import time import pandas as pd from Board.board_db import FIND_DATA_COUNT, FIND_DATA, UPSERT_DATA, FIND_DATA_FILTER def get_dashboard_data_impl(param): pass def static_dashboard_data_impl(param): def monitor_data(): """ 监测数据 """ data = dict() data['认证企业'] = FIND_DATA_COUNT("TFSE", "用户", "用户信息", {"已认证": "是"}) data['服务次数'] = FIND_DATA_COUNT("TFSE", "评价", "评价记录", {"进行状态": "完成"}) data['留言反馈'] = 0 data['异常日志'] = 0 UPSERT_DATA("ADMIN", "看板", "监测数据", {"看板类型": "监测数据"}, data) def services_static(): """ 服务次数 delta_seconds 统计服务次数的时间范围 start_date_time_stamp 统计起始时间的时间戳 start_date 统计起始日期 """ delta_seconds = 60*60*24*365 start_date_time_stamp = time.time() - delta_seconds start_date = time.strftime("%Y-%m-%d", time.localtime(start_date_time_stamp)) records = FIND_DATA("TFSE", "评价", "评价记录", {"进行状态": "完成", "评价时间": {"$gt": start_date}}) df_rating_times = pd.DataFrame(pd.DataFrame(records)[['评价时间']].value_counts()).sort_index() times_statics_by_date = dict(zip([tuple_date[0] for tuple_date in df_rating_times.index.values.tolist()], df_rating_times[0].tolist())) for item in times_statics_by_date.items(): data = dict() data['日期'] = item[0] data['服务次数'] = item[1] UPSERT_DATA("ADMIN", "看板", "服务统计", {"日期": item[0]}, data) def industry_distribute(): """ 行业分布 """ records = FIND_DATA_FILTER("TFSE", "企业", "公司基本信息", {}, {"工商信息.行业": 1}) df_industry = pd.DataFrame([record['工商信息'] for record in records]) df_industry_count = df_industry['行业'].value_counts() dict_industry = dict(zip(df_industry_count.index.tolist(), df_industry_count.values.tolist())) for item in dict_industry.items(): data = dict() data['行业名称'] = item[0] data['公司数量'] = item[1] UPSERT_DATA("ADMIN", "看板", "行业分布", {"行业名称": item[0]}, data) def new_company_info(): """ 新增企业信息 """ def main_process(): monitor_data() services_static() industry_distribute() return 0 return main_process()