• Poetry First Impressions
  • Issues happening in the project
  • Key Requirements
    • Test Drive with Poetry
  • Challenges
  • References

Poetry First Impressions

Recently I inherited a python project which did not have dependency management setup and this post is a summary of my investigation using Poetry.

Issues happening in the project

• Different python versions used by developers and in production.
• setup.py not maintained
• Differentiating the dev dependencies vs production dependencies is hard with a single requirements.txt file
• Tracking the transitive dependencies.
• Locking the dependencies when we are ready to push the code.

Key Requirements

• Reproducibility and Consistency are the key aspects for maintaining the project.
• Managing dependencies in a python project and relying on a single tool (eg: pip, conda)

Test Drive with Poetry

• Poetry

Poetry is a tool for dependency management and packaging in Python. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.

• Getting Started on Linux

$ curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

• To start a new project poetry new <project-name>. If you have an existing project then poetry init - guide you through setting a project specific pyproject.toml config.

  1. Package, version, description, author, compatible versions
  2. Main Dependencies
  3. Development Dependencies

• Format of pyproject.toml config

  [tool.poetry]
  name = "language-detection"
  version = "0.1.0"
  description = "Detects the language of the provided text using fasttext."
  authors = ["Your Name <you@example.com>"]
  [tool.poetry.dependencies]
  python = "^3.6"
  fasttext = "0.9.1"
  Flask = "1.1.1"
  gunicorn = "20.0.4"
  [tool.poetry.dev-dependencies]
  codecov = "2.1.7"
  flake8 = "^3.8.4"
  black = "^20.8b1"
  pytest = "^6.2.1"
  pytest-cov = "^2.10.1"
  [build-system]
  requires = ["poetry-core>=1.0.0"]
  build-backend = "poetry.core.masonry.api"
  

• Manage virtual environments - Poetry automatically creates a virtual environments for you based on the project when you ran new or init. You can know more info using the following commands & use either poetry shell or source <cache_dir>/pypoetry/virtualenvs/<project_venv>/bin/activate to activate the environment. deactivate if you want to exit the environment.

$  poetry env info

Virtualenv
Python:         3.8.6
Implementation: CPython
Path:           /home/msivanes/.cache/pypoetry/virtualenvs/language-detection-ddSi-Wir-py3.8
Valid:          True

System
Platform: linux
OS:       posix
Python:   /usr

$ poetry config --list
cache-dir = "/home/msivanes/.cache/pypoetry"
experimental.new-installer = true
installer.parallel = true
virtualenvs.create = true
virtualenvs.in-project = null
virtualenvs.path = "{cache-dir}/virtualenvs"  # /home/msivanes/.cache/pypoetry/virtualenvs

• Add dependency through poetry add <package> or poetry add <package>@<version>

  $ poetry add Flask

  $ poetry add fasttext@0.9.1

  $ poetry add pytest

• Remove a dependency using poetry remove <package>

  $ poetry remove pyfasttext

• Once you finish adding the dependencies, run poetry install to install all the dependencies in your project. This will generate the poetry.lock file. This is where all the dependencies are locked and needs to be version controlled. If any other developer run poetry install then poetry uses the exact same versions specified in the dependencies while installing. This ensures all the developers are using a consistent dependencies across the board.

• If you want to upgrade the dependencies and use the latest versions, then use poetry update. This is the equivalent of deleting the poetry.lock and using install .

• Exporting the requirements.txt if you want to containarize your app.

  $ poetry export --without-hashes -f requirements.txt > requirements.txt

• For scenarios in libraries where you want to perform an editable install and hence you need a setup.py file. (Github user @albireox provided a script to quickly create setup.py which I found it here

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: José Sánchez-Gallego (gallegoj@uw.edu)
# @Date: 2019-12-18
# @Filename: create_setup.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)

# This is a temporary solution for the fact that pip install . fails with
# poetry when there is no setup.py and an extension needs to be compiled.
# See https://github.com/python-poetry/poetry/issues/1516. Running this
# script creates a setup.py filled out with information generated by
# poetry when parsing the pyproject.toml.

import os
import sys
from distutils.version import StrictVersion


# If there is a global installation of poetry, prefer that.
lib = os.path.expanduser('~/.poetry/lib')
vendors = os.path.join(lib, 'poetry', '_vendor')
current_vendors = os.path.join(
    vendors, 'py{}'.format('.'.join(str(v) for v in sys.version_info[:2]))
)

sys.path.insert(0, lib)
sys.path.insert(0, current_vendors)

try:
    try:
        from poetry.core.factory import Factory
        from poetry.core.masonry.builders.sdist import SdistBuilder
    except (ImportError, ModuleNotFoundError):
        from poetry.masonry.builders.sdist import SdistBuilder
        from poetry.factory import Factory
    from poetry.__version__ import __version__
except (ImportError, ModuleNotFoundError) as ee:
    raise ImportError('install poetry by doing pip install poetry to use '
                      f'this script: {ee}')


# Generate a Poetry object that knows about the metadata in pyproject.toml
factory = Factory()
poetry = factory.create_poetry(os.path.dirname(__file__))

# Use the SdistBuilder to genrate a blob for setup.py
if StrictVersion(__version__) >= StrictVersion('1.1.0b1'):
    sdist_builder = SdistBuilder(poetry, None)
else:
    sdist_builder = SdistBuilder(poetry, None, None)

setuppy_blob = sdist_builder.build_setup()

with open('setup.py', 'wb') as unit:
    unit.write(setuppy_blob)
    unit.write(b'\n# This setup.py was autogenerated using poetry.\n')

Challenges

• I still have issues with pyenv which I need to figure how to easily switch between python versions

References

• Poetry Documentation