Initial upload: git-insights-cli with CI/CD workflow
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64
src/analyzers/commit_pattern.py
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64
src/analyzers/commit_pattern.py
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from collections import defaultdict
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from dataclasses import dataclass
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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from src.analyzers.git_repository import GitRepository
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from src.models.data_structures import Author, CommitAnalysis
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@dataclass
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class CommitPatternAnalyzer:
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"""Analyzes commit patterns."""
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repo: GitRepository
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days: int
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def analyze(self) -> Optional[CommitAnalysis]:
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"""Analyze commit patterns."""
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commits = self.repo.get_commits()
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if not commits:
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return None
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commits_by_hour: Dict[str, int] = defaultdict(int)
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commits_by_day: Dict[str, int] = defaultdict(int)
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commits_by_week: Dict[str, int] = defaultdict(int)
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author_commits: Dict[str, List[str]] = defaultdict(list)
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for commit in commits:
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hour_key = commit.timestamp.strftime("%H:00")
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day_key = commit.timestamp.strftime("%A")
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week_key = commit.timestamp.strftime("%Y-W%U")
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commits_by_hour[hour_key] += 1
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commits_by_day[day_key] += 1
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commits_by_week[week_key] += 1
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author_commits[commit.author_email].append(commit.sha)
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authors = []
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for email, commit_shas in author_commits.items():
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author = self.repo.get_authors()
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for a in author:
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if a.email == email:
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a.commit_count = len(commit_shas)
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authors.append(a)
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break
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authors.sort(key=lambda a: a.commit_count, reverse=True)
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top_authors = authors[:10]
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total_days = max(1, self.days)
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avg_commits_per_day = len(commits) / total_days
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return CommitAnalysis(
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total_commits=len(commits),
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unique_authors=len(authors),
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commits_by_hour=dict(commits_by_hour),
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commits_by_day=dict(commits_by_day),
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commits_by_week=dict(commits_by_week),
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top_authors=top_authors,
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average_commits_per_day=avg_commits_per_day,
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)
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