"""Cross-provider startup preflight. ``check_run_preflight`` aggregates EVERY selected provider's missing-config problems (RunPod is the default substrate; Vast only when configured/pinned) plus the shared Hugging Face dataset-repo requirements, so a single startup error lists everything missing. The per-provider key checks live in ``flash.providers..preflight``. """ from __future__ import annotations import os from flash.providers.runpod.preflight import ( PreflightError, missing_credentials, ) __all__ = [ "PreflightError", "check_run_preflight", ] def _missing_hf_credentials() -> list[str]: """Shared run infra every substrate needs: the HF write token, plus PRIME_API_KEY (the worker ``prime env install``s the run's Hub env regardless of the GPU provider). The HF dataset repo is per-run (``[train] hf_repo``), not an operator var.""" problems: list[str] = [] if not os.environ.get("PRIME_API_KEY"): problems.append( " - PRIME_API_KEY: a Prime Intellect API key; the GPU worker uses it to " "`prime env install` the run's Hub environment (public + private), e.g. " "`export PRIME_API_KEY=pit_...`" ) if not os.environ.get("HF_TOKEN"): problems.append( " - HF_TOKEN: a token with write access to each run's " "`[train] hf_repo`, e.g. `export HF_TOKEN=hf_...`" ) return problems def _preflight_provider_names() -> set[str]: """The providers whose operator config this control plane must satisfy. RunPod is always required (the default substrate); Vast is opt-in (preflighted only when VAST_API_KEY signals intent).""" names = {"runpod"} # always-on default substrate if os.environ.get("VAST_API_KEY"): names.add("vast") # opt-in: a partial vast config signals intent return names def check_run_preflight(require_hf: bool = True) -> None: """Validate operator config across the configured providers; raise on missing. Only the providers this control plane actually uses are checked: RunPod's requirements (RUNPOD_API_KEY + the shared PRIME_API_KEY/HF_TOKEN) are always checked, and a configured Vast key (VAST_API_KEY) adds its own check. The HF dataset repo is per-run (``[train] hf_repo``), not an operator var. """ selected = _preflight_provider_names() problems: list[str] = [] # The HF write token is SHARED run infra (every substrate streams artifacts through HF), # so it is checked once regardless of which providers are selected — a Vast-only plane # still needs it. Each provider check is asked for its keys only (require_hf=False) so HF # isn't double-reported. The HF dataset repo itself is per-run (``[train] hf_repo``). if "runpod" in selected: problems += missing_credentials(require_hf=False) if "vast" in selected: from flash.providers.vast.preflight import missing_credentials as vast_missing problems += vast_missing(require_hf=False) if require_hf: problems += _missing_hf_credentials() if problems: raise PreflightError( "the Flash control plane is missing required operator configuration:\n" + "\n".join(problems) + "\n\nSet these on the control-plane host." )