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