ray/release/alerts/xgboost_tests.py
2022-02-02 12:56:42 -08:00

72 lines
2 KiB
Python

import datetime
from typing import Dict, Optional
def handle_result(
created_on: datetime.datetime,
category: str,
test_suite: str,
test_name: str,
status: str,
results: Dict,
artifacts: Dict,
last_logs: str,
team: str,
) -> Optional[str]:
assert test_suite == "xgboost_tests"
time_taken = results.get("time_taken", float("inf"))
num_terminated = results.get("trial_states", {}).get("TERMINATED", 0)
if test_name in ["distributed_api_test", "ft_small_elastic", "ft_small_nonelastic"]:
if not status == "finished":
return f"Test script did not finish successfully ({status})."
return None
elif test_name.startswith("tune_"):
msg = ""
if test_name == "tune_small":
target_terminated = 4
target_time = 90
elif test_name == "tune_4x32":
target_terminated = 4
target_time = 120
elif test_name == "tune_32x4":
target_terminated = 32
target_time = 600
else:
return None
if num_terminated < target_terminated:
msg += (
f"Some trials failed "
f"(num_terminated={num_terminated} < {target_terminated}). "
)
if time_taken > target_time:
msg += (
f"Took too long to complete "
f"(time_taken={time_taken} > {target_time}). "
)
return msg or None
else:
# train scripts
if test_name == "train_small":
# Leave a couple of seconds for ray connect setup
# (without connect it should finish in < 30)
target_time = 45
elif test_name == "train_moderate":
target_time = 60
elif test_name == "train_gpu":
target_time = 40
else:
return None
if time_taken > target_time:
return (
f"Took too long to complete "
f"(time_taken={time_taken:.2f} > {target_time}). "
)
return None