chibi-elasticsearch 1.1.0

Package with templates and snippets for elasticsearch

chibi_elasticsearch

chibi_elasticsearch is a lightweight Python package that provides templates and reusable snippets for working with Elasticsearch. It is intended to simplify common tasks such as creating models class.

The package is designed to work with elasticsearch_dsl.

• Free software: WTFPL

• Documentation: https://chibi-elasticsearch.readthedocs.io.

basic use

models

from chibi_elasticsearch.models import Chibi_model
from chibi_elasticsearch.analyzers import name_space, name
from chibi_elasticsearch.snippet import create_index_if_not_exists
from elasticsearch_dsl import field


class Person( Chibi_model ):
        name = field.Text(
                analyzer=name, multi=True,
                fields={
                        'space': field.Text( analyzer=name_space, multi=True ),
                        'keyword': field.Keyword( multi=True ),
                }
        )

create_index_if_not_exists( Person )

some_one = Person( name="john smith" )
some_one.save()
print( "name:", some_one.name )
print( "create_at:", some_one.create_at )
print( "update_at:", some_one.update_at )

review config

from chibi_elasticsearch.config import load_elasticsearch_config, review_elasticsearch_config
from chibi.config import configuration

configuration.elasticsearch.connections.default.hosts = 'localhost'
configuration.elasticsearch.connections.default.port = 80
configuration.loggers[ 'elasticsearch' ].level = "WARNING"

# Load connections (e.g., from chibi config)
load_elasticsearch_config()

# Check configuration
if not review_elasticsearch_config():
        raise RuntimeError("Elasticsearch not configured correctly")

History

1.1.0 (2026-03-03)

• add logic for build test index using chibi config

  from chibi.config import configuration
  configuration.elasticsearch.test_app = True
  assert build_index_name( 'hello' ) == 'test__hello'

1.0.0 (2026-03-03)

• definition for base model and analyzers

• configuration handling for connections

• analyzers ready for text processing

• basic model with automatic created_at and updated_at fields

0.0.1 (2026-03-03)

• First release on PyPI.