"""
DeepSeek B：文字询价字段抽取。

本文件职责：定义抽取 tool、解析模型 JSON、可选真网调用。
禁止：本地正则猜港口/箱型；禁止改六态；未确认数据用途不得出站。
"""

from __future__ import annotations

import json
import logging
from typing import Any, Optional

from agent.llm.modes import LlmMode

logger = logging.getLogger(__name__)

MODE = LlmMode.EXTRACT_FIELDS

EXTRACT_TOOL_NAME = "extract_inquiry_fields"

_FIELD_KEYS = (
    "起运港",
    "目的港",
    "品名",
    "件数",
    "货量",
    "毛重",
    "体积",
    "包装方式",
    "报价日期",
    "整柜或拼柜",
    "箱型箱量",
    "车型数量",
)


def mode_meta() -> dict[str, Any]:
    """返回本 mode 元数据。"""
    return {
        "mode": MODE.value,
        "provider": "deepseek",
        "purpose": "text_field_extract",
        "implemented": True,
    }


def extract_tool_definition() -> dict[str, Any]:
    """
    DeepSeek B 唯一抽取 tool。

    模型必须调用本 tool；不得输出给销售看的正文。
    未在原话出现的字段填空串，禁止编造。
    """
    field_props = {k: {"type": "string"} for k in _FIELD_KEYS}
    return {
        "type": "function",
        "function": {
            "name": EXTRACT_TOOL_NAME,
            "description": "从销售原话抽取询价字段，未出现的填空串",
            "parameters": {
                "type": "object",
                "additionalProperties": False,
                "properties": {
                    "transport_mode": {
                        "type": "string",
                        "enum": ["AIR", "SEA", "LAND", "UNKNOWN"],
                    },
                    "land_subtype": {"type": "string"},
                    "fields": {
                        "type": "object",
                        "additionalProperties": False,
                        "properties": field_props,
                    },
                },
                "required": ["transport_mode", "fields"],
            },
        },
    }


def parse_extract_payload(raw: Any) -> dict[str, Any]:
    """
    把模型 tool 参数或 JSON 正文变成 business_line + facts。

    空串字段丢弃。非法结构返回 ok=False，不猜。
    """
    data = raw
    if isinstance(raw, str):
        try:
            data = json.loads(raw)
        except json.JSONDecodeError:
            return {"ok": False, "error": "invalid_json", "facts": {}, "business_line": ""}
    if not isinstance(data, dict):
        return {"ok": False, "error": "not_object", "facts": {}, "business_line": ""}
    mode = str(data.get("transport_mode") or "").strip().upper()
    if mode == "UNKNOWN":
        mode = ""
    fields_in = data.get("fields") if isinstance(data.get("fields"), dict) else {}
    facts: dict[str, str] = {}
    for key in _FIELD_KEYS:
        val = str(fields_in.get(key) or "").strip()
        if val:
            facts[key] = val
    land = str(data.get("land_subtype") or "").strip()
    return {
        "ok": True,
        "business_line": mode if mode in {"AIR", "SEA", "LAND"} else "",
        "land_subtype": land,
        "facts": facts,
        "source": "deepseek_b",
    }


def build_extract_messages(text: str) -> list[dict[str, str]]:
    """B 的系统/用户消息。只抽合同字段，不写销售可见话术。"""
    return [
        {
            "role": "system",
            "content": (
                "你是询价字段抽取器。只根据销售原话抽取字段，调用 extract_inquiry_fields。"
                "未出现的字段必须空串，禁止编造港口、重量、日期。"
                "空运件数/毛重/体积/包装方式；海运货量与箱型箱量；陆运按二级类型。"
                "海运时 15件/20吨/3箱 必须写入货量，不要只写到件数把货量留空。"
                "原话已带单位必须抽取，不要因为没写「毛重：」就留空："
                "10件/3pcs→空运件数；海运同样数字+件也要写入货量；100KGS/180kg/1.5KG/100公斤→毛重；2CBM/4.2cbm/2.5立方/2方→体积；"
                "托盘/散货/卡板/纸箱/木箱→包装方式（销售说什么记什么，散货也要抽）。"
                "9月15日/9月15号/2026-09-15→报价日期，规范成 yyyy-MM-dd，未写年用今年。"
                "「从南京飞吉隆坡」起运港=南京、目的港=吉隆坡；「北京飞吉隆坡」起运港=北京。"
                "换城市必须覆盖旧值，不要沿用上一句的港口。"
                "运输方式仅在原话能判断时填 AIR/SEA/LAND，否则 UNKNOWN。"
            ),
        },
        {"role": "user", "content": text},
    ]


def invoke_shell(*, payload: dict[str, Any]) -> dict[str, Any]:
    """
    无网入口：有 assistant_json / tool_arguments 则解析；否则保持骨架错误码。
    """
    raw = payload.get("assistant_json") or payload.get("tool_arguments")
    if raw is not None:
        parsed = parse_extract_payload(raw)
        parsed["stub"] = True
        parsed["mode"] = MODE.value
        return parsed
    return {
        "ok": False,
        "stub": True,
        "mode": MODE.value,
        "error": "extract_fields_shell_not_implemented",
        "echo_keys": sorted(payload.keys()),
    }


def invoke_extract_fields(
    text: str,
    *,
    allow_network: bool = False,
    chat_fn: Optional[Any] = None,
) -> dict[str, Any]:
    """
    调用 DeepSeek B 抽字段。

    chat_fn：单测注入，签名同 LlmHttpClient.chat。
    allow_network=False 且无 chat_fn：不调外网。
    """
    if chat_fn is None and not allow_network:
        return {"ok": False, "error": "b_network_disabled", "facts": {}, "business_line": ""}
    from agent.llm.http_client import LlmHttpClient
    from agent.llm.modes import LlmMode

    client = LlmHttpClient.from_settings()
    chat = chat_fn or client.chat
    result = chat(
        mode=LlmMode.EXTRACT_FIELDS,
        messages=build_extract_messages(text),
        tools=[extract_tool_definition()],
        tool_choice={"type": "function", "function": {"name": EXTRACT_TOOL_NAME}},
    )
    if not getattr(result, "ok", False):
        logger.info("extract.b 失败 err=%s", getattr(result, "error", ""))
        return {
            "ok": False,
            "error": getattr(result, "error", "b_failed"),
            "facts": {},
            "business_line": "",
        }
    raw_args: Any = None
    for call in result.tool_calls or []:
        fn = call.get("function") or {}
        if fn.get("name") == EXTRACT_TOOL_NAME:
            raw_args = fn.get("arguments")
            break
    if raw_args is None and result.content:
        raw_args = result.content
    parsed = parse_extract_payload(raw_args)
    logger.info(
        "extract.b ok=%s mode=%s keys=%s",
        parsed.get("ok"),
        parsed.get("business_line") or "-",
        sorted((parsed.get("facts") or {}).keys()),
    )
    return parsed