PredictorProjGPT

介绍

PredictorProjGPT 提示框架能够接受性能测试结果作为输入，并提供包括映射到相应数据帧对象的关键性能指标 (KPI) 的输出。

OpenAI 文档：https://platform.openai.com/docs/libraries/python-library

先决条件

1.OpenAI API密钥
2.OpenAI 包
3. 熊猫包
4. Streamlit 包

安装软件包

1.安装OpenAI软件包

 pip install openai

2.安装熊猫

 pip install pandas

3.安装Streamlit

 pip install streamlit

输出

输入性能测试报告提示

 A performance test was conducted on 24th April 2020 on a Salesforce application. The following observation was 
recorded by a performance tester after conclusion of the test.
Configuration:
1. There are total 40 transactions involved. The wait time between each transaction is 5 seconds.
2. Total Pacing Time is configured as 180 seconds.
    
Summary:
1. Average Response Time for the entire duration of the test was 6.5 seconds.
2. CPU Utilization peaked 75% in the first hour of the steady state.
3. Memory Consumption of 88% was observed at the last hour of the steady state.
4. Entire duration of the test was 5 hours. Endurance Test was performed.
5. Observed 10% error on the entire duration of the test
6. Predict the outcome

最终结果


安装

1. 将存储库克隆到您的项目目录中

 git clone 'enter repository url here'

2. 建立形象

 docker build -t predictor-gpt-app .

2.运行容器

 docker run -it predictor-gpt-app

更新 - 18/03/2024

 1. Recent Changes in OpenAI commands - https://github.com/openai/openai-python

 2. OpenAI secret key is now stored as environment variable