feat(ai): 设置里加「AI 生成队列」，看得见后台在算什么
队列本来是完全不可见的：页面上一句「排队生成中」说不出自己是下一个、第二十 个，还是已经放弃了——网关挂掉的时候，「还在生成」和「永远不会好」长得一模 一样。今天排查就是这么排的。 - GET /analysis/insight/queue 返回队列（running 在前，其次按优先级和年龄， 和 worker 实际取任务的顺序一致）、已生成的解读、scope 名到中文标签的映射 （前端不必再抄一份），以及消费者的限流配置 - POST /analysis/insight/queue/retry：手动把「已放弃」的重新排队，不等冷却。 自动重试要等冷却是为了不去捶一个正在抽风的上游；人按下重试是他自己判断值得 再试一次 - 页面在 设置 → AI 生成队列。插队的任务标「插队」——这是整个界面最想让人看见 的一件事：为什么是它排在最前面 - 「已生成」单独列：队列空了意味着「没有待办」，不是「什么都没生成过」， 没有这一节这两件事在界面上没法区分 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
ericwyuan
@@ -168,8 +168,23 @@ def insight():
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@bp.route("/insight/queue", methods=["GET"])
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@require_auth
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def insight_queue():
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"""What the coach still has to generate — for a progress indicator."""
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"""The coach's queue: what is running, what is waiting, what gave up.
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Also lists what has already been generated, because "nothing queued" and
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"nothing generated" look the same from the queue alone and mean opposite
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things.
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"""
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return jsonify({
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"pending": ai_jobs.pending_count(g.user_id),
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"enabled": ai_jobs.ENABLED,
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"jobs": ai_jobs.list_jobs(g.user_id),
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"insights": analysis_svc.list_insights(g.user_id),
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"scopes": {name: scope.label for name, scope in scopes.SCOPES.items()},
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"settings": ai_jobs.settings(),
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})
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@bp.route("/insight/queue/retry", methods=["POST"])
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@require_auth
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def insight_queue_retry():
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"""Re-queue everything that gave up, without waiting out the cooldown."""
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return jsonify({"pending": ai_jobs.retry_failed(g.user_id)})
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@@ -571,6 +571,22 @@ def _run_job(user_id, kind, subject):
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jobs.set_runner(_run_job)
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def list_insights(user_id, limit=60):
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"""Stored answers, newest first — what the coach has actually produced."""
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rows = query_all(
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"SELECT kind, subject, model, upstream, created_at FROM ai_insights "
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"WHERE user_id = ? ORDER BY created_at DESC",
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[user_id],
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)
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return [{
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"kind": r["kind"],
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"subject": r["subject"],
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"model": r["model"],
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"upstream": r["upstream"],
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"generatedAt": r["created_at"],
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} for r in rows[:limit]]
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def clear_insight_cache(user_id, kind=None):
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if kind:
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execute(
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@@ -197,6 +197,60 @@ def status_of(user_id, kind, subject):
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}
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def list_jobs(user_id, limit=60):
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"""The queue as it stands, for the 设置 screen.
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Ordered the way the worker will actually take them — priority, then age —
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so the list reads as "what happens next" rather than as a table of rows.
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Finished jobs come last: they are history, not queue.
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"""
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rows = query_all(
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"SELECT * FROM ai_jobs WHERE user_id = ? "
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"ORDER BY CASE status WHEN 'running' THEN 0 WHEN 'pending' THEN 1 "
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"WHEN 'failed' THEN 2 ELSE 3 END, priority ASC, created_at ASC",
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[user_id],
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)
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return [{
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"kind": r["kind"],
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"subject": r["subject"],
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"status": r["status"],
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"priority": r["priority"],
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# The queue only distinguishes "the user is looking at this" from
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# "backfill"; showing the raw number would mean explaining the scale.
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"interactive": r["priority"] <= PRIORITY_INTERACTIVE,
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"attempts": r["attempts"],
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"maxAttempts": MAX_ATTEMPTS,
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"error": r.get("error"),
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"updatedAt": r.get("updated_at"),
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} for r in rows[:limit]]
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def settings():
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"""What the consumer is configured to do, for the same screen."""
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return {
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"enabled": ENABLED,
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"concurrency": MAX_CONCURRENT,
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"gapSeconds": GAP_SECONDS,
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"maxAttempts": MAX_ATTEMPTS,
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"retryAfterSeconds": FAILED_RETRY_SECONDS,
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}
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def retry_failed(user_id):
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"""Put every given-up job back in the queue, now, at the user's request.
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The automatic retry waits out a cooldown so a flapping upstream is not
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hammered; a person pressing 重试 has decided it is worth trying again.
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"""
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execute(
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"UPDATE ai_jobs SET status = 'pending', attempts = 0, error = NULL, "
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"holder = NULL, claimed_at = NULL, updated_at = ? "
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"WHERE user_id = ? AND status = 'failed'",
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[_iso(_now()), user_id],
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)
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return pending_count(user_id)
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def pending_count(user_id=None):
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sql = "SELECT COUNT(*) AS n FROM ai_jobs WHERE status IN ('pending', 'running')"
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params = []
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@@ -1105,3 +1105,64 @@ class TestGatewayCourtesy:
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def test_there_is_a_gap_between_jobs(self):
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"""Back-to-back is what saturates a four-thread box."""
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assert jobs.GAP_SECONDS > 0
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class TestQueueScreen:
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def test_queue_endpoint_requires_auth(self, client):
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assert client.get("/api/analysis/insight/queue").status_code == 401
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assert client.post("/api/analysis/insight/queue/retry").status_code == 401
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def test_lists_jobs_labels_and_limits(self, client, auth, month):
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client.get("/api/analysis/insight?scope=sleep", headers=auth)
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body = client.get("/api/analysis/insight/queue", headers=auth).get_json()
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assert body["pending"] >= 1
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assert any(j["kind"] == "sleep" for j in body["jobs"])
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assert body["scopes"]["sleep"] == "睡眠", "the UI must not restate the list"
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assert body["settings"]["concurrency"] == jobs.MAX_CONCURRENT
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def test_an_open_screen_is_marked_as_having_jumped_the_queue(
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self, client, auth, month
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):
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jobs.enqueue(month["id"], "trends", "2026-08-30", priority=jobs.PRIORITY_PREFETCH)
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client.get("/api/analysis/insight?scope=sleep", headers=auth)
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by_kind = {j["kind"]: j for j in
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client.get("/api/analysis/insight/queue", headers=auth).get_json()["jobs"]}
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assert by_kind["sleep"]["interactive"] is True
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assert by_kind["trends"]["interactive"] is False
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def test_running_jobs_are_listed_before_waiting_ones(self, client, auth, month):
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jobs.enqueue(month["id"], "health", "a")
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jobs.enqueue(month["id"], "sleep", "b")
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jobs._claim_next()
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listed = client.get("/api/analysis/insight/queue", headers=auth).get_json()["jobs"]
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assert listed[0]["status"] == "running"
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def test_generated_answers_are_listed_separately(
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self, client, auth, month, gateway, monkeypatch
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):
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"""An empty queue means "nothing left to do", not "nothing was done" —
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the two look the same without this."""
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answer(monkeypatch, json.dumps({
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"headline": "h", "points": [], "actions": [], "confidence": "low",
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}, ensure_ascii=False))
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analysis_svc.generate_scope_insight(month["id"], "sleep")
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body = client.get("/api/analysis/insight/queue", headers=auth).get_json()
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assert any(i["kind"] == "sleep" for i in body["insights"])
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def test_retry_puts_given_up_jobs_back(self, client, auth, month):
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jobs.enqueue(month["id"], "sleep", "s")
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row = jobs._claim_next()
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for _ in range(jobs.MAX_ATTEMPTS):
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jobs._finish(row["id"], "boom")
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assert jobs.status_of(month["id"], "sleep", "s")["status"] == "failed"
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resp = client.post("/api/analysis/insight/queue/retry", headers=auth)
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assert resp.status_code == 200
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assert jobs.status_of(month["id"], "sleep", "s")["status"] == "pending"
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assert jobs.status_of(month["id"], "sleep", "s")["attempts"] == 0
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def test_the_queue_is_per_account(self, client, auth, month, make_user):
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other = make_user("other@example.com")
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jobs.enqueue(other["id"], "sleep", "s")
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body = client.get("/api/analysis/insight/queue", headers=auth).get_json()
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assert body["jobs"] == []
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153
client/src/pages/AiQueue.css
Normal file
153
client/src/pages/AiQueue.css
Normal file
@@ -0,0 +1,153 @@
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/* AI 生成队列 —— 设置里的一个只读视图，看后台在算什么。 */
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.aq-note {
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background: var(--surface-1);
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border: 1px solid var(--border);
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border-radius: 14px;
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padding: 0.8rem 0.9rem;
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margin-bottom: 1.25rem;
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}
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.aq-note p {
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margin: 0;
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font-size: 0.82rem;
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line-height: 1.6;
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color: var(--text-secondary);
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}
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.aq-limits {
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margin-top: 0.5rem !important;
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padding-top: 0.5rem;
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border-top: 1px solid var(--grid);
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font-size: 0.76rem !important;
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color: var(--text-muted) !important;
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}
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.aq-off {
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background: var(--accent-soft);
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border-radius: 10px;
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padding: 0.6rem 0.7rem;
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margin-bottom: 1rem;
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font-size: 0.82rem;
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color: var(--text-secondary);
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}
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.aq-head {
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display: flex;
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align-items: center;
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justify-content: space-between;
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gap: 0.5rem;
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}
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.aq-head .sec-title { margin: 0; }
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.aq-retry {
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background: none;
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border: none;
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padding: 0;
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font-size: 0.78rem;
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font-weight: 600;
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color: var(--accent);
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cursor: pointer;
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}
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.aq-retry:disabled { color: var(--text-muted); cursor: default; }
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.aq-list {
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list-style: none;
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margin: 0.4rem 0 0;
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padding: 0;
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background: var(--surface-1);
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border: 1px solid var(--border);
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border-radius: 14px;
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overflow: hidden;
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}
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.aq-row {
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padding: 0.6rem 0.85rem;
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border-bottom: 1px solid var(--grid);
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}
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.aq-row:last-child { border-bottom: none; }
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.aq-main {
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display: flex;
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align-items: center;
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gap: 0.4rem;
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}
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.aq-name {
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flex: 1;
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font-size: 0.86rem;
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font-weight: 600;
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color: var(--text-primary);
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}
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/* The one thing this screen exists to make visible: why this row is first. */
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.aq-jump {
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font-size: 0.62rem;
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font-weight: 700;
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padding: 0.1rem 0.35rem;
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border-radius: 5px;
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color: var(--accent);
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background: var(--accent-soft);
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}
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.aq-status {
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font-size: 0.72rem;
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font-weight: 600;
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color: var(--text-muted);
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display: inline-flex;
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align-items: center;
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gap: 0.28rem;
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white-space: nowrap;
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}
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.aq-status-running { color: var(--accent); }
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.aq-status-failed { color: var(--status-critical); }
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.aq-status-done { color: var(--status-good); }
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.aq-dot {
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width: 0.42rem;
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height: 0.42rem;
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border-radius: 50%;
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background: var(--accent);
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animation: aq-pulse 1.1s ease-in-out infinite;
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}
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@keyframes aq-pulse {
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0%, 100% { opacity: 1; }
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50% { opacity: 0.25; }
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}
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.aq-meta {
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display: flex;
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gap: 0.6rem;
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margin-top: 0.15rem;
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font-size: 0.7rem;
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color: var(--text-muted);
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}
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/* The subject can be long (a metric window, an activity id); it truncates so
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one odd row cannot widen the list past the screen. */
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.aq-subject {
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flex: 1;
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min-width: 0;
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overflow: hidden;
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text-overflow: ellipsis;
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white-space: nowrap;
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font-variant-numeric: tabular-nums;
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}
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.aq-err {
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margin: 0.3rem 0 0;
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font-size: 0.7rem;
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line-height: 1.45;
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color: var(--status-critical);
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word-break: break-word;
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}
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.aq-hint {
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margin: 0.45rem 0 0;
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font-size: 0.72rem;
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color: var(--text-muted);
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}
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199
client/src/pages/AiQueuePage.tsx
Normal file
199
client/src/pages/AiQueuePage.tsx
Normal file
@@ -0,0 +1,199 @@
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import { useCallback, useEffect, useRef, useState } from 'react';
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import { apiClient, AiJob, AiQueue, errorMessage, parseUtc } from '../services/api';
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import Screen from '../components/Screen';
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import Skeleton from '../components/Skeleton';
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import './AiQueue.css';
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|
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/* Fast enough that a job starting or finishing shows up while you are looking
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at the screen — this is the one place whose whole purpose is watching the
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queue move. Stopped on unmount so it does not poll from a background tab. */
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const POLL_MS = 5000;
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const STATUS_LABEL: Record<string, string> = {
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running: '生成中',
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pending: '排队中',
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failed: '已放弃',
|
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done: '已完成',
|
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};
|
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|
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function relative(value: string | null): string {
|
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const at = parseUtc(value);
|
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if (!at) return '';
|
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const seconds = Math.round((Date.now() - at.getTime()) / 1000);
|
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if (seconds < 60) return `${Math.max(seconds, 0)} 秒前`;
|
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if (seconds < 3600) return `${Math.round(seconds / 60)} 分钟前`;
|
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if (seconds < 86400) return `${Math.round(seconds / 3600)} 小时前`;
|
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return `${Math.round(seconds / 86400)} 天前`;
|
||||
}
|
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|
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function JobRow({ job, label }: { job: AiJob; label: string }) {
|
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return (
|
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<li className={`aq-row aq-${job.status}`}>
|
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<div className="aq-main">
|
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<span className="aq-name">{label}</span>
|
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{job.interactive && job.status !== 'done' && (
|
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<span className="aq-jump" title="因为你打开了这个页面而插到队首">插队</span>
|
||||
)}
|
||||
<span className={`aq-status aq-status-${job.status}`}>
|
||||
{job.status === 'running' && <span className="aq-dot" aria-hidden="true" />}
|
||||
{STATUS_LABEL[job.status] ?? job.status}
|
||||
</span>
|
||||
</div>
|
||||
<div className="aq-meta">
|
||||
<span className="aq-subject">{job.subject}</span>
|
||||
{job.attempts > 0 && (
|
||||
<span>第 {job.attempts}/{job.maxAttempts} 次</span>
|
||||
)}
|
||||
<span>{relative(job.updatedAt)}</span>
|
||||
</div>
|
||||
{job.error && <p className="aq-err">{job.error}</p>}
|
||||
</li>
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* What the AI coach is working on.
|
||||
*
|
||||
* Exists because the queue is otherwise invisible: a screen showing 排队生成中
|
||||
* cannot say whether it is next, twentieth, or given up on — and when the
|
||||
* gateway is down, "still generating" and "never going to" look identical.
|
||||
*/
|
||||
function AiQueuePage() {
|
||||
const [data, setData] = useState<AiQueue | null>(null);
|
||||
const [error, setError] = useState('');
|
||||
const [loading, setLoading] = useState(true);
|
||||
const [retrying, setRetrying] = useState(false);
|
||||
const timer = useRef<number>();
|
||||
const live = useRef(true);
|
||||
|
||||
const load = useCallback(async () => {
|
||||
try {
|
||||
const next = await apiClient.getInsightQueue();
|
||||
if (!live.current) return;
|
||||
setData(next);
|
||||
setError('');
|
||||
} catch (err: any) {
|
||||
if (live.current) setError(errorMessage(err, '读取队列失败'));
|
||||
} finally {
|
||||
if (live.current) setLoading(false);
|
||||
}
|
||||
}, []);
|
||||
|
||||
useEffect(() => {
|
||||
live.current = true;
|
||||
const tick = async () => {
|
||||
await load();
|
||||
if (live.current) timer.current = window.setTimeout(tick, POLL_MS);
|
||||
};
|
||||
tick();
|
||||
return () => { live.current = false; window.clearTimeout(timer.current); };
|
||||
}, [load]);
|
||||
|
||||
const retry = async () => {
|
||||
setRetrying(true);
|
||||
try {
|
||||
await apiClient.retryInsightQueue();
|
||||
await load();
|
||||
} catch (err: any) {
|
||||
setError(errorMessage(err, '重试失败'));
|
||||
} finally {
|
||||
setRetrying(false);
|
||||
}
|
||||
};
|
||||
|
||||
if (loading && !data) {
|
||||
return <Screen title="AI 生成队列" backLink><Skeleton count={4} /></Screen>;
|
||||
}
|
||||
|
||||
const jobs = data?.jobs ?? [];
|
||||
const label = (kind: string) => data?.scopes[kind] ?? (kind === 'briefing' ? '今日晨报' : kind);
|
||||
const active = jobs.filter((j) => j.status === 'running' || j.status === 'pending');
|
||||
const failed = jobs.filter((j) => j.status === 'failed');
|
||||
const settings = data?.settings;
|
||||
|
||||
return (
|
||||
<Screen title="AI 生成队列" backLink subtitle={`${active.length} 项待生成`}>
|
||||
{error && <div className="screen-error">{error}</div>}
|
||||
|
||||
{settings && !settings.enabled && (
|
||||
<div className="aq-off">消费者已关闭（AI_JOBS=false），页面只会显示直接计算的结果。</div>
|
||||
)}
|
||||
|
||||
<section className="aq-note">
|
||||
<p>
|
||||
一次生成要 40 秒到几分钟，所以什么都不在打开页面时现算：页面只负责排队，
|
||||
后台逐个生成。<strong>你打开哪个页面，哪个就插到队首</strong>，同步完成后
|
||||
其余页面按背景优先级慢慢补。
|
||||
</p>
|
||||
{settings && (
|
||||
<p className="aq-limits">
|
||||
同时只跑 {settings.concurrency} 个，每个之间间隔 {settings.gapSeconds} 秒
|
||||
—— 网关是三个项目共用的，跑满会把它打挂。
|
||||
</p>
|
||||
)}
|
||||
</section>
|
||||
|
||||
{!!active.length && (
|
||||
<section className="sec">
|
||||
<h3 className="sec-title">队列</h3>
|
||||
<ul className="aq-list">
|
||||
{active.map((j) => (
|
||||
<JobRow key={j.kind + j.subject} job={j} label={label(j.kind)} />
|
||||
))}
|
||||
</ul>
|
||||
</section>
|
||||
)}
|
||||
|
||||
{!!failed.length && (
|
||||
<section className="sec">
|
||||
<div className="aq-head">
|
||||
<h3 className="sec-title">已放弃</h3>
|
||||
<button className="aq-retry" onClick={retry} disabled={retrying}>
|
||||
{retrying ? '重新排队中…' : '全部重试'}
|
||||
</button>
|
||||
</div>
|
||||
<ul className="aq-list">
|
||||
{failed.map((j) => (
|
||||
<JobRow key={j.kind + j.subject} job={j} label={label(j.kind)} />
|
||||
))}
|
||||
</ul>
|
||||
{settings && (
|
||||
<p className="aq-hint">
|
||||
放弃 {Math.round(settings.retryAfterSeconds / 60)} 分钟后也会自动再试一次。
|
||||
</p>
|
||||
)}
|
||||
</section>
|
||||
)}
|
||||
|
||||
{!active.length && !failed.length && (
|
||||
<p className="screen-note">队列是空的，所有页面的解读都是最新的。</p>
|
||||
)}
|
||||
|
||||
<section className="sec">
|
||||
<h3 className="sec-title">已生成（{data?.insights.length ?? 0}）</h3>
|
||||
{data?.insights.length ? (
|
||||
<ul className="aq-list">
|
||||
{data.insights.map((i) => (
|
||||
<li className="aq-row aq-done" key={i.kind + i.subject}>
|
||||
<div className="aq-main">
|
||||
<span className="aq-name">{label(i.kind)}</span>
|
||||
<span className="aq-status aq-status-done">
|
||||
{i.upstream ?? i.model ?? 'AI'}
|
||||
</span>
|
||||
</div>
|
||||
<div className="aq-meta">
|
||||
<span className="aq-subject">{i.subject}</span>
|
||||
<span>{relative(i.generatedAt)}</span>
|
||||
</div>
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
) : (
|
||||
<p className="screen-note">还没有生成过任何解读。</p>
|
||||
)}
|
||||
</section>
|
||||
</Screen>
|
||||
);
|
||||
}
|
||||
|
||||
export default AiQueuePage;
|
||||
@@ -262,6 +262,13 @@ function SettingsPage() {
|
||||
<span className="set-label">已配对设备</span>
|
||||
<span className="set-chevron" aria-hidden="true">›</span>
|
||||
</Link>
|
||||
|
||||
{FEATURES.ai && (
|
||||
<Link href="/ai-queue/" className="set-row">
|
||||
<span className="set-label">AI 生成队列</span>
|
||||
<span className="set-chevron" aria-hidden="true">›</span>
|
||||
</Link>
|
||||
)}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
|
||||
@@ -16,6 +16,7 @@ import ExercisePage from './pages/ExercisePage';
|
||||
import SleepPage from './pages/SleepPage';
|
||||
import SyncPage from './pages/SyncPage';
|
||||
import SettingsPage from './pages/SettingsPage';
|
||||
import AiQueuePage from './pages/AiQueuePage';
|
||||
import LoginPage from './pages/LoginPage';
|
||||
import NotFoundPage from './pages/NotFoundPage';
|
||||
|
||||
@@ -44,6 +45,7 @@ const SCREENS: Router.RouteParameters[] = [
|
||||
{ path: '/devices/', component: DevicesPage },
|
||||
{ path: '/sync/', component: SyncPage },
|
||||
{ path: '/settings/', component: SettingsPage },
|
||||
{ path: '/ai-queue/', component: AiQueuePage },
|
||||
{ path: '/login/', component: LoginPage },
|
||||
// auth-hub OAuth 回调落地页：LoginPage 的 useEffect 会读取 URL 中的 code
|
||||
// 并调用 /api/auth/callback 交换 token
|
||||
@@ -84,7 +86,7 @@ const TAB_OWNERS: Array<[RegExp, string]> = [
|
||||
[/^\/metric\//, 'trends'],
|
||||
[/^\/(exercise|race|challenges)\/?$/, 'exercise'],
|
||||
[/^\/activity\//, 'exercise'],
|
||||
[/^\/(settings|sync|devices|rating-basis)\/?$/, 'settings'],
|
||||
[/^\/(settings|sync|devices|rating-basis|ai-queue)\/?$/, 'settings'],
|
||||
];
|
||||
|
||||
/** The tab a cold URL should open in, or null for the root and unknown paths. */
|
||||
|
||||
@@ -448,6 +448,38 @@ export type InsightScope =
|
||||
| 'health' | 'sleep' | 'exercise' | 'trends' | 'daily'
|
||||
| 'body' | 'race' | 'bodyAge' | 'challenges' | 'activity';
|
||||
|
||||
/** One entry in the coach's work queue. */
|
||||
export interface AiJob {
|
||||
kind: string;
|
||||
subject: string;
|
||||
status: 'pending' | 'running' | 'failed' | 'done';
|
||||
priority: number;
|
||||
/** Queued because a screen is open, rather than as post-sync backfill. */
|
||||
interactive: boolean;
|
||||
attempts: number;
|
||||
maxAttempts: number;
|
||||
error: string | null;
|
||||
updatedAt: string | null;
|
||||
}
|
||||
|
||||
export interface AiQueue {
|
||||
pending: number;
|
||||
jobs: AiJob[];
|
||||
insights: Array<{
|
||||
kind: string; subject: string; model: string | null;
|
||||
upstream: string | null; generatedAt: string | null;
|
||||
}>;
|
||||
/** Scope name -> its Chinese label, so the UI need not duplicate the list. */
|
||||
scopes: Record<string, string>;
|
||||
settings: {
|
||||
enabled: boolean;
|
||||
concurrency: number;
|
||||
gapSeconds: number;
|
||||
maxAttempts: number;
|
||||
retryAfterSeconds: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface CopilotTurn {
|
||||
role: 'user' | 'assistant';
|
||||
content: string;
|
||||
@@ -818,10 +850,16 @@ class ApiClient {
|
||||
return data;
|
||||
}
|
||||
|
||||
/** How much the coach still has to generate — for a progress hint. */
|
||||
/** The coach's queue: running, waiting, given up, and already generated. */
|
||||
async getInsightQueue() {
|
||||
const { data } = await this.client.get<{ pending: number; enabled: boolean }>(
|
||||
'/analysis/insight/queue'
|
||||
const { data } = await this.client.get<AiQueue>('/analysis/insight/queue');
|
||||
return data;
|
||||
}
|
||||
|
||||
/** Re-queue everything that gave up, without waiting out the cooldown. */
|
||||
async retryInsightQueue() {
|
||||
const { data } = await this.client.post<{ pending: number }>(
|
||||
'/analysis/insight/queue/retry'
|
||||
);
|
||||
return data;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user