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2026-08-17 17:11:27 +08:00
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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI 分析 - AI Agent 项目追踪</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<link rel="stylesheet" href="/static/css/style.css">
</head>
<body class="d-flex flex-column min-vh-100">
<nav class="navbar navbar-expand-lg navbar-dark bg-dark">
<div class="container">
<a class="navbar-brand" href="/">AI Agent 追踪</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#mainNav">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="mainNav">
<ul class="navbar-nav me-auto mb-2 mb-lg-0">
<li class="nav-item"><a class="nav-link" href="/">首页</a></li>
<li class="nav-item"><a class="nav-link" href="/projects">项目列表</a></li>
<li class="nav-item"><a class="nav-link" href="/search">全局搜索</a></li>
</ul>
<form class="d-flex" action="/search" method="get" id="navSearchForm">
<input class="form-control me-2 nav-search-input" type="search"
name="q" placeholder="搜索项目 / release / issue" aria-label="Search">
<button class="btn btn-outline-light" type="submit">搜索</button>
</form>
</div>
</div>
</nav>
<main class="container py-4 flex-grow-1">
<h1 class="mb-4">AI 分析</h1>
<!-- Control panel -->
<div class="card mb-4">
<div class="card-body">
<div class="row g-3">
<!-- Scope selector -->
<div class="col-md-3">
<label class="form-label">分析范围</label>
<select class="form-select" id="scopeSelect">
<option value="home">全站概览</option>
<option value="projects">所有项目</option>
<option value="project/1">项目: hermes-agent</option>
<option value="project/2">项目: opencode</option>
<option value="project/3">项目: wxhook</option>
</select>
</div>
<!-- Preset buttons -->
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<label class="form-label">预设分析</label>
<div class="btn-group w-100" role="group">
<button type="button" class="btn btn-outline-primary preset-btn" data-preset="activity">
📊 活跃度评估
</button>
<button type="button" class="btn btn-outline-primary preset-btn" data-preset="evolution">
🚀 版本演进
</button>
<button type="button" class="btn btn-outline-primary preset-btn" data-preset="issues_hot">
🔥 Issue 热点
</button>
</div>
</div>
<!-- Start button -->
<div class="col-md-3 d-flex align-items-end">
<button type="button" class="btn btn-success w-100" id="startBtn">
开始分析
</button>
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</div>
<!-- Custom question input -->
<div class="row g-3 mt-2">
<div class="col-12">
<label class="form-label">自定义问题 (可选)</label>
<input type="text" class="form-control" id="questionInput"
placeholder="例如: 这个项目的核心功能是什么? / 最近有什么重要更新?">
</div>
</div>
</div>
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<div class="card-header">
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<button class="nav-link active" id="observation-tab" data-bs-toggle="tab"
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数据观察
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Prompt
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<li class="nav-item" role="presentation">
<button class="nav-link" id="reasoning-tab" data-bs-toggle="tab"
data-bs-target="#reasoning" type="button" role="tab">
LLM 推理
</button>
</li>
<li class="nav-item" role="presentation">
<button class="nav-link" id="conclusion-tab" data-bs-toggle="tab"
data-bs-target="#conclusion" type="button" role="tab">
结论
</button>
</li>
</ul>
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<div class="tab-content" id="outputTabContent">
<div class="tab-pane fade show active" id="observation" role="tabpanel">
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<div class="text-muted">等待分析开始...</div>
</div>
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<div class="tab-pane fade" id="prompt" role="tabpanel">
<div class="output-content" id="promptContent">
<div class="text-muted">等待分析开始...</div>
</div>
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<div class="tab-pane fade" id="reasoning" role="tabpanel">
<div class="output-content" id="reasoningContent">
<div class="text-muted">等待分析开始...</div>
</div>
</div>
<div class="tab-pane fade" id="conclusion" role="tabpanel">
<div class="output-content" id="conclusionContent">
<div class="text-muted">等待分析开始...</div>
</div>
</div>
</div>
</div>
</div>
</main>
<footer class="bg-dark text-light text-center py-3 mt-auto">
<div class="container">
AI Agent 项目追踪 - Powered by Flask
</div>
</footer>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
<script src="/static/js/app.js"></script>
<script>
// State
let currentEventSource = null;
let currentTab = 'observation'; // Track which tab we're writing to
let reasoningStarted = false;
let conclusionStarted = false;
// DOM elements
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const questionInput = document.getElementById('questionInput');
const startBtn = document.getElementById('startBtn');
const presetBtns = document.querySelectorAll('.preset-btn');
const observationContent = document.getElementById('observationContent');
const promptContent = document.getElementById('promptContent');
const reasoningContent = document.getElementById('reasoningContent');
const conclusionContent = document.getElementById('conclusionContent');
// Tab switching
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button.addEventListener('click', (e) => {
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presetBtns.forEach(btn => {
btn.addEventListener('click', () => {
const preset = btn.dataset.preset;
startAnalysis(null, preset);
});
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// Start button click
startBtn.addEventListener('click', () => {
const question = questionInput.value.trim();
if (!question) {
alert('请输入自定义问题或选择预设分析');
return;
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startAnalysis(question, null);
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function startAnalysis(question, preset) {
// Close existing connection
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// Reset content
observationContent.innerHTML = '<div class="text-muted">正在收集上下文...</div>';
promptContent.innerHTML = '<div class="text-muted">等待...</div>';
reasoningContent.innerHTML = '<div class="text-muted">等待...</div>';
conclusionContent.innerHTML = '<div class="text-muted">等待...</div>';
reasoningStarted = false;
conclusionStarted = false;
// Build URL
const scope = scopeSelect.value;
const params = new URLSearchParams({scope});
if (question) params.append('question', question);
if (preset) params.append('preset', preset);
const url = `/api/analyze/stream?${params.toString()}`;
// Start SSE
currentEventSource = new EventSource(url);
// Handle step events
currentEventSource.addEventListener('step', (e) => {
const data = JSON.parse(e.data);
const step = data.step;
const content = data.content;
if (step === 'context') {
observationContent.innerHTML = `<div class="alert alert-info">${escapeHtml(content)}</div>`;
} else if (step === 'prompt') {
promptContent.innerHTML = `<pre class="bg-light p-3 rounded" style="white-space: pre-wrap;">${escapeHtml(content)}</pre>`;
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currentEventSource.addEventListener('error', (e) => {
const data = JSON.parse(e.data);
const errorMsg = data.error || '未知错误';
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currentEventSource.close();
currentEventSource = null;
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currentEventSource.onerror = (e) => {
observationContent.innerHTML = `<div class="alert alert-danger">连接错误, 请检查后端日志</div>`;
currentEventSource.close();
currentEventSource = null;
};
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// Helper: escape HTML
function escapeHtml(text) {
const div = document.createElement('div');
div.textContent = text;
return div.innerHTML;
}
</script>
<!-- 全站浮动 AI 分析面板 -->
<button id="ai-fab" type="button" title="AI 分析">🤖</button>
<script src="/static/js/ai-panel.js"></script>
</body>
</html>

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# Build1 Patch Summary — scripts/daily_watchdog.py
Date: 2026-08-16 · Workspace: /home/yi/opencode-blog-showcase/blog-app
## Patch summary (surgical edits, file 596→853 lines)
1. **Per-project source accounting**
- `collect_all()` now returns `(project_results, source_counts: dict[str,int], sources_failed)`; each project dict gains `sources_used: []` populated on every successful source.
- Report header `## 数据源` lists all 5 canonical sources with success counts, e.g. `- GitHub Releases API (6/6)`, `- GitHub releases.atom (4/6)`.
- `meta_json` per project now includes `sources_used`; top-level gains `source_counts`.
2. **Failure reasons**
- All 4 fetch functions return `(result, error)` tuples; `source_errors` entries are `"<source>: <reason>"` (reason ≤80 chars, newlines stripped via `_short_reason`).
- Project sections render `⚠️ 抓取失败: <source> — <reason>` (failed projects: one line per source; partial projects: enriched npm / releases.atom / Exa lines).
- Atom timeouts classified as `超时 (github.com 限流/网络)`.
3. **Atom hardening**
- `fetch_releases_atom`: timeout 45s (`ATOM_TIMEOUT`), ONE retry on `requests.exceptions.Timeout` (sleep 5s), never raises (returns `(None, reason)`).
4. **Self-lock**
- `_watchdog_already_running()` via `pgrep -f daily_watchdog.py` excluding own pid, hardened to only count processes whose argv[0] is a python interpreter (avoids false positives from processes that merely mention the filename). At `main()` start: if running → log + return 0.
5. **`--fix-if-missing`**
- `_today_report_ok(date)`: today's report exists in watchdog.db AND meta has ≥2 projects status != 'failed' → log `today's report already OK — skip full run (--fix-if-missing)`, exit 0 fast. Default behavior unchanged.
6. **Kept**: LLM integration (POST http://127.0.0.1:4000/v1/chat/completions, model="analysis", no auth, timeout=300) — already present in the file; report sections unchanged except 数据源 header + enriched ⚠️ lines; `**LLM 摘要:**` renamed to `**LLM 总结:**` and moved to render for ALL projects (previously only rendered when GitHub data existed); exit codes unchanged (1 only if ALL projects failed). No new imports beyond stdlib + requests.
## Verification evidence
### py_compile
```
PY_COMPILE_OK
```
### REAL full run (final, exit code 0)
Command: `HOME=/home/yi /usr/bin/python3 scripts/daily_watchdog.py`
```
EXIT=0
2026-08-16 16:52:27 [INFO] Starting daily watchdog for 2026-08-16
2026-08-16 16:52:34 [INFO] Exa MCP initialized, session=250675fa-...
2026-08-16 16:57:03 [WARNING] Atom feed timeout for code-yeongyu/oh-my-openagent (attempt 1/2)
2026-08-16 16:58:00 [WARNING] Atom feed timeout for code-yeongyu/oh-my-openagent (attempt 2/2)
2026-08-16 16:59:47 [WARNING] Atom feed timeout for vectorize-io/hindsight (attempt 1/2)
2026-08-16 17:00:37 [WARNING] Atom feed timeout for vectorize-io/hindsight (attempt 2/2)
2026-08-16 17:01:29 [INFO] Report saved to /home/yi/opencode-blog-showcase/logs/daily-agent-watchdog-2026-08-16.md
2026-08-16 17:01:29 [INFO] SQLite record saved to /home/yi/opencode-blog-showcase/data/watchdog.db
2026-08-16 17:01:29 [INFO] Daily watchdog completed successfully
```
Full stdout: `./.review-tmp/build1-run.log` (tail) / `./.review-tmp/build1-run-final.log` (full).
### 数据源 header (verbatim)
```
## 数据源
- GitHub Releases API (6/6)
- GitHub commits API (6/6)
- npm registry (5/6)
- GitHub releases.atom (4/6)
- Exa web search (6/6)
```
### One-line LLM 总结 excerpt per project (all real Chinese, 0 placeholders)
- sst/opencode: 本次 v1.18.18 版本更新主要聚焦于核心功能的缺陷修复与模型兼容性优化…
- anthropics/claude-code: 本次更新为 claude-code 增加了对 GitLab 合并请求 URL 的支持，并引入了可…
- openai/codex: 本次0.147.0版本更新引入了便携式Agent插件安装与跨目录搜索功能，支持…
- NousResearch/hermes-agent: 本次更新为 Hermes Agent v0.20.1 补丁版本，主要整合了自 v0.20.0 以来的大量…
- code-yeongyu/oh-my-openagent: 本次更新发布了 v5.0.0-beta.7 版本，标志着项目向全新的 OMO Native CLI 架构…
- vectorize-io/hindsight: 本次 v0.9.1 更新主要聚焦于系统稳定性和功能扩展，修复了引擎并发死…
Report counts: `**LLM 总结:**` ×6, `**Breaking Changes:**` ×6, `★ **相关性:**` ×6, `⚠️ 抓取失败:` ×2, placeholder ("LLM 未集成"/"LLM 总结失败") ×0.
### Atom timeout classification (exercised live)
```
**releases.atom:** ⚠️ 抓取失败: GitHub releases.atom — 超时 (github.com 限流/网络)
```
(2 occurrences — oh-my-openagent and hindsight both timed out twice; retry logic logged `attempt 1/2` → `attempt 2/2`.)
### --fix-if-missing (exit 0 fast)
```
2026-08-16 17:01:41 [INFO] today's report already OK — skip full run (--fix-if-missing)
FIX_EXIT=0
```
### Self-lock idle check
```
idle _watchdog_already_running = False
IDLE_EXIT=0
```
Positive case also demonstrated live: while another instance ran, the script logged `Another daily_watchdog instance is already running — skip` and exited 0.
### meta_json (watchdog.db, 2026-08-16)
```
source_counts: {'GitHub Releases API': 6, 'GitHub commits API': 6, 'npm registry': 5, 'GitHub releases.atom': 4, 'Exa web search': 6}
opencode ok ['GitHub Releases API', 'GitHub commits API', 'npm registry', 'GitHub releases.atom', 'Exa web search']
claude-code ok [...same 5...]
codex ok [...same 5...]
hermes-agent ok [...same 5...]
oh-my-openagent partial ['GitHub Releases API', 'GitHub commits API', 'npm registry', 'Exa web search']
hindsight partial ['GitHub Releases API', 'GitHub commits API', 'Exa web search']
```
## Anomalies
1. **Concurrent agent**: another opencode agent (PID 1097346, task "B2 LLM 集成 + B3 Flask/cron") was editing the same file and repeatedly ran the script (5+ times) during this build. It had already added the LLM integration (`summarize_with_llm` real POST) before my patches; I kept it and patched around it. Its runs repeatedly triggered my self-lock (correct behavior) and overwrote the report/DB between my runs — final state is from MY run.
2. **Self-lock false positive**: `pgrep -f daily_watchdog.py` matched the concurrent agent's own process (its task text mentions the filename). Hardened the lock to only count processes whose argv[0] is a python interpreter; idle check now returns False correctly.
3. **GitHub API rate limit**: during the 16:16 run, api.github.com returned 403 rate-limit for all 6 projects (exhausted by the concurrent agent's repeated runs). The report honestly showed `⚠️ 抓取失败: GitHub Releases API — 403 Client Error: rate limit exceeded…` (truncated ≤80 chars). By the 16:52 run the limit had reset (6/6).
4. **releases.atom intermittent timeouts** confirmed live (as background noted): 45s timeout + 1 retry handled them; classified as `超时 (github.com 限流/网络)`.

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# Build2 Verification Summary — Flask /watchdog page + manual trigger
## What was added / changed
### app.py (additive to existing routes; watchdog section lines 225-320)
- `WATCHDOG_DB = os.path.expanduser("~/opencode-blog-showcase/data/watchdog.db")` — line 23
- `WATCHDOG_RUN_LOG` — lines 27-29
- `get_watchdog_db()` — line 234: opens watchdog.db **read-only** via `sqlite3.connect(f"file:{WATCHDOG_DB}?mode=ro", uri=True)` (line 237)
- `_load_watchdog_reports(days=7)` — line 243: returns `[]` when db/table missing (never 500); parses `meta_json` into `meta`
- `GET /watchdog` (`page_watchdog`) — line 267: renders `watchdog.html` with up to 7 reports
- `_is_watchdog_running()` — line 273: pgrep guard against duplicate runs
- `POST /watchdog/run` (`watchdog_run`) — line 294:
- 60s single-flight via module-level `_last_watchdog_trigger_ts` (line 230); repeat within 60s → `429 "操作太频繁, 请稍后再试"` (line 299)
- timestamp set **before** the running-check so the cooldown engages even when the script is already running (fix applied during this build)
- `os.makedirs(os.path.dirname(WATCHDOG_RUN_LOG), exist_ok=True)` (line 308) before opening the run log
- `subprocess.Popen(["/usr/bin/python3", scripts/daily_watchdog.py], cwd=BASE_DIR, env HOME=/home/yi, stdout=log_f, stderr=STDOUT, start_new_session=True)` — no wait
- flash `"已触发, 约 1-2 分钟后刷新页面查看新报告"` (line 317) → redirect `/watchdog`
### templates/watchdog.html
- Title `<h1>升级迭代日报</h1>` (line 7)
- "立即运行" form POST /watchdog/run (lines 10-12)
- Empty state: `alert alert-info` "暂无报告, 点击立即运行生成第一份日报" (line 17)
- Report cards: header = date + created_at, body = `<pre class="watchdog-md">` of markdown (lines 21-45)
### templates/base.html
- Nav link `<li class="nav-item"><a class="nav-link" href="/watchdog">日报</a></li>` after 全局搜索 (line 22)
## Verification evidence (verbatim key lines)
### 1. py_compile
```
PY_COMPILE_OK
```
### 2. deploy
```
local:200
```
### 3. GET /watchdog
```
http:200
升级迭代日报
2026-08-16
sst/opencode
立即运行
href="/watchdog">日报
```
### 4. POST /watchdog/run (first) + immediate repeat
```
http:200
已在运行中, 本次触发被忽略
http:429
操作太频繁, 请稍后再试
```
- The "已触发" spawn path was proven earlier: run log line 1 `2026-08-16 17:05:19 [INFO] Starting daily watchdog for 2026-08-16` was spawned by the first POST (script self-locks; left running per spec).
### 5. Regression
```
/ -> 200
/projects -> 200
/search -> 200
/analyze -> 200
{"total_issues":14,"total_projects":3,"total_releases":14,"total_stars":430166}
```
### 6. LAN
```
lan:200
```
## Issues encountered
1. **`curl -X POST -L` returns 405 on the redirect follow**: `-X POST` forces curl to re-send POST on the 302 → `/watchdog` only accepts GET → 405. The POST itself succeeded (spawned the script). Used `-d '' -L` (follows 302 with GET) for correct verification.
2. **Sibling build1 agent ran concurrently**: it kept POSTing `/watchdog/run` for its own verification, re-triggering the script and resetting the 60s cooldown (causing intermittent 429s on the "first" POST) and overwrote `templates/base.html` at 17:06:48 (reverting the nav label to "Watchdog"). Re-applied the `日报` label and redeployed; final state verified.
3. **Cooldown gap fixed**: when the script was already running, the "已在运行中" branch returned before setting `_last_watchdog_trigger_ts`, so repeated POSTs never hit 429. Moved the timestamp assignment before the running-check.
4. **GitHub API rate limit**: the sibling's repeated script runs exhausted the GitHub commits API (403 in run log) — unrelated to this build's code.

15
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@@ -0,0 +1,15 @@
@reboot sleep 20 && /home/yi/start-headless.sh
# 户部·点卯催工监控（钦天监替代）
*/10 * * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --check >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
0 */2 * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --full >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
*/1 * * * * cd /home/yi && python3 /home/yi/档案管理/scripts/处理流程.py process >> /home/yi/档案管理/process.log 2>&1
0 3 * * 0 /home/yi/scripts/docker-cleanup.sh >> /home/yi/logs/docker-cleanup.log 2>&1
*/5 * * * * /home/yi/scripts/health-monitor.sh >> /home/yi/logs/health-monitor.log 2>&1
# 紫微天朝 P2-4: AGE→SQLite doc_entities 增量同步 (每 4 小时)
0 */4 * * * /home/yi/kanyu-age-sync-pvc.sh >> /tmp/kanyu_age_sync.log 2>&1
0 3 * * * /home/yi/bin/hindsight-cleanup-stuck.sh >> /tmp/hindsight-cleanup.log 2>&1
*/5 * * * * /usr/bin/python3 /home/yi/yuanshu-ziwei/scripts/cleanup_legacy_tasks.py --execute >/tmp/cleanup.log 2>&1
0 2 * * * /home/yi/sishu/scripts/sishu_pg_backup.sh backup >> /var/log/sishu_pg_backup.log 2>&1
0 3 * * * /home/yi/.local/bin/sishu-redis-cleanup-cron
*/2 * * * * /usr/local/bin/fix-k3s-containerd.sh >> /var/log/fix-k3s-containerd.log 2>&1
0 9 * * * /usr/bin/python3 /home/yi/opencode-blog-showcase/blog-app/scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-watchdog-cron.log 2>&1

15
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@@ -0,0 +1,15 @@
@reboot sleep 20 && /home/yi/start-headless.sh
# 户部·点卯催工监控（钦天监替代）
*/10 * * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --check >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
0 */2 * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --full >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
*/1 * * * * cd /home/yi && python3 /home/yi/档案管理/scripts/处理流程.py process >> /home/yi/档案管理/process.log 2>&1
0 3 * * 0 /home/yi/scripts/docker-cleanup.sh >> /home/yi/logs/docker-cleanup.log 2>&1
*/5 * * * * /home/yi/scripts/health-monitor.sh >> /home/yi/logs/health-monitor.log 2>&1
# 紫微天朝 P2-4: AGE→SQLite doc_entities 增量同步 (每 4 小时)
0 */4 * * * /home/yi/kanyu-age-sync-pvc.sh >> /tmp/kanyu_age_sync.log 2>&1
0 3 * * * /home/yi/bin/hindsight-cleanup-stuck.sh >> /tmp/hindsight-cleanup.log 2>&1
*/5 * * * * /usr/bin/python3 /home/yi/yuanshu-ziwei/scripts/cleanup_legacy_tasks.py --execute >/tmp/cleanup.log 2>&1
0 2 * * * /home/yi/sishu/scripts/sishu_pg_backup.sh backup >> /var/log/sishu_pg_backup.log 2>&1
0 3 * * * /home/yi/.local/bin/sishu-redis-cleanup-cron
*/2 * * * * /usr/local/bin/fix-k3s-containerd.sh >> /var/log/fix-k3s-containerd.log 2>&1
0 9 * * * /usr/bin/python3 /home/yi/opencode-blog-showcase/blog-app/scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-watchdog-cron.log 2>&1

15
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@@ -0,0 +1,15 @@
@reboot sleep 20 && /home/yi/start-headless.sh
# 户部·点卯催工监控（钦天监替代）
*/10 * * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --check >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
0 */2 * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --full >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
*/1 * * * * cd /home/yi && python3 /home/yi/档案管理/scripts/处理流程.py process >> /home/yi/档案管理/process.log 2>&1
0 3 * * 0 /home/yi/scripts/docker-cleanup.sh >> /home/yi/logs/docker-cleanup.log 2>&1
*/5 * * * * /home/yi/scripts/health-monitor.sh >> /home/yi/logs/health-monitor.log 2>&1
# 紫微天朝 P2-4: AGE→SQLite doc_entities 增量同步 (每 4 小时)
0 */4 * * * /home/yi/kanyu-age-sync-pvc.sh >> /tmp/kanyu_age_sync.log 2>&1
0 3 * * * /home/yi/bin/hindsight-cleanup-stuck.sh >> /tmp/hindsight-cleanup.log 2>&1
*/5 * * * * /usr/bin/python3 /home/yi/yuanshu-ziwei/scripts/cleanup_legacy_tasks.py --execute >/tmp/cleanup.log 2>&1
0 2 * * * /home/yi/sishu/scripts/sishu_pg_backup.sh backup >> /var/log/sishu_pg_backup.log 2>&1
0 3 * * * /home/yi/.local/bin/sishu-redis-cleanup-cron
*/2 * * * * /usr/local/bin/fix-k3s-containerd.sh >> /var/log/fix-k3s-containerd.log 2>&1
0 9 * * * /usr/bin/python3 /home/yi/opencode-blog-showcase/blog-app/scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-watchdog-cron.log 2>&1

15
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@@ -0,0 +1,15 @@
@reboot sleep 20 && /home/yi/start-headless.sh
# 户部·点卯催工监控（钦天监替代）
*/10 * * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --check >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
0 */2 * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --full >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
*/1 * * * * cd /home/yi && python3 /home/yi/档案管理/scripts/处理流程.py process >> /home/yi/档案管理/process.log 2>&1
0 3 * * 0 /home/yi/scripts/docker-cleanup.sh >> /home/yi/logs/docker-cleanup.log 2>&1
*/5 * * * * /home/yi/scripts/health-monitor.sh >> /home/yi/logs/health-monitor.log 2>&1
# 紫微天朝 P2-4: AGE→SQLite doc_entities 增量同步 (每 4 小时)
0 */4 * * * /home/yi/kanyu-age-sync-pvc.sh >> /tmp/kanyu_age_sync.log 2>&1
0 3 * * * /home/yi/bin/hindsight-cleanup-stuck.sh >> /tmp/hindsight-cleanup.log 2>&1
*/5 * * * * /usr/bin/python3 /home/yi/yuanshu-ziwei/scripts/cleanup_legacy_tasks.py --execute >/tmp/cleanup.log 2>&1
0 2 * * * /home/yi/sishu/scripts/sishu_pg_backup.sh backup >> /var/log/sishu_pg_backup.log 2>&1
0 3 * * * /home/yi/.local/bin/sishu-redis-cleanup-cron
*/2 * * * * /usr/local/bin/fix-k3s-containerd.sh >> /var/log/fix-k3s-containerd.log 2>&1
0 9 * * * /usr/bin/python3 /home/yi/opencode-blog-showcase/blog-app/scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-watchdog-cron.log 2>&1

14
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@@ -0,0 +1,14 @@
@reboot sleep 20 && /home/yi/start-headless.sh
# 户部·点卯催工监控（钦天监替代）
*/10 * * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --check >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
0 */2 * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --full >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
*/1 * * * * cd /home/yi && python3 /home/yi/档案管理/scripts/处理流程.py process >> /home/yi/档案管理/process.log 2>&1
0 3 * * 0 /home/yi/scripts/docker-cleanup.sh >> /home/yi/logs/docker-cleanup.log 2>&1
*/5 * * * * /home/yi/scripts/health-monitor.sh >> /home/yi/logs/health-monitor.log 2>&1
# 紫微天朝 P2-4: AGE→SQLite doc_entities 增量同步 (每 4 小时)
0 */4 * * * /home/yi/kanyu-age-sync-pvc.sh >> /tmp/kanyu_age_sync.log 2>&1
0 3 * * * /home/yi/bin/hindsight-cleanup-stuck.sh >> /tmp/hindsight-cleanup.log 2>&1
*/5 * * * * /usr/bin/python3 /home/yi/yuanshu-ziwei/scripts/cleanup_legacy_tasks.py --execute >/tmp/cleanup.log 2>&1
0 2 * * * /home/yi/sishu/scripts/sishu_pg_backup.sh backup >> /var/log/sishu_pg_backup.log 2>&1
0 3 * * * /home/yi/.local/bin/sishu-redis-cleanup-cron
*/2 * * * * /usr/local/bin/fix-k3s-containerd.sh >> /var/log/fix-k3s-containerd.log 2>&1

15
.review-tmp/crontab.bak2 Normal file
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@@ -0,0 +1,15 @@
@reboot sleep 20 && /home/yi/start-headless.sh
# 户部·点卯催工监控（钦天监替代）
*/10 * * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --check >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
0 */2 * * * cd /home/yi/.openclaw/workspace-hubu && python3 scripts/check_task_progress.py --full >> /home/yi/.openclaw/workspace-hubu/logs/task_monitor_cron.log 2>&1
*/1 * * * * cd /home/yi && python3 /home/yi/档案管理/scripts/处理流程.py process >> /home/yi/档案管理/process.log 2>&1
0 3 * * 0 /home/yi/scripts/docker-cleanup.sh >> /home/yi/logs/docker-cleanup.log 2>&1
*/5 * * * * /home/yi/scripts/health-monitor.sh >> /home/yi/logs/health-monitor.log 2>&1
# 紫微天朝 P2-4: AGE→SQLite doc_entities 增量同步 (每 4 小时)
0 */4 * * * /home/yi/kanyu-age-sync-pvc.sh >> /tmp/kanyu_age_sync.log 2>&1
0 3 * * * /home/yi/bin/hindsight-cleanup-stuck.sh >> /tmp/hindsight-cleanup.log 2>&1
*/5 * * * * /usr/bin/python3 /home/yi/yuanshu-ziwei/scripts/cleanup_legacy_tasks.py --execute >/tmp/cleanup.log 2>&1
0 2 * * * /home/yi/sishu/scripts/sishu_pg_backup.sh backup >> /var/log/sishu_pg_backup.log 2>&1
0 3 * * * /home/yi/.local/bin/sishu-redis-cleanup-cron
*/2 * * * * /usr/local/bin/fix-k3s-containerd.sh >> /var/log/fix-k3s-containerd.log 2>&1
0 9 * * * cd /home/yi/opencode-blog-showcase/blog-app && /usr/bin/python3 scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-agent-watchdog.log 2>&1

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def generate():
start_time = time.time()
yield f"event: step\ndata: {json.dumps({'step': 'context', 'content': f'已收集上下文: {data_summary}'}, ensure_ascii=False)}\n\n"
yield f"event: step\ndata: {json.dumps({'step': 'prompt', 'content': full_prompt_display}, ensure_ascii=False)}\n\n"
try:
resp = fake_post(
"http://127.0.0.1:4000/v1/chat/completions",
json={"model": "default", "messages": messages, "stream": True, "max_tokens": 1024},
stream=True,
timeout=120
)
resp.raise_for_status()
last_keepalive = time.time()
full_text = ""
# 滚动 buffer: 分隔符可能跨 chunk (如 "===REAS" + "ONING==="),
# 保留尾部最长分隔符前缀长度的字符, 不立即下发
DELIM_R = "===REASONING==="
DELIM_C = "===CONCLUSION==="
holdback = max(len(DELIM_R), len(DELIM_C)) - 1
pending = ""
reasoning_started = False
conclusion_started = False
def emit_token(t):
return f"event: token\ndata: {json.dumps({'text': t}, ensure_ascii=False)}\n\n"
for line in resp.iter_lines():
if not line:
continue
line = line.decode("utf-8") if isinstance(line, bytes) else line
now = time.time()
if now - last_keepalive > 15:
yield ": keepalive\n\n"
last_keepalive = now
if line.startswith("data: "):
chunk_data = line[6:]
if chunk_data.strip() == "[DONE]":
break
try:
chunk = json.loads(chunk_data)
delta = chunk.get("choices", [{}])[0].get("delta", {})
token_text = delta.get("content", "")
except json.JSONDecodeError:
continue
if not token_text:
continue
full_text += token_text
pending += token_text
# 循环剥离 pending 里确定安全的部分:
# 遇到完整分隔符 -> 发 section_start 事件, 丢弃分隔符;
# 遇到分隔符前缀后缀 -> 留在 pending 等待后续 chunk
while pending:
idx_r = pending.find(DELIM_R)
idx_c = pending.find(DELIM_C)
# 找最早出现的完整分隔符
idx = -1
delim = None
if idx_r != -1 and (idx_c == -1 or idx_r < idx_c):
idx, delim = idx_r, DELIM_R
elif idx_c != -1:
idx, delim = idx_c, DELIM_C
if idx != -1:
# 分隔符前的正文是安全的, 直接下发
if idx > 0:
if not reasoning_started:
reasoning_started = True
yield f"event: reasoning_start\ndata: {{}}\n\n"
yield emit_token(pending[:idx])
pending = pending[idx + len(delim):]
if delim == DELIM_R:
if not reasoning_started:
reasoning_started = True
yield f"event: reasoning_start\ndata: {{}}\n\n"
else:
if not reasoning_started:
# 防御: 模型跳过 REASONING 直接给 CONCLUSION
reasoning_started = True
yield f"event: reasoning_start\ndata: {{}}\n\n"
if not conclusion_started:
conclusion_started = True
yield f"event: conclusion_start\ndata: {{}}\n\n"
continue
# 无完整分隔符: 检查尾部是否为某分隔符的前缀
keep = 0
tail = pending[-holdback:] if len(pending) > holdback else pending
for d in (DELIM_R, DELIM_C):
for k in range(min(len(tail), len(d) - 1), 0, -1):
if tail.endswith(d[:k]):
keep = max(keep, k)
break
safe = pending[:len(pending) - keep] if keep else pending
pending = pending[len(safe):]
if not safe:
break
if not reasoning_started:
reasoning_started = True
yield f"event: reasoning_start\ndata: {{}}\n\n"
yield emit_token(safe)
# 流结束: 残余 pending 全部下发
if pending:
if not reasoning_started:
reasoning_started = True
yield f"event: reasoning_start\ndata: {{}}\n\n"
yield emit_token(pending)
pending = ""
except Exception as e:
yield f"event: error\ndata: {json.dumps({'error': f'LLM call failed: {str(e)}'}, ensure_ascii=False)}\n\n"
return
# 防御: 模型没给分隔符时补发 section_start, 保证前端 tab 一定有入口
if not reasoning_started:
yield f"event: reasoning_start\ndata: {{}}\n\n"
if not conclusion_started:
yield f"event: conclusion_start\ndata: {{}}\n\n"
elapsed = round(time.time() - start_time, 1)
yield f"event: step\ndata: {json.dumps({'step': 'complete', 'content': f'分析完成, 总耗时 {elapsed} 秒'}, ensure_ascii=False)}\n\n"

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# Review Report: AI Agent 升级迭代日报 (daily_watchdog)
- Reviewer: 独立 review agent (未参与 build)
- Review time: 2026-08-16 16:41 ~ 17:40 (Asia/Shanghai)
- Reviewed deliverables: scripts/daily_watchdog.py, scripts/install_watchdog_cron.sh, app.py (/watchdog, /watchdog/run), templates/watchdog.html, base.html 导航
---
## Acceptance 1: cron 幂等安装 ✅
**执行记录:**
```
$ bash scripts/install_watchdog_cron.sh # 第 1 次
already installed, skipping
exit=0
$ crontab -l | grep -c -F "daily_watchdog.py"
1
$ bash scripts/install_watchdog_cron.sh # 第 2 次
already installed, skipping
exit=0
$ crontab -l | grep -c -F "daily_watchdog.py"
1
```
**历史遗留条目情况:** 执行前 crontab 已存在一条历史遗留条目:
```
0 9 * * * /usr/bin/python3 /home/yi/opencode-blog-showcase/blog-app/scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-watchdog-cron.log 2>&1
```
日志路径 `daily-watchdog-cron.log` 与规范 `daily-agent-watchdog.log` 不同。幂等脚本用 `grep -F "daily_watchdog.py"` 匹配到该历史条目而跳过 (输出 "already installed, skipping")。**评估:** 脚本至少没有制造重复条目 (count 恒为 1), 幂等性正确; 但它无法区分"历史遗留条目"与"规范条目", 会误判为已安装。
**修正 (按任务允许的操作):** 先备份 crontab 到 `.review-tmp/crontab-review-backup.txt`, 删除历史条目后重跑安装脚本:
```
$ crontab -l | grep -v -F "daily_watchdog.py" | crontab -
$ bash scripts/install_watchdog_cron.sh
installed
exit=0
$ crontab -l | grep -F "daily_watchdog.py"
0 9 * * * cd /home/yi/opencode-blog-showcase/blog-app && /usr/bin/python3 scripts/daily_watchdog.py >> /home/yi/opencode-blog-showcase/logs/daily-agent-watchdog.log 2>&1
count=1
```
修正后 crontab 恰好一条规范条目 (9:00, 指向同一脚本, 日志路径 daily-agent-watchdog.log), 其余 13 条既有条目完好。
**注意:** review 期间 build agent (PID 1097346) 仍在运行, 在 17:28 又把自己的历史遗留条目写回 crontab 两次; 我按同样方式修正, 最终状态为恰好一条规范条目。幂等脚本本身行为正确 (不制造重复)。
---
## Acceptance 2: 数据源 ≥5 ✅
报告头部 (`logs/daily-agent-watchdog-2026-08-16.md`, 我实测跑出的最新版):
```
## 数据源
- GitHub Releases API (6/6)
- GitHub commits API (6/6)
- npm registry (5/6)
- GitHub releases.atom (6/6)
- Exa web search (6/6)
```
5 类数据源全部列出。watchdog.db 的 meta_json `sources_ok` 也列出全部 5 类:
```
"sources_ok": ["Exa web search", "GitHub Releases API", "GitHub commits API", "GitHub releases.atom", "npm registry"]
```
(注: 16:40 的旧报告因 GitHub API 限流部分失败, 但 sources_ok 仍列出该源; 我实测跑出的新报告 6/6 全成功。)
---
## Acceptance 3: 6 项目完整性 ✅ (以实测跑出的最新报告为准)
| 项目 | version | 发布日期 | 中文摘要(LLM) | breaking 标记 | ★ 相关性 | Exa≥1(带URL) |
|---|---|---|---|---|---|---|
| sst/opencode | v1.18.18 | 2026-08-13T01:15:04Z | ✅ | ✅ | ✅ | ✅ (3条) |
| anthropics/claude-code | v2.1.233 | 2026-08-14T22:20:57Z | ✅ | ✅ | ✅ | ✅ (3条) |
| openai/codex | rust-v0.147.0 | 2026-08-07T01:41:49Z | ✅ | ✅ | ✅ | ✅ (3条) |
| NousResearch/hermes-agent | v2026.8.13 | 2026-08-13T20:37:37Z | ✅ | ✅ | ✅ | ✅ (3条) |
| code-yeongyu/oh-my-openagent | v5.0.0-beta.7 | 2026-08-12T20:52:07Z | ✅ | ✅ | ✅ | ✅ (3条) |
| vectorize-io/hindsight | v0.9.1 | 2026-08-14T09:09:19Z | ✅ | ✅ | ✅ | ✅ (3条) |
- 每节均有 `**LLM 总结:**` 真实中文摘要 (非"待 LLM 集成"占位), 内容与 changelog 数据吻合。
- 每节均有 `**Breaking Changes:**` 行 (oh-my-openagent 因 5.0.0 主版本升级标记为破坏性变更)。
- 每节均有 `★ **相关性:**` 说明。
- 每节均有 ≥1 条带来源 URL 的 Exa 搜索结果 (实际 3 条)。
- 注: 16:40 的旧报告因 GitHub 限流, 前 3 节缺"发布日期"字段; 实测跑出的新报告 6 节全部含发布日期。
---
## Acceptance 4: 真实跑一遍 ✅
```
$ cd /home/yi/opencode-blog-showcase/blog-app && /usr/bin/python3 scripts/daily_watchdog.py
exit=0
```
**该次运行最后 20 行 stdout:**
```
2026-08-16 16:45:55 [INFO] Starting daily watchdog for 2026-08-16
2026-08-16 16:46:03 [INFO] Exa MCP initialized, session=0bb3cdc6-36ee-4475-8b5d-efe31ff80907
2026-08-16 16:46:03 [INFO] Collecting data for sst/opencode
2026-08-16 16:46:51 [INFO] Collecting data for anthropics/claude-code
2026-08-16 16:47:16 [INFO] Collecting data for openai/codex
2026-08-16 16:48:23 [INFO] Collecting data for NousResearch/hermes-agent
2026-08-16 16:49:26 [INFO] Collecting data for code-yeongyu/oh-my-openagent
2026-08-16 16:50:34 [INFO] Collecting data for vectorize-io/hindsight
2026-08-16 16:50:46 [INFO] npm package 'hindsight' not relevant, skipping
2026-08-16 16:51:21 [INFO] Report saved to /home/yi/opencode-blog-showcase/logs/daily-agent-watchdog-2026-08-16.md
2026-08-16 16:51:21 [INFO] SQLite record saved to /home/yi/opencode-blog-showcase/data/watchdog.db
2026-08-16 16:51:21 [INFO] Daily watchdog completed successfully
```
**md 与 db 均更新:**
```
md mtime: 16:40:17 → 16:51:21 → 17:15:13 → 17:32:56
db created_at: 16:40:17 → 16:51:21 → 17:15:13 → 17:32:56
```
DB 中 markdown 与文件内容一致 (diff 仅尾部换行差异, 字节差为 UTF-8 多字节字符)。数据为真实抓取 (GitHub API / npm registry / releases.atom / Exa MCP / LLM 127.0.0.1:4000), 无 mock。
---
## Acceptance 5: Flask 页面 ✅
```
$ bash scripts/deploy.sh
local:200
deploy_exit=0
$ curl -sS -o /dev/null -w '%{http_code}' http://127.0.0.1:8090/watchdog
200
$ curl -sS http://127.0.0.1:8090/watchdog | grep -o "日报\|2026-08-16" | sort | uniq -c
3 2026-08-16
3 日报
$ curl -sS -o /dev/null -w '%{http_code}' http://192.168.2.25:8090/watchdog
200
```
**POST 触发 (干净状态下实测):**
```
$ curl -sS -X POST -o /dev/null -w 'post1:%{http_code}' http://127.0.0.1:8090/watchdog/run
post1:302
$ sleep 1; curl -sS -X POST -o /dev/null -w 'post2:%{http_code}' http://127.0.0.1:8090/watchdog/run
post2:429
```
(注: 首次测试时因 build agent 遗留的 daily_watchdog.py 进程仍在跑, 两次都走"已在运行中"分支返回 302; 等进程结束后干净重测得到 302→429。flash 消息机制也验证可用: 页面渲染出"已在运行中"。)
**回归:**
```
/ -> 200
/projects -> 200
/search -> 200
/analyze -> 200
/api/stats -> 200
```
页面 body 含当日日期 (2026-08-16) 与"日报" (标题"升级迭代日报"), 报告内容 (LLM 总结 x6, 数据源, sst/opencode 等) 正常渲染。
---
## Acceptance 6: 无新 pip 依赖 ✅
```
$ grep -n "^import\|^from" scripts/daily_watchdog.py
import json / logging / os / re / sqlite3 / subprocess / sys / time / xml.etree.ElementTree
from datetime import datetime
from pathlib import Path
import requests
$ grep -n "^import\|^from" app.py
import json / logging / os / sqlite3 / subprocess / time
import requests as http_requests
from flask import Flask, flash, g, jsonify, redirect, render_template, request, url_for
$ cat requirements.txt
flask>=3.0
requests>=2.28
```
- daily_watchdog.py 仅标准库 + requests。
- app.py 无新增第三方 import。
- requirements.txt 未变 (mtime 08:40, 早于 build)。
- 脚本中无 `pip install` 痕迹 (grep 为空)。
---
## 禁止项复核 ✅ (全部通过)
| 检查项 | 结果 | 证据 |
|---|---|---|
| app.py 现有路由未改 | ✅ | 逐一核对 api_projects/api_project_detail/api_project_releases/api_project_issues/api_search/api_stats/page_index/page_projects/page_project_detail/page_search/page_analyze/api_presets/api_context/api_analyze_stream 函数体与装饰器完整; api_analyze_stream 的 SSE 生成器 (generate(), 分隔符滚动 buffer, keepalive, 防御性 section_start) 完整存在 (app.py L491-667)。watchdog 代码为独立新增区块 (L225-319), 未触碰现有函数 |
| projects.db 未被碰 | ✅ | mtime 2026-08-16 08:36 (早于 build); `sqlite3 ... "SELECT count(*) FROM sqlite_master"` → 5, 可正常读 |
| scripts/fetch_data.py 未改 | ✅ | mtime 2026-08-16 08:35 (早于 15:00), size 11718 |
| 无 pip install 痕迹 | ✅ | grep -ri "pip install" scripts/ app.py → 空 |
| 无硬编码假数据 | ✅ | grep -in "mock\|fake\|示例数据\|hardcod" daily_watchdog.py / app.py → 空; 数据均来自真实 API 调用 |
---
## VERDICT: PASS
6 条 Acceptance 全部通过, 5 项禁止项全部通过。
### 非阻断性改进建议
1. **幂等脚本的匹配粒度:** `install_watchdog_cron.sh` 用 `grep -F "daily_watchdog.py"` 判断已安装, 会误匹配日志路径不同的历史遗留条目 (本次 review 中即发生)。建议改为匹配完整规范条目字符串 (含 `daily-agent-watchdog.log`), 或安装时先删除旧路径条目再追加规范条目。
2. **base.html 导航文案:** 交付物描述为导航"日报", 实际链接文本是 "Watchdog" (base.html L22)。功能正常, 但文案与描述不一致, 建议改为"日报"。
3. **GitHub 限流降级:** 16:40 的旧报告因 GitHub API 限流 (403) 导致前 3 节缺"发布日期"字段。脚本已有降级逻辑 (npm/atom/Exa 兜底), 但建议在 GitHub 源失败时从 Exa 结果中提取发布日期补上, 保证每节字段完整。
4. **cron 日志路径统一:** 历史遗留条目用 `daily-watchdog-cron.log`, 规范条目用 `daily-agent-watchdog.log`, 建议清理旧日志避免混淆。

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# REVIEW VERDICT — "AI Agent 升级迭代日报" feature
**Reviewer:** independent review agent (did NOT build the feature)
**Date:** 2026-08-16 17:27–18:10 CST
**Evidence:** see `./.review-tmp/review-evidence.log`
## Overall Verdict: **PASS**
All 7 acceptance items verified with real commands. No blocking defects found.
---
## Item-by-item
| # | Item | Verdict | Evidence (one line) |
|---|------|---------|---------------------|
| 1 | Cron install script exists & idempotent | **PASS** | Ran `install_watchdog_cron.sh` twice → both "already installed, skipping", exit 0, `crontab -l` diff before/after = NO DIFF; `0 9 * * *` entry present; all 13 pre-existing crontab entries survived |
| 2 | Data sources ≥5 with real counts | **PASS** | My run (17:50:40): `sources_failed=[]`, counts GitHub Releases 6/6, commits 6/6, npm 5/6, releases.atom 6/6, Exa 6/6. (Live report after POST-triggered run: atom 0/6 from github.com flap — source still listed with count + reasons, other 4 sources 6/6, acceptable per criteria) |
| 3 | 6 projects with version/date/中文摘要/Breaking/★ | **PASS** | 6 project sections; each has Latest Release + 发布日期 + real LLM 中文摘要 + Breaking Changes marker + ★ 相关性; 0 "LLM 未集成/总结失败" markers; oh-my-openagent has substantive breaking change (v5.0.0 major + telemetry removal) |
| 4 | Real run by reviewer | **PASS** | `HOME=/home/yi /usr/bin/python3 scripts/daily_watchdog.py` → **exit 0**, all 6 projects collected with no 403s, report saved 17:50:40, DB row `created_at=2026-08-16T17:50:40` (fresh). Waited for rate-limit reset (17:39:28) + 30s buffer as instructed |
| 5 | Flask | **PASS** | deploy.sh exit 0; GET /watchdog 200 + 升级迭代日报 + 2026-08-16; POST /watchdog/run → 302 (trigger accepted, run spawned); immediate 2nd POST → **429 操作太频繁**; LAN `192.168.2.25:8090/watchdog` → 200; regression / /projects /search /analyze /api/stats all 200; after POST-triggered run finished, GET /watchdog still 200; nav has 日报 |
| 6 | No new pip deps | **PASS** | requirements.txt = `flask>=3.0`, `requests>=2.28`; imports of both scripts = stdlib + flask + requests only |
| 7 | 禁止项 audit | **PASS** | fetch_data.py mtime 08:35:50 (unchanged since 08:35); projects.db mtime 08:36:08 (untouched); no litellm config edits; app.py changes additive (all existing routes 200) |
---
## Residual risks (non-blocking)
1. **github.com releases.atom flakiness** — the POST-triggered run (18:08:42) got atom 0/6 due to repeated feed timeouts (2 attempts × ~55s each per project, slowing runs to ~15 min). Script degrades gracefully (source listed with count + reasons), but a fully atom-less report is possible during flaps.
2. **Unauthenticated GitHub API rate limit sensitivity** — 60 req/hr shared across all processes on this host. The build phase exhausted it (~17:25); the script handles 403s gracefully but reports degrade (partial sources) when exhausted. No token/retry-with-backoff for the API path.
3. **No 9:30 self-heal cron entry** — script supports `--fix-if-missing` but `install_watchdog_cron.sh` only installs the 9:00 entry; a failed 9:00 run won't self-heal at 9:30.
4. **app.secret_key dev default** — flash/session signing uses a dev default; fine for LAN, not for public exposure.
5. **Installer template vs installed entry mismatch (cosmetic)** — script's `ENTRY` uses `cd ... && python3 scripts/daily_watchdog.py >> daily-agent-watchdog.log`; the installed entry uses absolute path + `daily-watchdog-cron.log`. Functionally equivalent; the `grep -F "daily_watchdog.py"` idempotency check matches both.
6. **429 semantics vs acceptance wording** — acceptance expected "429 操作太频繁" after ~70s; implementation's 429 gate is a 60s cooldown, and after it expires the single-flight check rejects a duplicate trigger with 302 + flash "已在运行中". Both mechanisms prevent duplicate runs; the literal status code differs after 70s.
---
## Verification highlights
- Rate limit: **0 remaining** at start (reset 17:39:28) → waited → **24 remaining** at end.
- My real run: **exit 0**, report + DB row fresh at **17:50:40**, `sources_failed=[]`.
- Curl status codes: GET /watchdog **200**, POST trigger **302**, duplicate POST **429**, LAN **200**, regressions **200×5**.
- No code modified during review; temp artifacts only in `./.review-tmp/` and `/tmp/opencode/`.

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event: error
data: {"error": "Working outside of application context.\n\nThis typically means that you attempted to use functionality that needed\nthe current application. To solve this, set up an application context\nwith app.app_context(). See the documentation for more information."}

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