name	engineer
description	Implementation rules for database migrations, Python scrapers, and Next.js web for the Engineer agent
applyTo	.github/agents/engineer.agent.md

Engineer Skills

Read this at the start of every session before touching any code.

⚠️ CRITICAL: Canonical File Paths

NEVER write to .github/skills/agents/engineer/ — that path has been deleted. The canonical location is: .github/skills/agents/engineer/SKILL.md and .github/skills/agents/engineer/history.md

Same rule applies to ALL agent skills:

Agent	Canonical path
engineer	`.github/skills/agents/engineer/`
researcher	`.github/skills/agents/researcher/`
scraper-expert	`.github/skills/agents/scraper-expert/`
scraper-dev	`.github/skills/agents/scraper-dev/`
architect	`.github/skills/agents/architect/`
tester	`.github/skills/agents/tester/`

Writing to a top-level skills/<name>/ path recreates deleted directories. Always use skills/agents/<name>/.

Workflow Automation Guardrails

For alert-driven automation, split into two stages: triage first, auto-fix second. Never mix high-risk remediation into the triage stage.
Keep high-risk classes (for example selector drift or source-structure breakage) in human-review only paths; safe auto-fix should only touch deterministic transforms.
Every LINE alert message must include a direct next action (exact workflow name + trigger mode). A warning without CTA is operational noise.
For publication-related pending QA, clean by source and status transition first. If a source is mixed-content like eslite_spectrum, keep the rule set conservative and do not fold promotional talk events into the same batch.
Venue homepage repairs (location_url) are provenance-sensitive. The only safe auto-fix target is the venue's own official homepage; never promote source_url, official_url, or organizer_url into location_url just because a search hit looks plausible.
If a venue cannot be verified to have its own homepage, leave the report pending for human review. Shared municipal spaces and parent-organization pages are especially prone to false positives.

Agent Handoff Reliability

For workflow agents, treat handoffs as a required output path, not optional UI polish.
If a handoff defines prompt:, set send: true when the intended behavior is one-click execution.
Pre-ship check for agent changes: verify target agent names resolve correctly and at least one post-task handoff exists for the expected next action.
Every new agent file must include handoffs: at creation time. An agent with no handoffs leaves users stranded after task completion.

CSS Selector Specificity Pitfalls

[attr='x'].class = same element (no space). [attr='x'] .class = descendant combinator (space = different element).
When combining an attribute selector with a class on the same element (e.g., data-preserve-theme and group on the same <Link>), never insert a space between them.
For theme-exception rules like [data-preserve-theme='light'].group:hover h2, verify: (1) the attribute and the class are on the same DOM element, (2) combined specificity beats any competing rule, (3) use getComputedStyle via Playwright to confirm hover color changes.

E2E Local Server Prerequisite

When running Playwright smoke tests that navigate to local paths (for example /ja/announcements), start a local Next server first (npm run dev or configured webServer) and verify port 3000 is reachable.
Treat net::ERR_CONNECTION_REFUSED as an execution-environment failure first, not an application regression.
After the test run, stop any background dev server to avoid orphaned processes and cross-session interference.

Admin GPT routes — server-side enum whitelist intersect（2026-05-26 教訓）

Admin OCR/annotate API routes（web/app/api/admin/extract-from-image/route.ts、web/app/api/admin/annotate-event/route.ts）由 GPT 直接輸出 enum 欄位（category[]、event_form、prefecture_code），寫入 DB 前必須做白名單過濾。三道天然防線對此無效：

防線	為何失效
TypeScript	只檢查靜態型別，不檢查 runtime LLM 輸出
DB CHECK constraint	`text[]` 陣列元素無法 CHECK，只能 CHECK 整個陣列存在性
`scraper/annotator.py::_validate_categories()`	只有 daily scraper 路徑會跑，admin route 完全繞過

規則： 兩個 admin route 在 GPT 回傳後、upsert 前必須：

const VALID_CATEGORIES = new Set([
  /* 與 web/lib/types.ts CATEGORIES 同步 */
]);
const sanitized = (parsed.category ?? []).filter((c: string) => VALID_CATEGORIES.has(c));

VALID_CATEGORIES 集合可從 web/lib/types.ts 匯入 CATEGORIES 陣列轉成 Set，避免雙重維護。同理適用 event_form、prefecture_code 等所有 enum 欄位。

Reference incident: 2026-05-26 — event 25e27de9 GPT 自創 photography 入庫，前端顯示 categories.photography raw i18n key（commit 264afed 解了眼前事件，未實作 whitelist filter，列 backlog）。

Database

Always verify a migration has been applied in Supabase before writing code that depends on it. Check: SELECT table_name FROM information_schema.tables WHERE table_name = 'X';
When adding a DB column, wire up the code that populates it in the same commit. Empty columns = silent data gaps.
Wrap non-critical DB inserts (logging, analytics) in try/except. Never let a failed log write break the main pipeline.
supabase/migrations/ must contain only NNN_name.sql files. Never place .md files, smoke-test scripts, validation reports, or any non-migration artifacts in this directory. Supabase CLI and tooling will attempt to run every .sql file in this directory as a migration — a misplaced file will cause schema errors or no-op runs. If a migration agent produces a smoke-test or verification file alongside the SQL, place it anywhere outside supabase/ (e.g. a temp directory or delete it). Example incident: 027_smoke_test.sql, 027_VALIDATION.md, 027_VERIFICATION_REPORT.md were accidentally created in migrations/ by a previous agent and had to be manually deleted (commit chore(migrations): remove non-migration 027 artifacts).
PostgREST COUNT は必ず { count: 'exact', head: true } を使う。 .limit(n) + client-side filter でカウントを計算すると PostgREST の max-rows=1000 silent truncation により 1,000 件超で常に過小表示になる。カウントのみ必要な場合は行データを取得しない head-count クエリを使う：
```
// ❌ client-side count — PostgREST silently truncates at 1000
const { data } = await supabase.from("events").select("id").eq("is_active", true);
const count = data?.length ?? 0;

// ✅ head-count — 正確な COUNT、行データ不要
const { count } = await supabase
  .from("events")
  .select("id", { count: "exact", head: true })
  .eq("is_active", true);
```
複数の COUNT クエリは Promise.all([...]) で並列実行すること（直列 await は不要）。Reference incident: AEO summary cards capped at 1,000 (commit 518b5a8, 2026-05-15).
When a logging table gains new NOT NULL columns (e.g. success, duration_seconds), both the success path and the except block must write those columns explicitly. Pattern from scraper_runs:
```
# success path
{"success": True, "duration_seconds": int(time.time() - start)}
# except block
{"success": False, "duration_seconds": 0}
```
If only the success path is updated, failure rows leave the column NULL and break NOT NULL constraints (or silently insert the default, hiding failures).
Every migration that creates a new table MUST include explicit GRANT statements (Supabase policy change, effective October 30, 2026). Without them, PostgREST/supabase-js returns 42501 permission error silently. Migration 069_explicit_grants.sql retroactively covers all pre-existing tables. Use the tier template in .github/instructions/database.instructions.md §GRANT template:
- Tier A (public-read): GRANT SELECT ON ... TO anon, authenticated, service_role;
- Tier B (admin-only): GRANT SELECT, INSERT, UPDATE, DELETE ON ... TO authenticated, service_role;
- Tier C (service-role only): GRANT SELECT, INSERT, UPDATE, DELETE ON ... TO service_role; Always ALTER TABLE ... ENABLE ROW LEVEL SECURITY before adding GRANTs.
GRANT scope を決める前に「誰が書くか」を Python コードから逆引きする。 RLS ポリシーのみ参照すると書き込み GRANT が漏れる。典型的な漏れパターン：scraper_runs・research_reports は scraper/annotator が service_role で INSERT するため service_role INSERT が必要。creators は admin UI から authenticated が CRUD するため authenticated CRUD が必要。
Admin が UPDATE/DELETE するテーブルには SELECT だけでなく全 DML の RLS policy を migration 時に一括作成する。 CREATE TABLE 時に SELECT policy のみ追加し UPDATE policy を漏らすと、admin UI からの更新が PostgREST により 0-row silent success として返り、JS 側では error: null なので原因特定が困難になる。チェックリスト（admin 操作テーブル）：SELECT / INSERT / UPDATE / DELETE の 4 種 policy を全て作成したか確認すること。参照インシデント：research_reports が UPDATE policy なしのため「標記為已審閱」ボタンが無反応（migration 070、2026-05-15）。

Supabase Client UPDATE — 0-row Silent Success Guard

任何 client-side supabase.from(T).update(...).eq("id", x) 在以下三種情況都會回傳 error: null + 空 data，supabase-js 不會丟錯：

RLS policy 過濾掉（角色不對、anon 落地）
JWT expired，supabase-js 來不及自動 refresh
id 在 DB 不存在

三者透過 error 無法區分。Vercel 滾動部署期間 access token 短暫失效正是情境 (2)，曾於 2026-05-15 在 production 同時打掉 toggle / work 指派 / AI 報錯 checkbox 三個入口。

規則： 後台所有 client-side UPDATE 必須加 .select("id") 並檢查回傳列數，0 列視為失敗：

const { error, data } = await supabase
  .from("events")
  .update(update)
  .eq("id", eventId)
  .select("id");

if (error) {
  alert(`操作失敗：${error.message}`);
} else if (!data || data.length === 0) {
  alert("操作未生效（session 可能已過期），請重新整理頁面後再試。");
} else {
  // success path
}

已知需套用的呼叫點（截至 2026-05-15）：

web/components/IsActiveToggle.tsx handleToggle
web/components/AdminEditClient.tsx handleSave
web/components/AdminEventTable.tsx handleToggleActive / handleBulkToggleActive / handleBulkForceRescrape / category bulk update / handleSaveWork
web/components/AdminCreatorsClient.tsx toggleActive
web/components/AdminReportsTable.tsx 所有 bulk-confirm 路徑

替代設計：高風險寫入改走 server action / route handler 用 service role key，繞過 client JWT 過期問題。

RLS Policy Matrix Completeness Guard（建表時 SELECT/INSERT/UPDATE/DELETE 缺一即 silent failure）

任何含 admin 後台 UPDATE/DELETE 入口的表，建表 migration 必須同時建立對應的 RLS policy。缺失任一動詞的 policy，PostgREST 會靜默拒絕（0 rows affected，error: null），符合「0-row Silent Success」模式——前端看不出來，DB log 也只是普通 RLS deny。

規則： 設計新表 migration 時，逐一檢查 admin UI 是否會對該表執行：

動詞	觸發場景	必要 policy
SELECT	列表頁、詳情頁	`FOR SELECT`
INSERT	新增按鈕、表單送出	`FOR INSERT`
UPDATE	「標記為…」按鈕、toggle、編輯	`FOR UPDATE`
DELETE	「刪除」按鈕	`FOR DELETE`

任一動詞會被 admin UI 觸發但 policy 不存在 → 後續一定要回頭補一支 migration（如 070_research_reports_update_policy.sql）。

已知 incident： Migration 008_research_reports.sql 只建 SELECT policy，admin「標記為已審閱」按鈕 silent failure（2026-05-15 補 migration 070）。

偵測 SQL（在 Supabase Dashboard 跑）：

SELECT tablename, cmd, count(*)
FROM pg_policies
WHERE schemaname = 'public'
GROUP BY tablename, cmd
ORDER BY tablename, cmd;
-- 任何 admin UI 操作的表，cmd 必須涵蓋 SELECT + UPDATE 至少。

Admin Mutation 成對原則（confirm / dismiss / toggle）

admin mutation handler は必ずペアで同じ実装パターンを使う。

confirmReport が server action ならば dismissReport も server action でなければならない。片方だけ昇格させると、残った方が 0-row silent success トラップに落ちる（2026-05-15 handleDismiss 事例）。

チェックリスト（新規 admin mutation を追加する前に確認）：

同じテーブル・同じ権限を必要とする配対 handler が他にないか？
配対 handler が client-side UPDATE のままなら、同時に server action へ昇格させる。
server action は .select("id") + data.length === 0 guard + return { ok: false, error } パターンを必ず含める。
client-side handler は result.ok を確認し、false の場合 alert(result.error) で即時フィードバックを表示する。

// web/app/actions/dismiss-report.ts — server action テンプレート
"use server";
import { createClient } from "@/lib/supabase/server";
export async function dismissReport(reportId: string): Promise<{ ok: boolean; error?: string }> {
  const supabase = await createClient();
  const { error, data } = await supabase
    .from("event_reports")
    .update({ status: "dismissed" })
    .eq("id", reportId)
    .select("id");
  if (error) return { ok: false, error: error.message };
  if (!data || data.length === 0) return { ok: false, error: "0 rows updated" };
  return { ok: true };
}

URL 存在確認 — apex と www の両方を試す

会場・組織の公式サイト有無を curl で確認する際は apex ドメインと www. サブドメインの両方を必ず試すこと。

# ❌ apex のみ確認 — 日本サイトは www なしを DNS に登録しないことが多い
curl -s --max-time 5 -o /dev/null -w "%{http_code}" "https://example.jp/"   # → 000 (DNS 失敗)

# ✅ 両方確認
curl -s --max-time 5 -o /dev/null -w "%{http_code}" "https://example.jp/"     # 000
curl -s --max-time 5 -o /dev/null -w "%{http_code}" "https://www.example.jp/" # 200 ← 正解

000 = curl が DNS 解決に失敗した = 「その変形が存在しない」であり「サイト全体が存在しない」ではない
2xx が返るまで apex / www / 短縮ドメインを試し、すべて失敗した場合のみ「公式サイトなし」と判断する
参照インシデント: coconeri.jp → 000、www.coconeri.jp → 200（2026-05-17、event eeb5b12e）

annotation_status エラーイベントの定期リセット

annotator.py は annotation_status='pending' のみ処理する。'error' になったイベントは自動リトライされない。

確認コマンド（定期的に実行）：

res = sb.table('events').select('id,name_ja', count='exact') \
    .eq('annotation_status','error').eq('is_active', True).execute()
print(f"error count: {res.count}")

リセット手順：

ids = [r['id'] for r in res.data]
sb.table('events').update({'annotation_status': 'pending'}).in_('id', ids).execute()
# その後 python annotator.py を実行

注意事項：

daily_report.py は .limit(5) でエラー件数を表示するため、実際の件数と一致しない。COUNT で別途確認すること。
薄い raw_description（1行のみ）の sub-event も、親イベントのコンテキストを参照することで正常アノテーション可能。
error 件数が多い場合は annotator.py の GPT JSON パースロジックに問題がある可能性もある（レスポンス形式の変化等）。

Async Fetch AbortSignal Timeout Guard（UI 永久 loading 防護）

後台任何「觸發外部 API + 等待結果 + 更新 UI 狀態」的 client-side fetch 必須加 signal: AbortSignal.timeout(N) 防護：

問題場景： fetch("/api/admin/annotate-event", ...) 無 AbortSignal → Vercel function 被 gateway 截斷時（504 但無正常 HTTP 回應），await fetch() 永遠 pending → setAnnotating(false) 不執行 → UI 卡在「標注中，請稍候…」。

規則：

// client-side：呼叫可能耗時 >5s 的 API 一律加 AbortSignal
const res = await fetch("/api/admin/annotate-event", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ eventId }),
  signal: AbortSignal.timeout(58000), // 58s hard cap
});

// API route 端：外部 AI API（OpenAI 等）也必須加 timeout
const openaiRes = await fetch("https://api.openai.com/v1/chat/completions", {
  ...
  signal: AbortSignal.timeout(25000), // 防止超過 Vercel maxDuration
});

已修復（commit 77fc092，2026-05-15）：

AdminEventTable.tsx handleSaveAndAnnotate 的 annotate-event fetch
annotate-event/route.ts OpenAI call
AdminEventTable.tsx handlePublish 補 .select("id") + 0-row guard

Client Component 直接 INSERT 禁止 — Server Action 義務化

Client Component 内で supabase.from(...).insert() を直接呼び出してはならない（admin・一般ユーザー問わず）。

ブラウザ→PostgREST のリクエストがネットワークレベルでハングすると、await は永遠に pending → try/catch は発動しない（thrown error ではなく hanging fetch のため） → setStatus("error") が呼ばれない → ボタンが loading 状態で固まる（2026-05-15 ReportSection commit 53445be、2026-05-20 AdminEventTable Safari hang）。

規則：

ユーザー向けフォームの INSERT（anon・authenticated 問わず）は必ず Server Action で行う。
RLS で anon INSERT を許可していても、ブラウザ直接 INSERT はハング耐性がない。
Safari は特に hang しやすい。Chrome で動いても Safari で再現する。

暫定防護（Server Action 化が間に合わないとき）： withClientTimeout(promise, ms, label) helper で supabase.from(...).insert/.update() を包む。Promise.race + setTimeout で hard cap reject → catch 分岐が必ず発動 → setSaving(false) 復帰。

insert：20 秒
update（軽い）：15 秒
bulk handlers + works fetch 等、Server Action 化が未完了の path 用の保底メカニズム。

完了済み Server Action 化（2026-05-22 commit）： web/components/AdminEventTable.tsx の handleSaveNew / handleSaveAndAnnotate / handlePublish は @/app/actions/admin-events.ts の createEventNoAnnotate / createDraftEvent / publishEvent を呼び出す。共通 admin 認証は @/app/actions/_shared/admin-guard.ts (requireAdmin())。withClientTimeout ラップは defense-in-depth として保持。

残存技術債（同 file 内 7+ 處）： AdminEventTable.tsx の bulk handlers（handleBulkToggleActive / handleBulkForceRescrape / handleBulkRemoveCategory / handleBulkAssignWork / handleBulkAddCategory）と単列 toggle（force_rescrape / is_active）はまだ client-side supabase.from("events").update() を使用。Safari hang が再発したら同 pattern で Server Action 化する。

function withClientTimeout<T>(p: PromiseLike<T>, ms: number, label: string): Promise<T> {
  return new Promise<T>((resolve, reject) => {
    const timer = setTimeout(() => reject(new Error(`${label} timed out after ${ms}ms`)), ms);
    Promise.resolve(p).then(
      (v) => { clearTimeout(timer); resolve(v); },
      (e) => { clearTimeout(timer); reject(e); },
    );
  });
}

annotate-event SELECT 紀律（ユーザー入力欄を守る）

web/app/api/admin/annotate-event/route.ts は 「OCR 已填值は保持、空欄のみ GPT 補完」 パターン：

const cur = (event as Record<string, unknown>)[k];
if (cur === null || cur === undefined || cur === "") {
  returnedFields[k] = v;  // GPT 値で上書き
}

これは SELECT 句で fetch したフィールドにしか効かない。SELECT 漏れ＝ undefined ＝空判定＝サイレント上書き。

規則：

extractionFields 配列に列挙したフィールドは すべて L258 の SELECT 句に含める。
新規「保持したい」フィールドを追加するときは 3 箇所同時編集：
- L258 SELECT 句
- extractionFields 配列（L437 付近）
- 必要なら alwaysOverwriteFields（description 系のみ）
PR レビュー時：extractionFields の各 key が SELECT 句にあるか目視確認。

Reference incident: 2026-05-20 — end_date が extractionFields にあるのに SELECT に無く、ユーザーが画面で選択した end_date が毎回 GPT 幻覚（例：2023-10-14）で上書きされていた（commit e0a5ea8）。

Server Action はネットワークハング時も Next.js が適切なエラーレスポンスを返すため catch ブロックが確実に発動する。

// ❌ Client Component での直接 INSERT — ハング時に永久 loading
const supabase = createClient(); // browser client
const { error } = await supabase.from("event_reports").insert({ ... }); // may hang silently

// ✅ Server Action 経由 INSERT — ハング耐性あり
const result = await submitReport({ eventId, reportTypes, locale, suggestedCategory });
if (!result.ok) { setStatus("error"); return; }

参照： web/app/actions/submit-report.ts（user-facing）、web/app/actions/dismiss-report.ts（admin）

Auth — ブラウザ `SIGNED_OUT` を単独の真実源にしない / route handler `<Link>` の prefetch 副作用（2026-06-03 教訓）

ログイン状態を扱う Client Component（Navbar など）の二大落とし穴。両方とも「ログイン直後に勝手にログアウトされる」症状を出す。

① onAuthStateChange の SIGNED_OUT を信用しない — 必ずサーバで再検証する。 Supabase SSR では proxy.ts（middleware）・/api/me・ブラウザ client が同じ refresh token をほぼ同時にローテーション要求する。token rotation 有効環境ではレースの敗者が Invalid Refresh Token を受け取り、ブラウザ client が偽の SIGNED_OUT を発火する。このときサーバ session はまだ有効なので、SIGNED_OUT で無条件に setUser(null) するとログイン直後に未ログイン表示へ戻る（フリッカー）。

// ❌ ブラウザ client のイベント種別を真実源にする — 偽 SIGNED_OUT でログアウト化
supabase.auth.onAuthStateChange((event) => {
  if (event === "SIGNED_OUT") { setUser(null); return; }
  void loadMe();
});

// ✅ 常にサーバ (/api/me の getUser()) を真実源として再検証し、
//    サーバが user なしと返したときのみクリアする
supabase.auth.onAuthStateChange(() => { void loadMe(); });
// loadMe() は fetch("/api/me", { cache: "no-store" }) → setUser(data?.user ?? null)

② <Link> が route handler（副作用を伴う GET）を指す場合は必ず prefetch={false}。 Next.js の <Link> はホバーで対象 URL を prefetch する。対象が route handler だと実 GET が飛ぶ。ログアウトリンク（/auth/logout → supabase.auth.signOut()）を <Link> で置くと、メニュー内で隣の項目へマウスを動かしただけでホバー prefetch が signOut() を実行し、ユーザーが勝手にログアウトする。

ログアウト等、副作用を伴う route handler への <Link> には prefetch={false} 必須。
受保護ルート（/saved・/account 等）への <Link> も prefetch が login へ redirect されるため prefetch={false} が安全。
クライアント側ロジックでナビゲートする項目（権限分岐など）は <Link> ではなく <button onClick> にして prefetch 自体を発生させない。

Reference incident: Navbar auth flicker + hover logout（2026-06-03 commit c4e1bde）.

Supabase Realtime

Supabase Realtime is NOT enabled by default for tables. Frontend .on("postgres_changes", ...) subscriptions will silently never fire unless the table has been added to the publication first.

Required database step before any Realtime feature can work:

ALTER PUBLICATION supabase_realtime ADD TABLE <table_name>;

Required migration pattern:

Create a new migration SQL file: ALTER PUBLICATION supabase_realtime ADD TABLE <table>;
Apply via Supabase Dashboard SQL editor (or CLI)
Only then will the frontend subscription receive events

Diagnosis: Supabase Dashboard → Database → Replication — confirm the target table appears in the supabase_realtime publication list.

Frontend subscription rules:

Create the Supabase client INSIDE useEffect — never at component top level. Top-level creation creates a stale closure risk: the useEffect captures the initial instance and may reference a stale/invalidated client after re-renders.
Admin pages must subscribe to both INSERT and UPDATE — INSERT picks up new rows; UPDATE syncs status changes (confirm/dismiss) across open tabs.
Always clean up in useEffect return: supabase.removeChannel(channel).
Extract a fetchRow(id) helper when both INSERT and UPDATE handlers need to re-fetch the full row (avoids duplicating the SELECT clause).

// ✅ 正確：在 useEffect 內部建立 client，避免 stale closure
useEffect(() => {
  const rt = createClient();
  const channel = rt
    .channel("table_changes")
    .on("postgres_changes", { event: "INSERT", schema: "public", table: "t" }, handleInsert)
    .on("postgres_changes", { event: "UPDATE", schema: "public", table: "t" }, handleUpdate)
    .subscribe();
  return () => { rt.removeChannel(channel); };
}, []);

// ❌ 錯誤：在頂層建立 client 再傳入 effect（stale closure 風險）
const supabase = createClient();
useEffect(() => {
  const channel = supabase.channel(...); // 可能捕捉到舊實例
}, []);

Server Component + Realtime 分離模式:

Server Component 中的動態 UI（badge、計數器）如果需要即時性，必須拆出為 Client Component：

// AdminTabNav.tsx（Server Component）
const pending = await getPendingCount();
return <AdminReportsBadge initialCount={pending} />; // Client Component

// AdminReportsBadge.tsx（Client Component）
const [count, setCount] = useState(initialCount);
useEffect(() => {
  const rt = createClient();
  const ch = rt.channel("badge")
    .on("postgres_changes", { event: "INSERT", ... }, () => setCount(c => c + 1))
    .on("postgres_changes", { event: "UPDATE", ... }, async () => setCount(await fetchCount()))
    .subscribe();
  return () => { rt.removeChannel(ch); };
}, []);

Reference incident: AdminTabNav badge（2026-05-02）— SSR-only badge 在報告提交後數字不更新，直到建立 AdminReportsBadge client component 才修復（commit 4a71258）.

// ✅ Subscribe to both INSERT and UPDATE for admin pages
supabase
  .channel("event_reports_changes")
  .on("postgres_changes", { event: "INSERT", schema: "public", table: "event_reports" }, handleInsert)
  .on("postgres_changes", { event: "UPDATE", schema: "public", table: "event_reports" }, handleUpdate)
  .subscribe();

Next.js SSR 快取無效化（`router.refresh()`）

Admin Client Component 執行 mutation 後導航回 SSR 頁面，必須先呼叫 router.refresh()。

Next.js App Router 的 router cache 不會因為 router.push() 自動失效；若省略 router.refresh()，SSR 頁面將繼續顯示 mutation 前的快取資料（如舊的 is_active、annotation_status）。

// ❌ mutation 後只 push — 頁面仍顯示舊資料
await saveToDb(data);
router.push('/admin');

// ✅ 先 refresh 再 push — 強制 SSR 頁面重新執行 Server Component
await saveToDb(data);
router.refresh();
router.push('/admin');

適用場景（兩種更新模式，應同時部署）：

場景	解法
同一 tab 內的即時 row 更新（新報告、狀態變更）	Supabase Realtime 訂閱（`INSERT` + `UPDATE`）
跨頁面導航後列表顯示最新資料	`router.refresh()` before `router.push()`

規則： 任何 Admin 頁面的 save / confirm handler，只要後面接 router.push()，一律在其前加 router.refresh()。這是 Next.js App Router 的必要模式，不是 optional 優化。

⚠️ 逆に stay-on-page handler（router.push() を伴わない dismiss / toggle など）では router.refresh() を呼ばない。 router.refresh() が RSC 再レンダリングをトリガーし、Realtime UPDATE イベントと同時着火することで state/render race → 画面破損が起きる（2026-05-15 handleDismiss commit 390826a）。ローカル state（setReports()）と Realtime 購読で十分。

ハンドラータイプ	`router.refresh()`	理由
confirm（event fields 変更 → `router.push()` あり）	✅ 必要	SSR キャッシュ無効化が必要
dismiss（report status のみ変更、stay-on-page）	❌ 不要・禁止	Realtime と RSC re-render が競合し画面破損

Python

When changing a function's return type (e.g. dict → tuple), immediately smoke-test before committing: python -c "from module import fn; print(type(fn(...)))"
Use getattr(obj, 'attr', default) when reading an attribute that may not exist on all subclasses.
Pipeline parity rule: Any post-processing step added to CI workflow (scraper.yml) must also be called in main.py's normal (non-dry-run) flow. Otherwise manual scraper runs produce incomplete results. Current full pipeline in main.py: scrape → merger → annotate → enrich_movie_titles() → enrich_person_names() → IndexNow. Enrich functions are idempotent — double execution (main.py + CI) is safe (just extra DB queries). When adding a new enrichment function: (1) add to main.py after annotate_pending_events(); (2) add CLI flag + step to scraper.yml.
Inline Python safety rule — Prompt Injection: Never use python3 -c "..." or heredoc python3 << 'PY' ... PY for scripts that interpolate DB values (e.g. f-strings over field_corrections.corrected_value, event fields, or any user-supplied text). Two attack vectors: (1) shell history pollution injects code into f-string braces; (2) DB data itself can contain injected shell commands — rows in field_corrections or other tables may embed rm -f ... or similar, which then appear inside {...} braces and corrupt the inline script. Rule: Always use create_file /tmp/<name>.py + python3 /tmp/<name>.py for any script that queries the DB and formats results with f-strings. File-based execution is fully isolated from the shell. If SyntaxError points at a { in -c mode, treat it as a prompt injection alert and switch to file mode immediately.

requests.Session() must always mount HTTPAdapter with Retry: Any scraper using requests.Session() must mount a retry adapter in __init__. Without it, a single transient network blip from GitHub Actions runners raises Max retries exceeded and triggers Sentry. Required pattern:

from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

_retry = Retry(
    total=3,
    backoff_factor=2,
    status_forcelist=[429, 500, 502, 503, 504],
    raise_on_status=False,
)
self._session.mount("https://", HTTPAdapter(max_retries=_retry))
self._session.mount("http://", HTTPAdapter(max_retries=_retry))

Backoff: 2s → 4s → 8s. Apply to both https:// and http:// mounts.

Next.js / Sentry

Server Component から client module の純関数を呼ばない: "use client" file exports belong to the client module graph. If a Server Component needs a parser, filter builder, or URL state helper, put the type/function in a server-safe web/lib/*.ts module and import only client components/hooks from the client file. Do not add compatibility re-exports from client context modules. Reference incident: 2026-06-03 homepage buildInitialFilters() render error.
Never set autoInstrumentServerFunctions: false — it silently disables server-side error capture.
Gate source map upload: sourcemaps: { disable: !process.env.SENTRY_AUTH_TOKEN }.

API Route JSON Safety Guard（Safari SyntaxError 防護）

所有 API route POST handler 必須用 try/catch 包整個函式體，確保任何情況下都回傳 JSON。

Safari 的 fetch().then(r => r.json()) 遇到非 JSON 回應（如原始 HTML error page）直接拋 SyntaxError: The string did not match the expected pattern.；Chrome 在同樣情況下靜默失敗。不包 try/catch 的 route 在 uncaught exception 時回傳 HTML 500，Safari 用戶看到崩潰，Chrome 用戶靜默無感——跨瀏覽器行為完全不同，難以 debug。

// ❌ 未包 try/catch — uncaught exception 回傳 HTML, Safari 拋 SyntaxError
export async function POST(request: Request) {
  const data = await request.formData(); // 若此行拋例外 → 回傳 HTML 500
  return NextResponse.json({ url: "..." });
}

// ✅ 包整個函式體
export async function POST(request: Request) {
  try {
    const data = await request.formData();
    // … all logic …
    return NextResponse.json({ url: "..." });
  } catch (err: unknown) {
    const message = err instanceof Error ? err.message : "Server error";
    return NextResponse.json({ error: message }, { status: 500 });
  }
}

配套規則：

File extension 必須消毒：從 user-uploaded filename 取副檔名前必須過濾特殊字元，防止破壞 Supabase storage path：
```
const rawExt = file.name.split(".").pop() ?? "jpg";
const ext = rawExt.replace(/[^a-zA-Z0-9]/g, "").slice(0, 10) || "jpg";
```
Client side fallback：const json = await res.json().catch(() => ({ error: "Upload failed (server error)" })) — 防止 non-JSON 500 在 client 端拋 SyntaxError。

SUPABASE_SERVICE_ROLE_KEY 必須顯式 guard：若依賴 service role 的 route 缺 key，要回傳明確錯誤訊息而非 undefined 引爆 TypeError：

const serviceKey = process.env.SUPABASE_SERVICE_ROLE_KEY;
if (!serviceKey) return NextResponse.json({ error: "Server misconfiguration: storage key not set" }, { status: 500 });

Reference incident: 2026-05-31 — web/app/api/upload/route.ts 未包 try/catch + extension 未消毒，Safari 上傳圖片全失敗；Chrome 無感（commit 616eecc）。

Homepage vs EventCard — Two Render Paths

事件卡片在本專案有兩條獨立渲染路徑，修改前必須同時檢查：

路徑	檔案	用途
共用元件	`web/components/EventCard.tsx`	saved、category、search 等其他頁面
首頁 inline	`web/app/[locale]/page.tsx`（行 ~290 的 `events.map`）	首頁專用，不 import EventCard

修卡片視覺前的 SOP：

grep -rn '<EventCard\|EventCard ' web/app/ web/components/ 列出所有 call site。
確認首頁使用的渲染路徑（首頁是 inline，不是 EventCard）。
共用邏輯（getCityLabel、日期格式、地址解析等純函式）抽至 web/lib/<name>.ts，兩處 import；切忌在兩處複製貼上同樣邏輯。
Vercel 部署後驗證：curl https://tokyotaiwanradar.com/zh | grep -c '<新元素 class>'，期望非 0。

Reference: 2026-05-05 城市徽章兩輪才生效（commit 5a29c13 → 9f4b468）。

Event Detail Page — Performer Display Priority

web/app/[locale]/events/[id]/page.tsx 的 performer 顯示邏輯必須依照以下優先序：

zh/en locale + performer_zh/en 存在 → getEventPerformer(event, locale)（多語言欄位優先）
performers[] 非空 → performers[].join("、")（日文多人列表 fallback）
fallback → getEventPerformer(event, locale)

關鍵規則：performers[] 是日文陣列，永遠不可作為 zh/en locale 的主要顯示來源。新增 performer_zh/performer_en 欄位後，必須同步更新此優先序，否則新欄位永遠不會被 end-user 看到（隱性迴歸）。

Reference incident: 2026-05-09 — migration 054 新增多語言欄位後 UI 未同步，zh 頁面始終顯示日文（commit 2e6f4c2）。

performer / performers[] / performer_zh/en — 三欄架構

Field	Type	職責
`performer`	`TEXT`	日文單人主表演者；annotator GPT/regex 輸出；`getEventPerformer()` fallback 錨點
`performer_zh` / `performer_en`	`TEXT`	performer 的語言翻譯（一對一對應）；GPT 填入或人工設定
`performers[]`	`TEXT[]`	日本語（カタカナ）多人陣列；日本語ソースページのキャスト表記を使用；`performers_zh[]` は繁体字対応
`performers_zh[]`	`TEXT[]`	performers の繁体字対応；`getEventPerformer(event,'zh')` が参照する
`performers_en[]`	`TEXT[]`	performers の英語対応；`getEventPerformer(event,'en')` が参照する

⚠ 絕不可刪除 performer：performer_zh/en 錨定於它；34+ 處程式碼引用它；performers[] 有多人時翻譯欄位才有意義。

Auto-sync 規則（commit 4526d3a）：annotator 滿足以下四個條件時自動設 performers = [performer]：

本次 pass 設定了 performer
現有 performers[] 為空/null
GPT 本次未回傳 performers 陣列
performers 未在 field_corrections 保護中

此機制確保 UI 永遠能從 performers[] 讀取，不需在前端 fallback 回 performer。

performers[] 言語規則：performers[] は必ず**日本語（カタカナ）**で入力する。繁体字 film DB・works.cast_summary から補完したデータは performers_zh[] に入れること。日本語の映画サイト・劇場サイトのキャスト欄（例：出演：ケイトリン・ファン、ウィル・オー、9m88...）が権威ソース。繁体字が performers[] に混入すると日本語ロケールで漢字が表示される（incident: 霧のごとく 11 件, 2026-05-20）。

performer multi-value 淨化規則（commit c4bd9e1）：performer 字段必須是單一人物名。annotator 輸出 performer 時必須經過 _MULTI_SEP_RE（[、,，×／/]）檢查：

包含區切符 → performers[] に分割し、performer / performer_zh / performer_en を None にクリア
enrich_person_names() の B1 策略が performers[] の各名前を ja_to_info で翻訳 → performers_zh/performers_en を生成
既存汚染 DB の一括移行は _oneoff_migrate_multi_performer.py --execute で実行する（--dry-run で事前確認）

TSX Component vs Helper — react-hooks/static-components Rule

Next.js 15+ / React 19 lints any PascalCase function that returns JSX as a React component. Components declared inside another component's render body trigger react-hooks/static-components and fail Vercel build.

Rules:

A function returning JSX with PascalCase name is treated as a component → must live at module top level (or be exported). Never declare it inside another component body.
A render-only helper used inline (not as <Tag />) must use camelCase and be invoked as a plain function call: {eventLink(event)}, not <EventLink event={event} />.
If you need closure over parent state, either:
1. Lift the helper to module scope and pass needed values as props/args, or
2. Use useMemo / useCallback to derive the JSX, then render {memoizedNode} directly.

// ❌ Fails react-hooks/static-components
export default function Page() {
  function SectionHeader({ title }) { return <h2>{title}</h2>; }
  function eventLink(e) { return <a href={...}>{e.name}</a>; } // PascalCase trap if renamed
  return <SectionHeader title="..." />;
}

// ✅ Component at module top level
function SectionHeader({ title }: { title: string }) { return <h2>{title}</h2>; }
export default function Page() {
  return <SectionHeader title="..." />;
}

// ✅ camelCase helper invoked as function call
function renderEventLink(e: Event) { return <a href={...}>{e.name}</a>; }
export default function Page() {
  return <ul>{events.map(e => <li key={e.id}>{renderEventLink(e)}</li>)}</ul>;
}

Reference incident: 2026-05-01 /admin/quality page first Tester FAIL — SectionHeader and eventLink declared inside QualityPage render body. Fix: hoisted SectionHeader to module scope; renamed eventLink to renderEventLink and called as function.

OG Image（opengraph-image.tsx）— Edge Runtime 規則

app/[locale]/events/[id]/opengraph-image.tsx 使用 ImageResponse（Satori 引擎），必須設定 export const runtime = "edge"。

Edge runtime 限制：只能用純 Web API。

可用	不可用
`fetch(url)`	`fetch(url, { next: { revalidate } })`
`Response`, `Request`, `TextDecoder`	`next: { tags }`, `next: { revalidate }`
`ArrayBuffer`, `Uint8Array`	Node.js `fs`, `path`, `crypto` 模組

// ❌ Edge runtime 拋錯
const res = await fetch(url, { next: { revalidate: 86400 } });

// ✅ 純 Web API，正確
const res = await fetch(url);

Google Fonts text API 子集化：

使用 ?text=... 參數只取頁面用到的字元，大幅縮小 ArrayBuffer 體積。
CSS 中 src: 與 url( 之間可能有空白；regex 必須用 /src:\s*url\(/，不可寫死 /src: url\(/。

// ❌ 若 CSS 為 "src:  url(..." 就會 miss
css.match(/src: url\(https:\/\//);

// ✅ 容許任意空白
css.match(/src:\s*url\(https:\/\//);

Bulk Action Pattern (AdminEventTable / AdminReportsTable)

When adding a new bulk operation that operates on a derived value from selected events (e.g. common categories, common source, common status):

Compute the derived value with useMemo([selected, events]) — never inline in render
Add a loading state (useState(false)) guarding the async handler
Use Promise.all(selectedEvents.map(...)) for parallel DB updates — do NOT loop with await sequentially
Apply optimistic local state update in setEvents() after Promise.all resolves
Only show the derived-value UI when the derived value is non-empty (conditional render in bulk bar)
Add i18n keys to all 3 message files using the Python json-module pattern

Exception — sequential loop required when sub-handler has internal setState: If the bulk handler calls an existing handleXxx that internally calls setSaving (or any React state setter), use await for loop instead of Promise.all. Parallel calls will cause state races.

// ✅ sequential — safe when handleConfirm calls setSaving internally
for (const id of selectedIds) {
  await handleConfirm(id);
}

// ❌ parallel — causes setSaving race if handleConfirm has internal state updates
await Promise.all([...selectedIds].map(id => handleConfirm(id)));

Checkbox in list rows — wrapper element rule

When a list row is currently a <button> and you need to add a checkbox:

DO NOT put the checkbox inside the <button> — violates HTML spec (interactive element inside button)
Refactor wrapper: <button className="w-full ..."> → <div className="flex items-stretch"> + <label> checkbox </label> + <button className="flex-1 ...">
On the checkbox label, add onClick={(e) => e.stopPropagation()} to prevent bubble triggering row expand/collapse

// ✅ correct structure
<div className="flex items-stretch">
  <label onClick={(e) => e.stopPropagation()} className="flex items-center px-2 cursor-pointer">
    <input type="checkbox" checked={...} onChange={...} />
  </label>
  <button className="flex-1 text-left ..." onClick={handleExpand}>
    {/* row content */}
  </button>
</div>

Bulk action bar placement

Place bulk action bar in the section header (flex justify-between), not a bottom footer bar — more intuitive for list sections with variable item counts.

Sticky filter + bulk action container

Filter bar and bulk action bar must be wrapped in a single sticky container (sticky top-14 z-20). Separate sticky elements for each bar cause jittering on scroll. Incident: commits 15d6ab3→bf22756.

Bulk add category (AdminEventTable)

The bulk action bar includes a "新增分類" row with a multi-select category picker (same CATEGORY_GROUPS layout as inline editor). Implementation:

State: bulkAddCatPending: Set<string> tracks pending selections, bulkAddCatOpen: boolean toggles dropdown
Merge: new Set([...prevCategory, ...catsToAdd]) — never duplicates
Writes category_corrections for AI feedback loop (same as single-event category edit)
Auto-resets selected Set on success (same as bulk remove)

AdminReportsTable — Protected Feature: Bulk Confirm

⚠️ This feature MUST NOT be removed unless a PRD explicitly requests it. Any refactor touching AdminReportsTable.tsx must verify all of the following remain intact:

State / function	Purpose
`selectedIds: Set<string>`	Tracks which pending rows are checked
`bulkConfirming: boolean`	Loading guard during bulk operation
`handleBulkConfirm(rows: ReportRow[])`	Sequential loop calling `handleConfirm` per id, then clears `selectedIds`

Row structure (each pending row):

<div className="flex items-stretch">
  <label onClick={(e) => e.stopPropagation()} className="flex items-center px-2 cursor-pointer">
    <input type="checkbox" checked={selectedIds.has(row.id)} onChange={...} />
  </label>
  <button className="flex-1 text-left ..." onClick={handleExpand}>
    {/* row content */}
  </button>
</div>

Bulk action bar (section header, flex justify-between):

「取消選取」→ t("bulkCancelSelect")
「通過已選取 (n)」→ t("bulkConfirmSelected", { count })
「全部通過 (n)」→ t("bulkConfirmAll", { count })

Why sequential loop (not Promise.all): handleConfirm internally calls setSaving (React state setter). Parallel calls cause state races. Always use for...of with await.

Incident: commit 3d45de6 removed bulk confirm alongside Realtime subscription removal. Restored in 4c30ab3. Do NOT repeat.

Admin Quality Page — Supabase Query Rules

Quality page is_active filter rule: Every Supabase query on the quality page (/admin/quality) must include .eq("is_active", true). Without it, deactivated events appear in the list; clicking them returns 404 because the detail page only renders active events. Apply to all section queries — missingAddr, missingCat, reviewedMissing, annotatedNoCat, and any future additions.

Quality section actionability rule: Only include a Quality section if its value can be cleared to zero by user action (fix button / batch action) or by an automated process running within a reasonable interval. If a section's value persists indefinitely due to scheduling (e.g. archive cron runs once daily, so daytime-expired events always appear) and no actionable button exists, remove the section entirely. Display of permanently non-zero unactionable data erodes trust in the quality page. Reference incident: expired-but-active section removed in commit cd4cc29.

missingAddr filter exclusion list: The "缺地址" section must exclude all of the following:

DB: location_name containing 「オンライン」 (online events) — .not("location_name", "ilike", "%オンライン%")
DB: location_name containing 「電視頻道」 (TV channel events)
DB: events with source_name = 'gguide_tv' (TV guide source)
DB: location_name containing 〒 (address already embedded in name) — .not("location_name", "like", "%〒%")
DB: location_name containing ・ (multi-city events — location_name uses ・-joined city names by convention; no single address exists)
Client: short geographic name ≤6 chars with no spaces (e.g. 東京, 香港, 岡山, 文京区 — no actionable address)

Archive cutoff 一致性規則： database.py 的 archive_ended_events() cutoff 必須與 quality page 的 today 截止一致。

⚠️ archiver 已刪除（2026-05-06）：archive_ended_events() 已從 database.py 和 main.py 完全移除。Quality page 的截止邏輯不再有對應的自動下架機制；事件 is_active 改為純手動管理。此規則已廢止。

Admin list page link rule: Event hyperlinks in admin list pages (quality, reports, etc.) must point to /{locale}/events/{id} (detail page, target="_blank"), not /{locale}/admin/{id} (edit page). Quality pages are for review, not editing.

i18n JSON File Editing — Unicode Safety Rule

Never use replace_string_in_file to edit web/messages/*.json when oldString contains any non-ASCII characters (Japanese/Chinese punctuation, CJK characters, fullwidth symbols like ・ U+30FB). The tool can silently fail to match without reporting an error.

Always use the Python json-module pattern for i18n edits:

import json, pathlib
path = pathlib.Path('web/messages/XX.json')
data = json.loads(path.read_text(encoding='utf-8'))
data['section']['key'] = 'new value'
path.write_text(json.dumps(data, ensure_ascii=False, indent=2) + '\n', encoding='utf-8')

After writing, verify with grep "key" web/messages/XX.json before committing.

replace_string_in_file is safe only for ASCII-only strings in JSON files.

Namespace placement rule: Always use data["<namespace>"]["key"] = value, never data["key"] = value (top-level). next-intl t("key") only searches within the namespace declared in useTranslations("<namespace>") — missing keys silently render as the key name string (no error thrown). Confirm the target namespace from the component's useTranslations() call:

Component / Usage	Namespace
FilterBar location/time options	`filters`
Category labels, group names	`categories`
Other keys	Check `useTranslations("X")` at the call site

After adding a key, verify placement with grep -n "newKey" web/messages/zh.json — line number should be within the expected block, not at the bottom of the file (top-level).

Reference incident: locationOverseas written to top-level (L400+) instead of filters.{} (L10–L40) — production FilterBar rendered key name string, timeMode default disappeared (commit 049edd8).

FilterBar timeMode 預設值規則

FilterBar.tsx 的每個 timeMode 切換必須同步設定合理的 URL 預設值：

切換到	動作
`active`	清空 `from`/`to`，立即 push
`all`	清空 `from`/`to`，立即 push
`past`	若 `to` 為空，預填今日（`new Date().toISOString().slice(0,10)`），立即 push

Rule: 不能讓 EventListClient 在 URL 參數不足時猜測 mode 的含義。每個 mode 必須有完整的 URL 狀態才能正確過濾。

// ✅ 正確：切換 past 時預填 to=today
} else if (e.target.value === "past") {
  const today = new Date().toISOString().slice(0, 10);
  setDraft((prev) => {
    const next = { ...prev, timeMode: "past", to: prev.to || today };
    pushWith(next);
    return next;
  });
}

Reference incident: 2026-05-14 — 切換 past 後畫面不動，因 from/to 皆空，EventListClient past 分支無任何過濾條件執行（commit 2ed3c7b）。

zsh git add with glob bracket paths: Any path containing [...] (e.g. web/app/[locale]/page.tsx) will fail in zsh with no matches found because zsh expands brackets as glob patterns.

Rule: Always wrap such paths in single quotes:

# ❌ fails in zsh
git add web/app/[locale]/page.tsx

# ✅ correct
git add 'web/app/[locale]/page.tsx'

Applies to all shell operations: git add, cp, mv, cat, etc.

GITHUB_TOKEN Permission Wording Sync

When touching any implementation or docs related to --create-issue and GITHUB_TOKEN, enforce one canonical wording only:

Fine-grained PAT: Issues: write + Metadata: read
Classic token: repo scope

In the same change set, sync all related layers:

Runtime/error text in scraper/update_source.py
Operational docs in docs/GITHUB_TOKEN_SYNC_CHECKLIST.md
Rotation instruction in .github/instructions/token-rotation.instructions.md
Agent usage docs in .github/agents/researcher.agent.md
Lifecycle summary in .github/SECRETS_LIFECYCLE.md

Never leave non-standard Issues permission wording (e.g. the &-separated form) in any tracked file.

Secrets Checklist Ownership

docs/GITHUB_TOKEN_SYNC_CHECKLIST.md is the single source of truth for the token sync checklist.

.github/TOKEN_SYNC_CHECKLIST.md must remain a redirect stub only.
Do not maintain duplicate checklist content in multiple files.
For public repo safety, examples must use placeholders (github_pat_xxx), never real values.

Category Update Protocol

Canonical source of truth: web/lib/types.ts → Category union type, CATEGORIES array, CATEGORY_GROUPS array.

When renaming a category display label (i18n only)

Update all three message files simultaneously:

web/messages/zh.json — key under categories.*
web/messages/en.json — same key
web/messages/ja.json — same key

For group labels: keys are group_arts, group_lifestyle, group_knowledge, group_society, group_archive.

When adding or removing a category value

Update all 6 locations in a single commit — do NOT split across commits:

web/lib/types.ts — Category union type
web/lib/types.ts — CATEGORIES flat array
web/lib/types.ts — CATEGORY_GROUPS (place in the correct group)
web/messages/zh.json — label under categories.*
web/messages/en.json — same key
web/messages/ja.json — same key

When reorganizing category groups (moving categories between groups)

Modify only CATEGORY_GROUPS in web/lib/types.ts — no component code changes needed.
AdminEventForm.tsx, ReportSection.tsx, and AdminReportsTable.tsx all read CATEGORY_GROUPS at runtime; they auto-reflect any reorganization.
group_knowledge canonical members: business, academic, lecture, taiwan_japan.
group_lifestyle includes: competition, workshop, exhibition, books_media, tv_program, healthcare.

Incident: 2026-05-01 — competition, workshop, exhibition, books_media, tv_program moved from group_knowledge → group_lifestyle (commits a07b792, 5b66c33). Only CATEGORY_GROUPS in types.ts required changing.

6 UI surfaces that consume categories (all derive from types.ts — no component code changes needed for label renames)

Surface	File	Source	Type
前台篩選器	`web/components/FilterBar.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
後台篩選器	`web/components/AdminEventTable.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
AI 報錯選單	`web/components/ReportSection.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
活動編輯頁	`web/components/AdminEventForm.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
後台問題回報審核	`web/components/AdminReportsTable.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
首頁活動卡片標籤	`web/components/EventCard.tsx`	`messages/categories.*` only	展示用

Note: EventCard.tsx renders category tags on the homepage card — display-only, no picker. Label renames propagate automatically.

Category group picker layout — paired-file rule

AdminEventForm.tsx, ReportSection.tsx, and AdminReportsTable.tsx all render the category group picker with CATEGORY_GROUPS. They must use the same layout at all times:

Structure: grid-cols-[4.5rem_1fr] per group row — col 1 = group label (right-aligned, shrink-0), col 2 = flex-wrap tags
Any layout change to any one of these three files must be applied to all three in the same commit
Do NOT use flex-wrap with a mixed label+tags row — overflows cause label misalignment when a group has many items

AdminEventTable.tsx — Protected Invariants

Whenever this file is modified for any reason, verify these 3 lines are intact before committing:

Search filter label: {t("name")} — tFilters namespace does NOT exist; using tFilters("search") silently renders the raw key string
Category filter label (in filter bar, not table column header): {t("category")} — same reason, do NOT use tFilters("category")
Category dropdown button: bg-white — do NOT revert to bg-gray-50

These were regressed at least twice when unrelated changes overwrote them. The tFilters mistake specifically recurred because old SKILL notes incorrectly listed it as the correct value.

Work dropdown modal rule: The "＋建立新作品" entry in the per-row work <select> dropdown must call setShowCreateWorkModal(true) — never use <a href> or router.push. This keeps the UX consistent with the bulk action bar "＋新增作品" button. Reference: commit 4a266a1.

Column pairing rule: When adding or removing a <th> column, always add or remove the matching <td> in the same commit. TypeScript does not detect thead/tbody column count mismatches. This caused an orphaned is_paid <td> (commit 5597150) after its <th> was already removed.

Address cell fallback rule: The address <td> must use event.location_address || event.location_address_zh || event.location_name. Never read a single field. Any locale-aware field displayed in admin must apply the same fallback chain as the corresponding helper in lib/types.ts.

Filter-option sync rule — closed sets: Any <select> filter whose options come from a closed canonical set (e.g. annotation_status, category) must list every value in that set as an <option>. When a new value is added to a TypeScript union, DB enum, or i18n file, the corresponding <option> element must be added in the same commit. TypeScript does not detect missing dropdown options.

Filter-option sync rule — open-ended sets: For sets that grow with new data (e.g. source_name, which gains a new value every time a scraper is added), never hardcode options. Instead, derive them from the loaded data:

Array.from(new Set(events.map(e => e.source_name))).sort()

A hardcoded source_name list will silently omit new scrapers and require a code change for every new source. This was fixed in commit fe1b39e after 10+ scrapers were added without appearing in the filter.

Filter display counts pattern: When a filter dropdown should show per-option counts (e.g. "電影 (12)"), derive them with useMemo([events]) from the already-loaded events state — no extra API call needed:

const categoryCounts = useMemo(() => {
  const counts: Record<string, number> = {}
  events.forEach(e => { counts[e.category] = (counts[e.category] ?? 0) + 1 })
  return counts
}, [events])
// Render: `${label}${count > 0 ? ` (${count})` : ''}`

This pattern applies to any <select> filter whose options map 1-to-1 with a field on the events array.

Annotation status label consistency rule: One status value = one i18n key, used consistently in all display surfaces: badge (getAnnotationLabel), filter dropdown <option>, any column header. Use the short-form keys: t("filterAnnotatedShort"), t("filterReviewedShort"), t("filterErrorShort"), t("filterPendingShort"). The long-form family (annotated, reviewed, error, pending) has been deleted — do not recreate it.

OCR-回填 array 欄位 sync rule: handleExtractFromImage 的 ARRAY_FIELDS = new Set([...]) 必須涵蓋所有 OCR Vision prompt 會回傳的陣列欄位。未列入集合的 array 會走 String(val) 分支被強轉成字串，污染 form state（型別變成字串而非 string[] | null），但 TypeScript 不會報錯（updateField 接 unknown）。新增任何 array OCR 欄位時，這四處必須同 commit 同步：

web/app/api/admin/extract-from-image/route.ts Vision prompt 加欄位定義（含視覺位置提示，如「海報底部 credit block」）
web/components/AdminEventTable.tsx ARRAY_FIELDS 集合擴增該欄位 key
web/lib/types.ts Event interface 欄位定義為 string[] | null
web/components/AdminEventForm.tsx 表單 state 初始值（避免新增欄位卻無 input UI）

Reference incident: 2026-05-26 — co_organizers / sponsors 三路徑 sync 同時補齊（commits 280fdc4 + e54b925）。

AdminSourcesTable.tsx — agent_category Sync Rule

web/components/AdminSourcesTable.tsx maintains a SOURCE_TYPE_LABELS map and a getFilteredSources function. Both must be updated whenever a new agent_category value is introduced in discovery_accounts.py:

SOURCE_TYPE_LABELS — add the new key: { ..., <new_category>: "<display label>" }
getFilteredSources — detect the new category by reading source.agent_category directly, NOT by hardcoded ID lists. Hardcoded ID lists silently omit newly discovered sources.

This is a paired-file rule: discovery_accounts.py (defines agent_category) ↔ AdminSourcesTable.tsx (displays it).

AdminSourcesTable.tsx — i18n Rule: No Hardcoded Labels

All visible text in AdminSourcesTable.tsx must use t(). Never hardcode Chinese/Japanese strings.

Required i18n keys (must exist in all three messages/*.json):

Key	zh	en	ja
`sourcesFilterStatus`	狀態	Status	ステータス
`sourcesFilterAll`	全部	All	すべて
`sourcesFilterType`	來源分類	Type	分類
`sourcesEditTypeMap`	編輯分類對照表	Edit Type Map	分類マップを編集
`sourcesEditTypeMapTitle`	編輯分類對照表	Edit Source Type Map	分類マップを編集

Incident: 2026-05-01 — filter labels 狀態、全部、來源分類、編輯分類對照表 were hardcoded. Fixed in commit 4c30ab3.

Rule: Any new label added to AdminSourcesTable.tsx must immediately get a key in all three messages/ files. Use the Python json-module pattern for edits.

AdminSourcesTable.tsx — Filter Dropdown Count Pattern (typeCountMap)

When showing per-option counts in a filter <select> (e.g. "Peatix 主辦者 (5)"), the count must reflect:

Apply all other active filters (e.g. status/filter)
Exclude the filter's own dimension (e.g. type/selectedType)

This lets users see how many items they'd get if they switched to that option.

const typeCountMap = useMemo(() => {
  // Apply status filter only — do NOT apply selectedType
  const statusFiltered = sources.filter(s => {
    if (filter === "implemented" && s.status !== "implemented") return false;
    if (filter === "not-viable" && s.status !== "not-viable") return false;
    if (filter === "candidate" && s.status !== "candidate") return false;
    if (filter === "researched" && s.status !== "researched") return false;
    if (filter === "recommended" && s.status !== "recommended") return false;
    if (filter === "has_issue" && !s.github_issue_url) return false;
    return true;
  })
  const counts: Record<string, number> = {}
  statusFiltered.forEach(s => {
    const type = effectiveTypeMap[s.id] ?? s.agent_category ?? "unknown"
    counts[type] = (counts[type] ?? 0) + 1
  })
  return counts
}, [sources, filter, effectiveTypeMap])

// Render option:
// count > 0 → `${label} (${count})`
// count === 0 → `${label}` (no parentheses, avoid UI noise)
// "all" option → never show count (semantic total, `filtered.length` shown elsewhere)

Rule: Every multi-dimensional filter should use this "exclude self, apply others" approach. Never count from the fully-filtered result — it would always show N for the active option and mislead for inactive ones.

Sibling IIFE parity rule: AdminSourcesTable.tsx has two parallel count computations: typeCountMap (sources per type) and eventCountByType (active events per type). Both must apply the identical status-filter logic. When a new status value is added to the <select>, add its guard to ALL count IIFEs in the same commit. Adding to only one causes stale counts on the other.

Admin Tab Nav Sync Rule

All admin pages (web/app/[locale]/admin/*/page.tsx) share a manually duplicated tab nav bar. Every page must list the exact same tabs in the exact same order:

Events → Announcements → Reports → Stats → Quality → Research → Sources → Users → Creators → SEO-AEO

Current page renders as <span> (no link, visually distinct); all others render as <Link>.

When adding a new admin sub-page

Add the tab link to all 10 existing admin pages in the same commit.
Add the new page's own tab nav with the full set of tabs.
Add flex-wrap to the tab container if not already present.
Add i18n key for the new tab label to all three messages/*.json.

Verification command

grep -roh 'admin/[a-z_-]*' web/app/\[locale\]/admin/*/page.tsx | sort | uniq -c | sort -rn

Every route slug must appear the same number of times (= total number of admin pages). If any count differs, a page is missing that tab.

Incident: 2026-05-01 — announcements/page.tsx had only 5 tabs while admin main page had 10. Fixed in commit 1f37bb4.

Scraper Implementation

Every new scraper source must extend BaseScraper (scraper/sources/base.py) and implement scrape() → list[Event].
source_id must be stable across runs — it is the upsert dedup key. Use a deterministic hash or platform ID, never a timestamp.
raw_title and raw_description store original scraped text. Never overwrite them with translated or processed content.
Date rules: follow the 4-tier cascade in .github/skills/date-extraction/SKILL.md. Tier 4 (publish date fallback) fires only when tiers 1–3 all fail.
Prepend 開催日時: YYYY年MM月DD日\n\n to raw_description whenever start_date is known.
Structured raw_description extraction — prioritize content blocks over enumeration: Detail pages often contain navigation noise (navigation links, footers, breadcrumbs). Never enumerate <p> tags or slice first N elements to populate raw_description. Instead: (1) identify structural blocks (e.g., <table class="theater-detail">, <div class="detail-root">, or semantic headers) that contain event metadata, (2) extract each block as a labeled section (e.g., "作品紹介: ...", "料金: ...", "公式サイト: <url>"), (3) join with \n\n. This ensures annotator receives clean context rather than noisy text, preventing misclassification. Incident (2026-05-15): kawasaki_ac extracted first 8 <p> tags (mostly navigation), caused GPT to reject valid Taiwan film events as "unrelated".
Address conflict pre-flight normalization (2026-06-02): Any scraper/oneoff logic that compares street numbers using regex (for example \d+(?:-\d+)+) must normalize Unicode minus variants before matching. Minimum required transform: "−" -> "-" inside address normalization. Without this, venues pre-flight conflict checks can report false positives for the same location written with U+2212 in one source and ASCII hyphen in another.
Series-type scraper pattern — coordinate date format support with field extraction: When expanding a scraper's date parsing to support new formats (e.g., adding YYYY年M/D(土)～ support), simultaneously audit all related field extraction (pricing, times, location, organizer). Series-type sources often embed metadata in structured page sections (cinema event blocks, performance program tables) that depend on date parsing success to identify the correct block. If date parsing changes but pricing/times extraction doesn't, you risk incomplete or misaligned records. Pattern from kawasaki_ac (2026-05-15): supporting new date formats required also upgrading raw_description structure and extraction of business_hours, price_info, and official_url from the same detail page. Rule: When modifying a scraper's date logic, assume you must also update 3-5 other fields in the same commit.
selection_reason is documentation, not a gate: The selection_reason field records why an event was annotated (e.g., "Taiwan-related" vs "not selected"). It is not an enforcement mechanism. Three dangers: (1) a negative selection_reason written by annotator does NOT set is_active=false automatically, (2) upstream layers cannot rely on selection_reason to exclude bad data from downstream, (3) contradictions (e.g., is_active=true with selection_reason="not selected") silently propagate. To enforce exclusions, either: (a) have the scraper skip bad records entirely (preferred), (b) have annotator explicitly set is_active=false when rejecting, or (c) add consistency checks in DB with a CHECK constraint on (is_active, selection_reason) pairs. Do not rely on selection_reason text alone.
New scraper checklist — all 4 steps required:
1. Create scraper/sources/<name>.py extending BaseScraper
2. Register in scraper/main.py → SCRAPERS (import + add instance)
3. Insert a row in research_sources with status='implemented', scraper_source_name=<key>, and a valid url. Skipping this causes researcher.py to re-report the source as a new candidate and triggers a ⚠️ WARNING in CI logs every day.
4. Validate: python main.py --dry-run --source <key> returns events cleanly
_warn_unregistered_scrapers() in main.py runs on every non-dry-run and emits a WARNING for any scraper key missing from research_sources. Check CI logs if you see ⚠️ scraper(s) NOT registered.
Auto-QA via event_reports queue (2026-05-01): New automated content-quality checks must write findings into event_reports with an auto_* prefix in report_types[] (e.g. auto_qa_simplified_zh, auto_qa_missing_address). Do NOT build a separate admin queue — the existing /admin/reports confirm/dismiss flow handles auto-findings unchanged. Always dedup against existing rows of the same auto_* type per event_id — check ALL statuses (pending, confirmed, dismissed), not just pending. A confirmed/dismissed report means the admin has already reviewed it; re-creating it undoes admin work. Also dedup within a single run via in-memory set. See scraper/auto_qa.py and engineer history.md 2026-05-01 / 2026-05-05. Current QA_TYPES (as of 2026-06-03): auto_qa_simplified_zh, auto_qa_missing_address, auto_qa_missing_hours, auto_simplified_chinese, auto_qa_same_work_duplicate, auto_qa_performer_ai_translation_marker, auto_qa_performer_multi_value_pollution, auto_qa_performer_zh_equals_katakana, auto_qa_location_url_is_event_url.
Admin dashboard count — use head=True queries (2026-05-15, commit 518b5a8): Any summary/count card in admin pages must use .select('id', count='exact', head=True) rather than fetching rows and counting client-side. PostgREST silently truncates at max-rows=1000 regardless of .limit() — client-side count is always wrong for large tables. The head: true option fetches only the Content-Range header with the total count, returning no rows.
SIMP_RE / SC_ONLY / annotator._SIMP_TO_TRAD char addition rule (2026-05-01, updated 2026-05-11): Only add a char when its Traditional Chinese / Japanese form is a different glyph. Verify each candidate via CC-CEDICT or kanji.jitenon.jp before adding. Counter-example: 亮 is identical in Trad/Simp (照亮 is valid Trad) and triggered a false positive in production. When adding a new char, update all three simultaneously: annotator.py._SIMP_TO_TRAD, auto_qa.py.SIMP_RE, and auto_qa.py.SC_ONLY. Ensure SC_ONLY ⊆ _SIMP_TO_TRAD_RAW.keys() — detection must never find chars that fix cannot convert. See scraper-expert history.md 2026-05-01 and engineer history.md 2026-05-11.
Cron-driven slot rotation modulo wrap (2026-05-01): When N weekdays drive a (DAY-1) % M slot selector with M < N, days M+1..N silently re-run slots 0..(N-M-1). Acceptable when slots are idempotent (search + skip_hint dedup); NOT acceptable for slots requiring fixed cadence (e.g. Peatix slot 3 only on Thursdays). Override via DISCOVERY_SLOT env on extra cron entries, or raise SLOT_COUNT. See discovery-accounts.yml and engineer history.md 2026-05-01.
Body article > sidebar/footer widget rule (2026-05-22): When a single-source homepage shows the same event in multiple places (e.g. main <article> body and a footer/sidebar widget), always parse the body article first and fall back to the widget only if missing. Widgets are common "set once, forgotten on update" traps — main article is where editors focus. When both parse successfully and disagree, log a warning and prefer the body. Pattern: _parse_body_article() + _parse_widget() → chosen = body or widget. Date regex must support year-prefixed format ((20\d{2})年(\d{1,2})月(\d{1,2})日.*?～(?:(\d{1,2})月)?(\d{1,2})日). Incident: taiwan_festival_tokyo (event 80214e50) was stuck on widget's stale 6/25–28 dates while main article said 7/9–7/12.
Multi-city tour detection — never hardcode venue address (2026-05-01): Any scraper with a hardcoded location_address must add multi-city detection logic. Pattern for taiwan_cultural_center.py:
- Check description + name for ≥2 regional keywords (_MULTI_CITY_REGIONS = ["北海道", "大阪", "京都", "神奈川", "福岡", "名古屋", "仙台"])
- Threshold = 2 (not 1) to avoid false positives where a Tokyo event's description merely mentions another city
- When triggered: set location_name to a generic tour label (e.g. 台湾文化センター（全国巡回）) and set location_address = None
- For DB-patching already-scraped tours: update location_name, clear location_address directly in Supabase

Broadcast / Public Output Quality Gate

Any public-facing output (LINE weekly broadcast, RSS feeds, API responses, etc.) must exclude annotation_status='pending' events. Pending events have incomplete data (null name_zh/name_en, missing category, etc.) and will surface as Japanese-only or broken entries to end users.

Rule: All broadcast/feed queries must include .in_("annotation_status", ["annotated", "reviewed"]) — do NOT assume all is_active events are fully annotated.

Reference: weekly_line_broadcast.py _fetch_upcoming_events() — pool filter added in commit b2864ea after pending events appeared with Japanese-only titles in the LINE weekly broadcast.

weekly_line_broadcast URL placement rule

URLs belong only in the 【小霧精選】 weekly picks section. The nearterm (type-grouped) and monthly sections must NOT append lines.append(f" {url}") — message length is the concern.

Checklist when editing _build_message():

weekly_events loop → URL line ✅ keep
nearterm group loop → URL line ❌ remove
monthly loop → URL line ❌ remove

city_label diagnosis checklist

_city_label() returns empty when both of these are missing:

location_prefectures is null
location_address does not start with a prefecture name (e.g. 東京都…)

Common cause: location_address == location_name (venue name written as address — caught by auto_qa_address_is_venue_name). Typical sub-patterns:

Address starts with a non-prefecture prefix like 会場は… (→ startswith miss)
Address is just the venue hall name (e.g. 早稲田大学早稲田キャンパス11号館710教室)

Fix: look up the real street address, set location_address = '東京都…' and location_prefectures = ['東京都'], FC-lock both fields.

Person Name Lookup Pattern

GPT-4o-mini translates katakana person names phonetically, producing wrong Chinese names (e.g. ギデンズ・コー → 「紀德恩」instead of 「九把刀」). scraper/person_name_lookup.py corrects this for all events, not just movies.

Two pipelines:

Movie events (structured lookup via eiga.com)

eiga.com movie page → extract cast/crew list (role, katakana name, person URL)
eiga.com person page → extract English name (英語表記) and origin country (出身)
zh.wikipedia → search English name + origin country for Chinese name. Fallback: ja.wikipedia CJK title or zh interlanguage link.

Uses lookup_person_names(name_ja) → returns all cast/crew.
Wikipedia uses strict=False (default) — allows CJK title fallback because input is known to be a person.

Non-movie events (general katakana extraction)

Regex extraction: extract_katakana_names(text) extracts katakana patterns with ・ separator (e.g. リン・チーリン, ツァイ・インウェン).
eiga.com person search → if found, get English name + origin.
Wikipedia lookup with strict=True — requires person-keyword match (zh.wikipedia) or zh interlanguage link (ja.wikipedia). No CJK title fallback.

Uses lookup_single_person(ja_name) → returns single PersonInfo or None.
Noise filtering: max 3 ・-parts, max 7 chars/part, noise suffix exclusion.
Self-filtering: non-person terms (place names, brands) naturally return None from Wikipedia.

Critical rules:

strict mode prevents false positives: Without strict mode, ja.wikipedia returns unrelated CJK titles (e.g. リン・インジュ → 安永亜季). Always use strict=True for general (non-movie) lookups.
Character name prefix stripping: eiga.com cast names include character names (e.g. 「孝綸（シャオルン）クー・チェンドン」). Must use _CHAR_NAME_PREFIX_RE regex to strip.
Wikipedia disambiguation requires origin country: Bare English names return unrelated results. Always append the origin country to the search query.
desc_zh fix requires GPT: Wrong names in desc_zh are GPT-generated phonetic translations. Must use GPT-4o-mini (_fix_person_names_gpt()) to identify and replace them.
desc_en fix uses direct replacement: Katakana names leaked into English text → replace with English name.

Annotator integration:

enrich_person_names() in annotator.py — queries ALL events (excl. eiga_com + already reviewed), routes movie vs non-movie, fixes desc_zh via GPT and desc_en via direct replacement.
CLI: python annotator.py --enrich-person-names
Caching: in-memory per movie and per person URL within a single run.

Auto-Scraper Layer B — `generate.py`

scraper/auto_scraper/generate.py is the Phase 2 codegen + sandbox validation pipeline. It reads a research_sources row, fetches sample HTML via Playwright, calls GPT-4o for a spec.json, validates via spec_to_code.render(), then dry-runs the generated scraper in a subprocess.

Scope boundaries (intentional non-scope)

Phase 2 does NOT:

Open PRs or push branches
Register the generated scraper into main.py's SCRAPERS list
Write to events or scraper_runs tables Generated code lives in scraper/auto_scraper/runs/<source_id>/ and is excluded from git (.gitignore).

Sandbox security — env allowlist

The validation subprocess receives only these env vars:

PATH, HOME, PYTHONUNBUFFERED, PLAYWRIGHT_BROWSERS_PATH, TMPDIR, LANG, LC_ALL

SUPABASE_*, OPENAI_API_KEY, GITHUB_TOKEN, LINE_* are never passed to the sandbox. Passing secrets to a subprocess running untrusted LLM-generated code is a critical security violation.

sandbox_env = {k: os.environ[k] for k in (
    "PATH", "HOME", "PYTHONUNBUFFERED", "PLAYWRIGHT_BROWSERS_PATH",
    "TMPDIR", "LANG", "LC_ALL",
) if k in os.environ}

Cleanup — defense in depth

The temporary sources/_auto_<name>.py file must be deleted via both:

try/finally block (runs on normal exit and exceptions)
atexit.register(cleanup_fn) (runs if process is killed mid-flight)

Using only one is insufficient. Missing the atexit means a SIGTERM leaves the temp file in sources/.

Budget guard

generate.py estimates token cost before committing the LLM call. If estimated cost exceeds DEFAULT_BUDGET_USD ($1.50), raise GenerateError("budget-exceeded", ...) and abort.

GPT4O_INPUT_COST_PER_1M = 2.50   # verify against current OpenAI pricing
GPT4O_OUTPUT_COST_PER_1M = 10.00

These constants must be reviewed whenever OpenAI changes pricing. Last verified: 2026-05.

7-day retry cooldown

Each research_sources row may only be retried once every 7 days (checked via auto_scraper_attempted_at). A GenerateError updates auto_scraper_status and auto_scraper_failed_reason but does NOT reset the cooldown — the next attempt must wait the full 7 days from the failed attempt.

CLI flags

python -m auto_scraper.generate --source-id <int>
  [--mock-llm spec.json]   # offline testing: read spec from file
  [--skip-sandbox]         # skip subprocess dry-run (unit tests)
  [--dry-run]              # no DB writes
  [--output-dir PATH]      # override runs/<source_id>/
  [--budget-usd FLOAT]     # override DEFAULT_BUDGET_USD

Required DB migration (migration 032)

ALTER TABLE research_sources
  ADD COLUMN IF NOT EXISTS auto_scraper_status TEXT,
  ADD COLUMN IF NOT EXISTS auto_scraper_pr_url TEXT,
  ADD COLUMN IF NOT EXISTS auto_scraper_failed_reason TEXT,
  ADD COLUMN IF NOT EXISTS auto_scraper_attempted_at TIMESTAMPTZ;

OpenAI Org-Level Quota Monitoring (separate concern from per-call budget)

--budget-usd (default $1.50/source) is a per-run safeguard. It does NOT protect against org-level monthly quota exhaustion.

Once OpenAI org quota is hit, all calls return 429 insufficient_quota — not just auto-scraper, but also annotator.py, researcher.py, enrich_addresses.py, etc. The entire pipeline halts silently if this happens during a cron window.
Per-call budget guards are necessary but not sufficient. Mitigation layers, in priority order:
1. Daily dev report (daily-dev-report.yml, 02:00 JST) should surface the OpenAI billing dashboard URL so the on-call dev can spot-check usage.
2. Future: poll /v1/usage endpoint and post a LINE alert when org-level usage > 80% of monthly cap. Treat as Tier-1 ops alert.
3. Manual: at start of any large batch run (e.g. auto-scraper batch e2e), check the OpenAI usage page first.
Reference incident: 2026-05-02 — mid-batch e2e exhausted monthly quota. All subsequent calls 429'd, batch silently aborted.

Discovery Accounts Pipeline (`discovery_accounts.py`)

Year must be dynamic — never hardcoded:

# CORRECT
_THIS_YEAR = datetime.now(JST).year
query = f"台湾 イベント {_THIS_YEAR}"

# WRONG — requires manual update every year
query = "台湾 イベント 2026"

Any query string that contains a year literal must use _THIS_YEAR or an equivalent datetime.now(...) derivation.

agent_category paired-file rule: When adding a new agent_category value in discovery_accounts.py, always update web/components/AdminSourcesTable.tsx in the same commit:

SOURCE_TYPE_LABELS — add <new_category>: "<display label>"
getFilteredSources — add a branch that reads source.agent_category directly (do NOT use hardcoded ID lists)

Current agent_category values and their labels:

`agent_category`	`SOURCE_TYPE_LABELS` label
`peatix_organizer`	`"Peatix 主辦者"`

Auto Research Pipeline (`auto_research.py`)

scraper/auto_scraper/auto_research.py is the Phase 1.5 AI research pipeline. It reads research_sources rows with status='candidate', queries GPT/web search to assess viability, and writes back auto_research_status.

Batch query — `auto_research_status` filter rule

The batch query MUST include ALL "not yet processed" status values, not just NULL:

# CORRECT — includes both null and pending
.or_("auto_research_status.is.null,auto_research_status.eq.pending,auto_research_status.eq.error")

# WRONG — misses rows where DEFAULT 'pending' was inserted by migration
.or_("auto_research_status.is.null,auto_research_status.eq.error")

Why this matters: Migration 033 set auto_research_status DEFAULT 'pending'. Any new candidate row inserted after migration 033 gets 'pending', not NULL. A query that only filters NULL silently skips all of them forever — no error log, just 0 rows processed.

Rule: When a DB column has a non-NULL DEFAULT value, always verify that all batch queries filtering for "not yet processed" include that DEFAULT value as one of the OR conditions.

Incident (2026-05-05): 14 candidates silently skipped for days. Detected by noticing cron ran with 0 processed rows. Fixed in commit 5d2585d; 14 existing rows manually reset to NULL.

Tailwind CSS Dark Mode — Semantic Tokens Rule

The app uses class-based dark mode (html.dark set by anti-flash script in layout.tsx). The :root.dark block in globals.css overrides all semantic token variables.

Rule: Never use hardcoded hex for text/background colors in page components.

Use case	Correct class	Dark mode value
Headings (h1, h2)	`text-fg-strong`	`#fafafa`
Body paragraphs	`text-fg`	`#ededed`
Secondary text	`text-fg-muted`	`#a1a1aa`
Breadcrumb current	`text-fg-strong`	`#fafafa`
Page background	`bg-surface`	`#1f1f1f`

Do NOT use:

text-[#3A261F] (mocha brown — invisible on dark background)
text-[#4A362D] (dark brown — invisible on dark background)
dark:text-xxx variants — semantic tokens self-switch via :root.dark, no need for per-class dark variants

dark: variants are still valid for decorative colors not covered by semantic tokens (e.g. dark:bg-zinc-800).

Reference: about/page.tsx commit 8ab8d05 (2026-05-15).

After Fixing Any Error

Append an entry to .github/skills/agents/engineer/history.md (newest at top).
If the lesson generalizes, add a rule to this file.

Admin Correction Protection — Two-Tier Pattern

When building a UI that allows admins to correct AI-generated field values and triggers re-annotation (e.g. resetting annotation_status to pending), implement both tiers:

Tier P0 — Implicit preservation (`_ai_or_existing()`)

In normal re-annotation mode (not --all/--id), existing non-null DB values are preserved. AI output only fills null fields.

def _ai_or_existing(ai_val, existing_val, *, human_protected: bool = False):
    if human_protected:
        return existing_val        # Tier P1: NEVER overwrite
    if existing_val is not None:
        return existing_val        # Tier P0: keep non-null
    return ai_val                  # fill null with AI

Tier P1 — Explicit persistence (`field_corrections` table)

Admin corrections are recorded in field_corrections(event_id, field_name, original_value, corrected_value). The annotator loads a human_field_map at startup (event_id → set of protected column names). Fields in this set are NEVER overwritten by AI, even in --all mode.

Schema: field_corrections(id, event_id, field_name, original_value, corrected_value, corrected_by, created_at) with UNIQUE on (event_id, field_name).

Write path: confirm-report.ts writes corrections to BOTH the events table AND field_corrections table in the same request.

Few-shot context: The annotator injects past corrections as few-shot examples into the SYSTEM_PROMPT, so GPT learns from admin feedback over time.

⚠️ 手動 upsert 前必須驗證值來自 raw_description：FC 的 P1 保護是「永久覆寫保護」，一旦鎖入錯誤值，後續 re-annotation 永遠無法自動修復（污染 + 鎖定 = 永久污染）。操作前必須先執行：

SELECT id, raw_title, raw_description, name_ja, name_zh FROM events WHERE id = '<eid>';

確認要鎖的值來自 raw_description（原始資料），而非來自已被 annotator 污染的 name_ja/name_zh 欄位。若需刪除錯誤 FC：

sb.table('field_corrections').delete().eq('event_id', eid).eq('field_name', '<field>').execute()

Reference incident: 2026-05-09 — c6d5232a 手動修正把污染後的 name_zh=大濛 鎖進 FC，需手動 delete + 正確值 re-upsert 才能修復。

⚠️ performer 修正後 FC cleanup 必須： events テーブルで performer=null にセットした後、同じ event_id の field_corrections に performer 行が残っていると、次回 annotator 実行時に悪い値が復元される。必ずセットで確認・削除すること：

# FC performer lock が残っていれば削除
fc = sb.table('field_corrections').select('id,corrected_value').eq('event_id', eid).eq('field_name', 'performer').execute()
if fc.data:
    sb.table('field_corrections').delete().eq('event_id', eid).eq('field_name', 'performer').execute()

Reference incident: 2026-05-17 — 9084ad67 の performer='阿仁、安和' FC lock が残存し、events table 修正（null化）が次回 annotation で上書きされるリスクがあった。

Why both tiers are needed:

P0 alone: --all mode or admin overriding a non-null AI value with a different value → correction lost on next re-annotation.
P1 alone: excessive DB reads for every field; P0 handles the common case (null-fill) cheaply.

Price Regex Pattern for Japanese Yen

When parsing price fields, handle both 1500円 and ¥1,500 formats:

PRICE_RE = re.compile(r'[¥￥]?\s*([\d,]+)\s*円?')

Annotator — google_news_rss 文章補抓

Full translation pipeline documentation: See docs/TRANSLATION_PIPELINE.md for the complete 6-layer pipeline (scraper → DeepL → GPT-4o-mini → movie title lookup → person name fix → frontend fallback chain), CI execution order, and field inventory.

annotator.py has special handling for google_news_rss events whose start_date = NULL:

Playwright follow-redirect: For each such event, _fetch_gnews_article_text(url, browser) navigates the Google News redirect URL and waits 3 s for the JS redirect to resolve. If the final URL is still on google.com, the redirect failed — return None.
Article body extraction: Tries selectors in order: article, main, .article-body, .entry-content, .post-content, body. Takes the first that returns >200 chars. Truncated to _GNEWS_ARTICLE_MAX_CHARS = 4000 chars.
Passed to GPT as raw_desc: The fetched text replaces raw_description in the annotation call only — it is NOT written back to the DB. raw_description stays unchanged.
Shared browser instance: A single Browser is launched before the annotation loop and closed in finally. Never launch per-event — startup cost is too high.
Silent fail on errors: Timeout, paywall, bad redirect → return None, log DEBUG, continue annotation with the original (short) raw_desc.

# Key invariant: raw_description in DB is never overwritten
if article_text:
    raw_desc = article_text   # only for this GPT call
# DB upsert uses the original raw_description unchanged

When modifying this pattern: If you remove the Playwright fetch, google_news_rss events will have start_date = NULL permanently (the scraper intentionally omits pubDate fallback). Confirm that removing it is intentional before proceeding.

Annotator — name_ja Preservation & Sub-event Original Naming

name_ja is NEVER overwritten by GPT (2026-05-02 policy change). The annotator always preserves the scraper's original name_ja (= raw_title). GPT's name_ja output is only used for sub-events (which have no scraper-provided title). The name_ja_locked flag is now redundant for the annotator but remains in the DB/scraper for backward compatibility.

Sub-event name_ja / raw_title preservation (2026-05-02):

On re-annotation, the annotator pre-fetches existing sub-events by parent_event_id and preserves their name_ja and raw_title if already set.
Logic: sub_name_ja = existing["name_ja"] or gpt_name_ja — identical to parent preservation (event.get("name_ja") or raw_title).
This prevents GPT from rewriting katakana person names to kanji on re-annotation (e.g. チャン・ツィイー → 章子怡).
First annotation's GPT output is kept as source of truth; subsequent re-annotations cannot overwrite name_ja.

Sub-event name_ja / description_ja must use original Japanese text:

Movie titles → use the Japanese release title exactly as in the source (e.g. 赤い糸輪廻のひみつ)
Person names → use the original Japanese notation (katakana/kanji as in source, e.g. ギデンズ・コー, クー・チェンドン)
NEVER translate Chinese/Taiwanese person names into Japanese or invent katakana readings
This is enforced by the SUB-EVENT name_ja / description_ja rule in SYSTEM_PROMPT

General principle: All *_ja fields are source-of-truth original text. Translation corrections (movie titles, person names) only apply to *_zh and *_en fields.

Annotator — Subtitle Completeness Rule

GPT-4o-mini habitually truncates academic subtitles. When a name_ja contains a subtitle separator (――, ──, ―, —), GPT translates only the main title and silently drops the subtitle in name_zh and name_en.

SYSTEM_PROMPT rule (already added 2026-05-02): The SUBTITLE RULE section instructs GPT to always carry the complete subtitle into name_zh and name_en. Do NOT remove or weaken this rule.

Post-annotation QA — scan for truncated subtitles after any batch re-annotation of locked events:

import re, os; from dotenv import load_dotenv; from supabase import create_client
load_dotenv('.env'); sb = create_client(os.environ['SUPABASE_URL'], os.environ['SUPABASE_SERVICE_ROLE_KEY'])
SEP = re.compile(r'――|──|―|—')
r = sb.table('events').select('id,name_ja,name_zh,name_en').eq('name_ja_locked', True).eq('is_active', True).execute()
for e in r.data:
    nj = e.get('name_ja') or ''
    if SEP.search(nj):
        subtitle = SEP.split(nj, 1)[1].strip()
        print(f"CHECK {e['id'][:8]} | {nj}\n  zh: {e.get('name_zh')}\n  en: {e.get('name_en')}\n")

After finding truncated translations, correct them manually — re-running annotator will produce the same error unless you verify GPT respected the SUBTITLE RULE.

Incident (2026-05-02): 4 of 15 locked events had subtitle-truncated name_zh/name_en after initial annotation. Identified by manual scan + URL inspection. Corrected via direct DB update.

Annotator — Traditional Chinese (繁體中文) Rule

ALL *_zh fields produced by annotator.py must be Traditional Chinese (繁體中文), never Simplified Chinese (简体字). This includes name_zh, description_zh, location_name_zh, location_address_zh, business_hours_zh, selection_reason.zh, and all sub-event zh fields.

Checklist when modifying SYSTEM_PROMPT in annotator.py:

The first few lines must contain a LANGUAGE RULE block explicitly stating ALL *_zh fields → Traditional Chinese, NEVER Simplified.
Every zh-field description in the JSON schema must say "... in Traditional Chinese (繁體中文)".
Sub-event fields (sub_events[].name_zh, sub_events[].description_zh) must also say "Traditional Chinese (繁體中文)".

After any batch re-annotation, verify with:

import re
SIMP = re.compile(r'[东来这发会说时问门关对长进现与实变内还单层达]')
# Check name_zh, description_zh, location_name_zh, location_address_zh for all affected events

If any Simplified chars found: reset those events to pending and re-annotate.

`_to_trad()` — Deterministic post-processing safety net (全 `*_zh` 欄位)

Prompt-only fixes are insufficient: GPT-4o-mini ignores language rules intermittently. The _to_trad() helper inside annotate_event() applies a str.maketrans char map as a deterministic safety net after GPT returns, covering ALL *_zh fields:

name_zh, description_zh, business_hours_zh — via _to_trad(_str(annotation.get(...)))
location_name_zh, location_address_zh — via _loc_zh() which calls _to_trad() internally
organizer_zh — via _to_trad() on the organizer translation output
Sub-event name_zh, description_zh — via _to_trad(sub.get(...))

The char map _SIMP_TO_TRAD contains ~300 Simplified→Traditional character mappings (grown from ~50 initial entries), with identity mappings automatically removed. See annotator.py for the full table.

⚠ Maintenance burden: This mapping table approach is inherently incomplete — every time GPT-4o-mini uses a new SC character not in the table, it silently passes through. The table has grown from ~50 to 300+ entries and still requires periodic expansion (e.g. 2026-05-08: +9 chars, 2026-05-11: +3 chars). Long-term solution: evaluate OpenCC or a complete Unicode SC→TC library for robust coverage. Until then, continue manual maintenance.

When to expand the map: If a post-annotation scan finds a new Simplified character in any *_zh field, add it to _SIMP_TO_TRAD in annotator.py and SIMP_RE / SC_ONLY in auto_qa.py simultaneously, then DB-patch all existing rows:

import os, re; from dotenv import load_dotenv; from supabase import create_client
load_dotenv('.env'); sb = create_client(os.environ['SUPABASE_URL'], os.environ['SUPABASE_SERVICE_ROLE_KEY'])
MAP = str.maketrans({"新字":"舊字", ...})  # add new chars to full map
ZH_FIELDS = ['name_zh','description_zh','location_name_zh','location_address_zh','business_hours_zh']
res = sb.table('events').select('id,' + ','.join(ZH_FIELDS)).execute()
for ev in res.data:
    updates = {f: (ev[f] or '').translate(MAP) for f in ZH_FIELDS if (ev.get(f) or '') != (ev.get(f) or '').translate(MAP)}
    if updates: sb.table('events').update(updates).eq('id', ev['id']).execute()

Scan pattern — run after every annotator change or char map expansion:

import re, os; from dotenv import load_dotenv; from supabase import create_client
load_dotenv('.env'); sb = create_client(os.environ['SUPABASE_URL'], os.environ['SUPABASE_SERVICE_ROLE_KEY'])
SIMP = re.compile(r'[东来这发会说时问门关对长进现与实变内还单层达诺厅络设联馆园'
                   r'个记构传经验弥与对让认为总视历强调节约运动办报导环义务战组织'
                   r'国际临产业属创据体点击继续阅读开艺术观众场举声画获奖选赛参团电'
                   r'热爱岛独虑忆仅尝试谈请龙丰华灵纪录极标准规细带广庆响惊显难类'
                   r'宝贵丽尽挡将断湾览间气坛静满简洁优连释迹态仪壮汇灯蕴韵须恳'
                   r'统种学数编价乡网绍预称评议论结处应欢]')
ZH = ['name_zh','description_zh','location_name_zh','location_address_zh','business_hours_zh']
res = sb.table('events').select('id,is_active,' + ','.join(ZH)).execute()
bad = [(e['id'][:8], e['is_active'], f, e[f]) for e in res.data
       for f in ZH if SIMP.search(e.get(f) or '')]
print(f'Simplified in *_zh fields: {len(bad)}')
[print(f'  {i} active={a} [{f}] {v!r}') for i,a,f,v in bad]

Fields covered: ALL *_zh fields — main-event and sub-event. _to_trad() is applied to name_zh, description_zh, business_hours_zh directly; _loc_zh() (which calls _to_trad()) is applied to location_name_zh and location_address_zh.

`_lock_fields_via_corrections()` — SC→TC Chokepoint Guard

_lock_fields_via_corrections() 對 field name 以 _zh 結尾的值，寫入 FC 前自動呼叫 _to_trad()。

This is the chokepoint guard (Layer 2) of the SC→TC three-layer defence. Any value that enters field_corrections becomes permanently locked — if SC characters slip through, they are immune to all automated fixes (annotator re-annotation is blocked by P1 protection).

Guard 實作位置：annotator.py _lock_fields_via_corrections() 函式內，在 json.dumps(fvalue) 前加 fvalue = _to_trad(str(fvalue)) if fname.endswith("_zh") else fvalue。

適用場景（所有寫入 FC 的路徑）：

_lock_fields_via_corrections() 被 annotator 主迴圈呼叫
backfill 腳本（如 _oneoff_backfill_organizer_i18n.py）呼叫
enrich_movie_titles() / enrich_person_names() 呼叫
手動 DB patch 後透過此函式鎖定

反模式： 直接 upsert field_corrections 表而不經 _lock_fields_via_corrections() → 繞過 SC→TC guard。所有 FC 寫入必須經此函式。

Reference incident: 2026-05-11 commit f7790a2 — 39 筆 organizer_zh SC 被 kanji copy 永久鎖入 FC。

SC→TC Detection/Fix Consistency Rule

auto_qa.py 的偵測範圍與修復範圍必須完全一致：

系統	字元集來源	掃描欄位
`_detect_simplified_chinese()`	`SC_ONLY`	6 個 `_zh` 欄位
`fix_simplified()`	`_SIMP_TO_TRAD_RAW`	6 個 `_zh` 欄位（2026-05-11 起）

一致性規則：

SC_ONLY ⊆ _SIMP_TO_TRAD_RAW.keys() — 偵測到的字元必須都有對應映射可修復
SC_ONLY 不可含 SC/TC 共用字元（如征/蹈/零/蒙）— 這些在 TC 中有合法用法
fix_simplified() 的欄位清單必須與 _detect_simplified_chinese() 完全相同

驗證字元是否為假陽性：CC-CEDICT 或 kanji.jitenon.jp 查詢，確認 TC 字形與 SC 字形不同才可加入 SC_ONLY。

Reference incident: 2026-05-11 commit aa24400 — 征/蹈/零/蒙假陽性 + 见/从/库缺映射 → 無限 dismiss 循環。

AEO Monitoring — proxy.ts Edge Middleware Rules

web/proxy.ts is Next.js Edge middleware (not a server component or API route). All logging inside it must follow Edge Runtime constraints.

Fire-and-forget logging rule

Never await a Supabase insert inside proxy — this blocks every single request until the DB call completes. Never throw either — an uncaught error crashes the middleware and returns 500 for all routes.

Correct pattern:

// Fire-and-forget: no await, no throw
void fetch(supabaseUrl + "/rest/v1/aeo_visits", {
  method: "POST",
  headers: { "apikey": anonKey, "Content-Type": "application/json" },
  body: JSON.stringify({ ... }),
});
// Continue immediately
return intlMiddleware(request);

Use the native fetch Web API directly — do NOT use createClient from @supabase/ssr in proxy.ts. The SSR client calls cookies() which forces dynamic rendering context and is incompatible with fire-and-forget.

Bot / AI referral detection pattern

Two independent detection layers (mutually exclusive — UA check takes priority):

BOT_PATTERNS: Array<[RegExp, string]> — User-Agent regex → bot name label (GPTBot, ClaudeBot, PerplexityBot, etc.)
AI_REFERER_HOSTS: Record<string, string> — referer hostname → AI source label (perplexity.ai → Perplexity, chatgpt.com → ChatGPT, etc.)

If a request matches a bot UA, log as visit_type='bot' with bot_name. If it has an AI referer but no bot UA, log as visit_type='ai_referral' with ai_source. Ordinary requests: skip logging entirely.

Non-locale route exclusion rule

Any route that should NOT be locale-prefixed must be excluded in the proxy.ts matcher regex. Without exclusion, the intl middleware 307-redirects all requests to /zh/<path>, returning 404. This applies to:

Static files in web/public/ (e.g. llms.txt, custom JSON)
Non-locale routes such as short redirect routes (/r/*), API routes, webhook endpoints
Any new route pattern not under /{locale}/

Matcher pattern (append new exclusions here):

export const config = {
  matcher: ["/((?!_next|api|r/|.*\\.(?:ico|png|jpg|svg|webp|txt|xml|json)).*)"],
};

Current exclusions: llms.txt (via txt extension), standard static assets. When adding a new public/ file with an unusual extension, verify the matcher covers it.

AEO — JSON-LD Rules

FAQPage visibility requirement

Google requires FAQ content to be visually present on the page, not only in JSON-LD. Always add a visible <dl> section that mirrors the FAQPage schema content. Omitting the visible section causes Google to reject the rich result.

{/* JSON-LD */}
<script type="application/ld+json">{JSON.stringify(faqSchema)}</script>

{/* Visible FAQ — REQUIRED alongside JSON-LD */}
<dl>
  <dt>What is this?</dt>
  <dd>Answer...</dd>
</dl>

JSON-LD layering

Global (layout.tsx): WebSite + SearchAction + Organization via @graph
Page-level (page.tsx): BreadcrumbList, CollectionPage, ItemList, FAQPage
Never duplicate WebSite/Organization schemas in page-level files — they are already in layout.

sitemap.ts — x-default alternates

When adding alternates.languages to sitemap entries, always include x-default pointing to the canonical locale (zh):

languages: { "x-default": zhUrl, zh: zhUrl, en: enUrl, ja: jaUrl }

Without x-default, search engines cannot determine the primary language version.

localhost Lighthouse canonical rule

When validating locale pages on http://localhost or http://127.0.0.1, do not blindly reuse the deployed alternates.languages block in page metadata. Lighthouse can false-fail canonical with Points to another hreflang location even when the canonical URL equals the current localhost page.

Use a localhost-only branch in generateMetadata():

if (isLocalRequest) {
  return {
    alternates: {
      canonical: `${base}/${locale}`,
    },
  };
}

return {
  alternates: {
    canonical: `${base}/${locale}`,
    languages: {
      zh: `${base}/zh`,
      en: `${base}/en`,
      ja: `${base}/ja`,
      "x-default": `${base}/zh`,
    },
  },
};

Keep deployed hosts unchanged: full hreflang output including x-default must still ship in production.

AEO — IndexNow Integration

scraper/indexnow.py provides submit_urls(urls) and event_urls(uuids).

database.py return type contract

upsert_events() returns list[str] — the UUIDs of newly inserted events (not updates). Callers that only needed the side-effect can safely ignore the return value. Callers that need to act on new events (e.g. IndexNow) should capture and process it.

scraper.yml env vars required

Both INDEXNOW_KEY and NEXT_PUBLIC_SITE_URL must be set in the workflow env: block. NEXT_PUBLIC_SITE_URL is used by indexnow.py to construct canonical event URLs.

Key verification file

The IndexNow key verification file (web/public/<key>.txt) must be excluded from the proxy.ts matcher. The current .txt wildcard already covers it, but verify if you use a non-standard extension.

AEO — Topic Aggregation Pages

web/app/[locale]/cities/[city]/page.tsx and web/app/[locale]/categories/[category]/page.tsx are static aggregation pages (generateStaticParams).

i18n namespace rules

City descriptions → cities.* namespace in messages/*.json
Category descriptions → categoryDesc.* namespace in messages/*.json
Both namespaces must exist in all three message files before the page is built; missing namespace causes t("key") to return raw key string silently.

sitemap inclusion

Add city and category pages to sitemap.ts with priority: 0.7 and changeFrequency: "daily". Add them in the same commit as the page files — sitemap-only or page-only commits leave dangling entries.

Agent Frontmatter Rules

Handoff target agents 禁止設 user-invocable: false：此旗標讓 VS Code 把 agent 從可解析清單移除，所有指向它的 handoffs: 按鈕靜默失效。
判斷原則：任何在其他 agent handoffs: 裡被引用的 agent，一律不得設 user-invocable: false。
user-invocable: false 僅適用於純 subagent（只被 parent agent 透過 agents: list 呼叫、不出現在 Agent Picker、無人 handoff 到它）。
Incident：update-history-agent.agent.md 與 validate-merge-deploy.agent.md 誤設此旗標，Engineer/Designer/Scraper Expert 的 handoff 按鈕全部消失（commit 6188653 修正）。

GitHub Actions Workflow Rules

Any with: field in an action step whose value is a pure ${{ expression }} (no surrounding text) must be quoted: path: "${{ steps.x.outputs.y }}".
Bare expressions in path:, name:, and similar scalar fields cause YAML schema validator warnings in VS Code and some CI linters.
Any run: step whose command contains both a ${{ }} expression and shell double-quote characters (e.g. --input "${{ steps.x.outputs.y }}") must use a block scalar (|) instead of an inline scalar. Inline scalars mixing " and ${{ }} trigger VS Code YAML extension schema validation warnings. All other run: steps may remain inline.
Step parity rule: When multiple workflows share the same tool dependencies (e.g. Playwright, Python packages), they must have identical setup steps. When adding a new setup step to one workflow (e.g. playwright install chromium --with-deps), immediately check all other workflows for the same dependency and add the step there too. Divergence causes silent failures — missing setup steps do not error at workflow startup, only at the point of use. Example: researcher.yml was missing playwright install for weeks while scraper.yml had it, causing all URL verifications to return url_verified=False silently (fixed in commit d7f4b41).
Node.js 24 opt-in: Any workflow using actions/checkout@v4 or actions/setup-python@v5 must include FORCE_JAVASCRIPT_ACTIONS_TO_NODE24: true at the top-level env: block. GitHub mandates Node.js 24 for Actions starting 2025-06-02; without this opt-in, the workflow emits Node.js 20 deprecation warnings. Template:
```
env:
  FORCE_JAVASCRIPT_ACTIONS_TO_NODE24: true
```
This is a top-level env: key (parallel to jobs:), NOT a step-level env:.
YAML parser quirk — if: multi-line blocks: Multi-line if: conditions using >- or | block scalars sometimes fail with All mapping items must start at the same column or similar. Always prefer single-line double-quoted strings for if: expressions. If multi-line is unavoidable, test with act or push a draft branch before merging.
YAML parser quirk — [{...}] inline jq filters in run: blocks: GitHub's YAML parser incorrectly flags [{type:"text",...}] inside run: | block scalars as Nested mappings not allowed in compact mappings. Fix: assign the jq filter to a shell variable:
```
run: |
  JQ_FILTER='[{type:"text",text:"..."}]'
  curl ... --data "$(jq -n --arg t "$MSG" "$JQ_FILTER")"
```
Reference: commits c38ddd5, b9a462c.

Scraper/Merger pipeline step order

The daily CI pipeline must run steps in this order:

main.py → merger.py → annotator.py → annotator.py --fix-reviewed

merger.py must come after main.py so new scraped events are present for deduplication.
annotator.py must come after merger.py so merged events are re-annotated immediately (not left pending until the next cycle).
merger.yml runs separately (3× daily cron: 01:00 / 09:00 / 16:00 UTC) with the same annotator follow-up steps, ensuring cross-source duplicates are cleaned between full scraper runs.

merger.py `_normalize()` — Rules for safe similarity matching

_normalize() preprocesses both names before SequenceMatcher. Current transformations (order matters):

Trademark normalization: ®/Ⓡ → (r), ™ stays lowercased
iwafu subtitle stripping: [－—\-]…[－—\-] at end of string removed
Year suffix stripping: re.sub(r"20\d{2}[春夏秋冬]?\s*$", "", name) — strips year-only and year+season suffixes so recurring annual events match across years
Whitespace collapse: all Unicode whitespace removed, lowercase

When adding a new normalization rule:

Run similarity spot-checks for: (a) intended matches (must hit ≥ 0.85), (b) known non-duplicates (must stay < 0.85)
Classic pitfall: two different annual events with similar short names. Example: "台湾フェスティバル™TOKYO" vs "台湾文化祭" → 0.200 after year strip (safe). Confirm before committing.

Incident (2026-05-05): 台湾文化祭2026 (iwafu) vs 台湾文化祭 (taiwanbunkasai) scored 0.714 before year-strip fix, causing manual merge to be required every year.

merger.py Pass 2 location matching rules

_location_overlap() accepts: (a) substring containment for strings ≥ 4 chars, OR (b) shared token ≥ 2 chars after split on [\s\u3000、,（()）・].
Both branches needed because location strings vary widely:
- イオン太田 ⊂ イオンモール太田 — substring branch
- 東京都新宿区 shares 新宿区 token with 新宿K's cinema 新宿区 — token branch
DO NOT lower min-length below 4 — 東京 ⊂ 東京都 would create false matches.

`_NEWS_SOURCES` membership criteria

A source belongs to _NEWS_SOURCES if any of:

titles do NOT match the official event name verbatim (news rewrites, RSS summaries)
start_date may be article-publish date instead of event date
location may be city-only / prefecture-only instead of venue

These will always be Pass 2 secondaries (never primary). Current members: google_news_rss, prtimes, nhk_rss, walkerplus. When adding a new member, also confirm its SOURCE_PRIORITY value is higher (lower priority) than every official organizer source.

Event deactivation audit fields (migration 044)

Every code path that sets events.is_active = false MUST also write three audit columns:

deactivated_at — ISO timestamp (new Date().toISOString() or Python datetime.now(timezone.utc).isoformat())
deactivated_reason — short human-readable string
deactivated_by_pass — one of: merger_pass_0 (gnews dedup), merger_pass_1 (name similarity), merger_pass_2 (news date+location), merger_pass_3 (orphan reattach), merger_pass_4 (grandchild flatten), orphan_cleanup (orphan with no parent), admin_manual (UI deactivate)

When re-activating (setting is_active = true), null out all three fields so stale audit data does not persist.

Inventory of setters that must comply (audit when modifying any of them):

scraper/merger.py — use the _deactivate_payload(reason, pass_id) helper
web/components/IsActiveToggle.tsx
web/components/AdminEventTable.tsx (handleToggleActive + handleBulkToggleActive)
web/app/actions/confirm-report.ts (three branches: wrongCategory unresolved, wrongDetails needsReannotation, isIrrelevant)

Discovery Pipeline

scraper/discovery_accounts.py is a separate pipeline from BaseScraper. It discovers new organizer accounts on external platforms and upserts them into research_sources.

Slot rotation design

4 daily slots (Mon–Thu), derived from weekday: Mon=0, Tue=1, Wed=2, Thu=3.
Slots 0–2 run note.com keyword discovery; Slot 3 runs Peatix group discovery.
Controlled by DISCOVERY_SLOT env var (set by discovery-accounts.yml via $(date +%u) - 1) or --slot CLI arg.
The .github/workflows/discovery-accounts.yml cron runs Mon–Thu only (not Fri–Sun).
Adding a new platform: add a new slot (increment total), add a _run_{platform}_task() function, update the DISCOVERY_SLOT derivation in the workflow.

Peatix organizer verification

_verify_peatix_group(group_id) performs an HTTP GET to https://peatix.com/group/{group_id} and checks for a non-404 response.
Verified groups are upserted to research_sources with agent_category='peatix_organizer'.
peatix.py Layer 3 reads these rows at runtime — no code change needed when a new organizer is discovered.

Platform-aware upsert

agent_category in research_sources determines which scraper picks up the organizer:
- 'peatix_organizer' → peatix.py Layer 3
- (future) 'connpass_organizer' → connpass.py
Always set agent_category when upserting a new discovered account.

Multi-locale Edit Pattern

This codebase stores localized values in parallel columns: name_ja, name_zh, name_en, description_ja, description_zh, description_en, etc.

Rule: Any UI component that lets a user view or correct a localized field must expose all three locale variants simultaneously — never only the current locale.

Why: The Japanese original is often correct (scraped directly from source), while the AI-translated Chinese or English may be wrong. Showing only the current locale hides the other variants and makes it impossible to tell which translation is faulty.

Canonical pattern (TypeScript):

type LocaleKey = "zh" | "en" | "ja";
const LOCALES_ORDER: LocaleKey[] = ["zh", "en", "ja"];
const LOCALE_LABELS: Record<LocaleKey, string> = { zh: "中文", en: "English", ja: "日本語" };

// Prop type for a multi-locale field value
Partial<Record<FieldKey, Partial<Record<LocaleKey, string | null>>>>

// State type for edits
Partial<Record<FieldKey, Partial<Record<LocaleKey, string>>>>

// Render: 3 labeled textareas
LOCALES_ORDER.map((loc) => (
  <div key={loc}>
    <p className="text-xs text-amber-400 mb-0.5">{LOCALE_LABELS[loc]}</p>
    <textarea value={edits[field]?.[loc] ?? ""} onChange={...} rows={2} />
  </div>
))

// Submission: only append non-empty edits
for (const loc of LOCALES_ORDER) {
  const edit = edits[field]?.[loc]?.trim();
  if (edit) reportTypes.push(`fieldEdit:${field}:${loc}:${edit.slice(0, 500)}`);
}

page.tsx — pass all three locale values explicitly (do NOT use locale-aware helpers):

eventFields={{
  name: { zh: event.name_zh, en: event.name_en, ja: event.name_ja },
  venue: { zh: event.location_name_zh, en: event.location_name_en, ja: event.location_name },
  // ...
}}

Applies to: ReportSection.tsx, any future admin review/correction UI, feedback forms.

Cross-Platform Environment Variables

GitHub Actions secrets and Vercel environment variables are completely separate systems. Never assume a secret set in one platform is available in the other.

Rule: When implementing a feature that has components in both GitHub Actions (cron/scraper) and Vercel (API route/webhook), explicitly set required credentials in both platforms.

LINE bot example — both platforms must have both variables:

Variable	GitHub Actions Secrets	Vercel Env Vars
`LINE_CHANNEL_TOKEN`	✅ broadcast	✅ webhook
`LINE_CHANNEL_SECRET`	✅ broadcast	✅ webhook signature

Missing a Vercel env var for a webhook causes silent HTTP 401 failures. LINE does not retry failed deliveries — follow events are permanently lost.

Diagnostic checklist when a webhook writes 0 rows:

Check the table directly: SELECT count(*) FROM line_subscribers
Test INSERT with the same logic manually — confirms schema is not the problem
Check the Vercel env var list (not just GitHub Actions secrets)
If a variable is missing in Vercel, add it; then have the user block + unblock the bot to re-trigger the follow event

enrich_addresses.py — 地址補齊工具

scraper/enrich_addresses.py 使用 OpenAI gpt-4o-mini 查詢有場館名但缺地址的活動，並寫回 DB。

使用方式

# dry-run（只預覽，不寫入 DB）
python enrich_addresses.py --dry-run

# 只處理特定 source
python enrich_addresses.py --source ssff --dry-run
python enrich_addresses.py --source ssff

# 處理所有符合條件的事件
python enrich_addresses.py

跳過邏輯（以下情況不查詢）

source_name = 'gguide_tv'（TV 頻道，無實體地址）
location_name 包含 オンライン 或 電視頻道（線上活動）
location_address 已有值（不覆蓋）

寫入欄位

欄位	說明
`location_address`	日文地址（主欄位）
`location_address_zh`	中文地址
`location_address_en`	英文地址

信心度過濾： LLM 回傳 confidence 欄位；只有 confidence=high 才寫入，low/medium 直接跳過。避免寫入 LLM 猜測的錯誤地址。

可複用模式

任何「有 venue name 但缺地址」的來源都適用。執行前先用以下 SQL 確認目標範圍：

SELECT source_name, COUNT(*) AS cnt
FROM events
WHERE location_name IS NOT NULL
  AND location_address IS NULL
  AND source_name NOT IN ('gguide_tv')
  AND location_name NOT LIKE '%オンライン%'
  AND location_name != '電視頻道'
GROUP BY source_name
ORDER BY cnt DESC;

Quality Page — 缺欄位誤報排除模式

當 Quality page 顯示「缺 X 欄位」的筆數異常高時，先分組統計，再決定 filter 邏輯。

診斷步驟

-- 確認哪些 source 貢獻了「缺地址」的事件
SELECT source_name, COUNT(*) AS cnt
FROM events
WHERE location_name IS NOT NULL
  AND location_address IS NULL
  AND is_online IS NOT TRUE
GROUP BY source_name
ORDER BY cnt DESC;

若某個 source（如 gguide_tv）的事件天然沒有實體地址，應在 前端 filter 排除，而不是標記為「待修」。

Quality page filter 排除模式（TypeScript）

// ❌ 錯誤：把 TV 頻道事件也算進缺地址
const missingAddr = events.filter(e =>
  e.location_name && !e.location_address && !e.is_online
);

// ✅ 正確：DB 層排除天然無實體地址的來源 + client 層排除短地名
// DB query:
//   .not("location_name", "is", null)
//   .is("location_address", null)
//   .neq("source_name", "gguide_tv")
//   .not("location_name", "like", "%〒%")
//   .not("location_name", "ilike", "%オンライン%")
// Client filter:
const missingAddr = (dbResults).filter(e => {
  const loc = e.location_name ?? "";
  if (loc.length <= 6 && !loc.includes(" ") && !loc.includes("　")) return false;
  return true;
});

原則

TV 頻道 / 廣播節目：source_name = 'gguide_tv'，location_name 存頻道名稱 → DB .neq() 排除。
線上活動：location_name 含 オンライン → DB .not() 排除。
地址嵌入名稱：location_name 含 〒（郵便番号）→ DB .not() 排除。
短地名（≤6 字元）：如「東京」「香港」「文京区」→ client filter 排除（無更精確地址可填）。
新增 quality check 時，先確認「哪些情況下欄位為空是合理的」，再寫 filter。

Incident: 2026-05-01 — missingAddr 顯示 29 筆，實際 18 筆是 gguide_tv 誤報。2026-05-02 — 加入〒/オンライン/短地名排除後進一步降低（commits 229810f、f5931e0）。

Location Filter Three-File Sync Rule

The location filter is implemented in three separate files that must always stay in sync:

File	What to update
`web/components/FilterBar.tsx`	`options` array (labels + values) + i18n keys
`web/app/[locale]/page.tsx`	Server-side OR query (`location_address ilike` per region marker)
`web/components/AdminEventTable.tsx`	`filterLocation` state type (union literal) + marker arrays + `getFiltered` predicate + `sourceCountMap`

Region marker logic (current 6-option layout):

Value	Detection
`"tokyo"`	`location_address` contains Tokyo ward/city markers, or is null (default)
`"kanto"`	ilike markers: 神奈川, 埼玉, 千葉, 茨城, 栃木, 群馬, 山梨, 東北各縣, 北海道
`"chubu"`	ilike markers: 愛知, 静岡, 岐阜, 長野, 新潟, 富山, 石川, 福井, 大阪, 京都, 兵庫, 奈良, 滋賀, 和歌山, 三重
`"chugoku"`	ilike markers: 広島, 岡山, 鳥取, 島根, 山口, 九州各縣, 四國各縣, 沖縄
`"online"`	`location_name` contains `オンライン`
`"tv"`	`location_name` contains `電視頻道`

Rules:

State type must match options exactly. The filterLocation state is a TypeScript string literal union. If a new option value is added but the union type is not updated, TypeScript will NOT report an error — instead, the unknown value silently falls through all predicates and shows zero results.
Use ilike marker lists, not NOT logic. Defining regions by exclusion (e.g. "not Tokyo, not online") misses events with null addresses or partial matches. Always use explicit positive marker lists per region.
All three files in one commit. Partial sync (e.g. only updating FilterBar) causes the server query to return wrong data or the admin filter to show stale counts.

Incident: 2026-05-01 — rewrote from tokyo / other_japan / taiwan / online / tv to tokyo / kanto / chubu / chugoku / online / tv. All three files updated in commit b8dfe2b.

Works Entity Conventions

(Migration 048_works_entity.sql — 2026-05-05)

works 是電影／舞台劇／巡演的「作品層級」上層實體；events.work_id 為 nullable FK 指向 works.id，ON DELETE SET NULL。

conference 不在允許清單！學術研討會建 work 用 other。PostgreSQL check constraint 執行時才報錯，無 schema 預覽——建立前先查現有值：sb.table("works").select("work_type").execute()。

規則：

僅 admin 維護：works 表不由 annotator 寫入；只有 web/app/actions/works.ts 的 admin server actions 可建立／更新／刪除。RLS：anon SELECT，admin ALL via user_roles。
與 parent_event_id 並存：兩者職責正交。work_id 跨 events 串作品；parent_event_id 在單一活動內串 master/sub-event。同一筆 event 可同時設定兩者（影展中的某場放映 → work_id 指向被放映的電影、parent_event_id 指向影展整體）。
詳情頁 cross-link 必須用 service role：anon-key client 對 is_active=false 的 sibling event 會 silently 過濾為 null（RLS 規則）。查同 work_id 的其他場次必須用 SUPABASE_SERVICE_ROLE_KEY 建立 client，且 select 限定最少欄位（id,name_*,start_date,location_name,...），絕不 select("*")。
work_id 變更不更新 events.updated_at：assign/unassign 只是 metadata link，不應觸發任何 ISR revalidate 或 re-annotation。assignWorkToEvent action 直接 update({work_id: ...})，不附帶其他欄位。
Migration 應用後：跑一次 scraper/_oneoff_backfill_works.py 補上既有觸發 case（月老、大濛），再刪除腳本。
original_title UNIQUE：migration 048 在 original_title 上建立 unique index，backfill 才能用 on_conflict='original_title' 或「先 select 再 update」。新增腳本若需 idempotent upsert，先用 .eq('original_title', ...).limit(1) 檢查，避免依賴 PostgREST on_conflict 對複合條件的 brittle 行為。
merger Pass 1 整合：同 work_id 跨 venue 的 movie/performing_arts pair 不再合併（會破壞「同作品多場次」呈現）。merger.py 已在 Pass 1 加入兩個跳過條件：(a) 雙方 work_id 非空且不同 → skip；(b) category 含 movie/performing_arts 且 _location_overlap()=False → skip。輸出 [Pass 1 SKIP] log。
original_title（中文片名）必須先用 lookup_movie_titles(title_ja) 查 eiga.com：scraper/movie_title_lookup.py 已有完整 pipeline 從 eiga.com 的 原題または英題 欄位取得正確中文片名。函式回傳 3-tuple (name_zh, name_en, official_url)（commit a4ecdba，2026-05-12 起）。批次建立 works 時，必須先對每筆 title_ja 呼叫此函式；僅對回傳 (None, None, None) 的才需用維基百科、台灣電影網或 IMDb 人工交叉驗證。解包時必須用 3-tuple：name_zh, name_en, official_url = lookup_movie_titles(title_ja)，不可沿用舊 2-tuple 解包（name_zh, name_en = ...）——會觸發 ValueError: too many values to unpack。禁止用 GPT 直譯生成 original_title——日文片名與中文原始片名的關係不可預測（如 超低予算ムービー大作戦 的原題是 導演你有病，不是 超低預算電影大作戰）。
batch 腳本必須呼叫 post_batch_enrich(event_ids)：所有 _oneoff_*.py 在寫入 DB 後，必須 from annotator import post_batch_enrich 並呼叫。此函式自動執行 eiga.com 片名 lookup + field_corrections 鎖定。人名修正需額外執行 python annotator.py --enrich-person-names。禁止在 batch 腳本中用 GPT 直譯生成 name_zh/name_en。

Reference: 月老 (f970e4e3 shin_bungeiza ↔ 4a8772ec cinemart_shinjuku) 與大濛 (dec5031b cinemart_shinjuku ↔ d201c261 taioan_dokyokai) — migration 048 + Phase 7 cohort.

name	engineer
description	Implementation rules for database migrations, Python scrapers, and Next.js web for the Engineer agent
applyTo	.github/agents/engineer.agent.md

Engineer Skills

Read this at the start of every session before touching any code.

⚠️ CRITICAL: Canonical File Paths

NEVER write to .github/skills/agents/engineer/ — that path has been deleted. The canonical location is: .github/skills/agents/engineer/SKILL.md and .github/skills/agents/engineer/history.md

Same rule applies to ALL agent skills:

Agent	Canonical path
engineer	`.github/skills/agents/engineer/`
researcher	`.github/skills/agents/researcher/`
scraper-expert	`.github/skills/agents/scraper-expert/`
scraper-dev	`.github/skills/agents/scraper-dev/`
architect	`.github/skills/agents/architect/`
tester	`.github/skills/agents/tester/`

Writing to a top-level skills/<name>/ path recreates deleted directories. Always use skills/agents/<name>/.

Workflow Automation Guardrails

For alert-driven automation, split into two stages: triage first, auto-fix second. Never mix high-risk remediation into the triage stage.
Keep high-risk classes (for example selector drift or source-structure breakage) in human-review only paths; safe auto-fix should only touch deterministic transforms.
Every LINE alert message must include a direct next action (exact workflow name + trigger mode). A warning without CTA is operational noise.
For publication-related pending QA, clean by source and status transition first. If a source is mixed-content like eslite_spectrum, keep the rule set conservative and do not fold promotional talk events into the same batch.
Venue homepage repairs (location_url) are provenance-sensitive. The only safe auto-fix target is the venue's own official homepage; never promote source_url, official_url, or organizer_url into location_url just because a search hit looks plausible.
If a venue cannot be verified to have its own homepage, leave the report pending for human review. Shared municipal spaces and parent-organization pages are especially prone to false positives.

Agent Handoff Reliability

For workflow agents, treat handoffs as a required output path, not optional UI polish.
If a handoff defines prompt:, set send: true when the intended behavior is one-click execution.
Pre-ship check for agent changes: verify target agent names resolve correctly and at least one post-task handoff exists for the expected next action.
Every new agent file must include handoffs: at creation time. An agent with no handoffs leaves users stranded after task completion.

CSS Selector Specificity Pitfalls

[attr='x'].class = same element (no space). [attr='x'] .class = descendant combinator (space = different element).
When combining an attribute selector with a class on the same element (e.g., data-preserve-theme and group on the same <Link>), never insert a space between them.
For theme-exception rules like [data-preserve-theme='light'].group:hover h2, verify: (1) the attribute and the class are on the same DOM element, (2) combined specificity beats any competing rule, (3) use getComputedStyle via Playwright to confirm hover color changes.

E2E Local Server Prerequisite

When running Playwright smoke tests that navigate to local paths (for example /ja/announcements), start a local Next server first (npm run dev or configured webServer) and verify port 3000 is reachable.
Treat net::ERR_CONNECTION_REFUSED as an execution-environment failure first, not an application regression.
After the test run, stop any background dev server to avoid orphaned processes and cross-session interference.

Admin GPT routes — server-side enum whitelist intersect（2026-05-26 教訓）

防線	為何失效
TypeScript	只檢查靜態型別，不檢查 runtime LLM 輸出
DB CHECK constraint	`text[]` 陣列元素無法 CHECK，只能 CHECK 整個陣列存在性
`scraper/annotator.py::_validate_categories()`	只有 daily scraper 路徑會跑，admin route 完全繞過

規則： 兩個 admin route 在 GPT 回傳後、upsert 前必須：

const VALID_CATEGORIES = new Set([
  /* 與 web/lib/types.ts CATEGORIES 同步 */
]);
const sanitized = (parsed.category ?? []).filter((c: string) => VALID_CATEGORIES.has(c));

VALID_CATEGORIES 集合可從 web/lib/types.ts 匯入 CATEGORIES 陣列轉成 Set，避免雙重維護。同理適用 event_form、prefecture_code 等所有 enum 欄位。

Database

Always verify a migration has been applied in Supabase before writing code that depends on it. Check: SELECT table_name FROM information_schema.tables WHERE table_name = 'X';
When adding a DB column, wire up the code that populates it in the same commit. Empty columns = silent data gaps.
Wrap non-critical DB inserts (logging, analytics) in try/except. Never let a failed log write break the main pipeline.
supabase/migrations/ must contain only NNN_name.sql files. Never place .md files, smoke-test scripts, validation reports, or any non-migration artifacts in this directory. Supabase CLI and tooling will attempt to run every .sql file in this directory as a migration — a misplaced file will cause schema errors or no-op runs. If a migration agent produces a smoke-test or verification file alongside the SQL, place it anywhere outside supabase/ (e.g. a temp directory or delete it). Example incident: 027_smoke_test.sql, 027_VALIDATION.md, 027_VERIFICATION_REPORT.md were accidentally created in migrations/ by a previous agent and had to be manually deleted (commit chore(migrations): remove non-migration 027 artifacts).
PostgREST COUNT は必ず { count: 'exact', head: true } を使う。 .limit(n) + client-side filter でカウントを計算すると PostgREST の max-rows=1000 silent truncation により 1,000 件超で常に過小表示になる。カウントのみ必要な場合は行データを取得しない head-count クエリを使う：
```
// ❌ client-side count — PostgREST silently truncates at 1000
const { data } = await supabase.from("events").select("id").eq("is_active", true);
const count = data?.length ?? 0;

// ✅ head-count — 正確な COUNT、行データ不要
const { count } = await supabase
  .from("events")
  .select("id", { count: "exact", head: true })
  .eq("is_active", true);
```
複数の COUNT クエリは Promise.all([...]) で並列実行すること（直列 await は不要）。Reference incident: AEO summary cards capped at 1,000 (commit 518b5a8, 2026-05-15).
When a logging table gains new NOT NULL columns (e.g. success, duration_seconds), both the success path and the except block must write those columns explicitly. Pattern from scraper_runs:
```
# success path
{"success": True, "duration_seconds": int(time.time() - start)}
# except block
{"success": False, "duration_seconds": 0}
```
If only the success path is updated, failure rows leave the column NULL and break NOT NULL constraints (or silently insert the default, hiding failures).
Every migration that creates a new table MUST include explicit GRANT statements (Supabase policy change, effective October 30, 2026). Without them, PostgREST/supabase-js returns 42501 permission error silently. Migration 069_explicit_grants.sql retroactively covers all pre-existing tables. Use the tier template in .github/instructions/database.instructions.md §GRANT template:
- Tier A (public-read): GRANT SELECT ON ... TO anon, authenticated, service_role;
- Tier B (admin-only): GRANT SELECT, INSERT, UPDATE, DELETE ON ... TO authenticated, service_role;
- Tier C (service-role only): GRANT SELECT, INSERT, UPDATE, DELETE ON ... TO service_role; Always ALTER TABLE ... ENABLE ROW LEVEL SECURITY before adding GRANTs.
GRANT scope を決める前に「誰が書くか」を Python コードから逆引きする。 RLS ポリシーのみ参照すると書き込み GRANT が漏れる。典型的な漏れパターン：scraper_runs・research_reports は scraper/annotator が service_role で INSERT するため service_role INSERT が必要。creators は admin UI から authenticated が CRUD するため authenticated CRUD が必要。
Admin が UPDATE/DELETE するテーブルには SELECT だけでなく全 DML の RLS policy を migration 時に一括作成する。 CREATE TABLE 時に SELECT policy のみ追加し UPDATE policy を漏らすと、admin UI からの更新が PostgREST により 0-row silent success として返り、JS 側では error: null なので原因特定が困難になる。チェックリスト（admin 操作テーブル）：SELECT / INSERT / UPDATE / DELETE の 4 種 policy を全て作成したか確認すること。参照インシデント：research_reports が UPDATE policy なしのため「標記為已審閱」ボタンが無反応（migration 070、2026-05-15）。

Supabase Client UPDATE — 0-row Silent Success Guard

任何 client-side supabase.from(T).update(...).eq("id", x) 在以下三種情況都會回傳 error: null + 空 data，supabase-js 不會丟錯：

RLS policy 過濾掉（角色不對、anon 落地）
JWT expired，supabase-js 來不及自動 refresh
id 在 DB 不存在

規則： 後台所有 client-side UPDATE 必須加 .select("id") 並檢查回傳列數，0 列視為失敗：

const { error, data } = await supabase
  .from("events")
  .update(update)
  .eq("id", eventId)
  .select("id");

if (error) {
  alert(`操作失敗：${error.message}`);
} else if (!data || data.length === 0) {
  alert("操作未生效（session 可能已過期），請重新整理頁面後再試。");
} else {
  // success path
}

已知需套用的呼叫點（截至 2026-05-15）：

web/components/IsActiveToggle.tsx handleToggle
web/components/AdminEditClient.tsx handleSave
web/components/AdminEventTable.tsx handleToggleActive / handleBulkToggleActive / handleBulkForceRescrape / category bulk update / handleSaveWork
web/components/AdminCreatorsClient.tsx toggleActive
web/components/AdminReportsTable.tsx 所有 bulk-confirm 路徑

替代設計：高風險寫入改走 server action / route handler 用 service role key，繞過 client JWT 過期問題。

RLS Policy Matrix Completeness Guard（建表時 SELECT/INSERT/UPDATE/DELETE 缺一即 silent failure）

規則： 設計新表 migration 時，逐一檢查 admin UI 是否會對該表執行：

動詞	觸發場景	必要 policy
SELECT	列表頁、詳情頁	`FOR SELECT`
INSERT	新增按鈕、表單送出	`FOR INSERT`
UPDATE	「標記為…」按鈕、toggle、編輯	`FOR UPDATE`
DELETE	「刪除」按鈕	`FOR DELETE`

任一動詞會被 admin UI 觸發但 policy 不存在 → 後續一定要回頭補一支 migration（如 070_research_reports_update_policy.sql）。

已知 incident： Migration 008_research_reports.sql 只建 SELECT policy，admin「標記為已審閱」按鈕 silent failure（2026-05-15 補 migration 070）。

偵測 SQL（在 Supabase Dashboard 跑）：

SELECT tablename, cmd, count(*)
FROM pg_policies
WHERE schemaname = 'public'
GROUP BY tablename, cmd
ORDER BY tablename, cmd;
-- 任何 admin UI 操作的表，cmd 必須涵蓋 SELECT + UPDATE 至少。

Admin Mutation 成對原則（confirm / dismiss / toggle）

admin mutation handler は必ずペアで同じ実装パターンを使う。

チェックリスト（新規 admin mutation を追加する前に確認）：

同じテーブル・同じ権限を必要とする配対 handler が他にないか？
配対 handler が client-side UPDATE のままなら、同時に server action へ昇格させる。
server action は .select("id") + data.length === 0 guard + return { ok: false, error } パターンを必ず含める。
client-side handler は result.ok を確認し、false の場合 alert(result.error) で即時フィードバックを表示する。

// web/app/actions/dismiss-report.ts — server action テンプレート
"use server";
import { createClient } from "@/lib/supabase/server";
export async function dismissReport(reportId: string): Promise<{ ok: boolean; error?: string }> {
  const supabase = await createClient();
  const { error, data } = await supabase
    .from("event_reports")
    .update({ status: "dismissed" })
    .eq("id", reportId)
    .select("id");
  if (error) return { ok: false, error: error.message };
  if (!data || data.length === 0) return { ok: false, error: "0 rows updated" };
  return { ok: true };
}

URL 存在確認 — apex と www の両方を試す

会場・組織の公式サイト有無を curl で確認する際は apex ドメインと www. サブドメインの両方を必ず試すこと。

# ❌ apex のみ確認 — 日本サイトは www なしを DNS に登録しないことが多い
curl -s --max-time 5 -o /dev/null -w "%{http_code}" "https://example.jp/"   # → 000 (DNS 失敗)

# ✅ 両方確認
curl -s --max-time 5 -o /dev/null -w "%{http_code}" "https://example.jp/"     # 000
curl -s --max-time 5 -o /dev/null -w "%{http_code}" "https://www.example.jp/" # 200 ← 正解

000 = curl が DNS 解決に失敗した = 「その変形が存在しない」であり「サイト全体が存在しない」ではない
2xx が返るまで apex / www / 短縮ドメインを試し、すべて失敗した場合のみ「公式サイトなし」と判断する
参照インシデント: coconeri.jp → 000、www.coconeri.jp → 200（2026-05-17、event eeb5b12e）

annotation_status エラーイベントの定期リセット

annotator.py は annotation_status='pending' のみ処理する。'error' になったイベントは自動リトライされない。

確認コマンド（定期的に実行）：

res = sb.table('events').select('id,name_ja', count='exact') \
    .eq('annotation_status','error').eq('is_active', True).execute()
print(f"error count: {res.count}")

リセット手順：

ids = [r['id'] for r in res.data]
sb.table('events').update({'annotation_status': 'pending'}).in_('id', ids).execute()
# その後 python annotator.py を実行

注意事項：

daily_report.py は .limit(5) でエラー件数を表示するため、実際の件数と一致しない。COUNT で別途確認すること。
薄い raw_description（1行のみ）の sub-event も、親イベントのコンテキストを参照することで正常アノテーション可能。
error 件数が多い場合は annotator.py の GPT JSON パースロジックに問題がある可能性もある（レスポンス形式の変化等）。

Async Fetch AbortSignal Timeout Guard（UI 永久 loading 防護）

後台任何「觸發外部 API + 等待結果 + 更新 UI 狀態」的 client-side fetch 必須加 signal: AbortSignal.timeout(N) 防護：

規則：

// client-side：呼叫可能耗時 >5s 的 API 一律加 AbortSignal
const res = await fetch("/api/admin/annotate-event", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ eventId }),
  signal: AbortSignal.timeout(58000), // 58s hard cap
});

// API route 端：外部 AI API（OpenAI 等）也必須加 timeout
const openaiRes = await fetch("https://api.openai.com/v1/chat/completions", {
  ...
  signal: AbortSignal.timeout(25000), // 防止超過 Vercel maxDuration
});

已修復（commit 77fc092，2026-05-15）：

AdminEventTable.tsx handleSaveAndAnnotate 的 annotate-event fetch
annotate-event/route.ts OpenAI call
AdminEventTable.tsx handlePublish 補 .select("id") + 0-row guard

Client Component 直接 INSERT 禁止 — Server Action 義務化

Client Component 内で supabase.from(...).insert() を直接呼び出してはならない（admin・一般ユーザー問わず）。

規則：

ユーザー向けフォームの INSERT（anon・authenticated 問わず）は必ず Server Action で行う。
RLS で anon INSERT を許可していても、ブラウザ直接 INSERT はハング耐性がない。
Safari は特に hang しやすい。Chrome で動いても Safari で再現する。

insert：20 秒
update（軽い）：15 秒
bulk handlers + works fetch 等、Server Action 化が未完了の path 用の保底メカニズム。

function withClientTimeout<T>(p: PromiseLike<T>, ms: number, label: string): Promise<T> {
  return new Promise<T>((resolve, reject) => {
    const timer = setTimeout(() => reject(new Error(`${label} timed out after ${ms}ms`)), ms);
    Promise.resolve(p).then(
      (v) => { clearTimeout(timer); resolve(v); },
      (e) => { clearTimeout(timer); reject(e); },
    );
  });
}

annotate-event SELECT 紀律（ユーザー入力欄を守る）

web/app/api/admin/annotate-event/route.ts は 「OCR 已填值は保持、空欄のみ GPT 補完」 パターン：

const cur = (event as Record<string, unknown>)[k];
if (cur === null || cur === undefined || cur === "") {
  returnedFields[k] = v;  // GPT 値で上書き
}

これは SELECT 句で fetch したフィールドにしか効かない。SELECT 漏れ＝ undefined ＝空判定＝サイレント上書き。

規則：

extractionFields 配列に列挙したフィールドは すべて L258 の SELECT 句に含める。
新規「保持したい」フィールドを追加するときは 3 箇所同時編集：
- L258 SELECT 句
- extractionFields 配列（L437 付近）
- 必要なら alwaysOverwriteFields（description 系のみ）
PR レビュー時：extractionFields の各 key が SELECT 句にあるか目視確認。

Server Action はネットワークハング時も Next.js が適切なエラーレスポンスを返すため catch ブロックが確実に発動する。

// ❌ Client Component での直接 INSERT — ハング時に永久 loading
const supabase = createClient(); // browser client
const { error } = await supabase.from("event_reports").insert({ ... }); // may hang silently

// ✅ Server Action 経由 INSERT — ハング耐性あり
const result = await submitReport({ eventId, reportTypes, locale, suggestedCategory });
if (!result.ok) { setStatus("error"); return; }

参照： web/app/actions/submit-report.ts（user-facing）、web/app/actions/dismiss-report.ts（admin）

Auth — ブラウザ `SIGNED_OUT` を単独の真実源にしない / route handler `<Link>` の prefetch 副作用（2026-06-03 教訓）

ログイン状態を扱う Client Component（Navbar など）の二大落とし穴。両方とも「ログイン直後に勝手にログアウトされる」症状を出す。

// ❌ ブラウザ client のイベント種別を真実源にする — 偽 SIGNED_OUT でログアウト化
supabase.auth.onAuthStateChange((event) => {
  if (event === "SIGNED_OUT") { setUser(null); return; }
  void loadMe();
});

// ✅ 常にサーバ (/api/me の getUser()) を真実源として再検証し、
//    サーバが user なしと返したときのみクリアする
supabase.auth.onAuthStateChange(() => { void loadMe(); });
// loadMe() は fetch("/api/me", { cache: "no-store" }) → setUser(data?.user ?? null)

ログアウト等、副作用を伴う route handler への <Link> には prefetch={false} 必須。
受保護ルート（/saved・/account 等）への <Link> も prefetch が login へ redirect されるため prefetch={false} が安全。
クライアント側ロジックでナビゲートする項目（権限分岐など）は <Link> ではなく <button onClick> にして prefetch 自体を発生させない。

Reference incident: Navbar auth flicker + hover logout（2026-06-03 commit c4e1bde）.

Supabase Realtime

Supabase Realtime is NOT enabled by default for tables. Frontend .on("postgres_changes", ...) subscriptions will silently never fire unless the table has been added to the publication first.

Required database step before any Realtime feature can work:

ALTER PUBLICATION supabase_realtime ADD TABLE <table_name>;

Required migration pattern:

Create a new migration SQL file: ALTER PUBLICATION supabase_realtime ADD TABLE <table>;
Apply via Supabase Dashboard SQL editor (or CLI)
Only then will the frontend subscription receive events

Diagnosis: Supabase Dashboard → Database → Replication — confirm the target table appears in the supabase_realtime publication list.

Frontend subscription rules:

Create the Supabase client INSIDE useEffect — never at component top level. Top-level creation creates a stale closure risk: the useEffect captures the initial instance and may reference a stale/invalidated client after re-renders.
Admin pages must subscribe to both INSERT and UPDATE — INSERT picks up new rows; UPDATE syncs status changes (confirm/dismiss) across open tabs.
Always clean up in useEffect return: supabase.removeChannel(channel).
Extract a fetchRow(id) helper when both INSERT and UPDATE handlers need to re-fetch the full row (avoids duplicating the SELECT clause).

// ✅ 正確：在 useEffect 內部建立 client，避免 stale closure
useEffect(() => {
  const rt = createClient();
  const channel = rt
    .channel("table_changes")
    .on("postgres_changes", { event: "INSERT", schema: "public", table: "t" }, handleInsert)
    .on("postgres_changes", { event: "UPDATE", schema: "public", table: "t" }, handleUpdate)
    .subscribe();
  return () => { rt.removeChannel(channel); };
}, []);

// ❌ 錯誤：在頂層建立 client 再傳入 effect（stale closure 風險）
const supabase = createClient();
useEffect(() => {
  const channel = supabase.channel(...); // 可能捕捉到舊實例
}, []);

Server Component + Realtime 分離模式:

Server Component 中的動態 UI（badge、計數器）如果需要即時性，必須拆出為 Client Component：

// AdminTabNav.tsx（Server Component）
const pending = await getPendingCount();
return <AdminReportsBadge initialCount={pending} />; // Client Component

// AdminReportsBadge.tsx（Client Component）
const [count, setCount] = useState(initialCount);
useEffect(() => {
  const rt = createClient();
  const ch = rt.channel("badge")
    .on("postgres_changes", { event: "INSERT", ... }, () => setCount(c => c + 1))
    .on("postgres_changes", { event: "UPDATE", ... }, async () => setCount(await fetchCount()))
    .subscribe();
  return () => { rt.removeChannel(ch); };
}, []);

Reference incident: AdminTabNav badge（2026-05-02）— SSR-only badge 在報告提交後數字不更新，直到建立 AdminReportsBadge client component 才修復（commit 4a71258）.

// ✅ Subscribe to both INSERT and UPDATE for admin pages
supabase
  .channel("event_reports_changes")
  .on("postgres_changes", { event: "INSERT", schema: "public", table: "event_reports" }, handleInsert)
  .on("postgres_changes", { event: "UPDATE", schema: "public", table: "event_reports" }, handleUpdate)
  .subscribe();

Next.js SSR 快取無效化（`router.refresh()`）

Admin Client Component 執行 mutation 後導航回 SSR 頁面，必須先呼叫 router.refresh()。

// ❌ mutation 後只 push — 頁面仍顯示舊資料
await saveToDb(data);
router.push('/admin');

// ✅ 先 refresh 再 push — 強制 SSR 頁面重新執行 Server Component
await saveToDb(data);
router.refresh();
router.push('/admin');

適用場景（兩種更新模式，應同時部署）：

場景	解法
同一 tab 內的即時 row 更新（新報告、狀態變更）	Supabase Realtime 訂閱（`INSERT` + `UPDATE`）
跨頁面導航後列表顯示最新資料	`router.refresh()` before `router.push()`

ハンドラータイプ	`router.refresh()`	理由
confirm（event fields 変更 → `router.push()` あり）	✅ 必要	SSR キャッシュ無効化が必要
dismiss（report status のみ変更、stay-on-page）	❌ 不要・禁止	Realtime と RSC re-render が競合し画面破損

Python

When changing a function's return type (e.g. dict → tuple), immediately smoke-test before committing: python -c "from module import fn; print(type(fn(...)))"
Use getattr(obj, 'attr', default) when reading an attribute that may not exist on all subclasses.
Pipeline parity rule: Any post-processing step added to CI workflow (scraper.yml) must also be called in main.py's normal (non-dry-run) flow. Otherwise manual scraper runs produce incomplete results. Current full pipeline in main.py: scrape → merger → annotate → enrich_movie_titles() → enrich_person_names() → IndexNow. Enrich functions are idempotent — double execution (main.py + CI) is safe (just extra DB queries). When adding a new enrichment function: (1) add to main.py after annotate_pending_events(); (2) add CLI flag + step to scraper.yml.
Inline Python safety rule — Prompt Injection: Never use python3 -c "..." or heredoc python3 << 'PY' ... PY for scripts that interpolate DB values (e.g. f-strings over field_corrections.corrected_value, event fields, or any user-supplied text). Two attack vectors: (1) shell history pollution injects code into f-string braces; (2) DB data itself can contain injected shell commands — rows in field_corrections or other tables may embed rm -f ... or similar, which then appear inside {...} braces and corrupt the inline script. Rule: Always use create_file /tmp/<name>.py + python3 /tmp/<name>.py for any script that queries the DB and formats results with f-strings. File-based execution is fully isolated from the shell. If SyntaxError points at a { in -c mode, treat it as a prompt injection alert and switch to file mode immediately.

from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

_retry = Retry(
    total=3,
    backoff_factor=2,
    status_forcelist=[429, 500, 502, 503, 504],
    raise_on_status=False,
)
self._session.mount("https://", HTTPAdapter(max_retries=_retry))
self._session.mount("http://", HTTPAdapter(max_retries=_retry))

Backoff: 2s → 4s → 8s. Apply to both https:// and http:// mounts.

Next.js / Sentry

Server Component から client module の純関数を呼ばない: "use client" file exports belong to the client module graph. If a Server Component needs a parser, filter builder, or URL state helper, put the type/function in a server-safe web/lib/*.ts module and import only client components/hooks from the client file. Do not add compatibility re-exports from client context modules. Reference incident: 2026-06-03 homepage buildInitialFilters() render error.
Never set autoInstrumentServerFunctions: false — it silently disables server-side error capture.
Gate source map upload: sourcemaps: { disable: !process.env.SENTRY_AUTH_TOKEN }.

API Route JSON Safety Guard（Safari SyntaxError 防護）

所有 API route POST handler 必須用 try/catch 包整個函式體，確保任何情況下都回傳 JSON。

// ❌ 未包 try/catch — uncaught exception 回傳 HTML, Safari 拋 SyntaxError
export async function POST(request: Request) {
  const data = await request.formData(); // 若此行拋例外 → 回傳 HTML 500
  return NextResponse.json({ url: "..." });
}

// ✅ 包整個函式體
export async function POST(request: Request) {
  try {
    const data = await request.formData();
    // … all logic …
    return NextResponse.json({ url: "..." });
  } catch (err: unknown) {
    const message = err instanceof Error ? err.message : "Server error";
    return NextResponse.json({ error: message }, { status: 500 });
  }
}

配套規則：

File extension 必須消毒：從 user-uploaded filename 取副檔名前必須過濾特殊字元，防止破壞 Supabase storage path：
```
const rawExt = file.name.split(".").pop() ?? "jpg";
const ext = rawExt.replace(/[^a-zA-Z0-9]/g, "").slice(0, 10) || "jpg";
```
Client side fallback：const json = await res.json().catch(() => ({ error: "Upload failed (server error)" })) — 防止 non-JSON 500 在 client 端拋 SyntaxError。

SUPABASE_SERVICE_ROLE_KEY 必須顯式 guard：若依賴 service role 的 route 缺 key，要回傳明確錯誤訊息而非 undefined 引爆 TypeError：

const serviceKey = process.env.SUPABASE_SERVICE_ROLE_KEY;
if (!serviceKey) return NextResponse.json({ error: "Server misconfiguration: storage key not set" }, { status: 500 });

Reference incident: 2026-05-31 — web/app/api/upload/route.ts 未包 try/catch + extension 未消毒，Safari 上傳圖片全失敗；Chrome 無感（commit 616eecc）。

Homepage vs EventCard — Two Render Paths

事件卡片在本專案有兩條獨立渲染路徑，修改前必須同時檢查：

路徑	檔案	用途
共用元件	`web/components/EventCard.tsx`	saved、category、search 等其他頁面
首頁 inline	`web/app/[locale]/page.tsx`（行 ~290 的 `events.map`）	首頁專用，不 import EventCard

修卡片視覺前的 SOP：

grep -rn '<EventCard\|EventCard ' web/app/ web/components/ 列出所有 call site。
確認首頁使用的渲染路徑（首頁是 inline，不是 EventCard）。
共用邏輯（getCityLabel、日期格式、地址解析等純函式）抽至 web/lib/<name>.ts，兩處 import；切忌在兩處複製貼上同樣邏輯。
Vercel 部署後驗證：curl https://tokyotaiwanradar.com/zh | grep -c '<新元素 class>'，期望非 0。

Reference: 2026-05-05 城市徽章兩輪才生效（commit 5a29c13 → 9f4b468）。

Event Detail Page — Performer Display Priority

web/app/[locale]/events/[id]/page.tsx 的 performer 顯示邏輯必須依照以下優先序：

zh/en locale + performer_zh/en 存在 → getEventPerformer(event, locale)（多語言欄位優先）
performers[] 非空 → performers[].join("、")（日文多人列表 fallback）
fallback → getEventPerformer(event, locale)

Reference incident: 2026-05-09 — migration 054 新增多語言欄位後 UI 未同步，zh 頁面始終顯示日文（commit 2e6f4c2）。

performer / performers[] / performer_zh/en — 三欄架構

Field	Type	職責
`performer`	`TEXT`	日文單人主表演者；annotator GPT/regex 輸出；`getEventPerformer()` fallback 錨點
`performer_zh` / `performer_en`	`TEXT`	performer 的語言翻譯（一對一對應）；GPT 填入或人工設定
`performers[]`	`TEXT[]`	日本語（カタカナ）多人陣列；日本語ソースページのキャスト表記を使用；`performers_zh[]` は繁体字対応
`performers_zh[]`	`TEXT[]`	performers の繁体字対応；`getEventPerformer(event,'zh')` が参照する
`performers_en[]`	`TEXT[]`	performers の英語対応；`getEventPerformer(event,'en')` が参照する

⚠ 絕不可刪除 performer：performer_zh/en 錨定於它；34+ 處程式碼引用它；performers[] 有多人時翻譯欄位才有意義。

Auto-sync 規則（commit 4526d3a）：annotator 滿足以下四個條件時自動設 performers = [performer]：

本次 pass 設定了 performer
現有 performers[] 為空/null
GPT 本次未回傳 performers 陣列
performers 未在 field_corrections 保護中

此機制確保 UI 永遠能從 performers[] 讀取，不需在前端 fallback 回 performer。

performer multi-value 淨化規則（commit c4bd9e1）：performer 字段必須是單一人物名。annotator 輸出 performer 時必須經過 _MULTI_SEP_RE（[、,，×／/]）檢查：

包含區切符 → performers[] に分割し、performer / performer_zh / performer_en を None にクリア
enrich_person_names() の B1 策略が performers[] の各名前を ja_to_info で翻訳 → performers_zh/performers_en を生成
既存汚染 DB の一括移行は _oneoff_migrate_multi_performer.py --execute で実行する（--dry-run で事前確認）

TSX Component vs Helper — react-hooks/static-components Rule

Rules:

A function returning JSX with PascalCase name is treated as a component → must live at module top level (or be exported). Never declare it inside another component body.
A render-only helper used inline (not as <Tag />) must use camelCase and be invoked as a plain function call: {eventLink(event)}, not <EventLink event={event} />.
If you need closure over parent state, either:
1. Lift the helper to module scope and pass needed values as props/args, or
2. Use useMemo / useCallback to derive the JSX, then render {memoizedNode} directly.

// ❌ Fails react-hooks/static-components
export default function Page() {
  function SectionHeader({ title }) { return <h2>{title}</h2>; }
  function eventLink(e) { return <a href={...}>{e.name}</a>; } // PascalCase trap if renamed
  return <SectionHeader title="..." />;
}

// ✅ Component at module top level
function SectionHeader({ title }: { title: string }) { return <h2>{title}</h2>; }
export default function Page() {
  return <SectionHeader title="..." />;
}

// ✅ camelCase helper invoked as function call
function renderEventLink(e: Event) { return <a href={...}>{e.name}</a>; }
export default function Page() {
  return <ul>{events.map(e => <li key={e.id}>{renderEventLink(e)}</li>)}</ul>;
}

OG Image（opengraph-image.tsx）— Edge Runtime 規則

app/[locale]/events/[id]/opengraph-image.tsx 使用 ImageResponse（Satori 引擎），必須設定 export const runtime = "edge"。

Edge runtime 限制：只能用純 Web API。

可用	不可用
`fetch(url)`	`fetch(url, { next: { revalidate } })`
`Response`, `Request`, `TextDecoder`	`next: { tags }`, `next: { revalidate }`
`ArrayBuffer`, `Uint8Array`	Node.js `fs`, `path`, `crypto` 模組

// ❌ Edge runtime 拋錯
const res = await fetch(url, { next: { revalidate: 86400 } });

// ✅ 純 Web API，正確
const res = await fetch(url);

Google Fonts text API 子集化：

使用 ?text=... 參數只取頁面用到的字元，大幅縮小 ArrayBuffer 體積。
CSS 中 src: 與 url( 之間可能有空白；regex 必須用 /src:\s*url\(/，不可寫死 /src: url\(/。

// ❌ 若 CSS 為 "src:  url(..." 就會 miss
css.match(/src: url\(https:\/\//);

// ✅ 容許任意空白
css.match(/src:\s*url\(https:\/\//);

Bulk Action Pattern (AdminEventTable / AdminReportsTable)

When adding a new bulk operation that operates on a derived value from selected events (e.g. common categories, common source, common status):

Compute the derived value with useMemo([selected, events]) — never inline in render
Add a loading state (useState(false)) guarding the async handler
Use Promise.all(selectedEvents.map(...)) for parallel DB updates — do NOT loop with await sequentially
Apply optimistic local state update in setEvents() after Promise.all resolves
Only show the derived-value UI when the derived value is non-empty (conditional render in bulk bar)
Add i18n keys to all 3 message files using the Python json-module pattern

// ✅ sequential — safe when handleConfirm calls setSaving internally
for (const id of selectedIds) {
  await handleConfirm(id);
}

// ❌ parallel — causes setSaving race if handleConfirm has internal state updates
await Promise.all([...selectedIds].map(id => handleConfirm(id)));

Checkbox in list rows — wrapper element rule

When a list row is currently a <button> and you need to add a checkbox:

DO NOT put the checkbox inside the <button> — violates HTML spec (interactive element inside button)
Refactor wrapper: <button className="w-full ..."> → <div className="flex items-stretch"> + <label> checkbox </label> + <button className="flex-1 ...">
On the checkbox label, add onClick={(e) => e.stopPropagation()} to prevent bubble triggering row expand/collapse

// ✅ correct structure
<div className="flex items-stretch">
  <label onClick={(e) => e.stopPropagation()} className="flex items-center px-2 cursor-pointer">
    <input type="checkbox" checked={...} onChange={...} />
  </label>
  <button className="flex-1 text-left ..." onClick={handleExpand}>
    {/* row content */}
  </button>
</div>

Bulk action bar placement

Place bulk action bar in the section header (flex justify-between), not a bottom footer bar — more intuitive for list sections with variable item counts.

Sticky filter + bulk action container

Bulk add category (AdminEventTable)

The bulk action bar includes a "新增分類" row with a multi-select category picker (same CATEGORY_GROUPS layout as inline editor). Implementation:

State: bulkAddCatPending: Set<string> tracks pending selections, bulkAddCatOpen: boolean toggles dropdown
Merge: new Set([...prevCategory, ...catsToAdd]) — never duplicates
Writes category_corrections for AI feedback loop (same as single-event category edit)
Auto-resets selected Set on success (same as bulk remove)

AdminReportsTable — Protected Feature: Bulk Confirm

⚠️ This feature MUST NOT be removed unless a PRD explicitly requests it. Any refactor touching AdminReportsTable.tsx must verify all of the following remain intact:

State / function	Purpose
`selectedIds: Set<string>`	Tracks which pending rows are checked
`bulkConfirming: boolean`	Loading guard during bulk operation
`handleBulkConfirm(rows: ReportRow[])`	Sequential loop calling `handleConfirm` per id, then clears `selectedIds`

Row structure (each pending row):

<div className="flex items-stretch">
  <label onClick={(e) => e.stopPropagation()} className="flex items-center px-2 cursor-pointer">
    <input type="checkbox" checked={selectedIds.has(row.id)} onChange={...} />
  </label>
  <button className="flex-1 text-left ..." onClick={handleExpand}>
    {/* row content */}
  </button>
</div>

Bulk action bar (section header, flex justify-between):

「取消選取」→ t("bulkCancelSelect")
「通過已選取 (n)」→ t("bulkConfirmSelected", { count })
「全部通過 (n)」→ t("bulkConfirmAll", { count })

Why sequential loop (not Promise.all): handleConfirm internally calls setSaving (React state setter). Parallel calls cause state races. Always use for...of with await.

Incident: commit 3d45de6 removed bulk confirm alongside Realtime subscription removal. Restored in 4c30ab3. Do NOT repeat.

Admin Quality Page — Supabase Query Rules

missingAddr filter exclusion list: The "缺地址" section must exclude all of the following:

DB: location_name containing 「オンライン」 (online events) — .not("location_name", "ilike", "%オンライン%")
DB: location_name containing 「電視頻道」 (TV channel events)
DB: events with source_name = 'gguide_tv' (TV guide source)
DB: location_name containing 〒 (address already embedded in name) — .not("location_name", "like", "%〒%")
DB: location_name containing ・ (multi-city events — location_name uses ・-joined city names by convention; no single address exists)
Client: short geographic name ≤6 chars with no spaces (e.g. 東京, 香港, 岡山, 文京区 — no actionable address)

Archive cutoff 一致性規則： database.py 的 archive_ended_events() cutoff 必須與 quality page 的 today 截止一致。

⚠️ archiver 已刪除（2026-05-06）：archive_ended_events() 已從 database.py 和 main.py 完全移除。Quality page 的截止邏輯不再有對應的自動下架機制；事件 is_active 改為純手動管理。此規則已廢止。

i18n JSON File Editing — Unicode Safety Rule

Always use the Python json-module pattern for i18n edits:

import json, pathlib
path = pathlib.Path('web/messages/XX.json')
data = json.loads(path.read_text(encoding='utf-8'))
data['section']['key'] = 'new value'
path.write_text(json.dumps(data, ensure_ascii=False, indent=2) + '\n', encoding='utf-8')

After writing, verify with grep "key" web/messages/XX.json before committing.

replace_string_in_file is safe only for ASCII-only strings in JSON files.

Component / Usage	Namespace
FilterBar location/time options	`filters`
Category labels, group names	`categories`
Other keys	Check `useTranslations("X")` at the call site

After adding a key, verify placement with grep -n "newKey" web/messages/zh.json — line number should be within the expected block, not at the bottom of the file (top-level).

FilterBar timeMode 預設值規則

FilterBar.tsx 的每個 timeMode 切換必須同步設定合理的 URL 預設值：

切換到	動作
`active`	清空 `from`/`to`，立即 push
`all`	清空 `from`/`to`，立即 push
`past`	若 `to` 為空，預填今日（`new Date().toISOString().slice(0,10)`），立即 push

Rule: 不能讓 EventListClient 在 URL 參數不足時猜測 mode 的含義。每個 mode 必須有完整的 URL 狀態才能正確過濾。

// ✅ 正確：切換 past 時預填 to=today
} else if (e.target.value === "past") {
  const today = new Date().toISOString().slice(0, 10);
  setDraft((prev) => {
    const next = { ...prev, timeMode: "past", to: prev.to || today };
    pushWith(next);
    return next;
  });
}

Reference incident: 2026-05-14 — 切換 past 後畫面不動，因 from/to 皆空，EventListClient past 分支無任何過濾條件執行（commit 2ed3c7b）。

zsh git add with glob bracket paths: Any path containing [...] (e.g. web/app/[locale]/page.tsx) will fail in zsh with no matches found because zsh expands brackets as glob patterns.

Rule: Always wrap such paths in single quotes:

# ❌ fails in zsh
git add web/app/[locale]/page.tsx

# ✅ correct
git add 'web/app/[locale]/page.tsx'

Applies to all shell operations: git add, cp, mv, cat, etc.

GITHUB_TOKEN Permission Wording Sync

When touching any implementation or docs related to --create-issue and GITHUB_TOKEN, enforce one canonical wording only:

Fine-grained PAT: Issues: write + Metadata: read
Classic token: repo scope

In the same change set, sync all related layers:

Runtime/error text in scraper/update_source.py
Operational docs in docs/GITHUB_TOKEN_SYNC_CHECKLIST.md
Rotation instruction in .github/instructions/token-rotation.instructions.md
Agent usage docs in .github/agents/researcher.agent.md
Lifecycle summary in .github/SECRETS_LIFECYCLE.md

Never leave non-standard Issues permission wording (e.g. the &-separated form) in any tracked file.

Secrets Checklist Ownership

docs/GITHUB_TOKEN_SYNC_CHECKLIST.md is the single source of truth for the token sync checklist.

.github/TOKEN_SYNC_CHECKLIST.md must remain a redirect stub only.
Do not maintain duplicate checklist content in multiple files.
For public repo safety, examples must use placeholders (github_pat_xxx), never real values.

Category Update Protocol

Canonical source of truth: web/lib/types.ts → Category union type, CATEGORIES array, CATEGORY_GROUPS array.

When renaming a category display label (i18n only)

Update all three message files simultaneously:

web/messages/zh.json — key under categories.*
web/messages/en.json — same key
web/messages/ja.json — same key

For group labels: keys are group_arts, group_lifestyle, group_knowledge, group_society, group_archive.

When adding or removing a category value

Update all 6 locations in a single commit — do NOT split across commits:

web/lib/types.ts — Category union type
web/lib/types.ts — CATEGORIES flat array
web/lib/types.ts — CATEGORY_GROUPS (place in the correct group)
web/messages/zh.json — label under categories.*
web/messages/en.json — same key
web/messages/ja.json — same key

When reorganizing category groups (moving categories between groups)

Modify only CATEGORY_GROUPS in web/lib/types.ts — no component code changes needed.
AdminEventForm.tsx, ReportSection.tsx, and AdminReportsTable.tsx all read CATEGORY_GROUPS at runtime; they auto-reflect any reorganization.
group_knowledge canonical members: business, academic, lecture, taiwan_japan.
group_lifestyle includes: competition, workshop, exhibition, books_media, tv_program, healthcare.

6 UI surfaces that consume categories (all derive from types.ts — no component code changes needed for label renames)

Surface	File	Source	Type
前台篩選器	`web/components/FilterBar.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
後台篩選器	`web/components/AdminEventTable.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
AI 報錯選單	`web/components/ReportSection.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
活動編輯頁	`web/components/AdminEventForm.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
後台問題回報審核	`web/components/AdminReportsTable.tsx`	`CATEGORY_GROUPS` + `messages/categories.*`	選擇器
首頁活動卡片標籤	`web/components/EventCard.tsx`	`messages/categories.*` only	展示用

Note: EventCard.tsx renders category tags on the homepage card — display-only, no picker. Label renames propagate automatically.

Category group picker layout — paired-file rule

AdminEventForm.tsx, ReportSection.tsx, and AdminReportsTable.tsx all render the category group picker with CATEGORY_GROUPS. They must use the same layout at all times:

Structure: grid-cols-[4.5rem_1fr] per group row — col 1 = group label (right-aligned, shrink-0), col 2 = flex-wrap tags
Any layout change to any one of these three files must be applied to all three in the same commit
Do NOT use flex-wrap with a mixed label+tags row — overflows cause label misalignment when a group has many items

AdminEventTable.tsx — Protected Invariants

Whenever this file is modified for any reason, verify these 3 lines are intact before committing:

Search filter label: {t("name")} — tFilters namespace does NOT exist; using tFilters("search") silently renders the raw key string
Category filter label (in filter bar, not table column header): {t("category")} — same reason, do NOT use tFilters("category")
Category dropdown button: bg-white — do NOT revert to bg-gray-50

These were regressed at least twice when unrelated changes overwrote them. The tFilters mistake specifically recurred because old SKILL notes incorrectly listed it as the correct value.

Array.from(new Set(events.map(e => e.source_name))).sort()

const categoryCounts = useMemo(() => {
  const counts: Record<string, number> = {}
  events.forEach(e => { counts[e.category] = (counts[e.category] ?? 0) + 1 })
  return counts
}, [events])
// Render: `${label}${count > 0 ? ` (${count})` : ''}`

This pattern applies to any <select> filter whose options map 1-to-1 with a field on the events array.

web/app/api/admin/extract-from-image/route.ts Vision prompt 加欄位定義（含視覺位置提示，如「海報底部 credit block」）
web/components/AdminEventTable.tsx ARRAY_FIELDS 集合擴增該欄位 key
web/lib/types.ts Event interface 欄位定義為 string[] | null
web/components/AdminEventForm.tsx 表單 state 初始值（避免新增欄位卻無 input UI）

Reference incident: 2026-05-26 — co_organizers / sponsors 三路徑 sync 同時補齊（commits 280fdc4 + e54b925）。

AdminSourcesTable.tsx — agent_category Sync Rule

SOURCE_TYPE_LABELS — add the new key: { ..., <new_category>: "<display label>" }
getFilteredSources — detect the new category by reading source.agent_category directly, NOT by hardcoded ID lists. Hardcoded ID lists silently omit newly discovered sources.

This is a paired-file rule: discovery_accounts.py (defines agent_category) ↔ AdminSourcesTable.tsx (displays it).

AdminSourcesTable.tsx — i18n Rule: No Hardcoded Labels

All visible text in AdminSourcesTable.tsx must use t(). Never hardcode Chinese/Japanese strings.

Required i18n keys (must exist in all three messages/*.json):

Key	zh	en	ja
`sourcesFilterStatus`	狀態	Status	ステータス
`sourcesFilterAll`	全部	All	すべて
`sourcesFilterType`	來源分類	Type	分類
`sourcesEditTypeMap`	編輯分類對照表	Edit Type Map	分類マップを編集
`sourcesEditTypeMapTitle`	編輯分類對照表	Edit Source Type Map	分類マップを編集

Incident: 2026-05-01 — filter labels 狀態、全部、來源分類、編輯分類對照表 were hardcoded. Fixed in commit 4c30ab3.

Rule: Any new label added to AdminSourcesTable.tsx must immediately get a key in all three messages/ files. Use the Python json-module pattern for edits.

AdminSourcesTable.tsx — Filter Dropdown Count Pattern (typeCountMap)

When showing per-option counts in a filter <select> (e.g. "Peatix 主辦者 (5)"), the count must reflect:

Apply all other active filters (e.g. status/filter)
Exclude the filter's own dimension (e.g. type/selectedType)

This lets users see how many items they'd get if they switched to that option.

const typeCountMap = useMemo(() => {
  // Apply status filter only — do NOT apply selectedType
  const statusFiltered = sources.filter(s => {
    if (filter === "implemented" && s.status !== "implemented") return false;
    if (filter === "not-viable" && s.status !== "not-viable") return false;
    if (filter === "candidate" && s.status !== "candidate") return false;
    if (filter === "researched" && s.status !== "researched") return false;
    if (filter === "recommended" && s.status !== "recommended") return false;
    if (filter === "has_issue" && !s.github_issue_url) return false;
    return true;
  })
  const counts: Record<string, number> = {}
  statusFiltered.forEach(s => {
    const type = effectiveTypeMap[s.id] ?? s.agent_category ?? "unknown"
    counts[type] = (counts[type] ?? 0) + 1
  })
  return counts
}, [sources, filter, effectiveTypeMap])

// Render option:
// count > 0 → `${label} (${count})`
// count === 0 → `${label}` (no parentheses, avoid UI noise)
// "all" option → never show count (semantic total, `filtered.length` shown elsewhere)

Admin Tab Nav Sync Rule

All admin pages (web/app/[locale]/admin/*/page.tsx) share a manually duplicated tab nav bar. Every page must list the exact same tabs in the exact same order:

Events → Announcements → Reports → Stats → Quality → Research → Sources → Users → Creators → SEO-AEO

Current page renders as <span> (no link, visually distinct); all others render as <Link>.

When adding a new admin sub-page

Add the tab link to all 10 existing admin pages in the same commit.
Add the new page's own tab nav with the full set of tabs.
Add flex-wrap to the tab container if not already present.
Add i18n key for the new tab label to all three messages/*.json.

Verification command

grep -roh 'admin/[a-z_-]*' web/app/\[locale\]/admin/*/page.tsx | sort | uniq -c | sort -rn

Every route slug must appear the same number of times (= total number of admin pages). If any count differs, a page is missing that tab.

Incident: 2026-05-01 — announcements/page.tsx had only 5 tabs while admin main page had 10. Fixed in commit 1f37bb4.

Scraper Implementation

Every new scraper source must extend BaseScraper (scraper/sources/base.py) and implement scrape() → list[Event].
source_id must be stable across runs — it is the upsert dedup key. Use a deterministic hash or platform ID, never a timestamp.
raw_title and raw_description store original scraped text. Never overwrite them with translated or processed content.
Date rules: follow the 4-tier cascade in .github/skills/date-extraction/SKILL.md. Tier 4 (publish date fallback) fires only when tiers 1–3 all fail.
Prepend 開催日時: YYYY年MM月DD日\n\n to raw_description whenever start_date is known.
Structured raw_description extraction — prioritize content blocks over enumeration: Detail pages often contain navigation noise (navigation links, footers, breadcrumbs). Never enumerate <p> tags or slice first N elements to populate raw_description. Instead: (1) identify structural blocks (e.g., <table class="theater-detail">, <div class="detail-root">, or semantic headers) that contain event metadata, (2) extract each block as a labeled section (e.g., "作品紹介: ...", "料金: ...", "公式サイト: <url>"), (3) join with \n\n. This ensures annotator receives clean context rather than noisy text, preventing misclassification. Incident (2026-05-15): kawasaki_ac extracted first 8 <p> tags (mostly navigation), caused GPT to reject valid Taiwan film events as "unrelated".
Address conflict pre-flight normalization (2026-06-02): Any scraper/oneoff logic that compares street numbers using regex (for example \d+(?:-\d+)+) must normalize Unicode minus variants before matching. Minimum required transform: "−" -> "-" inside address normalization. Without this, venues pre-flight conflict checks can report false positives for the same location written with U+2212 in one source and ASCII hyphen in another.
Series-type scraper pattern — coordinate date format support with field extraction: When expanding a scraper's date parsing to support new formats (e.g., adding YYYY年M/D(土)～ support), simultaneously audit all related field extraction (pricing, times, location, organizer). Series-type sources often embed metadata in structured page sections (cinema event blocks, performance program tables) that depend on date parsing success to identify the correct block. If date parsing changes but pricing/times extraction doesn't, you risk incomplete or misaligned records. Pattern from kawasaki_ac (2026-05-15): supporting new date formats required also upgrading raw_description structure and extraction of business_hours, price_info, and official_url from the same detail page. Rule: When modifying a scraper's date logic, assume you must also update 3-5 other fields in the same commit.
selection_reason is documentation, not a gate: The selection_reason field records why an event was annotated (e.g., "Taiwan-related" vs "not selected"). It is not an enforcement mechanism. Three dangers: (1) a negative selection_reason written by annotator does NOT set is_active=false automatically, (2) upstream layers cannot rely on selection_reason to exclude bad data from downstream, (3) contradictions (e.g., is_active=true with selection_reason="not selected") silently propagate. To enforce exclusions, either: (a) have the scraper skip bad records entirely (preferred), (b) have annotator explicitly set is_active=false when rejecting, or (c) add consistency checks in DB with a CHECK constraint on (is_active, selection_reason) pairs. Do not rely on selection_reason text alone.
New scraper checklist — all 4 steps required:
1. Create scraper/sources/<name>.py extending BaseScraper
2. Register in scraper/main.py → SCRAPERS (import + add instance)
3. Insert a row in research_sources with status='implemented', scraper_source_name=<key>, and a valid url. Skipping this causes researcher.py to re-report the source as a new candidate and triggers a ⚠️ WARNING in CI logs every day.
4. Validate: python main.py --dry-run --source <key> returns events cleanly
_warn_unregistered_scrapers() in main.py runs on every non-dry-run and emits a WARNING for any scraper key missing from research_sources. Check CI logs if you see ⚠️ scraper(s) NOT registered.
Auto-QA via event_reports queue (2026-05-01): New automated content-quality checks must write findings into event_reports with an auto_* prefix in report_types[] (e.g. auto_qa_simplified_zh, auto_qa_missing_address). Do NOT build a separate admin queue — the existing /admin/reports confirm/dismiss flow handles auto-findings unchanged. Always dedup against existing rows of the same auto_* type per event_id — check ALL statuses (pending, confirmed, dismissed), not just pending. A confirmed/dismissed report means the admin has already reviewed it; re-creating it undoes admin work. Also dedup within a single run via in-memory set. See scraper/auto_qa.py and engineer history.md 2026-05-01 / 2026-05-05. Current QA_TYPES (as of 2026-06-03): auto_qa_simplified_zh, auto_qa_missing_address, auto_qa_missing_hours, auto_simplified_chinese, auto_qa_same_work_duplicate, auto_qa_performer_ai_translation_marker, auto_qa_performer_multi_value_pollution, auto_qa_performer_zh_equals_katakana, auto_qa_location_url_is_event_url.
Admin dashboard count — use head=True queries (2026-05-15, commit 518b5a8): Any summary/count card in admin pages must use .select('id', count='exact', head=True) rather than fetching rows and counting client-side. PostgREST silently truncates at max-rows=1000 regardless of .limit() — client-side count is always wrong for large tables. The head: true option fetches only the Content-Range header with the total count, returning no rows.
SIMP_RE / SC_ONLY / annotator._SIMP_TO_TRAD char addition rule (2026-05-01, updated 2026-05-11): Only add a char when its Traditional Chinese / Japanese form is a different glyph. Verify each candidate via CC-CEDICT or kanji.jitenon.jp before adding. Counter-example: 亮 is identical in Trad/Simp (照亮 is valid Trad) and triggered a false positive in production. When adding a new char, update all three simultaneously: annotator.py._SIMP_TO_TRAD, auto_qa.py.SIMP_RE, and auto_qa.py.SC_ONLY. Ensure SC_ONLY ⊆ _SIMP_TO_TRAD_RAW.keys() — detection must never find chars that fix cannot convert. See scraper-expert history.md 2026-05-01 and engineer history.md 2026-05-11.
Cron-driven slot rotation modulo wrap (2026-05-01): When N weekdays drive a (DAY-1) % M slot selector with M < N, days M+1..N silently re-run slots 0..(N-M-1). Acceptable when slots are idempotent (search + skip_hint dedup); NOT acceptable for slots requiring fixed cadence (e.g. Peatix slot 3 only on Thursdays). Override via DISCOVERY_SLOT env on extra cron entries, or raise SLOT_COUNT. See discovery-accounts.yml and engineer history.md 2026-05-01.
Body article > sidebar/footer widget rule (2026-05-22): When a single-source homepage shows the same event in multiple places (e.g. main <article> body and a footer/sidebar widget), always parse the body article first and fall back to the widget only if missing. Widgets are common "set once, forgotten on update" traps — main article is where editors focus. When both parse successfully and disagree, log a warning and prefer the body. Pattern: _parse_body_article() + _parse_widget() → chosen = body or widget. Date regex must support year-prefixed format ((20\d{2})年(\d{1,2})月(\d{1,2})日.*?～(?:(\d{1,2})月)?(\d{1,2})日). Incident: taiwan_festival_tokyo (event 80214e50) was stuck on widget's stale 6/25–28 dates while main article said 7/9–7/12.
Multi-city tour detection — never hardcode venue address (2026-05-01): Any scraper with a hardcoded location_address must add multi-city detection logic. Pattern for taiwan_cultural_center.py:
- Check description + name for ≥2 regional keywords (_MULTI_CITY_REGIONS = ["北海道", "大阪", "京都", "神奈川", "福岡", "名古屋", "仙台"])
- Threshold = 2 (not 1) to avoid false positives where a Tokyo event's description merely mentions another city
- When triggered: set location_name to a generic tour label (e.g. 台湾文化センター（全国巡回）) and set location_address = None
- For DB-patching already-scraped tours: update location_name, clear location_address directly in Supabase

Broadcast / Public Output Quality Gate

Rule: All broadcast/feed queries must include .in_("annotation_status", ["annotated", "reviewed"]) — do NOT assume all is_active events are fully annotated.

Reference: weekly_line_broadcast.py _fetch_upcoming_events() — pool filter added in commit b2864ea after pending events appeared with Japanese-only titles in the LINE weekly broadcast.

weekly_line_broadcast URL placement rule

URLs belong only in the 【小霧精選】 weekly picks section. The nearterm (type-grouped) and monthly sections must NOT append lines.append(f" {url}") — message length is the concern.

Checklist when editing _build_message():

weekly_events loop → URL line ✅ keep
nearterm group loop → URL line ❌ remove
monthly loop → URL line ❌ remove

city_label diagnosis checklist

_city_label() returns empty when both of these are missing:

location_prefectures is null
location_address does not start with a prefecture name (e.g. 東京都…)

Common cause: location_address == location_name (venue name written as address — caught by auto_qa_address_is_venue_name). Typical sub-patterns:

Address starts with a non-prefecture prefix like 会場は… (→ startswith miss)
Address is just the venue hall name (e.g. 早稲田大学早稲田キャンパス11号館710教室)

Fix: look up the real street address, set location_address = '東京都…' and location_prefectures = ['東京都'], FC-lock both fields.

Person Name Lookup Pattern

Two pipelines:

Movie events (structured lookup via eiga.com)

eiga.com movie page → extract cast/crew list (role, katakana name, person URL)
eiga.com person page → extract English name (英語表記) and origin country (出身)
zh.wikipedia → search English name + origin country for Chinese name. Fallback: ja.wikipedia CJK title or zh interlanguage link.

Uses lookup_person_names(name_ja) → returns all cast/crew.
Wikipedia uses strict=False (default) — allows CJK title fallback because input is known to be a person.

Non-movie events (general katakana extraction)

Regex extraction: extract_katakana_names(text) extracts katakana patterns with ・ separator (e.g. リン・チーリン, ツァイ・インウェン).
eiga.com person search → if found, get English name + origin.
Wikipedia lookup with strict=True — requires person-keyword match (zh.wikipedia) or zh interlanguage link (ja.wikipedia). No CJK title fallback.

Uses lookup_single_person(ja_name) → returns single PersonInfo or None.
Noise filtering: max 3 ・-parts, max 7 chars/part, noise suffix exclusion.
Self-filtering: non-person terms (place names, brands) naturally return None from Wikipedia.

Critical rules:

strict mode prevents false positives: Without strict mode, ja.wikipedia returns unrelated CJK titles (e.g. リン・インジュ → 安永亜季). Always use strict=True for general (non-movie) lookups.
Character name prefix stripping: eiga.com cast names include character names (e.g. 「孝綸（シャオルン）クー・チェンドン」). Must use _CHAR_NAME_PREFIX_RE regex to strip.
Wikipedia disambiguation requires origin country: Bare English names return unrelated results. Always append the origin country to the search query.
desc_zh fix requires GPT: Wrong names in desc_zh are GPT-generated phonetic translations. Must use GPT-4o-mini (_fix_person_names_gpt()) to identify and replace them.
desc_en fix uses direct replacement: Katakana names leaked into English text → replace with English name.

Annotator integration:

enrich_person_names() in annotator.py — queries ALL events (excl. eiga_com + already reviewed), routes movie vs non-movie, fixes desc_zh via GPT and desc_en via direct replacement.
CLI: python annotator.py --enrich-person-names
Caching: in-memory per movie and per person URL within a single run.

Auto-Scraper Layer B — `generate.py`

Scope boundaries (intentional non-scope)

Phase 2 does NOT:

Open PRs or push branches
Register the generated scraper into main.py's SCRAPERS list
Write to events or scraper_runs tables Generated code lives in scraper/auto_scraper/runs/<source_id>/ and is excluded from git (.gitignore).

Sandbox security — env allowlist

The validation subprocess receives only these env vars:

PATH, HOME, PYTHONUNBUFFERED, PLAYWRIGHT_BROWSERS_PATH, TMPDIR, LANG, LC_ALL

SUPABASE_*, OPENAI_API_KEY, GITHUB_TOKEN, LINE_* are never passed to the sandbox. Passing secrets to a subprocess running untrusted LLM-generated code is a critical security violation.

sandbox_env = {k: os.environ[k] for k in (
    "PATH", "HOME", "PYTHONUNBUFFERED", "PLAYWRIGHT_BROWSERS_PATH",
    "TMPDIR", "LANG", "LC_ALL",
) if k in os.environ}

Cleanup — defense in depth

The temporary sources/_auto_<name>.py file must be deleted via both:

try/finally block (runs on normal exit and exceptions)
atexit.register(cleanup_fn) (runs if process is killed mid-flight)

Using only one is insufficient. Missing the atexit means a SIGTERM leaves the temp file in sources/.

Budget guard

generate.py estimates token cost before committing the LLM call. If estimated cost exceeds DEFAULT_BUDGET_USD ($1.50), raise GenerateError("budget-exceeded", ...) and abort.

GPT4O_INPUT_COST_PER_1M = 2.50   # verify against current OpenAI pricing
GPT4O_OUTPUT_COST_PER_1M = 10.00

These constants must be reviewed whenever OpenAI changes pricing. Last verified: 2026-05.

7-day retry cooldown

CLI flags

python -m auto_scraper.generate --source-id <int>
  [--mock-llm spec.json]   # offline testing: read spec from file
  [--skip-sandbox]         # skip subprocess dry-run (unit tests)
  [--dry-run]              # no DB writes
  [--output-dir PATH]      # override runs/<source_id>/
  [--budget-usd FLOAT]     # override DEFAULT_BUDGET_USD

Required DB migration (migration 032)

ALTER TABLE research_sources
  ADD COLUMN IF NOT EXISTS auto_scraper_status TEXT,
  ADD COLUMN IF NOT EXISTS auto_scraper_pr_url TEXT,
  ADD COLUMN IF NOT EXISTS auto_scraper_failed_reason TEXT,
  ADD COLUMN IF NOT EXISTS auto_scraper_attempted_at TIMESTAMPTZ;

OpenAI Org-Level Quota Monitoring (separate concern from per-call budget)

--budget-usd (default $1.50/source) is a per-run safeguard. It does NOT protect against org-level monthly quota exhaustion.

Once OpenAI org quota is hit, all calls return 429 insufficient_quota — not just auto-scraper, but also annotator.py, researcher.py, enrich_addresses.py, etc. The entire pipeline halts silently if this happens during a cron window.
Per-call budget guards are necessary but not sufficient. Mitigation layers, in priority order:
1. Daily dev report (daily-dev-report.yml, 02:00 JST) should surface the OpenAI billing dashboard URL so the on-call dev can spot-check usage.
2. Future: poll /v1/usage endpoint and post a LINE alert when org-level usage > 80% of monthly cap. Treat as Tier-1 ops alert.
3. Manual: at start of any large batch run (e.g. auto-scraper batch e2e), check the OpenAI usage page first.
Reference incident: 2026-05-02 — mid-batch e2e exhausted monthly quota. All subsequent calls 429'd, batch silently aborted.

Discovery Accounts Pipeline (`discovery_accounts.py`)

Year must be dynamic — never hardcoded:

# CORRECT
_THIS_YEAR = datetime.now(JST).year
query = f"台湾 イベント {_THIS_YEAR}"

# WRONG — requires manual update every year
query = "台湾 イベント 2026"

Any query string that contains a year literal must use _THIS_YEAR or an equivalent datetime.now(...) derivation.

agent_category paired-file rule: When adding a new agent_category value in discovery_accounts.py, always update web/components/AdminSourcesTable.tsx in the same commit:

SOURCE_TYPE_LABELS — add <new_category>: "<display label>"
getFilteredSources — add a branch that reads source.agent_category directly (do NOT use hardcoded ID lists)

Current agent_category values and their labels:

`agent_category`	`SOURCE_TYPE_LABELS` label
`peatix_organizer`	`"Peatix 主辦者"`

Auto Research Pipeline (`auto_research.py`)

Batch query — `auto_research_status` filter rule

The batch query MUST include ALL "not yet processed" status values, not just NULL:

# CORRECT — includes both null and pending
.or_("auto_research_status.is.null,auto_research_status.eq.pending,auto_research_status.eq.error")

# WRONG — misses rows where DEFAULT 'pending' was inserted by migration
.or_("auto_research_status.is.null,auto_research_status.eq.error")

Rule: When a DB column has a non-NULL DEFAULT value, always verify that all batch queries filtering for "not yet processed" include that DEFAULT value as one of the OR conditions.

Incident (2026-05-05): 14 candidates silently skipped for days. Detected by noticing cron ran with 0 processed rows. Fixed in commit 5d2585d; 14 existing rows manually reset to NULL.

Tailwind CSS Dark Mode — Semantic Tokens Rule

The app uses class-based dark mode (html.dark set by anti-flash script in layout.tsx). The :root.dark block in globals.css overrides all semantic token variables.

Rule: Never use hardcoded hex for text/background colors in page components.

Use case	Correct class	Dark mode value
Headings (h1, h2)	`text-fg-strong`	`#fafafa`
Body paragraphs	`text-fg`	`#ededed`
Secondary text	`text-fg-muted`	`#a1a1aa`
Breadcrumb current	`text-fg-strong`	`#fafafa`
Page background	`bg-surface`	`#1f1f1f`

Do NOT use:

text-[#3A261F] (mocha brown — invisible on dark background)
text-[#4A362D] (dark brown — invisible on dark background)
dark:text-xxx variants — semantic tokens self-switch via :root.dark, no need for per-class dark variants

dark: variants are still valid for decorative colors not covered by semantic tokens (e.g. dark:bg-zinc-800).

Reference: about/page.tsx commit 8ab8d05 (2026-05-15).

After Fixing Any Error

Append an entry to .github/skills/agents/engineer/history.md (newest at top).
If the lesson generalizes, add a rule to this file.

Admin Correction Protection — Two-Tier Pattern

When building a UI that allows admins to correct AI-generated field values and triggers re-annotation (e.g. resetting annotation_status to pending), implement both tiers:

Tier P0 — Implicit preservation (`_ai_or_existing()`)

In normal re-annotation mode (not --all/--id), existing non-null DB values are preserved. AI output only fills null fields.

def _ai_or_existing(ai_val, existing_val, *, human_protected: bool = False):
    if human_protected:
        return existing_val        # Tier P1: NEVER overwrite
    if existing_val is not None:
        return existing_val        # Tier P0: keep non-null
    return ai_val                  # fill null with AI

Tier P1 — Explicit persistence (`field_corrections` table)

Schema: field_corrections(id, event_id, field_name, original_value, corrected_value, corrected_by, created_at) with UNIQUE on (event_id, field_name).

Write path: confirm-report.ts writes corrections to BOTH the events table AND field_corrections table in the same request.

Few-shot context: The annotator injects past corrections as few-shot examples into the SYSTEM_PROMPT, so GPT learns from admin feedback over time.

SELECT id, raw_title, raw_description, name_ja, name_zh FROM events WHERE id = '<eid>';

確認要鎖的值來自 raw_description（原始資料），而非來自已被 annotator 污染的 name_ja/name_zh 欄位。若需刪除錯誤 FC：

sb.table('field_corrections').delete().eq('event_id', eid).eq('field_name', '<field>').execute()

Reference incident: 2026-05-09 — c6d5232a 手動修正把污染後的 name_zh=大濛 鎖進 FC，需手動 delete + 正確值 re-upsert 才能修復。

# FC performer lock が残っていれば削除
fc = sb.table('field_corrections').select('id,corrected_value').eq('event_id', eid).eq('field_name', 'performer').execute()
if fc.data:
    sb.table('field_corrections').delete().eq('event_id', eid).eq('field_name', 'performer').execute()

Why both tiers are needed:

P0 alone: --all mode or admin overriding a non-null AI value with a different value → correction lost on next re-annotation.
P1 alone: excessive DB reads for every field; P0 handles the common case (null-fill) cheaply.

Price Regex Pattern for Japanese Yen

When parsing price fields, handle both 1500円 and ¥1,500 formats:

PRICE_RE = re.compile(r'[¥￥]?\s*([\d,]+)\s*円?')

Annotator — google_news_rss 文章補抓

Full translation pipeline documentation: See docs/TRANSLATION_PIPELINE.md for the complete 6-layer pipeline (scraper → DeepL → GPT-4o-mini → movie title lookup → person name fix → frontend fallback chain), CI execution order, and field inventory.

annotator.py has special handling for google_news_rss events whose start_date = NULL:

Playwright follow-redirect: For each such event, _fetch_gnews_article_text(url, browser) navigates the Google News redirect URL and waits 3 s for the JS redirect to resolve. If the final URL is still on google.com, the redirect failed — return None.
Article body extraction: Tries selectors in order: article, main, .article-body, .entry-content, .post-content, body. Takes the first that returns >200 chars. Truncated to _GNEWS_ARTICLE_MAX_CHARS = 4000 chars.
Passed to GPT as raw_desc: The fetched text replaces raw_description in the annotation call only — it is NOT written back to the DB. raw_description stays unchanged.
Shared browser instance: A single Browser is launched before the annotation loop and closed in finally. Never launch per-event — startup cost is too high.
Silent fail on errors: Timeout, paywall, bad redirect → return None, log DEBUG, continue annotation with the original (short) raw_desc.

# Key invariant: raw_description in DB is never overwritten
if article_text:
    raw_desc = article_text   # only for this GPT call
# DB upsert uses the original raw_description unchanged

Annotator — name_ja Preservation & Sub-event Original Naming

Sub-event name_ja / raw_title preservation (2026-05-02):

On re-annotation, the annotator pre-fetches existing sub-events by parent_event_id and preserves their name_ja and raw_title if already set.
Logic: sub_name_ja = existing["name_ja"] or gpt_name_ja — identical to parent preservation (event.get("name_ja") or raw_title).
This prevents GPT from rewriting katakana person names to kanji on re-annotation (e.g. チャン・ツィイー → 章子怡).
First annotation's GPT output is kept as source of truth; subsequent re-annotations cannot overwrite name_ja.

Sub-event name_ja / description_ja must use original Japanese text:

Movie titles → use the Japanese release title exactly as in the source (e.g. 赤い糸輪廻のひみつ)
Person names → use the original Japanese notation (katakana/kanji as in source, e.g. ギデンズ・コー, クー・チェンドン)
NEVER translate Chinese/Taiwanese person names into Japanese or invent katakana readings
This is enforced by the SUB-EVENT name_ja / description_ja rule in SYSTEM_PROMPT

General principle: All *_ja fields are source-of-truth original text. Translation corrections (movie titles, person names) only apply to *_zh and *_en fields.

Annotator — Subtitle Completeness Rule

SYSTEM_PROMPT rule (already added 2026-05-02): The SUBTITLE RULE section instructs GPT to always carry the complete subtitle into name_zh and name_en. Do NOT remove or weaken this rule.

Post-annotation QA — scan for truncated subtitles after any batch re-annotation of locked events:

import re, os; from dotenv import load_dotenv; from supabase import create_client
load_dotenv('.env'); sb = create_client(os.environ['SUPABASE_URL'], os.environ['SUPABASE_SERVICE_ROLE_KEY'])
SEP = re.compile(r'――|──|―|—')
r = sb.table('events').select('id,name_ja,name_zh,name_en').eq('name_ja_locked', True).eq('is_active', True).execute()
for e in r.data:
    nj = e.get('name_ja') or ''
    if SEP.search(nj):
        subtitle = SEP.split(nj, 1)[1].strip()
        print(f"CHECK {e['id'][:8]} | {nj}\n  zh: {e.get('name_zh')}\n  en: {e.get('name_en')}\n")

After finding truncated translations, correct them manually — re-running annotator will produce the same error unless you verify GPT respected the SUBTITLE RULE.

Incident (2026-05-02): 4 of 15 locked events had subtitle-truncated name_zh/name_en after initial annotation. Identified by manual scan + URL inspection. Corrected via direct DB update.

Annotator — Traditional Chinese (繁體中文) Rule

Checklist when modifying SYSTEM_PROMPT in annotator.py:

The first few lines must contain a LANGUAGE RULE block explicitly stating ALL *_zh fields → Traditional Chinese, NEVER Simplified.
Every zh-field description in the JSON schema must say "... in Traditional Chinese (繁體中文)".
Sub-event fields (sub_events[].name_zh, sub_events[].description_zh) must also say "Traditional Chinese (繁體中文)".

After any batch re-annotation, verify with:

import re
SIMP = re.compile(r'[东来这发会说时问门关对长进现与实变内还单层达]')
# Check name_zh, description_zh, location_name_zh, location_address_zh for all affected events

If any Simplified chars found: reset those events to pending and re-annotate.

`_to_trad()` — Deterministic post-processing safety net (全 `*_zh` 欄位)

name_zh, description_zh, business_hours_zh — via _to_trad(_str(annotation.get(...)))
location_name_zh, location_address_zh — via _loc_zh() which calls _to_trad() internally
organizer_zh — via _to_trad() on the organizer translation output
Sub-event name_zh, description_zh — via _to_trad(sub.get(...))

import os, re; from dotenv import load_dotenv; from supabase import create_client
load_dotenv('.env'); sb = create_client(os.environ['SUPABASE_URL'], os.environ['SUPABASE_SERVICE_ROLE_KEY'])
MAP = str.maketrans({"新字":"舊字", ...})  # add new chars to full map
ZH_FIELDS = ['name_zh','description_zh','location_name_zh','location_address_zh','business_hours_zh']
res = sb.table('events').select('id,' + ','.join(ZH_FIELDS)).execute()
for ev in res.data:
    updates = {f: (ev[f] or '').translate(MAP) for f in ZH_FIELDS if (ev.get(f) or '') != (ev.get(f) or '').translate(MAP)}
    if updates: sb.table('events').update(updates).eq('id', ev['id']).execute()

Scan pattern — run after every annotator change or char map expansion:

import re, os; from dotenv import load_dotenv; from supabase import create_client
load_dotenv('.env'); sb = create_client(os.environ['SUPABASE_URL'], os.environ['SUPABASE_SERVICE_ROLE_KEY'])
SIMP = re.compile(r'[东来这发会说时问门关对长进现与实变内还单层达诺厅络设联馆园'
                   r'个记构传经验弥与对让认为总视历强调节约运动办报导环义务战组织'
                   r'国际临产业属创据体点击继续阅读开艺术观众场举声画获奖选赛参团电'
                   r'热爱岛独虑忆仅尝试谈请龙丰华灵纪录极标准规细带广庆响惊显难类'
                   r'宝贵丽尽挡将断湾览间气坛静满简洁优连释迹态仪壮汇灯蕴韵须恳'
                   r'统种学数编价乡网绍预称评议论结处应欢]')
ZH = ['name_zh','description_zh','location_name_zh','location_address_zh','business_hours_zh']
res = sb.table('events').select('id,is_active,' + ','.join(ZH)).execute()
bad = [(e['id'][:8], e['is_active'], f, e[f]) for e in res.data
       for f in ZH if SIMP.search(e.get(f) or '')]
print(f'Simplified in *_zh fields: {len(bad)}')
[print(f'  {i} active={a} [{f}] {v!r}') for i,a,f,v in bad]

`_lock_fields_via_corrections()` — SC→TC Chokepoint Guard

_lock_fields_via_corrections() 對 field name 以 _zh 結尾的值，寫入 FC 前自動呼叫 _to_trad()。

Guard 實作位置：annotator.py _lock_fields_via_corrections() 函式內，在 json.dumps(fvalue) 前加 fvalue = _to_trad(str(fvalue)) if fname.endswith("_zh") else fvalue。

適用場景（所有寫入 FC 的路徑）：

_lock_fields_via_corrections() 被 annotator 主迴圈呼叫
backfill 腳本（如 _oneoff_backfill_organizer_i18n.py）呼叫
enrich_movie_titles() / enrich_person_names() 呼叫
手動 DB patch 後透過此函式鎖定

反模式： 直接 upsert field_corrections 表而不經 _lock_fields_via_corrections() → 繞過 SC→TC guard。所有 FC 寫入必須經此函式。

Reference incident: 2026-05-11 commit f7790a2 — 39 筆 organizer_zh SC 被 kanji copy 永久鎖入 FC。

SC→TC Detection/Fix Consistency Rule

auto_qa.py 的偵測範圍與修復範圍必須完全一致：

系統	字元集來源	掃描欄位
`_detect_simplified_chinese()`	`SC_ONLY`	6 個 `_zh` 欄位
`fix_simplified()`	`_SIMP_TO_TRAD_RAW`	6 個 `_zh` 欄位（2026-05-11 起）

一致性規則：

SC_ONLY ⊆ _SIMP_TO_TRAD_RAW.keys() — 偵測到的字元必須都有對應映射可修復
SC_ONLY 不可含 SC/TC 共用字元（如征/蹈/零/蒙）— 這些在 TC 中有合法用法
fix_simplified() 的欄位清單必須與 _detect_simplified_chinese() 完全相同

驗證字元是否為假陽性：CC-CEDICT 或 kanji.jitenon.jp 查詢，確認 TC 字形與 SC 字形不同才可加入 SC_ONLY。

Reference incident: 2026-05-11 commit aa24400 — 征/蹈/零/蒙假陽性 + 见/从/库缺映射 → 無限 dismiss 循環。

AEO Monitoring — proxy.ts Edge Middleware Rules

web/proxy.ts is Next.js Edge middleware (not a server component or API route). All logging inside it must follow Edge Runtime constraints.

Fire-and-forget logging rule

Correct pattern:

// Fire-and-forget: no await, no throw
void fetch(supabaseUrl + "/rest/v1/aeo_visits", {
  method: "POST",
  headers: { "apikey": anonKey, "Content-Type": "application/json" },
  body: JSON.stringify({ ... }),
});
// Continue immediately
return intlMiddleware(request);

Bot / AI referral detection pattern

Two independent detection layers (mutually exclusive — UA check takes priority):

BOT_PATTERNS: Array<[RegExp, string]> — User-Agent regex → bot name label (GPTBot, ClaudeBot, PerplexityBot, etc.)
AI_REFERER_HOSTS: Record<string, string> — referer hostname → AI source label (perplexity.ai → Perplexity, chatgpt.com → ChatGPT, etc.)

Non-locale route exclusion rule

Static files in web/public/ (e.g. llms.txt, custom JSON)
Non-locale routes such as short redirect routes (/r/*), API routes, webhook endpoints
Any new route pattern not under /{locale}/

Matcher pattern (append new exclusions here):

export const config = {
  matcher: ["/((?!_next|api|r/|.*\\.(?:ico|png|jpg|svg|webp|txt|xml|json)).*)"],
};

Current exclusions: llms.txt (via txt extension), standard static assets. When adding a new public/ file with an unusual extension, verify the matcher covers it.

AEO — JSON-LD Rules

FAQPage visibility requirement

{/* JSON-LD */}
<script type="application/ld+json">{JSON.stringify(faqSchema)}</script>

{/* Visible FAQ — REQUIRED alongside JSON-LD */}
<dl>
  <dt>What is this?</dt>
  <dd>Answer...</dd>
</dl>

JSON-LD layering

Global (layout.tsx): WebSite + SearchAction + Organization via @graph
Page-level (page.tsx): BreadcrumbList, CollectionPage, ItemList, FAQPage
Never duplicate WebSite/Organization schemas in page-level files — they are already in layout.

sitemap.ts — x-default alternates

When adding alternates.languages to sitemap entries, always include x-default pointing to the canonical locale (zh):

languages: { "x-default": zhUrl, zh: zhUrl, en: enUrl, ja: jaUrl }

Without x-default, search engines cannot determine the primary language version.

localhost Lighthouse canonical rule

Use a localhost-only branch in generateMetadata():

if (isLocalRequest) {
  return {
    alternates: {
      canonical: `${base}/${locale}`,
    },
  };
}

return {
  alternates: {
    canonical: `${base}/${locale}`,
    languages: {
      zh: `${base}/zh`,
      en: `${base}/en`,
      ja: `${base}/ja`,
      "x-default": `${base}/zh`,
    },
  },
};

Keep deployed hosts unchanged: full hreflang output including x-default must still ship in production.

AEO — IndexNow Integration

scraper/indexnow.py provides submit_urls(urls) and event_urls(uuids).

database.py return type contract

scraper.yml env vars required

Both INDEXNOW_KEY and NEXT_PUBLIC_SITE_URL must be set in the workflow env: block. NEXT_PUBLIC_SITE_URL is used by indexnow.py to construct canonical event URLs.

Key verification file

The IndexNow key verification file (web/public/<key>.txt) must be excluded from the proxy.ts matcher. The current .txt wildcard already covers it, but verify if you use a non-standard extension.

AEO — Topic Aggregation Pages

web/app/[locale]/cities/[city]/page.tsx and web/app/[locale]/categories/[category]/page.tsx are static aggregation pages (generateStaticParams).

i18n namespace rules

City descriptions → cities.* namespace in messages/*.json
Category descriptions → categoryDesc.* namespace in messages/*.json
Both namespaces must exist in all three message files before the page is built; missing namespace causes t("key") to return raw key string silently.

sitemap inclusion

Agent Frontmatter Rules

Handoff target agents 禁止設 user-invocable: false：此旗標讓 VS Code 把 agent 從可解析清單移除，所有指向它的 handoffs: 按鈕靜默失效。
判斷原則：任何在其他 agent handoffs: 裡被引用的 agent，一律不得設 user-invocable: false。
user-invocable: false 僅適用於純 subagent（只被 parent agent 透過 agents: list 呼叫、不出現在 Agent Picker、無人 handoff 到它）。
Incident：update-history-agent.agent.md 與 validate-merge-deploy.agent.md 誤設此旗標，Engineer/Designer/Scraper Expert 的 handoff 按鈕全部消失（commit 6188653 修正）。

GitHub Actions Workflow Rules

Any with: field in an action step whose value is a pure ${{ expression }} (no surrounding text) must be quoted: path: "${{ steps.x.outputs.y }}".
Bare expressions in path:, name:, and similar scalar fields cause YAML schema validator warnings in VS Code and some CI linters.
Any run: step whose command contains both a ${{ }} expression and shell double-quote characters (e.g. --input "${{ steps.x.outputs.y }}") must use a block scalar (|) instead of an inline scalar. Inline scalars mixing " and ${{ }} trigger VS Code YAML extension schema validation warnings. All other run: steps may remain inline.
Step parity rule: When multiple workflows share the same tool dependencies (e.g. Playwright, Python packages), they must have identical setup steps. When adding a new setup step to one workflow (e.g. playwright install chromium --with-deps), immediately check all other workflows for the same dependency and add the step there too. Divergence causes silent failures — missing setup steps do not error at workflow startup, only at the point of use. Example: researcher.yml was missing playwright install for weeks while scraper.yml had it, causing all URL verifications to return url_verified=False silently (fixed in commit d7f4b41).
Node.js 24 opt-in: Any workflow using actions/checkout@v4 or actions/setup-python@v5 must include FORCE_JAVASCRIPT_ACTIONS_TO_NODE24: true at the top-level env: block. GitHub mandates Node.js 24 for Actions starting 2025-06-02; without this opt-in, the workflow emits Node.js 20 deprecation warnings. Template:
```
env:
  FORCE_JAVASCRIPT_ACTIONS_TO_NODE24: true
```
This is a top-level env: key (parallel to jobs:), NOT a step-level env:.
YAML parser quirk — if: multi-line blocks: Multi-line if: conditions using >- or | block scalars sometimes fail with All mapping items must start at the same column or similar. Always prefer single-line double-quoted strings for if: expressions. If multi-line is unavoidable, test with act or push a draft branch before merging.
YAML parser quirk — [{...}] inline jq filters in run: blocks: GitHub's YAML parser incorrectly flags [{type:"text",...}] inside run: | block scalars as Nested mappings not allowed in compact mappings. Fix: assign the jq filter to a shell variable:
```
run: |
  JQ_FILTER='[{type:"text",text:"..."}]'
  curl ... --data "$(jq -n --arg t "$MSG" "$JQ_FILTER")"
```
Reference: commits c38ddd5, b9a462c.

Scraper/Merger pipeline step order

The daily CI pipeline must run steps in this order:

main.py → merger.py → annotator.py → annotator.py --fix-reviewed

merger.py must come after main.py so new scraped events are present for deduplication.
annotator.py must come after merger.py so merged events are re-annotated immediately (not left pending until the next cycle).
merger.yml runs separately (3× daily cron: 01:00 / 09:00 / 16:00 UTC) with the same annotator follow-up steps, ensuring cross-source duplicates are cleaned between full scraper runs.

merger.py `_normalize()` — Rules for safe similarity matching

_normalize() preprocesses both names before SequenceMatcher. Current transformations (order matters):

Trademark normalization: ®/Ⓡ → (r), ™ stays lowercased
iwafu subtitle stripping: [－—\-]…[－—\-] at end of string removed
Year suffix stripping: re.sub(r"20\d{2}[春夏秋冬]?\s*$", "", name) — strips year-only and year+season suffixes so recurring annual events match across years
Whitespace collapse: all Unicode whitespace removed, lowercase

When adding a new normalization rule:

Run similarity spot-checks for: (a) intended matches (must hit ≥ 0.85), (b) known non-duplicates (must stay < 0.85)
Classic pitfall: two different annual events with similar short names. Example: "台湾フェスティバル™TOKYO" vs "台湾文化祭" → 0.200 after year strip (safe). Confirm before committing.

Incident (2026-05-05): 台湾文化祭2026 (iwafu) vs 台湾文化祭 (taiwanbunkasai) scored 0.714 before year-strip fix, causing manual merge to be required every year.

merger.py Pass 2 location matching rules

_location_overlap() accepts: (a) substring containment for strings ≥ 4 chars, OR (b) shared token ≥ 2 chars after split on [\s\u3000、,（()）・].
Both branches needed because location strings vary widely:
- イオン太田 ⊂ イオンモール太田 — substring branch
- 東京都新宿区 shares 新宿区 token with 新宿K's cinema 新宿区 — token branch
DO NOT lower min-length below 4 — 東京 ⊂ 東京都 would create false matches.

`_NEWS_SOURCES` membership criteria

A source belongs to _NEWS_SOURCES if any of:

titles do NOT match the official event name verbatim (news rewrites, RSS summaries)
start_date may be article-publish date instead of event date
location may be city-only / prefecture-only instead of venue

Event deactivation audit fields (migration 044)

Every code path that sets events.is_active = false MUST also write three audit columns:

deactivated_at — ISO timestamp (new Date().toISOString() or Python datetime.now(timezone.utc).isoformat())
deactivated_reason — short human-readable string
deactivated_by_pass — one of: merger_pass_0 (gnews dedup), merger_pass_1 (name similarity), merger_pass_2 (news date+location), merger_pass_3 (orphan reattach), merger_pass_4 (grandchild flatten), orphan_cleanup (orphan with no parent), admin_manual (UI deactivate)

When re-activating (setting is_active = true), null out all three fields so stale audit data does not persist.

Inventory of setters that must comply (audit when modifying any of them):

scraper/merger.py — use the _deactivate_payload(reason, pass_id) helper
web/components/IsActiveToggle.tsx
web/components/AdminEventTable.tsx (handleToggleActive + handleBulkToggleActive)
web/app/actions/confirm-report.ts (three branches: wrongCategory unresolved, wrongDetails needsReannotation, isIrrelevant)

Discovery Pipeline

scraper/discovery_accounts.py is a separate pipeline from BaseScraper. It discovers new organizer accounts on external platforms and upserts them into research_sources.

Slot rotation design

4 daily slots (Mon–Thu), derived from weekday: Mon=0, Tue=1, Wed=2, Thu=3.
Slots 0–2 run note.com keyword discovery; Slot 3 runs Peatix group discovery.
Controlled by DISCOVERY_SLOT env var (set by discovery-accounts.yml via $(date +%u) - 1) or --slot CLI arg.
The .github/workflows/discovery-accounts.yml cron runs Mon–Thu only (not Fri–Sun).
Adding a new platform: add a new slot (increment total), add a _run_{platform}_task() function, update the DISCOVERY_SLOT derivation in the workflow.

Peatix organizer verification

_verify_peatix_group(group_id) performs an HTTP GET to https://peatix.com/group/{group_id} and checks for a non-404 response.
Verified groups are upserted to research_sources with agent_category='peatix_organizer'.
peatix.py Layer 3 reads these rows at runtime — no code change needed when a new organizer is discovered.

Platform-aware upsert

agent_category in research_sources determines which scraper picks up the organizer:
- 'peatix_organizer' → peatix.py Layer 3
- (future) 'connpass_organizer' → connpass.py
Always set agent_category when upserting a new discovered account.

Multi-locale Edit Pattern

This codebase stores localized values in parallel columns: name_ja, name_zh, name_en, description_ja, description_zh, description_en, etc.

Rule: Any UI component that lets a user view or correct a localized field must expose all three locale variants simultaneously — never only the current locale.

Canonical pattern (TypeScript):

type LocaleKey = "zh" | "en" | "ja";
const LOCALES_ORDER: LocaleKey[] = ["zh", "en", "ja"];
const LOCALE_LABELS: Record<LocaleKey, string> = { zh: "中文", en: "English", ja: "日本語" };

// Prop type for a multi-locale field value
Partial<Record<FieldKey, Partial<Record<LocaleKey, string | null>>>>

// State type for edits
Partial<Record<FieldKey, Partial<Record<LocaleKey, string>>>>

// Render: 3 labeled textareas
LOCALES_ORDER.map((loc) => (
  <div key={loc}>
    <p className="text-xs text-amber-400 mb-0.5">{LOCALE_LABELS[loc]}</p>
    <textarea value={edits[field]?.[loc] ?? ""} onChange={...} rows={2} />
  </div>
))

// Submission: only append non-empty edits
for (const loc of LOCALES_ORDER) {
  const edit = edits[field]?.[loc]?.trim();
  if (edit) reportTypes.push(`fieldEdit:${field}:${loc}:${edit.slice(0, 500)}`);
}

page.tsx — pass all three locale values explicitly (do NOT use locale-aware helpers):

eventFields={{
  name: { zh: event.name_zh, en: event.name_en, ja: event.name_ja },
  venue: { zh: event.location_name_zh, en: event.location_name_en, ja: event.location_name },
  // ...
}}

Applies to: ReportSection.tsx, any future admin review/correction UI, feedback forms.

Cross-Platform Environment Variables

GitHub Actions secrets and Vercel environment variables are completely separate systems. Never assume a secret set in one platform is available in the other.

Rule: When implementing a feature that has components in both GitHub Actions (cron/scraper) and Vercel (API route/webhook), explicitly set required credentials in both platforms.

LINE bot example — both platforms must have both variables:

Variable	GitHub Actions Secrets	Vercel Env Vars
`LINE_CHANNEL_TOKEN`	✅ broadcast	✅ webhook
`LINE_CHANNEL_SECRET`	✅ broadcast	✅ webhook signature

Missing a Vercel env var for a webhook causes silent HTTP 401 failures. LINE does not retry failed deliveries — follow events are permanently lost.

Diagnostic checklist when a webhook writes 0 rows:

Check the table directly: SELECT count(*) FROM line_subscribers
Test INSERT with the same logic manually — confirms schema is not the problem
Check the Vercel env var list (not just GitHub Actions secrets)
If a variable is missing in Vercel, add it; then have the user block + unblock the bot to re-trigger the follow event

enrich_addresses.py — 地址補齊工具

scraper/enrich_addresses.py 使用 OpenAI gpt-4o-mini 查詢有場館名但缺地址的活動，並寫回 DB。

使用方式

# dry-run（只預覽，不寫入 DB）
python enrich_addresses.py --dry-run

# 只處理特定 source
python enrich_addresses.py --source ssff --dry-run
python enrich_addresses.py --source ssff

# 處理所有符合條件的事件
python enrich_addresses.py

跳過邏輯（以下情況不查詢）

source_name = 'gguide_tv'（TV 頻道，無實體地址）
location_name 包含 オンライン 或 電視頻道（線上活動）
location_address 已有值（不覆蓋）

寫入欄位

欄位	說明
`location_address`	日文地址（主欄位）
`location_address_zh`	中文地址
`location_address_en`	英文地址

信心度過濾： LLM 回傳 confidence 欄位；只有 confidence=high 才寫入，low/medium 直接跳過。避免寫入 LLM 猜測的錯誤地址。

可複用模式

任何「有 venue name 但缺地址」的來源都適用。執行前先用以下 SQL 確認目標範圍：

SELECT source_name, COUNT(*) AS cnt
FROM events
WHERE location_name IS NOT NULL
  AND location_address IS NULL
  AND source_name NOT IN ('gguide_tv')
  AND location_name NOT LIKE '%オンライン%'
  AND location_name != '電視頻道'
GROUP BY source_name
ORDER BY cnt DESC;

Quality Page — 缺欄位誤報排除模式

當 Quality page 顯示「缺 X 欄位」的筆數異常高時，先分組統計，再決定 filter 邏輯。

診斷步驟

-- 確認哪些 source 貢獻了「缺地址」的事件
SELECT source_name, COUNT(*) AS cnt
FROM events
WHERE location_name IS NOT NULL
  AND location_address IS NULL
  AND is_online IS NOT TRUE
GROUP BY source_name
ORDER BY cnt DESC;

若某個 source（如 gguide_tv）的事件天然沒有實體地址，應在 前端 filter 排除，而不是標記為「待修」。

Quality page filter 排除模式（TypeScript）

// ❌ 錯誤：把 TV 頻道事件也算進缺地址
const missingAddr = events.filter(e =>
  e.location_name && !e.location_address && !e.is_online
);

// ✅ 正確：DB 層排除天然無實體地址的來源 + client 層排除短地名
// DB query:
//   .not("location_name", "is", null)
//   .is("location_address", null)
//   .neq("source_name", "gguide_tv")
//   .not("location_name", "like", "%〒%")
//   .not("location_name", "ilike", "%オンライン%")
// Client filter:
const missingAddr = (dbResults).filter(e => {
  const loc = e.location_name ?? "";
  if (loc.length <= 6 && !loc.includes(" ") && !loc.includes("　")) return false;
  return true;
});

原則

TV 頻道 / 廣播節目：source_name = 'gguide_tv'，location_name 存頻道名稱 → DB .neq() 排除。
線上活動：location_name 含 オンライン → DB .not() 排除。
地址嵌入名稱：location_name 含 〒（郵便番号）→ DB .not() 排除。
短地名（≤6 字元）：如「東京」「香港」「文京区」→ client filter 排除（無更精確地址可填）。
新增 quality check 時，先確認「哪些情況下欄位為空是合理的」，再寫 filter。

Location Filter Three-File Sync Rule

The location filter is implemented in three separate files that must always stay in sync:

File	What to update
`web/components/FilterBar.tsx`	`options` array (labels + values) + i18n keys
`web/app/[locale]/page.tsx`	Server-side OR query (`location_address ilike` per region marker)
`web/components/AdminEventTable.tsx`	`filterLocation` state type (union literal) + marker arrays + `getFiltered` predicate + `sourceCountMap`

Region marker logic (current 6-option layout):

Value	Detection
`"tokyo"`	`location_address` contains Tokyo ward/city markers, or is null (default)
`"kanto"`	ilike markers: 神奈川, 埼玉, 千葉, 茨城, 栃木, 群馬, 山梨, 東北各縣, 北海道
`"chubu"`	ilike markers: 愛知, 静岡, 岐阜, 長野, 新潟, 富山, 石川, 福井, 大阪, 京都, 兵庫, 奈良, 滋賀, 和歌山, 三重
`"chugoku"`	ilike markers: 広島, 岡山, 鳥取, 島根, 山口, 九州各縣, 四國各縣, 沖縄
`"online"`	`location_name` contains `オンライン`
`"tv"`	`location_name` contains `電視頻道`

Rules:

State type must match options exactly. The filterLocation state is a TypeScript string literal union. If a new option value is added but the union type is not updated, TypeScript will NOT report an error — instead, the unknown value silently falls through all predicates and shows zero results.
Use ilike marker lists, not NOT logic. Defining regions by exclusion (e.g. "not Tokyo, not online") misses events with null addresses or partial matches. Always use explicit positive marker lists per region.
All three files in one commit. Partial sync (e.g. only updating FilterBar) causes the server query to return wrong data or the admin filter to show stale counts.

Incident: 2026-05-01 — rewrote from tokyo / other_japan / taiwan / online / tv to tokyo / kanto / chubu / chugoku / online / tv. All three files updated in commit b8dfe2b.

Works Entity Conventions

(Migration 048_works_entity.sql — 2026-05-05)

works 是電影／舞台劇／巡演的「作品層級」上層實體；events.work_id 為 nullable FK 指向 works.id，ON DELETE SET NULL。

conference 不在允許清單！學術研討會建 work 用 other。PostgreSQL check constraint 執行時才報錯，無 schema 預覽——建立前先查現有值：sb.table("works").select("work_type").execute()。

規則：

僅 admin 維護：works 表不由 annotator 寫入；只有 web/app/actions/works.ts 的 admin server actions 可建立／更新／刪除。RLS：anon SELECT，admin ALL via user_roles。
與 parent_event_id 並存：兩者職責正交。work_id 跨 events 串作品；parent_event_id 在單一活動內串 master/sub-event。同一筆 event 可同時設定兩者（影展中的某場放映 → work_id 指向被放映的電影、parent_event_id 指向影展整體）。
詳情頁 cross-link 必須用 service role：anon-key client 對 is_active=false 的 sibling event 會 silently 過濾為 null（RLS 規則）。查同 work_id 的其他場次必須用 SUPABASE_SERVICE_ROLE_KEY 建立 client，且 select 限定最少欄位（id,name_*,start_date,location_name,...），絕不 select("*")。
work_id 變更不更新 events.updated_at：assign/unassign 只是 metadata link，不應觸發任何 ISR revalidate 或 re-annotation。assignWorkToEvent action 直接 update({work_id: ...})，不附帶其他欄位。
Migration 應用後：跑一次 scraper/_oneoff_backfill_works.py 補上既有觸發 case（月老、大濛），再刪除腳本。
original_title UNIQUE：migration 048 在 original_title 上建立 unique index，backfill 才能用 on_conflict='original_title' 或「先 select 再 update」。新增腳本若需 idempotent upsert，先用 .eq('original_title', ...).limit(1) 檢查，避免依賴 PostgREST on_conflict 對複合條件的 brittle 行為。
merger Pass 1 整合：同 work_id 跨 venue 的 movie/performing_arts pair 不再合併（會破壞「同作品多場次」呈現）。merger.py 已在 Pass 1 加入兩個跳過條件：(a) 雙方 work_id 非空且不同 → skip；(b) category 含 movie/performing_arts 且 _location_overlap()=False → skip。輸出 [Pass 1 SKIP] log。
original_title（中文片名）必須先用 lookup_movie_titles(title_ja) 查 eiga.com：scraper/movie_title_lookup.py 已有完整 pipeline 從 eiga.com 的 原題または英題 欄位取得正確中文片名。函式回傳 3-tuple (name_zh, name_en, official_url)（commit a4ecdba，2026-05-12 起）。批次建立 works 時，必須先對每筆 title_ja 呼叫此函式；僅對回傳 (None, None, None) 的才需用維基百科、台灣電影網或 IMDb 人工交叉驗證。解包時必須用 3-tuple：name_zh, name_en, official_url = lookup_movie_titles(title_ja)，不可沿用舊 2-tuple 解包（name_zh, name_en = ...）——會觸發 ValueError: too many values to unpack。禁止用 GPT 直譯生成 original_title——日文片名與中文原始片名的關係不可預測（如 超低予算ムービー大作戦 的原題是 導演你有病，不是 超低預算電影大作戰）。
batch 腳本必須呼叫 post_batch_enrich(event_ids)：所有 _oneoff_*.py 在寫入 DB 後，必須 from annotator import post_batch_enrich 並呼叫。此函式自動執行 eiga.com 片名 lookup + field_corrections 鎖定。人名修正需額外執行 python annotator.py --enrich-person-names。禁止在 batch 腳本中用 GPT 直譯生成 name_zh/name_en。

Reference: 月老 (f970e4e3 shin_bungeiza ↔ 4a8772ec cinemart_shinjuku) 與大濛 (dec5031b cinemart_shinjuku ↔ d201c261 taioan_dokyokai) — migration 048 + Phase 7 cohort.

engineer

Plus depuis ce dépôt

Plus depuis ce dépôt

Engineer Skills

⚠️ CRITICAL: Canonical File Paths

Workflow Automation Guardrails

Agent Handoff Reliability

CSS Selector Specificity Pitfalls

E2E Local Server Prerequisite

Admin GPT routes — server-side enum whitelist intersect（2026-05-26 教訓）

Database

Supabase Client UPDATE — 0-row Silent Success Guard

RLS Policy Matrix Completeness Guard（建表時 SELECT/INSERT/UPDATE/DELETE 缺一即 silent failure）

Admin Mutation 成對原則（confirm / dismiss / toggle）

URL 存在確認 — apex と www の両方を試す

annotation_status エラーイベントの定期リセット

Async Fetch AbortSignal Timeout Guard（UI 永久 loading 防護）

Client Component 直接 INSERT 禁止 — Server Action 義務化

annotate-event SELECT 紀律（ユーザー入力欄を守る）

Auth — ブラウザ SIGNED_OUT を単独の真実源にしない / route handler <Link> の prefetch 副作用（2026-06-03 教訓）

Supabase Realtime

Next.js SSR 快取無效化（router.refresh()）

Python

Next.js / Sentry

API Route JSON Safety Guard（Safari SyntaxError 防護）

Homepage vs EventCard — Two Render Paths

Event Detail Page — Performer Display Priority

performer / performers[] / performer_zh/en — 三欄架構

TSX Component vs Helper — react-hooks/static-components Rule

OG Image（opengraph-image.tsx）— Edge Runtime 規則

Bulk Action Pattern (AdminEventTable / AdminReportsTable)

Checkbox in list rows — wrapper element rule

Bulk action bar placement

Sticky filter + bulk action container

Bulk add category (AdminEventTable)

AdminReportsTable — Protected Feature: Bulk Confirm

Admin Quality Page — Supabase Query Rules

i18n JSON File Editing — Unicode Safety Rule

FilterBar timeMode 預設值規則

GITHUB_TOKEN Permission Wording Sync

Secrets Checklist Ownership

Category Update Protocol

When renaming a category display label (i18n only)

When adding or removing a category value

When reorganizing category groups (moving categories between groups)

6 UI surfaces that consume categories (all derive from types.ts — no component code changes needed for label renames)

Category group picker layout — paired-file rule

AdminEventTable.tsx — Protected Invariants

AdminSourcesTable.tsx — agent_category Sync Rule

AdminSourcesTable.tsx — i18n Rule: No Hardcoded Labels

AdminSourcesTable.tsx — Filter Dropdown Count Pattern (typeCountMap)

Admin Tab Nav Sync Rule

When adding a new admin sub-page

Verification command

Scraper Implementation

Broadcast / Public Output Quality Gate

weekly_line_broadcast URL placement rule

city_label diagnosis checklist

Person Name Lookup Pattern

Movie events (structured lookup via eiga.com)

Non-movie events (general katakana extraction)

Auto-Scraper Layer B — generate.py

Scope boundaries (intentional non-scope)

Sandbox security — env allowlist

Cleanup — defense in depth

Budget guard

7-day retry cooldown

CLI flags

Required DB migration (migration 032)

OpenAI Org-Level Quota Monitoring (separate concern from per-call budget)

Discovery Accounts Pipeline (discovery_accounts.py)

Auto Research Pipeline (auto_research.py)

Batch query — auto_research_status filter rule

Tailwind CSS Dark Mode — Semantic Tokens Rule

After Fixing Any Error

Admin Correction Protection — Two-Tier Pattern

Tier P0 — Implicit preservation (_ai_or_existing())

Tier P1 — Explicit persistence (field_corrections table)

Price Regex Pattern for Japanese Yen

Annotator — google_news_rss 文章補抓

Auth — ブラウザ `SIGNED_OUT` を単独の真実源にしない / route handler `<Link>` の prefetch 副作用（2026-06-03 教訓）

Next.js SSR 快取無效化（`router.refresh()`）

Auto-Scraper Layer B — `generate.py`

Discovery Accounts Pipeline (`discovery_accounts.py`)

Auto Research Pipeline (`auto_research.py`)

Batch query — `auto_research_status` filter rule

Tier P0 — Implicit preservation (`_ai_or_existing()`)

Tier P1 — Explicit persistence (`field_corrections` table)

`_to_trad()` — Deterministic post-processing safety net (全 `*_zh` 欄位)

`_lock_fields_via_corrections()` — SC→TC Chokepoint Guard

merger.py `_normalize()` — Rules for safe similarity matching

`_NEWS_SOURCES` membership criteria

Auth — ブラウザ `SIGNED_OUT` を単独の真実源にしない / route handler `<Link>` の prefetch 副作用（2026-06-03 教訓）

Next.js SSR 快取無效化（`router.refresh()`）