Script Calrissian execution

Complete the Kubernetes lab first to prepare the published packed workflow, registry images, matching typed parameters, and shared volume. Run this example in the deployed editor's Python environment:

import json
import subprocess
import tempfile
from pathlib import Path

run = Path(tempfile.mkdtemp(prefix="scripted-", dir="/calrissian"))
(run / "logs").mkdir()
subprocess.run(
    [
        "calrissian", "--max-cores", "2", "--max-ram", "3G",
        "--tmp-outdir-prefix", str(run / "tmp"),
        "--outdir", str(run / "out"),
        "--stdout", str(run / "results.json"),
        "--stderr", str(run / "app.log"),
        "--usage-report", str(run / "usage.json"),
        "--tool-logs-basepath", str(run / "logs"),
        "--pod-nodeselectors", "/etc/calrissian/pod-node-selector.yaml",
        "/calrissian/app-water-bodies-cloud-native.cwl#main",
        "/calrissian/params.yaml",
    ],
    check=True,
)
outputs = json.loads((run / "results.json").read_text())
usage = json.loads((run / "usage.json").read_text())
print(outputs["stac_catalog"]["location"])

Each invocation retains its outputs, logs, and usage report in a separate shared volume directory. Failure raises an exception. The benchmarking notebook uses this same public CLI approach and adds charts and tables.

The historical scripts/calrissian-scripted-execution.py targets older releases and internal runner APIs; use the CLI example above for the current lab.