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removed useless paramater

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Karma Riuk
2025-03-14 14:04:50 +01:00
parent cc8cb7ef52
commit 8e1bbd15ff
1 changed files with 6 additions and 8 deletions
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14
pull_requests.py
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@ -11,19 +11,17 @@ from dataset import Dataset, DatasetEntry, FileData, Metadata, Diff
from utils import has_only_1_comment from utils import has_only_1_comment
def get_good_projects(csv_file: str, verbose: bool = False) -> pd.DataFrame: def get_good_projects(csv_file: str) -> pd.DataFrame:
""" """
Extracts the good (the ones that compile and test successfully, and that Extracts the good (the ones that compile and test successfully, and that
have at least one test) from the given file. have at least one test) from the given file.
Parameters: Parameters:
csv_file (str): The csv file containing the projects. csv_file (str): The csv file containing the projects.
verbose (bool): Whether to print the number of good projects.
Returns: Returns:
pd.DataFrame: The good projects. pd.DataFrame: The good projects.
""" """
if verbose: print(f"Reading {csv_file}...")
df = pd.read_csv(csv_file) df = pd.read_csv(csv_file)
return df.loc[(df['good_repo_for_crab'] == True) & (df['n_tests'] > 0)] return df.loc[(df['good_repo_for_crab'] == True) & (df['n_tests'] > 0)]
@ -83,7 +81,7 @@ def process_pull(repo: Repository, pr: PullRequest, dataset: Dataset):
diffs_after=diffs_after, diffs_after=diffs_after,
)) ))
def process_repo(repo_name: str, stats_df: Optional[pd.DataFrame], dataset: Dataset, verbose: bool = False): def process_repo(repo_name: str, stats_df: Optional[pd.DataFrame], dataset: Dataset):
good_prs = [] good_prs = []
repo = g.get_repo(repo_name) repo = g.get_repo(repo_name)
good_prs = get_good_prs(repo, stats_df) good_prs = get_good_prs(repo, stats_df)
@ -91,7 +89,7 @@ def process_repo(repo_name: str, stats_df: Optional[pd.DataFrame], dataset: Data
for pr in tqdm(good_prs, desc="Processing good prs", leave=False): for pr in tqdm(good_prs, desc="Processing good prs", leave=False):
process_pull(repo, pr, dataset) process_pull(repo, pr, dataset)
def process_repos(csv_file: str, stats_csv: Optional[str], dataset: Dataset, verbose: bool = False): def process_repos(csv_file: str, stats_csv: Optional[str], dataset: Dataset):
""" """
Processes the repos in the given csv file, extracting the good ones and Processes the repos in the given csv file, extracting the good ones and
creating the "triplets" for the dataset. creating the "triplets" for the dataset.
@ -102,7 +100,7 @@ def process_repos(csv_file: str, stats_csv: Optional[str], dataset: Dataset, ver
Passing it by reference in order have the latest information, in case of an error Passing it by reference in order have the latest information, in case of an error
verbose (bool): Whether to be verbose or not verbose (bool): Whether to be verbose or not
""" """
df = get_good_projects(csv_file, verbose=verbose) df = get_good_projects(csv_file)
stats_df = pd.read_csv(stats_csv) if stats_csv is not None else None stats_df = pd.read_csv(stats_csv) if stats_csv is not None else None
already_processed_repos = [] already_processed_repos = []
potentially_good_repos = [] potentially_good_repos = []
@ -131,7 +129,7 @@ if __name__ == "__main__":
parser.add_argument('csv_file', type=str, help='The csv file containing the projects (the results from clone_repos.py).') parser.add_argument('csv_file', type=str, help='The csv file containing the projects (the results from clone_repos.py).')
parser.add_argument('-o', '--output', type=str, default="./dataset.json", help='The file in which the dataset will be contained. Default is "./dataset.json"') parser.add_argument('-o', '--output', type=str, default="./dataset.json", help='The file in which the dataset will be contained. Default is "./dataset.json"')
parser.add_argument('-s', '--stats', type=str, help="The name of the output file from the stats_pull_requests.py. The stats file already knows which PRs are good (the ones with only 1 comment between two rounds of commits), so instead of going through all of PRs of a repo, we can fast-track using this. If the repo isn't in the stats file, we must go through each PR") parser.add_argument('-s', '--stats', type=str, help="The name of the output file from the stats_pull_requests.py. The stats file already knows which PRs are good (the ones with only 1 comment between two rounds of commits), so instead of going through all of PRs of a repo, we can fast-track using this. If the repo isn't in the stats file, we must go through each PR")
parser.add_argument('-v', '--verbose', action='store_true', help='Prints the number of good projects.') # parser.add_argument('-v', '--verbose', action='store_true', help='Prints the number of good projects.')
args = parser.parse_args() args = parser.parse_args()
g = Github(os.environ["GITHUB_AUTH_TOKEN_CRAB"]) g = Github(os.environ["GITHUB_AUTH_TOKEN_CRAB"])
@ -139,6 +137,6 @@ if __name__ == "__main__":
dataset = Dataset() dataset = Dataset()
try: try:
# try and finally to save, regardless of an error occuring or the program finished correctly # try and finally to save, regardless of an error occuring or the program finished correctly
process_repos(args.csv_file, args.stats, dataset, verbose=args.verbose) process_repos(args.csv_file, args.stats, dataset)
finally: finally:
dataset.to_json(args.output) dataset.to_json(args.output)