formatted file

stats_pull_requests.py

@@ -3,17 +3,18 @@ from datetime import datetime
 import pandas as pd
 from tqdm import tqdm
 from github import Github
-from utils import has_only_1_round_of_comments, has_only_1_comment, move_github_logging_to_file
+from utils import has_only_1_round_of_comments, has_only_1_comment, move_logger_to_file
 
 tqdm.pandas()
 
 # Initialize GitHub API client
 g = Github(os.environ["GITHUB_AUTH_TOKEN_CRAB"])
 
+
 def process_pull(repo, pull):
     commits = pull.get_commits()
     comments = pull.get_review_comments()
-    
+
     return {
         "repo": repo.full_name,
         "pr_number": pull.number,
@@ -24,24 +25,26 @@ def process_pull(repo, pull):
         "has_only_1_comment": has_only_1_comment(commits, comments),
     }
 
+
 def process_repo(repo_name):
     repo = g.get_repo(repo_name)
     stats = []
-    
+
     with tqdm(list(repo.get_pulls(state="closed")), desc=repo_name, leave=False) as pbar:
         for pull in pbar:
             pbar.set_postfix({"started at": datetime.now().strftime("%d/%m, %H:%M:%S")})
             if not pull.merged_at:
                 continue
-        
+
             stats.append(process_pull(repo, pull))
     return stats
 
+
 def main():
     repos = pd.read_csv("results.csv")
     repos = repos[(repos["good_repo_for_crab"] == True) & (repos["n_tests"] > 0)]
     stats = []
-    
+
     try:
         for _, row in tqdm(repos.iterrows(), total=len(repos)):
             if "name" not in row or not isinstance(row["name"], str):
@@ -51,6 +54,7 @@ def main():
     finally:
         pd.DataFrame(stats).to_csv("pr_stats.csv", index=False)
 
+
 if __name__ == "__main__":
-    move_github_logging_to_file()
+    move_logger_to_file()
     main()