94 lines
2.0 KiB
Python
94 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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'''
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脚本说明：基于赔案查询获取的赔案数据进行规则测试
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'''
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#导入模块
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import json
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import pandas
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import os
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import sys
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sys.path.append(os.path.dirname(os.path.dirname(__file__)))
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#导入普康自动化审核决策模型
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from cognition import Cognition
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))))
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from utils.pandas_extension import SaveAsExcel
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print('正在打开文件并抽取数据...', end = '')
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file_paths = []
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#遍历存放赔案数据的文件夹，获取文件路径并添加至文件路径列表
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for directory_path, directory_name, file_names in os.walk('../dataset'):
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for file_name in file_names:
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if file_name != '.DS_Store':
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#构建文件路径
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file_path = os.path.join(directory_path, file_name)
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file_paths.append(file_path)
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#获取最新修改的文件路径
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file_path = max(file_paths, key = os.path.getmtime)
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#读取文件数据
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with open(file_path, 'r', encoding = 'utf-8') as file:
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file_data = json.load(file)
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print('已完成')
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print()
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print('正转化数据...', end = '')
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#用于保存数据
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data = []
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#遍历数据
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for extractions in file_data:
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#实例化普康自动化审核决策模型
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decision = Cognition(extractions = extractions).after_adjustment(insurance = '瑞泰人寿保险有限公司')
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#定义规则结果
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decision_data = {'赔案号': decision.get('赔案号'), '审核结论': decision.get('审核结论'), '自动化:审核结论': decision.get('自动化:审核结论')}
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#平铺规则结果
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for key, value in list(decision.get('规则结果').items()):
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decision_data.update({key: value})
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data.append(decision_data)
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dataset = pandas.DataFrame(data = data)
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dataset['是否正确'] = (dataset['审核结论'] == dataset['自动化:审核结论']).astype(int)
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print('已完成')
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print()
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print('正在将数据保存为EXCEL', end = '')
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SaveAsExcel(worksheets = [['Sheet1', dataset]], file_path = 'evaluation_report.xlsx')
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print('已完成')
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print()
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'''
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修改记录
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''' |