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eeymoo
2026-09-19 12:54:45 +08:00
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"""Git repository parsing and commit candidate selection."""
from dataclasses import dataclass
from pathlib import Path
from typing import List, Optional
from git import Repo
@dataclass
class CommitCandidate:
repo: str
sha: str
message: str
author: str
date: str
stats: dict
files: List[dict]
def list_commits(
repo_path: str | Path,
max_count: Optional[int] = None,
reverse: bool = True,
) -> List[CommitCandidate]:
"""List commits from a Git repository."""
repo = Repo(str(repo_path))
repo_name = Path(repo_path).name
commits = []
iterator = list(repo.iter_commits())
if reverse:
iterator = reversed(iterator)
for commit in iterator:
if max_count and len(commits) >= max_count:
break
stats = commit.stats.total
files = []
for item in commit.stats.files.items():
filename, file_stats = item
files.append(
{
"path": filename,
"insertions": file_stats["insertions"],
"deletions": file_stats["deletions"],
"lines": file_stats["lines"],
}
)
commits.append(
CommitCandidate(
repo=repo_name,
sha=commit.hexsha,
message=commit.message.strip(),
author=str(commit.author),
date=commit.committed_datetime.isoformat(),
stats=stats,
files=files,
)
)
return commits
def score_commit(commit: CommitCandidate) -> float:
"""Score a commit by size, message quality, and language diversity."""
total_lines = commit.stats.get("lines", 0)
# Prefer moderate size: ~50-200 lines ideal
size_score = 1.0 - abs(total_lines - 125) / 200.0
size_score = max(0.0, min(1.0, size_score))
# Message quality: length and presence of verb/noun clues
msg = commit.message.lower()
msg_score = min(1.0, len(commit.message) / 40.0)
if any(k in msg for k in ("fix", "bug", "refactor", "feature", "add", "update")):
msg_score = min(1.0, msg_score + 0.2)
# Language diversity bonus based on file extensions
exts = {Path(f["path"]).suffix.lower() for f in commit.files if Path(f["path"]).suffix}
diversity_score = min(1.0, len(exts) / 3.0)
return size_score * 0.5 + msg_score * 0.3 + diversity_score * 0.2
def select_candidates(
repo_path: str | Path,
count: int = 12,
languages: Optional[List[str]] = None,
scan_limit: int = 300,
) -> List[CommitCandidate]:
"""Select top-scoring commits, optionally balanced by language.
Only the most recent ``scan_limit`` commits are scanned: computing
per-commit stats spawns a git subprocess each time, so scanning the full
history of a large repository is prohibitively slow.
"""
languages = languages or ["python", "java", "javascript"]
commits = list_commits(repo_path, max_count=scan_limit, reverse=False)
scored = [(c, score_commit(c)) for c in commits]
scored.sort(key=lambda x: x[1], reverse=True)
# Simple balancing: prefer at least one commit per target language when detectable
by_lang = {lang: [] for lang in languages}
others = []
for commit, score in scored:
ext_set = {Path(f["path"]).suffix.lower() for f in commit.files}
placed = False
for lang in languages:
hint = ".py" if lang == "python" else ".java" if lang == "java" else ".js"
if hint in ext_set:
by_lang[lang].append((commit, score))
placed = True
break
if not placed:
others.append((commit, score))
result = []
per_lang = max(1, count // len(languages))
for lang in languages:
result.extend(by_lang[lang][:per_lang])
result.extend(others)
result = result[:count]
result.sort(key=lambda x: x[1], reverse=True)
return [c for c, _ in result]