Python SDK for HLA-Compass bioinformatics platform - Build powerful modules for immuno-peptidomics analysis
Project description
HLA-Compass Python SDK
The official Python SDK (Python 3.11+) for developing modules and integrations on the HLA-Compass platform.
🚀 Quick Start
# 1. Install
pip install "hla-compass>=2.0.2"
# 2. Authenticate
hla-compass auth login --env dev
# 3. Optionally pin a default organization for publish operations
hla-compass auth use-org 00000000-0000-0000-0000-000000000000 --env dev
# 4. Create
hla-compass init my-module --template no-ui
cd my-module
# 5. Validate and smoke test
hla-compass validate
hla-compass test --input examples/sample_input.json
# 6. Publish (source-upload — the platform builds the container)
hla-compass publish --env dev --scope org --wait
This README is intentionally concise. The canonical module-authoring workflow lives in ../../internal-docs/guides/module-developer/onboarding.md.
📚 Docs Model
- ../../internal-docs/guides/module-developer/onboarding.md: canonical workflow for module authors.
- ../../internal-docs/guides/module-developer/golden-workflow.md: canonical GitHub Actions and OIDC release automation path.
SKILL.mdgenerated byhla-compass init: canonical in-module runtime and API reference for developers and AI assistants.CLAUDE.mdgenerated byhla-compass init: short in-module orientation that points back toSKILL.md.- ../../internal-docs/guides/sdk-developer/index.md: SDK contributor and integration guidance.
🤖 AI-Assisted Development
Every module scaffolded by hla-compass init includes two reference files designed for both human developers and AI coding assistants:
| File | Purpose |
|---|---|
SKILL.md |
Canonical in-module reference. Covers the runtime contract, helper APIs, testing patterns, and current publish commands. Point your AI assistant here first. |
CLAUDE.md |
Concise in-module orientation file. Quick-reference for architecture, key commands, and import conventions. References SKILL.md for details. |
Tip: When using an AI coding assistant (Claude, Copilot, etc.), ensure it reads
SKILL.mdin your module directory. It contains everything needed to build a correct, production-ready HLA-Compass module without guessing at API signatures or platform conventions.
🛠️ CLI Entry Points
| Command | Description |
|---|---|
init |
Scaffold a new module (includes SKILL.md reference guide) |
validate |
Validate module structure and manifest |
test |
Run a containerized module smoke execution |
dev |
Run the interactive local rerun loop |
serve |
Serve the UI template locally |
publish |
Upload module source to the platform for server-side build and registration |
publish-status |
Inspect or watch module intake status |
auth |
Manage platform login and keys |
mcp |
Print MCP schema or run a local MCP server for the current module |
🔧 Local SDK Development
When iterating on the SDK itself, use the HLA_COMPASS_SDK_PATH environment variable
so that dev/test/serve commands pick up your local checkout:
export HLA_COMPASS_SDK_PATH=../sdk/python
hla-compass dev
hla-compass test --input examples/sample_input.json
💎 Key Features
- Module-first CLI: Scaffold, test, and publish with a single toolchain.
- Source-upload publishing:
hla-compass publishuploads source; the platform builds the container, scans it, and registers the module. No Docker, GHCR, or signing keys required. - Data helpers: Storage + data access helpers for module runtimes.
- Local dev loop: Containerized
dev/serve/testflow that matches production.
The CLI uses the active org for the selected environment by default, or --org-id to override it.
Compute Types
Public module manifests use these compute types:
lambdafargatebatch
docker remains accepted only as a legacy publish alias and is normalized to fargate.
Scientific Helper Notes
The convenience helpers get_hla_alleles(), get_hla_frequencies(), and
get_protein_coverage() are implemented as typed REST calls in SDK 3.0.0+.
They no longer switch implicitly between direct database access and REST.
Migration guidance:
- High-level SDK callers now need a reachable HLA-Compass API endpoint for these helpers.
- Module runtimes that need direct DB access should use
ScientificQueryorself.data.sql.query(...)explicitly. - API-key authenticated clients continue to work; the SDK now targets
/v1/api/data/...typed endpoints instead of issuing raw SQL on the caller's behalf. - Plain JWT user sessions now work through
/v1/data/...typed endpoints.
predict_hla_binding() is also implemented, but it is a wrapper over an async
module run and requires a configured binding module id
(HLA_BINDING_MODULE_ID or hla_binding_module_id in SDK config).
📖 Advanced Documentation
- Developer Guide – Top-level developer entrypoint.
- Module Developer Handbook – Canonical module workflow and references.
- API Reference – Repo API reference surface.
🤝 Support & Issues
- Bugs: GitHub Issues
- Discussion: #hla-compass-dev Slack channel
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