Tobias
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178 lines
3.7 KiB
Python
178 lines
3.7 KiB
Python
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"""
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OpenAPI access via http://localhost:5000/openapi/ on local docker-compose deployment
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"""
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#------std lib modules:-------
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import os, sys, json, time
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import os.path
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from typing import Any, Tuple, List, Dict, Any, Callable, Optional
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from datetime import datetime, date
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import logging
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from functools import wraps
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#-------ext libs--------------
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from elasticsearch_dsl import connections
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from pydantic import BaseModel, Field
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import jwt as pyjwt
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import asyncio
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#----------home grown--------------
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from lib.funcs import group_by
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from lib.elastictools import get_by_id, wait_for_elasticsearch
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from lib.models import init_indicies, Chatbot, User, Text
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from lib.chatbot import ask_bot, ask_bot2, train_text, download_llm
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from lib.speech import text_to_speech
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from lib.mail import send_mail
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from lib.user import hash_password, create_user, create_default_users
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.responses import HTMLResponse
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from chainlit.utils import mount_chainlit
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from jinja2 import Environment, FileSystemLoader
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BOT_ROOT_PATH = os.getenv("BOT_ROOT_PATH")
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assert BOT_ROOT_PATH
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ollama_url = os.getenv("OLLAMA_URI")
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assert ollama_url
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elastic_url = os.getenv("ELASTIC_URI")
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assert elastic_url
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jwt_secret = os.getenv("SECRET")
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assert jwt_secret
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app = FastAPI()
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#app.mount("/static", StaticFiles(directory="static"), name="static")
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app.mount("/", StaticFiles(directory="public"), name="public")
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mount_chainlit(app=app, target="my_cl_app.py", path="/chainlit")
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#@app.get("/")
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#async def root():
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# return HTMLResponse(html)
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@app.websocket("/ws")
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async def websocket_endpoint(websocket: WebSocket):
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await websocket.accept()
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while True:
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data = await websocket.receive_text()
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await websocket.send_text(f"Message text was: {data}")
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@app.sio.on('connect')
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async def sockcon(sid, data):
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"""
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put every connection into it's own room
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to avoid broadcasting messages
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answer in callback only to room with sid
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"""
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room = request.sid + request.remote_addr
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join_room(room)
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await app.sio.emit('backend response', {'msg': f'Connected to room {room} !', "room": room}) # looks like iOS needs an answer
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@app.sio.on('client message')
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async def handle_message(sid, message):
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#try:
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room = message["room"]
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question = message["question"]
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system_prompt = message["system_prompt"]
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bot_id = message["bot_id"]
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start = datetime.now().timestamp()
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d = ask_bot2(system_prompt + " " + question, bot_id)
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def get_scores(*args):
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score_docs = d["get_score_docs"]()
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return score_docs
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def do_streaming(*args):
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start_stream = datetime.now().timestamp()
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for chunk in d["answer_generator"]():
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socket.emit('backend token', {'data': chunk, "done": False}, to=room)
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stream_duration = round(datetime.now().timestamp() - start_stream, 2)
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print("Stream duration: ", stream_duration, flush=True)
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[score_docs, _] = await asyncio.gather(
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asyncio.to_thread(get_scores, 1,2,3),
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asyncio.to_thread(do_streaming, 1,2,3)
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)
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await app.sio.emit.emit('backend token', {
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'done': True,
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"score_docs": score_docs
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}, to=room)
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duration = round(datetime.now().timestamp() - start, 2)
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print("Total duration: ", duration, flush=True)
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#@app.sio.on('join')
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#async def handle_join(sid, *args, **kwargs):
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# await app.sio.emit('lobby', 'User joined')
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#@sm.on('leave')
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#async def handle_leave(sid, *args, **kwargs):
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# await sm.emit('lobby', 'User left')
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class JobSearch(BaseModel):
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location: str
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language: str
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@app.post("/search")
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def job_search(js: JobSearch):
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#https://berlinstartupjobs.com/?s=python&page=3
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location = "Berlin"
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radius = 50
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