main #17
137
src/node.py
137
src/node.py
@ -1,7 +1,10 @@
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from fastapi import FastAPI
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from fastapi import FastAPI,Request
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import requests
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import requests
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from contextlib import asynccontextmanager
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from contextlib import asynccontextmanager
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import socket
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import socket
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import asyncio
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from pydantic import BaseModel
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from tpre import *
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@asynccontextmanager
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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async def lifespan(app: FastAPI):
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@ -12,18 +15,23 @@ async def lifespan(app: FastAPI):
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clear()
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clear()
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app = FastAPI(lifespan=lifespan)
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app = FastAPI(lifespan=lifespan)
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server_address ="http://中心服务器IP地址:端口号/ip"
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server_address ="http://中心服务器IP地址/server"
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id = 0
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id = 0
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ip = ''
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client_ip_src = '' # 发送信息用户的ip
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client_ip_des = '' # 接收信息用户的ip
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processed_message = () # 重加密后的数据
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# class C(BaseModel):
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# Tuple: Tuple[capsule, int]
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# ip_src: str
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# 向中心服务器发送自己的IP地址,并获取自己的id
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# 向中心服务器发送自己的IP地址,并获取自己的id
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def send_ip(ip: str):
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def send_ip():
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url = server_address
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url = server_address + '/get_node?ip = ' + ip
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# ip = get_local_ip # type: ignore
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# ip = get_local_ip # type: ignore
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data = {"ip": ip}
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global id
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response = requests.post(url, data=data)
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id = requests.get(url)
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data = response.json()
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id = data['id']
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return id
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# 用socket获取本机ip
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# 用socket获取本机ip
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def get_local_ip():
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def get_local_ip():
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@ -34,86 +42,61 @@ def get_local_ip():
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# 获取本地IP地址
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# 获取本地IP地址
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local_ip = s.getsockname()[0]
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local_ip = s.getsockname()[0]
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s.close()
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s.close()
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return local_ip
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global ip
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ip = local_ip
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id = int
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def init():
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def init():
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ip = get_local_ip()
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get_local_ip()
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global id
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global id
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id = send_ip(ip)
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send_ip()
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task = asyncio.create_task(send_heartbeat_internal())
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def clear():
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def clear():
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pass
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pass
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@app.post("/heartbeat/")
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async def receive_heartbeat():
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return {"status": "received"}
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# 接收用户发来的消息,经过处理之后,再将消息发送给其他用户
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# 接收用户发来的消息,经过处理之后,再将消息发送给其他用户
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@app.post("/send_message")
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async def send_message(message: str):
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# 处理消息
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processed_message = message.upper()
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# 发送消息给其他用户
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url = "http://其他用户IP地址:端口号/receive_message"
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data = {"message": processed_message}
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response = requests.post(url, data=data)
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return response.json()
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async def send_heartbeat_internal() -> None:
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import requests
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def send_heartbeat(url: str) -> bool:
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try:
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response = requests.get(url, timeout=5) # 使用 GET 方法作为心跳请求
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response.raise_for_status() # 检查响应是否为 200 OK
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# 可选:根据响应内容进行进一步验证
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# if response.json() != expected_response:
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# return False
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return True
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except requests.RequestException:
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return False
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# 使用方式
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url = "https://your-service-url.com/heartbeat"
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if send_heartbeat(url):
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print("Service is alive!")
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else:
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print("Service might be down or unreachable.")
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import asyncio
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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async def receive_heartbeat_internal() -> int:
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while True:
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while True:
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print('successful delete1')
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# print('successful send my_heart')
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timeout = 10
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global ip
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url = server_address + '/get_node?ip = ' + ip
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folderol = requests.get(url)
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timeout = 30
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# 删除超时的节点(假设你有一个异步的数据库操作函数)
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# 删除超时的节点(假设你有一个异步的数据库操作函数)
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await async_cursor_execute("DELETE FROM nodes WHERE last_heartbeat < ?", (time.time() - timeout,))
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await async_conn_commit()
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print('successful delete')
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await asyncio.sleep(timeout)
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await asyncio.sleep(timeout)
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return 1
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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task = asyncio.create_task(receive_heartbeat_internal())
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yield
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task.cancel() # 取消我们之前创建的任务
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await clean_env() # 假设这是一个异步函数
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# 其他FastAPI应用的代码...
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@app.post("/user_src") # 接收用户1发送的信息
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async def receive_user_src_message(message: Request):
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json_data = await message.json()
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global client_ip_src,client_ip_des
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# kfrag , capsule_ct ,client_ip_src , client_ip_des = json_data[] # 看梁俊勇
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global processed_message
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processed_message = ReEncrypt(kfrag, capsule_ct)
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def send_user_des_message(): # 发送消息给用户2
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global processed_message,client_ip_src,client_ip_des
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data = {
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"Tuple": processed_message, # 类型不匹配
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"ip": client_ip_src
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}
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# 发送 HTTP POST 请求
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response = requests.post("http://"+ client_ip_des + "/receive_messages", json=data)
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print(response)
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if __name__ == "__main__":
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import uvicorn # pylint: disable=e0401
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uvicorn.run("node:app", host="0.0.0.0", port=8000, reload=True)
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