添加目录和文件

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marslbr 2025-10-29 12:53:39 +08:00
parent 1ac0cde704
commit 70acd5c4d7
3 changed files with 157 additions and 0 deletions

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#指定基础镜像
FROM python:3.11.4
#指定镜像标签
LABEL maintainer="marslbr" \
description="building an interfaces-server based on docker"
#指定时区
RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime \
&& echo "Asia/Shanghai" > /etc/timezone
#指定PIP下载源
RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
#复制依赖列表
COPY ./requirements.txt /requirements.txt
#更新PIP并安装依赖
RUN pip install --upgrade pip \
&& pip install --requirement /requirements.txt
#复制程序
COPY ./scripts /scripts
#指定工作目录
WORKDIR /scripts/
EXPOSE 8000
CMD ["uvicorn", "main:service", "--host", "0.0.0.0"]

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#指定基础镜像
FROM python:3.11.4
#指定镜像标签
LABEL maintainer="marslbr" \
description="building dagster based on docker"
#创建目录
RUN mkdir -p /opt/dagster/dagster_home /opt/dagster/app
#指定时区
RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime \
&& echo "Asia/Shanghai" > /etc/timezone
#指定PIP下载源
RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
#复制依赖列表
COPY ./requirements.txt /requirements.txt
#更新PIP并安装依赖
RUN pip install --upgrade pip \
&& pip install --requirement /requirements.txt
#复制程序
COPY ./scripts /scripts
#指定工作目录
WORKDIR /scripts/
EXPOSE 5102
CMD ["uvicorn", "main:service", "--host", "0.0.0.0"]

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