Status: initial draft v0.1, not for production use

GTS Python Library

A minimal, idiomatic Python library for working with GTS (Global Type System) identifiers and JSON/JSON Schema artifacts.

Roadmap

Featureset:

• OP#1 - ID Validation: Verify identifier syntax using regex patterns
• OP#2 - ID Extraction: Fetch identifiers from JSON objects or JSON Schema documents
• OP#3 - ID Parsing: Decompose identifiers into constituent parts (vendor, package, namespace, type, version, etc.)
• OP#4 - ID Pattern Matching: Match identifiers against patterns containing wildcards
• OP#5 - ID to UUID Mapping: Generate deterministic UUIDs from GTS identifiers
• OP#6 - Schema Validation: Validate object instances against their corresponding schemas
• OP#7 - Relationship Resolution: Load all schemas and instances, resolve inter-dependencies, and detect broken references
• OP#8 - Compatibility Checking: Verify that schemas with different MINOR versions are compatible
• OP#8.1 - Backward compatibility checking
• OP#8.2 - Forward compatibility checking
• OP#8.3 - Full compatibility checking
• OP#9 - Version Casting: Transform instances between compatible MINOR versions
• OP#10 - Query Execution: Filter identifier collections using the GTS query language
• OP#11 - Attribute Access: Retrieve property values and metadata using the attribute selector (@)

See details in gts/README.md

Other features:

• Web server - a non-production web-server with REST API for the operations processing and testing
• Tests - re-usable tests suite implemented as REST API request and response validation

Installation

# install in editable mode
pip install -e ./gts

# install from PyPI, not supported yet
# pip install gts

Usage

CLI:

gts <command> <args>

# see available commands
gts --help

Library:

See gts/README.md

License

Apache License 2.0