Are you tired of the cumbersome process of setting up a new Python project with specific requirements? Look no further! Our shell script automates the entire process, making your life as a developer smoother and more efficient. Introducing the Ultimate Poetry Project Setup Script!
The issue this project is trying to address was kind of resolved in the lastest version of Poetry, so I believe it will be helpful to users who are still using current version 1.x. The ultimate goal of this project is to upgrade it into a project creation tool with advanced and diverse features, similar to tools like create-react-app and create-next-app, which even the latest version of Poetry does not provide.
We have developed both shell script and Python versions, but since advanced features will continue to be added only to the Python version, we recommend using the Python version for installation.
- Automated Setup: Simplifies the creation of new Python projects using Poetry, ensuring a consistent and repeatable project structure.
- Default Values: Provides sensible default values for project name, package name, Python version, virtual environment configuration, description, author name, and email, allowing for quick setup.
- Predefined Dependencies: Supports project templates (e.g., datascience, ai) with predefined dependencies loaded from a
config.toml
file located in the user's home directory. - Custom Template Loading: Allows loading and using custom templates to fit different project requirements.
- Interactive Prompts: Prompts the user for project-specific inputs if not provided via command line arguments, ensuring all necessary information is gathered for project setup.
- Email Validation: Ensures the provided author email is in a valid format.
- Directory Management: Handles existing directories gracefully by prompting the user for confirmation before overwriting, ensuring no accidental data loss or overwrite.
- Automated Installation: Installs project dependencies using Poetry, ensuring the environment is ready for development without manual intervention.
Setting up a Python project with specific requirements can be a hassle. Our script eliminates the guesswork and manual edits, letting you focus on what you do best: coding! Here’s why our script stands out:
- Time-Saving: Automates repetitive tasks so you can start coding immediately.
- Error-Free Setup: Ensures consistent and correct project configurations every time.
- User-Friendly: Designed with developers in mind, it’s simple, intuitive, and effective.
- Customizable: Adapts to your project needs, ensuring maximum flexibility.
Before installing create-poetry-app
, ensure you have the following dependencies installed on your system:
-
Zsh: Version 4.3.9 or newer is required, but we recommend version 5.0.8 or newer. To check if Zsh is installed and see its version, run:
zsh --version
-
Python: Ensure Python (version 3.6 or higher) is installed. You can check your Python version with
python3 --version
. -
curl or wget: These tools are used to download the installation script.
- To check if
curl
is installed, run:curl --version
- To check if
wget
is installed, run:wget --version
- To check if
-
git: Version 2.4.11 or higher is recommended. To check if git is installed and see its version, run:
git --version
create-poetry-app
can be installed by running one of the following commands in your terminal. You can install it via the command-line with either curl
, wget
, or another similar tool.
sh -c "$(curl -fsSL https://raw.githubusercontent.com/aifirstd3v/create-poetry-app/main/install.sh)"
sh -c "$(wget -O- https://raw.githubusercontent.com/aifirstd3v/create-poetry-app/main/install.sh)"
sh -c "$(fetch -o - https://raw.githubusercontent.com/aifirstd3v/create-poetry-app/main/install.sh)"
The script accepts the following command-line options:
-y
: Use default values for all prompts.-p
: Set the project name.-n
: Set the package name.-v
: Set the Python version (supports semver specifiers like^3.12
or~3.12
).-u
: Set an optional upper Python version limit.-d
: Set the project description.-a
: Set the author name.-e
: Set the author email.-c
: Set the virtual environment configuration (true
orfalse
).-t
: Set the template name.-h
: Display this help message.
To create a new project using default values for all prompts:
create-poetry-app -y
To create a new project with a specified name and Python version:
create-poetry-app -p my_project -v "^3.12"
To create a new project with full customization:
create-poetry-app -p my_project -n my_package -v "^3.12" -u "3.33" -d "My new project" -a "Smith Neo" -e "[email protected]" -c true
If any required options are not provided via the command line, the script will prompt for them interactively. For example, running the script without the -v
option will prompt for the Python version.
The create_poetry_app.py
script supports project templates that allow you to predefine dependencies based on the type of project you are creating. This makes it easier to set up projects with common configurations and dependencies.
You can specify a project template using the -t
or --template
option when running the script. For example:
python create_poetry_app.py -p my_project -t datascience
If you do not specify a template via the command line, the script will prompt you to enter one during execution.
The templates and their corresponding dependencies are defined in a config.toml
file. This file should be placed in the same directory as create_poetry_app.py
.
Here is an example of what your config.toml
might look like:
[template.dependency.datascience]
pandas = "^2.2.2"
numpy = ">=1.26.0,<2.0.0"
[template.dependency.ai]
pandas = "^2.2.2"
numpy = ">=1.26.0,<3.0.0"
tensorflow = "^2.4.1"
In this example, two templates are defined: datascience
and ai
. Each template specifies the dependencies that should be included in the pyproject.toml
file for projects using that template.
To add a new template, simply edit the config.toml
file and add a new section under [template.dependency]
with the name of your template. For example:
[template.dependency.web]
flask = "^2.0.0"
requests = "^2.25.1"
Now you can use the web
template when creating a new project:
python create_poetry_app.py -p my_web_project -t web
Here is a full example of using a template to create a new project:
-
Ensure your
config.toml
includes the desired template:[template.dependency.datascience] pandas = "^2.2.2" numpy = ">=1.26.0,<2.0.0"
-
Run the script with the
-t
option:python create_poetry_app.py -p my_datascience_project -t datascience
The script will automatically include the dependencies specified in the datascience
template in the pyproject.toml
file of the new project.
This feature allows you to quickly and consistently set up projects with common dependencies, saving time and reducing errors.
If create-poetry-app
was not installed via install.sh
, you can manually set it up to make the script easily accessible from anywhere in your terminal. This will allow you to run the script from any directory without needing to specify the full path.
-
Move the Script to a Directory in Your PATH:
It's common to move scripts to
/usr/local/bin
so they are in your system's PATH. However, depending on your system configuration, you might use a different directory such as/usr/bin
or another location included in your PATH. You can find out the directories in your PATH by runningecho $PATH
in your terminal.Here is a command to move the script to
/usr/local/bin
and make it executable:sudo mv create-poetry-app /usr/local/bin/ sudo chmod +x /usr/local/bin/create-poetry-app
If you prefer to use a different directory, replace
/usr/local/bin/
with your preferred directory. -
Add to Shell Configuration File Manually (Optional):
Depending on your shell, you need to add the directory to your PATH in your shell configuration file. The common files are:
- Bash:
~/.bashrc
- Zsh:
~/.zshrc
(You can modify the configuration file according to your system's environment.)
If you're not sure which shell you are using, you can check by running
echo $SHELL
in your terminal.-
For Bash users, add the following line to your
~/.bashrc
file:echo 'export PATH="/usr/local/bin:$PATH"' >> ~/.bashrc source ~/.bashrc
-
For Zsh users, add the following line to your
~/.zshrc
file:echo 'export PATH="/usr/local/bin:$PATH"' >> ~/.zshrc source ~/.zshrc
- Bash:
-
Reload Your Shell Configuration:
After editing the configuration file, you need to reload it to apply the changes:
-
For Bash users:
source ~/.bashrc
-
For Zsh users:
source ~/.zshrc
-
-
Run the Script from Anywhere:
Now you can run the
create-poetry-app
script from any directory by simply typing:create-poetry-app
By following these steps, you'll make create-poetry-app
easily accessible, streamlining your workflow and allowing you to set up new Poetry projects quickly and efficiently from anywhere in your terminal.
To uninstall create-poetry-app
, you can use the uninstaller.sh
script. Follow these steps:
If create-poetry-app
is already installed in the $HOME/.create-poetry-app
directory, you can run the uninstaller.sh
script directly from that directory:
-
Navigate to the Installation Directory:
cd $HOME/.create-poetry-app
-
Make the Script Executable (if not already executable):
chmod +x uninstaller.sh
-
Run the Uninstaller Script:
./uninstaller.sh
OR
sh -c "$(curl -fsSL https://raw.githubusercontent.com/aifirstd3v/create-poetry-app/main/uninstaller.sh)"
sh -c "$(wget -O- https://raw.githubusercontent.com/aifirstd3v/create-poetry-app/main/uninstaller.sh)"
sh -c "$(fetch -o - https://raw.githubusercontent.com/aifirstd3v/create-poetry-app/main/uninstaller.sh)"
This will remove the create-poetry-app
installation and any configurations added during the setup.
Here are some essential Poetry commands to help you manage your Python projects efficiently:
Poetry Command | Explanation |
---|---|
$ poetry --version |
Show the version of your Poetry installation. |
$ poetry new |
Create a new Poetry project. |
$ poetry init |
Add Poetry to an existing project. |
$ poetry add <package> |
Add a package to pyproject.toml and install it. |
$ poetry update |
Update your project's dependencies. |
$ poetry install |
Install the dependencies. |
$ poetry show |
List installed packages. |
$ poetry check |
Validate pyproject.toml . |
$ poetry export |
Export poetry.lock to other formats. |
$ poetry config --list |
Show the Poetry configuration. |
$ poetry env list |
List the virtual environments of your project. |
$ poetry lock |
Pin the latest version of your dependencies into poetry.lock . |
$ poetry lock --no-update |
Refresh the poetry.lock file without updating any dependency version. |
$ poetry run <command> |
Execute the given command with Poetry. |
You can check out the Poetry CLI documentation to learn more about the commands above and the other commands Poetry offers. You can also run poetry --help
to see information right in your terminal!
To maximize the efficiency and usability of Poetry, here are some key configuration settings and additional knowledge you should be aware of:
Configuration | Explanation |
---|---|
virtualenvs.in-project |
Determines whether to create virtual environments within the project directory. Set to true to keep the virtual environment in the project folder. |
virtualenvs.path |
Defines the path where virtual environments will be created. By default, this is in a cache directory under your home directory. |
virtualenvs.prefer-active-python |
If set to true , uses the currently active Python version to create new virtual environments. Introduced in Poetry 1.2.0. |
virtualenvs.prompt |
Sets the format for the virtual environment prompt. Variables available for formatting include {project_name} and {python_version} . |
You can set these configuration options using the poetry config
command. Here are some examples:
-
Set virtual environments to be created within the project directory:
poetry config virtualenvs.in-project true
-
Set the path for virtual environments:
poetry config virtualenvs.path "/path/to/your/virtualenvs"
-
Use the currently active Python version for new virtual environments:
poetry config virtualenvs.prefer-active-python true
-
Customize the virtual environment prompt:
poetry config virtualenvs.prompt "{project_name}-py{python_version}"
- Environment Variables: Poetry can be configured using environment variables, which can be particularly useful in CI/CD pipelines or when you need temporary settings.
- Lock Files: The
poetry.lock
file is crucial for ensuring consistent environments across different setups. Always commit this file to your version control system. - Dependency Groups: Poetry allows you to manage dependencies in groups (e.g.,
dev
,test
). This helps keep your production environment clean and your development environment fully equipped.
By mastering these commands and configuration settings, you can take full advantage of Poetry's powerful features and streamline your Python project management.
- Add support for Poetry 2.0 and maintain backward compatibility
- Add more options and input support
Take your Python project setup to the next level. Save time, reduce errors, and get started on your next big idea faster than ever before with our Ultimate Poetry Project Setup Script! 🌟
We love feedback! If you have any suggestions or improvements, feel free to fork this repository and contribute.
Happy Coding! ✨