109 lines
2.3 KiB
Python
109 lines
2.3 KiB
Python
import pymongo
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DB_HOST = "116.63.130.34"
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DB_PASS = "UTlC9cCoglD1cI1*"
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DB_USER = "root"
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DB_PORT = "27021"
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client = pymongo.MongoClient('mongodb://{}:{}@{}:{}'.format(DB_USER, DB_PASS, DB_HOST, DB_PORT))
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def find_rating_records(param):
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"""
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查询评价记录
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Parameters:
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param: 查询条件
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Returns:
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record: 查询结果
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"""
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collection = client['企业数据']['评价记录']
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data = collection.find(param, {'_id': False})
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record = list(data)
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return record
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def insert_rating_records(data):
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"""
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插入一条新评价记录
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Parameters:
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data: 新评价记录
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Returns:
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-
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"""
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collection = client['企业数据']['评价记录']
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collection.insert_one(data)
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def find_rating_inputs(param):
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"""
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查询填报信息记录
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Parameters:
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param: 查询条件
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Returns:
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records: 查询结果
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"""
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collection = client['ESG评价数据']['填报数据']
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data = collection.find(param, {'_id': False})
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record = list(data)
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return record
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def insert_general_input(data):
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"""
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插入一条新综合填报
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Parameters:
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data: 新综合填报数据
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Returns:
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-
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"""
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collection = client['ESG评价数据']['填报数据']
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collection.insert_one(data)
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def update_general_input(rid, data):
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"""
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更新综合填报数据
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Parameters:
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rid: 评价ID
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data: 综合填报数据
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Returns:
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res: desc
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"""
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collection = client['ESG评价数据']['填报数据']
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collection.update_one({"评价ID": rid}, {"$set": data})
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def find_risk_data(rid):
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"""
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查找评价所需的风险数据
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"""
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collection = client['ESG评价数据']['风险数据']
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data = collection.find({"评价ID": rid}, {'_id': False})
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record = list(data)
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return record
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def update_rating_records(find, data):
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"""
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更新评价记录
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Parameters:
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find 查询条件
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data 更新数据
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Returns:
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-
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"""
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collection = client['企业数据']['评价记录']
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collection.update_one(find, {"$set": data})
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def insert_process_records(data):
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"""
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插入一条新流程记录
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Parameters:
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data: 流程数据
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Returns:
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-
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"""
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collection = client['ESG评价数据']['评价流程']
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collection.insert_one(data)
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