企业主页模块 头部信息 变更至v0.21版本
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@ -1,10 +1,10 @@
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import pymongo
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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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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_DATA_IN_COMPANY(param1, param2):
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@ -51,3 +51,38 @@ def FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS(industry):
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return record[0]
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else:
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return False
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def FIND_SINGLE_DATA_BY_REQ(param1, param2, param3, param4):
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"""
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查询符合条件的第一条数据
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Parameters:
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param1: str 数据库
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param2: str 数据表
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param3: dict 查询条件
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param4: list 查询字段
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Returns:
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record: 查询结果为空,返回False; 查询结果正常,返回查询结果的第一条数据;
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"""
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collection = CLIENT[param1][param2]
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columns = {**{'_id': False}, **dict(zip(param4, [1] * len(param4)))}
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record = list(collection.find(param3, columns))
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return False if record == [] else record[0]
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def FIND_SINGLE_DATA_BY_REQ_WITH_SORT(param1, param2, param3, param4, param5):
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"""
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查询符合条件的第一条数据
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Parameters:
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param1: str 数据库
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param2: str 数据表
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param3: dict 查询条件
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param4: list 查询字段
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param5: dict 排序条件 例如 {"name": 1} 表示按照name字段正序返回
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Returns:
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record: 查询结果为空,返回False; 查询结果正常,返回查询结果的第一条数据;
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"""
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collection = CLIENT[param1][param2]
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columns = {**{'_id': False}, **dict(zip(param4, [1] * len(param4)))}
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record = list(collection.find(param3, columns).sort(list(param5.keys())[0], list(param5.values())[0]).limit(1))
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return False if record == [] else record[0]
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@ -2,8 +2,9 @@ import json
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import pandas as pd
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from company.company_db import FIND_DATA_IN_COMPANY, FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS
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from company.company_utils import sub_dict, judge_industry
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from company.company_db import FIND_DATA_IN_COMPANY, FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS, \
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FIND_SINGLE_DATA_BY_REQ_WITH_SORT, FIND_SINGLE_DATA_BY_REQ
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from company.company_utils import judge_industry
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def find_company_data_scripts(table, cid):
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@ -11,20 +12,23 @@ def find_company_data_scripts(table, cid):
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def get_head_info_impl(cid):
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data = FIND_DATA_IN_COMPANY('综合评价分析', {"企业ID": cid})
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if data:
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return sub_dict(data[0], ['企业名称', '综合信用等级'])
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else:
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company = FIND_DATA_IN_COMPANY('公司基本信息', {"企业ID": cid})[0]
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result = {
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"企业名称": company['企业名称'],
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"综合信用等级": {
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"评价时间": "N/A",
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"信用等级": "N/A",
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"信用评分": "N/A"
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},
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# company_info: 企业信息
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company_info = FIND_SINGLE_DATA_BY_REQ("应用端", "企业用户", {"企业ID": cid}, ["企业名称", "已认证"])
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# cc_rating: 最近一期综信评价结果
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cc_rating = FIND_SINGLE_DATA_BY_REQ_WITH_SORT("综信评价数据", "评价结果", {"企业ID": cid}, ["信用评分", "信用等级", "评价时间"], {"评价年度": -1})
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# esg_rating: 最近一期ESG评价结果
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esg_rating = FIND_SINGLE_DATA_BY_REQ_WITH_SORT("ESG评价数据", "评价结果", {"企业ID": cid}, ["ESG得分", "评价等级", "评价时间"], {"评价年度": -1})
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# head_info: 公司主要头部信息
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head_info = {
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"企业名称": company_info['企业名称'],
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"企业认证": "已认证" if company_info['已认证'] == "是" else "未认证",
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"综合信用评价": cc_rating if cc_rating else {"信用等级": "N/A", "信用评分": "N/A", "评价时间": "N/A"},
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"ESG评价": esg_rating if esg_rating else {"信用等级": "N/A", "信用评分": "N/A", "评价时间": "N/A"}
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}
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return result
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return head_info
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def find_financial_index_detail_scripts(table, cid):
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