Fix startup and Gemini provider handling

services/pdf_handler.py

@@ -6,25 +6,35 @@ from pathlib import Path
 
 from config import UPLOAD_DIR
 
+# Maximum pages we will extract from a single PDF upload.
+# Beyond this limit pages are silently dropped to prevent runaway queue growth.
+MAX_PDF_PAGES = 200
+
 
 def pdf_to_images(pdf_bytes: bytes, original_name: str) -> list[dict]:
     """
     Convert a PDF to individual page images.
-    Returns list of dicts: [{"image_path": "relative/path.png", "page_number": 1}, ...]
+
+    Each page is rendered at 250 DPI — sufficient for Arabic OCR while keeping
+    file sizes manageable.  For scanned/image-only PDFs PyMuPDF simply renders
+    the embedded raster; no additional image extraction step is needed.
+
+    Returns list of dicts: [{"image_path": "relative/path.png", "page_number": 1, ...}, ...]
     """
     import fitz  # PyMuPDF
 
     doc = fitz.open(stream=pdf_bytes, filetype="pdf")
+    total_pages = len(doc)
     group_id = uuid.uuid4().hex
     today = date.today().isoformat()
     dest_dir = Path(UPLOAD_DIR) / today
     dest_dir.mkdir(parents=True, exist_ok=True)
 
     pages = []
-    for page_num in range(len(doc)):
+    for page_num in range(min(total_pages, MAX_PDF_PAGES)):
         page = doc[page_num]
-        # Render at 200 DPI for good OCR quality
-        pix = page.get_pixmap(dpi=200)
+        # 250 DPI gives sharper Arabic text while staying under ~2 MB per PNG
+        pix = page.get_pixmap(dpi=250)
 
         filename = f"{group_id}_p{page_num + 1}.png"
         dest = dest_dir / filename
@@ -34,6 +44,7 @@ def pdf_to_images(pdf_bytes: bytes, original_name: str) -> list[dict]:
             "image_path": str(Path(today) / filename),
             "page_number": page_num + 1,
             "pdf_group_id": group_id,
+            "total_pages": total_pages,
         })
 
     doc.close()