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feat: categorize_issues.py now accepts a full github search URL as input instead of a raw query string

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Coco Sheng
2026-05-06 16:32:59 -04:00
parent 374e4713d8
commit fb236ea0e2
2 changed files with 25 additions and 9 deletions
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scripts/backlog-analysis/README.md
+4 -4
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@@ -23,12 +23,12 @@ correct types (`bug` or `feature`) directly on GitHub, and then fetch the data
into a local JSON file for analysis.
**A) Auto-Categorize on GitHub:** We provide a dedicated Python script that will
automatically fetch uncategorized issues matching your search query, classify
them using the Gemini API, and apply the correct labels and title prefixes
(`[Bug]` or `[Feature]`) directly on GitHub.
automatically fetch uncategorized issues matching your search URL, classify them
using the Gemini API, and apply the correct labels and title prefixes (`[Bug]`
or `[Feature]`) directly on GitHub.
```bash
python3 categorize_issues.py --api-key "YOUR_KEY" --search "repo:google-gemini/gemini-cli -label:type/bug -label:type/feature is:open" --limit 50
python3 categorize_issues.py "https://github.com/google-gemini/gemini-cli/issues/?q=-label:type/bug+-label:type/feature+is:open" --api-key "YOUR_KEY" --limit 50
```
**B) Export to JSON:** Once the issues are correctly labeled on GitHub, fetch
scripts/backlog-analysis/categorize_issues.py
+21 -5
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@@ -1,8 +1,9 @@
"""
Purpose: Automatically categorizes GitHub issues as 'bug' or 'feature' and applies the corresponding label on GitHub.
It fetches issues matching a search query, uses the Gemini API to classify them, and runs 'gh issue edit' to update GitHub.
It fetches issues matching a search URL, uses the Gemini API to classify them, and runs 'gh issue edit' to update GitHub.
"""
import argparse
import urllib.parse
import urllib.request
import json
import subprocess
@@ -80,14 +81,29 @@ def process_issue(issue, api_key):
print(f"Error labeling #{issue['number']}: {e.stderr}", file=sys.stderr)
def main():
parser = argparse.ArgumentParser(description="Auto-categorize GitHub issues (bug vs feature) and apply labels on GitHub.")
parser = argparse.ArgumentParser(description="Auto-categorize GitHub issues (bug vs feature) from a GitHub URL and apply labels on GitHub.")
parser.add_argument("url", help="The full GitHub Issues search URL (e.g., https://github.com/.../issues/?q=...)")
parser.add_argument("--api-key", required=True, help="Gemini API Key")
parser.add_argument("--search", required=True, help="GitHub search query for issues to categorize")
parser.add_argument("--limit", type=int, default=50, help="Maximum number of issues to process")
args = parser.parse_args()
print(f"Fetching issues matching: '{args.search}'")
issues = fetch_issues(args.search, args.limit)
parsed_url = urllib.parse.urlparse(args.url)
query_params = urllib.parse.parse_qs(parsed_url.query)
if 'q' in query_params:
search_query = query_params['q'][0]
else:
print("Warning: No 'q=' search parameter found in URL. Fetching default open issues.")
search_query = "is:issue is:open"
if 'repo:' not in search_query:
path_parts = [p for p in parsed_url.path.split('/') if p]
if len(path_parts) >= 2:
repo = f"{path_parts[0]}/{path_parts[1]}"
search_query = f"repo:{repo} {search_query}"
print(f"Fetching issues matching: '{search_query}'")
issues = fetch_issues(search_query, args.limit)
if not issues:
print("No issues found matching the query.")
return