-- data-ana 模块 Mock 数据脚本
-- 用途：本地开发/集成测试时为 5 张宽表插入演示数据，验证查询逻辑
-- 使用方式（需先执行 clickhouse-init.sql）：
--   clickhouse-client --multiquery < scripts/data-ana-mock-data.sql
--
-- 数据规模：2 班 × 10 学生 × 3 知识点 × 2 考试 = 120 行 student_dashboard_view
--          20 条错题 / 60 条掌握度快照 / 20 条考勤 / 10 条 AI 用量
-- 所有时间戳使用 now() - N days 模式，避免硬编码绝对日期导致脚本过期

USE edu_analytics;

-- ===== 1. student_dashboard_view：学情宽表 =====
-- 班级 C001（高一 1 班）+ C002（高一 2 班），每班 10 学生
-- 2 次考试（EXAM001 数学月考 / EXAM002 数学期中），3 个数学知识点
INSERT INTO student_dashboard_view
SELECT
    'S' || toString(number + 1)               AS student_id,           -- S001..S020
    IF(number < 10, 'C001', 'C002')           AS class_id,             -- 前 10 在 C001，后 10 在 C002
    'EXAM001'                                  AS exam_id,
    'SUBJ_MATH'                                AS subject_id,
    40 + (number % 60)                         AS score,                -- 40-99 分
    (number % 10) + 1                          AS rank_in_class,        -- 1-10 名
    'KP_MATH_' || toString((number % 3) + 1)  AS knowledge_point_id,   -- KP_MATH_1/2/3
    0.3 + ((number % 70) / 100.0)              AS mastery_level,        -- 0.30-0.99
    (number % 5)                               AS error_count,          -- 0-4 错题
    now() - INTERVAL 7 DAY                     AS last_updated
FROM numbers(20);

-- 第二次考试（EXAM002），成绩略升
INSERT INTO student_dashboard_view
SELECT
    'S' || toString(number + 1)               AS student_id,
    IF(number < 10, 'C001', 'C002')           AS class_id,
    'EXAM002'                                  AS exam_id,
    'SUBJ_MATH'                                AS subject_id,
    50 + (number % 50)                         AS score,                -- 50-99 分
    (number % 10) + 1                          AS rank_in_class,
    'KP_MATH_' || toString((number % 3) + 1)  AS knowledge_point_id,
    0.4 + ((number % 60) / 100.0)              AS mastery_level,
    (number % 4)                               AS error_count,
    now() - INTERVAL 1 DAY                     AS last_updated
FROM numbers(20);

-- ===== 2. student_errors：错题本 =====
INSERT INTO student_errors
SELECT
    'S' || toString((number % 20) + 1)        AS student_id,
    'Q_' || toString(number + 1)              AS question_id,
    'KP_MATH_' || toString((number % 3) + 1) AS knowledge_point_id,
    (number % 5) + 1                          AS error_count,
    now() - INTERVAL (number % 30) DAY        AS last_error_time,
    '错误类型：' || multiIf(
        number % 3 = 0, '计算失误',
        number % 3 = 1, '公式记忆错误',
        '审题不清'
    )                                          AS content
FROM numbers(20);

-- ===== 3. mastery_snapshot：掌握度历史快照（3 次计算，便于趋势查询） =====
INSERT INTO mastery_snapshot
SELECT
    'S' || toString((number % 20) + 1)        AS student_id,
    'KP_MATH_' || toString((number % 3) + 1) AS knowledge_point_id,
    'SUBJ_MATH'                                AS subject_id,
    0.3 + ((number % 70) / 100.0)              AS mastery_level,
    now() - INTERVAL 30 DAY                    AS calculated_at,
    'weighted_moving_avg'                      AS calculation_method
FROM numbers(20);

INSERT INTO mastery_snapshot
SELECT
    'S' || toString((number % 20) + 1)        AS student_id,
    'KP_MATH_' || toString((number % 3) + 1) AS knowledge_point_id,
    'SUBJ_MATH'                                AS subject_id,
    0.4 + ((number % 60) / 100.0)              AS mastery_level,
    now() - INTERVAL 15 DAY                    AS calculated_at,
    'weighted_moving_avg'                      AS calculation_method
FROM numbers(20);

INSERT INTO mastery_snapshot
SELECT
    'S' || toString((number % 20) + 1)        AS student_id,
    'KP_MATH_' || toString((number % 3) + 1) AS knowledge_point_id,
    'SUBJ_MATH'                                AS subject_id,
    0.5 + ((number % 50) / 100.0)              AS mastery_level,
    now()                                      AS calculated_at,
    'weighted_moving_avg'                      AS calculation_method
FROM numbers(20);

-- ===== 4. attendance_logs：考勤记录（近 5 天，含缺勤/迟到） =====
INSERT INTO attendance_logs
SELECT
    'S' || toString((number % 20) + 1)        AS student_id,
    IF(number % 20 < 10, 'C001', 'C002')      AS class_id,
    today() - (number % 5)                     AS attendance_date,
    multiIf(
        number % 10 = 0, 'absent',             -- 10% 缺勤
        number % 5 = 0, 'late',               -- 20% 迟到
        'present'                               -- 其余正常
    )                                          AS status,
    'T001'                                     AS recorded_by,
    multiIf(number % 10 = 0, '病假', '')       AS remark,
    now() - INTERVAL (number % 5) DAY          AS occurred_at
FROM numbers(20);

-- ===== 5. ai_usage_log：AI 用量计费（模拟 3 个 provider） =====
INSERT INTO ai_usage_log
SELECT
    'REQ_' || toString(number + 1)             AS request_id,
    'S' || toString((number % 20) + 1)        AS user_id,
    arrayElement(['openai', 'anthropic', 'baichuan'], (number % 3) + 1) AS provider,
    arrayElement(['gpt-4o-mini', 'claude-3-haiku', 'baichuan2-turbo'], (number % 3) + 1) AS model,
    100 + (number % 200)                       AS prompt_tokens,        -- 100-299
    50 + (number % 150)                        AS completion_tokens,    -- 50-199
    150 + (number % 350)                       AS total_tokens,         -- 150-499
    500 + (number % 2000)                      AS latency_ms,           -- 500-2499 ms
    number % 5 != 0                            AS success,              -- 80% 成功
    (number % 50) + 1                          AS cost_cents,           -- 1-50 分
    now() - INTERVAL (number % 24) HOUR        AS occurred_at
FROM numbers(20);

-- ===== 校验查询（可选执行） =====
SELECT 'student_dashboard_view' AS table_name, count() AS cnt FROM student_dashboard_view FINAL
UNION ALL
SELECT 'student_errors', count() FROM student_errors FINAL
UNION ALL
SELECT 'mastery_snapshot', count() FROM mastery_snapshot
UNION ALL
SELECT 'attendance_logs', count() FROM attendance_logs FINAL
UNION ALL
SELECT 'ai_usage_log', count() FROM ai_usage_log FINAL;