2021-12-13 16:04:10 +08:00
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import pymongo
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2022-01-26 17:34:59 +08:00
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MG_USER = "root"
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MG_PWD = "sromitdTW569kC#M"
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MG_HOST = "116.63.130.34"
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MG_PORT = "27018"
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CLIENT = pymongo.MongoClient('mongodb://{}:{}@{}:{}'.format(MG_USER, MG_PWD, MG_HOST, MG_PORT))
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2021-12-13 16:04:10 +08:00
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2022-01-26 17:34:59 +08:00
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def FIND_DATA_IN_COMPANY(param1, param2):
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2021-12-13 16:04:10 +08:00
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"""
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2021-12-21 11:06:58 +08:00
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从企业数据库中查询数据
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2021-12-13 16:04:10 +08:00
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Parameters:
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2021-12-21 11:06:58 +08:00
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param1 str 数据表
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param2 dict 查询条件
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2021-12-13 16:04:10 +08:00
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Returns:
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2022-02-14 17:28:52 +08:00
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record: 查询结果
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2021-12-13 16:04:10 +08:00
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"""
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2022-01-26 17:34:59 +08:00
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collection = CLIENT['企业'][param1]
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2021-12-21 11:06:58 +08:00
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data = collection.find(param2, {'_id': False})
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2021-12-17 17:15:20 +08:00
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record = list(data)
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return record
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2022-02-14 17:28:52 +08:00
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def FIND_INDUSTRY_DATA_IN_RATING_INPUT(cid):
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"""
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从评价数据库中查询数据
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Parameters:
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cid str 企业ID
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Returns:
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record: 查询结果
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"""
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collection = CLIENT['评价']['综合评价填报']
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data = collection.find({"企业ID": cid}, {'_id': False, "行业选择": 1, "评价年度": 1})
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record = list(data)
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return record
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def FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS(industry):
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"""
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从宏观行业分析数据库中查询行业宏观分析信息
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Parameters:
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industry: str 行业
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Returns:
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record: 查询结果
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"""
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collection = CLIENT['宏观']['行业宏观分析']
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data = collection.find({"行业": industry}, {'_id': False})
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record = list(data)
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if record:
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return record[0]
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else:
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return False
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