import os import fnmatch import pathspec def crawl_local_files( directory, include_patterns=None, exclude_patterns=None, max_file_size=None, use_relative_paths=True, ): """ Crawl files in a local directory with similar interface as crawl_github_files. Args: directory (str): Path to local directory include_patterns (set): File patterns to include (e.g. {"*.py", "*.js"}) exclude_patterns (set): File patterns to exclude (e.g. {"tests/*"}) max_file_size (int): Maximum file size in bytes use_relative_paths (bool): Whether to use paths relative to directory Returns: dict: {"files": {filepath: content}} """ if not os.path.isdir(directory): raise ValueError(f"Directory does not exist: {directory}") files_dict = {} # --- Load .gitignore --- gitignore_path = os.path.join(directory, ".gitignore") gitignore_spec = None if os.path.exists(gitignore_path): try: with open(gitignore_path, "r", encoding="utf-8-sig") as f: gitignore_patterns = f.readlines() gitignore_spec = pathspec.PathSpec.from_lines("gitwildmatch", gitignore_patterns) print(f"Loaded .gitignore patterns from {gitignore_path}") except Exception as e: print(f"Warning: Could not read or parse .gitignore file {gitignore_path}: {e}") all_files = [] for root, dirs, files in os.walk(directory): # Filter directories using .gitignore and exclude_patterns early excluded_dirs = set() for d in dirs: dirpath_rel = os.path.relpath(os.path.join(root, d), directory) if gitignore_spec and gitignore_spec.match_file(dirpath_rel): excluded_dirs.add(d) continue if exclude_patterns: for pattern in exclude_patterns: if fnmatch.fnmatch(dirpath_rel, pattern) or fnmatch.fnmatch(d, pattern): excluded_dirs.add(d) break for d in dirs.copy(): if d in excluded_dirs: dirs.remove(d) for filename in files: filepath = os.path.join(root, filename) all_files.append(filepath) total_files = len(all_files) processed_files = 0 for filepath in all_files: relpath = os.path.relpath(filepath, directory) if use_relative_paths else filepath # --- Exclusion check --- excluded = False if gitignore_spec and gitignore_spec.match_file(relpath): excluded = True if not excluded and exclude_patterns: for pattern in exclude_patterns: if fnmatch.fnmatch(relpath, pattern): excluded = True break included = False if include_patterns: for pattern in include_patterns: if fnmatch.fnmatch(relpath, pattern): included = True break else: included = True processed_files += 1 # Increment processed count regardless of inclusion/exclusion status = "processed" if not included or excluded: status = "skipped (excluded)" # Print progress for skipped files due to exclusion if total_files > 0: percentage = (processed_files / total_files) * 100 rounded_percentage = int(percentage) print(f"\033[92mProgress: {processed_files}/{total_files} ({rounded_percentage}%) {relpath} [{status}]\033[0m") continue # Skip to next file if not included or excluded if max_file_size and os.path.getsize(filepath) > max_file_size: status = "skipped (size limit)" # Print progress for skipped files due to size limit if total_files > 0: percentage = (processed_files / total_files) * 100 rounded_percentage = int(percentage) print(f"\033[92mProgress: {processed_files}/{total_files} ({rounded_percentage}%) {relpath} [{status}]\033[0m") continue # Skip large files # --- File is being processed --- try: with open(filepath, "r", encoding="utf-8-sig") as f: content = f.read() files_dict[relpath] = content except Exception as e: print(f"Warning: Could not read file {filepath}: {e}") status = "skipped (read error)" # --- Print progress for processed or error files --- if total_files > 0: percentage = (processed_files / total_files) * 100 rounded_percentage = int(percentage) print(f"\033[92mProgress: {processed_files}/{total_files} ({rounded_percentage}%) {relpath} [{status}]\033[0m") return {"files": files_dict} if __name__ == "__main__": print("--- Crawling parent directory ('..') ---") files_data = crawl_local_files( "..", exclude_patterns={ "*.pyc", "__pycache__/*", ".venv/*", ".git/*", "docs/*", "output/*", }, ) print(f"Found {len(files_data['files'])} files:") for path in files_data["files"]: print(f" {path}")