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# /// script | ||
# requires-python = ">=3.12" | ||
# dependencies = [] | ||
# /// | ||
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import argparse | ||
import asyncio | ||
import json | ||
from dataclasses import dataclass | ||
from datetime import datetime, timedelta | ||
from pathlib import Path | ||
from typing import Optional | ||
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from ray.job_submission import JobStatus, JobSubmissionClient | ||
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def parse_env_var_str(env_var_str: str) -> dict: | ||
iter = map( | ||
lambda s: s.strip().split("="), | ||
filter(lambda s: s, env_var_str.split(",")), | ||
) | ||
return {k: v for k, v in iter} | ||
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async def print_logs(logs): | ||
async for lines in logs: | ||
print(lines, end="") | ||
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async def wait_on_job(logs, timeout_s): | ||
await asyncio.wait_for(print_logs(logs), timeout=timeout_s) | ||
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@dataclass | ||
class Result: | ||
query: int | ||
duration: timedelta | ||
error_msg: Optional[str] | ||
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def submit_job( | ||
working_dir: Path, | ||
entrypoint_script: str, | ||
entrypoint_args: str, | ||
env_vars: str, | ||
enable_ray_tracing: bool, | ||
): | ||
env_vars_dict = parse_env_var_str(env_vars) | ||
if enable_ray_tracing: | ||
env_vars_dict["DAFT_ENABLE_RAY_TRACING"] = "1" | ||
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client = JobSubmissionClient(address="http://localhost:8265") | ||
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if entrypoint_args.startswith("[") and entrypoint_args.endswith("]"): | ||
# this is a json-encoded list of strings; parse accordingly | ||
list_of_entrypoint_args: list[str] = json.loads(entrypoint_args) | ||
else: | ||
list_of_entrypoint_args: list[str] = [entrypoint_args] | ||
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results = [] | ||
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for index, args in enumerate(list_of_entrypoint_args): | ||
entrypoint = f"DAFT_RUNNER=ray python {entrypoint_script} {args}" | ||
print(f"{entrypoint=}") | ||
start = datetime.now() | ||
job_id = client.submit_job( | ||
entrypoint=entrypoint, | ||
runtime_env={ | ||
"working_dir": working_dir, | ||
"env_vars": env_vars_dict, | ||
}, | ||
) | ||
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asyncio.run(wait_on_job(client.tail_job_logs(job_id), timeout_s=60 * 30)) | ||
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status = client.get_job_status(job_id) | ||
assert status.is_terminal(), "Job should have terminated" | ||
end = datetime.now() | ||
duration = end - start | ||
error_msg = None | ||
if status != JobStatus.SUCCEEDED: | ||
job_info = client.get_job_info(job_id) | ||
error_msg = job_info.message | ||
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result = Result(query=index, duration=duration, error_msg=error_msg) | ||
results.append(result) | ||
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print(f"{results=}") | ||
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if __name__ == "__main__": | ||
parser = argparse.ArgumentParser() | ||
parser.add_argument("--working-dir", type=Path, required=True) | ||
parser.add_argument("--entrypoint-script", type=str, required=True) | ||
parser.add_argument("--entrypoint-args", type=str, required=True) | ||
parser.add_argument("--env-vars", type=str, required=True) | ||
parser.add_argument("--enable-ray-tracing", action="store_true") | ||
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args = parser.parse_args() | ||
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if not (args.working_dir.exists() and args.working_dir.is_dir()): | ||
raise ValueError("The working-dir must exist and be a directory") | ||
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entrypoint: Path = args.working_dir / args.entrypoint_script | ||
if not (entrypoint.exists() and entrypoint.is_file()): | ||
raise ValueError("The entrypoint script must exist and be a file") | ||
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submit_job( | ||
working_dir=args.working_dir, | ||
entrypoint_script=args.entrypoint_script, | ||
entrypoint_args=args.entrypoint_args, | ||
env_vars=args.env_vars, | ||
enable_ray_tracing=args.enable_ray_tracing, | ||
) |
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