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be8eade | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | """Prepare the validated CyberSecurity_OWASP scenario cache.
This command is intentionally offline/cache-prep work. Runtime ``reset()`` can
load these bundles in required mode without compiling a fresh scenario during a
Modal smoke or training run.
"""
from __future__ import annotations
import argparse
import json
import os
from pathlib import Path
from CyberSecurity_OWASP.config import load_scenario_authoring_config
from CyberSecurity_OWASP.server.scenario_cache import prepare_scenario_cache
def main() -> None:
parser = argparse.ArgumentParser(description="Generate validated scenario cache bundles.")
parser.add_argument("--config", default="", help="Path to scenario authoring JSON config.")
parser.add_argument("--cache-dir", default="", help="Output scenario cache directory.")
parser.add_argument("--seed-start", type=int, default=0)
parser.add_argument("--difficulty-buckets", type=int, default=0)
parser.add_argument("--train-per-bucket", type=int, default=0)
parser.add_argument("--validation-per-bucket", type=int, default=0)
parser.add_argument("--heldout-per-bucket", type=int, default=0)
parser.add_argument("--force", action="store_true", help="Overwrite existing bundles.")
args = parser.parse_args()
if args.difficulty_buckets:
os.environ["CYBERSECURITY_OWASP_DIFFICULTY_BUCKETS"] = str(args.difficulty_buckets)
if args.train_per_bucket:
os.environ["CYBERSECURITY_OWASP_TRAIN_SCENARIOS_PER_BUCKET"] = str(args.train_per_bucket)
if args.validation_per_bucket:
os.environ["CYBERSECURITY_OWASP_VALIDATION_SCENARIOS_PER_BUCKET"] = str(args.validation_per_bucket)
if args.heldout_per_bucket:
os.environ["CYBERSECURITY_OWASP_HELDOUT_SCENARIOS_PER_BUCKET"] = str(args.heldout_per_bucket)
if args.config:
os.environ["CYBERSECURITY_OWASP_SCENARIO_CONFIG"] = args.config
if args.cache_dir:
os.environ["CYBERSECURITY_OWASP_SCENARIO_CACHE_DIR"] = args.cache_dir
settings = load_scenario_authoring_config()
cache_dir = Path(args.cache_dir or settings.runtime.cache_dir)
result = prepare_scenario_cache(
cache_dir=cache_dir,
settings=settings,
seed_start=args.seed_start,
force=args.force,
)
print(json.dumps(result, indent=2, sort_keys=True))
if __name__ == "__main__":
main()
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