from __future__ import annotations from datetime import date from pandas import DataFrame from common.commons import * from commitCollector import * from settings import * from otherDatasets import markBugFixingPatches, prepareFiles DATASET_PATH = Path(REPO_PATH) DATASET = os.environ["dataset"] PROJECT_LIST = os.environ["PROJECT_LIST"] def load_commits(repo: str, git_url: str, branch: str) -> DataFrame: """ Load commits of a repo :param repo: Repo name (e.g. "fuse") :param git_url: Git clone url (e.g. "https://github.com/jboss-fuse/fuse.git") :param branch: Git branch (e.g. "6.3.0.redhat") :return: Commits DataFrame """ commits_pickle = Path(join(COMMIT_DFS, f'{repo}-fix.pickle.gz')) # Load existing commits if commits_pickle.is_file(): return pd.read_pickle(commits_pickle) # Clone new commits if not (DATASET_PATH / repo).exists(): shellCallTemplate('git config --global http.postBuffer 157286400') shellCallTemplate(f'git -C {DATASET_PATH} clone {git_url}') logging.info(f'Git repo cloned: {repo}') commits = getCommitFromRepo(join(REPO_PATH, repo), join(COMMIT_DFS, repo), branch) commits = markBugFixingPatches(commits, repo) commits.to_pickle(commits_pickle) return commits def create_dataset(cfg: dict, project_list: str = PROJECT_LIST): """ Create dataset :param cfg: config.yml dictionary :param project_list: Comma-separated list of git project names (projects must exist in dataset.csv) :return: """ pj_list: list[str] = project_list.split(',') # Ensure directories exist DATASET_PATH.mkdir(exist_ok=True, parents=True) if not os.path.exists(COMMIT_DFS): os.mkdir(COMMIT_DFS) # Find project repo urls in dataset.csv dataset: DataFrame = pd.read_csv(join(ROOT_DIR, 'data', 'dataset.csv')) if pj_list == ['ALL']: repos = dataset[['Repo', 'GitRepo', 'Branch']].values.tolist() else: repos = dataset[dataset.Repo.isin(pj_list)][['Repo', 'GitRepo', 'Branch']].values.tolist() # Loop through repos for repo, src, branch in repos: print(f'Processing {repo}') commits = load_commits(repo, src, branch) print(f'> Obtained {len(commits)} commits.') # keep only commits that has moves commits = commits[[any(c == 'M' for c in dic.values()) for dic in commits.files]] # keep only commits that are changing java files (.java) commits = commits[[all(k.endswith('.java') for k in dic) for dic in commits.files]] # not a revert commit # commits = commits[~commits.log.apply(lambda x: x.startswith('Revert'))] # commits = commits[commits.files.apply(lambda x: len(x) == 1)] # commits['cocci'] = commits.log.apply(lambda x: True if re.search('cocci|coccinelle', x) else False) # coccis = commits[commits.cocci].commit.values.tolist() fixes = commits[commits.fixes.str.len() != 0].commit.values.tolist() # Filter end dates if configured if 'limitCommitsBeforeDays' in cfg['fixminer']: value = eval(str(cfg['fixminer']['limitCommitsBeforeDays'])) latest_commit = commits.commitDate.iloc[0] if isinstance(value, datetime.timedelta): end_date = latest_commit - value elif isinstance(value, float) or isinstance(value, int): end_date = latest_commit - datetime.timedelta(days=value) else: raise NotImplementedError(f'Unknown limitCommitsBeforeDays type: {type(value)}. ' f'Only timedelta and int/float (days) are supported.') print(f'> Has {len(commits)} comments before filtering for date < {end_date}') commits = commits[commits.commitDate < end_date] commits = commits[commits.commit.isin(fixes)] print(f'> Has {len(commits)} comments after filtering') parallelRun(prepareFiles, commits[['commit', 'files']].values.tolist(), repo)