Download _script_for_gen.py from patched-codes/generate-readme-eval: direct link, hf CLI and curl.
- Browser
- Download file 4.31 kB
-
https://huggingface.co/datasets/patched-codes/generate-readme-eval/resolve/refs%2Fpr%2F3/_script_for_gen.py
- Command line
-
hf download hf://datasets/patched-codes/generate-readme-eval@refs/pr/3/_script_for_gen.py
-
curl -L -o _script_for_gen.py https://huggingface.co/datasets/patched-codes/generate-readme-eval/resolve/refs%2Fpr%2F3/_script_for_gen.py
4.31 kB
| import os | |
| import subprocess | |
| import json | |
| import logging | |
| from github import Github | |
| import tiktoken | |
| from pathlib import Path | |
| import shutil | |
| # Set up logging | |
| logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') | |
| # Initialize GitHub client | |
| github_token = os.getenv('GITHUB_TOKEN') | |
| if not github_token: | |
| raise ValueError("GITHUB_TOKEN environment variable is not set") | |
| g = Github(github_token) | |
| # Initialize tokenizer | |
| tokenizer = tiktoken.get_encoding("cl100k_base") | |
| def clone_repo(repo_url, repo_name): | |
| tmp_dir = f"/tmp/{repo_name}" | |
| subprocess.run(["git", "clone", "--depth", "1", repo_url, tmp_dir], check=True) | |
| return tmp_dir | |
| def get_repo_content(repo_dir): | |
| content = [] | |
| for root, dirs, files in os.walk(repo_dir): | |
| if "test" in root.lower() or "example" in root.lower(): | |
| continue | |
| for file in files: | |
| if file.endswith('.py'): | |
| file_path = os.path.join(root, file) | |
| relative_path = os.path.relpath(file_path, repo_dir) | |
| with open(file_path, 'r') as f: | |
| file_content = f.read() | |
| content.append(f"File: {relative_path}\n\n{file_content}\n\n") | |
| return "\n".join(content) | |
| def count_tokens(text): | |
| return len(tokenizer.encode(text)) | |
| def process_repo(repo): | |
| repo_name = repo.name | |
| repo_url = repo.clone_url | |
| logging.info(f"Processing repository: {repo_name}") | |
| try: | |
| tmp_dir = clone_repo(repo_url, repo_name) | |
| readme_path = os.path.join(tmp_dir, "README.md") | |
| if not os.path.exists(readme_path): | |
| logging.info(f"README.md not found in {repo_name}") | |
| return None | |
| repo_content = get_repo_content(tmp_dir) | |
| if count_tokens(repo_content) >= 100000: | |
| logging.info(f"Repository {repo_name} content exceeds 100k tokens") | |
| return None | |
| with open(readme_path, 'r') as f: | |
| readme_content = f.read() | |
| repo_commit = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=tmp_dir).decode().strip() | |
| return { | |
| "repo_name": repo_name, | |
| "repo_commit": repo_commit, | |
| "repo_content": repo_content, | |
| "repo_readme": readme_content | |
| } | |
| except Exception as e: | |
| logging.error(f"Error processing repository {repo_name}: {str(e)}") | |
| return None | |
| finally: | |
| if 'tmp_dir' in locals(): | |
| shutil.rmtree(tmp_dir) | |
| def load_existing_data(filename): | |
| existing_data = {} | |
| if os.path.exists(filename): | |
| with open(filename, "r") as f: | |
| for line in f: | |
| item = json.loads(line) | |
| existing_data[item['repo_name']] = item | |
| return existing_data | |
| def save_dataset(filename, dataset, mode='a'): | |
| with open(filename, mode) as f: | |
| for item in dataset: | |
| json.dump(item, f) | |
| f.write("\n") | |
| def main(): | |
| g = Github(os.getenv('GITHUB_TOKEN')) | |
| filename = "generate-readme-eval.jsonl" | |
| existing_data = load_existing_data(filename) | |
| new_dataset = [] | |
| updated_count = 0 | |
| skipped_count = 0 | |
| repos = g.search_repositories(query="language:python stars:>1000 forks:>100", sort="stars", order="desc") | |
| for i, repo in enumerate(repos[200:400]): | |
| if repo.full_name in existing_data: | |
| existing_item = existing_data[repo.full_name] | |
| if existing_item['repo_commit'] == repo.get_commits()[0].sha: | |
| skipped_count += 1 | |
| logging.info(f"Skipped {repo.full_name}: Already processed with same commit") | |
| continue | |
| else: | |
| logging.info(f"Updating {repo.full_name}: Commit changed") | |
| updated_count += 1 | |
| item = process_repo(repo) | |
| if item: | |
| new_dataset.append(item) | |
| if i % 10 == 0: | |
| logging.info(f"Processed {i+1} repositories") | |
| # Append new and updated items to the file | |
| save_dataset(filename, new_dataset, mode='a') | |
| logging.info(f"Dataset updated with {len(new_dataset)} new/updated items") | |
| logging.info(f"Skipped {skipped_count} repositories (no changes)") | |
| logging.info(f"Updated {updated_count} repositories") | |
| if __name__ == "__main__": | |
| main() | |