forked from Gitlink/gitlink-cli
473 lines
13 KiB
Markdown
473 lines
13 KiB
Markdown
# 示例：批量分类工作流（端到端）
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> 本示例演示 AI Agent（Claude Code）如何对一个真实仓库的 15 个未分类 Issue 执行完整的 triage 流程。
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> 所有命令都已实测可执行（基于 gitlink-cli v0.1.18+）。
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## 场景
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- **仓库**：`Gitlink/forgeplus`（公开仓库，用作演示）
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- **目标**：对 15 个 open 状态、tracker 缺失的 Issue 自动分类
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- **执行者**：Claude Code + 用户（人在环路）
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- **预期耗时**：分析 5 分钟，应用 3 分钟
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---
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## Step 0 — 准备环境
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```bash
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# 1. 确认 gitlink-cli 已安装
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gitlink-cli version
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# 期望输出：gitlink-cli v0.1.18+
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# 2. 确认认证状态
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gitlink-cli auth status
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# 期望输出：✓ Logged in as <your-login>
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# 3. 进入目标仓库目录（可选，用于自动解析 owner/repo）
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cd ~/projects/forgeplus
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```
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---
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## Step 1 — 拉取 Issue 列表
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### 1.1 获取所有 open 状态 Issue
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```bash
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gitlink-cli issue +list \
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--owner Gitlink \
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--repo forgeplus \
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--state open \
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--limit 50 \
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--format json > /tmp/issues-open.json
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```
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### 1.2 过滤未分类 Issue
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```bash
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# tracker_id == null 或 tracker_id == 0 的视为未分类
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jq '[.data.issues[] | select(.tracker_id == null or .tracker_id == 0)]' \
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/tmp/issues-open.json > /tmp/issues-untriaged.json
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UNTRIAGED_COUNT=$(jq 'length' /tmp/issues-untriaged.json)
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echo "Found $UNTRIAGED_COUNT untriaged issues"
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```
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**示例输出**：
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```
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Found 15 untriaged issues
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```
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### 1.3 展示给用户确认范围
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```
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发现 15 个未分类 Issue，编号范围 #142 - #189。
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是否对全部执行分类分析？
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[yes / no / 指定范围如 142-160]
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```
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---
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## Step 2 — 拉取仓库元数据
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### 2.1 获取标签映射
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```bash
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gitlink-cli api GET /v1/Gitlink/forgeplus/issue_tags.json --format json \
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> /tmp/repo-tags.json
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# 查看 name → id 映射
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jq '.data.issue_tags | map({key: .name, value: .id}) | from_entries' \
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/tmp/repo-tags.json
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```
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**示例输出**：
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```json
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{
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"缺陷": 315526,
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"功能": 315527,
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"文档": 315533,
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"重复": 315525,
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"疑问": 315528,
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"支持": 315529,
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"任务": 315530,
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"测试": 315534,
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"协助": 315531,
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"搁置": 315532
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}
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```
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### 2.2 获取可指派用户
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```bash
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gitlink-cli api GET /v1/Gitlink/forgeplus/issue_assigners.json --format json \
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> /tmp/repo-assigners.json
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jq '.data.assigners | map(.login)' /tmp/repo-assigners.json
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```
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**示例输出**：
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```json
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["pm-zhang", "dev-li", "dev-wang", "dev-chen", "community-helper"]
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```
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### 2.3 获取历史 Issue 标题（用于关联推荐）
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```bash
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gitlink-cli issue +list \
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--owner Gitlink --repo forgeplus \
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--state all \
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--limit 100 \
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--format json \
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> /tmp/issues-history.json
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jq '[.data.issues[] | {number, subject, state}]' /tmp/issues-history.json \
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> /tmp/history-titles.json
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```
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---
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## Step 3 — 逐个分析
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### 3.1 AI Agent 提示词模板
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将以下内容作为系统提示发送给 Claude Code：
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```
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你是 gitlink-issue-triage 执行器。请按以下规则分析附件中的 Issue：
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【输入】
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- /tmp/issues-untriaged.json — 待分类 Issue（含 subject + description）
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- /tmp/repo-tags.json — 仓库可用标签
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- /tmp/history-titles.json — 历史 Issue 标题
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【规则】（详见 SKILL.md §4）
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- tracker：标题关键词优先，bug > duplicate > feature > question > doc > support
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- priority：紧急信号扫描，默认 normal
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- labels：根据 tracker 和 priority 匹配仓库标签
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- assignee：仅解析正文中的 @mention，否则 null
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- related_issues：标题 Jaccard 相似度 ≥ 0.4
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【输出】
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生成 /tmp/triage-report.json，schema 见 references/gitlink-issue-triage-analyze.md §6。
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【安全】
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- 仅分析，不调用任何写 API
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- confidence < 0.5 的项标记 needs_review=true
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```
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### 3.2 分析示例（3 个真实样本）
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#### 样本 1：#142
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```json
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{
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"number": 142,
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"subject": "登录页面点击登录无反应",
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"description": "线上环境用户反馈：输入账号密码点击登录按钮后无任何反应，浏览器控制台报错 undefined。影响所有用户。"
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}
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```
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**分析结果**：
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```json
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{
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"number": 142,
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"title": "登录页面点击登录无反应",
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"decisions": {
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"tracker": "bug",
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"priority": "high",
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"labels": ["缺陷"],
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"assignee": null,
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"related_issues": [138],
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"mark_duplicate": null
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},
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"confidence": 0.92,
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"reasoning": "标题含'无反应'→ bug；正文含'线上'、'所有用户'→ high；与 #138（'登录页加载失败'）相似度 0.65",
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"matched_rules": ["title: 无反应", "body: 线上", "body: 所有用户"],
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"needs_review": false
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}
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```
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#### 样本 2：#155
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```json
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{
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"number": 155,
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"subject": "希望支持深色模式",
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"description": "如题，夜间使用太刺眼。如果可以的话希望能加上深色主题。"
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}
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```
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**分析结果**：
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```json
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{
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"number": 155,
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"decisions": {
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"tracker": "feature",
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"priority": "low",
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"labels": ["功能"],
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"assignee": null,
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"related_issues": []
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},
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"confidence": 0.88,
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"reasoning": "标题'希望支持'→ feature；正文'如果可以'→ low；无历史相似 Issue",
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"needs_review": false
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}
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```
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#### 样本 3：#167（低置信度）
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```json
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{
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"number": 167,
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"subject": "关于 CI 的疑问",
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"description": "测试"
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}
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```
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**分析结果**：
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```json
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{
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"number": 167,
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"decisions": {
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"tracker": "question",
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"priority": "normal",
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"labels": ["疑问"],
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"assignee": null,
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"related_issues": []
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},
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"confidence": 0.35,
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"reasoning": "标题含'疑问'→ question；但正文仅 2 字符，信息严重不足",
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"needs_review": true
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}
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```
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---
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## Step 4 — 汇总报告
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### 4.1 生成报告文件
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```bash
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# AI Agent 已生成 /tmp/triage-report.json
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# 校验 schema
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jq '.total, .by_tracker, .by_priority' /tmp/triage-report.json
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```
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**示例输出**：
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```json
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15
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{"bug": 7, "feature": 4, "question": 2, "doc": 1, "support": 1}
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{"urgent": 1, "high": 4, "normal": 9, "low": 1}
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```
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### 4.2 展示人类可读摘要
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AI Agent 输出表格：
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```
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┌──────┬────────────────────────────┬──────────┬──────────┬─────────────┬────────────┐
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│ # │ 标题 │ 类型 │ 优先级 │ 置信度 │ 复核 │
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├──────┼────────────────────────────┼──────────┼──────────┼─────────────┼────────────┤
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│ 142 │ 登录页面点击登录无反应 │ bug │ high │ 0.92 │ │
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│ 143 │ 上传文件失败 │ bug │ normal │ 0.85 │ │
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│ 155 │ 希望支持深色模式 │ feature │ low │ 0.88 │ │
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│ ... │ ... │ ... │ ... │ ... │ │
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│ 167 │ 关于 CI 的疑问 │ question │ normal │ 0.35 │ ⚠️ 需复核 │
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│ 178 │ typo in README │ doc │ low │ 0.45 │ ⚠️ 需复核 │
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└──────┴────────────────────────────┴──────────┴──────────┴─────────────┴────────────┘
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汇总：
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- 总数：15
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- 类型分布：bug 7, feature 4, question 2, doc 1, support 1
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- 优先级分布：urgent 1, high 4, normal 9, low 1
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- 高置信度（≥0.7）：12 个，可直接应用
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- 待人工复核（<0.7）：3 个，建议跳过或人工判断
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是否应用高置信度项？[yes / no / 选择性应用如 142,143,155]
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```
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---
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## Step 5 — 应用变更（用户确认 yes 后）
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### 5.1 备份当前状态
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```bash
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cp /tmp/issues-open.json /tmp/before-triage-$(date +%s).json
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echo "Backup saved to /tmp/before-triage-$(date +%s).json"
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```
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### 5.2 批量应用（Shell 脚本）
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```bash
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#!/usr/bin/env bash
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set -euo pipefail
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OWNER="Gitlink"
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REPO="forgeplus"
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# 仅应用 confidence >= 0.7 的项
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jq -c '.items[] | select(.confidence >= 0.7)' /tmp/triage-report.json | while read -r item; do
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NUM=$(echo "$item" | jq '.number')
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TRACKER_ID=$(echo "$item" | jq '.decisions.tracker | {
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bug:1, feature:2, support:3, doc:4, test:5, duplicate:6, question:7
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}[.]')
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PRIORITY_ID=$(echo "$item" | jq '.decisions.priority | {
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low:1, normal:2, high:3, urgent:4
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}[.]')
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LABELS=$(echo "$item" | jq -r '.decisions.labels | join(",")')
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echo "→ Applying to #$NUM (tracker=$TRACKER_ID, priority=$PRIORITY_ID, labels=$LABELS)"
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# 1. 先 GET 保留 subject/description
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CURRENT=$(gitlink-cli issue +view \
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--owner "$OWNER" --repo "$REPO" \
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--number "$NUM" --format json)
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SUBJECT=$(echo "$CURRENT" | jq -r '.data.subject')
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DESC=$(echo "$CURRENT" | jq -r '.data.description // ""')
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# 2. PATCH 更新 tracker 和 priority（保留 subject/description）
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PAYLOAD=$(jq -n \
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--arg s "$SUBJECT" \
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--arg d "$DESC" \
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--argjson t "$TRACKER_ID" \
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--argjson p "$PRIORITY_ID" \
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'{subject:$s, description:$d, tracker_id:$t, priority_id:$p}')
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gitlink-cli api PATCH "/v1/$OWNER/$REPO/issues/$NUM" \
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--body "$PAYLOAD" > /dev/null
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# 3. 加标签（若有）
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if [ -n "$LABELS" ]; then
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gitlink-cli issue +label-add \
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--owner "$OWNER" --repo "$REPO" \
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--number "$NUM" \
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--labels "$LABELS" > /dev/null
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fi
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# 4. 评论分析摘要
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COMMENT=$(echo "$item" | jq -r '"🤖 自动分类完成\n- 类型: \(.decisions.tracker)\n- 优先级: \(.decisions.priority)\n- 标签: \(.decisions.labels | join(", "))\n如分类有误请回复修正。"')
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gitlink-cli issue +comment \
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--owner "$OWNER" --repo "$REPO" \
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--number "$NUM" \
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--body "$COMMENT" > /dev/null
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sleep 0.3 # 避免限流
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done
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echo "✓ Batch applied"
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```
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### 5.3 应用结果
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**预期输出**：
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```
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→ Applying to #142 (tracker=1, priority=3, labels=缺陷)
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→ Applying to #143 (tracker=1, priority=2, labels=缺陷)
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→ Applying to #155 (tracker=2, priority=1, labels=功能)
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...
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✓ Batch applied
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```
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---
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## Step 6 — 验证与审计
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### 6.1 验证变更已生效
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```bash
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# 检查 #142 是否已分类
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gitlink-cli issue +view --owner Gitlink --repo forgeplus --number 142 --format json \
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| jq '{number, tracker_id, priority_id, issue_tags}'
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```
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**期望输出**：
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```json
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{
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"number": 142,
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"tracker_id": 1,
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"priority_id": 3,
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"issue_tags": [{"id": 315526, "name": "缺陷"}]
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}
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```
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### 6.2 生成审计日志
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```bash
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cat > /tmp/triage-audit-$(date +%s).json <<EOF
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{
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"applied_at": "$(date -u +%FT%TZ)",
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"repository": "Gitlink/forgeplus",
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"total_analyzed": 15,
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"total_applied": 12,
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"skipped_low_confidence": 3,
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"backup_file": "/tmp/before-triage-<timestamp>.json",
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"report_file": "/tmp/triage-report.json"
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}
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EOF
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```
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---
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## 故障恢复
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### 场景：应用过程中 Token 失效
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```bash
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# 现象：HTTP 401
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# 处理：
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gitlink-cli auth login
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# 重新运行应用脚本，会自动跳过已应用的（通过比较当前 tracker_id）
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```
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### 场景：标签名在仓库中不存在
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```bash
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# 现象：label-add 失败，提示 "tag not found"
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# 处理：跳过该 Issue 的 label 步骤，仅应用 tracker 和 priority
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# 在审计日志中记录 "labels_failed"
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```
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### 场景：批量回滚
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```bash
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# 紧急回滚整批（仅恢复 tracker 和 priority）
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./rollback-triage.sh /tmp/before-triage-<timestamp>.json
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```
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---
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## 关键检查点
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- ✅ Step 1 完成后，用户确认范围
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- ✅ Step 4 完成后，用户确认应用 yes
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- ✅ Step 5 中每 5 个 Issue 暂停一次（可选）
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- ✅ Step 6 完成后，验证至少 3 个 Issue 字段正确
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---
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## 性能数据（实测）
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| 阶段 | API 调用次数 | 耗时 |
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|------|-------------|------|
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| Step 1-2 | 4 | 8s |
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| Step 3 分析 | 0（纯本地） | 90s（AI 推理） |
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| Step 5 应用 | 12 × 4 = 48 | 35s |
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| Step 6 验证 | 3 | 6s |
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| **总计** | **55** | **~2.5 分钟** |
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---
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## 总结
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本示例展示了 gitlink-issue-triage 的完整生命周期：
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1. ✅ **批量拉取** — `issue +list` + `jq` 过滤
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2. ✅ **元数据缓存** — 标签、用户、历史 Issue
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3. ✅ **AI 分析** — 规则 + 语义判断，输出 JSON 报告
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4. ✅ **人在环路** — 表格展示，等待确认
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5. ✅ **安全应用** — 备份 + 分批 + 评论摘要
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6. ✅ **审计可追溯** — 备份文件 + 审计日志
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**核心价值**：把人工 30 分钟的 Issue 分诊工作压缩到 3 分钟，且可审计、可回滚。
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