feat: add TaurusX CPM CPC and CPI

fetch_taurusx.py

@@ -91,6 +91,10 @@ def build_dataset(
     for api_row in api_rows:
         campaign_name = str(api_row.get("campaign_name") or "").strip()
         country = str(api_row.get("country") or "").strip().upper()
+        impressions = int(float(api_row.get("impressions") or 0))
+        clicks = int(float(api_row.get("clicks") or 0))
+        conversions = int(float(api_row.get("conversions") or 0))
+        cost = round(float(api_row.get("cost") or 0), 4)
         records.append(
             {
                 "date": str(api_row.get("date") or ""),
@@ -98,14 +102,21 @@ def build_dataset(
                 "campaign_name": campaign_name,
                 "pkg": extract_pkg(campaign_name, country),
                 "country": country,
-                "impressions": int(float(api_row.get("impressions") or 0)),
-                "clicks": int(float(api_row.get("clicks") or 0)),
-                "conversions": int(float(api_row.get("conversions") or 0)),
-                "cost": round(float(api_row.get("cost") or 0), 4),
+                "impressions": impressions,
+                "clicks": clicks,
+                "conversions": conversions,
+                "cost": cost,
+                "cpm": round(cost / impressions * 1000, 6) if impressions else None,
+                "cpc": round(cost / clicks, 6) if clicks else None,
+                "cpi": round(cost / conversions, 6) if conversions else None,
             }
         )
 
     records.sort(key=lambda row: (row["date"], row["cost"], row["clicks"]), reverse=True)
+    total_impressions = sum(row["impressions"] for row in records)
+    total_clicks = sum(row["clicks"] for row in records)
+    total_conversions = sum(row["conversions"] for row in records)
+    total_cost = round(sum(row["cost"] for row in records), 4)
     fetched_at = datetime.now(timezone(timedelta(hours=8))).isoformat(timespec="seconds")
     return {
         "meta": {
@@ -119,10 +130,13 @@ def build_dataset(
             "pkg_country_count": len({(row["pkg"].casefold(), row["country"]) for row in records if row["pkg"]}),
             "countries": len({row["country"] for row in records if row["country"]}),
             "unparsed_pkg_rows": sum(not row["pkg"] for row in records),
-            "impressions": sum(row["impressions"] for row in records),
-            "clicks": sum(row["clicks"] for row in records),
-            "conversions": sum(row["conversions"] for row in records),
-            "cost": round(sum(row["cost"] for row in records), 4),
+            "impressions": total_impressions,
+            "clicks": total_clicks,
+            "conversions": total_conversions,
+            "cost": total_cost,
+            "cpm": round(total_cost / total_impressions * 1000, 6) if total_impressions else None,
+            "cpc": round(total_cost / total_clicks, 6) if total_clicks else None,
+            "cpi": round(total_cost / total_conversions, 6) if total_conversions else None,
         },
         "records": records,
     }

taurusx.html

@@ -142,6 +142,11 @@
     function money(value) {
       return `$${Number(value || 0).toLocaleString('en-US', { minimumFractionDigits: 2, maximumFractionDigits: 2 })}`;
     }
+    function unitCost(value) {
+      return value === null || value === undefined
+        ? '-'
+        : `$${Number(value).toLocaleString('en-US', { minimumFractionDigits: 4, maximumFractionDigits: 4 })}`;
+    }
     function formatTime(value) {
       const date = new Date(value);
       return Number.isNaN(date.getTime()) ? value : date.toLocaleString('zh-CN', { hour12: false });
@@ -170,7 +175,10 @@
         kpi('Impressions', nf.format(meta.impressions), `${nf.format(meta.campaigns)} 个 Campaign`),
         kpi('Clicks', nf.format(meta.clicks), `${nf.format(meta.pkg_country_count)} 个 Pkg_国家`),
         kpi('Conversions', nf.format(meta.conversions), `${nf.format(meta.countries)} 个国家`),
-        kpi('Cost', money(meta.cost), `${nf.format(meta.rows)} 条投放明细`)
+        kpi('Cost', money(meta.cost), `${nf.format(meta.rows)} 条投放明细`),
+        kpi('CPM', unitCost(meta.cpm), 'Cost / Impressions × 1000'),
+        kpi('CPC', unitCost(meta.cpc), 'Cost / Clicks'),
+        kpi('CPI', unitCost(meta.cpi), 'Cost / Conversions')
       );
 
       const panel = el('section', 'panel workspace');
@@ -192,14 +200,15 @@
       [
         ['date-desc','日期：新到旧'], ['cost-desc','Cost：高到低'],
         ['impressions-desc','Impressions：高到低'], ['clicks-desc','Clicks：高到低'],
-        ['conversions-desc','Conversions：高到低'], ['pkg-asc','Pkg：A-Z']
+        ['conversions-desc','Conversions：高到低'], ['cpm-desc','CPM：高到低'],
+        ['cpc-desc','CPC：高到低'], ['cpi-desc','CPI：高到低'], ['pkg-asc','Pkg：A-Z']
       ].forEach(([value, label]) => sort.append(new Option(`排序 · ${label}`, value)));
       const exportButton = el('button', 'button', '导出 TaurusX 数据');
       exportButton.type = 'button'; exportButton.id = 'exportButton';
       filters.append(search, reportDate, country, sort, exportButton);
       header.append(heading, filters);
       panel.append(header, el('div', 'result-meta'), el('div', 'table-wrap'), el('div', 'pagination'));
-      app.append(summary, panel, el('footer', '', 'TaurusX 投放数据 · Impressions、Clicks、Conversions、Cost'));
+      app.append(summary, panel, el('footer', '', 'TaurusX 投放数据 · Impressions、Clicks、Conversions、Cost、CPM、CPC、CPI'));
 
       search.addEventListener('input', resetAndFilter);
       [reportDate, country, sort].forEach(control => control.addEventListener('change', resetAndFilter));
@@ -255,6 +264,9 @@
       setCard(1, nf.format(clicks), `CTR ${impressions ? percent(clicks / impressions) : '-'}`);
       setCard(2, nf.format(conversions), `CVR ${clicks ? percent(conversions / clicks) : '-'}`);
       setCard(3, money(cost), `${nf.format(new Set(state.filtered.map(row => row.country)).size)} 个国家`);
+      setCard(4, unitCost(impressions ? cost / impressions * 1000 : null), 'Cost / Impressions × 1000');
+      setCard(5, unitCost(clicks ? cost / clicks : null), 'Cost / Clicks');
+      setCard(6, unitCost(conversions ? cost / conversions : null), 'Cost / Conversions');
 
       const meta = document.querySelector('.result-meta');
       meta.textContent = '';
@@ -268,12 +280,12 @@
       wrap.textContent = '';
       const table = el('table');
       const thead = el('thead'); const header = el('tr');
-      ['日期', 'Campaign ID', 'Campaign', 'Pkg', '国家', 'Impressions', 'Clicks', 'Conversions', 'Cost']
+      ['日期', 'Campaign ID', 'Campaign', 'Pkg', '国家', 'Impressions', 'Clicks', 'Conversions', 'Cost', 'CPM', 'CPC', 'CPI']
         .forEach(label => header.append(el('th', '', label)));
       thead.append(header); table.append(thead);
       const tbody = el('tbody');
       if (!rows.length) {
-        const cell = el('td', 'empty', '没有符合当前条件的 TaurusX 记录'); cell.colSpan = 9;
+        const cell = el('td', 'empty', '没有符合当前条件的 TaurusX 记录'); cell.colSpan = 12;
         const row = el('tr'); row.append(cell); tbody.append(row);
       }
       rows.forEach(record => {
@@ -288,7 +300,10 @@
           el('td', '', nf.format(record.impressions || 0)),
           el('td', '', nf.format(record.clicks || 0)),
           el('td', '', nf.format(record.conversions || 0)),
-          el('td', '', money(record.cost))
+          el('td', '', money(record.cost)),
+          el('td', '', unitCost(record.cpm)),
+          el('td', '', unitCost(record.cpc)),
+          el('td', '', unitCost(record.cpi))
         );
         tbody.append(row);
       });
@@ -306,10 +321,11 @@
     }
 
     function exportCsv() {
-      const headers = ['日期', 'Campaign ID', 'Campaign', 'Pkg', '国家', 'Impressions', 'Clicks', 'Conversions', 'Cost'];
+      const headers = ['日期', 'Campaign ID', 'Campaign', 'Pkg', '国家', 'Impressions', 'Clicks', 'Conversions', 'Cost', 'CPM', 'CPC', 'CPI'];
       const rows = [headers, ...state.filtered.map(record => [
         record.date, record.campaign_id, record.campaign_name, record.pkg, record.country,
-        record.impressions, record.clicks, record.conversions, record.cost
+        record.impressions, record.clicks, record.conversions, record.cost,
+        record.cpm ?? '', record.cpc ?? '', record.cpi ?? ''
       ])];
       const csv = '\ufeff' + rows.map(row => row.map(value => `"${String(value ?? '').replaceAll('"', '""')}"`).join(',')).join('\n');
       const url = URL.createObjectURL(new Blob([csv], { type: 'text/csv;charset=utf-8' }));