A Python library for extracting AWS Redshift schema metadata as structured dataclasses, designed for AI text-to-SQL applications.
Project description
Welcome to aws_redshift_schema_explorer Documentation
A Python library that provides a simple, structured interface for extracting AWS Redshift schema metadata. This project focuses purely on the extraction layer, offering clean command-pattern APIs to retrieve database, schema, table, view, and column information from Redshift clusters. The extracted metadata is returned as structured dataclasses, making it ideal for downstream applications like AI-powered text-to-SQL systems. The library handles the complexity of querying Redshift system tables and views, providing a clean abstraction for schema exploration without dictating how the metadata should be encoded or consumed.
Note: the sql command used in this project is based on my own research.
Install
aws_redshift_schema_explorer is released on PyPI, so all you need is to:
$ pip install aws-redshift-schema-explorerTo upgrade to latest version:
$ pip install --upgrade aws-redshift-schema-explorerRelease history Release notifications | RSS feed
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