69 lines
2.5 KiB
Python
69 lines
2.5 KiB
Python
from company.db import find_data_in_tfse, conserve_data_to_tfse
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def credit_analysis(param1, param2):
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"""
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存储综合评价分析中信用分析数据
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Parameters:
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param1: 企业ID
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param2: 评价ID
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Returns:
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result: 保存信用分析数据结果
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"""
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# Parameters 查询text_model数据
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data = find_data_in_tfse('评价', '报告数据', {"企业ID": param1, "评价ID": param2})[0]
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# Returns
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result = dict()
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# 经营分析
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def business_analysis():
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describe = data['报告内容'][1]['章节内容'][0]['小节内容'][1]['段落']
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return describe
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# 财务分析
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def financial_analysis():
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if data['行业选择'][0] == '制造业':
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describe = list()
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describe.append(data['报告内容'][3]['章节内容'][0]['小节内容'][1]['段落'])
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describe.append(data['报告内容'][3]['章节内容'][1]['小节内容'][2]['段落'])
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describe = ''.join(describe)
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else:
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describe = data['报告内容'][3]['章节内容'][0]['小节内容'][2]['段落']
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return describe
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# 风险分析
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def risk_analysis():
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risk_01 = data['报告内容'][4]['章节内容'][0]['小节内容'][0]['段落']
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list_01 = risk_01.split('，')
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risk_02 = data['报告内容'][4]['章节内容'][1]['小节内容'][0]['段落']
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list_02 = risk_02.split('，')
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risk_03 = data['报告内容'][4]['章节内容'][2]['小节内容'][0]['段落']
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list_03 = risk_03.split('，')
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describe = list()
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describe.append(list_01[::-1][0])
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describe.append(list_02[::-1][0])
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describe.append(list_03[::-1][0])
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describe = ','.join(describe)
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res = describe.replace('。', '', 2)
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return res
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# 评价意见
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def evaluation_comments():
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describe = list()
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eva_01 = data['报告内容'][5]['章节内容'][0]['小节内容'][0]['段落']
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eva_02 = data['报告内容'][5]['章节内容'][0]['小节内容'][1]['段落']
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eva_03 = data['报告内容'][5]['章节内容'][0]['小节内容'][2]['段落']
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describe.append(eva_01)
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describe.append(eva_02)
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describe.append(eva_03)
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describe = ''.join(describe)
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return describe
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result['信用分析.经营分析'] = business_analysis()
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result['信用分析.财务分析'] = financial_analysis()
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result['信用分析.风险分析'] = risk_analysis()
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result['信用分析.评价意见'] = evaluation_comments()
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return result
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