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The Modular Autonomous Discovery for Science (MADSci) Common Definitions and Utilities.

Project description

MADSci Common

Common types, validators, serializers, utilities, and other flotsam and jetsam used across the MADSci toolkit.

Installation

The MADSci common components are available via the Python Package Index, and can be installed via:

pip install madsci.common

This python package is also included as part of the madsci Docker image.

MADSci Types

The MADSci toolkit uses a variety of "types", implemented as Pydantic Data Models. These data models allow us to easily create, validate, serialize, and de-serialize data structures used throughout the distributed systems. They can easily be serialized to JSON when being sent between system components over REST or stored in JSON-friendly databases like MongoDB or Redis, or to YAML for human-readable and editable definition files.

You can import these types from madsci.common.types, where they are organized by subsystem.

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