PredictorProjGPT

Introduction

Le cadre d'invite PredictorProjGPT a la capacité d'accepter les résultats des tests de performances comme entrée et de fournir une sortie qui inclut des indicateurs de performance clés (KPI) mappés à leurs objets de trame de données correspondants.

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

Pré-requis

1. Clé API OpenAI
2. Forfaits OpenAI
3. Forfaits Pandas
4. Forfaits rationalisés

Installation des packages

1. Installez les packages OpenAI

 pip install openai

2. Installez Pandas

 pip install pandas

3. Installez Streamlit

 pip install streamlit

Sortir

Invite de rapport de test de performances d'entrée

 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

Résultat final


Installation

1. Clonez le référentiel dans le répertoire de votre projet

 git clone 'enter repository url here'

2. Créer une image

 docker build -t predictor-gpt-app .

2. Exécutez le conteneur

 docker run -it predictor-gpt-app

Mise à jour - 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