Update app.py
Browse files
app.py
CHANGED
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@@ -1,6 +1,6 @@
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"""
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Backend API cho HT_MATH_WEB - Chạy trên Hugging Face Spaces (Docker Version)
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-
Phiên bản: 8.
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Tác giả: Hoàng Tấn Thiên
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"""
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@@ -16,7 +16,7 @@ import uuid
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import math
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from typing import List, Optional
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from fastapi import FastAPI, File, UploadFile, HTTPException, Form, Request
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse, FileResponse
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from fastapi.staticfiles import StaticFiles
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@@ -33,7 +33,7 @@ except ImportError:
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except OSError:
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print("CRITICAL WARNING: pandoc binary not found in system path.")
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-
# --- SUPABASE ---
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try:
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from supabase import create_client, Client
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SUPABASE_AVAILABLE = True
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@@ -47,10 +47,10 @@ GEMINI_API_KEYS = os.getenv("GEMINI_API_KEYS", "").split(",")
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GEMINI_MODELS = os.getenv("GEMINI_MODELS", "gemini-2.5-flash,gemini-1.5-pro").split(",")
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SUPABASE_URL = os.getenv("SUPABASE_URL", "")
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SUPABASE_KEY = os.getenv("SUPABASE_KEY", "")
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MAX_THREADS = int(os.getenv("MAX_THREADS", "5"))
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ADMIN_SECRET_KEY = os.getenv("ADMIN_SECRET_KEY", "admin123")
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# Setup Supabase
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supabase = None
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if SUPABASE_AVAILABLE and SUPABASE_URL and SUPABASE_KEY:
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try:
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@@ -58,8 +58,10 @@ if SUPABASE_AVAILABLE and SUPABASE_URL and SUPABASE_KEY:
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except Exception as e:
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print(f"Warning: Không thể kết nối Supabase: {e}")
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-
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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@@ -68,30 +70,33 @@ app.add_middleware(
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allow_headers=["*"],
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)
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#
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os.makedirs("uploads", exist_ok=True)
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app.mount("/uploads", StaticFiles(directory="uploads"), name="uploads")
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#
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@app.on_event("startup")
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async def startup_event():
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print("\n" + "="*
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print(">> SERVER
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for route in routes:
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print(f"
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print("="*
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@app.exception_handler(404)
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async def not_found_handler(request: Request, exc):
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# Dynamic route listing for better debugging
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routes = [route.path for route in request.app.routes]
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return JSONResponse(
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status_code=404,
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content={
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"detail": f"Route not found: {request.url.path}",
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"
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"
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}
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)
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@@ -113,7 +118,7 @@ class ApiKeyManager:
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key_manager = ApiKeyManager(GEMINI_API_KEYS)
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ip_rate_limits = {}
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RATE_LIMIT_DURATION = 7
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def check_rate_limit(request: Request):
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forwarded = request.headers.get("X-Forwarded-For")
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@@ -125,142 +130,46 @@ def check_rate_limit(request: Request):
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print(f"[RateLimit] IP {client_ip} requesting too fast.")
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ip_rate_limits[client_ip] = now
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# =====
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-
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STRONG_PROMPT_LATEX = r"""Role: Chuyên viên nhập liệu Toán học chính xác cao.
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Task: Số hóa lại tài liệu trong ảnh thành Markdown/LaTeX để lưu trữ.
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-
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2. **KHÔNG TÓM TẮT**: Tuyệt đối không được tóm tắt hay làm gọn nội dung. Viết lại y hệt bản gốc.
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3. **ĐỊNH DẠNG**:
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- Công thức toán để trong $...$ hoặc $$...$$
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- Giữ nguyên số thứ tự câu (Câu 1, Bài 2...).
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- In đậm tiêu đề.
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- Cố gắng giữ nguyên ý nghĩa và các con số của bài toán.
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- Trình bày rõ ràng, dễ đọc.
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"""
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# ===== STITCHING ALGORITHM =====
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def stitch_text(text_a: str, text_b: str, min_overlap_chars: int = 20) -> str:
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if not text_a: return text_b
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if not text_b: return text_a
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-
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a_lines = text_a.splitlines()
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b_lines = text_b.splitlines()
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-
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scan_window = min(len(a_lines), len(b_lines), 30)
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best_overlap_idx = 0
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-
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for i in range(scan_window, 0, -1):
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tail_a = "\n".join(a_lines[-i:]).strip()
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head_b = "\n".join(b_lines[:i]).strip()
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if len(tail_a) >= min_overlap_chars and tail_a == head_b:
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best_overlap_idx = i
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break
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-
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if best_overlap_idx > 0:
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return text_a + "\n" + "\n".join(b_lines[best_overlap_idx:])
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else:
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return text_a + "\n\n" + text_b
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# =====
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def clean_latex_formulas(text: str) -> str:
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return re.sub(r'\$\s+(.*?)\s+\$', lambda m: f'${m.group(1).strip()}$', text)
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-
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def hash_password(password: str) -> str:
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return hashlib.sha256(password.encode()).hexdigest()
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def verify_password(password: str, hashed: str) -> bool:
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return hash_password(password) == hashed
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# ===== API ENDPOINTS =====
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@app.get("/")
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@app.get("/health")
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async def root():
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pandoc_status = "Not Found"
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try:
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pandoc_status = pypandoc.get_pandoc_version()
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except:
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pass
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return {
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"status": "ok",
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"service": "HT_MATH_WEB API v8.3 (Debug Mode)",
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"keys_loaded": key_manager.get_key_count(),
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"pandoc_version": pandoc_status
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}
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@app.get("/api/models")
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async def get_models():
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return {"models": GEMINI_MODELS}
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# --- AUTH API ---
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@app.post("/api/register")
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async def register(email: str = Form(...), password: str = Form(...)):
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if not supabase: raise HTTPException(status_code=500, detail="DB Error")
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res = supabase.table("users").select("email").eq("email", email).execute()
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if res.data: raise HTTPException(status_code=400, detail="Email tồn tại")
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user_data = {"email": email, "password": hash_password(password), "status": "pending", "created_at": time.strftime("%Y-%m-%d %H:%M:%S")}
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supabase.table("users").insert(user_data).execute()
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return {"success": True, "message": "Đăng ký thành công, chờ duyệt."}
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-
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@app.post("/api/login")
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async def login(request: Request, email: str = Form(...), password: str = Form(...)):
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if not supabase: raise HTTPException(status_code=500, detail="DB Error")
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res = supabase.table("users").select("*").eq("email", email).execute()
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if not res.data: raise HTTPException(status_code=401, detail="Sai email/pass")
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user = res.data[0]
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if not verify_password(password, user["password"]): raise HTTPException(status_code=401, detail="Sai email/pass")
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if user.get("status") != "active": raise HTTPException(status_code=403, detail="Tài khoản chưa kích hoạt")
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token = secrets.token_urlsafe(32)
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try: supabase.table("sessions").delete().eq("email", email).execute()
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except: pass
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supabase.table("sessions").insert({"email": email, "token": token, "last_seen": time.strftime("%Y-%m-%d %H:%M:%S")}).execute()
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return {"success": True, "token": token, "email": email}
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-
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@app.post("/api/check-session")
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async def check_session(email: str = Form(...), token: str = Form(...)):
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if not supabase: raise HTTPException(status_code=500, detail="DB Error")
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res = supabase.table("sessions").select("token").eq("email", email).execute()
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if not res.data or res.data[0]['token'] != token: raise HTTPException(status_code=401, detail="Session expired")
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supabase.table("sessions").update({"last_seen": time.strftime("%Y-%m-%d %H:%M:%S")}).eq("email", email).execute()
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return {"status": "valid"}
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-
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@app.post("/api/logout")
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async def logout(request: Request):
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try:
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data = await request.json()
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email = data.get("email")
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if email and supabase: supabase.table("sessions").delete().eq("email", email).execute()
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except: pass
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return {"status": "success"}
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-
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@app.post("/api/upload-image")
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async def upload_image(file: UploadFile = File(...)):
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try:
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file_ext = os.path.splitext(file.filename)[1] or ".png"
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file_name = f"{uuid.uuid4().hex}{file_ext}"
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file_path = f"uploads/{file_name}"
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with open(file_path, "wb") as f: f.write(await file.read())
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return {"url": file_path}
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except Exception as e: raise HTTPException(status_code=500, detail=str(e))
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# --- CORE CONVERT LOGIC ---
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async def process_image_with_gemini(image: Image.Image, model_id: str, prompt_mode: str, max_retries: int = 3) -> str:
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current_prompt = STRONG_PROMPT_LATEX if prompt_mode == "latex" else "Trích xuất văn bản
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-
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
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api_key = key_manager.get_next_key()
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if not api_key: raise ValueError("No API Key")
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel(model_id, generation_config=generation_config)
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print(f"[Gemini] Sending request (Attempt {attempt+1})...")
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response = model.generate_content([current_prompt, image], safety_settings=safety_settings)
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if response.candidates:
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candidate = response.candidates[0]
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if candidate.content and candidate.content.parts:
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-
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if len(text) > 10:
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return text
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finish_reason = candidate.finish_reason
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print(f"[Gemini] Blocked. Reason: {finish_reason}")
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if finish_reason == 4 and current_prompt == STRONG_PROMPT_LATEX:
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print("[Gemini]
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current_prompt = SAFE_PROMPT_LATEX
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continue
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if finish_reason == 4:
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if finish_reason == 3:
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return "\n> *[Nội dung bị ẩn do Safety Filter]*\n"
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-
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else:
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print(f"[Gemini] No candidates returned. Feedback: {response.prompt_feedback}")
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-
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except Exception as e:
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print(f"[Gemini] Error attempt {attempt}: {str(e)}")
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if "429" in str(e):
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time.sleep(2)
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continue
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return ""
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async def process_large_image(image: Image.Image, model: str, prompt_mode: str, semaphore: asyncio.Semaphore) -> str:
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CHUNK_HEIGHT = 1536
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OVERLAP_HEIGHT = 300
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-
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width, height = image.size
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if height <= CHUNK_HEIGHT:
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@@ -331,7 +227,7 @@ async def process_large_image(image: Image.Image, model: str, prompt_mode: str,
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if bottom == height: break
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y += (CHUNK_HEIGHT - OVERLAP_HEIGHT)
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print(f"[Split]
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async def process_chunk(chunk_img, index):
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async with semaphore:
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@@ -340,17 +236,90 @@ async def process_large_image(image: Image.Image, model: str, prompt_mode: str,
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tasks = [process_chunk(chunk, i) for i, chunk in enumerate(chunks)]
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chunk_results = await asyncio.gather(*tasks)
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-
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chunk_results.sort(key=lambda x: x[0])
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ordered_texts = [text for _, text in chunk_results]
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final_text = ordered_texts[0]
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for i in range(1, len(ordered_texts)):
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final_text = stitch_text(final_text, ordered_texts[i], min_overlap_chars=20)
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-
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return final_text
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async def convert_file(
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request: Request,
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file: UploadFile = File(...),
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@@ -358,15 +327,12 @@ async def convert_file(
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mode: str = Form("latex")
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):
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check_rate_limit(request)
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if key_manager.get_key_count() == 0:
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raise HTTPException(status_code=500, detail="Chưa cấu hình API Key")
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try:
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file_content = await file.read()
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file_ext = os.path.splitext(file.filename)[1].lower()
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-
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global_semaphore = asyncio.Semaphore(MAX_THREADS)
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results = []
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if file_ext == ".pdf":
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@@ -374,8 +340,7 @@ async def convert_file(
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async def process_page_wrapper(page, idx):
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pix = page.get_pixmap(dpi=300)
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img = Image.open(io.BytesIO(pix.tobytes("png")))
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return idx, text
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tasks = [process_page_wrapper(doc[i], i) for i in range(len(doc))]
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page_results = await asyncio.gather(*tasks)
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elif file_ext in [".png", ".jpg", ".jpeg", ".bmp"]:
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img = Image.open(io.BytesIO(file_content))
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results.append(text)
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else:
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raise HTTPException(status_code=400, detail="Định dạng file không hỗ trợ")
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@@ -393,34 +357,22 @@ async def convert_file(
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return {"success": True, "result": clean_latex_formulas(final_text)}
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except Exception as e:
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import traceback
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traceback.print_exc()
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raise HTTPException(status_code=500, detail=str(e))
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@
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| 401 |
async def export_docx(markdown_text: str = Form(...)):
|
| 402 |
try:
|
| 403 |
with tempfile.NamedTemporaryFile(suffix=".docx", delete=False) as tmp_file:
|
| 404 |
output_filename = tmp_file.name
|
| 405 |
-
|
| 406 |
-
|
| 407 |
-
markdown_text,
|
| 408 |
-
to='docx',
|
| 409 |
-
format='markdown',
|
| 410 |
-
outputfile=output_filename,
|
| 411 |
-
extra_args=['--standalone']
|
| 412 |
-
)
|
| 413 |
-
|
| 414 |
-
return FileResponse(
|
| 415 |
-
output_filename,
|
| 416 |
-
media_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
|
| 417 |
-
filename="Ket_qua_HT_MATH_Pandoc.docx"
|
| 418 |
-
)
|
| 419 |
except Exception as e:
|
| 420 |
-
import traceback
|
| 421 |
-
traceback.print_exc()
|
| 422 |
raise HTTPException(status_code=500, detail=f"Lỗi xuất Word: {str(e)}")
|
| 423 |
|
|
|
|
|
|
|
|
|
|
| 424 |
if __name__ == "__main__":
|
| 425 |
import uvicorn
|
| 426 |
uvicorn.run(app, host="0.0.0.0", port=int(os.getenv("PORT", "7860")))
|
|
|
|
| 1 |
"""
|
| 2 |
Backend API cho HT_MATH_WEB - Chạy trên Hugging Face Spaces (Docker Version)
|
| 3 |
+
Phiên bản: 8.4 (Refactor with APIRouter & Deep Debugging)
|
| 4 |
Tác giả: Hoàng Tấn Thiên
|
| 5 |
"""
|
| 6 |
|
|
|
|
| 16 |
import math
|
| 17 |
from typing import List, Optional
|
| 18 |
|
| 19 |
+
from fastapi import FastAPI, File, UploadFile, HTTPException, Form, Request, APIRouter
|
| 20 |
from fastapi.middleware.cors import CORSMiddleware
|
| 21 |
from fastapi.responses import JSONResponse, FileResponse
|
| 22 |
from fastapi.staticfiles import StaticFiles
|
|
|
|
| 33 |
except OSError:
|
| 34 |
print("CRITICAL WARNING: pandoc binary not found in system path.")
|
| 35 |
|
| 36 |
+
# --- SUPABASE SETUP ---
|
| 37 |
try:
|
| 38 |
from supabase import create_client, Client
|
| 39 |
SUPABASE_AVAILABLE = True
|
|
|
|
| 47 |
GEMINI_MODELS = os.getenv("GEMINI_MODELS", "gemini-2.5-flash,gemini-1.5-pro").split(",")
|
| 48 |
SUPABASE_URL = os.getenv("SUPABASE_URL", "")
|
| 49 |
SUPABASE_KEY = os.getenv("SUPABASE_KEY", "")
|
| 50 |
+
MAX_THREADS = int(os.getenv("MAX_THREADS", "5"))
|
| 51 |
ADMIN_SECRET_KEY = os.getenv("ADMIN_SECRET_KEY", "admin123")
|
| 52 |
|
| 53 |
+
# Setup Supabase Client
|
| 54 |
supabase = None
|
| 55 |
if SUPABASE_AVAILABLE and SUPABASE_URL and SUPABASE_KEY:
|
| 56 |
try:
|
|
|
|
| 58 |
except Exception as e:
|
| 59 |
print(f"Warning: Không thể kết nối Supabase: {e}")
|
| 60 |
|
| 61 |
+
# ===== KHỞI TẠO APP =====
|
| 62 |
+
app = FastAPI(title="HT_MATH_WEB API", version="8.4")
|
| 63 |
|
| 64 |
+
# CORS Middleware
|
| 65 |
app.add_middleware(
|
| 66 |
CORSMiddleware,
|
| 67 |
allow_origins=["*"],
|
|
|
|
| 70 |
allow_headers=["*"],
|
| 71 |
)
|
| 72 |
|
| 73 |
+
# Static Files
|
| 74 |
os.makedirs("uploads", exist_ok=True)
|
| 75 |
app.mount("/uploads", StaticFiles(directory="uploads"), name="uploads")
|
| 76 |
|
| 77 |
+
# ===== ROUTER SETUP (QUAN TRỌNG) =====
|
| 78 |
+
# Gom nhóm tất cả API vào router để đảm bảo prefix luôn đúng
|
| 79 |
+
api_router = APIRouter(prefix="/api")
|
| 80 |
+
|
| 81 |
+
# ===== LOGGING STARTUP =====
|
| 82 |
@app.on_event("startup")
|
| 83 |
async def startup_event():
|
| 84 |
+
print("\n" + "="*60)
|
| 85 |
+
print(">> SERVER V8.4 STARTING UP...")
|
| 86 |
+
print(">> REGISTERED ROUTES:")
|
| 87 |
+
for route in app.routes:
|
| 88 |
+
print(f" path: {route.path} | name: {route.name} | methods: {route.methods}")
|
| 89 |
+
print("="*60 + "\n")
|
| 90 |
+
|
| 91 |
+
# ===== EXCEPTION HANDLERS =====
|
| 92 |
@app.exception_handler(404)
|
| 93 |
async def not_found_handler(request: Request, exc):
|
|
|
|
|
|
|
| 94 |
return JSONResponse(
|
| 95 |
status_code=404,
|
| 96 |
content={
|
| 97 |
"detail": f"Route not found: {request.url.path}",
|
| 98 |
+
"method": request.method,
|
| 99 |
+
"available_routes": [r.path for r in request.app.routes]
|
| 100 |
}
|
| 101 |
)
|
| 102 |
|
|
|
|
| 118 |
key_manager = ApiKeyManager(GEMINI_API_KEYS)
|
| 119 |
|
| 120 |
ip_rate_limits = {}
|
| 121 |
+
RATE_LIMIT_DURATION = 7
|
| 122 |
|
| 123 |
def check_rate_limit(request: Request):
|
| 124 |
forwarded = request.headers.get("X-Forwarded-For")
|
|
|
|
| 130 |
print(f"[RateLimit] IP {client_ip} requesting too fast.")
|
| 131 |
ip_rate_limits[client_ip] = now
|
| 132 |
|
| 133 |
+
# ===== HELPER FUNCTIONS =====
|
|
|
|
| 134 |
STRONG_PROMPT_LATEX = r"""Role: Chuyên viên nhập liệu Toán học chính xác cao.
|
| 135 |
Task: Số hóa lại tài liệu trong ảnh thành Markdown/LaTeX để lưu trữ.
|
| 136 |
+
⚠️ YÊU CẦU: Trích xuất KHÔNG BỎ SÓT. Giữ nguyên định dạng gốc."""
|
| 137 |
|
| 138 |
+
SAFE_PROMPT_LATEX = r"""Role: Trợ lý hỗ trợ người khiếm thị.
|
| 139 |
+
Task: Mô tả lại nội dung văn bản và toán học trong ảnh."""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 140 |
|
| 141 |
+
def clean_latex_formulas(text: str) -> str:
|
| 142 |
+
return re.sub(r'\$\s+(.*?)\s+\$', lambda m: f'${m.group(1).strip()}$', text)
|
| 143 |
|
| 144 |
+
def hash_password(password: str) -> str:
|
| 145 |
+
return hashlib.sha256(password.encode()).hexdigest()
|
| 146 |
|
| 147 |
+
def verify_password(password: str, hashed: str) -> bool:
|
| 148 |
+
return hash_password(password) == hashed
|
|
|
|
|
|
|
|
|
|
| 149 |
|
| 150 |
# ===== STITCHING ALGORITHM =====
|
| 151 |
def stitch_text(text_a: str, text_b: str, min_overlap_chars: int = 20) -> str:
|
| 152 |
if not text_a: return text_b
|
| 153 |
if not text_b: return text_a
|
|
|
|
| 154 |
a_lines = text_a.splitlines()
|
| 155 |
b_lines = text_b.splitlines()
|
|
|
|
| 156 |
scan_window = min(len(a_lines), len(b_lines), 30)
|
|
|
|
| 157 |
best_overlap_idx = 0
|
|
|
|
| 158 |
for i in range(scan_window, 0, -1):
|
| 159 |
tail_a = "\n".join(a_lines[-i:]).strip()
|
| 160 |
head_b = "\n".join(b_lines[:i]).strip()
|
|
|
|
| 161 |
if len(tail_a) >= min_overlap_chars and tail_a == head_b:
|
| 162 |
best_overlap_idx = i
|
| 163 |
break
|
|
|
|
| 164 |
if best_overlap_idx > 0:
|
| 165 |
return text_a + "\n" + "\n".join(b_lines[best_overlap_idx:])
|
| 166 |
else:
|
| 167 |
return text_a + "\n\n" + text_b
|
| 168 |
|
| 169 |
+
# ===== CORE AI LOGIC =====
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 170 |
|
| 171 |
async def process_image_with_gemini(image: Image.Image, model_id: str, prompt_mode: str, max_retries: int = 3) -> str:
|
| 172 |
+
current_prompt = STRONG_PROMPT_LATEX if prompt_mode == "latex" else "Trích xuất văn bản."
|
|
|
|
| 173 |
safety_settings = [
|
| 174 |
{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
|
| 175 |
{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
|
|
|
|
| 183 |
api_key = key_manager.get_next_key()
|
| 184 |
if not api_key: raise ValueError("No API Key")
|
| 185 |
genai.configure(api_key=api_key)
|
|
|
|
| 186 |
model = genai.GenerativeModel(model_id, generation_config=generation_config)
|
| 187 |
|
|
|
|
| 188 |
response = model.generate_content([current_prompt, image], safety_settings=safety_settings)
|
| 189 |
|
| 190 |
if response.candidates:
|
| 191 |
candidate = response.candidates[0]
|
| 192 |
if candidate.content and candidate.content.parts:
|
| 193 |
+
return response.text.strip()
|
|
|
|
|
|
|
| 194 |
|
| 195 |
finish_reason = candidate.finish_reason
|
| 196 |
print(f"[Gemini] Blocked. Reason: {finish_reason}")
|
| 197 |
|
| 198 |
if finish_reason == 4 and current_prompt == STRONG_PROMPT_LATEX:
|
| 199 |
+
print("[Gemini] Switching to SAFE_PROMPT...")
|
| 200 |
current_prompt = SAFE_PROMPT_LATEX
|
| 201 |
+
continue
|
| 202 |
|
| 203 |
+
if finish_reason == 4: return "\n> *[Nội dung bị ẩn do bản quyền]*\n"
|
| 204 |
+
if finish_reason == 3: return "\n> *[Nội dung bị ẩn do Safety Filter]*\n"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 205 |
except Exception as e:
|
| 206 |
print(f"[Gemini] Error attempt {attempt}: {str(e)}")
|
| 207 |
+
if "429" in str(e): time.sleep(2); continue
|
|
|
|
|
|
|
| 208 |
|
| 209 |
+
return ""
|
| 210 |
|
| 211 |
async def process_large_image(image: Image.Image, model: str, prompt_mode: str, semaphore: asyncio.Semaphore) -> str:
|
| 212 |
CHUNK_HEIGHT = 1536
|
| 213 |
OVERLAP_HEIGHT = 300
|
|
|
|
| 214 |
width, height = image.size
|
| 215 |
|
| 216 |
if height <= CHUNK_HEIGHT:
|
|
|
|
| 227 |
if bottom == height: break
|
| 228 |
y += (CHUNK_HEIGHT - OVERLAP_HEIGHT)
|
| 229 |
|
| 230 |
+
print(f"[Split] Height {height}px -> {len(chunks)} chunks.")
|
| 231 |
|
| 232 |
async def process_chunk(chunk_img, index):
|
| 233 |
async with semaphore:
|
|
|
|
| 236 |
|
| 237 |
tasks = [process_chunk(chunk, i) for i, chunk in enumerate(chunks)]
|
| 238 |
chunk_results = await asyncio.gather(*tasks)
|
|
|
|
| 239 |
chunk_results.sort(key=lambda x: x[0])
|
| 240 |
ordered_texts = [text for _, text in chunk_results]
|
| 241 |
|
| 242 |
final_text = ordered_texts[0]
|
| 243 |
for i in range(1, len(ordered_texts)):
|
| 244 |
final_text = stitch_text(final_text, ordered_texts[i], min_overlap_chars=20)
|
|
|
|
| 245 |
return final_text
|
| 246 |
|
| 247 |
+
# ===== ROUTES DEFINITION =====
|
| 248 |
+
|
| 249 |
+
@app.get("/")
|
| 250 |
+
@app.get("/health")
|
| 251 |
+
async def root():
|
| 252 |
+
return {
|
| 253 |
+
"status": "ok",
|
| 254 |
+
"service": "HT_MATH_WEB API v8.4",
|
| 255 |
+
"keys": key_manager.get_key_count()
|
| 256 |
+
}
|
| 257 |
+
|
| 258 |
+
# --- DEBUG ROUTE ---
|
| 259 |
+
@app.get("/debug/routes")
|
| 260 |
+
async def debug_routes():
|
| 261 |
+
"""Liệt kê tất cả route đang hoạt động để kiểm tra lỗi 404"""
|
| 262 |
+
return {
|
| 263 |
+
"routes": [{"path": route.path, "name": route.name, "methods": list(route.methods)} for route in app.routes]
|
| 264 |
+
}
|
| 265 |
+
|
| 266 |
+
# --- API ROUTES (Được gắn vào api_router) ---
|
| 267 |
+
|
| 268 |
+
@api_router.get("/models")
|
| 269 |
+
async def get_models():
|
| 270 |
+
return {"models": GEMINI_MODELS}
|
| 271 |
+
|
| 272 |
+
@api_router.post("/register")
|
| 273 |
+
async def register(email: str = Form(...), password: str = Form(...)):
|
| 274 |
+
if not supabase: raise HTTPException(status_code=500, detail="DB Error")
|
| 275 |
+
res = supabase.table("users").select("email").eq("email", email).execute()
|
| 276 |
+
if res.data: raise HTTPException(status_code=400, detail="Email tồn tại")
|
| 277 |
+
user_data = {"email": email, "password": hash_password(password), "status": "pending", "created_at": time.strftime("%Y-%m-%d %H:%M:%S")}
|
| 278 |
+
supabase.table("users").insert(user_data).execute()
|
| 279 |
+
return {"success": True}
|
| 280 |
+
|
| 281 |
+
@api_router.post("/login")
|
| 282 |
+
async def login(email: str = Form(...), password: str = Form(...)):
|
| 283 |
+
if not supabase: raise HTTPException(status_code=500, detail="DB Error")
|
| 284 |
+
res = supabase.table("users").select("*").eq("email", email).execute()
|
| 285 |
+
if not res.data: raise HTTPException(status_code=401, detail="Sai email/pass")
|
| 286 |
+
user = res.data[0]
|
| 287 |
+
if not verify_password(password, user["password"]): raise HTTPException(status_code=401, detail="Sai email/pass")
|
| 288 |
+
if user.get("status") != "active": raise HTTPException(status_code=403, detail="Tài khoản chưa kích hoạt")
|
| 289 |
+
token = secrets.token_urlsafe(32)
|
| 290 |
+
try: supabase.table("sessions").delete().eq("email", email).execute()
|
| 291 |
+
except: pass
|
| 292 |
+
supabase.table("sessions").insert({"email": email, "token": token, "last_seen": time.strftime("%Y-%m-%d %H:%M:%S")}).execute()
|
| 293 |
+
return {"success": True, "token": token, "email": email}
|
| 294 |
+
|
| 295 |
+
@api_router.post("/check-session")
|
| 296 |
+
async def check_session(email: str = Form(...), token: str = Form(...)):
|
| 297 |
+
if not supabase: raise HTTPException(status_code=500, detail="DB Error")
|
| 298 |
+
res = supabase.table("sessions").select("token").eq("email", email).execute()
|
| 299 |
+
if not res.data or res.data[0]['token'] != token: raise HTTPException(status_code=401, detail="Session expired")
|
| 300 |
+
supabase.table("sessions").update({"last_seen": time.strftime("%Y-%m-%d %H:%M:%S")}).eq("email", email).execute()
|
| 301 |
+
return {"status": "valid"}
|
| 302 |
+
|
| 303 |
+
@api_router.post("/logout")
|
| 304 |
+
async def logout(request: Request):
|
| 305 |
+
try:
|
| 306 |
+
data = await request.json()
|
| 307 |
+
email = data.get("email")
|
| 308 |
+
if email and supabase: supabase.table("sessions").delete().eq("email", email).execute()
|
| 309 |
+
except: pass
|
| 310 |
+
return {"status": "success"}
|
| 311 |
+
|
| 312 |
+
@api_router.post("/upload-image")
|
| 313 |
+
async def upload_image(file: UploadFile = File(...)):
|
| 314 |
+
try:
|
| 315 |
+
file_ext = os.path.splitext(file.filename)[1] or ".png"
|
| 316 |
+
file_name = f"{uuid.uuid4().hex}{file_ext}"
|
| 317 |
+
file_path = f"uploads/{file_name}"
|
| 318 |
+
with open(file_path, "wb") as f: f.write(await file.read())
|
| 319 |
+
return {"url": file_path}
|
| 320 |
+
except Exception as e: raise HTTPException(status_code=500, detail=str(e))
|
| 321 |
+
|
| 322 |
+
@api_router.post("/convert")
|
| 323 |
async def convert_file(
|
| 324 |
request: Request,
|
| 325 |
file: UploadFile = File(...),
|
|
|
|
| 327 |
mode: str = Form("latex")
|
| 328 |
):
|
| 329 |
check_rate_limit(request)
|
| 330 |
+
if key_manager.get_key_count() == 0: raise HTTPException(status_code=500, detail="Chưa cấu hình API Key")
|
|
|
|
| 331 |
|
| 332 |
try:
|
| 333 |
file_content = await file.read()
|
| 334 |
file_ext = os.path.splitext(file.filename)[1].lower()
|
|
|
|
| 335 |
global_semaphore = asyncio.Semaphore(MAX_THREADS)
|
|
|
|
| 336 |
results = []
|
| 337 |
|
| 338 |
if file_ext == ".pdf":
|
|
|
|
| 340 |
async def process_page_wrapper(page, idx):
|
| 341 |
pix = page.get_pixmap(dpi=300)
|
| 342 |
img = Image.open(io.BytesIO(pix.tobytes("png")))
|
| 343 |
+
return idx, await process_large_image(img, model, mode, global_semaphore)
|
|
|
|
| 344 |
|
| 345 |
tasks = [process_page_wrapper(doc[i], i) for i in range(len(doc))]
|
| 346 |
page_results = await asyncio.gather(*tasks)
|
|
|
|
| 349 |
|
| 350 |
elif file_ext in [".png", ".jpg", ".jpeg", ".bmp"]:
|
| 351 |
img = Image.open(io.BytesIO(file_content))
|
| 352 |
+
results.append(await process_large_image(img, model, mode, global_semaphore))
|
|
|
|
| 353 |
else:
|
| 354 |
raise HTTPException(status_code=400, detail="Định dạng file không hỗ trợ")
|
| 355 |
|
|
|
|
| 357 |
return {"success": True, "result": clean_latex_formulas(final_text)}
|
| 358 |
|
| 359 |
except Exception as e:
|
| 360 |
+
import traceback; traceback.print_exc()
|
|
|
|
| 361 |
raise HTTPException(status_code=500, detail=str(e))
|
| 362 |
|
| 363 |
+
@api_router.post("/export-docx")
|
| 364 |
async def export_docx(markdown_text: str = Form(...)):
|
| 365 |
try:
|
| 366 |
with tempfile.NamedTemporaryFile(suffix=".docx", delete=False) as tmp_file:
|
| 367 |
output_filename = tmp_file.name
|
| 368 |
+
pypandoc.convert_text(markdown_text, to='docx', format='markdown', outputfile=output_filename, extra_args=['--standalone'])
|
| 369 |
+
return FileResponse(output_filename, media_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document", filename="Ket_qua.docx")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 370 |
except Exception as e:
|
|
|
|
|
|
|
| 371 |
raise HTTPException(status_code=500, detail=f"Lỗi xuất Word: {str(e)}")
|
| 372 |
|
| 373 |
+
# ===== ĐĂNG KÝ ROUTER VÀO APP =====
|
| 374 |
+
app.include_router(api_router)
|
| 375 |
+
|
| 376 |
if __name__ == "__main__":
|
| 377 |
import uvicorn
|
| 378 |
uvicorn.run(app, host="0.0.0.0", port=int(os.getenv("PORT", "7860")))
|