PredictorProjGPT
1.0.0
Das PredictorProjGPT-Eingabeaufforderungsframework kann Leistungstestergebnisse als Eingabe akzeptieren und eine Ausgabe bereitstellen, die Key Performance Indicators (KPIs) enthält, die den entsprechenden Datenrahmenobjekten zugeordnet sind.
OpenAI-Dokumentation : https://platform.openai.com/docs/libraries/python-library
1. OpenAI-API-Schlüssel
2. OpenAI-Pakete
3. Pandas-Pakete
4. Streamlit-Pakete
1. Installieren Sie OpenAI-Pakete
pip install openai
2. Pandas installieren
pip install pandas
3. Installieren Sie Streamlit
pip install streamlit
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
1. Klonen Sie das Repository in Ihr Projektverzeichnis
git clone 'enter repository url here'
2. Image erstellen
docker build -t predictor-gpt-app .
2. Führen Sie den Container aus
docker run -it predictor-gpt-app
1. Recent Changes in OpenAI commands - https://github.com/openai/openai-python
2. OpenAI secret key is now stored as environment variable
