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import traceback
import uuid
from datetime import datetime
import fastapi
import httpx
import time
from fastapi import FastAPI, BackgroundTasks, Request
from starlette.responses import StreamingResponse, Response
app = FastAPI()
token = ''
async def make_request_to_139_ai_streaming_chat(user_message):
url = "https://ai.yun.139.com/api/outer/assistant/chat/add"
# 设置请求头
headers = {
"sec-ch-ua-platform": "\"Windows\"",
"authorization": f"Basic {token}",
"x-yun-client-info": "4g||30|||||||1685/948|zh-CN||||",
"sec-ch-ua": "\"Microsoft Edge\";v=\"135\", \"Not-A.Brand\";v=\"8\", \"Chromium\";v=\"135\"",
"sec-ch-ua-mobile": "?0",
"x-yun-api-version": "v2",
"x-yun-app-channel": "10175",
"accept": "text/event-stream",
"dnt": "1",
"content-type": "application/json",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36 Edg/135.0.0.0",
"origin": "https://appmail.mail.10086.cn",
"sec-fetch-site": "cross-site",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
"referer": "https://appmail.mail.10086.cn/",
"accept-language": "zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7,en-GB;q=0.6",
"priority": "u=1, i"
}
# 设置请求体
payload = {
"applicationId": "3000000002",
"applicationType": "intelligent",
"sessionId": "",
"content": {
"dialogue": user_message,
"prompt": "",
"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"commands": "000",
"resourceType": "0",
"resourceId": "",
"dialogueType": "0",
"sourceChannel": "10175",
"commandType": "2",
"extInfo": "{\"h5Version\":\"1.5.1\"}"
}
}
# 使用异步客户端发送请求
async with httpx.AsyncClient() as client:
async with client.stream(
"POST",
url,
headers=headers,
json=payload,
timeout=30.0 # 设置超时时间
) as response:
response.raise_for_status() # 检查响应状态码
response_id = f"chatcmpl-{str(uuid.uuid4())}"
async for line in response.aiter_lines():
# print(line)
if line.startswith('data:'):
data_json = json.loads(line[5:].strip())
if 'data' in data_json and 'flowResult' in data_json['data'] and 'outContent' in data_json['data']['flowResult']:
delta_text = data_json['data']['flowResult']['outContent']
# line += delta_text
chunk = {
"id": response_id,
"object": "chat.completion.chunk",
"created": int(time.time()),
"model": "DeepSeek-R1",
"choices": [
{
"index": 0,
"delta": {
"content": delta_text
},
"finish_reason": None
}
]
}
yield f"data: {json.dumps(chunk)}\n\n"
final_chunk = {
"id": response_id,
"object": "chat.completion.chunk",
"created": int(time.time()),
"model": "DeepSeek-R1",
"choices": [
{
"index": 0,
"delta": {},
"finish_reason": "stop"
}
]
}
yield f"data: {json.dumps(final_chunk)}\n\n"
yield "data: [DONE]\n\n"
async def make_request_to_139_ai_non_streaming_chat(user_message):
"""
向139 AI发送异步请求
"""
url = "https://ai.yun.139.com/api/outer/assistant/chat/add"
# 设置请求头
headers = {
"sec-ch-ua-platform": "\"Windows\"",
"authorization": f"Basic {token}",
"x-yun-client-info": "4g||30|||||||1685/948|zh-CN||||",
"sec-ch-ua": "\"Microsoft Edge\";v=\"135\", \"Not-A.Brand\";v=\"8\", \"Chromium\";v=\"135\"",
"sec-ch-ua-mobile": "?0",
"x-yun-api-version": "v2",
"x-yun-app-channel": "10175",
"dnt": "1",
"content-type": "application/json",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36 Edg/135.0.0.0",
"origin": "https://appmail.mail.10086.cn",
"sec-fetch-site": "cross-site",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
"referer": "https://appmail.mail.10086.cn/",
"accept-language": "zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7,en-GB;q=0.6",
"priority": "u=1, i"
}
# 设置请求体
payload = {
"applicationId": "3000000002",
"applicationType": "intelligent",
"sessionId": "",
"content": {
"dialogue": user_message,
"prompt": "",
"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"commands": "000",
"resourceType": "0",
"resourceId": "",
"dialogueType": "0",
"sourceChannel": "10175",
"commandType": "2",
"extInfo": "{\"h5Version\":\"1.5.1\"}"
}
}
async with httpx.AsyncClient() as client:
async with client.stream(
"POST",
url,
headers=headers,
json=payload,
timeout=30.0 # 设置超时时间
) as response:
response.raise_for_status() # 检查响应状态码
reasoning_content = ""
full_content = ""
async for line in response.aiter_lines():
# print(line)
if line.startswith('data:'):
data_json = json.loads(line[5:].strip())
if 'data' in data_json and 'flowResult' in data_json['data'] and 'outContent' in data_json['data']['flowResult']:
delta_text = data_json['data']['flowResult']['outContent']
full_content += delta_text
response_data = {
"id": f"chatcmpl-{str(uuid.uuid4())}",
"object": "chat.completion",
"created": int(time.time()),
"model": data_json.get('modelType', 'DeepSeek-R1'),
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": full_content},
"finish_reason": "stop"
}
],
"usage":
{
"prompt_tokens": len(user_message),
"completion_tokens": len(full_content),
"total_tokens": len(user_message) + len(full_content)
}
}
return response_data
@app.post("/v1/chat/completions")
async def chat_endpoint(request: Request, background_tasks: BackgroundTasks):
"""
API 端点，用于发送聊天请求到139 AI
"""
try:
auth_header = request.headers.get('Authorization', '')
if auth_header.startswith('Bearer '):
global token
token = auth_header[7:]
else:
raise fastapi.HTTPException(status_code=401, detail="Authorization header must be a Bearer token")
user_message = ""
request_body = await request.json()
for msg in reversed(request_body.get('messages', [])):
if msg.get('role') == 'user':
user_message = msg.get('content', '')
break
if not user_message:
raise fastapi.HTTPException(status_code=400, detail="No user message found")
print(f"user input: {user_message}")
if request_body.get('stream'):
return StreamingResponse(
content=make_request_to_139_ai_streaming_chat(user_message),
media_type="text/event-stream",
# media_type="text/plain",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"Transfer-Encoding": "chunked"
}
)
else:
# 非流式
response_data = await make_request_to_139_ai_non_streaming_chat(user_message)
return Response(
content=json.dumps(response_data),
media_type="application/json",
status_code=200,
# headers=response_headers
)
except Exception as e:
traceback.print_exc()
return {"status": "error", "message": str(e)}
@app.get('/v1/models')
async def list_models():
models = {
"object": "list",
"data": [
{
"id": "DeepSeek-R1",
"object": "model",
"created": int(time.time()),
"owned_by": "139.com"
}
]
}
return models
if __name__ == "__main__":
# 或者使用 uvicorn 启动 FastAPI 应用
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)
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