Update script_runner.py

script_runner.py

@@ -1,19 +1,29 @@
- import cv2
-    
-    # Implementation would use feature detection and motion estimation
-    # This is a simplified placeholder
-    cap = cv2.VideoCapture(input_path)
-    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
-    out = cv2.VideoWriter(output_path, fourcc, 30.0, 
-                         (int(cap.get(3)), int(cap.get(4))))
-    
-    # Actual stabilization algorithm would go here
-    while cap.isOpened():
-        ret, frame = cap.read()
-        if not ret:
-            break
-        out.write(frame)
-    
-    cap.release()
-    out.release()
-    return output_path
+"""
+Modul pro spuštění a validaci externích skriptů v omezeném kontextu.
+"""
+from analysis_tools import safe_execute_script, validate_python_script
+
+if __name__ == '__main__':
+    import argparse
+
+    parser = argparse.ArgumentParser(description='Run Python script safely')
+    parser.add_argument('script', help='Path to Python script file')
+    parser.add_argument('--video_path', help='Path to video file', default=None)
+    parser.add_argument('--frame_data', help='Frame data input', default=None)
+    parser.add_argument('--metadata', help='Metadata input', default=None)
+    args = parser.parse_args()
+
+    with open(args.script, 'r') as f:
+        code = f.read()
+
+    is_valid, message = validate_python_script(code)
+    if not is_valid:
+        print(f"Validation failed: {message}")
+    else:
+        context = {
+            'video_path': args.video_path,
+            'frame_data': args.frame_data,
+            'metadata': args.metadata
+        }
+        result = safe_execute_script(code, context)
+        print(result)