Create summarize_applications.py

Author: reginankenchor

.github/scripts/summarize_applications.py

@@ -0,0 +1,43 @@
+import os
+from github import Github
+import re
+
+# Get token and repo name from environment variables
+GITHUB_TOKEN = os.getenv("GITHUB_TOKEN")
+GITHUB_REPOSITORY = os.getenv("GITHUB_REPOSITORY")  # Example: 'pytorch-fdn/foundation-programs'
+
+# Authenticate with GitHub
+g = Github(GITHUB_TOKEN)
+repo = g.get_repo(GITHUB_REPOSITORY)
+
+# Fetch issues with 'ambassador' label
+issues = repo.get_issues(state='all', labels=['ambassador'])
+
+# Prepare summary content
+summary_lines = []
+summary_lines.append("# PyTorch Ambassador Applications Summary\n\n")
+summary_lines.append(f"**Total Applications**: {issues.totalCount}\n\n")
+summary_lines.append("| Issue # | Nominee Name | Email | Organization | Location |\n")
+summary_lines.append("|--------|--------------|------|--------------|----------|\n")
+
+for issue in issues:
+    body = issue.body
+
+    # Helper to extract values
+    def extract(label):
+        match = re.search(rf"{label}\s*\n\s*(.+)", body)
+        return match.group(1).strip() if match else "Not Provided"
+
+    name = extract("Nominee Name")
+    email = extract("Nominee Email")
+    org = extract("Organization / Affiliation")
+    location = extract("City, State/Province, Country")
+
+    summary_lines.append(f"| {issue.number} | {name} | {email} | {org} | {location} |\n")
+
+# Write summary to SUMMARY.md
+output_file = "SUMMARY.md"
+with open(output_file, "w") as f:
+    f.writelines(summary_lines)
+
+print(f"Summary written to {output_file}")