""" This script finds the merger responsible for labeling a PR by a commit SHA. It is used by the workflow in '.github/workflows/pr-labels.yml'. If there exists no PR associated with the commit or the PR is properly labeled, this script is a no-op. Note: we ping the merger only, not the reviewers, as the reviewers can sometimes be external to torchvision with no labeling responsibility, so we don't want to bother them. """ import sys from typing import Any, Optional, Set, Tuple import requests # For a PR to be properly labeled it should have one primary label and one secondary label PRIMARY_LABELS = { "new feature", "bug", "code quality", "enhancement", "bc-breaking", "deprecation", "other", "prototype", } SECONDARY_LABELS = { "dependency issue", "module: c++ frontend", "module: ci", "module: datasets", "module: documentation", "module: io", "module: models.quantization", "module: models", "module: onnx", "module: ops", "module: reference scripts", "module: rocm", "module: tests", "module: transforms", "module: utils", "module: video", "Perf", "Revert(ed)", "topic: build", } def query_torchvision(cmd: str, *, accept) -> Any: response = requests.get(f"https://api.github.com/repos/pytorch/vision/{cmd}", headers=dict(Accept=accept)) return response.json() def get_pr_number(commit_hash: str) -> Optional[int]: # See https://docs.github.com/en/rest/reference/repos#list-pull-requests-associated-with-a-commit data = query_torchvision(f"commits/{commit_hash}/pulls", accept="application/vnd.github.groot-preview+json") if not data: return None return data[0]["number"] def get_pr_merger_and_labels(pr_number: int) -> Tuple[str, Set[str]]: # See https://docs.github.com/en/rest/reference/pulls#get-a-pull-request data = query_torchvision(f"pulls/{pr_number}", accept="application/vnd.github.v3+json") merger = data["merged_by"]["login"] labels = {label["name"] for label in data["labels"]} return merger, labels if __name__ == "__main__": commit_hash = sys.argv[1] pr_number = get_pr_number(commit_hash) if not pr_number: sys.exit(0) merger, labels = get_pr_merger_and_labels(pr_number) is_properly_labeled = bool(PRIMARY_LABELS.intersection(labels) and SECONDARY_LABELS.intersection(labels)) if not is_properly_labeled: print(f"@{merger}")