3") + + +class PostgresCheckpointerManager: + # 单例实例，存储AsyncPostgresSaver对象 + _instance: Optional[AsyncPostgresSaver] = None + # 存储异步上下文管理器，用于正确管理数据库连接的生命周期 + _context_manger: Optional[AsyncContextManager] = None + # 异步锁，确保在并发环境下单例实例的创建是线程安全的 + _lock = asyncio.Lock() + # 最后一次检测连接是否有效的时间 + _last_check_time = time.time() + # 一个图用来测试连接是否仍然有效 + _graph: Optional[CompiledStateGraph] = None + + @staticmethod + async def get_instance() -> AsyncPostgresSaver: + is_connection_alive = await PostgresCheckpointerManager.is_connection_alive() + if not is_connection_alive: + + # 使用异步锁确保并发安全 + async with PostgresCheckpointerManager._lock: + if PostgresCheckpointerManager._instance: + await PostgresCheckpointerManager.close_instance() + + # 从连接字符串创建AsyncPostgresSaver上下文管理器 + PostgresCheckpointerManager._context_manger = AsyncPostgresSaver.from_conn_string(POSTGRES_DATABASE_URL) + # 进入异步上下文，初始化数据库连接 + PostgresCheckpointerManager._instance = await PostgresCheckpointerManager._context_manger.__aenter__() + # 创建用来测试连接是否有效的图 + PostgresCheckpointerManager._graph = create_test_graph(PostgresCheckpointerManager._instance) + # 打印调试信息 + print("Create AsyncPostgresSaver:", PostgresCheckpointerManager._instance) + + # 返回单例实例 + return PostgresCheckpointerManager._instance + + @staticmethod + async def close_instance(): + """ + 关闭并清理单例实例和相关资源 + """ + # 清理实例引用 + if PostgresCheckpointerManager._instance is not None: + PostgresCheckpointerManager._instance = None + # 退出上下文管理器，正确关闭数据库连接 + if PostgresCheckpointerManager._context_manger is not None: + await PostgresCheckpointerManager._context_manger.__aexit__(None, None, None) + PostgresCheckpointerManager._context_manger = None + + # 清理掉测试连接的图 + PostgresCheckpointerManager._graph = None + return + + @staticmethod + async def is_connection_alive() -> bool: + """检查数据库连接是否仍然存活""" + if PostgresCheckpointerManager._instance is None: + return False + + # 检测间隔小于60秒，直接返回True + if time.time() - PostgresCheckpointerManager._last_check_time < 60: + return True + + try: + print("\n\nCheck Postgres connection...\n\n") + await PostgresCheckpointerManager._graph.aget_state(config={"configurable": {"thread_id": "@@TestAsyncPostgresSaverConnectionIsKeepAlive"}}) + PostgresCheckpointerManager._last_check_time = time.time() + return True + except Exception as e: + print(f"Postgres connection check failed: {e}") + return False + + +# 定义依赖注入类型，用于FastAPI自动注入AsyncPostgresSaver实例 +AsyncPostgresSaverDep = Annotated[AsyncPostgresSaver, Depends(PostgresCheckpointerManager.get_instance)] + + +async def check_postgres_connection(): + """ + 用于启动服务的时候检查Postgres数据库连接是否正常 + """ + try: + print("Connecting Postgres...") + # 尝试获取数据库连接实例 + await PostgresCheckpointerManager.get_instance() + # 连接成功，打印成功信息 + print("✅ Postgres connection successful：", POSTGRES_DATABASE_URL) + except Exception as e: + # 打印连接失败信息及错误详情 + print(f"❌ Postgres connection failed: {e}") + # 重新抛出异常，让上层处理 + raise e + + +async def close_postgres_connection(): + await PostgresCheckpointerManager.close_instance() + + +# 在Windows平台上设置事件循环策略为WindowsSelectorEventLoopPolicy +if sys.platform == "win32": + from asyncio import WindowsSelectorEventLoopPolicy + + asyncio.set_event_loop_policy(WindowsSelectorEventLoopPolicy()) + + +def create_test_graph(checkpointer: AsyncPostgresSaver): + class StateSchema(TypedDict): + input: str + + builder = StateGraph(StateSchema) + + def node(state: StateSchema): + return {} + + builder.add_node(node) + builder.set_entry_point("node") + builder.set_finish_point("node") + + return builder.compile(checkpointer=checkpointer) diff --git a/packages/README.md b/packages/README.md new file mode 100644 index 0000000..e69de29 diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..c86b44d --- /dev/null +++ b/poetry.lock @@ -0,0 +1,2688 @@ +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. + +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +groups = ["main", "dev"] +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = 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