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RonanMorgan authored Jun 20, 2024
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68 changes: 68 additions & 0 deletions .github/workflows/d4g-utils.yml
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name: Copy File to Organization Repos

on:
push:
paths:
- 'd4g-utils/**' # Trigger the workflow only when changes are made in the d4g-utils directory
branches:
- main

# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:

jobs:
copy:
runs-on: ubuntu-latest
steps:
- name: Checkout template repo
uses: actions/checkout@v2

- name: Set up Git
run: |
git config --global user.email "[email protected]"
git config --global user.name "D4G Tech"
- name: Get organization repositories
id: org_repos
run: |
ORG_NAME="dataforgoodfr"
TEMPLATE_REPO="$ORG_NAME/python_template"
TOKEN=$1
# Fetch repositories from the organization
repos=`gh repo list $ORG_NAME --limit 500 | awk ' {print $1}'`
echo "::set-output name=repos::$repos"
env:
GH_TOKEN: ${{ secrets.D4GTECH_TOKEN }}

- name: Copy files to organization repos
run: |
echo "Searching for repositories generated from template: $template_repo"
for repo in ${{ steps.org_repos.outputs.repos }}; do
repo_info=`gh api repos/$repo`
echo "$repo_info" | jq -r ".template_repository.full_name" | grep "$template_repo" 2>&1 > /dev/null
if [ "$?" -eq "0" ]
then
echo "repo_using_template: $repo"
fi
done
env:
GH_TOKEN: ${{ secrets.D4GTECH_TOKEN }}


# for repo in ${{ steps.org_repos.outputs.repos }}; do
# # Clone the repository
# git clone "https://github.com/$repo" target_repo

# # Copy all files from d4g-utils to target repository d4g-utlis
# rsync -av --exclude='.git' d4g-utils/ target_repo/d4g-utils

# # Commit and push changes
# cd target_repo
# git add .
# git commit -m "Copy files from d4g-utils directory"
# git push origin main

# cd ..
# done
25 changes: 25 additions & 0 deletions .github/workflows/pre-commit.yaml
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name: pre-commit

on:
pull_request:
push:
branches: [main]

jobs:
pre-commit:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-python@v2

- name: Install poetry
run: |
python -m pip install poetry
poetry export --with dev --format=requirements.txt --output=requirements.txt
- name: set PY
run: echo "PY=$(python -c 'import hashlib, sys;print(hashlib.sha256(sys.version.encode()+sys.executable.encode()).hexdigest())')" >> $GITHUB_ENV
- uses: actions/cache@v1
with:
path: ~/.cache/pre-commit
key: pre-commit|${{ env.PY }}|${{ hashFiles('.pre-commit-config.yaml') }}
- uses: pre-commit/[email protected]
163 changes: 163 additions & 0 deletions .gitignore
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# From https://github.com/github/gitignore/blob/main/Python.gitignore
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
bin/
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
lib64
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.env.test
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# VS Code
.vscode

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# Precommit hooks: ruff cache
.ruff_cache
21 changes: 21 additions & 0 deletions .pre-commit-config.yaml
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repos:
- repo: https://github.com/charliermarsh/ruff-pre-commit
# Ruff version.
rev: "v0.2.1"
hooks:
- id: ruff
args: [--fix]
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.3.0
hooks:
- id: check-merge-conflict
- id: mixed-line-ending
#- repo: https://github.com/pycqa/bandit
# rev: 1.7.4
# hooks:
# - id: bandit
# exclude: tests/
- repo: https://github.com/Lucas-C/pre-commit-hooks-safety
rev: v1.3.1
hooks:
- id: python-safety-dependencies-check
20 changes: 20 additions & 0 deletions LICENSE
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Copyright (c) 2015-2024 Data4Good

Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
68 changes: 68 additions & 0 deletions README.md
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# Template DataForGood

This file will become your README and also the index of your
documentation.

# Contributing

## Installer Poetry

Plusieurs [méthodes d'installation](https://python-poetry.org/docs/#installation) sont décrites dans la documentation de poetry dont:

- avec pipx
- avec l'installateur officiel

Chaque méthode a ses avantages et inconvénients. Par exemple, la méthode pipx nécessite d'installer pipx au préable, l'installateur officiel utilise curl pour télécharger un script qui doit ensuite être exécuté et comporte des instructions spécifiques pour la completion des commandes poetry selon le shell utilisé (bash, zsh, etc...).

L'avantage de pipx est que l'installation de pipx est documentée pour linux, windows et macos. D'autre part, les outils installées avec pipx bénéficient d'un environment d'exécution isolé, ce qui est permet de fiabiliser leur fonctionnement. Finalement, l'installation de poetry, voire d'autres outils est relativement simple avec pipx.

Cependant, libre à toi d'utiliser la méthode qui te convient le mieux ! Quelque soit la méthode choisie, il est important de ne pas installer poetry dans l'environnement virtuel qui sera créé un peu plus tard dans ce README pour les dépendances de la base de code de ce repo git.

### Installation de Poetry avec pipx

Suivre les instructions pour [installer pipx](https://pipx.pypa.io/stable/#install-pipx) selon ta plateforme (linux, windows, etc...)

Par exemple pour Ubuntu 23.04+:

sudo apt update
sudo apt install pipx
pipx ensurepath

[Installer Poetry avec pipx](https://python-poetry.org/docs/#installing-with-pipx):

pipx install poetry

### Installation de Poetry avec l'installateur officiel

L'installation avec l'installateur officiel nécessitant quelques étapes supplémentaires,
se référer à la [documentation officielle](https://python-poetry.org/docs/#installing-with-the-official-installer).

## Utiliser un venv python

python3 -m venv .venv

source .venv/bin/activate

## Utiliser Poetry

Installer les dépendances:

poetry install

Ajouter une dépendance:

poetry add pandas

Mettre à jour les dépendances:

poetry update

## Lancer les precommit-hook localement

[Installer les precommit](https://pre-commit.com/)

pre-commit run --all-files

## Utiliser Tox pour tester votre code

tox -vv
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