| Name | py-pilecore JSON |
| Version |
0.4.2
JSON |
| download |
| home_page | None |
| Summary | Public python SDK for the CEMS PileCore web-API. |
| upload_time | 2024-05-17 10:03:22 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License Copyright (c) 2023 CEMS 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. |
| keywords |
api
pilecore
cems
crux
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
alabaster
asteroid-sphinx-theme
asttokens
babel
backcall
black
cems-nuclei
certifi
charset-normalizer
click
comm
contourpy
coverage
coveralls
cycler
decorator
docopt
docutils
executing
flake8
fonttools
gef-file-to-map
idna
imagesize
iniconfig
ipython
ipywidgets
isort
jedi
jinja2
jupyterlab-widgets
kiwisolver
lxml
markupsafe
matplotlib
matplotlib-inline
mccabe
mypy
mypy-extensions
natsort
numpy
orjson
packaging
pandas
pandas-stubs
parso
pathspec
pexpect
pickleshare
pillow
platformdirs
pluggy
polars
prompt-toolkit
ptyprocess
pure-eval
pyarrow
pycodestyle
pyflakes
pygef
pygments
pyjwt
pyparsing
pytest
python-dateutil
pytz
requests
scipy
shapely
six
snowballstemmer
sphinx
sphinx-autodoc-typehints
sphinx-rtd-theme
sphinxcontrib-applehelp
sphinxcontrib-devhelp
sphinxcontrib-htmlhelp
sphinxcontrib-jquery
sphinxcontrib-jsmath
sphinxcontrib-qthelp
sphinxcontrib-serializinghtml
stack-data
tokenize-rt
tomli
tqdm
traitlets
types-pytz
types-tqdm
typing-extensions
tzdata
urllib3
wcwidth
widgetsnbextension
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
# py-pilecore
Public python SDK for the CEMS PileCore web-API
[](http://mypy-lang.org/)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
[](https://coveralls.io/github/cemsbv/py-pilecore)
This repository is created by [CEMS BV](https://cemsbv.nl/) and is a public python wrapper around the CEMS [PileCore web-API](https://nuclei.cemsbv.io/#/pilecore/api).
# Installation
To install a package in this repository run:
`$ pip install py-pilecore`
## ENV VARS
To use `py-pilecore` add the follow ENV vars to your environment. Or provide them when asked.
```
* NUCLEI_TOKEN
- Your NUCLEI user token
```
You can obtain your `NUCLEI_TOKEN` on [NUCLEI](https://nuclei.cemsbv.io/#/).
Go to `personal-access-tokens` and create a new user token.
# Contribution
## Environment
We recommend developing in Python3.10 with a clean virtual environment (using `virtualenv` or `conda`), installing the requirements from the requirements.txt file:
Example using `virtualenv` and `pip` to install the dependencies in a new environment .env on Linux:
```bash
python -m venv .env
source .env/bin/activate
python -m pip install --upgrade pip setuptools
pip install -r requirements.txt
pip install -e .
```
## Documentation
Build the docs:
```bash
python -m pip install --upgrade pip setuptools
pip install -r requirements.txt
pip install .
sphinx-build -b html docs public
```
## Format
We format our code with black and isort.
```bash
black --config "pyproject.toml" src/pypilecore tests notebooks
isort --settings-path "pyproject.toml" src/pypilecore tests notebooks
```
## Lint
To maintain code quality we use the GitHub super-linter.
To run the linters locally, run the `run_super_linters.sh` bash script from the root directory.
## UnitTest
Test the software with the use of coverage:
```bash
python -m pip install --upgrade pip setuptools
pip install -r requirements.txt
pip install -e .
coverage run -m pytest
```
## Requirements
Requirements are autogenerated by the `pip-compile` command with python 3.10
Install pip-tools with:
```bash
pip install pip-tools
```
Generate requirements.txt file with:
```bash
pip-compile --extra=test --extra=lint --extra=docs --output-file=requirements.txt pyproject.toml
```
Update the requirements within the defined ranges with:
```bash
pip-compile --upgrade --extra=test --extra=lint --extra=docs --output-file=requirements.txt pyproject.toml
```
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