5.3.0 (2017-05-18)

  • fix constant score query definition
  • DateHistogramFacet now works with datetime objects
  • respect __ in field names when creating queries from dict

5.2.0 (2017-03-26)

  • make sure all response structers are pickleable (for caching)
  • adding exclude to Search
  • fix metric aggregation deserialization
  • expose all index-level APIs on Index class
  • adding delete to Search which calls delete_by_query API

5.1.0 (2017-01-08)

  • Renamed Result and ResultMeta to Hit and HitMeta respectively
  • Response now stores Search which it gets as first arg to __init__
  • aggregation results are now wrapped in classes and properly deserialized
  • Date fields now allow for numerical timestamps in the java format (in millis)
  • Added API documentation
  • replaced generated classes with manually created

5.0.0 (2016-11-04)

Version compatible with elasticsearch 5.0.

Breaking changes:

  • String field type has been deprecated in favor of Text and Keyword
  • fields method has been removed in favor of source filtering

2.2.0 (2016-11-04)

  • accessing missing string fields no longer returnd '' but returns None instead.
  • fix issues with bool’s | and & operators and minimum_should_match

2.1.0 (2016-06-29)

  • inner_hits are now also wrapped in Response
  • + operator is deprecated, .query() now uses & to combine queries
  • added mget method to DocType
  • fixed validation for “empty” values like '' and []

2.0.0 (2016-02-18)

Compatibility with Elasticsearch 2.x:

  • Filters have been removed and additional queries have been added. Instead of F objects you can now use Q.
  • Search.filter is now just a shortcut to add queries in filter context
  • support for pipeline aggregations added

Backwards incompatible changes:

  • list of analysis objects and classes was removed, any string used as tokenizer, char or token filter or analyzer will be treated as a builtin
  • internal method Field.to_python has been renamed to deserialize and an optional serialization mechanic for fields has been added.
  • Custom response class is now set by response_class method instead of a kwarg to Search.execute

Other changes:

  • FacetedSearch now supports pagination via slicing

0.0.10 (2016-01-24)

  • Search can now be iterated over to get back hits
  • Search now caches responses from Elasticsearch
  • DateHistogramFacet now defaults to returning empty intervals
  • Search no longer accepts positional parameters
  • Experimental MultiSearch API
  • added option to talk to _suggest endpoint (execute_suggest)

0.0.9 (2015-10-26)

  • FacetedSearch now uses its own Facet class instead of built in aggregations

0.0.8 (2015-08-28)

  • 0.0.5 and 0.0.6 was released with broken .tar.gz on pypi, just a build fix

0.0.5 (2015-08-27)

  • added support for (index/search)_analyzer via #143, thanks @wkiser!
  • even keys accessed via ['field'] on AttrDict will be wrapped in Attr[Dict|List] for consistency
  • Added a convenient option to specify a custom doc_class to wrap inner/Nested documents
  • blank option has been removed
  • AttributeError is no longer raised when accessing an empty field.
  • added required flag to fields and validation hooks to fields and (sub)documents
  • removed get method from AttrDict. Use getattr(d, key, default) instead.
  • added FacetedSearch for easy declarative faceted navigation

0.0.4 (2015-04-24)

  • Metadata fields (such as id, parent, index, version etc) must be stored (and retrieved) using the meta attribute (#58) on both Result and DocType objects or using their underscored variants (_id, _parent etc)
  • query on Search can now be directly assigned
  • suggest method added to Search
  • Search.doc_type now accepts DocType subclasses directly
  • method renamed to field for consistency
  • Date field now raises ValidationException on incorrect data

0.0.3 (2015-01-23)

Added persistence layer (Mapping and DocType), various fixes and improvements.

0.0.2 (2014-08-27)

Fix for python 2

0.0.1 (2014-08-27)

Initial release.