"""cards.csv / devices.csv 加载与跨文件一致性校验。

新设计:CSV 只承载"业务方决策"——
    - cards.csv 只读 iccid + 可选覆盖列(target_shop_code、is_industry)
    - devices.csv 读设备元数据 + sim_iccid_*
    - 卡的运营商、套餐、msisdn、agent_id 等元数据全部从奇成查(见 legacy_query.fetch_card_meta)
"""
from __future__ import annotations

from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional

CARD_HEADERS_REQUIRED = ("iccid_19",)
# 设备列至少包含 imei 或 virtual_no 之一(运行时校验,允许只填一列)
DEVICE_HEADERS_AT_LEAST_ONE = ("imei", "virtual_no")


@dataclass
class CardRow:
    """cards.csv 单行的解析结果(只含业务方决策字段)。

    业务方至少提供 iccid_19 / iccid_20 之一:
        - iccid_19:前 19 位,可作为奇成主表查询键
        - iccid_20:20 位完整 ICCID,固定 20 位运营商只填这一列即可
        - 运营商类型与 iccid_20 的一致性在查完奇成后由 sql_builder 校验
    新系统 iccid 唯一键 = iccid_20 优先,否则 iccid_19。
    """

    line_no: int                # 原始 CSV 行号(从 1 开始,含表头)
    iccid_19: str
    iccid_20: str = ""          # 留空表示 CTCC(查完奇成会再校验)
    allow_iccid_19_lookup: bool = True  # iccid_19 是否为业务方显式提供,可用于奇成主表兜底查询
    is_industry: bool = False   # 默认 False(普通卡)

    # 跨文件校验后填充
    bound_device_virtual_no: str = ""

    @property
    def iccid_full(self) -> str:
        """完整 ICCID:有 iccid_20 用 iccid_20,否则用 iccid_19。"""
        return self.iccid_20 or self.iccid_19


@dataclass
class DeviceRow:
    """devices.csv 单行的解析结果。

    简化为业务方核心关心的列:imei / virtual_no / device_* / max_sim_slots / sim_iccid_*。
    店铺归属由"主卡 sim_iccid_1 的 agent_id → mapping.agents.target_shop_code"推导。
    其他字段(manufacturer 等)直接用默认值,不暴露给业务方。
    """

    line_no: int
    imei: str
    virtual_no: str                 # 留空时用 imei 兜底,见 _load_devices
    sim_iccids: dict[int, str]      # slot → iccid(只保留非空)
    device_name: str = ""
    device_model: str = ""
    device_type: str = ""
    max_sim_slots: int = 1          # 不填时按非空 sim_iccid_* 的最大槽位推导
    current_slot: int = 1           # 默认 slot 1 为当前生效


@dataclass
class ErrorRow:
    """异常行汇总(写入 output/errors.csv)。"""

    source_file: str
    line_no: int
    field: str
    value: str
    error_code: str
    message: str

    def to_csv_row(self) -> list[str]:
        return [self.source_file, str(self.line_no), self.field, self.value, self.error_code, self.message]


@dataclass
class LoadResult:
    cards: list[CardRow] = field(default_factory=list)
    devices: list[DeviceRow] = field(default_factory=list)
    errors: list[ErrorRow] = field(default_factory=list)


# ---------------- 字段清洗 ----------------


def _normalize_cell(raw: str) -> str:
    if raw is None:
        return ""
    s = raw.strip()
    if s.startswith(""):
        s = s[1:]
    if s.startswith("'"):
        s = s[1:]
    s = s.replace(" ", "")
    return s.strip()


def _parse_bool(raw: str) -> Optional[bool]:
    v = _normalize_cell(raw).lower()
    if v == "":
        return False
    if v in ("true", "1", "yes", "y", "t", "是", "行业卡"):
        return True
    if v in ("false", "0", "no", "n", "f", "否", "普通卡"):
        return False
    return None


def _parse_int(raw: str, default: int = 0) -> int:
    v = _normalize_cell(raw)
    if not v:
        return default
    try:
        return int(v)
    except ValueError:
        return default


# ---------------- 主入口 ----------------


def load_assets(resources_dir: Path) -> tuple[list[CardRow], list[DeviceRow], list[ErrorRow]]:
    """读 cards.csv + devices.csv,做格式校验与跨文件一致性校验。

    返回:(合法卡列表, 合法设备列表, 异常行列表)。
    元数据(carrier/agent_id/msisdn 等)由调用方再用 legacy_query 补充。
    """
    result = LoadResult()

    cards_path = resources_dir / "cards.csv"
    if not cards_path.exists():
        raise FileNotFoundError(f"缺少 {cards_path},请按 resources/README.md 准备数据")
    _load_cards(cards_path, result)

    devices_path = resources_dir / "devices.csv"
    if devices_path.exists():
        _load_devices(devices_path, result)

    _cross_check(result)

    return result.cards, result.devices, result.errors


def _load_cards(path: Path, result: LoadResult) -> None:
    import csv

    from . import iccid_utils

    with path.open("r", encoding="utf-8-sig", newline="") as f:
        reader = csv.DictReader(f)
        header = [_normalize_cell(h) for h in (reader.fieldnames or [])]
        missing = [k for k in CARD_HEADERS_REQUIRED if k not in header]
        if missing:
            raise ValueError(f"{path} 缺少必备列: {missing}")
        if "iccid_20" not in header:
            raise ValueError(f"{path} 必须包含 iccid_20 列(20 位运营商卡填写,CTCC 留空)")

        seen_iccid_19: dict[str, int] = {}
        for idx, raw in enumerate(reader, start=2):
            iccid_19 = _normalize_cell(raw.get("iccid_19", ""))
            iccid_20 = _normalize_cell(raw.get("iccid_20", ""))
            allow_iccid_19_lookup = bool(iccid_19)

            if iccid_20 and len(iccid_20) != 20:
                result.errors.append(
                    ErrorRow("cards.csv", idx, "iccid_20", iccid_20, "iccid_20_length",
                             f"iccid_20 必须是 20 位,当前 {len(iccid_20)} 位")
                )
                continue
            if not iccid_19 and iccid_20:
                iccid_19 = iccid_20[:19]

            err = iccid_utils.validate_iccid_19(iccid_19)
            if err is not None:
                result.errors.append(ErrorRow("cards.csv", idx, "iccid_19", iccid_19, err.code, err.message))
                continue

            err = iccid_utils.validate_iccid_20(iccid_20, iccid_19)
            if err is not None:
                result.errors.append(ErrorRow("cards.csv", idx, "iccid_20", iccid_20, err.code, err.message))
                continue

            if iccid_19 in seen_iccid_19:
                result.errors.append(
                    ErrorRow("cards.csv", idx, "iccid_19", iccid_19, "duplicate",
                             f"与第 {seen_iccid_19[iccid_19]} 行 iccid_19 重复")
                )
                continue
            seen_iccid_19[iccid_19] = idx

            is_industry = _parse_bool(raw.get("is_industry", ""))
            if is_industry is None:
                result.errors.append(
                    ErrorRow("cards.csv", idx, "is_industry", raw.get("is_industry", ""), "invalid_bool", "is_industry 必须是 true/false")
                )
                continue

            result.cards.append(
                CardRow(
                    line_no=idx,
                    iccid_19=iccid_19,
                    iccid_20=iccid_20,
                    allow_iccid_19_lookup=allow_iccid_19_lookup,
                    is_industry=is_industry,
                )
            )


def _load_devices(path: Path, result: LoadResult) -> None:
    import csv

    with path.open("r", encoding="utf-8-sig", newline="") as f:
        reader = csv.DictReader(f)
        header = [_normalize_cell(h) for h in (reader.fieldnames or [])]
        if not any(k in header for k in DEVICE_HEADERS_AT_LEAST_ONE):
            raise ValueError(f"{path} 必须至少包含 imei 或 virtual_no 列")

        seen_virtual_no: dict[str, int] = {}
        for idx, raw in enumerate(reader, start=2):
            imei = _normalize_cell(raw.get("imei", ""))
            virtual_no = _normalize_cell(raw.get("virtual_no", ""))
            device_name = _normalize_cell(raw.get("device_name", ""))
            device_model = _normalize_cell(raw.get("device_model", ""))
            device_type = _normalize_cell(raw.get("device_type", ""))
            # virtual_no 留空时用 imei 兜底(业务方说"虚拟号一般会提供,没有就用 imei")
            effective_vno = virtual_no or imei
            if not effective_vno:
                result.errors.append(
                    ErrorRow("devices.csv", idx, "virtual_no", "", "missing_identity",
                             "imei 和 virtual_no 不能同时为空")
                )
                continue
            if effective_vno in seen_virtual_no:
                result.errors.append(
                    ErrorRow("devices.csv", idx, "virtual_no", effective_vno, "duplicate",
                             f"与第 {seen_virtual_no[effective_vno]} 行的设备号重复")
                )
                continue
            seen_virtual_no[effective_vno] = idx

            sim_iccids: dict[int, str] = {}
            for slot in (1, 2, 3, 4):
                v = _normalize_cell(raw.get(f"sim_iccid_{slot}", ""))
                if v:
                    sim_iccids[slot] = v

            max_sim_slots_raw = _normalize_cell(raw.get("max_sim_slots", ""))
            if max_sim_slots_raw:
                try:
                    max_sim_slots = int(max_sim_slots_raw)
                except ValueError:
                    result.errors.append(
                        ErrorRow("devices.csv", idx, "max_sim_slots", max_sim_slots_raw, "invalid",
                                 "最大卡槽数必须是 1-4 的整数")
                    )
                    continue
                if max_sim_slots < 1 or max_sim_slots > 4:
                    result.errors.append(
                        ErrorRow("devices.csv", idx, "max_sim_slots", max_sim_slots_raw, "invalid",
                                 "最大卡槽数必须在 1-4 之间")
                    )
                    continue
            else:
                max_sim_slots = max(sim_iccids.keys(), default=1)

            overflow_slots = [slot for slot in sim_iccids if slot > max_sim_slots]
            if overflow_slots:
                result.errors.append(
                    ErrorRow("devices.csv", idx, "max_sim_slots", str(max_sim_slots), "slot_overflow",
                             f"已填写的卡槽 {max(overflow_slots)} 超出最大卡槽数")
                )
                continue

            result.devices.append(
                DeviceRow(
                    line_no=idx,
                    imei=imei,
                    virtual_no=effective_vno,
                    device_name=device_name,
                    device_model=device_model,
                    device_type=device_type,
                    sim_iccids=sim_iccids,
                    max_sim_slots=max_sim_slots,
                )
            )


def _cross_check(result: LoadResult) -> None:
    """校验设备与卡之间的一致性,并把 bound_device_virtual_no 回填到 CardRow。

    devices.csv 里 sim_iccid_X 业务方可能填 19 位也可能填 20 位,
    统一截取前 19 位回查 cards.iccid_19。
    """
    from . import iccid_utils

    cards_by_iccid_19: dict[str, CardRow] = {c.iccid_19: c for c in result.cards}
    device_card_refs: dict[str, tuple[str, int]] = {}

    for device in result.devices:
        for slot, raw_iccid in device.sim_iccids.items():
            key19 = iccid_utils.prefix_19(raw_iccid)
            if key19 not in cards_by_iccid_19:
                result.errors.append(
                    ErrorRow(
                        "devices.csv", device.line_no, f"sim_iccid_{slot}", raw_iccid,
                        "card_not_found", "引用的 ICCID(前 19 位)在 cards.csv 中不存在",
                    )
                )
                continue
            if key19 in device_card_refs:
                prev_vno, prev_line = device_card_refs[key19]
                result.errors.append(
                    ErrorRow(
                        "devices.csv", device.line_no, f"sim_iccid_{slot}", raw_iccid,
                        "card_used_twice", f"该 ICCID 已被设备 {prev_vno}(第 {prev_line} 行)使用",
                    )
                )
                continue
            device_card_refs[key19] = (device.virtual_no, device.line_no)
            cards_by_iccid_19[key19].bound_device_virtual_no = device.virtual_no
            # 标准化:slot 里的值统一改写为 iccid_19,sql_builder 直接用它查 cards / card_metas
            device.sim_iccids[slot] = key19