openbind-docking / data /scripts /submit_analysis_jobs.py
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#!/usr/bin/env python3
"""Submit docking-analysis jobs for all configured method/mode combinations."""
from __future__ import annotations
import argparse
import shlex
import subprocess
from pathlib import Path
from typing import Any
import yaml
SCRIPT_DIR = Path(__file__).resolve().parent
REPO_ROOT = SCRIPT_DIR.parent
ANALYSIS_SCRIPT = SCRIPT_DIR / "analyse_docking.py"
DEFAULT_SOFTWARE_SETTINGS = REPO_ROOT / "configs" / "docking" / "software_settings.yaml"
def load_yaml(path: Path) -> dict[str, Any]:
"""Load a YAML file and require a mapping at the top level."""
if not path.is_file():
raise FileNotFoundError(f"YAML file not found: {path}")
with path.open("r", encoding="utf-8") as handle:
data = yaml.safe_load(handle)
if not isinstance(data, dict):
raise ValueError(f"YAML root must be a mapping: {path}")
return data
def configured_runs(config: dict[str, Any]) -> list[tuple[str, str]]:
"""Return all method/mode combinations declared by the docking config."""
modes = config.get("modes")
methods = config.get("methods")
if (
not isinstance(modes, list)
or not modes
or not all(isinstance(x, str) for x in modes)
):
raise ValueError("Docking config 'modes' must be a non-empty list of strings")
if not isinstance(methods, dict) or not methods:
raise ValueError("Docking config 'methods' must be a non-empty mapping")
return [(str(method), mode) for method in methods for mode in modes]
def cpu_profile(settings: dict[str, Any]) -> dict[str, Any]:
"""Return the CPU Slurm profile and validate its worker count."""
profiles = settings.get("profiles")
if not isinstance(profiles, dict) or not isinstance(profiles.get("cpu"), dict):
raise ValueError("Software settings must define profiles.cpu")
profile = profiles["cpu"]
cpus = profile.get("cpus-per-task")
if not isinstance(cpus, int) or cpus < 1:
raise ValueError("profiles.cpu.cpus-per-task must be a positive integer")
return profile
def sbatch_command(
profile: dict[str, Any],
job_name: str,
output_log: Path,
wrap_command: list[str],
) -> list[str]:
"""Build one generic ``sbatch`` command from a profile mapping."""
command = ["sbatch"]
for key, value in profile.items():
if value in (None, "", False):
continue
command.append(f"--{key}" if value is True else f"--{key}={value}")
command += [
f"--job-name={job_name}",
f"--output={output_log}",
f"--wrap={shlex.join(wrap_command)}",
]
return command
def build_parser() -> argparse.ArgumentParser:
"""Build the command-line parser."""
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"docking_dir",
type=Path,
help="Docking output directory containing method_mode run directories.",
)
parser.add_argument(
"--config", required=True, type=Path, help="Docking experiment YAML file."
)
parser.add_argument(
"--software-settings",
type=Path,
default=DEFAULT_SOFTWARE_SETTINGS,
help=f"Software and Slurm YAML (default: {DEFAULT_SOFTWARE_SETTINGS}).",
)
parser.add_argument(
"--output-dir",
type=Path,
default=None,
help="Analysis root (default: sibling analysis directory).",
)
parser.add_argument(
"--dry-run",
action="store_true",
help="Print sbatch commands without submitting.",
)
return parser
def main() -> None:
"""Submit one analysis job for every available configured docking run."""
args = build_parser().parse_args()
if not ANALYSIS_SCRIPT.is_file():
raise FileNotFoundError(f"Analysis script not found: {ANALYSIS_SCRIPT}")
docking_dir = args.docking_dir.expanduser().resolve()
if not docking_dir.is_dir():
raise FileNotFoundError(f"Docking directory not found: {docking_dir}")
config = load_yaml(args.config.expanduser().resolve())
settings = load_yaml(args.software_settings.expanduser().resolve())
profile = cpu_profile(settings)
workers = int(profile["cpus-per-task"])
analysis_dir = (
args.output_dir.expanduser().resolve()
if args.output_dir is not None
else docking_dir.parent / "analysis"
)
log_dir = analysis_dir / "logs"
log_dir.mkdir(parents=True, exist_ok=True)
runs = configured_runs(config)
available_runs = []
missing_runs = []
for method, mode in runs:
run_dir = docking_dir / f"{method}_{mode}"
if run_dir.is_dir():
available_runs.append((method, mode, run_dir))
else:
missing_runs.append(run_dir)
if missing_runs:
print(
"Warning: configured docking run directories are missing "
"and will be skipped:",
flush=True,
)
for run_dir in missing_runs:
print(f" {run_dir}", flush=True)
if not available_runs:
raise FileNotFoundError("None of the configured docking run directories exist.")
submitted = 0
failed = 0
for method, mode, run_dir in available_runs:
job_name = f"ana_{method}_{mode}"
wrap = [
"python",
"-u",
str(ANALYSIS_SCRIPT),
str(run_dir),
"--method",
method,
"--mode",
mode,
"--output-dir",
str(analysis_dir),
"--num-workers",
str(workers),
]
command = sbatch_command(
profile=profile,
job_name=job_name,
output_log=log_dir / f"{job_name}-%j.out",
wrap_command=wrap,
)
if args.dry_run:
print(shlex.join(command))
submitted += 1
continue
try:
subprocess.run(command, check=True)
except subprocess.CalledProcessError as exc:
failed += 1
print(
f"Failed to submit {job_name}: {exc}",
flush=True,
)
else:
submitted += 1
print(f"Submitted {job_name}", flush=True)
print()
if args.dry_run:
print(f"Analysis jobs to submit: {submitted}")
else:
print(f"Successfully submitted analysis jobs: {submitted}")
if failed:
print(f"Failed submissions: {failed}")
if missing_runs:
print(f"Skipped missing runs: {len(missing_runs)}")
if failed:
raise SystemExit(1)
if __name__ == "__main__":
main()