Update app.py

app.py

@@ -342,14 +342,11 @@ class EnhancedFileProcessor:
             logger.error(f"Archive processing error: {e}")
         return dataset
 
-    def chunk_data(self, data: Union[Dict, List, str], max_size: int = 2953) -> List[Dict]:
+    def chunk_data(self, data: Union[Dict, List], max_size: int = 2953) -> List[Dict]:
         """Enhanced data chunking with sequence metadata"""
         try:
-            if not isinstance(data, str):
-                # Convert data to JSON string
-                json_str = json.dumps(data, ensure_ascii=False)
-            else:
-                json_str = data
+            # Convert data to JSON string
+            json_str = json.dumps(data, ensure_ascii=False)
             total_length = len(json_str)
 
             # Calculate overhead for metadata
@@ -460,7 +457,7 @@ def generate_qr_codes(data: Union[str, Dict, List], combined: bool = True) -> Li
             for i, chunk in enumerate(chunks):
                 filename = f'combined_qr_{int(time.time())}_{i+1}_of_{len(chunks)}.png'
                 qr_path = generate_stylish_qr(
-                    data=chunk['data'], # Use the 'data' part of the chunk
+                    data=chunk,
                     filename=filename,
                     fill_color="#1a365d",  # Deep blue
                     back_color="#ffffff"
@@ -475,7 +472,7 @@ def generate_qr_codes(data: Union[str, Dict, List], combined: bool = True) -> Li
                     for chunk_idx, chunk in enumerate(chunks):
                         filename = f'item_{idx+1}_chunk_{chunk_idx+1}_of_{len(chunks)}_{int(time.time())}.png'
                         qr_path = generate_stylish_qr(
-                            data=chunk['data'], # Use the 'data' part of the chunk
+                            data=chunk,
                             filename=filename,
                             fill_color="#1a365d",  # Deep blue
                             back_color="#ffffff"
@@ -487,7 +484,7 @@ def generate_qr_codes(data: Union[str, Dict, List], combined: bool = True) -> Li
                 for i, chunk in enumerate(chunks):
                     filename = f'single_qr_{i+1}_of_{len(chunks)}_{int(time.time())}.png'
                     qr_path = generate_stylish_qr(
-                        data=chunk['data'], # Use the 'data' part of the chunk
+                        data=chunk,
                         filename=filename,
                         fill_color="#1a365d",  # Deep blue
                         back_color="#ffffff"
@@ -806,19 +803,14 @@ def create_modern_interface():
                     for url in url_list:
                         validation = url_processor.validate_url(url)
                         if validation['is_valid']:
-                            content_data = url_processor.fetch_content(url)
-                            if content_data and 'content' in content_data:
-                                # Chunk the content of each URL
-                                chunks = file_processor.chunk_data(content_data['content'])
-                                for i, chunk in enumerate(chunks):
-                                    results.append({
-                                        'source': 'url',
-                                        'url': url,
-                                        'chunk_index': i + 1,
-                                        'total_chunks': len(chunks),
-                                        'content': chunk['data'], # Store the chunked data
-                                        'timestamp': datetime.now().isoformat()
-                                    })
+                            content = url_processor.fetch_content(url)
+                            if content:
+                                results.append({
+                                    'source': 'url',
+                                    'url': url,
+                                    'content': content,
+                                    'timestamp': datetime.now().isoformat()
+                                })
 
                 # Process files
                 if files: