endorsement_velocity_summary script (#24618)

fixes #20938

.github/workflows/issues-summary.yml

@@ -0,0 +1,29 @@
+name: Issues Summary
+
+on:
+  schedule:
+    - cron: '0 0 * * 2' # Runs every Tuesday at midnight
+  workflow_dispatch:
+
+jobs:
+  generate-summary:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: '3.x'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install requests
+
+      - name: Run summary script
+        run: python scripts/generate_summary.py
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

scripts/generate_summary.py

@@ -0,0 +1,46 @@
+import requests
+import os
+from datetime import datetime, timezone
+
+GITHUB_API_URL = "https://api.github.com"
+REPO = "microsoft/vscode-python"
+TOKEN = os.getenv("GITHUB_TOKEN")
+
+
+def fetch_issues():
+    headers = {"Authorization": f"token {TOKEN}"}
+    query = f"{GITHUB_API_URL}/repos/{REPO}/issues?state=open&per_page=100"
+    response = requests.get(query, headers=headers)
+    response.raise_for_status()
+    return response.json()
+
+
+def calculate_thumbs_up_per_day(issue):
+    created_at = datetime.strptime(issue["created_at"], "%Y-%m-%dT%H:%M:%SZ")
+    now = datetime.now(timezone.utc)
+    days_open = (now - created_at).days or 1
+    thumbs_up = next(
+        (group["count"] for group in issue["reactions"] if group["content"] == "+1"), 0
+    )
+    return thumbs_up / days_open
+
+
+def generate_markdown_summary(issues):
+    summary = "| URL | Title | 👍/day |\n| --- | ----- | ------ |\n"
+    for issue in issues:
+        thumbs_up_per_day = calculate_thumbs_up_per_day(issue)
+        summary += (
+            f"| {issue['html_url']} | {issue['title']} | {thumbs_up_per_day:.2f} |\n"
+        )
+    return summary
+
+
+def main():
+    issues = fetch_issues()
+    summary = generate_markdown_summary(issues)
+    with open("endorsement_velocity_summary.md", "w") as f:
+        f.write(summary)
+
+
+if __name__ == "__main__":
+    main()