Fixing script

data.example/__init__.py

@@ -13,6 +13,9 @@ import hashlib
 import pickle
 import os
 import sys
+from concurrent.futures import ProcessPoolExecutor, as_completed
+from functools import partial
+import multiprocessing
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
@@ -257,6 +260,32 @@ def create_dataloader(
     )
 
 
+# ============================================================================
+# Standalone function for multiprocessing (must be at module level to be picklable)
+# ============================================================================
+
+def _process_file_worker(file_path_str: str, use_ocr: bool, use_pdf_extraction: bool) -> tuple:
+    """
+    Worker function for processing a single file in parallel.
+    Must be at module level to be picklable for multiprocessing.
+    
+    Args:
+        file_path_str: File path as string
+        use_ocr: Whether to use OCR
+        use_pdf_extraction: Whether to extract PDFs
+        
+    Returns:
+        Tuple of (file_path, lines_list, error_string)
+    """
+    try:
+        file_path = Path(file_path_str)
+        processor = DataProcessor(use_ocr=use_ocr, use_pdf_extraction=use_pdf_extraction)
+        file_lines = list(processor.process_file(file_path))
+        return (str(file_path), file_lines, None)
+    except Exception as e:
+        return (str(file_path_str), [], str(e))
+
+
 # ============================================================================
 # Data Processor for Multiple File Types
 # ============================================================================
@@ -572,6 +601,10 @@ class DataProcessor:
         include_patterns: Optional[List[str]] = None,
         exclude_patterns: Optional[List[str]] = None,
         min_length: int = 10,
+        max_files: Optional[int] = None,
+        num_workers: int = 0,
+        skip_images: bool = False,
+        skip_pdfs: bool = False,
     ) -> Iterator[str]:
         """
         Process all files in a directory.
@@ -582,6 +615,10 @@ class DataProcessor:
             include_patterns: Optional list of glob patterns to include
             exclude_patterns: Optional list of glob patterns to exclude
             min_length: Minimum length for extracted text lines
+            max_files: Maximum number of files to process (None = all)
+            num_workers: Number of parallel workers (0 = sequential, -1 = auto)
+            skip_images: Skip image files (faster processing)
+            skip_pdfs: Skip PDF files (faster processing)
             
         Yields:
             Text lines from all processed files
@@ -625,12 +662,11 @@ class DataProcessor:
             logger.info("Scanning directory (cache miss or invalid)...")
             
             # Collect all supported file extensions
-            all_supported_extensions = (
+            all_supported_extensions = self.TEXT_EXTENSIONS | self.CODE_EXTENSIONS
-                self.TEXT_EXTENSIONS | 
+            if not skip_pdfs:
-                self.CODE_EXTENSIONS | 
+                all_supported_extensions |= self.PDF_EXTENSIONS
-                self.PDF_EXTENSIONS | 
+            if not skip_images:
-                self.IMAGE_EXTENSIONS
+                all_supported_extensions |= self.IMAGE_EXTENSIONS
-            )
             
             if recursive:
                 pattern = '**/*'
@@ -715,6 +751,11 @@ class DataProcessor:
                 logger.error(f"Error during directory scanning: {e}")
                 logger.info(f"Continuing with {len(files_to_process)} files found so far...")
             
+            # Limit number of files if max_files is specified
+            if max_files and len(files_to_process) > max_files:
+                logger.info(f"Limiting to first {max_files:,} files (found {len(files_to_process):,} total)")
+                files_to_process = files_to_process[:max_files]
+            
             if skipped_count > 10:
                 logger.info(f"Skipped {skipped_count} inaccessible paths")
             
@@ -742,7 +783,16 @@ class DataProcessor:
             logger.warning("No files found to process!")
             return
         
-        logger.info(f"Starting to process {total_files} files with progress bar...")
+        # Determine number of workers
+        if num_workers == -1:
+            num_workers = max(1, multiprocessing.cpu_count() - 1)
+        elif num_workers == 0:
+            num_workers = 1  # Sequential processing
+        
+        if num_workers > 1:
+            logger.info(f"Starting to process {total_files:,} files with {num_workers} parallel workers...")
+        else:
+            logger.info(f"Starting to process {total_files:,} files sequentially...")
         
         # Create progress bar
         pbar = tqdm(
@@ -758,51 +808,95 @@ class DataProcessor:
         )
         
         try:
-            for idx, file_path in enumerate(files_to_process, 1):
+            if num_workers > 1:
-                try:
+                # Parallel processing
-                    file_lines = list(self.process_file(file_path))
+                # Use module-level function for pickling
-                    if file_lines:
+                worker_func = partial(
-                        processed_count += 1
+                    _process_file_worker,
-                        for line in file_lines:
+                    use_ocr=self.use_ocr and not skip_images,
-                            if len(line) >= min_length:
+                    use_pdf_extraction=self.use_pdf_extraction and not skip_pdfs,
-                                yield line
+                )
-                                total_lines += 1
+                with ProcessPoolExecutor(max_workers=num_workers) as executor:
-                    else:
+                    # Submit all tasks
-                        skipped_count += 1
+                    future_to_file = {
+                        executor.submit(worker_func, str(file_path)): file_path 
+                        for file_path in files_to_process
+                    }
                     
-                    # Update progress bar with statistics
+                    # Process completed tasks
-                    pbar.set_postfix({
+                    for future in as_completed(future_to_file):
-                        'Processed': processed_count,
+                        file_path_str, file_lines, error = future.result()
-                        'Skipped': skipped_count,
+                        file_path = Path(file_path_str)
-                        'Errors': error_count,
+                        
-                        'Lines': f"{total_lines:,}"
+                        if error:
-                    })
+                            error_count += 1
-                    pbar.update(1)  # Advance progress bar
+                            logger.error(f"Error processing {file_path}: {error}")
-                    pbar.refresh()  # Force immediate refresh
+                        elif file_lines:
-                    sys.stderr.flush()  # Force flush stderr to ensure progress bar displays
+                            processed_count += 1
-                
+                            for line in file_lines:
-                except KeyboardInterrupt:
+                                if len(line) >= min_length:
-                    pbar.close()
+                                    yield line
-                    logger.warning(
+                                    total_lines += 1
-                        f"Processing interrupted. "
+                        else:
-                        f"Files: {idx}/{total_files}, Processed: {processed_count}, "
+                            skipped_count += 1
-                        f"Skipped: {skipped_count}, Errors: {error_count}, "
+                        
-                        f"Lines extracted: {total_lines:,}"
+                        # Update progress bar
-                    )
+                        pbar.set_postfix({
-                    raise
+                            'Processed': processed_count,
-                except Exception as e:
+                            'Skipped': skipped_count,
-                    error_count += 1
+                            'Errors': error_count,
-                    logger.error(f"Error processing {file_path}: {e}")
+                            'Lines': f"{total_lines:,}"
-                    # Update progress bar even on errors
+                        })
-                    pbar.set_postfix({
+                        pbar.update(1)
-                        'Processed': processed_count,
+                        pbar.refresh()
-                        'Skipped': skipped_count,
+                        sys.stderr.flush()
-                        'Errors': error_count,
+            else:
-                        'Lines': f"{total_lines:,}"
+                # Sequential processing (original code)
-                    })
+                for idx, file_path in enumerate(files_to_process, 1):
-                    pbar.update(1)  # Advance progress bar even on error
+                    try:
-                    pbar.refresh()  # Force immediate refresh
+                        file_lines = list(self.process_file(file_path))
-                    sys.stderr.flush()  # Force flush stderr to ensure progress bar displays
+                        if file_lines:
+                            processed_count += 1
+                            for line in file_lines:
+                                if len(line) >= min_length:
+                                    yield line
+                                    total_lines += 1
+                        else:
+                            skipped_count += 1
+                        
+                        # Update progress bar with statistics
+                        pbar.set_postfix({
+                            'Processed': processed_count,
+                            'Skipped': skipped_count,
+                            'Errors': error_count,
+                            'Lines': f"{total_lines:,}"
+                        })
+                        pbar.update(1)  # Advance progress bar
+                        pbar.refresh()  # Force immediate refresh
+                        sys.stderr.flush()  # Force flush stderr to ensure progress bar displays
+                    
+                    except KeyboardInterrupt:
+                        pbar.close()
+                        logger.warning(
+                            f"Processing interrupted. "
+                            f"Files: {idx}/{total_files}, Processed: {processed_count}, "
+                            f"Skipped: {skipped_count}, Errors: {error_count}, "
+                            f"Lines extracted: {total_lines:,}"
+                        )
+                        raise
+                    except Exception as e:
+                        error_count += 1
+                        logger.error(f"Error processing {file_path}: {e}")
+                        # Update progress bar even on errors
+                        pbar.set_postfix({
+                            'Processed': processed_count,
+                            'Skipped': skipped_count,
+                            'Errors': error_count,
+                            'Lines': f"{total_lines:,}"
+                        })
+                        pbar.update(1)  # Advance progress bar even on error
+                        pbar.refresh()  # Force immediate refresh
+                        sys.stderr.flush()  # Force flush stderr to ensure progress bar displays
         finally:
             pbar.close()
         
@@ -819,6 +913,10 @@ class DataProcessor:
         exclude_patterns: Optional[List[str]] = None,
         min_length: int = 10,
         max_samples: Optional[int] = None,
+        max_files: Optional[int] = None,
+        num_workers: int = 0,
+        skip_images: bool = False,
+        skip_pdfs: bool = False,
     ) -> List[str]:
         """
         Process directory and return list of text lines.
@@ -846,6 +944,10 @@ class DataProcessor:
                 include_patterns=include_patterns,
                 exclude_patterns=exclude_patterns,
                 min_length=min_length,
+                max_files=max_files,
+                num_workers=num_workers,
+                skip_images=skip_images,
+                skip_pdfs=skip_pdfs,
             ):
                 texts.append(text)
                 if max_samples and len(texts) >= max_samples:
@@ -870,6 +972,10 @@ def extract_text_from_directory(
     use_pdf_extraction: bool = True,
     min_length: int = 10,
     max_samples: Optional[int] = None,
+    max_files: Optional[int] = None,
+    num_workers: int = 0,
+    skip_images: bool = False,
+    skip_pdfs: bool = False,
 ) -> List[str]:
     """
     Convenience function to extract text from a directory.
@@ -881,6 +987,10 @@ def extract_text_from_directory(
         use_pdf_extraction: Whether to extract text from PDFs
         min_length: Minimum length for extracted text lines
         max_samples: Maximum number of samples to return (None = all)
+        max_files: Maximum number of files to process (None = all)
+        num_workers: Number of parallel workers (0 = sequential, -1 = auto)
+        skip_images: Skip image files entirely (faster processing)
+        skip_pdfs: Skip PDF files entirely (faster processing)
         
     Returns:
         List of text lines
@@ -892,6 +1002,10 @@ def extract_text_from_directory(
             recursive=recursive,
             min_length=min_length,
             max_samples=max_samples,
+            max_files=max_files,
+            num_workers=num_workers,
+            skip_images=skip_images,
+            skip_pdfs=skip_pdfs,
         )
     except KeyboardInterrupt:
         logger.error(

train.py

@@ -73,6 +73,12 @@ def main():
     parser.add_argument('--data', type=str, required=True, help='Path to training data')
     parser.add_argument('--output', type=str, default='./checkpoints', help='Output directory')
     parser.add_argument('--resume', type=str, help='Path to checkpoint to resume from')
+    parser.add_argument('--max-files', type=int, default=None, help='Maximum number of files to process (None = all)')
+    parser.add_argument('--data-workers', type=int, default=0, help='Number of parallel workers for data processing (0 = sequential, -1 = auto)')
+    parser.add_argument('--skip-images', action='store_true', help='Skip image files (faster processing)')
+    parser.add_argument('--skip-pdfs', action='store_true', help='Skip PDF files (faster processing)')
+    parser.add_argument('--no-ocr', action='store_true', help='Disable OCR for images')
+    parser.add_argument('--no-pdf-extraction', action='store_true', help='Disable PDF text extraction')
     
     # Auto-detect best device
     if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
@@ -143,9 +149,13 @@ def main():
             texts = extract_text_from_directory(
                 directory=data_path,
                 recursive=True,
-                use_ocr=True,  # Enable OCR for images
+                use_ocr=not args.no_ocr,  # Enable OCR for images unless disabled
-                use_pdf_extraction=True,  # Enable PDF extraction
+                use_pdf_extraction=not args.no_pdf_extraction,  # Enable PDF extraction unless disabled
                 min_length=10,  # Minimum length for text lines
+                max_files=args.max_files,  # Limit number of files if specified
+                num_workers=args.data_workers,  # Parallel processing workers
+                skip_images=args.skip_images,  # Skip images entirely
+                skip_pdfs=args.skip_pdfs,  # Skip PDFs entirely
             )
         except KeyboardInterrupt:
             print("\n\n⚠️  Data processing interrupted by user (Ctrl+C).")