Add MAX_FRAMES env var to limit video frame processing

Allow users to set the `MAX_FRAMES` environment variable to cap the number of frames processed during strong analysis.
Adds debug output, removes the hard‑coded frame counter, and updates the loop to process all frames or stop at the specified limit.

app.py

@@ -389,13 +389,24 @@ def generar_analisis_fuerte(media_path):
         if ext in [".mp4", ".mov", ".avi", ".mkv"]:
             cap = cv2.VideoCapture(media_path)
             idx = 0
-            grabbed = 0
-            while grabbed < 3:
+            # Process all frames in the video. This may be expensive for long videos.
+            # To limit processing, set the environment variable MAX_FRAMES to a positive integer.
+            max_frames_env = os.getenv("MAX_FRAMES", "0")
+            try:
+                max_frames = int(max_frames_env)
+            except Exception:
+                max_frames = 0
+            if max_frames > 0:
+                print(f"DEBUG: processing up to {max_frames} frames (MAX_FRAMES set)")
+            else:
+                print("DEBUG: processing all video frames for strong analysis (may be slow)...")
+            while True:
                 ret, frame = cap.read()
                 if not ret:
                     break
                 tmpf = os.path.join(tmpdir, f"frame_{idx}.jpg")
                 cv2.imwrite(tmpf, frame)
+                # Run detection per frame
                 results = model.predict(source=tmpf, conf=0.25, iou=0.45)
                 dets = []
                 if results and len(results) > 0:
@@ -418,7 +429,8 @@ def generar_analisis_fuerte(media_path):
                 visual = compute_visual_features(tmpf, dets)
                 frames.append({"frame_index": idx, "detections": dets, "visual": visual, "image_path": tmpf})
                 idx += 1
-                grabbed += 1
+                if max_frames > 0 and idx >= max_frames:
+                    break
             cap.release()
         else:
             # single image