Merge branch 'main' of http://113.45.157.195:3003/insiinc/re-mooc
This commit is contained in:
ditiqi
commit
b0267837ae
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@ -1,4 +1,5 @@
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import { Input, Button } from "antd";
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||||
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||||
import { Input, Layout, Avatar, Button, Dropdown } from "antd";
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import {
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EditFilled,
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PlusOutlined,
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|
@ -10,7 +11,6 @@ import { useNavigate, useParams, useSearchParams } from "react-router-dom";
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import { UserMenu } from "./UserMenu/UserMenu";
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import { NavigationMenu } from "./NavigationMenu";
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import { useMainContext } from "./MainProvider";
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export function MainHeader() {
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const { isAuthenticated, user } = useAuth();
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const { id } = useParams();
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@ -74,8 +74,8 @@ export function MainHeader() {
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: "/course/editor";
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navigate(url);
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}}
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className="flex items-center space-x-1 bg-gradient-to-r from-blue-500 to-blue-600 text-white hover:from-blue-600 hover:to-blue-700 border-none shadow-md hover:shadow-lg transition-all"
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icon={<EditFilled />}>
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type="primary"
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>
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{id ? "编辑课程" : "创建课程"}
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</Button>
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</>
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@ -104,3 +104,4 @@ export function MainHeader() {
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</div>
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);
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}
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|
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@ -160,8 +160,3 @@
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border-bottom: none;
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/* 去除最后一行的底部边框 */
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}
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.mind-editor {
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height: calc(82vh);
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width: 100%;
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}
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|
@ -226,8 +226,6 @@ model Post {
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ancestors PostAncestry[] @relation("DescendantPosts")
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descendants PostAncestry[] @relation("AncestorPosts")
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resources Resource[] // 附件列表
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// watchableStaffs Staff[] @relation("post_watch_staff")
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// watchableDepts Department[] @relation("post_watch_dept") // 可观看的部门列表，关联 Department 模型
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meta Json? // 封面url 视频url objectives具体的学习目标 rating评分Int
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// 索引
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|
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@ -1,503 +0,0 @@
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import statistics
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from git import Repo
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from collections import defaultdict, Counter
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from datetime import datetime, timedelta
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import os
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def get_contributor_stats(repo_path, start_date=None, end_date=None, branch='HEAD'):
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"""
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获取仓库贡献者的详细统计信息
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Args:
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repo_path: Git仓库路径
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start_date: 开始日期（可选）
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end_date: 结束日期（可选）
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branch: 要分析的分支（默认为HEAD）
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Returns:
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包含每个贡献者详细统计信息的字典
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"""
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# 初始化仓库对象
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repo = Repo(repo_path)
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# 存储统计结果
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stats = defaultdict(lambda: {
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'additions': 0, # 添加的行数
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'deletions': 0, # 删除的行数
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'commits': 0, # 提交次数
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'files_modified': set(), # 修改过的文件集合
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'file_types': defaultdict(int),# 各类型文件的修改次数
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'commit_dates': set(), # 提交日期集合
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'commit_hours': defaultdict(int), # 提交小时分布
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'commit_weekdays': defaultdict(int), # 提交工作日分布
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'largest_commit': 0, # 最大单次提交修改量
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'first_commit': None, # 首次提交时间
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'last_commit': None, # 最近提交时间
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'commit_sizes': [], # 每次提交的大小，用于计算平均值和中位数
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'commit_messages': [], # 提交消息列表
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'commit_message_lengths': [], # 提交消息长度列表
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'directories_modified': set(), # 修改过的目录集合
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'co_authors': set(), # 合作者集合
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'impact_score': 0, # 影响力得分
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'complexity_score': 0, # 复杂度得分
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'commit_by_month': defaultdict(int), # 按月份统计的提交次数
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'commit_by_quarter': defaultdict(int), # 按季度统计的提交次数
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'commit_by_year': defaultdict(int), # 按年份统计的提交次数
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'commit_by_week': defaultdict(int), # 按周统计的提交次数
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'file_operations': { # 文件操作统计
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'created': set(), # 创建的文件
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'deleted': set(), # 删除的文件
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'modified': set(), # 修改的文件
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},
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'review_comments': 0, # 代码审查评论数（如果可用）
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'merge_commits': 0, # 合并提交数
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'commit_streak': 0, # 最长连续提交天数
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'current_streak': 0, # 当前连续提交天数
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'contribution_days': [], # 所有贡献的日期列表（用于热图）
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'code_churn': 0, # 代码周转率（添加后又删除的代码）
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'file_ownership': {}, # 文件所有权百分比
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'key_files_modified': set(), # 修改过的关键文件
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'refactoring_commits': 0, # 重构提交数（基于提交消息分析）
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'bug_fix_commits': 0, # 修复bug的提交数
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'feature_commits': 0, # 新功能提交数
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'documentation_commits': 0, # 文档相关提交数
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'commit_size_distribution': defaultdict(int), # 提交大小分布
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'collaboration_score': 0, # 协作得分
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'consistency_score': 0, # 一致性得分
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'expertise_areas': defaultdict(float), # 专业领域（目录/语言）
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})
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# 存储所有文件的修改者，用于计算协作指标
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file_authors = defaultdict(set)
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# 存储项目文件的重要性权重 (基于修改频率)
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file_importance = Counter()
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# 存储用于检测关键词的正则表达式
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import re
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refactor_pattern = re.compile(r'refactor|重构', re.IGNORECASE)
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bugfix_pattern = re.compile(r'fix|修复|bug|问题|issue|错误', re.IGNORECASE)
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feature_pattern = re.compile(r'feature|功能|新增|add|实现', re.IGNORECASE)
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docs_pattern = re.compile(r'doc|文档|注释|comment', re.IGNORECASE)
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# 记录每位贡献者的提交日期，用于计算连续贡献天数
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author_commit_days = defaultdict(set)
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# 定义关键文件路径模式 (可以根据项目自定义)
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key_file_patterns = [
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re.compile(r'package\.json$'),
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re.compile(r'docker-compose\.yml$'),
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re.compile(r'Dockerfile$'),
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re.compile(r'tsconfig\..*\.json$'),
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re.compile(r'/src/index\.[jt]s$'),
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re.compile(r'README\.md$'),
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re.compile(r'\.env'),
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||||
re.compile(r'/main\.[jt]s$'),
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re.compile(r'/app\.[jt]s$'),
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]
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# 遍历所有提交
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for commit in repo.iter_commits(branch):
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||||
# 过滤日期
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||||
commit_date = datetime.fromtimestamp(commit.committed_date)
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||||
if start_date and commit_date < start_date:
|
||||
continue
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||||
if end_date and commit_date > end_date:
|
||||
continue
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||||
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||||
author = commit.author.name
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||||
stats[author]['commits'] += 1
|
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|
||||
# 记录提交日期和时间
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commit_day = commit_date.date()
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stats[author]['commit_dates'].add(commit_day)
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stats[author]['contribution_days'].append(commit_day) # 用于热图
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||||
stats[author]['commit_hours'][commit_date.hour] += 1
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stats[author]['commit_weekdays'][commit_date.weekday()] += 1
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||||
# 添加到作者的提交日集合
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author_commit_days[author].add(commit_day)
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||||
# 按时间段统计
|
||||
year = commit_date.year
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||||
month = commit_date.month
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||||
quarter = (month - 1) // 3 + 1
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week_num = commit_date.isocalendar()[1]
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stats[author]['commit_by_year'][year] += 1
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||||
stats[author]['commit_by_month'][f"{year}-{month:02d}"] += 1
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stats[author]['commit_by_quarter'][f"{year}-Q{quarter}"] += 1
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stats[author]['commit_by_week'][f"{year}-W{week_num:02d}"] += 1
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||||
|
||||
# 分析提交消息，对提交进行分类
|
||||
commit_message = commit.message.strip()
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if refactor_pattern.search(commit_message):
|
||||
stats[author]['refactoring_commits'] += 1
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if bugfix_pattern.search(commit_message):
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stats[author]['bug_fix_commits'] += 1
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if feature_pattern.search(commit_message):
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stats[author]['feature_commits'] += 1
|
||||
if docs_pattern.search(commit_message):
|
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stats[author]['documentation_commits'] += 1
|
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||||
# 记录首次和最近提交
|
||||
if stats[author]['first_commit'] is None or commit_date < stats[author]['first_commit']:
|
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stats[author]['first_commit'] = commit_date
|
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if stats[author]['last_commit'] is None or commit_date > stats[author]['last_commit']:
|
||||
stats[author]['last_commit'] = commit_date
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# 记录提交消息
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commit_message = commit.message.strip()
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stats[author]['commit_messages'].append(commit_message)
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stats[author]['commit_message_lengths'].append(len(commit_message))
|
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# 检测是否为合并提交
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if len(commit.parents) > 1:
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stats[author]['merge_commits'] += 1
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# 统计添加和删除的行数
|
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total_changes = 0
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||||
modified_files = set()
|
||||
created_files = set()
|
||||
deleted_files = set()
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||||
directories = set()
|
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|
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# 尝试获取提交前后的差异，以确定文件操作类型
|
||||
try:
|
||||
if commit.parents:
|
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parent = commit.parents[0]
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||||
diffs = parent.diff(commit)
|
||||
for diff_item in diffs:
|
||||
if diff_item.new_file:
|
||||
if diff_item.b_path:
|
||||
created_files.add(diff_item.b_path)
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||||
elif diff_item.deleted_file:
|
||||
if diff_item.a_path:
|
||||
deleted_files.add(diff_item.a_path)
|
||||
else:
|
||||
if diff_item.a_path:
|
||||
modified_files.add(diff_item.a_path)
|
||||
else:
|
||||
# 对于首次提交，所有文件都是新创建的
|
||||
for file_path in commit.stats.files:
|
||||
created_files.add(file_path)
|
||||
except Exception as e:
|
||||
# 如果获取差异失败，退回到简单的文件修改统计
|
||||
modified_files = set(commit.stats.files.keys())
|
||||
|
||||
for file_path, item in commit.stats.files.items():
|
||||
# 统计文件类型
|
||||
_, ext = os.path.splitext(file_path)
|
||||
if ext: # 确保扩展名不为空
|
||||
stats[author]['file_types'][ext] += 1
|
||||
else:
|
||||
stats[author]['file_types']['no_extension'] += 1
|
||||
|
||||
# 记录目录
|
||||
directory = os.path.dirname(file_path)
|
||||
if directory:
|
||||
directories.add(directory)
|
||||
|
||||
# 记录修改的文件
|
||||
modified_files.add(file_path)
|
||||
|
||||
# 记录文件的修改者，用于计算协作指标
|
||||
file_authors[file_path].add(author)
|
||||
|
||||
# 统计添加和删除的行数
|
||||
stats[author]['additions'] += item['insertions']
|
||||
stats[author]['deletions'] += item['deletions']
|
||||
total_changes += item['insertions'] + item['deletions']
|
||||
|
||||
# 更新修改过的文件和目录集合
|
||||
stats[author]['files_modified'].update(modified_files)
|
||||
stats[author]['directories_modified'].update(directories)
|
||||
stats[author]['file_operations']['created'].update(created_files)
|
||||
stats[author]['file_operations']['deleted'].update(deleted_files)
|
||||
stats[author]['file_operations']['modified'].update(modified_files - created_files - deleted_files)
|
||||
|
||||
# 记录本次提交的修改量
|
||||
stats[author]['commit_sizes'].append(total_changes)
|
||||
|
||||
# 记录提交大小分布
|
||||
commit_size_category = "小型(1-10行)" if total_changes <= 10 else \
|
||||
"中型(11-100行)" if total_changes <= 100 else \
|
||||
"大型(101-500行)" if total_changes <= 500 else \
|
||||
"超大型(500+行)"
|
||||
stats[author]['commit_size_distribution'][commit_size_category] += 1
|
||||
|
||||
# 更新最大单次提交修改量
|
||||
if total_changes > stats[author]['largest_commit']:
|
||||
stats[author]['largest_commit'] = total_changes
|
||||
|
||||
# 检查修改的文件是否为关键文件
|
||||
for file_path in modified_files:
|
||||
for pattern in key_file_patterns:
|
||||
if pattern.search(file_path):
|
||||
stats[author]['key_files_modified'].add(file_path)
|
||||
break
|
||||
|
||||
# 更新文件重要性权重
|
||||
for file_path in modified_files:
|
||||
file_importance[file_path] += 1
|
||||
|
||||
# 计算影响力得分 (基于修改的文件数和总修改行数)
|
||||
impact = total_changes * len(modified_files) / 100 if modified_files else 0
|
||||
stats[author]['impact_score'] += impact
|
||||
|
||||
# 计算文件协作度和文件所有权
|
||||
for file_path, authors in file_authors.items():
|
||||
# 如果只有一个作者修改了文件，则该作者100%拥有此文件
|
||||
if len(authors) == 1:
|
||||
author = next(iter(authors))
|
||||
if 'file_ownership' not in stats[author]:
|
||||
stats[author]['file_ownership'] = {}
|
||||
stats[author]['file_ownership'][file_path] = 100.0
|
||||
else:
|
||||
# 如果多个作者修改了文件，则按照每个作者的修改比例计算所有权
|
||||
for author in authors:
|
||||
# 简化处理：平均分配所有权
|
||||
ownership_percent = 100.0 / len(authors)
|
||||
if 'file_ownership' not in stats[author]:
|
||||
stats[author]['file_ownership'] = {}
|
||||
stats[author]['file_ownership'][file_path] = ownership_percent
|
||||
|
||||
# 计算每个作者的连续提交天数
|
||||
for author, commit_days in author_commit_days.items():
|
||||
if not commit_days:
|
||||
continue
|
||||
|
||||
# 按日期排序
|
||||
sorted_days = sorted(commit_days)
|
||||
|
||||
# 计算最长提交连续天数
|
||||
current_streak = 1
|
||||
max_streak = 1
|
||||
|
||||
for i in range(1, len(sorted_days)):
|
||||
# 如果当前日期与前一天相差正好一天，则增加连续计数
|
||||
if (sorted_days[i] - sorted_days[i-1]).days == 1:
|
||||
current_streak += 1
|
||||
else:
|
||||
# 重置当前连续计数
|
||||
current_streak = 1
|
||||
|
||||
max_streak = max(max_streak, current_streak)
|
||||
|
||||
# 记录最长连续提交天数
|
||||
stats[author]['commit_streak'] = max_streak
|
||||
|
||||
# 计算当前连续提交天数 (到最后一个日期)
|
||||
if sorted_days:
|
||||
today = datetime.now().date()
|
||||
days_since_last = (today - sorted_days[-1]).days
|
||||
|
||||
if days_since_last <= 1: # 如果最后提交是今天或昨天
|
||||
current_streak = 1
|
||||
for i in range(len(sorted_days) - 1, 0, -1):
|
||||
if (sorted_days[i] - sorted_days[i-1]).days == 1:
|
||||
current_streak += 1
|
||||
else:
|
||||
break
|
||||
stats[author]['current_streak'] = current_streak
|
||||
|
||||
# 后处理：计算派生指标并转换集合为计数
|
||||
for author, data in stats.items():
|
||||
# 将文件集合转换为数量
|
||||
data['files_count'] = len(data['files_modified'])
|
||||
data['active_days'] = len(data['commit_dates'])
|
||||
data['key_files_count'] = len(data['key_files_modified'])
|
||||
|
||||
# 计算平均每次提交的修改量
|
||||
if data['commits'] > 0:
|
||||
data['avg_commit_size'] = sum(data['commit_sizes']) / data['commits']
|
||||
data['median_commit_size'] = statistics.median(data['commit_sizes']) if data['commit_sizes'] else 0
|
||||
|
||||
# 计算代码复杂度得分 (基于修改量、文件数和一致性)
|
||||
variability = statistics.stdev(data['commit_sizes']) if len(data['commit_sizes']) > 1 else 0
|
||||
data['complexity_score'] = (data['avg_commit_size'] * data['files_count'] * (1 + variability / 1000)) / 100
|
||||
|
||||
# 计算一致性得分 (提交大小和频率的一致性)
|
||||
if variability > 0:
|
||||
data['consistency_score'] = 100 * (1 - min(1, variability / data['avg_commit_size']))
|
||||
else:
|
||||
data['consistency_score'] = 100
|
||||
else:
|
||||
data['avg_commit_size'] = 0
|
||||
data['median_commit_size'] = 0
|
||||
data['complexity_score'] = 0
|
||||
data['consistency_score'] = 0
|
||||
|
||||
# 计算总修改量
|
||||
data['total_changes'] = data['additions'] + data['deletions']
|
||||
|
||||
# 计算代码周转率 (code churn) - 估算值
|
||||
if data['additions'] > 0 and data['deletions'] > 0:
|
||||
data['code_churn'] = min(data['additions'], data['deletions']) / max(data['additions'], data['deletions']) * 100
|
||||
|
||||
# 计算活跃时长（天）
|
||||
if data['first_commit'] and data['last_commit']:
|
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delta = data['last_commit'] - data['first_commit']
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data['active_period_days'] = delta.days + 1
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# 计算活跃密度 (提交数/活跃天数)
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if delta.days > 0:
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data['activity_density'] = data['commits'] / delta.days
|
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else:
|
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data['activity_density'] = data['commits']
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else:
|
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data['active_period_days'] = 0
|
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data['activity_density'] = 0
|
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|
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# 计算协作得分 (基于参与修改的共享文件比例)
|
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total_files = len(data['files_modified'])
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shared_files = sum(1 for f in data['files_modified'] if len(file_authors[f]) > 1)
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if total_files > 0:
|
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data['collaboration_score'] = (shared_files / total_files) * 100
|
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|
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# 计算专业领域 (基于文件类型和目录)
|
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if data['file_types']:
|
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primary_type = max(data['file_types'].items(), key=lambda x: x[1])[0]
|
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data['primary_file_type'] = primary_type
|
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data['primary_file_type_percent'] = (data['file_types'][primary_type] / sum(data['file_types'].values())) * 100
|
||||
|
||||
# 统计目录专业度
|
||||
if data['directories_modified']:
|
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dir_counts = Counter()
|
||||
for directory in data['directories_modified']:
|
||||
dir_counts[directory] += 1
|
||||
|
||||
# 检查父目录
|
||||
parent = os.path.dirname(directory)
|
||||
while parent:
|
||||
dir_counts[parent] += 0.5 # 对父目录给予较低的权重
|
||||
parent = os.path.dirname(parent)
|
||||
|
||||
# 找出专业领域（最常修改的目录）
|
||||
if dir_counts:
|
||||
primary_dir = max(dir_counts.items(), key=lambda x: x[1])[0]
|
||||
data['primary_directory'] = primary_dir
|
||||
data['expertise_areas'][primary_dir] = dir_counts[primary_dir] / sum(dir_counts.values())
|
||||
|
||||
return stats
|
||||
|
||||
def print_stats(stats):
|
||||
"""打印贡献者统计信息的详细报告"""
|
||||
# 基本信息表头
|
||||
print("\n===== 贡献者基本统计 =====")
|
||||
print("{:<20} {:<10} {:<10} {:<10} {:<10} {:<15} {:<15}".format(
|
||||
"作者", "提交数", "添加行数", "删除行数", "总修改行数", "修改文件数", "活跃天数"))
|
||||
print("-" * 90)
|
||||
|
||||
# 按总修改量排序
|
||||
for author, data in sorted(stats.items(), key=lambda x: x[1]['total_changes'], reverse=True):
|
||||
print("{:<20} {:<10} {:<10} {:<10} {:<10} {:<15} {:<15}".format(
|
||||
author,
|
||||
data['commits'],
|
||||
data['additions'],
|
||||
data['deletions'],
|
||||
data['total_changes'],
|
||||
data['files_count'],
|
||||
data['active_days']
|
||||
))
|
||||
|
||||
# 为每个贡献者打印详细信息
|
||||
for author, data in sorted(stats.items(), key=lambda x: x[1]['total_changes'], reverse=True):
|
||||
print(f"\n\n===== {author} 的详细贡献统计 =====")
|
||||
|
||||
# 活跃时间信息
|
||||
if data['first_commit'] and data['last_commit']:
|
||||
print(f"首次提交时间: {data['first_commit'].strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f"最近提交时间: {data['last_commit'].strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f"活跃时长: {data['active_period_days']} 天")
|
||||
|
||||
# 提交规模信息
|
||||
print(f"平均每次提交修改: {data['avg_commit_size']:.2f} 行")
|
||||
print(f"最大单次提交修改: {data['largest_commit']} 行")
|
||||
|
||||
# 文件类型分布
|
||||
if data['file_types']:
|
||||
print("\n文件类型分布:")
|
||||
for ext, count in sorted(data['file_types'].items(), key=lambda x: x[1], reverse=True):
|
||||
print(f" {ext}: {count} 次修改")
|
||||
|
||||
# 提交时间分布
|
||||
if data['commit_hours']:
|
||||
print("\n提交时间分布:")
|
||||
for hour in range(24):
|
||||
count = data['commit_hours'].get(hour, 0)
|
||||
if count > 0:
|
||||
print(f" {hour:02d}:00-{hour+1:02d}:00: {count} 次提交")
|
||||
|
||||
# 工作日分布
|
||||
if data['commit_weekdays']:
|
||||
weekday_names = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
|
||||
print("\n工作日分布:")
|
||||
for day in range(7):
|
||||
count = data['commit_weekdays'].get(day, 0)
|
||||
if count > 0:
|
||||
print(f" {weekday_names[day]}: {count} 次提交")
|
||||
|
||||
def get_team_summary(stats):
|
||||
"""生成团队整体统计摘要"""
|
||||
summary = {
|
||||
'total_commits': 0,
|
||||
'total_additions': 0,
|
||||
'total_deletions': 0,
|
||||
'total_files': set(),
|
||||
'contributors': len(stats),
|
||||
'first_commit': None,
|
||||
'last_commit': None,
|
||||
}
|
||||
|
||||
for author, data in stats.items():
|
||||
summary['total_commits'] += data['commits']
|
||||
summary['total_additions'] += data['additions']
|
||||
summary['total_deletions'] += data['deletions']
|
||||
summary['total_files'].update(data['files_modified'])
|
||||
|
||||
# 更新首次和最近提交
|
||||
if data['first_commit']:
|
||||
if summary['first_commit'] is None or data['first_commit'] < summary['first_commit']:
|
||||
summary['first_commit'] = data['first_commit']
|
||||
|
||||
if data['last_commit']:
|
||||
if summary['last_commit'] is None or data['last_commit'] > summary['last_commit']:
|
||||
summary['last_commit'] = data['last_commit']
|
||||
|
||||
return summary
|
||||
|
||||
def print_team_summary(summary):
|
||||
"""打印团队整体统计摘要"""
|
||||
print("\n===== 团队整体统计 =====")
|
||||
print(f"贡献者数量: {summary['contributors']}")
|
||||
print(f"总提交次数: {summary['total_commits']}")
|
||||
print(f"总添加行数: {summary['total_additions']}")
|
||||
print(f"总删除行数: {summary['total_deletions']}")
|
||||
print(f"总修改行数: {summary['total_additions'] + summary['total_deletions']}")
|
||||
print(f"修改的文件数: {len(summary['total_files'])}")
|
||||
|
||||
if summary['first_commit'] and summary['last_commit']:
|
||||
print(f"项目起始时间: {summary['first_commit'].strftime('%Y-%m-%d')}")
|
||||
print(f"最近活动时间: {summary['last_commit'].strftime('%Y-%m-%d')}")
|
||||
delta = summary['last_commit'] - summary['first_commit']
|
||||
print(f"项目活跃时长: {delta.days + 1} 天")
|
||||
if __name__ == "__main__":
|
||||
# 设置仓库路径（当前目录）
|
||||
repo_path = '.'
|
||||
|
||||
# 设置日期范围（示例）
|
||||
# 注意：这里使用的是2025年的日期，可能需要根据实际情况调整
|
||||
start_date = datetime(2025, 1, 1) # 修改为更合理的日期范围
|
||||
end_date = datetime(2025, 12, 31)
|
||||
|
||||
print(f"分析Git仓库: {os.path.abspath(repo_path)}")
|
||||
print(f"时间范围: {start_date.strftime('%Y-%m-%d')} 至 {end_date.strftime('%Y-%m-%d')}")
|
||||
|
||||
# 获取统计信息
|
||||
stats = get_contributor_stats(repo_path, start_date, end_date)
|
||||
|
||||
# 打印团队摘要
|
||||
team_summary = get_team_summary(stats)
|
||||
print_team_summary(team_summary)
|
||||
print(stats)
|
||||
Loading…
Reference in New Issue