PredictorProjGPT
1.0.0
Платформа подсказок PredictorProjGPT имеет возможность принимать результаты тестов производительности в качестве входных данных и предоставлять выходные данные, включающие ключевые показатели эффективности (KPI), сопоставленные с соответствующими объектами фрейма данных.
Документация OpenAI : https://platform.openai.com/docs/libraries/python-library.
1. Ключ API OpenAI
2. Пакеты OpenAI
3. Пакеты Панд
4. Пакеты Streamlit
1. Установите пакеты OpenAI.
pip install openai
2. Установите Панды
pip install pandas
3. Установите Стримлит
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. Клонируйте репозиторий в каталог вашего проекта.
git clone 'enter repository url here'
2. Создайте образ
docker build -t predictor-gpt-app .
2. Запустите контейнер
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
