cogstack-es 0.1.0

ElasticSearch or OpenSearch wrapper for CogStack deployments

Login and search

This project is responsible for logging in and performing a search for Elasticsearch or Opensearch.

Installation

This package is distributed through PyPI and can be installed using one of:

pip install cogstack-es[ES9]  # For Elasticsearch 9
pip install cogstack-es[ES8]  # For Elasticsearch 8
pip install cogstack-es[OS]  # For Opensearch

PS: After installation, the import still remains import cogstack even though the installed package is called cogstack-es.

Login details

You need to get your login details and host from your administrator. This is usually an API key. There is also a mechanism for reading hosts and credentials from environmental variables:

from cogstack import read_from_env, CogStack
hosts, api_key, (username, password) = read_from_env()
# subsequently use one of
cs = CogStack.with_api_key_auth(hosts=hosts, api_key=api_key)
#cs = CogStack.with_basic_auth(hosts=hosts, username=username, password=password)

The read_from_env method will read the data from the following environmental variables:

Environmetnal variable name	Description	Example value
COGSTACK_HOSTS	The host addresses, comma separated	http://localhost:9200,http://localhost:9201
COGSTACK_USERNAME	The username for basic auth	user123
COGSTACK_PASSWORD	The password for basic auth	sup3rsecur3-pw#946
COGSTACK_API_KEY_ID	The API key ID for authentiaction	l0cGtvtlw1lbsyClOm6w
COGSTACK_API_KEY	The unencoded API key for authentiaction with the ID	I01NJf4Z6yvXyXThh1676g
COGSTACK_API_KEY_ENCODED	The encoded API key for authentiaction with just the API key	ZZpwMtW3ky6Tw9KEtfavVzTP0JcrC7iLnVf7zXbqAh70A15VKJwHd5YX3J==

Note: If these fields are left blank then the user will be prompted to enter the details themselves.

If you are unsure about the above information please contact your CogStack system administrator.

How to build a Search query

A core component of cogstack is Elasticsearch which is a search engine built on top of Apache Lucene.

Lucene has a custom query syntax for querying its indexes (Lucene Query Syntax). This query syntax allows for features such as Keyword matching, Wildcard matching, Regular expression, Proximity matching, Range searches.

Full documentation for this syntax is available as part of Elasticsearch query string syntax.