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46 lines
1.7 KiB
Plaintext
46 lines
1.7 KiB
Plaintext
component AppRunner {
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goal {
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Pull and run containerized RIA applications, auto-configuring hardware access from image labels.
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Own the ria-app CLI over a container engine.
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}
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interface {
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AppCommands {
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CLI ria-app with subcommands: pull, run, list, stop, logs, and configure; a global --sudo flag.
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}
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RunBehavior {
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run auto-pulls the image if absent and derives container flags from the image's ria.* labels.
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}
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}
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}
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expand AppRunner {
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logic {
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The engine is the first of docker or podman on PATH, optionally sudo-prefixed.
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Image references resolve against a configured registry and namespace; fully-qualified references pass through.
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Hardware flags are derived from ria.profile and ria.hardware labels: GPU access when an NVIDIA profile and runtime are present, USB device passthrough for USB SDRs, and host networking for USRP, ThinkRF, and Pluto; flags can be overridden or dry-run.
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}
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constraints {
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There is no Python SDK; it is a subprocess wrapper and exits with an error if no container engine is found.
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Config is AppConfig (registry, namespace, sudo) at ~/.ria/toolkit.json with environment-variable fallbacks.
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}
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decisions {
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SubprocessWrapper {
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Decision: ria-app shells out to a container engine (the first of docker or podman on PATH) rather than exposing a Python SDK or using an engine client library.
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Scope: Governs how the runner controls containers.
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Consequences: A container engine must be present on PATH and the tool exits with an error when none is found; there is no in-process programmatic API for callers.
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Trade-offs: Reuses the installed engine and its existing auth and configuration directly at the cost of no library-level integration point.
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}
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}
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}
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