Add local pipeline run support to the CLI#1039
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Introduce local pipeline execution that bypasses the Clarifai API and submits Argo Workflows directly to a Minikube/K3s/kind cluster. New modules in clarifai/runners/pipelines/local/: - preflight.py: validates Docker, kubectl, Argo CRDs, cluster type detection - image_loader.py: builds step Docker images and loads into local cluster - spec_adapter.py: converts templateRef to inline templates for local execution - secrets.py: creates K8s Secrets with Clarifai env vars - submitter.py: submits Argo Workflow CR via kubectl - log_streamer.py: streams pod logs in real-time with step prefixes - runner.py: orchestrates the full local pipeline run CLI changes: - Add --local and --namespace flags to clarifai pipeline run - When --local is set, skip all API calls and run locally Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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| if result.returncode != 0: | ||
| raise RuntimeError(f'Failed to create secret {secret_name}: {result.stderr}') | ||
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| logger.info(f'Created K8s secret {secret_name} in namespace {namespace}.') |
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Summary
clarifai pipeline run --localfor running pipeline workflows on a local Kubernetes clusterTesting
clarifai pipeline run --local /tmp/test-local-pipeline