串接商品看板比價覆核隊列

2026-05-20 01:14:12 +08:00
parent baf5eb2881
commit 2bf2245cea
6 changed files with 243 additions and 26 deletions
--- a/TODO_NEXT_STEPS.txt
+++ b/TODO_NEXT_STEPS.txt
@@ -4,6 +4,8 @@
 ================================================================================

 【已完成】
+   - V10.298 補市場情報 candidate queue review AI summary persistence run receipt：新增 `/api/market_intel/manual_sample_review/candidate_queue_review_ai_summary_persistence_run_receipt` 與 UI 按鈕，審核操作員貼回的 metadata_json CLI writer output、post-write smoke、dedupe key、summary payload hash、artifact path 與 token 外洩風險；API/UI 仍不讀 approval token、不執行 CLI、不連 DB、不寫 `metadata_json`、不派送 Telegram、不掛 scheduler。
+   - V10.297 將 PChome 單位價覆核隊列接回商品看板第一屏：KPI 顯示待處理/需單位價覆核數，焦點區列出候選 PChome 商品、候選價、match score 與人工動作；新增 `filter=pchome_review` 的比價覆核隊列，讓使用者可直接進入待處理 SKU，不再只在 daily/growth/PPT 摘要看到統計。
   - V10.296 補核心 MOMO/PChome 比價第三層語意與覆核閉環：同核心商品但買送、套組、件數不同且只有單一基礎規格時標記 `unit_comparable`，只寫入 `competitor_match_attempts`；商品看板、daily/growth 報表、OpenClaw/PPT 摘要共用 `competitor_intel_repository` 的覆核隊列，顯示「需單位價比較」、候選商品、候選 PChome 價格與單位價換算證據；多容量/多品項套組仍保持不可比較，避免把不同販售組合直接寫進正式總價差。
   - V10.289 重排 Elephant Alpha L3 HITL `ea_escalation` Telegram 告警：改成專業 incident brief 格式，分成決策狀態、背景摘要、風險摘要、TOP 待審 SKU 與建議處置；價格行動會拆出 MOMO/PChome 價格、價差、人工處置與 PChome ID，避免長 bullet 難讀。
   - V10.284 關閉 Code Review Hermes LLM scan 預設路徑：Step 2 改 deterministic fast static scan，不再讓部署後先卡三段 Ollama timeout；若需要 LLM scan 可用 `CODE_REVIEW_HERMES_LLM_SCAN_ENABLED=true` 顯式開啟，仍只走本地矩陣、不走 Gemini。
--- a/docs/AI_INTELLIGENCE_MODULE_SOT.md
+++ b/docs/AI_INTELLIGENCE_MODULE_SOT.md
@@ -2,7 +2,7 @@

 > **最後更新**: 2026-05-20 (台北時間)
 > **狀態**: 🟢 四 AI Agent 自動化閉環已落地；LLM 路由紅線升級為 Ollama-first 三主機級聯，Gemini 僅備援 / 鎖定場景
-> **適用版本**: V10.296
+> **適用版本**: V10.297

 ---

@@ -56,7 +56,7 @@ SQL漏斗(~300筆)
 - 比對覆蓋率補強入口：`POST /api/ai/pchome-match/backfill`，優先補抓仍無有效 PChome 配對的高價 ACTIVE 商品，完成後自動重算 AI 挑品清單。
 - 排程閉環：`run_pchome_match_backfill_task` 每日 10:30 執行，補抓 PChome 待比對商品、寫入歷史價格，再重算 `strategy='product_pick'` 清單。
 - PChome / MOMO 競價摘要出口 `services/competitor_intel_repository.py` 使用 30 分鐘共享快取（`COMPETITOR_INTEL_CACHE_TTL_SECONDS` 可調），避免 `/growth_analysis`、`/daily_sales`、PPT/AI 報表每次請求重跑昂貴覆蓋率與價差趨勢查詢；`run_competitor_price_feeder_task` 與 PChome backfill 完成後會主動清除快取。快取只包摘要輸出，不改 matcher 的高信心門檻與 identity_v2 準確性規則。
- 商品看板第一屏：`/` 的 V2 看板直接以 `products`、`price_records`、`competitor_prices`、`ai_price_recommendations` 顯示比對覆蓋率、PChome 優勢、MOMO 威脅、AI 挑品與待比對優先清單；`filter=ai_picks` 可查看 50 品 AI 挑品列表，並在列表上方顯示平均信心、平均價差、最大價差與估算總價差空間，列表列內顯示 AI 排名與建議理由，且可透過 `/api/export/excel/ai-picks` 匯出 50 品 Excel 操作清單。商品看板深度快取同時寫入 `data/dashboard_full_cache.pkl`，供多個 Gunicorn worker 共用，避免部署後各 worker 重複重建 7,000+ 商品統計造成開頁變慢；所有資料異動與 AI 挑品重算都透過 `clear_dashboard_cache()` 同步清除記憶體與共享快取，手動重算 API 會立即預熱商品看板快取，避免第一位使用者承擔重建成本。
+- 商品看板第一屏：`/` 的 V2 看板直接以 `products`、`price_records`、`competitor_prices`、`competitor_match_attempts`、`ai_price_recommendations` 顯示比對覆蓋率、PChome 優勢、MOMO 威脅、AI 挑品、待比對優先清單與 PChome 覆核隊列；`filter=ai_picks` 可查看 50 品 AI 挑品列表，`filter=pchome_review` 可直接查看需人工處理的比價覆核 SKU，列內顯示候選 PChome 商品、候選價、match score、單位價換算摘要與人工動作。商品看板深度快取同時寫入 `data/dashboard_full_cache.pkl`，供多個 Gunicorn worker 共用，避免部署後各 worker 重複重建 7,000+ 商品統計造成開頁變慢；所有資料異動與 AI 挑品重算都透過 `clear_dashboard_cache()` 同步清除記憶體與共享快取，手動重算 API 會立即預熱商品看板快取，避免第一位使用者承擔重建成本。

 | 角色 | 模型 | 主機 | 成本 | 每日限額 |
 |------|------|------|------|---------|
--- a/routes/dashboard_routes.py
+++ b/routes/dashboard_routes.py
@@ -406,21 +406,36 @@ def _load_pchome_match_attempt_map(session, skus):

    try:
        stmt = text("""
-            WITH ranked AS (
+            WITH latest_momo AS (
                SELECT
-                    sku,
-                    attempt_status,
-                    candidate_count,
-                    best_competitor_product_id,
-                    best_competitor_product_name,
-                    best_competitor_price,
-                    best_match_score,
-                    error_message,
-                    attempted_at,
-                    ROW_NUMBER() OVER (PARTITION BY sku ORDER BY attempted_at DESC) AS rn
-                FROM competitor_match_attempts
-                WHERE source = 'pchome'
-                  AND sku IN :skus
+                    p.i_code AS sku,
+                    p.name AS momo_product_name,
+                    pr.price AS momo_price,
+                    ROW_NUMBER() OVER (PARTITION BY p.id ORDER BY pr.timestamp DESC, pr.id DESC) AS rn
+                FROM products p
+                JOIN price_records pr ON pr.product_id = p.id
+                WHERE p.i_code IN :skus
+            ),
+            ranked AS (
+                SELECT
+                    cma.sku,
+                    cma.attempt_status,
+                    cma.candidate_count,
+                    cma.best_competitor_product_id,
+                    cma.best_competitor_product_name,
+                    cma.best_competitor_price,
+                    cma.best_match_score,
+                    cma.error_message,
+                    cma.attempted_at,
+                    lm.momo_product_name,
+                    lm.momo_price,
+                    ROW_NUMBER() OVER (PARTITION BY cma.sku ORDER BY cma.attempted_at DESC) AS rn
+                FROM competitor_match_attempts cma
+                LEFT JOIN latest_momo lm
+                  ON lm.sku = cma.sku
+                 AND lm.rn = 1
+                WHERE cma.source = 'pchome'
+                  AND cma.sku IN :skus
            )
            SELECT *
            FROM ranked
@@ -458,6 +473,42 @@ def _format_dashboard_dt(value):
    return str(value)


+def _get_session_engine(session):
+    try:
+        return session.get_bind()
+    except Exception:
+        return getattr(session, 'bind', None)
+
+
+def _load_competitor_review_context(session, limit=12):
+    try:
+        from services.competitor_intel_repository import (
+            fetch_competitor_coverage,
+            fetch_competitor_review_queue,
+        )
+        engine = _get_session_engine(session)
+        if not engine:
+            return {'coverage': {}, 'review_queue': []}
+        return {
+            'coverage': fetch_competitor_coverage(engine) or {},
+            'review_queue': fetch_competitor_review_queue(engine, limit=limit) or [],
+        }
+    except Exception as exc:
+        sys_log.warning(f"[Dashboard] PChome 覆核隊列讀取略過: {exc}")
+        return {'coverage': {}, 'review_queue': []}
+
+
+def _merge_competitor_review_context(overview, review_context):
+    coverage = review_context.get('coverage') or {}
+    review_queue = review_context.get('review_queue') or []
+    overview.update({
+        'review_queue_count': int(coverage.get('actionable_review_count') or len(review_queue) or 0),
+        'unit_comparable_count': int(coverage.get('unit_comparable_count') or 0),
+        'review_queue': review_queue[:3],
+    })
+    return overview
+
+
 def _parse_agent_footprint(value):
    if not value:
        return {}
@@ -538,6 +589,9 @@ def _load_competitor_decision_overview(session, latest_items=None):
        'top_pchome_advantages': [],
        'top_momo_threats': [],
        'pending_priority': [],
+        'review_queue_count': 0,
+        'unit_comparable_count': 0,
+        'review_queue': [],
    }

    if latest_items:
@@ -658,6 +712,10 @@ def _load_competitor_decision_overview(session, latest_items=None):
                }
                for row in sorted(pending_items, key=lambda row: row['momo_price'], reverse=True)[:3]
            ]
+            _merge_competitor_review_context(
+                overview,
+                _load_competitor_review_context(session, limit=12),
+            )
            _DASHBOARD_DATA_CACHE[cache_key] = overview
            _DASHBOARD_DATA_CACHE[cache_ts_key] = time.time()
            return overview
@@ -852,6 +910,10 @@ def _load_competitor_decision_overview(session, latest_items=None):
            }
            for row in session.execute(pending_sql).mappings().all()
        ]
+        _merge_competitor_review_context(
+            overview,
+            _load_competitor_review_context(session, limit=12),
+        )
        _DASHBOARD_DATA_CACHE[cache_key] = overview
        _DASHBOARD_DATA_CACHE[cache_ts_key] = time.time()
        return overview
@@ -861,6 +923,10 @@ def _load_competitor_decision_overview(session, latest_items=None):
            session.rollback()
        except Exception:
            pass
+        _merge_competitor_review_context(
+            default,
+            _load_competitor_review_context(session, limit=12),
+        )
        _DASHBOARD_DATA_CACHE[cache_key] = default
        _DASHBOARD_DATA_CACHE[cache_ts_key] = time.time()
        return default
@@ -1643,9 +1709,24 @@ def index():
        ai_pick_skus = []
        ai_pick_map = {}
        ai_pick_summary = None
+        review_queue = []
+        review_queue_map = {}
+        review_queue_order = {}
        if filter_type == 'ai_picks':
            ai_pick_skus, ai_pick_map = _load_ai_pick_selection(session, PRODUCT_PICK_LIST_LIMIT)
            ai_pick_summary = _summarize_ai_pick_selection(ai_pick_map)
+        elif filter_type == 'pchome_review':
+            review_context = _load_competitor_review_context(session, limit=50)
+            review_queue = review_context.get('review_queue') or []
+            review_queue_map = {
+                str(row.get('sku') or ''): row
+                for row in review_queue
+                if row.get('sku')
+            }
+            review_queue_order = {
+                sku: idx
+                for idx, sku in enumerate(review_queue_map.keys(), start=1)
+            }

        # 先處理搜尋
        if search_query:
@@ -1671,6 +1752,12 @@ def index():
                i for i in base_items
                if str(i['record'].product.i_code) in pick_set
            ]
+        elif filter_type == 'pchome_review':
+            review_set = set(review_queue_map.keys())
+            filtered_items = [
+                i for i in base_items
+                if str(i['record'].product.i_code) in review_set
+            ]
        elif filter_type == 'delisted':
            for item in today_delisted_items:
                class DelistedRecord:
@@ -1720,6 +1807,9 @@ def index():
            if filter_type == 'ai_picks':
                sku = str(item['record'].product.i_code)
                return -ai_pick_map.get(sku, {}).get('rank', 9999)
+            if filter_type == 'pchome_review':
+                sku = str(item['record'].product.i_code)
+                return -review_queue_order.get(sku, 9999)
            return item['record'].timestamp

        sorted_items = sorted(filtered_items, key=get_sort_key, reverse=reverse)
@@ -1736,6 +1826,7 @@ def index():
            item['safe_created_at'] = getattr(item['record'].product, 'created_at', None)
            sku = str(item['record'].product.i_code)
            item['ai_pick'] = ai_pick_map.get(sku)
+            item['pchome_review'] = review_queue_map.get(sku)
            item['safe_momo_url'] = (
                item.get('safe_product_url')
                or normalize_momo_product_url(item['record'].product.url, sku)
@@ -1820,6 +1911,7 @@ def index():
                               most_active_count=most_active_count,
                               competitor_overview=competitor_overview,
                               ai_pick_list_limit=PRODUCT_PICK_LIST_LIMIT,
+                               build_momo_product_url=_build_momo_product_url,
                               active_page='dashboard')
    except Exception as e:
        sys_log.error(f"[Web] [Dashboard] 渲染錯誤 | Error: {e}")
--- a/templates/dashboard_v2.html
+++ b/templates/dashboard_v2.html
@@ -39,9 +39,12 @@
                </div>
            </div>
            <div class="dashboard-kpi">
-                <div class="dashboard-kpi-label momo-mono">待比對</div>
-                <div class="dashboard-kpi-value momo-mono is-warning">{{ overview.pending_match_count | default(0) | number_format }}</div>
-                <div class="dashboard-kpi-sub momo-mono">高價品項優先補抓</div>
+                <div class="dashboard-kpi-label momo-mono">比價覆核</div>
+                <div class="dashboard-kpi-value momo-mono is-warning">{{ overview.review_queue_count | default(0) | number_format }}</div>
+                <div class="dashboard-kpi-sub momo-mono">
+                    <a class="dashboard-kpi-sub-link" href="{{ url_for('dashboard.index', filter='pchome_review', category=current_category, q=search_query, sort_by='pchome_review', order='desc') }}">需單位價覆核 {{ overview.unit_comparable_count | default(0) | number_format }}</a>
+                    · 待補抓 {{ overview.pending_match_count | default(0) | number_format }}
+                </div>
            </div>
            <div class="dashboard-kpi">
                <div class="dashboard-kpi-label momo-mono">資料新鮮度</div>
@@ -143,8 +146,42 @@
            </div>

            <div class="dashboard-focus-card">
-                <div class="dashboard-focus-label momo-mono">補資料優先</div>
-                {% if overview.pending_priority %}
+                <div class="dashboard-focus-label momo-mono">覆核與補資料</div>
+                {% if overview.review_queue %}
+                    <div class="dashboard-focus-list">
+                        {% for item in overview.review_queue %}
+                            <div class="dashboard-focus-row">
+                                <a class="dashboard-focus-row-title" href="{{ url_for('dashboard.index', filter='pchome_review', q=item.sku, sort_by='pchome_review', order='desc') }}">{{ item.name }}</a>
+                                <div class="dashboard-focus-row-meta momo-mono">
+                                    <span class="dashboard-focus-chip is-review">{{ item.status_label }}</span>
+                                    <span>MOMO ${{ item.momo_price | int | number_format }}</span>
+                                    {% if item.candidate_pc_price %}
+                                        <span>候選 PChome ${{ item.candidate_pc_price | int | number_format }}</span>
+                                    {% endif %}
+                                    {% if item.best_match_score %}
+                                        <span>match {{ (item.best_match_score * 100) | round(0) | int }}%</span>
+                                    {% endif %}
+                                </div>
+                                <div class="dashboard-focus-sub">{{ item.action_label }}</div>
+                                {% if item.unit_comparison and item.unit_comparison.summary %}
+                                    <div class="dashboard-review-note momo-mono">{{ item.unit_comparison.summary }}</div>
+                                {% endif %}
+                                <div class="dashboard-focus-row-links">
+                                    <a class="dashboard-platform-link is-momo momo-tracked-link" href="{{ build_momo_product_url(item.sku) if build_momo_product_url is defined else '#' }}" data-momo-original-url="{{ build_momo_product_url(item.sku) if build_momo_product_url is defined else '#' }}" target="_blank" rel="noopener noreferrer"
+                                        data-track-platform="momo"
+                                        data-track-source="dashboard-v2-overview-review-queue"
+                                        data-track-product-id="{{ item.sku }}"
+                                        data-track-icode="{{ item.sku }}"
+                                        data-track-product-name="{{ item.name|e }}">MOMO {{ item.sku }}</a>
+                                    {% if item.candidate_pc_id %}
+                                        <a class="dashboard-platform-link is-pchome" href="https://24h.pchome.com.tw/prod/{{ item.candidate_pc_id }}" target="_blank" rel="noopener noreferrer">PChome {{ item.candidate_pc_id }}</a>
+                                    {% endif %}
+                                </div>
+                            </div>
+                        {% endfor %}
+                    </div>
+                    <a class="dashboard-focus-action" href="{{ url_for('dashboard.index', filter='pchome_review', category=current_category, q=search_query, sort_by='pchome_review', order='desc') }}">查看高優先覆核隊列</a>
+                {% elif overview.pending_priority %}
                    <div class="dashboard-focus-list">
                        {% for item in overview.pending_priority %}
                            <div class="dashboard-focus-row">
@@ -172,8 +209,8 @@
                        {% endfor %}
                    </div>
                {% else %}
-                    <div class="dashboard-focus-title">待比對清單已清空</div>
-                    <div class="dashboard-focus-sub momo-mono">目前 ACTIVE 商品都有有效 PChome 配對或尚無最新 MOMO 價格</div>
+                    <div class="dashboard-focus-title">覆核隊列已清空</div>
+                    <div class="dashboard-focus-sub momo-mono">目前 ACTIVE 商品沒有高優先 PChome 覆核項目</div>
                {% endif %}
            </div>
        </div>
@@ -203,6 +240,7 @@
                <div class="dashboard-segmented">
                    <a class="{% if current_filter == 'all' %}is-active{% endif %}" href="{{ url_for('dashboard.index', filter='all', category=current_category, q=search_query, sort_by=current_sort, order=current_order) }}">全部</a>
                    <a class="{% if current_filter == 'ai_picks' %}is-active{% endif %}" href="{{ url_for('dashboard.index', filter='ai_picks', category=current_category, q=search_query, sort_by='timestamp', order='desc') }}">AI挑品</a>
+                    <a class="{% if current_filter == 'pchome_review' %}is-active{% endif %}" href="{{ url_for('dashboard.index', filter='pchome_review', category=current_category, q=search_query, sort_by='pchome_review', order='desc') }}">比價覆核</a>
                    <a class="{% if current_filter == 'new' %}is-active{% endif %}" href="{{ url_for('dashboard.index', filter='new', category=current_category, q=search_query, sort_by=current_sort, order=current_order) }}">新上架</a>
                    <a class="{% if current_filter == 'increase' %}is-active{% endif %}" href="{{ url_for('dashboard.index', filter='increase', category=current_category, q=search_query, sort_by=current_sort, order=current_order) }}">漲價</a>
                    <a class="{% if current_filter == 'decrease' %}is-active{% endif %}" href="{{ url_for('dashboard.index', filter='decrease', category=current_category, q=search_query, sort_by=current_sort, order=current_order) }}">降價</a>
@@ -223,10 +261,12 @@
        <div class="dashboard-table-card">
            <div class="dashboard-table-head">
                <span class="dashboard-section-index momo-mono">04</span>
-                <span class="dashboard-table-title">{{ 'AI 挑品清單' if current_filter == 'ai_picks' else '商品列表' }}</span>
+                <span class="dashboard-table-title">{{ 'AI 挑品清單' if current_filter == 'ai_picks' else ('比價覆核隊列' if current_filter == 'pchome_review' else '商品列表') }}</span>
                <span class="dashboard-table-meta momo-mono">
                    {% if current_filter == 'ai_picks' %}
                        {{ total_items | number_format }} / {{ ai_pick_list_limit }} 品
+                    {% elif current_filter == 'pchome_review' %}
+                        {{ total_items | number_format }} / {{ overview.review_queue_count | default(0) | number_format }} 待處理
                    {% else %}
                        {{ total_items | number_format }} 筆
                    {% endif %}
@@ -293,7 +333,7 @@
            {% endif %}

            <div class="dashboard-table-wrap">
-                <table class="dashboard-table {% if current_filter == 'ai_picks' %}is-ai-picks{% endif %}">
+                <table class="dashboard-table {% if current_filter == 'ai_picks' %}is-ai-picks{% elif current_filter == 'pchome_review' %}is-review{% endif %}">
                    <thead>
                        <tr>
                            <th>分類</th>
@@ -305,6 +345,8 @@
                            <th>競價判讀</th>
                            {% if current_filter == 'ai_picks' %}
                                <th>AI 建議</th>
+                            {% elif current_filter == 'pchome_review' %}
+                                <th>覆核動作</th>
                            {% endif %}
                            <th class="text-end">
                                <a href="{{ url_for('dashboard.index', page=1, sort_by='yesterday_change', order='asc' if current_sort == 'yesterday_change' and current_order == 'desc' else 'desc', category=current_category, filter=current_filter, q=search_query) }}">昨日漲跌</a>
@@ -442,6 +484,35 @@
                                            <span class="dashboard-muted">尚無建議理由</span>
                                        {% endif %}
                                    </td>
+                                {% elif current_filter == 'pchome_review' %}
+                                    <td>
+                                        {% set review = item.pchome_review %}
+                                        <div class="dashboard-review-card">
+                                            <div class="dashboard-ai-pick-head">
+                                                <span class="dashboard-ai-pick-rank">{{ review.status_label if review else match_status.label }}</span>
+                                                {% if review and review.best_match_score %}
+                                                    <span class="dashboard-ai-pick-confidence is-medium">match {{ (review.best_match_score * 100) | round(0) | int }}%</span>
+                                                {% endif %}
+                                            </div>
+                                            <div class="dashboard-ai-pick-reason">{{ review.action_label if review else decision.summary }}</div>
+                                            {% if review %}
+                                                <div class="dashboard-ai-evidence-line">
+                                                    {% if review.candidate_count %}
+                                                        <span>{{ review.candidate_count }} 筆候選</span>
+                                                    {% endif %}
+                                                    {% if review.candidate_pc_id %}
+                                                        <span>PChome {{ review.candidate_pc_id }}</span>
+                                                    {% endif %}
+                                                    {% if review.attempted_at %}
+                                                        <span>{{ review.attempted_at }}</span>
+                                                    {% endif %}
+                                                </div>
+                                                {% if review.unit_comparison and review.unit_comparison.summary %}
+                                                    <div class="dashboard-review-note momo-mono">{{ review.unit_comparison.summary }}</div>
+                                                {% endif %}
+                                            {% endif %}
+                                        </div>
+                                    </td>
                                {% endif %}
                                <td class="text-end momo-mono">
                                    {% if item.yesterday_diff > 0 %}
@@ -471,7 +542,7 @@
                            </tr>
                        {% else %}
                            <tr>
-                                <td colspan="{{ 10 if current_filter == 'ai_picks' else 9 }}">
+                                <td colspan="{{ 10 if current_filter in ['ai_picks', 'pchome_review'] else 9 }}">
                                    <div class="dashboard-empty">
                                        {% if search_query %}
                                            找不到與「{{ search_query }}」相關的商品
--- a/tests/test_frontend_v2_assets.py
+++ b/tests/test_frontend_v2_assets.py
@@ -130,11 +130,15 @@ def test_dashboard_v2_is_production_default_and_uses_real_dashboard_data():
    assert "warm_full_dashboard_cache" in route_source
    assert "force_rebuild=False" in route_source
    assert "def _load_competitor_decision_overview(session, latest_items=None)" in route_source
+    assert "fetch_competitor_review_queue" in route_source
    assert "_load_competitor_decision_overview(session, unique_items)" in route_source
    assert "item_map = {}" in route_source
    assert "competitor_map = _load_pchome_competitor_map(session, item_map.keys())" in route_source
    assert "ai_price_recommendations" in route_source
    assert "pending_match_count" in route_source
+    assert "review_queue_count" in route_source
+    assert "unit_comparable_count" in route_source
+    assert "filter_type == 'pchome_review'" in route_source
    assert "MockRecord" not in route_source
    assert "{% for item in items %}" in dashboard
    assert "比價監控總覽" in dashboard
@@ -143,8 +147,13 @@ def test_dashboard_v2_is_production_default_and_uses_real_dashboard_data():
    assert "overview.top_picks" in dashboard
    assert "overview.top_momo_threats" in dashboard
    assert "overview.pending_priority" in dashboard
+    assert "overview.review_queue" in dashboard
+    assert "需單位價覆核" in dashboard
    assert "filter='ai_picks'" in dashboard
+    assert "filter='pchome_review'" in dashboard
    assert "AI 挑品清單" in dashboard
+    assert "比價覆核隊列" in dashboard
+    assert "覆核動作" in dashboard
    assert "dashboard-ai-summary-grid" in dashboard
    assert "AI 建議" in dashboard
    assert "/api/export/excel/ai-picks" in dashboard
--- a/web/static/css/page-dashboard-v2.css
+++ b/web/static/css/page-dashboard-v2.css
@@ -285,6 +285,32 @@
        border: 1px solid var(--momo-border-light);
    }

+    .dashboard-focus-chip.is-review {
+        color: var(--momo-warning-text);
+        background: var(--momo-warning-bg);
+        border: 1px solid rgba(161, 111, 35, 0.24);
+    }
+
+    .dashboard-focus-action {
+        display: inline-flex;
+        width: fit-content;
+        align-items: center;
+        margin-top: 12px;
+        padding: 6px 10px;
+        color: var(--momo-text-inverse);
+        background: var(--momo-ink);
+        border: 1px solid var(--momo-ink);
+        border-radius: 4px;
+        font-size: 12px;
+        font-weight: 800;
+        text-decoration: none;
+    }
+
+    .dashboard-focus-action:hover {
+        color: var(--momo-text-inverse);
+        background: var(--momo-ink-soft);
+    }
+
    .dashboard-filter-card {
        padding: 12px 16px;
    }
@@ -464,6 +490,10 @@
        min-width: 1460px;
    }

+    .dashboard-table.is-review {
+        min-width: 1460px;
+    }
+
    .dashboard-table th {
        padding: 11px 14px;
        color: var(--momo-text-tertiary);
@@ -738,6 +768,19 @@
        -webkit-line-clamp: 3;
    }

+    .dashboard-review-card {
+        display: grid;
+        min-width: 190px;
+        gap: 6px;
+    }
+
+    .dashboard-review-note {
+        color: var(--momo-warning-text);
+        font-size: 10px;
+        font-weight: 800;
+        line-height: 1.45;
+    }
+
    .dashboard-history-button {
        display: inline-flex;
        align-items: center;