from fastapi import BackgroundTasks, UploadFile
from utils.response_builder import ResponseBuilder
from config.settings import settings
from typing import Dict, List, Union
from dataclasses import dataclass, field
import time
from datetime import datetime, timedelta
import random
import uuid


@dataclass
class FileRecord:
    """文件记录模型（扩展版）"""
    # 原有字段
    log_id: int
    group_id: int
    file_name: str
    status: int = -5  # -5 表示解析成功
    upload_status_desc: str = "data.wait.confirm.newaccount"
    parsing: bool = True  # True表示正在解析

    # 新增字段 - 账号和主体信息
    primary_enterprise_name: str = ""
    primary_account_no: str = ""
    account_no_list: List[str] = field(default_factory=list)
    enterprise_name_list: List[str] = field(default_factory=list)

    # 新增字段 - 银行和模板信息
    bank_name: str = "ZJRCU"
    real_bank_name: str = "ZJRCU"
    template_name: str = "ZJRCU_T251114"
    data_type_info: List[str] = field(default_factory=lambda: ["CSV", ","])

    # 新增字段 - 文件元数据
    file_size: int = 50000
    download_file_name: str = ""
    file_package_id: str = field(default_factory=lambda: str(uuid.uuid4()).replace('-', ''))

    # 新增字段 - 上传用户信息
    file_upload_by: int = 448
    file_upload_by_user_name: str = "admin@support.com"
    file_upload_time: str = field(default_factory=lambda: datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

    # 新增字段 - 法律实体信息
    le_id: int = 10000
    login_le_id: int = 10000
    log_type: str = "bankstatement"
    log_meta: str = "{\"lostHeader\":[],\"balanceAmount\":\"-1\"}"
    lost_header: List[str] = field(default_factory=list)

    # 新增字段 - 记录统计
    rows: int = 0
    source: str = "http"
    total_records: int = 150
    is_split: int = 0

    # 新增字段 - 交易日期范围
    trx_date_start_id: int = 20240101
    trx_date_end_id: int = 20241231


class FileService:
    """文件上传和解析服务"""

    def __init__(self):
        self.file_records: Dict[int, FileRecord] = {}  # logId -> FileRecord
        self.log_counter = settings.INITIAL_LOG_ID

    def get_file_record(self, log_id: int) -> FileRecord:
        """按 logId 获取已存在的文件记录。"""
        return self.file_records.get(log_id)

    def _infer_bank_name(self, filename: str) -> tuple:
        """根据文件名推断银行名称和模板名称"""
        if "支付宝" in filename or "alipay" in filename.lower():
            return "ALIPAY", "ALIPAY_T220708"
        elif "绍兴银行" in filename or "BSX" in filename:
            return "BSX", "BSX_T240925"
        else:
            return "ZJRCU", "ZJRCU_T251114"

    def _generate_primary_binding(self) -> tuple:
        """生成单一稳定的本方主体/本方账号绑定。"""
        primary_account_no = f"{random.randint(10000000000, 99999999999)}"
        primary_enterprise_name = "测试主体"
        return primary_enterprise_name, primary_account_no

    def _generate_primary_binding_from_rng(self, rng: random.Random) -> tuple:
        """使用局部随机源生成单一稳定的本方主体/本方账号绑定。"""
        primary_account_no = f"{rng.randint(10000000000, 99999999999)}"
        primary_enterprise_name = "测试主体"
        return primary_enterprise_name, primary_account_no

    def _build_primary_binding_lists(
        self, primary_enterprise_name: str, primary_account_no: str
    ) -> dict:
        """基于主绑定事实源构建列表字段。"""
        return {
            "accountNoList": [primary_account_no],
            "enterpriseNameList": [primary_enterprise_name],
        }

    def _create_file_record(
        self,
        *,
        log_id: int,
        group_id: int,
        file_name: str,
        download_file_name: str,
        bank_name: str,
        template_name: str,
        primary_enterprise_name: str,
        primary_account_no: str,
        file_size: int,
        total_records: int,
        trx_date_start_id: int,
        trx_date_end_id: int,
        le_id: int,
        login_le_id: int,
        parsing: bool = True,
        status: int = -5,
    ) -> FileRecord:
        """创建文件记录并写入主绑定信息。"""
        binding_lists = self._build_primary_binding_lists(
            primary_enterprise_name,
            primary_account_no,
        )

        return FileRecord(
            log_id=log_id,
            group_id=group_id,
            file_name=file_name,
            download_file_name=download_file_name,
            bank_name=bank_name,
            real_bank_name=bank_name,
            template_name=template_name,
            primary_enterprise_name=primary_enterprise_name,
            primary_account_no=primary_account_no,
            account_no_list=binding_lists["accountNoList"],
            enterprise_name_list=binding_lists["enterpriseNameList"],
            le_id=le_id,
            login_le_id=login_le_id,
            file_size=file_size,
            total_records=total_records,
            trx_date_start_id=trx_date_start_id,
            trx_date_end_id=trx_date_end_id,
            parsing=parsing,
            status=status,
        )

    async def upload_file(
        self, group_id: int, file: UploadFile, background_tasks: BackgroundTasks
    ) -> Dict:
        """上传文件并启动后台解析任务

        Args:
            group_id: 项目ID
            file: 上传的文件
            background_tasks: FastAPI后台任务

        Returns:
            上传响应字典
        """
        # 生成唯一logId
        self.log_counter += 1
        log_id = self.log_counter

        # 推断银行信息
        bank_name, template_name = self._infer_bank_name(file.filename)

        # 生成合理的交易日期范围
        end_date = datetime.now()
        start_date = end_date - timedelta(days=random.randint(90, 365))
        trx_date_start_id = int(start_date.strftime("%Y%m%d"))
        trx_date_end_id = int(end_date.strftime("%Y%m%d"))

        # 生成单一主绑定
        primary_enterprise_name, primary_account_no = self._generate_primary_binding()

        # 创建完整的文件记录
        file_record = self._create_file_record(
            log_id=log_id,
            group_id=group_id,
            file_name=file.filename,
            download_file_name=file.filename,
            bank_name=bank_name,
            template_name=template_name,
            primary_enterprise_name=primary_enterprise_name,
            primary_account_no=primary_account_no,
            file_size=random.randint(10000, 100000),
            total_records=random.randint(100, 300),
            trx_date_start_id=trx_date_start_id,
            trx_date_end_id=trx_date_end_id,
            le_id=10000 + random.randint(0, 9999),
            login_le_id=10000 + random.randint(0, 9999),
        )

        # 存储记录
        self.file_records[log_id] = file_record

        # 添加后台任务（延迟解析）
        background_tasks.add_task(self._delayed_parse, log_id)

        # 构建响应
        return self._build_upload_response(file_record)

    def _build_upload_response(self, file_record: FileRecord) -> dict:
        """构建上传接口的完整响应"""
        return {
            "code": "200",
            "data": {
                "accountsOfLog": {
                    str(file_record.log_id): [
                        {
                            "bank": file_record.bank_name,
                            "accountName": file_record.primary_enterprise_name,
                            "accountNo": file_record.primary_account_no,
                            "currency": "CNY"
                        }
                    ]
                },
                "uploadLogList": [
                    {
                        **self._build_primary_binding_lists(
                            file_record.primary_enterprise_name,
                            file_record.primary_account_no,
                        ),
                        "bankName": file_record.bank_name,
                        "dataTypeInfo": file_record.data_type_info,
                        "downloadFileName": file_record.download_file_name,
                        "filePackageId": file_record.file_package_id,
                        "fileSize": file_record.file_size,
                        "fileUploadBy": file_record.file_upload_by,
                        "fileUploadByUserName": file_record.file_upload_by_user_name,
                        "fileUploadTime": file_record.file_upload_time,
                        "leId": file_record.le_id,
                        "logId": file_record.log_id,
                        "logMeta": file_record.log_meta,
                        "logType": file_record.log_type,
                        "loginLeId": file_record.login_le_id,
                        "lostHeader": file_record.lost_header,
                        "realBankName": file_record.real_bank_name,
                        "rows": file_record.rows,
                        "source": file_record.source,
                        "status": file_record.status,
                        "templateName": file_record.template_name,
                        "totalRecords": file_record.total_records,
                        "trxDateEndId": file_record.trx_date_end_id,
                        "trxDateStartId": file_record.trx_date_start_id,
                        "uploadFileName": file_record.file_name,
                        "uploadStatusDesc": file_record.upload_status_desc
                    }
                ],
                "uploadStatus": 1
            },
            "status": "200",
            "successResponse": True
        }

    def _delayed_parse(self, log_id: int):
        """后台任务：模拟文件解析过程

        Args:
            log_id: 日志ID
        """
        time.sleep(settings.PARSE_DELAY_SECONDS)

        # 解析完成，更新状态
        if log_id in self.file_records:
            self.file_records[log_id].parsing = False

    def _generate_deterministic_record(
        self, log_id: int, group_id: int, rng: random.Random
    ) -> dict:
        """
        基于 logId 生成确定性的文件记录

        Args:
            log_id: 文件ID（用作随机种子）
            group_id: 项目ID

        Returns:
            文件记录字典（26个字段）
        """
        # 银行类型选项
        bank_options = [
            ("ALIPAY", "ALIPAY_T220708"),
            ("BSX", "BSX_T240925"),
            ("ZJRCU", "ZJRCU_T251114")
        ]

        bank_name, template_name = rng.choice(bank_options)

        # 生成基于种子的稳定时间范围，确保同一 logId 重复查询完全一致
        base_datetime = datetime(2024, 1, 1, 8, 0, 0)
        end_date = base_datetime + timedelta(days=rng.randint(180, 540))
        start_date = end_date - timedelta(days=rng.randint(90, 365))
        file_upload_time = (
            base_datetime
            + timedelta(
                days=rng.randint(0, 540),
                hours=rng.randint(0, 23),
                minutes=rng.randint(0, 59),
                seconds=rng.randint(0, 59),
            )
        )

        # 生成账号和主体
        primary_enterprise_name, primary_account_no = self._generate_primary_binding_from_rng(rng)
        binding_lists = self._build_primary_binding_lists(
            primary_enterprise_name, primary_account_no
        )

        return {
            **binding_lists,
            "bankName": bank_name,
            "dataTypeInfo": ["CSV", ","],
            "downloadFileName": f"测试文件_{log_id}.csv",
            "fileSize": rng.randint(10000, 100000),
            "fileUploadBy": 448,
            "fileUploadByUserName": "admin@support.com",
            "fileUploadTime": file_upload_time.strftime("%Y-%m-%d %H:%M:%S"),
            "isSplit": 0,
            "leId": 10000 + rng.randint(0, 9999),
            "logId": log_id,
            "logMeta": "{\"lostHeader\":[],\"balanceAmount\":\"-1\"}",
            "logType": "bankstatement",
            "loginLeId": 10000 + rng.randint(0, 9999),
            "lostHeader": [],
            "realBankName": bank_name,
            "rows": 0,
            "source": "http",
            "status": -5,
            "templateName": template_name,
            "totalRecords": rng.randint(100, 300),
            "trxDateEndId": int(end_date.strftime("%Y%m%d")),
            "trxDateStartId": int(start_date.strftime("%Y%m%d")),
            "uploadFileName": f"测试文件_{log_id}.pdf",
            "uploadStatusDesc": "data.wait.confirm.newaccount"
        }

    def _build_deterministic_log_detail(self, log_id: int, group_id: int) -> dict:
        """构建 deterministic 回退的单条日志详情。"""
        rng = random.Random(log_id)
        return self._generate_deterministic_record(log_id, group_id, rng)

    def _build_log_detail(self, record: FileRecord) -> dict:
        """构建日志详情对象"""
        return {
            **self._build_primary_binding_lists(
                record.primary_enterprise_name,
                record.primary_account_no,
            ),
            "bankName": record.bank_name,
            "dataTypeInfo": record.data_type_info,
            "downloadFileName": record.download_file_name,
            "fileSize": record.file_size,
            "fileUploadBy": record.file_upload_by,
            "fileUploadByUserName": record.file_upload_by_user_name,
            "fileUploadTime": record.file_upload_time,
            "isSplit": record.is_split,
            "leId": record.le_id,
            "logId": record.log_id,
            "logMeta": record.log_meta,
            "logType": record.log_type,
            "loginLeId": record.login_le_id,
            "lostHeader": record.lost_header,
            "realBankName": record.real_bank_name,
            "rows": record.rows,
            "source": record.source,
            "status": record.status,
            "templateName": record.template_name,
            "totalRecords": record.total_records,
            "trxDateEndId": record.trx_date_end_id,
            "trxDateStartId": record.trx_date_start_id,
            "uploadFileName": record.file_name,
            "uploadStatusDesc": record.upload_status_desc
        }

    def check_parse_status(self, group_id: int, inprogress_list: str) -> Dict:
        """检查文件解析状态

        Args:
            group_id: 项目ID
            inprogress_list: 文件ID列表（逗号分隔）

        Returns:
            解析状态响应字典
        """
        # 解析logId列表
        log_ids = [int(x.strip()) for x in inprogress_list.split(",") if x.strip()]

        pending_list = []
        all_parsing_complete = True

        for log_id in log_ids:
            if log_id in self.file_records:
                record = self.file_records[log_id]
                if record.parsing:
                    all_parsing_complete = False

                pending_list.append(self._build_log_detail(record))

        return {
            "code": "200",
            "data": {
                "parsing": not all_parsing_complete,
                "pendingList": pending_list
            },
            "status": "200",
            "successResponse": True
        }

    def get_upload_status(self, group_id: int, log_id: int = None) -> dict:
        """
        获取文件上传状态（基于 logId 生成确定性数据）

        Args:
            group_id: 项目ID
            log_id: 文件ID（可选）

        Returns:
            上传状态响应字典
        """
        logs = []

        if log_id is not None:
            if log_id in self.file_records:
                log_detail = self._build_log_detail(self.file_records[log_id])
            else:
                log_detail = self._build_deterministic_log_detail(log_id, group_id)

            logs.append(log_detail)

        # 返回响应
        return {
            "code": "200",
            "data": {
                "logs": logs,
                "status": "",
                "accountId": 8954,
                "currency": "CNY"
            },
            "status": "200",
            "successResponse": True
        }

    def delete_files(self, group_id: int, log_ids: List[int], user_id: int) -> Dict:
        """删除文件

        Args:
            group_id: 项目ID
            log_ids: 文件ID列表
            user_id: 用户ID

        Returns:
            删除响应字典
        """
        # 删除文件记录
        deleted_count = 0
        for log_id in log_ids:
            if log_id in self.file_records:
                del self.file_records[log_id]
                deleted_count += 1

        return {
            "code": "200 OK",  # 注意：这里是 "200 OK" 不是 "200"
            "data": {
                "message": "delete.files.success"
            },
            "message": "delete.files.success",
            "status": "200",
            "successResponse": True
        }

    def fetch_inner_flow(self, request: Union[Dict, object]) -> Dict:
        """拉取行内流水（创建并保存绑定记录）

        Args:
            request: 拉取流水请求（可以是字典或对象）

        Returns:
            流水响应字典，包含创建并保存的logId数组
        """
        # 支持 dict 或对象
        if isinstance(request, dict):
            group_id = request.get("groupId", 1000)
            customer_no = request.get("customerNo", "")
            data_start_date_id = request.get("dataStartDateId", 20240101)
            data_end_date_id = request.get("dataEndDateId", 20241231)
        else:
            group_id = request.groupId
            customer_no = request.customerNo
            data_start_date_id = request.dataStartDateId
            data_end_date_id = request.dataEndDateId

        # 使用递增 logId，确保与上传链路一致
        self.log_counter += 1
        log_id = self.log_counter

        primary_enterprise_name, primary_account_no = self._generate_primary_binding()
        file_record = self._create_file_record(
            log_id=log_id,
            group_id=group_id,
            file_name=f"{customer_no or 'inner_flow'}_{log_id}.csv",
            download_file_name=f"{customer_no or 'inner_flow'}_{log_id}.csv",
            bank_name="ZJRCU",
            template_name="ZJRCU_T251114",
            primary_enterprise_name=primary_enterprise_name,
            primary_account_no=primary_account_no,
            file_size=random.randint(10000, 100000),
            total_records=random.randint(100, 300),
            trx_date_start_id=data_start_date_id,
            trx_date_end_id=data_end_date_id,
            le_id=10000 + random.randint(0, 9999),
            login_le_id=10000 + random.randint(0, 9999),
            parsing=False,
        )

        self.file_records[log_id] = file_record

        # 返回成功的响应，包含logId数组
        return {
            "code": "200",
            "data": [log_id],
            "status": "200",
            "successResponse": True,
        }