| Author: | Daniel Lindsley |
|---|---|
| Date: | 2013/07/28 |
Haystack provides modular search for Django. It features a unified, familiar API that allows you to plug in different search backends (such as Solr, Elasticsearch, Whoosh, Xapian, etc.) without having to modify your code.
Haystack is BSD licensed, plays nicely with third-party app without needing to modify the source and supports advanced features like faceting, More Like This, highlighting, spatial search and spelling suggestions.
You can find more information at http://haystacksearch.org/.
There is a mailing list (http://groups.google.com/group/django-haystack/) available for general discussion and an IRC channel (#haystack on irc.freenode.net).
- Development version: http://docs.haystacksearch.org/
- v2.5.X: https://django-haystack.readthedocs.io/en/v2.5.0/
- v2.4.X: https://django-haystack.readthedocs.io/en/v2.4.1/
- v2.3.X: https://django-haystack.readthedocs.io/en/v2.3.0/
- v2.2.X: https://django-haystack.readthedocs.io/en/v2.2.0/
- v2.1.X: https://django-haystack.readthedocs.io/en/v2.1.0/
- v2.0.X: https://django-haystack.readthedocs.io/en/v2.0.0/
- v1.2.X: https://django-haystack.readthedocs.io/en/v1.2.7/
- v1.1.X: https://django-haystack.readthedocs.io/en/v1.1/
See the changelog
Haystack has a relatively easily-met set of requirements.
- Python 2.7+ or Python 3.3+
- A supported version of Django: https://www.djangoproject.com/download/#supported-versions
Additionally, each backend has its own requirements. You should refer to https://django-haystack.readthedocs.io/en/latest/installing_search_engines.html for more details.
To package and deploy this fork, you'll need to betup a venv, build the lib, and upload to RGG's internal pypi using twine.
Before you begin set the following env variables:
export pypi_host="toolspypi01.tools.ruedev.com"
export PIP_TRUSTED_HOST="${pypi_host}"
export PIP_INDEX_URL="http://${pypi_host}/pypi/"
export PIP_FIND_LINKS="${PIP_INDEX_URL}"
export TWINE_REPOSITORY_URL=$PIP_INDEX_URL
export TWINE_USERNAME=ruelala
export TWINE_PASSWORD=<ask someone for the password>
Then setup your virtual environment and install the packages you'll need:
python -m venv venv . venv/bin/activate pip install --upgrade pip setuptools wheel twine pip install -e .
Finally, package and upload:
python setup.py sdist bdist_wheel twine upload dist/*