Update app.py

app.py

@@ -6,20 +6,9 @@ from dotenv import load_dotenv
 from typing import Optional  
 import os  
   
-# اجبار gdown يستخدم /tmp (المكان الوحيد المضمون بالكتابة في HuggingFace)  
-cache_dir = "/tmp/gdown_cache"  
-os.makedirs(cache_dir, exist_ok=True)  
-  
-gdown_cache = os.path.join(cache_dir, "gdown")  
-os.makedirs(gdown_cache, exist_ok=True)  
-  
-cookie_file = os.path.join(gdown_cache, "cookies.txt")  
-if not os.path.exists(cookie_file):  
-    with open(cookie_file, "w") as f:  
-        f.write("")  
-  
-os.environ["GDOWN_CACHE"] = cache_dir  
-os.environ["XDG_CACHE_HOME"] = cache_dir  
+# أضف هذا السطر
+DATA_DIR = "data"
+os.makedirs(DATA_DIR, exist_ok=True)
 # تحميل متغيرات البيئة  
 load_dotenv()  
   
@@ -151,10 +140,10 @@ def looks_religious_answer(text: str) -> bool:
 print("[SERVER-INFO] بدء تحميل الأصول...")  
 DATA_FILE_ID = "1GMG6fVxhUuBEAHP91c8RAUdUJh5TxY5O"  
 EMBEDDINGS_FILE_ID = "1MCIJ4zZRfTC9ZEy-CLvcvNbRdjTFnw5q"  
-data_path = 'cleaned_fatwas_v2.csv'  
-embeddings_path = 'questions_embeddings_arabert.npy'  
-learned_data_path = 'learned_fatwas.csv'  
-FEEDBACK_FILE = "feedback.csv"  
+data_path = os.path.join(DATA_DIR, 'cleaned_fatwas_v2.csv')
+embeddings_path = os.path.join(DATA_DIR, 'questions_embeddings_arabert.npy')
+learned_data_path = os.path.join(DATA_DIR, 'learned_fatwas.csv')
+FEEDBACK_FILE = os.path.join(DATA_DIR, "feedback.csv")
   
 TELEGRAM_BOT_TOKEN = os.environ.get("TELEGRAM_BOT_TOKEN", "TOKEN")  
 TELEGRAM_CHAT_ID = os.environ.get("TELEGRAM_CHAT_ID", "CHAT_ID")  
@@ -256,11 +245,15 @@ def google_search_fatwa(query: str):
 # ===================== 9) FastAPI app (واحد) =====================  
 app = FastAPI(title="Hajeen Islamic QA API (Fatwas + Hadith)")  
 def safe_download(file_id, output_path):  
-    try:  
-        gdown.download(id=file_id, output=output_path, quiet=False)  
+    try:
+        # نحدد مجلد الكاش هنا ليكون داخل مجلد البيانات الرئيسي
+        cache_folder = os.path.join(DATA_DIR, "gdown_cache")
+        gdown.download(id=file_id, output=output_path, quiet=False, cache=cache_folder)  
         print(f"[SAFE-DOWNLOAD] تم تنزيل {output_path}")  
     except Exception as e:  
-        print(f"[SAFE-DOWNLOAD-ERROR] {e}")  
+        print(f"[SAFE-DOWNLOAD-ERROR] {e}")
+        # من الأفضل إيقاف التطبيق إذا فشل تنزيل ملف أساسي
+        raise e
 @app.on_event("startup")  
 async def startup_event():  
     global df_main, df_learned, question_embeddings, index, tokenizer, model  
@@ -378,10 +371,10 @@ ID_MUSLIM  = os.environ.get("ID_MUSLIM")
 ID_MUSNAD  = os.environ.get("ID_MUSNAD")  
   
 PATHS = {  
-    "bukhari": "sahih_bukhari_clean.csv",  
-    "muslim":  "sahih_muslim_clean.csv",  
-    "musnad":  "musnad_ahmed_clean.csv",  
-}  
+    "bukhari": os.path.join(DATA_DIR, "sahih_bukhari_clean.csv"),
+    "muslim":  os.path.join(DATA_DIR, "sahih_muslim_clean.csv"),
+    "musnad":  os.path.join(DATA_DIR, "musnad_ahmed_clean.csv"),
+}
   
 # --- تطبيع عربي (أحاديث) ---  
 def normalize_ar(s: str) -> str: