| name | run2_robust_community_metrics |
| description | Robust Python logic for community pulse metrics with substring label matching and precise PR status handling. |
Robust Community Metrics
This skill focuses on precision and robustness when calculating metrics from GitHub JSON data.
Substring Label Matching (The "Bug" Filter)
To follow the requirement of matching any label containing a substring:
def is_bug_report(issue, substring='bug'):
return any(substring in label['name'].lower() for label in issue.get('labels', []))
Precise PR Status (Merged vs. Closed)
In GitHub, a PR can be open or closed. A closed PR might be merged.
- Merged:
pull_request.merged_at is not null.
- Closed (Unmerged):
state == "closed" AND pull_request.merged_at is null.
Time-to-Merge Calculation
Always use datetime.fromisoformat and handle UTC offsets (replacing 'Z' with '+00:00').
def get_merge_days(created_at_str, merged_at_str):
created = datetime.fromisoformat(created_at_str.replace('Z', '+00:00'))
merged = datetime.fromisoformat(merged_at_str.replace('Z', '+00:00'))
return (merged - created).total_seconds() / (24 * 3600)
Handling Large Data Sets
When dealing with more than 100 items, ensure the processing script can merge multiple JSON files or handle an array of items.
