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Update app.py
Browse files
app.py
CHANGED
@@ -1,196 +1,265 @@
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import os
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import shutil
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from fastapi import FastAPI, Request
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from fastapi.responses import JSONResponse
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from sentence_transformers import SentenceTransformer, util
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import torch
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import requests
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# Rate
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from slowapi import Limiter, _rate_limit_exceeded_handler
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from slowapi.util import get_remote_address
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from slowapi.errors import RateLimitExceeded
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#
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limiter = Limiter(key_func=get_remote_address)
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app = FastAPI()
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app.state.limiter = limiter
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app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
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#
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HF_CACHE =
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os.environ["TRANSFORMERS_CACHE"] = HF_CACHE
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os.environ["HF_HOME"] = HF_CACHE
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if os.path.exists(
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os.remove(
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model
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#
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headers = {
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"apikey": SUPABASE_KEY,
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"Authorization": f"Bearer {SUPABASE_KEY}",
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"Content-Type": "application/json"
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}
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try:
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return []
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#
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@app.post("/predict")
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@limiter.limit(
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async def predict(request: Request):
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if not admin_id or not question:
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#
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faqs = get_faq_from_supabase(admin_id)
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if not faqs:
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return {"data": ["Maaf, belum ada FAQ yang tersedia."]}
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#
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questions = [f["question"] for f in faqs]
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answers = [f["answer"] for f in faqs]
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try:
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query_embedding = model.encode(question, convert_to_tensor=True)
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best_idx = torch.argmax(similarity).item()
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#
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if
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return {"data": ["Maaf, saya tidak mengerti pertanyaan Anda."]}
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return {"data": [answers[best_idx]]}
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except Exception as e:
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# Save chat
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@app.post("/save_chat")
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async def save_chat(
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admin_id = body.get("admin_id")
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session_id = body.get("session_id")
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is_bot = body.get("is_bot", False)
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is_admin = body.get("is_admin", False)
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message = body.get("message")
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if not all([admin_id, session_id, message]):
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return JSONResponse({"error": "Data tidak lengkap"}, status_code=400)
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url = f"{SUPABASE_URL}/rest/v1/chat_logs"
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headers = {
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"apikey": SUPABASE_KEY,
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"Authorization": f"Bearer {SUPABASE_KEY}",
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"Content-Type": "application/json",
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"Prefer": "return=representation"
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}
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payload = {
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"admin_id": admin_id,
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"session_id": session_id,
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"is_bot": is_bot,
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"is_admin": is_admin,
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"message": message
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}
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try:
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except Exception as e:
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# Chat history
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@app.get("/chat_history")
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async def get_chat_history(
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"""
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url = f"{SUPABASE_URL}/rest/v1/chat_logs"
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params = {
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"admin_id": f"eq.{admin_id}",
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"or": f"(session_id.eq.{session_id},is_bot.eq.true)",
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"order": "created_at.asc"
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}
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headers = {
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"apikey": SUPABASE_KEY,
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"Authorization": f"Bearer {SUPABASE_KEY}"
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}
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try:
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except Exception as e:
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@app.post("/delete_chat")
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async def delete_chat(request: Request):
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body = await request.json()
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message_id = body.get("id")
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if not message_id:
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return JSONResponse({"error": "ID pesan wajib diisi."}, status_code=400)
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try:
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except Exception as e:
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# 🧼 Hapus semua pesan milik user tertentu
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@app.post("/delete_all_by_uid")
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async def delete_all_by_uid(request:
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url = f"{SUPABASE_URL}/rest/v1/chat_logs?uid=eq.{uid}"
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headers = {
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"apikey": SUPABASE_KEY,
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"Authorization": f"Bearer {SUPABASE_KEY}",
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"Content-Type": "application/json",
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"Prefer": "return=representation"
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}
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try:
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except Exception as e:
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import os
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import shutil
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from fastapi import FastAPI, Request, HTTPException, Depends
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from fastapi.responses import JSONResponse
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from fastapi.middleware.cors import CORSMiddleware
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from sentence_transformers import SentenceTransformer, util
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import torch
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import requests
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from typing import List, Dict, Optional
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from pydantic import BaseModel
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# Rate limiting
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from slowapi import Limiter, _rate_limit_exceeded_handler
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from slowapi.util import get_remote_address
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from slowapi.errors import RateLimitExceeded
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# Configuration
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class Config:
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SUPABASE_URL = "https://olbjfxlclotxtnpjvpfj.supabase.co"
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SUPABASE_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Im9sYmpmeGxjbG90eHRucGp2cGZqIiwicm9sZSI6ImFub24iLCJpYXQiOjE3NTIyMzYwMDEsImV4cCI6MjA2NzgxMjAwMX0.7q_o5DCFEAAysnWXMChH4MI5qNhIVc4OgpT5JvgYxc0"
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MODEL_NAME = "sentence-transformers/paraphrase-MiniLM-L3-v2"
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SIMILARITY_THRESHOLD = 0.7
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HF_CACHE = "/tmp/hf"
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RATE_LIMIT = "10/minute"
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# Initialize FastAPI
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app = FastAPI(title="Biruu Chatbot API", version="1.0.0")
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# CORS Middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Rate Limiter
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limiter = Limiter(key_func=get_remote_address)
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app.state.limiter = limiter
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app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
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# Setup Hugging Face cache
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os.makedirs(Config.HF_CACHE, exist_ok=True)
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os.environ["TRANSFORMERS_CACHE"] = Config.HF_CACHE
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os.environ["HF_HOME"] = Config.HF_CACHE
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# Clean up locked cache
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lock_file = f"{Config.HF_CACHE}/models--{Config.MODEL_NAME.replace('/', '--')}.lock"
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if os.path.exists(lock_file):
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os.remove(lock_file)
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model_cache = f"{Config.HF_CACHE}/models--{Config.MODEL_NAME.replace('/', '--')}"
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if os.path.exists(model_cache):
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shutil.rmtree(model_cache, ignore_errors=True)
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# Initialize model
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try:
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model = SentenceTransformer(Config.MODEL_NAME)
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except Exception as e:
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raise RuntimeError(f"Failed to load model: {str(e)}")
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# Pydantic Models
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class ChatMessage(BaseModel):
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admin_id: str
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session_id: str
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is_bot: bool
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is_admin: bool
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message: str
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class DeleteRequest(BaseModel):
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id: Optional[str] = None
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uid: Optional[str] = None
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# Helper Functions
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def make_supabase_request(
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method: str,
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endpoint: str,
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params: Optional[Dict] = None,
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data: Optional[Dict] = None
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) -> requests.Response:
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"""Generic function to make Supabase API requests"""
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url = f"{Config.SUPABASE_URL}{endpoint}"
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headers = {
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"apikey": Config.SUPABASE_KEY,
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"Authorization": f"Bearer {Config.SUPABASE_KEY}",
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"Content-Type": "application/json"
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}
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try:
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if method == "GET":
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response = requests.get(url, headers=headers, params=params)
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elif method == "POST":
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response = requests.post(url, headers=headers, json=data)
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elif method == "DELETE":
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response = requests.delete(url, headers=headers)
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else:
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raise ValueError("Unsupported HTTP method")
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response.raise_for_status()
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return response
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except requests.exceptions.RequestException as e:
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raise HTTPException(
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status_code=500,
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detail=f"Supabase request failed: {str(e)}"
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)
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def get_faq_from_supabase(admin_id: str) -> List[Dict]:
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"""Get FAQ items for a specific admin"""
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try:
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response = make_supabase_request(
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"GET",
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"/rest/v1/faq_items",
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params={"admin_id": f"eq.{admin_id}"}
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)
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return response.json()
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except HTTPException:
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return []
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# API Endpoints
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@app.post("/predict")
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@limiter.limit(Config.RATE_LIMIT)
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async def predict(request: Request, data: List[str] = ["", ""]):
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"""Get answer for user question"""
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if len(data) != 2:
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raise HTTPException(
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status_code=400,
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detail="Invalid input format. Expected [admin_id, question]"
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)
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admin_id, question = data
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if not admin_id or not question:
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raise HTTPException(
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status_code=400,
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detail="Admin ID and question are required"
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)
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# Get FAQs for this admin
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faqs = get_faq_from_supabase(admin_id)
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if not faqs:
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return {"data": ["Maaf, belum ada FAQ yang tersedia untuk chatbot ini."]}
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# Process question
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questions = [f["question"] for f in faqs]
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answers = [f["answer"] for f in faqs]
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try:
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# Encode questions and user input
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question_embeddings = model.encode(questions, convert_to_tensor=True)
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query_embedding = model.encode(question, convert_to_tensor=True)
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# Calculate similarity
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similarity = util.pytorch_cos_sim(query_embedding, question_embeddings)
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best_idx = torch.argmax(similarity).item()
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best_score = similarity[0][best_idx].item()
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# Apply threshold
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if best_score < Config.SIMILARITY_THRESHOLD:
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return {"data": ["Maaf, saya tidak mengerti pertanyaan Anda. Coba tanyakan dengan cara lain."]}
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return {"data": [answers[best_idx]]}
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=f"Error processing question: {str(e)}"
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)
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@app.post("/save_chat")
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async def save_chat(chat: ChatMessage):
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"""Save chat message to database"""
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try:
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response = make_supabase_request(
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"POST",
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"/rest/v1/chat_logs",
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data={
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"admin_id": chat.admin_id,
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"session_id": chat.session_id,
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"is_bot": chat.is_bot,
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"is_admin": chat.is_admin,
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"message": chat.message
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}
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)
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saved_data = response.json()[0]
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return {
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"message": "Pesan berhasil disimpan",
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"id": saved_data["id"]
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}
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except HTTPException as e:
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raise e
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=f"Failed to save chat: {str(e)}"
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)
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@app.get("/chat_history")
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async def get_chat_history(admin_id: str, session_id: str):
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"""Get chat history for specific session"""
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try:
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response = make_supabase_request(
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"GET",
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"/rest/v1/chat_logs",
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params={
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"admin_id": f"eq.{admin_id}",
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"or": f"(session_id.eq.{session_id},is_bot.eq.true)",
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"order": "created_at.asc"
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}
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)
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return response.json()
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except HTTPException as e:
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raise e
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except Exception as e:
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raise HTTPException(
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status_code=500,
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213 |
+
detail=f"Failed to get chat history: {str(e)}"
|
214 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
215 |
|
216 |
+
@app.post("/delete_chat")
|
217 |
+
async def delete_chat(request: DeleteRequest):
|
218 |
+
"""Delete specific chat message"""
|
219 |
+
if not request.id:
|
220 |
+
raise HTTPException(
|
221 |
+
status_code=400,
|
222 |
+
detail="Message ID is required"
|
223 |
+
)
|
224 |
|
225 |
try:
|
226 |
+
make_supabase_request(
|
227 |
+
"DELETE",
|
228 |
+
f"/rest/v1/chat_logs?id=eq.{request.id}"
|
229 |
+
)
|
230 |
+
return {"message": f"Pesan dengan ID {request.id} berhasil dihapus."}
|
231 |
+
except HTTPException as e:
|
232 |
+
raise e
|
233 |
except Exception as e:
|
234 |
+
raise HTTPException(
|
235 |
+
status_code=500,
|
236 |
+
detail=f"Failed to delete message: {str(e)}"
|
237 |
+
)
|
238 |
|
|
|
239 |
@app.post("/delete_all_by_uid")
|
240 |
+
async def delete_all_by_uid(request: DeleteRequest):
|
241 |
+
"""Delete all messages for specific user"""
|
242 |
+
if not request.uid:
|
243 |
+
raise HTTPException(
|
244 |
+
status_code=400,
|
245 |
+
detail="UID is required"
|
246 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
247 |
|
248 |
try:
|
249 |
+
make_supabase_request(
|
250 |
+
"DELETE",
|
251 |
+
f"/rest/v1/chat_logs?admin_id=eq.{request.uid}"
|
252 |
+
)
|
253 |
+
return {"message": f"Semua pesan untuk UID {request.uid} berhasil dihapus."}
|
254 |
+
except HTTPException as e:
|
255 |
+
raise e
|
256 |
except Exception as e:
|
257 |
+
raise HTTPException(
|
258 |
+
status_code=500,
|
259 |
+
detail=f"Failed to delete messages: {str(e)}"
|
260 |
+
)
|
261 |
+
|
262 |
+
@app.get("/health")
|
263 |
+
async def health_check():
|
264 |
+
"""Health check endpoint"""
|
265 |
+
return {"status": "healthy", "version": "1.0.0"}
|