data-loader-plugin 0.0.1.post1

Python plugin/extra to load data files from an external source (such as AWS S3) to a local directory

Data Loader Plugin - Python

Table of Content (ToC)

• Data Loader Plugin - Python
• Table of Content (ToC)
• Overview
• References
  • Python module
  • Python virtual environments
• Installation
  • Clone this Git repository
  • Python environment
• Usage
  • Install the data-loader-plugin module
    • Install in the Python user space
    • Installation in a dedicated Python virtual environment
  • Use data-loader-plugin as a module from another Python program
• Development / Contribution
  • Test the data loader plugin Python module

Table of contents generated with markdown-toc

Overview

The data loader plugin, aims at supporting running programs (e.g., API service backends) when downloading data from cloud services such as AWS S3. It provides a base Python library, namely data-loader-plugin, offering a few methods to download data files from AWS S3.

References

Python module

• GitHub: https://github.com/cloud-helpers/python-plugin-data-loader/tree/master/data_loader_plugin

• PyPi: https://pypi.org/project/data-loader-plugin/

• Read the Docs (RTD): https://readthedocs.org/projects/data-loader-plugin/

Python virtual environments

• Pyenv and pipenv: http://github.com/machine-learning-helpers/induction-python/tree/master/installation/virtual-env

Installation

Clone this Git repository

$ mkdir -p ~/dev/infra && \
  git clone [e-mail]:cloud-helpers/python-plugin-data-loader.git ~/dev/infra/python-plugin-data-loader
$ cd ~/dev/infra/python-plugin-data-loader

Python environment

• If not already done so, install pyenv, Python 3.9 and, pip and pipenv
  • PyEnv:

$ git clone https://github.com/pyenv/pyenv.git ${HOME}/.pyenv
$ cat >> ~/.profile2 << _EOF

# Python
eval "\$(pyenv init --path)"

_EOF
$ cat >> ~/.bashrc << _EOF

# Python
export PYENV_ROOT="\${HOME}/.pyenv"
export PATH="\${PYENV_ROOT}/bin:\${PATH}"
. ~/.profile2
if command -v pyenv 1>/dev/null 2>&1
then
        eval "\$(pyenv init -)"
fi
if command -v pipenv 1>/dev/null 2>&1
then
        eval "\$(pipenv --completion)"
fi

_EOF
$ . ~/.bashrc

• Python 3.9:

$ pyenv install 3.9.8 && pyenv local 3.9.8

• pip:

$ python -mpip install -U pip

• pipenv:

$ python -mpip install -U pipenv

Usage

Install the data-loader-plugin module

• There are at least two ways to install the data-loader-plugin module, in the Python user space with pip and in a dedicated virtual environment with pipenv.

  • Both options may be installed in parallel
  • The Python user space (typically, /usr/local/opt/python@3.9 on MacOS or ~/.pyenv/versions/3.9.8 on Linux) may already have many other modules installed, parasiting a fine-grained control over the versions of every Python dependency. If all the versions are compatible, then that option is convenient as it is available from the whole user space, not just from this sub-directory

• In the remainder of that Usage section, it will be assumed that the data-loader-plugin module has been installed and readily available from the environment, whether that environment is virtual or not. In other words, to adapt the documentation for the case where pipenv is used, just add pipenv run in front of every Python-related command.

Install in the Python user space

• Install and use the data-loader-plugin module in the user space (with pip):

$ python -mpip uninstall data-loader-plugin
$ python -mpip install -U data-loader-plugin

Installation in a dedicated Python virtual environment

• Install and use the data-loader-plugin module in a virtual environment:

$ pipenv shell
(python-...-JwpAHotb) ✔ python -mpip install -U data-loader-plugin
(python-...-JwpAHotb) ✔ python -mpip install -U data-loader-plugin
(python-...-JwpAHotb) ✔ exit

Use data-loader-plugin as a module from another Python program

• Check the data file with the AWS command-line (CLI):

$ aws s3 ls --human s3://nyc-tlc/trip\ data/yellow_tripdata_2021-07.csv --no-sign-request
2021-10-29 20:44:34  249.3 MiB yellow_tripdata_2021-07.csv

• Module import statements:

>>> import importlib
>>> from types import ModuleType
>>> from data_loader_plugin.base import DataLoaderBase

• Create an instance of the DataLoaderBase Python class:

>>> plugin: ModuleType = importlib.import_module("data_loader_plugin.copyfile")
>>> data_loader: DataLoaderBase = plugin.DataLoader(
        local_path='/tmp/yellow_tripdata_2021-07.csv',
        external_url='s3://nyc-tlc/trip\ data/yellow_tripdata_2021-07.csv',
    )
>>> data_load_success, message = data_loader.load()

Development / Contribution

• Build the source distribution and Python artifacts (wheels):

$ rm -rf _skbuild/ build/ dist/ .tox/ __pycache__/ .pytest_cache/ MANIFEST *.egg-info/
$ pipenv run python setup.py sdist bdist_wheel

• Upload to Test PyPi (no Linux binary wheel can be uploaded on PyPi):

$ PYPIURL="https://test.pypi.org"
$ pipenv run twine upload -u __token__ --repository-url ${PYPIURL}/legacy/ dist/*
Uploading distributions to https://test.pypi.org/legacy/
Uploading data_loader_plugin-0.0.1-py3-none-any.whl
100%|███████████████████████████████████████| 23.1k/23.1k [00:02<00:00, 5.84kB/s]
Uploading data-loader-plugin-0.0.1.tar.gz
100%|███████████████████████████████████████| 23.0k/23.0k [00:01<00:00, 15.8kB/s]

View at:
https://test.pypi.org/project/data-loader-plugin/0.0.1/

• Upload/release the Python packages onto the PyPi repository:
  • Register the authentication token for access to PyPi:

$ PYPIURL="https://upload.pypi.org"
$ pipenv run keyring set ${PYPIURL}/ __token__
Password for '__token__' in '${PYPIURL}/':

• Register the authentication token for access to PyPi:

$ pipenv run twine upload -u __token__ --repository-url ${PYPIURL}/legacy/ dist/*
Uploading distributions to https://upload.pypi.org/legacy/
Uploading data_loader_plugin-0.0.1-py3-none-any.whl
100%|███████████████████████████████████████| 23.1k/23.1k [00:02<00:00, 5.84kB/s]
Uploading data-loader-plugin-0.0.1.tar.gz
100%|███████████████████████████████████████| 23.0k/23.0k [00:01<00:00, 15.8kB/s]

View at:
https://pypi.org/project/data-loader-plugin/0.0.1/

• Note that the documentation is built automatically by ReadTheDocs (RTD)

  • The documentation is available from https://data-loader-plugin.readthedocs.io/en/latest/
  • The RTD project is setup on https://readthedocs.org/projects/data-loader-plugin/

• Build the documentation manually (with Sphinx):

$ pipenv run python setup.py build_sphinx
running build_sphinx
Running Sphinx v4.3.0
[autosummary] generating autosummary for: README.md
myst v0.15.2: ..., words_per_minute=200)
building [mo]: targets for 0 po files that are out of date
building [html]: targets for 1 source files that are out of date
updating environment: [new config] 1 added, 0 changed, 0 removed
reading sources... [100%] README
...
looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... done
writing output... [100%] README
...
build succeeded.

The HTML pages are in build/sphinx/html.

• Re-generate the Python dependency files (requirements.txt) for the CI/CD pipeline (currently Travis CI):

$ pipenv --rm; rm -f Pipfile.lock; pipenv install; pipenv install --dev
$ git add Pipfile.lock
$ pipenv lock -r > ci/requirements.txt
$ pipenv lock --dev -r > ci/requirements-dev.txt
$ git add ci/requirements.txt ci/requirements-dev.txt
$ git commit -m "[CI] Upgraded the Python dependencies for the Travis CI pipeline"

Test the data loader plugin Python module

• Enter into the pipenv Shell:

$ pipenv shell
(python-...-iVzKEypY) ✔ python -V
Python 3.9.8

• Uninstall any previously installed data-loader-plugin module/library:

(python-...-iVzKEypY) ✔ python -mpip uninstall data-loader-plugin

• Launch a simple test with pytest

(python-iVzKEypY) ✔ python -mpytest tests
=================== test session starts ==================
platform darwin -- Python 3.9.8, pytest-6.2.5, py-1.11.0, pluggy-1.0.0
rootdir: ~/dev/infra/python-plugin-data-loader
plugins: cov-3.0.0
collected 3 items

tests/test_copyfile.py .                             [ 33%]
tests/test_s3.py ..                                  [100%]
====================== 3 passed in 1.22s ==================

• Exit the pipenv Shell:

(python-...-iVzKEypY) ✔ exit