🔖 2.1.0 release

.github/workflows/pypi.yml

@@ -4,40 +4,22 @@ on:
     branches:
       - master
 env:
-  TWINE_USERNAME: ${{ secrets.TWINE_USERNAME }}
-  TWINE_PASSWORD: ${{ secrets.TWINE_PASSWORD }}
+  PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
 jobs:
   package-and-deploy:
-    strategy:
-      matrix:
-        platform: [cpu, gpu]
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v2
       - uses: actions/setup-python@v2
         with:
           python-version: 3.7
-      - uses: actions/cache@v2
-        with:
-          path: ~/.cache/pip
-          key: ${{ runner.os }}-pip-${{ hashFiles('**/setup.py') }}
-          restore-keys: |
-            ${{ runner.os }}-pip-
-      - uses: actions/cache@v2
-        with:
-          path: ${{ env.GITHUB_WORKSPACE }}/dist
-          key: sdist-${{ matrix.platform }}-${{ hashFiles('**/setup.py') }}
-          restore-keys: |
-            sdist-${{ matrix.platform }}-${{ hashFiles('**/setup.py') }}
-            sdist-${{ matrix.platform }}
-            sdist-
-      - name: Install dependencies
-        run: pip install --upgrade pip setuptools twine
-      - if: ${{ matrix.platform  == 'cpu' }}
-        name: Package CPU distribution
-        run: make build
-      - if: ${{ matrix.platform == 'gpu' }}
-        name: Package GPU distribution)
-        run: make build-gpu
+      - name: Install Poetry
+        run: |
+          pip install poetry
+          poetry config virtualenvs.in-project false
+          poetry config virtualenvs.path ~/.virtualenvs
+          poetry config pypi-token.pypi $PYPI_TOKEN
       - name: Deploy to pypi
-        run: make deploy
+        run: |
+          poetry build
+          poetry publish

CHANGELOG.md

@@ -1,5 +1,26 @@
 # Changelog History
 
+## 2.1.0
+
+This version introduce design related changes, especially transition to Typer for CLI managment and Poetry as
+library build backend.
+
+* `-i` option is now deprecated and replaced by traditional CLI input argument listing
+* Project is now built using Poetry
+* Project requires code formatting using Black and iSort
+
+### API changes:
+
+* function `get_default_audio_adapter` is now available as `default()` class method within `AudioAdapter` class
+* function `get_default_model_provider` is now available as `default()` class method within `ModelProvider` class
+* `STFTBackend` and `Codec` are now string enum
+* `GithubModelProvider` now use `httpx` with HTTP/2 support
+* Commands are now located in `__main__` module, wrapped as simple function using Typer options module provide specification for each available option and argument
+* `types` module provide custom type specification and must be enhanced in future release to provide more robust typing support with MyPy
+* `utils.logging` module has been cleaned, logger instance is now a module singleton, and a single function is used to configure it with verbose parameter
+* Added a custom logger handler (see tiangolo/typer#203 discussion)
+
+
 ## 2.0
 
 First release, October 9th 2020

MANIFEST.in

@@ -1,3 +0,0 @@
-include spleeter/resources/*.json
-include README.md
-include LICENSE

Makefile

@@ -1,34 +0,0 @@
-# =======================================================
-# Library lifecycle management.
-#
-# @author Deezer Research <spleeter@deezer.com>
-# @licence MIT Licence
-# =======================================================
-
-FEEDSTOCK = spleeter-feedstock
-FEEDSTOCK_REPOSITORY = https://github.com/deezer/$(FEEDSTOCK)
-FEEDSTOCK_RECIPE = $(FEEDSTOCK)/recipe/spleeter/meta.yaml
-PYTEST_CMD = pytest -W ignore::FutureWarning -W ignore::DeprecationWarning -vv --forked
-
-all: clean build test deploy
-
-clean:
-	rm -Rf *.egg-info
-	rm -Rf dist
-
-build: clean
-	sed -i "s/project_name = '[^']*'/project_name = 'spleeter'/g" setup.py
-	sed -i "s/tensorflow_dependency = '[^']*'/tensorflow_dependency = 'tensorflow'/g" setup.py
-	python3 setup.py sdist
-
-build-gpu: clean
-	sed -i "s/project_name = '[^']*'/project_name = 'spleeter-gpu'/g" setup.py
-	sed -i "s/tensorflow_dependency = '[^']*'/tensorflow_dependency = 'tensorflow-gpu'/g" setup.py
-	python3 setup.py sdist
-
-test:
-	$(PYTEST_CMD) tests/
-
-deploy:
-	pip install twine
-	twine upload --skip-existing dist/*

pyproject.toml

@@ -41,7 +41,7 @@ classifiers = [
     "Topic :: Utilities"
 ]
 packages = [ { include = "spleeter" } ]
-include = ["spleeter/resources/*.json"]
+include = ["LICENSE", "spleeter/resources/*.json"]
 
 [tool.poetry.dependencies]
 python = "^3.7"

setup.py

@@ -1,103 +0,0 @@
-#!/usr/bin/env python
-# coding: utf8
-
-"""  Distribution script. """
-
-import sys
-
-from os import path
-from setuptools import setup
-
-__email__ = 'spleeter@deezer.com'
-__author__ = 'Deezer Research'
-__license__ = 'MIT License'
-
-# Default project values.
-project_name = 'spleeter'
-project_version = '2.1.0'
-tensorflow_dependency = 'tensorflow'
-tensorflow_version = '2.3.0'
-here = path.abspath(path.dirname(__file__))
-readme_path = path.join(here, 'README.md')
-with open(readme_path, 'r') as stream:
-    readme = stream.read()
-
-# Package setup entrypoint.
-setup(
-    name=project_name,
-    version=project_version,
-    description='''
-        The Deezer source separation library with
-        pretrained models based on tensorflow.
-    ''',
-    long_description=readme,
-    long_description_content_type='text/markdown',
-    author='Deezer Research',
-    author_email='spleeter@deezer.com',
-    url='https://github.com/deezer/spleeter',
-    license='MIT License',
-    packages=[
-        'spleeter',
-        'spleeter.audio',
-        'spleeter.model',
-        'spleeter.model.functions',
-        'spleeter.model.provider',
-        'spleeter.resources',
-        'spleeter.utils',
-    ],
-    package_data={'spleeter.resources': ['*.json']},
-    python_requires='>=3.6, <3.9',
-    include_package_data=True,
-    install_requires=[
-        'ffmpeg-python==0.2.0',
-        'importlib_resources ; python_version<"3.7"',
-        'norbert==0.2.1',
-        'numpy<1.19.0,>=1.16.0',
-        'pandas==1.1.2',
-        'httpx[http2]',
-        'typer',
-        'scipy==1.4.1',
-        'setuptools>=41.0.0',
-        'librosa==0.8.0',
-        'idna<3,>=2.5',
-        '{}=={}'.format(tensorflow_dependency, tensorflow_version),
-    ],
-    extras_require={
-        'evaluation':  ['musdb==0.3.1', 'museval==0.3.0']
-    },
-    entry_points={
-        'console_scripts': ['spleeter=spleeter.__main__:entrypoint']
-    },
-    classifiers=[
-        'Environment :: Console',
-        'Environment :: MacOS X',
-        'Intended Audience :: Developers',
-        'Intended Audience :: Information Technology',
-        'Intended Audience :: Science/Research',
-        'License :: OSI Approved :: MIT License',
-        'Natural Language :: English',
-        'Operating System :: MacOS',
-        'Operating System :: Microsoft :: Windows',
-        'Operating System :: POSIX :: Linux',
-        'Operating System :: Unix',
-        'Programming Language :: Python',
-        'Programming Language :: Python :: 3',
-        'Programming Language :: Python :: 3.6',
-        'Programming Language :: Python :: 3.7',
-        'Programming Language :: Python :: 3.8',
-        'Programming Language :: Python :: 3 :: Only',
-        'Programming Language :: Python :: Implementation :: CPython',
-        'Topic :: Artistic Software',
-        'Topic :: Multimedia',
-        'Topic :: Multimedia :: Sound/Audio',
-        'Topic :: Multimedia :: Sound/Audio :: Analysis',
-        'Topic :: Multimedia :: Sound/Audio :: Conversion',
-        'Topic :: Multimedia :: Sound/Audio :: Sound Synthesis',
-        'Topic :: Scientific/Engineering',
-        'Topic :: Scientific/Engineering :: Artificial Intelligence',
-        'Topic :: Scientific/Engineering :: Information Analysis',
-        'Topic :: Software Development',
-        'Topic :: Software Development :: Libraries',
-        'Topic :: Software Development :: Libraries :: Python Modules',
-        'Topic :: Utilities']
-)