Elasticsearch and OpenSearch compatibility library.
Project description
AnySearch is a Elasticsearch and OpenSearch compatibility library. It provides utility functions for smoothing over the differences between the Python libraries with the goal of writing Python code that is compatible on both (including the *search, *search-dsl and django-*search-dsl integration packages).
See the documentation for more information on what is provided.
Documentation
Documentation is available on Read the Docs.
Prerequisites
Python 3.6, 3.7, 3.8, 3.9 and 3.10.
Installation
Install latest stable version from PyPI:
pip install anysearch
or latest stable version from GitHub:
pip install https://github.com/barseghyanartur/anysearch/archive/main.tar.gz
Configuration
AnySearch automatically detects whether you use Elasticsearch or OpenSearch by looking at which packages are installed. However, if you have both packages installed, you can instruct AnySearch which one do you actually want to use. The way to do that is to set the ANYSEARCH_PREFERRED_BACKEND environment variable to either Elasticsearch or OpenSearch.
For Elasticsearch:
import os
os.environ.setdefault("ANYSEARCH_PREFERRED_BACKEND", "Elasticsearch")
For OpenSearch:
import os
os.environ.setdefault("ANYSEARCH_PREFERRED_BACKEND", "OpenSearch")
Usage
elasticsearch/opensearch
How-to
With elasticsearch you would do:
from elasticsearch import Connection, Elasticsearch
With opensearch you would do:
from opensearch_py import Connection, OpenSearch
With anysearch you would change that to:
from anysearch.search import Connection, AnySearch
elasticsearch-dsl/opensearch-dsl
How-to
With elasticsearch-dsl you would do:
from elasticsearch_dsl import AggsProxy, connections, Keyword
from elasticsearch_dsl.document import Document
With opensearch-dsl you would do:
from opensearch_dsl import AggsProxy, connections, Keyword
from opensearch_dsl.document import Document
With anysearch you would change that to:
from anysearch.search_dsl import AggsProxy, connections, Keyword
from anysearch.search_dsl.document import Document
django-elasticsearch-dsl/django-opensearch-dsl
How-to
With django-elasticsearch-dsl you would do:
from django_elasticsearch_dsl import fields, registry
from django_elasticsearch_dsl.documents import Document
from django_elasticsearch_dsl.fields import TextField
With opensearch-dsl you would do:
from django_opensearch_dsl import fields, registry
from django_opensearch_dsl.documents import Document
from django_opensearch_dsl.fields import TextField
With anysearch you would change that to:
from anysearch.django_search_dsl import fields, registry
from anysearch.django_search_dsl.documents import Document
from anysearch.django_search_dsl.fields import TextField
Configuration
INSTALLED_APPS
Both django-elasticsearch-dsl and django-opensearch-dsl will need to be added to your INSTALLED_APPS list.
With django-elasticsearch-dsl you would do:
INSTALLED_APPS = (
...
"django_elasticsearch_dsl",
...
)
With django-opensearch-dsl you would do:
INSTALLED_APPS = (
...
"django_opensearch_dsl",
...
)
With anysearch you would change that to:
INSTALLED_APPS = (
...
"anysearch.django_search_dsl.DjangoAnySearchConfig",
...
)
Tuning
If you intent to support both Elasticsearch and OpenSearch, you could specify your settings as follows:
# Elasticsearch configuration
ELASTICSEARCH_DSL = {
'default': {
'hosts': 'localhost:9200',
'timeout': 30,
},
}
OPENSEARCH_DSL = ELASTICSEARCH_DSL
ELASTICSEARCH_DSL_SIGNAL_PROCESSOR = "anysearch.django_search_dsl.RealTimeSignalProcessor"
OPENSEARCH_DSL_SIGNAL_PROCESSOR = ELASTICSEARCH_DSL_SIGNAL_PROCESSOR
Testing
Project is covered with tests.
To test with all supported Python versions type:
tox
To test against specific environment, type:
tox -e py39
To test just your working environment type:
pytest
To run a single test in your working environment type:
pytest test_anysearch.py
To run a single test class in a given test module in your working environment type:
pytest test_anysearch.py::DjangoSearchDSLTestCase
It’s assumed that you have either elasticsearch-dsl or opensearch-dsl installed. If not, install the requirements first.
Writing documentation
Keep the following hierarchy.
=====
title
=====
header
======
sub-header
----------
sub-sub-header
~~~~~~~~~~~~~~
sub-sub-sub-header
^^^^^^^^^^^^^^^^^^
sub-sub-sub-sub-header
++++++++++++++++++++++
sub-sub-sub-sub-sub-header
**************************
License
MIT
Support
For any security issues contact me at the e-mail given in the Author section. For overall issues, go to GitHub.
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