-- ClickHouse 数据库初始化脚本
-- 适用服务：data-ana（D6 智能洞察领域）
-- 5 张宽表（ai-allocation §5 强制）：
--   1. student_dashboard_view  学生学情宽表（成绩/班级/知识点维度）
--   2. student_errors          学生错题本
--   3. mastery_snapshot        知识点掌握度历史快照
--   4. ai_usage_log            AI 用量计费记录（ai 服务投递，data-ana 消费）
--   5. attendance_logs         学生考勤记录（core-edu attendance 表 CDC 同步）
--
-- 引擎对齐 02-architecture-design.md §3：ReplacingMergeTree 按 ORDER BY 去重 + version 列保留最新版本
-- 查询规范：所有 SELECT 必须加 FINAL 或使用 argMax 聚合确保去重生效（P0 整改）
--
-- 使用方式（启用 ClickHouse 时执行一次）：
--   clickhouse-client --multiquery < scripts/clickhouse-init.sql
-- 注意：ClickHouse 为可选依赖，未配置时 data-ana 服务进入降级模式（返回骨架数据）。

-- 数据库
CREATE DATABASE IF NOT EXISTS edu_analytics;

-- ===== 1. 学生学情宽表（成绩写入产生一行，按 ORDER BY 去重保留最新版本） =====
CREATE TABLE IF NOT EXISTS edu_analytics.student_dashboard_view (
    student_id         String,
    class_id           String,
    exam_id            String,
    subject_id         String,
    score              Float64,
    rank_in_class      UInt32,
    knowledge_point_id String,
    mastery_level      Float32,            -- 0.0-1.0
    error_count        UInt32,
    last_updated       DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(last_updated)
PARTITION BY toYYYYMM(last_updated)
ORDER BY (student_id, exam_id, knowledge_point_id)
SETTINGS index_granularity = 8192;

-- ===== 2. 学生错题本 =====
CREATE TABLE IF NOT EXISTS edu_analytics.student_errors (
    student_id          String,
    question_id         String,
    knowledge_point_id  String,
    error_count         UInt32,
    last_error_time     DateTime64(3, 'UTC'),
    content             String
) ENGINE = ReplacingMergeTree(last_error_time)
PARTITION BY toYYYYMM(last_error_time)
ORDER BY (student_id, question_id);

-- ===== 3. 掌握度历史快照（每次掌握度计算产生新版本，支持趋势查询） =====
CREATE TABLE IF NOT EXISTS edu_analytics.mastery_snapshot (
    student_id          String,
    knowledge_point_id  String,
    subject_id          String,
    mastery_level       Float32,
    calculated_at       DateTime64(3, 'UTC'),
    calculation_method  LowCardinality(String)   -- 'weighted_moving_avg' / 'simple_avg' / 'forgetting_curve'
) ENGINE = MergeTree
PARTITION BY toYYYYMM(calculated_at)
ORDER BY (student_id, knowledge_point_id, calculated_at);

-- ===== 4. AI 用量计费记录（ai 服务通过 Kafka 事件投递，data-ana 消费落库） =====
CREATE TABLE IF NOT EXISTS edu_analytics.ai_usage_log (
    request_id          String,
    user_id             String,
    provider             LowCardinality(String),  -- 'openai' / 'anthropic' / 'baichuan' / 'local'
    model                LowCardinality(String),
    prompt_tokens        UInt32,
    completion_tokens    UInt32,
    total_tokens         UInt32,
    latency_ms           UInt32,
    success              Boolean,
    cost_cents           UInt32,                  -- 计费（分），便于聚合
    occurred_at          DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(occurred_at)
PARTITION BY toYYYYMM(occurred_at)
ORDER BY (request_id);                            -- 按 request_id 幂等去重

-- ===== 5. 学生考勤记录（core-edu attendance 表 CDC 同步） =====
CREATE TABLE IF NOT EXISTS edu_analytics.attendance_logs (
    student_id          String,
    class_id            String,
    attendance_date     Date,
    status              LowCardinality(String),  -- 'present' / 'absent' / 'late' / 'leave'
    recorded_by         String,                  -- 教师用户 ID
    remark              String DEFAULT '',
    occurred_at         DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(occurred_at)
PARTITION BY toYYYYMM(attendance_date)
ORDER BY (student_id, class_id, attendance_date);