2022-02-17 16:58:39 +08:00
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import time
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2022-03-25 17:08:30 +08:00
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from DBHelper.MongoHelper import MongoHelper
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2022-02-17 16:58:39 +08:00
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2022-02-16 17:03:12 +08:00
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2022-03-25 17:08:30 +08:00
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def get_monitor_data_impl():
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2022-03-29 16:01:29 +08:00
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"""
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监测数据
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"""
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2022-03-25 17:08:30 +08:00
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db = MongoHelper("tfse_v0.21")
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monitor_data = dict()
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2022-02-17 16:58:39 +08:00
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2022-03-25 17:08:30 +08:00
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def log_data_impl():
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monitor_data['异常日志'] = 0
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2022-02-17 16:58:39 +08:00
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2022-03-25 17:08:30 +08:00
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def feedback_data_impl():
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monitor_data['留言反馈'] = 0
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2022-02-18 14:23:50 +08:00
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2022-03-25 17:08:30 +08:00
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def services_data_impl():
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monitor_data['服务次数'] = db.find_all_data_with_count(
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"企业数据",
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"评价记录",
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{"进行状态": "完成"}
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)
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2022-02-18 14:23:50 +08:00
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2022-03-25 17:08:30 +08:00
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def verified_company_impl():
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monitor_data['认证企业'] = db.find_all_data_with_count(
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"应用端",
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"企业用户",
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{"已认证": "是"}
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)
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log_data_impl()
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feedback_data_impl()
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services_data_impl()
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verified_company_impl()
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return monitor_data
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def get_rating_static_impl():
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2022-03-29 16:01:29 +08:00
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"""
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评价统计查询
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"""
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2022-03-25 17:08:30 +08:00
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db = MongoHelper("tfse_v0.21")
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2022-03-28 15:00:12 +08:00
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# 日期正则表达式 20xx-xx-xx格式
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# data_regex = "((((19|20)\d{2})-(0?(1|[3-9])|1[012])-(0?[1-9]|[12]\d|30))|(((19|20)\d{2})-(0?[13578]|1[02])-31)|(((19|20)\d{2})-0?2-(0?[1-9]|1\d|2[0-8]))|((((19|20)([13579][26]|[2468][048]|0[48]))|(2000))-0?2-29))$"
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# 日期匹配结果
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# match_result = re.match(data_regex, start)
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# 若没有匹配到需求格式日期,则默认查询起始日期是30天以前
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# if not match_result:
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# start = time.strftime("%Y-%m-%d", time.localtime(time.time() - 60*60*24*30))
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# 默认查询起始日期是30天以前
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start = time.strftime("%Y-%m-%d", time.localtime(time.time() - 60*60*24*30))
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2022-03-25 17:08:30 +08:00
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records = db.find_data_with_aggregate(
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"企业数据",
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"评价记录",
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[
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2022-03-28 15:00:12 +08:00
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{"$match": {"进行状态": "完成", "评价完成日期": {"$gte": start}}},
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2022-03-25 17:08:30 +08:00
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{"$group": {"_id": "$评价完成日期", "count": {"$sum": 1}}},
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{"$sort": {"_id": 1}}
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]
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)
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2022-03-28 15:00:12 +08:00
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# 聚类统计用的_id字段更名为date
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2022-03-28 15:59:49 +08:00
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result = dict()
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result['日期'] = list()
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result['次数'] = list()
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for data in records:
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result['日期'].append(data['_id'])
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result['次数'].append(data['count'])
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return result
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def get_industry_distribute_impl():
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2022-03-29 16:01:29 +08:00
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"""
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行业分布数据查询
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"""
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2022-03-28 15:59:49 +08:00
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db = MongoHelper("tfse_v0.21")
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records = db.find_data_with_aggregate(
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"应用端",
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"企业用户",
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[
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{"$match": {"已认证": "是"}},
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{"$group": {"_id": "$一级行业", "count": {"$sum": 1}}},
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{"$sort": {"_id": 1}}
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]
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)
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result = list()
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2022-03-25 17:08:30 +08:00
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for data in records:
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2022-03-28 15:59:49 +08:00
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values = list(data.values())
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result.append({values[0]: values[1]})
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return result
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2022-03-28 16:27:37 +08:00
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def get_new_companies_impl(page_size, page_no):
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2022-03-29 16:01:29 +08:00
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"""
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按照注册时间倒序返回新增企业信息
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page_size: 每页数据条数
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page_no: 当前页码
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return: 查询结果
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"""
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2022-03-28 16:27:37 +08:00
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db = MongoHelper("tfse_v0.21")
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records = db.find_data_by_page_with_sort(
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"应用端",
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"企业用户",
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{"已认证": "是"},
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["企业ID", "企业名称", "邮箱", "注册时间"],
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{"注册时间": -1},
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page_size,
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page_no
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)
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2022-03-30 13:56:05 +08:00
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total = db.find_all_data_with_count(
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"应用端",
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"企业用户",
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{"已认证": "是"}
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)
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result = {
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"records": records,
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"total": total
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}
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return result
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