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Clarify transient training progress upload errors

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Codex
2026-06-29 21:21:09 +03:00
parent 9f47c04235
commit 0cfd89980e
1 changed files with 10 additions and 4 deletions
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tools/windows_training_agent.py
+10 -4
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@@ -237,10 +237,16 @@ def safe_report_progress(
message: str, message: str,
log_path: Path, log_path: Path,
) -> None: ) -> None:
try: last_error: Exception | None = None
report_progress(args, job_id, status, phase, progress_percent, message) for attempt in range(1, 4):
except Exception as exc: # noqa: BLE001 - keep the local training process alive. try:
log(log_path, f"Progress report failed: {exc}") report_progress(args, job_id, status, phase, progress_percent, message)
return
except Exception as exc: # noqa: BLE001 - keep the local training process alive.
last_error = exc
if attempt < 3:
time.sleep(attempt * 2)
log(log_path, f"Temporary progress upload error; training continues: {last_error}")
def api_json(args: argparse.Namespace, path: str, payload: dict[str, Any], timeout: int = 30) -> dict[str, Any]: def api_json(args: argparse.Namespace, path: str, payload: dict[str, Any], timeout: int = 30) -> dict[str, Any]: