import uvicorn
import os

from typing import Annotated
from fastapi import (
    Depends,
    FastAPI,
    WebSocket,
    WebSocketException,
    WebSocketDisconnect,
    status,
)
from langchain.agents import create_structured_chat_agent, AgentExecutor
from langchain_community.utilities import SerpAPIWrapper

from langchain_core.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
from langchain_core.tools import tool
from langchain_openai import ChatOpenAI

os.environ["OPENAI_API_KEY"] = 'sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'    #你的Open AI Key
os.environ["SERPAPI_API_KEY"] = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"


class ConnectionManager:
    def __init__(self):
        self.active_connections: list[WebSocket] = []

    async def connect(self, websocket: WebSocket):
        await websocket.accept()
        self.active_connections.append(websocket)

    def disconnect(self, websocket: WebSocket):
        self.active_connections.remove(websocket)

    async def send_personal_message(self, message: str, websocket: WebSocket):
        await websocket.send_text(message)

    async def broadcast(self, message: str):
        for connection in self.active_connections:
            await connection.send_text(message)

manager = ConnectionManager()

app = FastAPI()

async def authenticate(
    websocket: WebSocket,
    userid: str,
    secret: str,
):
    if userid is None or secret is None:
        raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)

    print(f'userid: {userid},secret: {secret}')
    if '12345' == userid and 'xxxxxxxxxxxxxxxxxxxxxxxxxx' == secret:
        return 'pass'
    else:
        return 'fail'

@tool
def search(query:str):
    """只有需要了解实时信息或不知道的事情的时候才会使用这个工具，需要传入要搜索的内容。"""
    serp = SerpAPIWrapper()
    result = serp.run(query)
    print("实时搜索结果:", result)
    return result


def get_prompt():
    template='''
    Respond to the human as helpfully and accurately as possible. You have access to the following tools:
    
    {tools}
    
    Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).
    
    Valid "action" values: "Final Answer" or {tool_names}
    
    Provide only ONE action per $JSON_BLOB, as shown:
    
    ```
    
    {{
    
      "action": $TOOL_NAME,
    
      "action_input": $INPUT
    
    }}
    
    ```
    
    Follow this format:
    
    Question: input question to answer
    
    Thought: consider previous and subsequent steps
    
    Action:
    
    ```
    
    $JSON_BLOB
    
    ```
    
    Observation: action result
    
    ... (repeat Thought/Action/Observation N times)
    
    Thought: I know what to respond
    
    Action:
    
    ```
    
    {{
    
      "action": "Final Answer",
    
      "action_input": "Final response to human"
    
    }}
    
    Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation
    '''
    system_message_prompt = SystemMessagePromptTemplate.from_template(template)
    human_template='''
    {input}
    
    {agent_scratchpad}
    
     (reminder to respond in a JSON blob no matter what)
    '''
    human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
    prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])

    return prompt

async def chat(query):
    global llm,tools
    agent = create_structured_chat_agent(
        llm, tools, get_prompt()
    )

    agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True, handle_parsing_errors=True)

    result = agent_executor.invoke({"input": query})
    print(result['output'])
    yield result['output']

@app.websocket("/ws")
async def websocket_endpoint(*,websocket: WebSocket,userid: str,permission: Annotated[str, Depends(authenticate)],):
    await manager.connect(websocket)
    try:
        while True:
            text = await websocket.receive_text()

            if 'fail' == permission:
                await manager.send_personal_message(
                    f"authentication failed", websocket
                )
            else:
                if text is not None and len(text) > 0:
                    async for msg in chat(text):
                        await manager.send_personal_message(msg, websocket)

    except WebSocketDisconnect:
        manager.disconnect(websocket)
        print(f"Client #{userid} left the chat")
        await manager.broadcast(f"Client #{userid} left the chat")

if __name__ == '__main__':
    tools = [search]
    llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0, max_tokens=512)
    uvicorn.run(app, host='0.0.0.0',port=7777)

<!DOCTYPE html>
<html>
    <head>
        <title>Chat</title>
    </head>
    <body>
        <h1>WebSocket Chat</h1>
        <form action="" onsubmit="sendMessage(event)">
            <label>USERID: <input type="text" id="userid" autocomplete="off" value="12345"/></label>
            <label>SECRET: <input type="text" id="secret" autocomplete="off" value="xxxxxxxxxxxxxxxxxxxxxxxxxx"/></label>
            <br/>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>
        <ul id='messages'>
        </ul>
        <script>
            var ws = null;
            function connect(event) {
                var userid = document.getElementById("userid")
                var secret = document.getElementById("secret")
                ws = new WebSocket("ws://localhost:7777/ws?userid="+userid.value+"&secret=" + secret.value);
                ws.onmessage = function(event) {
                    var messages = document.getElementById('messages')
                    var message = document.createElement('li')
                    var content = document.createTextNode(event.data)
                    message.appendChild(content)
                    messages.appendChild(message)
                };
                event.preventDefault()
            }
            function sendMessage(event) {
                var input = document.getElementById("messageText")
                ws.send(input.value)
                input.value = ''
                event.preventDefault()
            }
        </script>
    </body>
</html>