195 lines
6.9 KiB
Python
195 lines
6.9 KiB
Python
import json
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import random
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from datetime import datetime, timedelta
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from DBHelper.MongoHelperInstance import DB_GUA
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from Modules.Common.CommonUtils import CommonUtils
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class CompanyUtils(object):
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# 生成新的企业ID,如果该ID存在,则重新生成
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@staticmethod
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def make_new_cid():
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new_cid = CommonUtils.random_code(8)
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case = DB_GUA.find_single_column(
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"管理端",
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"企业数据",
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{"企业ID": new_cid},
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"企业ID"
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) is not None
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while case:
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new_cid = CommonUtils.random_code(8)
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return new_cid
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class ExcelParserUtil(object):
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# 转换excel日期
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@staticmethod
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def trans_date_fmt_1(days):
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if type(days) == str: # 特殊情况:比如某些高管信息出生日期只有年份,则返回年份
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return days
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else:
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try:
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delta = timedelta(days=days) # 将1899-12-30转化为可以计算的时间格式并加上要转化的日期戳
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_date = datetime.strptime('1899/12/30', '%Y/%m/%d') + delta
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return datetime.strftime(_date, '%Y年%m月%d日')
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except TypeError:
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return '-'
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# 转换excel日期
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@staticmethod
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def trans_date_fmt_2(days):
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delta = timedelta(days=days)
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# 将1899-12-30转化为可以计算的时间格式并加上要转化的日期戳
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_date = datetime.strptime('1899/12/30', '%Y/%m/%d') + delta
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return datetime.strftime(_date, '%Y-%m-%d')
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# 转换excel日期
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@staticmethod
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def trans_date_fmt_3(_date):
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""""""
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# 删除列表中所有''
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@staticmethod
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def list_remove_blank(_list):
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while '' in _list:
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_list.remove('')
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return _list
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# 列表中的''转换为None
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@staticmethod
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def list_to_none(_list):
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return list(map(lambda x: None if x == '' else x, _list))
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# 列表中的float类型数据都保留2位小数
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@staticmethod
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def list_decimal(_list):
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return list(map(lambda _v: round(_v, 2) if isinstance(_v, float) else _v, _list))
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# 列表中的float类型数据都转为为int类型
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@staticmethod
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def list_to_int(_list):
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return list(map(lambda _v: int(_v) if isinstance(_v, float) else _v, _list))
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class ExcelSheetParser(object):
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def __init__(self, sheet):
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self._sheet = sheet
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# 解析企业信息
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def parse_sheet1(self):
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# 表头
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cols_tag = self._sheet.col_values(1)
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cols_tag.pop(0)
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cols_tag = [x.strip() for x in cols_tag]
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# 表值
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cols_val = self._sheet.col_values(2)
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cols_val.pop(0)
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# 拼接
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data = json.loads(json.dumps(dict(zip(cols_tag, cols_val))))
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return data
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# 解析资产负债表
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def parse_sheet2(self):
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return_data = []
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for i in range(2, 6):
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insert_dict = dict()
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insert_dict['报告期'] = self._sheet.col_values(i)[1]
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current_assets_tag = self._sheet.col_values(1)[3:20]
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current_assets = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[3:20])
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insert_dict['流动资产'] = json.loads(json.dumps(dict(zip(current_assets_tag, current_assets))))
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non_current_assets_tag = self._sheet.col_values(1)[21:39]
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non_current_assets = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[21:39])
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insert_dict['非流动资产'] = json.loads(json.dumps(dict(zip(non_current_assets_tag, non_current_assets))))
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current_liabilitiess_tag = self._sheet.col_values(1)[40:54]
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current_liabilities = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[40:54])
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insert_dict['流动负债'] = json.loads(json.dumps(dict(zip(current_liabilitiess_tag, current_liabilities))))
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non_current_liabilities_tag = self._sheet.col_values(1)[55:68]
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non_current_liabilities = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[55:68])
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insert_dict['非流动负债'] = json.loads(json.dumps(dict(zip(non_current_liabilities_tag, non_current_liabilities))))
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owners_equity_tag = self._sheet.col_values(1)[69:]
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owners_equity = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[69:])
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insert_dict['所有者权益'] = json.loads(json.dumps(dict(zip(owners_equity_tag, owners_equity))))
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return_data.append(insert_dict)
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return return_data
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# 解析利润表
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def parse_sheet3(self):
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cols_tag = list(map(lambda x: x.strip().replace('减:', '').replace('加:', ''), self._sheet.col_values(1)))
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cols_tag = cols_tag[2:]
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return_data = []
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for i in range(2, 6):
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list_0 = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[2:])
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list_1 = ExcelParserUtil.list_decimal(list_0)
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data = json.loads(json.dumps(dict(zip(cols_tag, list_1))))
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data['报告期'] = self._sheet.col_values(i)[1]
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return_data.append(data)
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return return_data
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# 解析补充数据表
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def parse_sheet4(self):
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cols_tag = self._sheet.col_values(1)
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cols_tag = cols_tag[2:]
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return_data = []
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for i in range(2, 6):
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list_0 = ExcelParserUtil.list_to_none(self._sheet.col_values(i)[2:])
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list_1 = ExcelParserUtil.list_decimal(list_0)
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data = json.loads(json.dumps(dict(zip(cols_tag, list_1))))
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data['报告期'] = self._sheet.col_values(i)[1]
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return_data.append(data)
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return return_data
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# 解析担保信息
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def parse_sheet5(self):
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# 表头
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rows_tag = self._sheet.row_values(1)
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rows_tag.pop(0)
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length = len(self._sheet.col_values(1)[2:])
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return_data = []
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for i in range(length):
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row_val = self._sheet.row_values(i+2)
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row_val.pop(0)
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data = json.loads(json.dumps(dict(zip(rows_tag, row_val))))
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return_data.append(data)
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return return_data
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# 解析代偿信息
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def parse_sheet6(self):
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# 表头
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rows_tag = self._sheet.row_values(1)
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rows_tag.pop(0)
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length = len(self._sheet.col_values(1)[2:])
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return_data = []
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for i in range(length):
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row_val = self._sheet.row_values(i + 2)
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row_val.pop(0)
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data = json.loads(json.dumps(dict(zip(rows_tag, row_val))))
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return_data.append(data)
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return return_data
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# 解析银行授信
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def parse_sheet7(self):
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# 表头
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rows_tag = self._sheet.row_values(1)
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rows_tag.pop(0)
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length = len(self._sheet.col_values(1)[2:])
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return_data = []
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for i in range(length):
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row_val = self._sheet.row_values(i + 2)
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row_val.pop(0)
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data = json.loads(json.dumps(dict(zip(rows_tag[:4], row_val[:4]))))
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return_data.append(data)
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return return_data
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