2026-07-23 05:47:43 +00:00
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from __future__ import annotations
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import json
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import tempfile
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2026-07-23 08:36:59 +00:00
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import shutil
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2026-07-23 05:47:43 +00:00
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import unittest
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from pathlib import Path
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2026-07-23 08:36:59 +00:00
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import torch
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2026-07-23 05:47:43 +00:00
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from airfrans_frontier.remote.artifacts import verify_artifacts
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from airfrans_frontier.remote.cli import _classify_artifacts, _stage_resume_checkpoint
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from airfrans_frontier.remote.config import load_remote_run_config
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from airfrans_frontier.remote.skypilot import render_skypilot_yaml
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from airfrans_frontier.remote.vast import VastOffer, choose_offer
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class RemoteRunConfigTests(unittest.TestCase):
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def test_loads_remote_smoke_config(self) -> None:
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config = load_remote_run_config("configs/remote_smoke.toml")
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self.assertEqual(config.provider.kind, "vastai")
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self.assertEqual(config.provider.gpu.name, "RTX 4090")
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self.assertEqual(config.job.artifact_dir.as_posix(), "artifacts/current_run")
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self.assertIn("checkpoint_latest.pt", config.artifacts.required)
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class VastSelectionTests(unittest.TestCase):
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def test_selection_filters_bad_hosts_and_drops_suspiciously_cheap_tail(self) -> None:
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config = load_remote_run_config("configs/remote_smoke.toml")
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offers = [
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offer(1, price=0.10, host=1),
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offer(2, price=0.20, host=2),
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offer(3, price=0.30, host=3),
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offer(4, price=0.40, host=4),
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offer(5, price=0.50, host=59017),
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offer(6, price=0.25, host=6, geo="CN"),
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offer(7, price=0.26, host=7, verification="deverified"),
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]
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result = choose_offer(offers, config, query={"test": True})
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# Four reachable RTX 4090 offers remain; drop_cheap_frac=0.30 drops floor(1.2)=1 cheapest.
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self.assertEqual(result.selected_offer_id, 2)
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self.assertEqual(result.candidate_count, 7)
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self.assertEqual(result.survivor_count, 3)
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def test_rendered_yaml_injects_selected_offer(self) -> None:
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config = load_remote_run_config("configs/remote_smoke.toml")
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result = choose_offer([offer(123, price=0.30, host=22), offer(124, price=0.40, host=23)], config, query={})
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yaml = render_skypilot_yaml(config, result, run_id="airfrans-test")
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self.assertIn("selected_offer_id: 123", yaml)
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self.assertNotIn("sky launch", yaml)
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self.assertIn("remote-run smoke-train", yaml)
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self.assertIn("configs/aggressive_smoke.toml", yaml)
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def test_rendered_yaml_can_pass_resume_checkpoint(self) -> None:
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config = load_remote_run_config("configs/remote_smoke.toml")
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result = choose_offer([offer(123, price=0.30, host=22), offer(124, price=0.40, host=23)], config, query={})
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yaml = render_skypilot_yaml(
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config,
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result,
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run_id="airfrans-test",
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resume_checkpoint=".airfrans_resume/airfrans-test/checkpoint_latest.pt",
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)
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self.assertIn("AIRFRANS_RESUME_CHECKPOINT: .airfrans_resume/airfrans-test/checkpoint_latest.pt", yaml)
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class ArtifactVerificationTests(unittest.TestCase):
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def test_verify_artifacts_requires_contract_files_and_writes_manifest(self) -> None:
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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_write_contract_artifacts(root, success=True)
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manifest = verify_artifacts(root)
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self.assertGreaterEqual(manifest["file_count"], 8)
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self.assertTrue((root / "artifact_manifest.json").is_file())
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self.assertTrue((root / "checksums.txt").is_file())
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def test_verify_artifacts_accepts_failure_report_terminal_state(self) -> None:
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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_write_contract_artifacts(root, success=False)
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(root / "failure_report.json").write_text(json.dumps({"error_type": "NonFiniteLoss"}) + "\n")
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manifest = verify_artifacts(root)
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self.assertGreaterEqual(manifest["file_count"], 7)
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def test_classifies_and_stages_restart_checkpoint(self) -> None:
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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self.assertEqual(_classify_artifacts(root), "incomplete")
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_write_contract_artifacts(root, success=False)
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self.assertEqual(_classify_artifacts(root), "restartable")
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staged = _stage_resume_checkpoint(root, "test-run")
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self.assertIsNotNone(staged)
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assert staged is not None
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self.assertTrue(staged.is_file())
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self.assertEqual(staged.as_posix(), ".airfrans_resume/test-run/checkpoint_latest.pt")
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shutil.rmtree(".airfrans_resume")
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def _write_contract_artifacts(root: Path, *, success: bool) -> None:
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(root / "config.toml").write_text("[run]\nname = 'test'\n")
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(root / "metrics.jsonl").write_text(json.dumps({"step": 0}) + "\n")
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(root / "latest_metrics.json").write_text(json.dumps({"step": 0}) + "\n")
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(root / "heartbeat.json").write_text(json.dumps({"phase": "training"}) + "\n")
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checkpoint = {
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"schema_version": 1,
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"step": 0,
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"model_state_dict": {},
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"optimizer_state_dict": {},
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"normalization": {},
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}
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torch.save(checkpoint, root / "checkpoint_latest.pt")
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torch.save(checkpoint, root / "checkpoint_best.pt")
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if success:
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torch.save(checkpoint, root / "checkpoint_final.pt")
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(root / "final_metrics.json").write_text(json.dumps({"loss": 1.0}) + "\n")
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def offer(
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offer_id: int,
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*,
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price: float,
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host: int,
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geo: str = "US",
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verification: str = "verified",
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) -> VastOffer:
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return VastOffer(
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id=offer_id,
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gpu_name="RTX 4090",
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dph_total=price,
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gpu_ram=24_000,
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geolocation=geo,
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inet_down_cost_per_tb=0.0,
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inet_up_cost_per_tb=0.0,
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host_id=host,
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verification=verification,
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reliability2=0.99,
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cuda_max_good=12.8,
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direct_port_count=1,
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inet_down=500.0,
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inet_up=100.0,
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verified=True,
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)
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if __name__ == "__main__":
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unittest.main()
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