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