新增邮件群发和数据可视化

mail-worker/src/dao/analysis-dao.js

@@ -0,0 +1,104 @@
+const analysisDao = {
+	async numberCount(c) {
+		const { results } = await c.env.db.prepare(`
+            SELECT
+                e.receiveTotal,
+                e.sendTotal,
+                e.delReceiveTotal,
+                e.delSendTotal,
+                e.normalReceiveTotal,
+                e.normalSendTotal,
+                u.userTotal,
+                u.normalUserTotal,
+                u.delUserTotal,
+                a.accountTotal,
+                a.normalAccountTotal,
+                a.delAccountTotal
+            FROM
+                (
+                    SELECT
+                        SUM(CASE WHEN type = 0 THEN 1 ELSE 0 END) AS receiveTotal,
+                        SUM(CASE WHEN type = 1 THEN 1 ELSE 0 END) AS sendTotal,
+                        SUM(CASE WHEN type = 0 AND is_del = 1 THEN 1 ELSE 0 END) AS delReceiveTotal,
+                        SUM(CASE WHEN type = 1 AND is_del = 1 THEN 1 ELSE 0 END) AS delSendTotal,
+                        SUM(CASE WHEN type = 0 AND is_del = 0 THEN 1 ELSE 0 END) AS normalReceiveTotal,
+                        SUM(CASE WHEN type = 1 AND is_del = 0 THEN 1 ELSE 0 END) AS normalSendTotal
+                    FROM
+                        email
+                ) e
+            CROSS JOIN (
+                SELECT
+                    COUNT(*) AS userTotal,
+                    SUM(CASE WHEN is_del = 1 THEN 1 ELSE 0 END) AS delUserTotal,
+                    SUM(CASE WHEN is_del = 0 THEN 1 ELSE 0 END) AS normalUserTotal
+                FROM
+                    user
+            ) u
+            CROSS JOIN (
+                SELECT
+                    COUNT(*) AS accountTotal,
+                    SUM(CASE WHEN is_del = 1 THEN 1 ELSE 0 END) AS delAccountTotal,
+                    SUM(CASE WHEN is_del = 0 THEN 1 ELSE 0 END) AS normalAccountTotal
+                FROM
+                    account
+            ) a
+        `).all();
+		return results[0];
+	},
+
+	async userDayCount(c) {
+		const { results } = await c.env.db.prepare(`
+            SELECT
+                DATE(create_time,'+8 hours') AS date,
+                COUNT(*) AS total
+            FROM
+                user
+            WHERE
+                DATE(create_time,'+8 hours') BETWEEN DATE('now', '-14 days', '+8 hours') AND DATE('now','-1 day','+8 hours')
+            GROUP BY
+                DATE(create_time,'+8 hours')
+            ORDER BY
+                date ASC
+        `).all();
+		return results;
+	},
+
+	async receiveDayCount(c) {
+		const { results } = await c.env.db.prepare(`
+            SELECT
+                DATE(create_time,'+8 hours') AS date,
+                COUNT(*) AS total
+            FROM
+                email
+            WHERE
+			  				DATE(create_time,'+8 hours') BETWEEN DATE('now', '-14 days', '+8 hours') AND DATE('now','-1 day','+8 hours')
+                AND type = 0
+            GROUP BY
+                DATE(create_time,'+8 hours')
+            ORDER BY
+                date ASC
+        `).all();
+		return results;
+	},
+
+	async sendDayCount(c) {
+		const { results } = await c.env.db.prepare(`
+            SELECT
+                DATE(create_time,'+8 hours') AS date,
+                COUNT(*) AS total
+            FROM
+                email
+            WHERE
+			  				DATE(create_time,'+8 hours') BETWEEN DATE('now', '-14 days', '+8 hours') AND DATE('now','-1 day','+8 hours')
+                AND type = 1
+            GROUP BY
+                DATE(create_time,'+8 hours')
+            ORDER BY
+                date ASC
+        `).all();
+		return results;
+	}
+
+};
+
+export default analysisDao;