Skip to main content

Lucene search for DRF and elasticsearch-dsl

Project description

Lucene way search in django

("Django" AND "DRF") OR ("Elasticserach-DSL" AND "Django Rest Elasticsearch")


Installation

Only for Django with DRF:

pip install lucyfer

For Django with DRF and Elasticsearch-dsl with DRF:

pip install lucyfer[full]

Dependencies

lucyfer lucyfer[full]
lucyparser + +
Django + +
djangorestframework + +
django-rest-elasticsearch - +
elasticsearch-dsl - +

Usage Example


Create your search backend class:

from lucyfer.backend import LuceneSearchFilter, DjangoLuceneSearchFilterMixin, ElasticLuceneSearchFilterMixin


class SearchBackend(DjangoLuceneSearchFilterMixin, ElasticLuceneSearchFilterMixin, LuceneSearchFilter):
    pass

Copy reference to SearchBackend class and include it in DEFAULT_FILTER_BACKENDS in settings.py instead of default search backend:

REST_FRAMEWORK = {
    'DEFAULT_FILTER_BACKENDS': ('path.to.SearchBackend',)
}

Create searchsets.py file in your django-application and fill it:

from lucyfer.searchset import DjangoSearchSet
from lucyfer.searchset.fields.django import DjangoCharField
from lucyfer.searchset.searchhelper import DjangoSearchHelperMixin

from .models import MyModel


class MyModelSearchSet(DjangoSearchHelperMixin, DjangoSearchSet):
    some_field = DjangoCharField(sources=["another_field__name"], exclude_sources_from_mapping=True)

    class Meta:
        model = MyModel

    fields_to_exclude_from_mapping = ['field_to_exclude_from_mapping', ]

Include searchset class in your ModelViewSet:

from rest_framework.viewsets import ModelViewSet

from .searchsets import MyModelSearchSet


class MyModelViewSet(ModelViewSet):
    search_class = MyModelSearchSet

You have to save search_fields in your ModelViewSet if you want to save custom search possibility.

Now you can use lucene-way syntax for your view.

Tests execution:

pytest tests/test_* -c tests/pytest.ini 

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

lucyfer-0.3.16.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

lucyfer-0.3.16-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file lucyfer-0.3.16.tar.gz.

File metadata

  • Download URL: lucyfer-0.3.16.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.1

File hashes

Hashes for lucyfer-0.3.16.tar.gz
Algorithm Hash digest
SHA256 7430d4578b87f8fd8381f2fd4d3b60988e1af86cccaea8ce94233883c76e70b0
MD5 286a22132ce3bac4f717b28c7524e2de
BLAKE2b-256 dad12a28b12e4e3ef170dee3f079b3994c10f96e17aaf381eb8ac4eade2178b3

See more details on using hashes here.

File details

Details for the file lucyfer-0.3.16-py3-none-any.whl.

File metadata

  • Download URL: lucyfer-0.3.16-py3-none-any.whl
  • Upload date:
  • Size: 18.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.1

File hashes

Hashes for lucyfer-0.3.16-py3-none-any.whl
Algorithm Hash digest
SHA256 32222b9fd9415814a35651bfecc7b417ddd47fabfc61bf256a348157af6f0dc8
MD5 34bf4d0c59ddd62034dc35367efb3a83
BLAKE2b-256 13717f001f604d394a99593f53674c2a14d4e2300efb8fa031609286372d2dba

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