"""SQLite 连接与幂等初始化（职称评审核验助手）。

业务表 2 张：
- threshold_rules（评审门槛库，可编辑）
- verify_cases（核验案例，只读，核验自动写入）

表间禁止 SQLite 外键，仅存业务 id（见 references/SCHEMA.md）。
"""

from __future__ import annotations

import sqlite3

from db.display_metadata import (
    init_display_metadata,
    seed_column_metadata_batch,
    upsert_table_metadata,
)
from db.seed_data import seed_all
from db.timestamp_columns import init_updated_at_trigger
from util.runtime_paths import get_db_path


def get_conn() -> sqlite3.Connection:
    return sqlite3.connect(get_db_path())


_THRESHOLD_RULES_DDL = """
CREATE TABLE IF NOT EXISTS threshold_rules (
    id          INTEGER PRIMARY KEY AUTOINCREMENT,
    rank        TEXT NOT NULL,
    metric_key  TEXT NOT NULL,
    metric_name TEXT NOT NULL,
    min_value   REAL NOT NULL,
    unit        TEXT,
    basis_doc   TEXT,
    clause      TEXT,
    created_at  INTEGER NOT NULL DEFAULT (unixepoch()),
    updated_at  INTEGER NOT NULL DEFAULT (unixepoch()),
    UNIQUE (rank, metric_key)
)
"""

_VERIFY_CASES_DDL = """
CREATE TABLE IF NOT EXISTS verify_cases (
    id           INTEGER PRIMARY KEY AUTOINCREMENT,
    batch_no     TEXT NOT NULL,
    teacher_name TEXT,
    department   TEXT,
    apply_rank   TEXT,
    metrics_json TEXT,
    verdict      TEXT NOT NULL,
    matrix_json  TEXT,
    report_file  TEXT,
    created_at   INTEGER NOT NULL DEFAULT (unixepoch())
)
"""

_VERIFY_CASES_INDEX = """
CREATE INDEX IF NOT EXISTS idx_verify_cases_batch
ON verify_cases(batch_no)
"""

_TS_COLUMN_NAMES = {"created_at", "updated_at"}


def _col(column_name: str, display_name: str, description: str, **extra: object) -> dict[str, object]:
    base: dict[str, object] = {
        "column_name": column_name,
        "display_name": display_name,
        "description": description,
        "visible": 1,
        "searchable": 0,
        "editable": 0,
    }
    base.update(extra)
    if column_name in _TS_COLUMN_NAMES:
        base["display_type"] = "datetime_unix_seconds"
    return base


_THRESHOLD_RULES_COLUMNS: tuple[dict[str, object], ...] = (
    _col("id", "编号", "主键", searchable=1),
    _col("rank", "申报级别", "副教授 / 教授。", searchable=1),
    _col("metric_key", "指标键", "指标唯一键（presiding_provincial 等）。", searchable=1),
    _col("metric_name", "指标名称", "如 主持省部级项目。", searchable=1, editable=1),
    _col("min_value", "最低要求", "刚性门槛数值。", searchable=1, editable=1, display_type="number"),
    _col("unit", "单位", "项/篇/课时/年 等。", editable=1),
    _col("basis_doc", "依据文件", "如《专业技术职务评聘办法》。", searchable=1, editable=1),
    _col("clause", "条款", "门槛出处条款号。", editable=1),
    _col("created_at", "创建时间", "记录创建时间（Unix 秒级，自动生成）。"),
    _col("updated_at", "更新时间", "记录最后更新时间（Unix 秒级，自动维护）。"),
)

_VERIFY_CASES_COLUMNS: tuple[dict[str, object], ...] = (
    _col("id", "案例编号", "主键，核验记录编号。", searchable=1),
    _col("batch_no", "核验批次号", "同一次核验请求的批次号。", searchable=1),
    _col("teacher_name", "教师姓名", "被核验教师。", searchable=1),
    _col("department", "所属学院", "教师所属学院。", searchable=1),
    _col("apply_rank", "申报级别", "副教授 / 教授。", searchable=1),
    _col("metrics_json", "申报指标", "教师实有指标（JSON，默认隐藏）。", visible=0, display_type="textarea"),
    _col(
        "verdict",
        "核验结论",
        "安全（形式审查通过）/ 边缘（建议补充）/ 硬伤（暂缓提交）。",
        searchable=1,
        options_json='[{"value":"安全","label":"🟢 安全"},{"value":"边缘","label":"🟡 边缘"},{"value":"硬伤","label":"🔴 硬伤"}]',
    ),
    _col("matrix_json", "达标矩阵", "逐项达标矩阵（JSON）。", visible=0, display_type="textarea"),
    _col("report_file", "报告文件", "《核验报告》HTML 文件路径。", visible=0),
    _col("created_at", "创建时间", "记录创建时间（Unix 秒级，自动生成）。"),
)


def _init_threshold_rules_metadata(cursor) -> None:
    cursor.execute(_THRESHOLD_RULES_DDL)
    init_updated_at_trigger(cursor, "threshold_rules")
    upsert_table_metadata(
        cursor,
        table_name="threshold_rules",
        display_name="评审门槛库",
        description="各级别职称申报的刚性门槛（数值须以人事处最新文件为准）。",
        grid_help="按 申报级别+指标键 唯一；行内可编辑最低要求与依据条款。",
        visible=1,
        readonly=0,
    )
    seed_column_metadata_batch(
        cursor,
        table_name="threshold_rules",
        columns=_THRESHOLD_RULES_COLUMNS,
        valid_column_names=[str(c["column_name"]) for c in _THRESHOLD_RULES_COLUMNS],
    )


def _init_verify_cases_metadata(cursor) -> None:
    cursor.execute(_VERIFY_CASES_DDL)
    cursor.execute(_VERIFY_CASES_INDEX)
    upsert_table_metadata(
        cursor,
        table_name="verify_cases",
        display_name="核验案例",
        description="每次核验的达标矩阵与三色结论；可重建《核验报告》。",
        grid_help="🔴硬伤=存在不达门槛项；🟡边缘=达标但余量不足10%；🟢安全=全部超标准10%以上。",
        visible=1,
        readonly=1,
        default_sort_json='[{"column":"id","direction":"desc"}]',
        default_visible_columns_json='["id","teacher_name","department","apply_rank","verdict","created_at"]',
    )
    seed_column_metadata_batch(
        cursor,
        table_name="verify_cases",
        columns=_VERIFY_CASES_COLUMNS,
        valid_column_names=[str(c["column_name"]) for c in _VERIFY_CASES_COLUMNS],
    )


def init_db() -> dict[str, int]:
    """幂等创建/迁移本地 SQLite、数据管理元数据与门槛种子。"""
    conn = get_conn()
    try:
        cur = conn.cursor()
        init_display_metadata(cur)
        _init_threshold_rules_metadata(cur)
        _init_verify_cases_metadata(cur)
        seeded = seed_all(cur)
        conn.commit()
        return seeded
    finally:
        conn.close()