Skip to main content

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.

PyPI Version Supported Python versions Build Status Documentation Status MIT Coverage

Documentation

Documentation is available on Read the Docs.

Prerequisites

  • Python 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 and 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 write a reusable app that should work with 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.

Author

Artur Barseghyan <artur.barseghyan@gmail.com>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anysearch-0.1.5.tar.gz (12.1 kB view details)

Uploaded Source

Built Distribution

anysearch-0.1.5-py2.py3-none-any.whl (8.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file anysearch-0.1.5.tar.gz.

File metadata

  • Download URL: anysearch-0.1.5.tar.gz
  • Upload date:
  • Size: 12.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anysearch-0.1.5.tar.gz
Algorithm Hash digest
SHA256 feb6117cca69a2dfe4bae2f68e0af4a1fbd3e79072a64363fc19934d65ee01af
MD5 dd82456bd613635676e38bf34a0c14d6
BLAKE2b-256 eeac6ca29d6bfe605d10393591093184f3086025f3c3270d5708b62ea693e3d9

See more details on using hashes here.

File details

Details for the file anysearch-0.1.5-py2.py3-none-any.whl.

File metadata

  • Download URL: anysearch-0.1.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for anysearch-0.1.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 27b74f608f753b0c1b443d07a39f3006a0f4940aa840e0d21af4d5e1174a05e7
MD5 86010fb19cc4a98ca52aee39782ca975
BLAKE2b-256 9b089675e9da2bcd1f88a8eb776391616aa531bc59e0a87d028e48ea88f2fce7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page