# -*- coding: utf-8 -*-
"""pms_consensus_stat 单表访问 (2026-09-14 观察读数包, 台账 013)。

三源合议观察读数的落表与回看。**严格单表访问**: 每个函数只碰 pms_consensus_stat 一张表。
落表走 execute_many + ON DUPLICATE KEY UPDATE —— 同一 (北京日期, 代码, 类别) 重复记到时
只把 rounds 加一、刷新 reason/detail/last_at, 不新增行 (一天一票一类一行)。
回看按 (stat_date, kind) 索引取某段日期的行, 供复核脚本与日报聚合。
"""
from __future__ import annotations

from app.db.session import execute_many, fetch_all

# 落表的业务列 (与 ddl_pms_v1.sql 的 pms_consensus_stat 对齐)。
# rounds 不在插入列里 —— 插入时用 DDL 的 DEFAULT 1, 重复时在更新子句里 +1。
_COLS = ("stat_date", "ts_code", "kind", "reason", "detail", "first_at", "last_at")


def upsert_many(rows: list) -> int:
    """批量落观察读数。rows 每项是 {列名: 值}, 至少含 stat_date / ts_code / kind。
    同 (日, 码, 类) 重复即累加次数 (rounds+1), 不新增行。返回受影响行数。"""
    rows = [r for r in (rows or [])
            if r.get("stat_date") and r.get("ts_code") and r.get("kind")]
    if not rows:
        return 0
    payload = [{c: r.get(c) for c in _COLS} for r in rows]
    cols = ", ".join(_COLS)
    vals = ", ".join(f":{c}" for c in _COLS)
    # ON DUPLICATE 子句只用 VALUES(列), **绝不带绑定参数 (:col)** —— 2026-09-11 真机踩过:
    # pymysql 的 executemany 对 INSERT ... ON DUPLICATE 做多行合并, 只展开 VALUES 子句的
    # 占位符, UPDATE 子句里的 :col 不展开却仍算参数, 批量时参数错位报 1064。
    # first_at 有意不进更新子句 —— 首次记到的时刻要保住; rounds 在库里自增, 不从外面传。
    updates = ("reason = VALUES(reason), detail = VALUES(detail), "
               "last_at = VALUES(last_at), rounds = rounds + 1")
    return execute_many(
        f"INSERT INTO pms_consensus_stat ({cols}) VALUES ({vals}) "
        f"ON DUPLICATE KEY UPDATE {updates}", payload)


def list_range(date_from: int, date_to: int, kinds=None) -> list:
    """取 [date_from, date_to] (含两端) 的观察读数行, 升序。kinds 非空时只取这些类别。
    kinds 的 IN 占位符手动展开 (照 tech_repo.history_multi)。"""
    p = {"a": int(date_from), "b": int(date_to)}
    where = "stat_date >= :a AND stat_date <= :b"
    ks = [k for k in (kinds or []) if k]
    if ks:
        keys = []
        for i, k in enumerate(ks):
            keys.append(f":k{i}")
            p[f"k{i}"] = k
        where += f" AND kind IN ({', '.join(keys)})"
    return fetch_all(
        f"SELECT * FROM pms_consensus_stat WHERE {where} "
        f"ORDER BY stat_date ASC, kind ASC, ts_code ASC", p)


def count_by_kind(date_from: int, date_to: int) -> dict:
    """[date_from, date_to] 内按 (日期, 类别) 的计数, 返回 {stat_date: {kind: {rows, rounds}}}。
    rows 是行数 (几只票), rounds 是累计记到的次数 (同一票记了几轮)。"""
    rows = fetch_all(
        "SELECT stat_date, kind, COUNT(*) AS n_rows, SUM(rounds) AS n_rounds "
        "FROM pms_consensus_stat WHERE stat_date >= :a AND stat_date <= :b "
        "GROUP BY stat_date, kind", {"a": int(date_from), "b": int(date_to)})
    out: dict = {}
    for r in rows:
        d = int(r["stat_date"])
        out.setdefault(d, {})[r["kind"]] = {
            "rows": int(r["n_rows"] or 0), "rounds": int(r["n_rounds"] or 0)}
    return out