Codex
62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
from __future__ import annotations
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import base64
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import hashlib
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from crypto_spot_bot.training_coordination import TrainingCoordinator
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def test_training_coordinator_claims_and_completes_job(tmp_path) -> None:
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coordinator = TrainingCoordinator(tmp_path)
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requested = coordinator.request_retrain({"source": "android"})
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job_id = requested["job"]["id"]
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heartbeat = coordinator.heartbeat({"worker_id": "win-1", "name": "DESKTOP-TMFDL0H"})
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claimed = coordinator.claim({"worker_id": "win-1", "name": "DESKTOP-TMFDL0H"})
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assert requested["queued"] is True
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assert heartbeat["status"]["agent_online"] is True
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assert claimed["claimed"] is True
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assert claimed["job"]["id"] == job_id
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assert coordinator.status()["active_job"]["status"] == "running"
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completed = coordinator.complete(job_id, {"success": True, "message": "ok"})
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assert completed["job"]["status"] == "completed"
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assert coordinator.status()["active_job"] is None
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def test_training_coordinator_accepts_chunked_artifact_upload(tmp_path) -> None:
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coordinator = TrainingCoordinator(tmp_path)
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job = coordinator.request_retrain({"source": "test"})["job"]
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payload = b'{"type":"pytorch_recurrent_forecaster","symbols":{}}\n'
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sha256 = hashlib.sha256(payload).hexdigest()
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first = payload[:20]
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second = payload[20:]
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part_1 = coordinator.save_artifact_chunk(
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job["id"],
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{
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"name": "lstm_forecaster.json",
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"index": 0,
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"total": 2,
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"sha256": sha256,
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"data_base64": base64.b64encode(first).decode("ascii"),
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},
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)
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part_2 = coordinator.save_artifact_chunk(
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job["id"],
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{
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"name": "lstm_forecaster.json",
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"index": 1,
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"total": 2,
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"sha256": sha256,
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"data_base64": base64.b64encode(second).decode("ascii"),
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},
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)
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assert part_1["complete"] is False
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assert part_2["complete"] is True
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assert (tmp_path / "lstm_forecaster.json").read_bytes() == payload
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assert coordinator.status()["latest_job"]["artifacts"][0]["sha256"] == sha256
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