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Update app.py
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app.py
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@@ -1,10 +1,12 @@
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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 sentence_transformers import SentenceTransformer, util
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import torch
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import requests
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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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@@ -15,34 +17,26 @@ 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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# ๐ Paksa
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HF_CACHE = "/tmp/hf"
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os.environ["TRANSFORMERS_CACHE"] = HF_CACHE
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os.environ["HF_HOME"] = HF_CACHE
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os.makedirs(HF_CACHE, exist_ok=True)
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#
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if os.path.exists(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2.lock"):
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os.remove(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2.lock")
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if os.path.exists(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2"):
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shutil.rmtree(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2", ignore_errors=True)
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#
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SUPABASE_URL = "https://olbjfxlclotxtnpjvpfj.supabase.co"
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SUPABASE_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Im9sYmpmeGxjbG90eHRucGp2cGZqIiwicm9sZSI6ImFub24iLCJpYXQiOjE3NTIyMzYwMDEsImV4cCI6MjA2NzgxMjAwMX0.7q_o5DCFEAAysnWXMChH4MI5qNhIVc4OgpT5JvgYxc0"
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# Inisialisasi rate limiter dan FastAPI
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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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# ๐ Gunakan model kecil dan cepat
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model = SentenceTransformer("sentence-transformers/paraphrase-MiniLM-L3-v2")
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def get_faq_from_supabase(uid):
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url = f"{SUPABASE_URL}/rest/v1/faq_texts?uid=eq.{uid}"
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headers = {
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@@ -59,15 +53,16 @@ def get_faq_from_supabase(uid):
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print("โ Supabase error:", e)
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return []
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@app.post("/predict")
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@limiter.limit("5/minute")
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async def predict(request: Request):
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body = await request.json()
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uid, question = body.get("data", [None, None])
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if not uid or not question:
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return {"data": ["UID atau pertanyaan tidak valid."]}
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faqs = get_faq_from_supabase(uid)
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if not faqs:
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return {"data": ["FAQ tidak ditemukan untuk UID ini."]}
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@@ -81,4 +76,53 @@ async def predict(request: Request):
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similarity = util.pytorch_cos_sim(query_embedding, embeddings)
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best_idx = torch.argmax(similarity).item()
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return {"data": [answers[best_idx]]}
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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 limit
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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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app.state.limiter = limiter
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app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
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# ๐ Paksa cache aman untuk Hugging Face Spaces
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HF_CACHE = "/tmp/hf"
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os.environ["TRANSFORMERS_CACHE"] = HF_CACHE
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os.environ["HF_HOME"] = HF_CACHE
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os.makedirs(HF_CACHE, exist_ok=True)
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# Bersihkan cache model jika terkunci
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if os.path.exists(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2.lock"):
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os.remove(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2.lock")
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if os.path.exists(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2"):
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shutil.rmtree(f"{HF_CACHE}/models--sentence-transformers--paraphrase-MiniLM-L3-v2", ignore_errors=True)
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# Supabase
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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
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model = SentenceTransformer("sentence-transformers/paraphrase-MiniLM-L3-v2")
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# ๐ Ambil FAQ berdasarkan UID
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def get_faq_from_supabase(uid):
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url = f"{SUPABASE_URL}/rest/v1/faq_texts?uid=eq.{uid}"
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headers = {
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print("โ Supabase error:", e)
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return []
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# ๐ฎ Endpoint prediksi jawaban dari pertanyaan user
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@app.post("/predict")
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@limiter.limit("5/minute")
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async def predict(request: Request):
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body = await request.json()
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uid, question = body.get("data", [None, None])
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if not uid or not question:
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return {"data": ["UID atau pertanyaan tidak valid."]}
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faqs = get_faq_from_supabase(uid)
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if not faqs:
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return {"data": ["FAQ tidak ditemukan untuk UID ini."]}
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similarity = util.pytorch_cos_sim(query_embedding, embeddings)
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best_idx = torch.argmax(similarity).item()
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return {"data": [answers[best_idx]]}
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# ๐งน Hapus satu pesan berdasarkan ID
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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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url = f"{SUPABASE_URL}/rest/v1/chat_logs?id=eq.{message_id}"
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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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r = requests.delete(url, headers=headers)
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r.raise_for_status()
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return {"message": f"Pesan dengan ID {message_id} berhasil dihapus."}
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except Exception as e:
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print("โ Gagal hapus pesan:", e)
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return JSONResponse({"error": "Gagal menghapus pesan."}, status_code=500)
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# ๐งผ 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: Request):
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body = await request.json()
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uid = body.get("uid")
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if not uid:
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return JSONResponse({"error": "UID wajib diisi."}, status_code=400)
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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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r = requests.delete(url, headers=headers)
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r.raise_for_status()
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return {"message": f"Semua pesan dengan UID {uid} berhasil dihapus."}
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except Exception as e:
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return JSONResponse({"error": str(e)}, status_code=500)
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