"""
日报生成核心逻辑
"""
import os
import json
from datetime import datetime, timedelta
from openpyxl import Workbook
from openpyxl.styles import Font, Alignment, PatternFill
import pytz

from lib.db import execute_query, execute_insert
from lib.field_mapping import get_field_display_name


# ID字段到名称的映射配置
# key: 订单表中的ID字段名
# value: (关联表名, 关联表ID字段, 关联表名称字段)
ID_TO_NAME_MAPPING = {
    'user_id': ('t_user', 'id', 'user_name'),
    'company_id': ('t_company', 'id', 'company_name'),
    'station_id': ('t_station', 'id', 'station_name'),
    'equipment_id': ('t_equipment', 'id', 'equipment_name'),
    'connector_id': ('t_connector', 'id', 'connector_name'),
}


# 特来电表字段映射到报表字段
# t_hlht_tld 字段 → 报表字段
TELECOM_FIELD_MAPPING = {
    'order_id': 'order_no',           # 订单号
    'station_id': 'station_id',       # 场站ID
    'operator_name': 'station_name',  # 运营商名称 → 场站名称
    'connector_name': 'equipment_name',  # 连接器名称 → 设备名称
    'charge_start_time': 'charge_begin_time',  # 开始充电时间
    'charge_end_time': 'charge_end_time',      # 结束充电时间
    'total_power': 'charge_degree',   # 总电量
    'start_soc': 'charge_begin_soc',  # 开始SOC
    'end_soc': 'charge_end_soc',      # 结束SOC
    'elec_money': 'charge_elecfee_amount',  # 电费
    'service_money': 'charge_service_amount',  # 服务费
    'total_money': 'total_money',     # 总金额
    'sharp_power': 'sharp_electricity',  # 尖时段电量
    'peak_power': 'peak_electricity',    # 峰时段电量
    'flat_power': 'flat_electricity',    # 平时段电量
    'valley_power': 'valley_electricity',  # 谷时段电量
    'vehicle_self_no': 'company_name',   # 车量自编号 → 企业名称
}

# 特来电数据中名称字段到ID字段的映射（用于匹配selected_fields中的ID字段）
TELECOM_NAME_TO_ID_FIELDS = {
    'company_name': 'company_id',
    'station_name': 'station_id',
    'equipment_name': 'equipment_id',
}


def query_telecom_orders(vehicle_self_nos, start_time_str, end_time_str):
    """
    查询特来电平台的订单数据
    
    Args:
        vehicle_self_nos: 车量自编号列表（对应企业名称）
        start_time_str: 开始时间字符串
        end_time_str: 结束时间字符串
    
    Returns:
        list: 转换后的订单数据，字段映射为报表字段
    """
    if not vehicle_self_nos:
        return []
    
    # 构建查询条件
    placeholders = ', '.join(['%s'] * len(vehicle_self_nos))
    sql = f"""
        SELECT 
            order_id,
            station_id,
            operator_name,
            connector_name,
            charge_start_time,
            charge_end_time,
            total_power,
            start_soc,
            end_soc,
            elec_money,
            service_money,
            total_money,
            sharp_power,
            peak_power,
            flat_power,
            valley_power,
            vehicle_self_no
        FROM t_hlht_tld
        WHERE vehicle_self_no IN ({placeholders})
        AND second_source != '驿来特'
        AND charge_end_time >= %s
        AND charge_end_time < %s
        ORDER BY charge_end_time DESC
    """
    
    params = tuple(vehicle_self_nos) + (start_time_str, end_time_str)
    
    try:
        results = execute_query(sql, params)
        print(f"[特来电] 查询到 {len(results)} 条订单")
    except Exception as e:
        print(f"[特来电] 查询失败: {e}")
        return []
    
    # 转换字段名
    converted_orders = []
    for row in results:
        converted = {}
        for telecom_field, report_field in TELECOM_FIELD_MAPPING.items():
            if telecom_field in row:
                converted[report_field] = row[telecom_field]
        
        # 将名称字段复制到对应的ID字段，以便ID转名称逻辑能正确处理
        # 例如：company_name → company_id（值相同），这样 build_id_to_name_map 会查询 t_company 表
        # 但由于值是名称而不是ID，查询会失败，所以我们需要特殊处理
        for name_field, id_field in TELECOM_NAME_TO_ID_FIELDS.items():
            if name_field in converted:
                converted[id_field] = converted[name_field]
        
        # 添加数据来源标记
        converted['data_source'] = '特来电'
        converted_orders.append(converted)
    
    return converted_orders


def build_id_to_name_map(orders, selected_fields):
    """
    构建ID到名称的映射字典
    
    Args:
        orders: 订单数据列表
        selected_fields: 选中的字段列表
    
    Returns:
        dict: {field_name: {id_value: name_value}}
    """
    id_name_maps = {}
    
    for field in selected_fields:
        if field not in ID_TO_NAME_MAPPING:
            continue
        
        table_name, id_field, name_field = ID_TO_NAME_MAPPING[field]
        
        # 收集所有需要查询的ID值
        id_values = set()
        telecom_name_values = {}  # 特来电数据中的名称值（直接使用）
        
        for order in orders:
            val = order.get(field)
            if val is not None and val != '' and val != 0:
                # 检查是否是特来电订单
                if order.get('data_source') == '特来电' and field in TELECOM_NAME_TO_ID_FIELDS.values():
                    # 特来电数据中的ID字段实际是名称，直接使用
                    telecom_name_values[str(val)] = str(val)
                else:
                    id_values.add(str(val))
        
        # 合并特来电的名称映射
        if telecom_name_values:
            id_name_maps[field] = telecom_name_values
            print(f"[ID转换] {field}: 特来电数据直接使用名称 {len(telecom_name_values)} 个")
        
        # 查询驿来特数据的ID映射
        if not id_values:
            continue
        
        # 批量查询名称
        placeholders = ', '.join(['%s'] * len(id_values))
        sql = f"SELECT {id_field} AS id_val, {name_field} AS name_val FROM {table_name} WHERE {id_field} IN ({placeholders})"
        
        try:
            results = execute_query(sql, tuple(id_values))
            if field not in id_name_maps:
                id_name_maps[field] = {}
            id_name_maps[field].update({str(row['id_val']): row['name_val'] for row in results})
            print(f"[ID转换] {field}: 查询到 {len(results)} 个名称映射")
        except Exception as e:
            print(f"[ID转换] {field} 查询失败: {e}")
            if field not in id_name_maps:
                id_name_maps[field] = {}
    
    return id_name_maps


def calculate_time_period_electricity(orders, time_periods_config):
    """
    计算分时段电量
    
    从 t_equipment_charge_order_detail 表查询分时电量数据，
    根据时段配置计算各时段的电量总和。
    
    Args:
        orders: 订单数据列表
        time_periods_config: 时段配置 {sharp: [11,12], peak: [9,10], flat: [7,8], valley: [0,1,2,3]}
    
    Returns:
        dict: {order_no: {sharp_electricity: x, peak_electricity: y, flat_electricity: z, valley_electricity: w}}
    """
    if not time_periods_config or not any(time_periods_config.values()):
        return {}
    
    # 收集所有订单号
    order_nos = [order.get('order_no') for order in orders if order.get('order_no')]
    if not order_nos:
        return {}
    
    # 构建小时到时段的映射
    hour_to_period = {}
    for period_key, hours in time_periods_config.items():
        for hour in hours:
            hour_to_period[hour] = period_key
    
    if not hour_to_period:
        return {}
    
    # 批量查询订单的分时电量
    placeholders = ', '.join(['%s'] * len(order_nos))
    sql = f"""
        SELECT order_no, charge_degree, charge_startr_time, time_flag
        FROM t_equipment_charge_order_detail
        WHERE order_no IN ({placeholders})
        ORDER BY order_no, charge_startr_time
    """
    
    try:
        details = execute_query(sql, tuple(order_nos))
        print(f"[时段电量] 查询到 {len(details)} 条分时记录")
    except Exception as e:
        print(f"[时段电量] 查询失败: {e}")
        return {}
    
    # 按订单号分组计算各时段电量
    result = {}
    for order_no in order_nos:
        result[order_no] = {
            'sharp_electricity': 0.0,
            'peak_electricity': 0.0,
            'flat_electricity': 0.0,
            'valley_electricity': 0.0
        }
    
    for detail in details:
        order_no = detail.get('order_no')
        if order_no not in result:
            continue
        
        charge_degree = float(detail.get('charge_degree', 0) or 0)
        charge_start_time = detail.get('charge_startr_time')
        
        if not charge_start_time:
            continue
        
        # 获取小时数
        if isinstance(charge_start_time, datetime):
            hour = charge_start_time.hour
        elif isinstance(charge_start_time, str):
            try:
                hour = datetime.strptime(str(charge_start_time), '%Y-%m-%d %H:%M:%S').hour
            except:
                continue
        else:
            continue
        
        # 根据小时确定时段
        period_key = hour_to_period.get(hour)
        if period_key and f'{period_key}_electricity' in result[order_no]:
            result[order_no][f'{period_key}_electricity'] += charge_degree
    
    return result


def get_beijing_time():
    """获取北京时间"""
    beijing_tz = pytz.timezone('Asia/Shanghai')
    return datetime.now(beijing_tz)


def generate_daily_report(config_id, start_time=None, end_time=None):
    """
    生成日报
    
    Args:
        config_id: 配置ID
        start_time: 开始时间（可选，默认为昨天8点）
        end_time: 结束时间（可选，默认为今天8点）
    
    Returns:
        dict: 生成结果，包含 success, message, file_path, total_orders, total_amount, sum_results
    """
    try:
        # 获取配置信息
        configs = execute_query(
            'SELECT * FROM t_daily_report_config WHERE id = %s',
            (config_id,)
        )
        
        if not configs:
            return {'success': False, 'message': '配置不存在'}
        
        config = configs[0]
        
        # 解析字段
        selected_fields = json.loads(config['selected_fields'])
        sum_fields = json.loads(config['sum_fields']) if config['sum_fields'] else []
        
        # 设置时间范围
        if not start_time or not end_time:
            now = get_beijing_time()
            end_time = now.replace(hour=8, minute=0, second=0, microsecond=0)
            start_time = end_time - timedelta(days=1)
        
        # 格式化时间
        start_time_str = start_time.strftime('%Y-%m-%d %H:%M:%S')
        end_time_str = end_time.strftime('%Y-%m-%d %H:%M:%S')
        
        print(f"[日报生成] 开始生成日报")
        print(f"  配置ID: {config_id}")
        print(f"  配置名称: {config['config_name']}")
        print(f"  拆分方式: {config['split_type']} = {config['split_value']}")
        print(f"  时间范围: {start_time_str} 至 {end_time_str}")
        print(f"  选择字段: {len(selected_fields)} 个")
        
        # 构建查询SQL - 过滤掉虚拟字段（时段电量等）
        # 虚拟字段不是数据库表中的实际字段，需要动态计算
        TIME_PERIOD_FIELDS = {'sharp_electricity', 'peak_electricity', 'flat_electricity', 'valley_electricity'}
        db_fields = [f for f in selected_fields if f not in TIME_PERIOD_FIELDS]
        
        # 确保至少有 order_no 字段用于关联分时数据
        if 'order_no' not in db_fields:
            db_fields.append('order_no')
        
        fields_str = ', '.join(db_fields)
        
        # 检查是否为多选值（逗号分隔）
        split_values = [v.strip() for v in config['split_value'].split(',') if v.strip()]
        
        if len(split_values) > 1:
            # 多选：使用 IN 查询
            placeholders = ', '.join(['%s'] * len(split_values))
            sql = f"""
                SELECT {fields_str}
                FROM t_equipment_charge_order
                WHERE state = 3
                AND report_time >= %s
                AND report_time < %s
                AND {config['split_type']} IN ({placeholders})
                ORDER BY report_time DESC
            """
            params = [start_time_str, end_time_str] + split_values
        else:
            # 单选：使用 = 查询
            sql = f"""
                SELECT {fields_str}
                FROM t_equipment_charge_order
                WHERE state = 3
                AND report_time >= %s
                AND report_time < %s
                AND {config['split_type']} = %s
                ORDER BY report_time DESC
            """
            params = [start_time_str, end_time_str, config['split_value']]
        
        # 执行查询
        orders = execute_query(sql, tuple(params))
        
        print(f"[日报生成] 驿来特查询到 {len(orders)} 条订单")
        
        # 添加数据来源标记
        for order in orders:
            order['data_source'] = '驿来特'
        
        # 检查是否有补单记录（finish_type = 2 表示补单结束）
        has_supplement = any(order.get('finish_type') == 2 for order in orders)
        if has_supplement:
            print(f"[日报生成] 检测到补单记录，将在文件名中添加标记")
        
        # 检查是否需要合并特来电数据
        merge_telecom = config.get('merge_telecom', 0)
        telecom_vehicle_no = config.get('telecom_vehicle_no', '')
        
        if merge_telecom and config['split_type'] == 'company_id' and telecom_vehicle_no:
            # 解析车量自编号（支持逗号分隔的多个）
            vehicle_nos = [v.strip() for v in telecom_vehicle_no.split(',') if v.strip()]
            if vehicle_nos:
                print(f"[日报生成] 开始合并特来电数据，车量自编号: {vehicle_nos}")
                telecom_orders = query_telecom_orders(vehicle_nos, start_time_str, end_time_str)
                if telecom_orders:
                    # 将特来电数据添加到订单列表
                    orders.extend(telecom_orders)
                    print(f"[日报生成] 合并后总订单数: {len(orders)}")
                    # 检查特来电数据中是否有补单记录
                    if not has_supplement:
                        has_supplement = any(order.get('finish_type') == 2 for order in telecom_orders)
        
        if not orders:
            # 即使没有数据，也保存一条失败记录
            save_report_history(
                report_date=start_time.strftime('%Y-%m-%d'),
                start_time=start_time_str,
                end_time=end_time_str,
                split_type=config['split_type'],
                split_value=config['split_value'],
                split_name=config.get('split_name', config['split_value']),
                config_id=config_id,
                total_orders=0,
                total_amount=0,
                sum_results={},
                file_path='',
                status=0
            )
            return {
                'success': False,
                'message': f'时间范围内没有符合条件的订单数据（查询条件：{start_time_str} 至 {end_time_str}，{config["split_type"]}={config["split_value"]}，state=3）'
            }
        
        # 解析时段配置并计算分时段电量
        time_periods_config = json.loads(config['time_periods']) if config.get('time_periods') else {}
        if time_periods_config and any(time_periods_config.values()):
            print(f"[日报生成] 时段配置: {time_periods_config}")
            time_period_electricity = calculate_time_period_electricity(orders, time_periods_config)
            
            # 将分时段电量添加到订单数据中（仅对驿来特订单，特来电订单已有数据）
            for order in orders:
                # 特来电订单已有尖峰平谷电量数据，不需要重新计算
                if order.get('data_source') == '特来电':
                    continue
                    
                order_no = order.get('order_no')
                if order_no and order_no in time_period_electricity:
                    ep = time_period_electricity[order_no]
                    order['sharp_electricity'] = ep['sharp_electricity']
                    order['peak_electricity'] = ep['peak_electricity']
                    order['flat_electricity'] = ep['flat_electricity']
                    order['valley_electricity'] = ep['valley_electricity']
            
            print(f"[日报生成] 已计算 {len(time_period_electricity)} 条订单的分时段电量")
        
        # 计算求和（保留三位小数）
        sum_results = {}
        for field in sum_fields:
            if field in orders[0]:
                total = sum(float(order.get(field, 0) or 0) for order in orders)
                sum_results[field] = round(total, 3)
        
        # 构建ID到名称的映射
        id_name_maps = build_id_to_name_map(orders, selected_fields)
        
        # 生成Excel文件
        file_path = generate_excel(
            orders=orders,
            selected_fields=selected_fields,
            sum_fields=sum_fields,
            sum_results=sum_results,
            config_name=config['config_name'],
            split_name=config.get('split_name', config['split_value']),
            start_time=start_time_str,
            end_time=end_time_str,
            id_name_maps=id_name_maps,
            field_custom_names=config.get('field_custom_names'),
            has_supplement=has_supplement
        )
        
        print(f"[日报生成] Excel文件已生成: {file_path}")
        
        # 计算总金额
        total_amount = sum(float(order.get('total_money', 0) or 0) for order in orders)
        
        # 保存历史记录
        print(f"[日报生成] 准备保存历史记录，file_path={file_path}")
        history_id = save_report_history(
            report_date=start_time.strftime('%Y-%m-%d'),
            start_time=start_time_str,
            end_time=end_time_str,
            split_type=config['split_type'],
            split_value=config['split_value'],
            split_name=config.get('split_name', config['split_value']),
            config_id=config_id,
            total_orders=len(orders),
            total_amount=total_amount,
            sum_results=sum_results,
            file_path=file_path,
            status=1
        )
        print(f"[日报生成] 历史记录已保存，ID={history_id}")
        
        print(f"[日报生成] ✓ 生成成功")
        print(f"  订单数量: {len(orders)}")
        print(f"  总金额: {total_amount}")
        print(f"  文件路径: {file_path}")
        print(f"  历史记录ID: {history_id}")
        
        return {
            'success': True,
            'message': '日报生成成功',
            'file_path': file_path,
            'total_orders': len(orders),
            'total_amount': total_amount,
            'sum_results': sum_results,
            'history_id': history_id
        }
        
    except Exception as e:
        print(f"[日报生成] ✗ 生成失败: {str(e)}")
        import traceback
        traceback.print_exc()
        
        # 保存失败记录
        try:
            save_report_history(
                report_date=start_time.strftime('%Y-%m-%d') if start_time else datetime.now().strftime('%Y-%m-%d'),
                start_time=start_time_str if 'start_time_str' in locals() else '',
                end_time=end_time_str if 'end_time_str' in locals() else '',
                split_type=config['split_type'] if 'config' in locals() and config else '',
                split_value=config['split_value'] if 'config' in locals() and config else '',
                split_name=config.get('split_name', '') if 'config' in locals() and config else '',
                config_id=config_id,
                total_orders=0,
                total_amount=0,
                sum_results={},
                file_path='',
                status=0
            )
            print(f"[日报生成] 已保存失败记录到历史表")
        except Exception as save_error:
            print(f"[日报生成] 保存失败记录时出错: {str(save_error)}")
        
        return {
            'success': False,
            'message': f'生成日报失败: {str(e)}'
        }


def generate_excel(orders, selected_fields, sum_fields, sum_results, 
                   config_name, split_name, start_time, end_time,
                   id_name_maps=None, field_custom_names=None, has_supplement=False):
    """
    生成Excel文件
    
    Args:
        id_name_maps: ID到名称的映射字典，格式为 {field_name: {id_value: name_value}}
        field_custom_names: 字段自定义名头字典，格式为 {field_key: custom_name}
        has_supplement: 是否有补单记录
    
    Returns:
        str: 文件路径
    """
    if id_name_maps is None:
        id_name_maps = {}
    # 创建reports目录
    reports_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'public', 'reports')
    os.makedirs(reports_dir, exist_ok=True)
    
    # 生成文件名 - 格式：配置名称_几月几日消费记录.xlsx
    # 从 start_time 提取日期（报表数据对应的是开始时间那天的数据）
    try:
        start_dt = datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S')
        date_str = f'{start_dt.month}月{start_dt.day}日'
    except:
        date_str = datetime.now().strftime('%m月%d日')
    
    # 如果有补单，添加标记
    supplement_suffix = '_有补单' if has_supplement else ''
    filename = f'{config_name}_{date_str}消费记录{supplement_suffix}.xlsx'
    file_path = os.path.join(reports_dir, filename)
    
    # 创建工作簿
    wb = Workbook()
    ws = wb.active
    ws.title = '日报'
    
    # 写入标题
    ws.merge_cells(start_row=1, start_column=1, end_row=1, end_column=len(selected_fields))
    title_cell = ws.cell(row=1, column=1)
    title_cell.value = f'{config_name} - {split_name} 日报'
    title_cell.font = Font(size=16, bold=True)
    title_cell.alignment = Alignment(horizontal='center')
    
    # 写入时间范围
    ws.merge_cells(start_row=2, start_column=1, end_row=2, end_column=len(selected_fields))
    time_cell = ws.cell(row=2, column=1)
    time_cell.value = f'统计时间: {start_time} 至 {end_time}'
    time_cell.alignment = Alignment(horizontal='center')
    
    # 写入表头（中文）
    header_row = 4
    field_custom_names = field_custom_names or {}
    for col_idx, field in enumerate(selected_fields, 1):
        cell = ws.cell(row=header_row, column=col_idx)
        # 优先使用自定义名头
        if field in field_custom_names and field_custom_names[field]:
            display_name = field_custom_names[field]
        # 如果是ID字段且有名称映射，表头显示为名称而不是ID
        elif field in id_name_maps and id_name_maps[field]:
            # 将"用户ID"改为"用户"，"企业ID"改为"企业"等
            display_name = get_field_display_name(field).replace('ID', '')
        else:
            display_name = get_field_display_name(field)
        cell.value = display_name
        cell.font = Font(bold=True)
        cell.fill = PatternFill(start_color='D3D3D3', end_color='D3D3D3', fill_type='solid')
        cell.alignment = Alignment(horizontal='center')
    
    # 写入数据
    for row_idx, order in enumerate(orders, header_row + 1):
        for col_idx, field in enumerate(selected_fields, 1):
            cell = ws.cell(row=row_idx, column=col_idx)
            value = order.get(field, '')
            
            # 格式化时间字段
            if field in ['report_time', 'start_time', 'end_time', 'create_time', 'update_time', 'pay_time']:
                if isinstance(value, datetime):
                    value = value.strftime('%Y-%m-%d %H:%M:%S')
            
            # 将ID转换为名称
            if field in id_name_maps and value is not None and value != '':
                name_map = id_name_maps[field]
                name_value = name_map.get(str(value))
                if name_value:
                    value = name_value
            
            cell.value = value
    
    # 写入求和行
    if sum_fields:
        sum_row = header_row + len(orders) + 1
        ws.cell(row=sum_row, column=1).value = '合计'
        ws.cell(row=sum_row, column=1).font = Font(bold=True)
        
        for col_idx, field in enumerate(selected_fields, 1):
            if field in sum_fields and field in sum_results:
                cell = ws.cell(row=sum_row, column=col_idx)
                cell.value = sum_results[field]
                cell.font = Font(bold=True)
                cell.number_format = '0.000'  # 保留三位小数
    
    # 调整列宽
    for col_idx, field in enumerate(selected_fields, 1):
        max_length = len(get_field_display_name(field))
        for row in ws.iter_rows(min_row=header_row + 1, max_row=header_row + len(orders), 
                               min_col=col_idx, max_col=col_idx):
            for cell in row:
                if cell.value:
                    max_length = max(max_length, len(str(cell.value)))
        # 使用 openpyxl 的列字母转换函数
        from openpyxl.utils import get_column_letter
        col_letter = get_column_letter(col_idx)
        ws.column_dimensions[col_letter].width = min(max_length + 2, 50)
    
    # 保存文件
    wb.save(file_path)
    
    # 返回相对路径
    return f'/reports/{filename}'


def save_report_history(report_date, start_time, end_time, split_type, split_value, 
                        split_name, config_id, total_orders, total_amount, 
                        sum_results, file_path, status):
    """
    保存日报生成历史记录
    
    Returns:
        int: 历史记录ID
    """
    # 生成ID
    history_id = int(datetime.now().timestamp() * 1000)
    
    print(f"[保存历史] 准备保存历史记录")
    print(f"  ID: {history_id}")
    print(f"  file_path: '{file_path}'")
    print(f"  status: {status}")
    
    sql = """
        INSERT INTO t_daily_report_history 
        (id, report_date, start_time, end_time, split_type, split_value, split_name, 
         config_id, total_orders, total_amount, sum_results, file_path, status, create_time)
        VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
    """
    
    params = (
        history_id,
        report_date,
        start_time,
        end_time,
        split_type,
        split_value,
        split_name,
        config_id,
        total_orders,
        total_amount,
        json.dumps(sum_results, ensure_ascii=False),
        file_path,
        status
    )
    
    print(f"[保存历史] 执行SQL插入...")
    result = execute_insert(sql, params)
    print(f"[保存历史] 插入完成，返回ID: {result}")
    
    return history_id