feat: add read-only pilot metrics query
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malei
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c0771b34ff
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@ -155,6 +155,8 @@ BUILD_FIRST=1 deploy/release-preflight.sh
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mvn test
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```
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试点期的聚合指标使用只读脚本 `db/queries/pilot_metrics.sql`。脚本默认统计最近 30 天，可在当前数据库 session 覆盖 `@pilot_from/@pilot_to/@pilot_store_id`；输出不包含客户或员工直接标识。只能由只读账号/只读副本执行，完整发布仍以 31 项 production preflight 为数据门禁。
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最小测试基线（P0 稳定化批次）：
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- `SessionTokenServiceTest`：签发/校验/篡改/过期
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- `ReportServiceTest`：appointmentId 必填、重复报告、doing→done
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171
db/queries/pilot_metrics.sql
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171
db/queries/pilot_metrics.sql
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@ -0,0 +1,171 @@
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-- Petstore Pilot Metrics v1（MySQL 5.7+/8.x，只读）
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-- 默认统计最近 30 天；发布/试点负责人可在当前 session 覆盖三个变量后逐段执行。
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-- 输出仅含 store_id、计数、比率和时效，不含客户/员工 PII。
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SET @pilot_to = DATE_ADD(CURRENT_DATE, INTERVAL 1 DAY);
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SET @pilot_from = DATE_SUB(@pilot_to, INTERVAL 30 DAY);
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SET @pilot_store_id = NULL;
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-- 1. 核心服务与报告漏斗。[from, to)，各事实按稳定 aggregate_id 去重。
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SELECT
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e.store_id,
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COUNT(DISTINCT CASE WHEN e.event_type = 'appointment_created' THEN e.aggregate_id END) AS appointment_created_count,
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COUNT(DISTINCT CASE WHEN e.event_type = 'service_started' THEN e.aggregate_id END) AS service_started_count,
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COUNT(DISTINCT CASE WHEN e.event_type = 'service_completed' THEN e.aggregate_id END) AS complete_service_count,
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COUNT(DISTINCT CASE WHEN e.event_type = 'report_submitted' THEN e.aggregate_id END) AS report_submitted_count,
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COUNT(DISTINCT CASE WHEN e.event_type = 'report_sent' THEN e.aggregate_id END) AS report_sent_count,
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COUNT(DISTINCT CASE WHEN e.event_type IN ('report_opened', 'report_reopened') THEN e.aggregate_id END) AS report_opened_count,
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COUNT(DISTINCT CASE WHEN e.event_type = 'lead_submitted' THEN e.aggregate_id END) AS lead_submitted_count,
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COUNT(DISTINCT CASE WHEN e.event_type = 'rebook_created' THEN e.aggregate_id END) AS rebook_created_count,
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ROUND(
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100 * COUNT(DISTINCT CASE WHEN e.event_type = 'service_completed' THEN e.aggregate_id END)
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/ NULLIF(COUNT(DISTINCT CASE WHEN e.event_type = 'service_started' THEN e.aggregate_id END), 0),
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1
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) AS service_completion_rate_pct,
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ROUND(
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100 * COUNT(DISTINCT CASE WHEN e.event_type = 'report_sent' THEN e.aggregate_id END)
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/ NULLIF(COUNT(DISTINCT CASE WHEN e.event_type = 'report_submitted' THEN e.aggregate_id END), 0),
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1
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) AS report_sent_rate_pct,
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ROUND(
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100 * COUNT(DISTINCT CASE WHEN e.event_type IN ('report_opened', 'report_reopened') THEN e.aggregate_id END)
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/ NULLIF(COUNT(DISTINCT CASE WHEN e.event_type = 'report_sent' THEN e.aggregate_id END), 0),
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1
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) AS report_open_rate_pct,
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ROUND(
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100 * COUNT(DISTINCT CASE WHEN e.event_type = 'lead_submitted' THEN e.aggregate_id END)
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/ NULLIF(COUNT(DISTINCT CASE WHEN e.event_type IN ('report_opened', 'report_reopened') THEN e.aggregate_id END), 0),
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1
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) AS opened_to_lead_rate_pct,
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ROUND(
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100 * COUNT(DISTINCT CASE WHEN e.event_type = 'rebook_created' THEN e.aggregate_id END)
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/ NULLIF(COUNT(DISTINCT CASE WHEN e.event_type = 'lead_submitted' THEN e.aggregate_id END), 0),
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1
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) AS lead_to_rebook_rate_pct
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FROM t_business_event e
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WHERE e.occurred_at >= @pilot_from
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AND e.occurred_at < @pilot_to
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AND (@pilot_store_id IS NULL OR e.store_id = @pilot_store_id)
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GROUP BY e.store_id
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ORDER BY e.store_id;
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-- 2. 报告发送时效：提交后 24 小时内是否形成首次显式发送事实。
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SELECT
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submitted.store_id,
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COUNT(*) AS submitted_report_count,
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SUM(CASE
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WHEN sent.occurred_at IS NOT NULL
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AND sent.occurred_at < DATE_ADD(submitted.occurred_at, INTERVAL 24 HOUR)
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THEN 1 ELSE 0
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END) AS sent_within_24h_count,
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ROUND(
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100 * SUM(CASE
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WHEN sent.occurred_at IS NOT NULL
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AND sent.occurred_at < DATE_ADD(submitted.occurred_at, INTERVAL 24 HOUR)
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THEN 1 ELSE 0
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END) / NULLIF(COUNT(*), 0),
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1
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) AS sent_within_24h_rate_pct
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FROM t_business_event submitted
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LEFT JOIN t_business_event sent
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ON sent.store_id = submitted.store_id
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AND sent.event_type = 'report_sent'
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AND sent.aggregate_type = 'report'
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AND sent.aggregate_id = submitted.aggregate_id
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WHERE submitted.event_type = 'report_submitted'
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AND submitted.aggregate_type = 'report'
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AND submitted.occurred_at >= @pilot_from
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AND submitted.occurred_at < @pilot_to
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AND (@pilot_store_id IS NULL OR submitted.store_id = @pilot_store_id)
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GROUP BY submitted.store_id
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ORDER BY submitted.store_id;
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-- 3. 回访执行质量：以任务 due_date 落在窗口内为队列口径；退订不计员工完成。
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SELECT
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t.store_id,
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COUNT(*) AS due_follow_up_count,
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SUM(CASE WHEN t.status = 'completed' THEN 1 ELSE 0 END) AS staff_completed_count,
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SUM(CASE WHEN t.status = 'canceled' AND t.outcome = 'unsubscribed' THEN 1 ELSE 0 END) AS unsubscribed_count,
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SUM(CASE WHEN t.status IN ('pending', 'in_progress') THEN 1 ELSE 0 END) AS still_open_count,
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SUM(CASE
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WHEN t.status IN ('pending', 'in_progress') AND t.due_date < CURRENT_DATE
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THEN 1 ELSE 0
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END) AS overdue_open_count,
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SUM(CASE
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WHEN t.status = 'completed'
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AND t.closed_at < DATE_ADD(t.due_date, INTERVAL 3 DAY)
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THEN 1 ELSE 0
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END) AS completed_by_due_plus_2d_count,
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ROUND(
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100 * SUM(CASE
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WHEN t.status = 'completed'
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AND t.closed_at < DATE_ADD(t.due_date, INTERVAL 3 DAY)
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THEN 1 ELSE 0
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END) / NULLIF(SUM(CASE WHEN t.status = 'completed' THEN 1 ELSE 0 END), 0),
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1
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) AS on_time_completion_rate_pct,
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ROUND(AVG(t.attempt_count), 2) AS average_attempt_count,
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SUM(CASE WHEN t.outcome = 'rebooked' THEN 1 ELSE 0 END) AS rebooked_task_count,
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SUM(CASE WHEN t.outcome = 'not_interested' THEN 1 ELSE 0 END) AS not_interested_count,
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SUM(CASE WHEN t.outcome = 'invalid_contact' THEN 1 ELSE 0 END) AS invalid_contact_count
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FROM t_follow_up_task t
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WHERE t.due_date >= DATE(@pilot_from)
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AND t.due_date < DATE(@pilot_to)
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AND (@pilot_store_id IS NULL OR t.store_id = @pilot_store_id)
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GROUP BY t.store_id
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ORDER BY t.store_id;
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-- 4. 约 200 次完整服务样本闸门：全历史按店 + 最后一行全店合计。
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SELECT
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e.store_id,
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COUNT(DISTINCT e.aggregate_id) AS complete_service_count,
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MIN(e.occurred_at) AS first_complete_service_at,
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MAX(e.occurred_at) AS latest_complete_service_at
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FROM t_business_event e
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WHERE e.event_type = 'service_completed'
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AND e.aggregate_type = 'appointment'
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AND (@pilot_store_id IS NULL OR e.store_id = @pilot_store_id)
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GROUP BY e.store_id WITH ROLLUP;
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-- 5. 指标可靠性反例：三项均须为 0；完整发布还必须通过 31 项 production preflight。
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SELECT COUNT(*) AS completed_services_without_submitted_report_event_count
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FROM t_business_event completed
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LEFT JOIN t_report r
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ON r.appointment_id = completed.aggregate_id
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AND r.store_id = completed.store_id
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AND r.deleted = 0
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LEFT JOIN t_business_event submitted
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ON submitted.store_id = completed.store_id
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AND submitted.event_type = 'report_submitted'
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AND submitted.aggregate_type = 'report'
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AND submitted.aggregate_id = r.id
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WHERE completed.event_type = 'service_completed'
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AND completed.aggregate_type = 'appointment'
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AND (r.id IS NULL OR submitted.id IS NULL)
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AND (@pilot_store_id IS NULL OR completed.store_id = @pilot_store_id);
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SELECT COUNT(*) AS invalid_rebook_attribution_count
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FROM t_follow_up_task t
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LEFT JOIN t_appointment a
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ON a.id = t.rebooked_appointment_id
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AND a.store_id = t.store_id
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AND a.deleted = 0
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LEFT JOIN t_business_event e
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ON e.idempotency_key = CONCAT('rebook_created:', t.rebooked_appointment_id)
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AND e.event_type = 'rebook_created'
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AND e.store_id = t.store_id
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AND e.aggregate_type = 'appointment'
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AND e.aggregate_id = t.rebooked_appointment_id
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WHERE t.outcome = 'rebooked'
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AND (a.id IS NULL OR e.id IS NULL)
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AND (@pilot_store_id IS NULL OR t.store_id = @pilot_store_id);
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SELECT COUNT(*) AS duplicate_open_follow_up_task_count
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FROM (
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SELECT t.store_id, t.source_lead_id
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FROM t_follow_up_task t
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WHERE t.status IN ('pending', 'in_progress')
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AND (@pilot_store_id IS NULL OR t.store_id = @pilot_store_id)
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GROUP BY t.store_id, t.source_lead_id
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HAVING COUNT(*) > 1
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) duplicated;
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@ -0,0 +1,40 @@
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package com.petstore.mapper;
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import org.junit.jupiter.api.Test;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.util.Locale;
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import java.util.regex.Pattern;
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import static org.junit.jupiter.api.Assertions.assertFalse;
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import static org.junit.jupiter.api.Assertions.assertTrue;
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class PilotMetricsQueryContractTest {
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private static final Pattern WRITE_STATEMENT = Pattern.compile(
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"(?m)^\\s*(insert|update|delete|alter|drop|truncate|create|replace|call|grant|revoke)\\b"
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);
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@Test
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void pilotMetricsScriptRemainsReadOnlyAndCarriesFrozenMeasures() throws Exception {
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String sql = Files.readString(Path.of("db/queries/pilot_metrics.sql"));
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String normalized = sql.toLowerCase(Locale.ROOT);
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assertFalse(WRITE_STATEMENT.matcher(normalized).find());
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assertTrue(normalized.contains("complete_service_count"));
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assertTrue(normalized.contains("sent_within_24h_rate_pct"));
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assertTrue(normalized.contains("on_time_completion_rate_pct"));
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assertTrue(normalized.contains("rebook_created"));
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assertTrue(normalized.contains("@pilot_store_id"));
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}
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@Test
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void pilotMetricsOutputDoesNotSelectDirectIdentifiers() throws Exception {
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String sql = Files.readString(Path.of("db/queries/pilot_metrics.sql")).toLowerCase(Locale.ROOT);
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assertFalse(Pattern.compile("select[\\s\\S]{0,300}\\b(phone|openid|unionid|token|client_ip|remark)\\b")
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.matcher(sql)
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.find());
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}
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}
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