From 57b0f0c2cd27eaea4e9f6b97bf676117ffc18148 Mon Sep 17 00:00:00 2001
From: Karma Riuk <riukkarma@gmail.com>
Date: Thu, 6 Mar 2025 16:26:33 +0100
Subject: [PATCH] first draft of getting the stats for pull requests

---
 stats_pull_requests.py | 85 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 stats_pull_requests.py

diff --git a/stats_pull_requests.py b/stats_pull_requests.py
new file mode 100644
index 0000000..aaaed11
--- /dev/null
+++ b/stats_pull_requests.py
@@ -0,0 +1,85 @@
+import os, requests
+from datetime import datetime
+import pandas as pd
+import tqdm
+
+COMMON_HEADERS = {
+    'Accept': 'application/vnd.github+json',
+    'Authorization': f'Bearer {os.environ["GITHUB_AUTH_TOKEN_CRAB"]}',
+    'X-Github-Api-Version': '2022-11-28',
+}
+
+def github_call(url, params = {}):
+    result = requests.get(url, headers=COMMON_HEADERS, params=params)
+    if result.status_code != 200:
+        raise Exception(f"Failed to fetch {url}: {result.status_code}, {result = }")
+    return result
+
+def get_pulls(repo_url: str) -> list[dict]:
+    response = github_call(f'{repo_url}/pulls', params={"state": "all"})
+    return response.json()
+
+def has_only_1_round_of_comments(commits: list[dict], comments: list[dict]) -> bool:
+    if len(comments) == 0 or len(commits) == 0:
+        return False
+
+    # Convert timestamps to datetime objects for easy comparison
+    commit_dates = [datetime.fromisoformat(c["commit"]["author"]["date"]) for c in commits]
+    comment_dates = [datetime.fromisoformat(c["created_at"]) for c in comments]
+    commit_dates.sort()
+    comment_dates.sort()
+
+    # Identify the first and last comment times
+    first_comment_time = comment_dates[0]
+    last_comment_time = comment_dates[-1]
+
+    for commit_time in commit_dates:
+        if first_comment_time < commit_time < last_comment_time:
+            return False
+
+    return True
+
+
+def process_pull(repo_name: str, pull_number: str) -> dict:
+    pull = github_call(f"https://api.github.com/repos/{repo_name}/pulls/{pull_number}").json()
+    commits = github_call(f"https://api.github.com/repos/{repo_name}/pulls/{pull_number}/commits").json()
+    comments = github_call(f"https://api.github.com/repos/{repo_name}/pulls/{pull_number}/comments").json()
+
+    return {
+        "repo": repo_name,
+        "pr_number": pull["number"],
+        "additions": pull["additions"],
+        "deletions": pull["deletions"],
+        "changed_files": pull["changed_files"],
+        "has_only_1_round_of_comments": has_only_1_round_of_comments(commits, comments),
+        "has_only_1_comment": len(comments) == 1,
+    }
+
+def process_repo(repo_name: str) -> list[dict]:
+    stats = []
+    pulls = get_pulls(f"https://api.github.com/repos/{repo_name}")
+    for pull in tqdm.tqdm(pulls, desc=repo_name, leave=False):
+        if "merged_at" not in pull or pull["merged_at"] is None:
+            continue
+
+        stats.append(process_pull(repo_name, pull["number"]))
+    return stats
+
+
+def main():
+    repos = pd.read_csv("results.csv")
+    repos = repos[repos["good_repo_for_crab"] == True]
+    print(len(repos))
+    stats = []
+
+    for _, row in tqdm.tqdm(repos.iterrows(), total=len(repos)):
+        if "name" not in row or not isinstance(row["name"], str):
+            continue
+        name = row["name"]
+        stats.extend(process_repo(name))
+
+    pd.DataFrame(stats).to_csv("pr_stats.csv", index=False)
+
+
+if __name__ == "__main__":
+    main()