#!/usr/bin/env python3
"""Run both reconstructed scanners and cache the shared hourly intermediate.

Usage
-----
::

    # Full DB scan (authoritative reproduction), cache hourly for later offline runs
    python models/scan_all.py --save-hourly

    # Offline rerun from a cached hourly table
    python models/scan_all.py --hourly-csv models/datas/hourly/pks_hourly_full.csv
"""
from __future__ import annotations

import argparse
import sys
from pathlib import Path

sys.path.insert(0, str(Path(__file__).resolve().parents[1]))

from models.common import db, io, paths, queries
from models.generalized import pressure_algorithm
from models.vibration import vibration_algorithm


def main() -> None:
    parser = argparse.ArgumentParser(description="PKS 压力+振动重构扫描器")
    parser.add_argument("--batch", nargs="+", type=int)
    parser.add_argument("--start", default="2025-01-01 00:00:00")
    parser.add_argument("--end", default="2026-09-01 00:00:00")
    parser.add_argument("--chunk-days", type=int, default=14)
    parser.add_argument("--hourly-csv", default=None, help="复用已落盘的小时中间表，不查询数据库")
    parser.add_argument("--save-hourly", action="store_true", help="扫描后将小时中间表写入 models/datas/hourly/pks_hourly_full.csv")
    args = parser.parse_args()

    batch_to_unit = db.load_pks_batches()
    selected = args.batch or sorted(batch_to_unit)
    configs = db.load_alarm_config({batch: batch_to_unit[batch] for batch in selected})

    if args.hourly_csv:
        print(f"复用小时中间表：{args.hourly_csv}")
        rows = queries.load_hourly_csv(Path(args.hourly_csv))
    else:
        start, end = queries.parse_dt(args.start), queries.parse_dt(args.end)
        print(f"只读数据库扫描 {start} .. {end}，批次 {selected}")
        rows = queries.fetch_all_hourly(start, end, args.chunk_days, batch_to_unit, configs, selected)
        if args.save_hourly:
            queries.write_hourly_csv(paths.HOURLY_FULL, rows)
            print(f"小时中间表已缓存：{paths.HOURLY_FULL}")

    io.write_thresholds(paths.COMMON_RESULTS / "报警阈值配置.csv", configs)

    hourly_levels, hour_segments, cycles = pressure_algorithm.run(rows, configs)
    pressure_algorithm.write_results(paths.PRESSURE_RESULTS, hourly_levels, hour_segments, cycles)

    events = vibration_algorithm.run(rows, configs)
    vibration_algorithm.write_results(paths.VIBRATION_RESULTS, events)

    print(f"小时特征：{len(rows):,} 行")
    print(f"润滑油压力小时等级：{len(hourly_levels):,} 行")
    print(f"润滑油压力小时阶段段：{len(hour_segments):,} 段")
    print(f"润滑油压力周期：{len(cycles):,} 个")
    print(f"振动异常段：{len(events):,} 段")


if __name__ == "__main__":
    main()