Helpers for Rockefeller Archive Center's Elasticsearch implementation.
Project description
rac_es
Helpers for Elasticsearch, including Analyzers and Documents.
Setup
Make sure this library is installed:
$ pip install rac_es
Usage
You can then use rac_es in your Python code by importing it:
import rac_es
What's Here
Analyzers
rac_es includes analyzers which provide custom processing of text fields.
Documents
The Elasticsearch Document definitions in rac_es match the four main object types in the RAC data model: Agents, Collections, Objects and Terms. In addition to these definitions, rac_es provides custom search and save methods for these Documents, including bulk save and delete methods.
Development
This repository contains a configuration file for git pre-commit hooks which help ensure that code is linted before it is checked into version control. It is strongly recommended that you install these hooks locally by installing pre-commit and running pre-commit install.
License
This code is released under an MIT License.
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pythonpublish.yml on RockefellerArchiveCenter/rac_es
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github-hosted -
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