CLI: projects and Data Units

Create, update, inspect, delete, upload, import, attach, and inspect project Data Units and sources.

Outcome: Create, update, inspect, delete, upload, import, attach, and inspect project Data Units and sources.

unitlab project list --json
unitlab project create "Road scenes" --json
unitlab project update PROJECT_ID --name "Road scenes v2"
unitlab project data-units PROJECT_ID --status annotate --json
unitlab project data-unit PROJECT_ID DATA_UNIT_ID --json
unitlab project sources PROJECT_ID --json
unitlab project upload PROJECT_ID ./data --fps 2.0 --json
unitlab project import-cloud PROJECT_ID CLOUD_ID incoming/ --json
unitlab project attach PROJECT_ID --dataset-id DATASET_ID --version 3 --json

Use detach-source only after its preview and downstream impact are understood. Project delete is a state-changing operation; resolve the exact ID first.

Operating contract

Concern	Required behavior
Execution surface	Pinned unitlab==3.0.0 command in the intended Python 3.10+ environment.
Machine contract	Use --json; human-readable output is not an automation interface.
Target resolution	Resolve stable IDs with a read command before a state-changing command.
Success evidence	Exit status, JSON result, returned IDs, and a read-after-write state check.

Failure and recovery boundary

Condition	Response
Authentication or authorization fails	Stop, correct the service identity or access model, rotate exposed credentials, and rerun a read-only check.
Validation or entitlement rejects the operation	Correct the input or entitlement; do not retry an unchanged request.
A request times out	Inspect remote state before repeating a mutation because the server may have accepted it.
Asynchronous processing exceeds its deadline	Preserve the Batch Queue or release ID, continue bounded monitoring, and inspect item-level failures.
Only part of a batch succeeds	Keep successful identifiers, isolate failed rows, and retry only the corrected subset.

Pin and test the production SDK version. Use stable IDs, keep secrets out of logs and command history, and record the correlation ID, target IDs, counts, final state, and redacted error details for material state changes.

---

Explore related Unitlab capabilities: Unitlab’s data curation platform