After tried Pyenv and Pipenv, I'm still not sure if it's really reliable and comfortable to use. Sometimes I got an error when installing package with Pipenv or got some issue when switching version using Pyenv. So maybe these tools is not stable enough (at least in my Window machine). Then I found this promising new dependency manager for Python named Poetry. By looking at the repository page on github and the documentation page, I'm convinced that this tool is more serious than previous two. So let's give it a try.
Currently I'm using Python 3.8 on my machine. Based on installation docs, Installing Poetry is quite easy but make sure you have the required Python installed. Open Powershell console with Administrator privilege, use this script and enter:
(Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | python -
Then it should do the work. Here is my log result:
C:\WINDOWS\system32> (Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | python - Retrieving Poetry metadata This installer is deprecated. Poetry versions installed using this script will not be able to use 'self update' command to upgrade to 1.2.0a1 or later. # Welcome to Poetry! This will download and install the latest version of Poetry, a dependency and package manager for Python. It will add the `poetry` command to Poetry's bin directory, located at: %USERPROFILE%\.poetry\bin This path will then be added to your `PATH` environment variable by modifying the `HKEY_CURRENT_USER/Environment/PATH` registry key. You can uninstall at any time by executing this script with the --uninstall option, and these changes will be reverted. Installing version: 1.1.7 - Downloading poetry-1.1.7-win32.tar.gz (52.41MB) Poetry (1.1.7) is installed now. Great! To get started you need Poetry's bin directory (%USERPROFILE%\.poetry\bin) in your `PATH` environment variable. Future applications will automatically have the correct environment, but you may need to restart your current shell.
Then open a new Command Prompt (CMD) console without administrator privilege and type only this and enter:
It should verifies that Poetry is installed perfectly like this:
C:\Users\dendi>poetry Poetry version 1.1.7 USAGE poetry [-h] [-q] [-v [<...>]] [-V] [--ansi] [--no-ansi] [-n] <command> [<arg1>] ... [<argN>] ARGUMENTS <command> The command to execute <arg> The arguments of the command GLOBAL OPTIONS -h (--help) Display this help message -q (--quiet) Do not output any message -v (--verbose) Increase the verbosity of messages: "-v" for normal output, "-vv" for more verbose output and "-vvv" for debug -V (--version) Display this application version --ansi Force ANSI output --no-ansi Disable ANSI output -n (--no-interaction) Do not ask any interactive question AVAILABLE COMMANDS about Shows information about Poetry. add Adds a new dependency to pyproject.toml. build Builds a package, as a tarball and a wheel by default. cache Interact with Poetry's cache check Checks the validity of the pyproject.toml file. config Manages configuration settings. debug Debug various elements of Poetry. env Interact with Poetry's project environments. export Exports the lock file to alternative formats. help Display the manual of a command init Creates a basic pyproject.toml file in the current directory. install Installs the project dependencies. lock Locks the project dependencies. new Creates a new Python project at <path>. publish Publishes a package to a remote repository. remove Removes a package from the project dependencies. run Runs a command in the appropriate environment. search Searches for packages on remote repositories. self Interact with Poetry directly. shell Spawns a shell within the virtual environment. show Shows information about packages. update Update the dependencies as according to the pyproject.toml file. version Shows the version of the project or bumps it when a valid bump rule is provided.
Let's create a simple API project using FastAPI, starting to create the project base first with poetry:
poetry new fastapi-example
it creates a new directory with this structure:
fastapi-example |__ fastapi_example |__ __init__.py |__ tests |__ __init__.py |__ test_fastapi_example.py |__ pyproject.toml |__ README.rst
It's recommended to create the virtual environment in the project itself. Set it with this command:
poetry config virtualenvs.in-project true
The package needed for the project is obviously the
fastapi package, to add it with poetry:
poetry add fastapi
What are the changes after we add fastapi to the project? There are two files that affected:
poetry.lock. The changes are just like a normal dependency manager would look like, the installed package was added and listed.
Adding a package for the first will also creating the virtualenv directory. In my machine, the default location is in
To continue testing the fastapi project, we also need uvicorn for the server:
poetry add uvicorn[standard]
main.py file the root directory of project and fill it with the sample from official docs.
After that, let's run it with:
poetry run uvicorn main:app --reload
The server should running and started, access it on browser at
Is it running on your machine?