pandagg 0.1.0

What is it?

pandagg is a Python package providing a simple interface to manipulate ElasticSearch queries and aggregations. Its goal is to make it the easiest possible to explore data indexed in an Elasticsearch cluster.

Some of its interactive features are inspired by pandas library, hence the name pandagg which aims to apply pandas to Elasticsearch aggregations.

pandagg is also greatly inspired by the official high level python client elasticsearch-dsl, and is intended to make it more convenient to deal with deeply nested queries and aggregations.

Features

• flexible aggregation and search queries declaration, with ability to insert clauses at specific points (and not only below last manipulated clause)
• query validation based on provided mapping
• parsing of aggregation results in convenient formats: tree with interactive navigation, csv-like tabular breakdown, pandas dataframe, and others
• cluster indices discovery module, and mapping interactive navigation

Documentation

Full documentation and user-guide are available here on read-the-docs.

Installation

pip install pandagg

Dependencies

Hard dependency: ligthtree

Soft dependency: to parse aggregation results as tabular dataframe: pandas

Disclaimers

It does not ensure retro-compatible with previous versions of elasticsearch (intended to work with >=7). It is part of the roadmap to tag pandagg versions according to the ElasticSearch versions they are related to (ie v7.1.4 would work with Elasticsearch v7.X.X).

It doesn't provide yet all functionalities provided by the official client (for instance ORM like insert/updates, index operations etc..). Primary focus of pandagg was on read operations.

Contributing

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

Roadmap

• improve CI workflow with coverage report
• on aggregation nodes, ensure all allowed fields are listed
• expand functionalities: proper ORM similar to elasticsearch-dsl Document classes, index managing operations
• package versions for different ElasticSearch versions
• composite aggregation iterator
• clean and proper documentation