Files
NODEDC_MISSION_CORE/experiments/perception/run_e30_materialization.py
T

61 lines
2.0 KiB
Python

#!/usr/bin/env python3
"""Build camera-backed LAB E30 evidence from immutable A2 sources."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from k1link.compute.e30_materialization import build_e30_materialization
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--review-pack", type=Path, required=True)
parser.add_argument("--e29-root", type=Path, required=True)
parser.add_argument("--source-result-root", type=Path, required=True)
parser.add_argument("--source-pack-root", type=Path, required=True)
parser.add_argument("--local-surface-root", type=Path, required=True)
parser.add_argument("--camera-job", type=Path, required=True)
parser.add_argument("--ffmpeg", type=Path, required=True)
parser.add_argument(
"--output-root",
type=Path,
default=Path(".runtime/compute-experiments/e30/materializations"),
)
args = parser.parse_args()
result = build_e30_materialization(
review_pack_root=args.review_pack,
e29_root=args.e29_root,
source_result_root=args.source_result_root,
source_pack_root=args.source_pack_root,
local_surface_root=args.local_surface_root,
camera_job_root=args.camera_job,
ffmpeg_path=args.ffmpeg,
output_root=args.output_root,
)
print(
json.dumps(
{
"result_id": result.result_id,
"result_root": str(result.result_root),
"item_count": result.manifest["item_count"],
"camera_evidence_available": result.manifest[
"camera_evidence_available"
],
"human_review_complete": result.manifest[
"human_review_complete"
],
"lab_published": result.manifest["lab_published"],
},
ensure_ascii=False,
indent=2,
)
)
if __name__ == "__main__":
main()