TMP_PYTHON_ENV

This project is structured to demonstrate the use of two different Python dependency management and packaging tools in separate but similar environments. One environment (python_venv) uses pip with a virtual environment, which is a traditional method for installing and managing Python packages. Here, pip is responsible for installing packages listed in a requirements.txt file within an isolated virtual environment. This approach is widely used due to its simplicity and direct integration with Python's ecosystem.

The other environment (python_poetry) utilizes Poetry, an advanced packaging and dependency management tool. Poetry provides an all-in-one solution for project dependency management, packaging, and publishing. It uses a pyproject.toml file to maintain dependencies, which allows for deterministic builds and streamlined package management. Poetry also handles virtual environments internally, eliminating the need for separate environment management.

In summary, both pip and Poetry serve the purpose of managing project dependencies, but Poetry offers additional features for package creation and publishing, improved dependency resolution, and simplifies the configuration with a single pyproject.toml file as opposed to multiple files like requirements.txt and setup.py.

In the beginning i did create a copy of the python_venv folder structure and named it python_poetry. If you want to follow along, please...steps what needs to be done are noted in the following

To transform the existing Python application using a virtual environment (python_venv) to one using Poetry (python_poetry), you will need to carry out several steps. Below is a detailed description of how to migrate your python_venv project to a python_poetry project:

Prequisits

Install poetry...for this a "install_poetry.sh" script exists with

chmod +x install_poetry.sh 
/install_poetry.sh
export PATH="$HOME/.local/bin:$PATH"
source $HOME/.profile

potry should be installed, Note: You may admin privileages for that

Initialize Poetry Project: In the python_poetry directory, run poetry init. This command will help you create a new pyproject.toml file, which is the configuration file for Poetry. You will be prompted to define the project's dependencies and development dependencies; you can skip this for now if you plan to add them manually from the requirements.txt.
Add Dependencies: Review the requirements.txt file in your python_venv directory. You will add each listed package to the new Poetry project by running poetry add <package> for each dependency. For development dependencies (like testing libraries), use poetry add --dev <package>.

For example:
```
cd python_poetry
poetry add requests flask
poetry add --dev pytest
```
Configure the Python Version: Define the Python version that your project is using. You can find this information in the python_venv directory, likely within a configuration file or the Dockerfile. Specify this version in your pyproject.toml under [tool.poetry.dependencies] like so:
```
[tool.poetry.dependencies]
python = "^3.8"  # Use your project's Python version
```
Migrate Scripts and Configurations: If you have any scripts or configurations in installEnv.sh that are related to setting up the environment, you’ll need to migrate those as well. For example, environment variables can be managed outside of Poetry, but you should ensure that they are correctly set up in the environment where your Poetry-managed application runs.

Update the Dockerfile: You will need to update the Dockerfile in the python_poetry directory to use Poetry instead of pip. Here is an example of what the Dockerfile may look like after modification:

FROM python:3.8-slim

# Set the working directory to /app
WORKDIR /app

# Copy the current directory contents into the container at /app
COPY . /app

# Install Poetry
RUN pip install poetry

# Disable virtual environment creation by poetry
# as Docker provides isolation already
RUN poetry config virtualenvs.create false

# Install the project dependencies
RUN poetry install --no-dev

# Run the app
CMD ["python", "./src/main.py"]

Remove requirements.txt: Once you have verified that your application works with Poetry, you can remove the requirements.txt from the python_poetry directory, as it is no longer needed.
Update Documentation: Modify the README.md in the python_poetry directory to include instructions for setting up the project using Poetry. This should include information on how to install Poetry and how to use it to install the project's dependencies.
Test the Application: After setting up Poetry and updating the Dockerfile, build your Docker image and run it to ensure that everything works as expected. Test thoroughly to verify that all dependencies are correctly installed and that your application behaves correctly.
Commit Changes: Once you're satisfied with the setup, commit the changes to your version control system, documenting the migration from python_venv to python_poetry.

By following these steps, you should be able to successfully migrate your application from using a virtual environment with pip to managing its dependencies with Poetry.

mmorath/tmp_python_env

TMP_PYTHON_ENV

Prequisits