metastock 0.1.3

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Metastock

• Environment
• CLI Application
  • Development with PM2
  • Production (CLI)
  • Publish app
  • Refer
• Flask Application

Environment

Since poetry helps us manage environments, we no longer need to use Python virtualenv.

When creating a new project and using it with PyCharm, it will be fully integrated with the default mechanism. This will create a new isolated environment in the /.cache/pypoetry/ folder.

Lúc đó, chỉ còn trường hợp xảy ra là mình muốn thay đổi version của python. For more info, visit link

pyenv install 3.9.8
pyenv local 3.9.8  # Activate Python 3.9 for the current project
poetry install

CLI Application

Development with PM2

In local development, we can use pm2 with command

pm2 start metastock/bin/start_consumer.py --log-date-format '' --interpreter=/home/wsl/.cache/pypoetry/virtualenvs/metastock-bq6tFdVW-py3.11/bin/python --instances 4 --max-memory-restart 1G -- --name=test_consumer

pm2 start metastock/bin/start_consumer.py --log-date-format '' --interpreter=/home/wsl/.cache/pypoetry/virtualenvs/metastock-bq6tFdVW-py3.11/bin/python --instances 4 --max-memory-restart 1G -- strategy_process

Production (CLI)

So far, the significant way is run by pm2. This is the best method that will not consume much time and resources compared to building a Docker file or Kubernetes.

But, we need create a python file to call metastock module

Ex:

pm2 start metastock/start_consumer.py --log-date-format '' --interpreter=/home/wsl/.cache/pypoetry/virtualenvs/metastock-bq6tFdVW-py3.11/bin/python --instances 4 --max-memory-restart 1G -- --name=test_consumer

Publish app

1. Increase version in pyproject.toml

2. Run publish command

   poetry publish --build
   

Refer:

• Create a package https://typer.tiangolo.com/tutorial/package/

Flask Application

Refer this