import datetime
import os
import zipfile
from pathlib import Path

from dateutil.relativedelta import relativedelta
from openpyxl import load_workbook
from xls2xlsx import XLS2XLSX

from commons.models.asphalt_modifier import AsphaltModifier
from commons.models.data_network import DataNetwork
from commons.models.fujian_survey import FujianSurvey
from commons.models.fuzhou_highway_bureau import FuzhouHighwayBureau
from commons.models.fuzhou_transportation_bureau import FuzhouTransportationBureau
from commons.models.local_material import LocalMaterial
from commons.models.sanming_steel import SanmingSteel


def unpack(zip_path=r'C:\Users\Administrator\Desktop\材料管理系统模版\造价站近两年价格数据.zip'):
    with zipfile.ZipFile(zip_path, 'r') as zip_ref:
        for file_info in zip_ref.infolist():
            filename = file_info.filename.encode('cp437').decode('gbk')
            is_excel = filename.endswith('.xlsx') or filename.endswith('.xls')
            is_fuzhou = '福州' in filename
            # 地材
            if is_excel and is_fuzhou and '地材汇总/' in filename and '福州市交通工程地方材料价格信息汇总表(数据处理)' not in filename\
                    and '混凝土价格' not in filename:
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./地材-福州-{year}-{int(month):02d}{Path(filename).suffix}'
            # 调查表
            elif is_excel and is_fuzhou and '11地市调查表/' in filename and '福建省' not in filename and '通闽公司' not in filename and '-' not in filename:
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./调查表-福州-{year}-{int(month):02d}{Path(filename).suffix}'
            # 公路局
            elif is_excel and is_fuzhou and '4.福州公路' in filename:
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./公路局-福州-{year}-{int(month):02d}{Path(filename).suffix}'
            # 交通局
            elif is_excel and is_fuzhou and '1.福州交通局' in filename:
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./交通局-福州-{year}-{int(month):02d}{Path(filename).suffix}'
            # 网络价格
            elif is_excel and is_fuzhou and '网络价格（' in filename and '通闽公司' not in filename and '5.福州' not in filename:
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./网络价格-福州-{year}-{int(month):02d}{Path(filename).suffix}'
            # 改性剂
            elif is_excel and '改性剂和沙钢' in filename :
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./改性剂-福州-{year}-{int(month):02d}{Path(filename).suffix}'
            # 三明钢铁
            elif is_excel and '2.三明钢铁' in filename:
                year, month = get_month(filename)
                print(year, month, filename)
                yield zip_ref, file_info, f'./三明钢铁-福州-{year}-{int(month):02d}{Path(filename).suffix}'


def main():
    for zip_ref, file_info, target_file_path in unpack():
        with open(target_file_path, 'wb') as f:
            f.write(zip_ref.read(file_info))
        if target_file_path.endswith('.xls'):
            x2x = XLS2XLSX(target_file_path)
            x2x.to_xlsx(target_file_path.replace('.xls', '.xlsx'))


class Cleaner:
    city = '福州市'

    @classmethod
    def clean_gxj(cls, table=r'E:\Project\material_api\web\scripts\改性剂-福州-2022-12.xlsx'):
        """
        改性剂
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        name = None
        for row in ws.iter_rows(values_only=True):
            for k, cell in enumerate(row):
                if not name and cell == '日期':
                    name = row[k+1]
                if isinstance(cell, datetime.datetime):
                    start = datetime.datetime(int(year), int(month), 1)
                    end = start + relativedelta(months=1)
                    if start <= cell < end:
                        print(year, month, name, cell, row[k+1])
                        yield {
                            'name': name,
                            'spec': '',
                            'price': row[k+1],
                            'date': cell,
                        }

    @classmethod
    def clean_ss(cls, table=r'E:\Project\material_api\web\scripts\三明钢铁-福州-2022-12.xlsx'):
        """
        三明钢铁
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        result = []
        for i, row in enumerate(ws.iter_rows(values_only=True)):
            if isinstance(row[0], str) and ('材料编号' in row[0] or '三明钢铁' in row[0]):
                continue
            material, name, spec, _, _, price, *_ = row
            if not name:
                name = result[-1][3]
            # if not spec:
            #     spec = result[-1][4]
            item = (year, month, material, name, spec, price)
            result.append(item)
            if not item[5]:
                continue
            print(item)
            yield {
                'name': name.replace(' ', '') if name else '',
                'spec': spec.replace(' ', '') if spec else '',
                'material': material,
                'price': price,
                'fluctuating': None,
                'date': datetime.datetime(int(year), int(month), 1),
            }

    @classmethod
    def clean_jtj(cls, table=r'E:\Project\material_api\web\scripts\交通局-福州-2022-12.xlsx'):
        """
        交通局
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        result = []
        for i, row in enumerate(ws.iter_rows(values_only=True)):
            if isinstance(row[0], str) and ('福建' in row[0] or '、' in row[0] or '材料' in row[0] or '电话' in row[0]):
                continue
            if not row[0] and not row[1] and not row[2]:
                continue
            material, name, spec, unit, brand, price, *_ = row
            # if not name:
            #     name = result[-1][3]
            # if not spec:
            #     spec = result[-1][4]
            item = (year, month, material, name, spec, unit, brand, price)
            result.append(item)
            if not item[7] or item[7] == '-':
                continue
            print(item)
            yield {
                'name': name.replace(' ', '') if name else '',
                'spec': spec.replace(' ', '') if spec else '',
                'price': price,
                'date': datetime.datetime(int(year), int(month), 1),
                'material_id': material,
                'unit': unit,
                'brand': brand,
                'region': cls.city.replace('市', ''),
            }

    @classmethod
    def clean_glj(cls, table=r'E:\Project\material_api\web\scripts\公路局-福州-2022-12.xlsx'):
        """
        公路局
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        result = []
        for i, row in enumerate(ws.iter_rows(values_only=True)):
            if isinstance(row[0], str) and ('福建' in row[0] or '、' in row[0] or '材料' in row[0] or '电话' in row[0]
                                            or '附件' in row[0] or '填报' in row[0]):
                continue
            if not row[0] and not row[1] and not row[2]:
                continue
            material, name, spec, unit, brand, price, source, remark, *_ = row
            if not name:
                name = result[-1][3]
            # if not spec:
            #     spec = result[-1][4]
            item = (year, month, material, name, spec, unit, brand, price)
            result.append(item)
            if not item[7] or item[7] == '-':
                continue
            print(item)
            yield {
                'name': name.replace(' ', '') if name else '',
                'spec': spec.replace(' ', '') if spec else '',
                'price': price,
                'date': datetime.datetime(int(year), int(month), 1),
                'material_id': material,
                'unit': unit,
                'brand': brand,
                'region': cls.city.replace('市', ''),
            }

    @classmethod
    def clean_dcb(cls, table=r'E:\Project\material_api\web\scripts\调查表-福州-2022-12.xlsx'):
        """
        调查表
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        result = []
        for i, row in enumerate(ws.iter_rows(values_only=True)):
            print(row)
            if isinstance(row[0], str) and ('福建' in row[0] or '、' in row[0] or '材料' in row[0] or '电话' in row[0]
                                            or '附件' in row[0] or '填报' in row[0]):
                continue
            if not row[0] and not row[1] and not row[2]:
                continue
            material, name, spec, unit, brand, price, price_without_tax, tax, source, remark, *_ = row
            # if not name:
            #     name = result[-1][3]
            # # if not spec:
            # #     spec = result[-1][4]
            item = (year, month, material, name, spec, unit, brand, price)
            result.append(item)
            if not price or price == '-':
                continue
            print(item)
            yield {
                'name': name.replace(' ', '') if name else '',
                'spec': spec.replace(' ', '') if spec else '',
                'price': price,
                'date': datetime.datetime(int(year), int(month), 1),
                'material_id': material,
                'unit': unit,
                'brand': brand,
                'tax': tax,
                'region': cls.city.replace('市', ''),
            }

    @classmethod
    def clean_network(cls, table=r'E:\Project\material_api\web\scripts\网络价格-福州-2022-12.xlsx'):
        """
        网络价格
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        result = []
        for i, row in enumerate(ws.iter_rows(values_only=True)):
            if isinstance(row[0], str) and ('网络' in row[0] or '、' in row[0] or '材料' in row[0] or '电话' in row[0]
                                            or '附件' in row[0] or '填报' in row[0]):
                continue
            if not row[0] and not row[1] and not row[2]:
                continue
            material, name, spec, unit, brand, price, _, remark, source, *_ = row
            # # if not name:
            # #     name = result[-1][3]
            # # # if not spec:
            # # #     spec = result[-1][4]
            item = (year, month, material, name, spec, unit, brand, price, source, remark)
            result.append(item)
            if not item[7] or item[7] == '-':
                continue
            print(item)
            yield {
                'material_id': material,
                'spec': spec.replace(' ', '') if spec else '',
                'unit': unit,
                'brand': brand,
                'name': name.replace(' ', '') if name else '',
                'price': price,
                'source': source,
                'remark': remark,
                'date':  datetime.datetime(int(year), int(month), 1),
                'region': cls.city.replace('市', ''),
            }

    @classmethod
    def clean_local(cls, table=r'E:\Project\material_api\web\scripts\地材-福州-2022-12.xlsx'):
        """
        地材
        """
        wb = load_workbook(file_path)
        ws = wb.active
        _, _, year, month, *_ = file.split('.')[0].split('-')
        result = []
        for i, row in enumerate(ws.iter_rows(values_only=True)):
            if isinstance(row[0], str) and ('汇总表' in row[0] or '、' in row[0] or '材料' in row[0] or '电话' in row[0]
                                            or '附件' in row[0] or '填报' in row[0] or '单位' in row[0] or '序号' in row[0]):
                continue
            if not row[0] and not row[1] and not row[2]:
                continue
            _, county, name, spec, unit, price, price_without_tax, position, remark, *_ = row
            if not county:
                county = result[-1][2]
            if not name:
                name = result[-1][3]
            item = (year, month, county, name, spec, unit, price, price_without_tax, position, remark)
            result.append(item)
            if not price or price in ('-', '∕', '/'):
                continue
            if not price_without_tax or price_without_tax in ('-', '∕', '/'):
                price_without_tax = 0
            print(item)
            yield {
                'name': name.replace(' ', '') if name else '',
                'city': cls.city,
                'county': county,
                'material_id': '',
                'spec': spec.replace(' ', '') if spec else '',
                'unit': unit,
                'price': price,
                'price_without_tax': price_without_tax,
                'date': datetime.datetime(int(year), int(month), 1),
                'position': position,
                'remark': remark,
            }


def get_month(filename):
    if '年信息价/' in filename:
        year = filename.split('年信息价')[0].split('/')[-1]
        month = filename.split('月发布）')[0].split('（')[-1]
        return year, month
    elif '月份地材汇总/' in filename:
        year = filename.split('年地材/')[0].split('/')[-1]
        month = filename.split('月份地材汇总')[0].split('年')[-1]
        return year, month


if __name__ == '__main__':
    from core.factory import ClientApp
    with ClientApp().app_context():
        for root, dirs, files in os.walk(r'E:\Project\material_api\web\scripts'):
            for file in files:
                file_path = os.path.join(root, file)
                if '改性剂' in file and '.xlsx' in file:
                    for item in Cleaner.clean_gxj(file_path):
                        AsphaltModifier(**item).upsert()
                if '三明钢铁' in file and '.xlsx' in file:
                    for item in Cleaner.clean_ss(file_path):
                        SanmingSteel(**item).upsert()
                if '交通局' in file and '.xlsx' in file:
                    for item in Cleaner.clean_jtj(file_path):
                        FuzhouTransportationBureau(**item).upsert()
                if '公路局' in file and '.xlsx' in file:
                    for item in Cleaner.clean_glj(file_path):
                        FuzhouHighwayBureau(**item).upsert()
                if '调查表' in file and '.xlsx' in file:
                    for item in Cleaner.clean_dcb(file_path):
                        FujianSurvey(**item).upsert()
                if '网络价格' in file and '.xlsx' in file:
                    for item in Cleaner.clean_network(file_path):
                        DataNetwork(**item).upsert()
                if '地材' in file and '.xlsx' in file:
                    for item in Cleaner.clean_local(file_path):
                        LocalMaterial(**item).upsert()