File size: 2,638 Bytes
520e73b | 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 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | #!/usr/bin/env python3
"""Extract `.metadata.json` from each `.s4a` job archive into `data/jobs.jsonl`."""
import json
import logging
import re
import zipfile
from pathlib import Path
ROOT = Path(__file__).parent.parent.parent
SOURCE_DIR = ROOT / "source" / "Jobs"
OUTPUT_FILE = ROOT / "data" / "jobs.jsonl"
METADATA_NAME = ".metadata.json"
DATE_RE = re.compile(r"\s+(\d{4})_(\d{2})_(\d{2})$")
logging.basicConfig(level=logging.INFO, format="%(message)s")
log = logging.getLogger(__name__)
def parse_filename(stem: str) -> tuple[str, str | None]:
"""Split a job filename stem into (job_name, print_date|None)."""
m = DATE_RE.search(stem)
if not m:
return stem, None
job_name = stem[: m.start()]
print_date = f"{m.group(1)}-{m.group(2)}-{m.group(3)}"
return job_name, print_date
def build_row(s4a_path: Path) -> dict | None:
with zipfile.ZipFile(s4a_path) as zf:
if METADATA_NAME not in zf.namelist():
log.warning(f"{s4a_path.name}: no {METADATA_NAME}, skipping")
return None
metadata = json.loads(zf.read(METADATA_NAME))
job_name, print_date = parse_filename(s4a_path.stem)
aj = metadata.get("AutomaticJob", {})
print_profile_id = aj.get("PrintProfile", {}).get("Id")
files_by_name = {f["Name"]: f for f in aj.get("ObjectFiles", [])}
objects = []
for obj in aj.get("Objects", []):
f = files_by_name.get(obj["Name"], {})
objects.append({
"object_file_id": f.get("Id"),
"name": obj["Name"],
"hash": f.get("Hash"),
"instance_count": obj.get("InstanceCount"),
"scale": obj.get("Scale"),
})
return {
"source_file": s4a_path.name,
"print_date": print_date,
"job_name": job_name,
"print_profile_id": print_profile_id,
"objects": objects,
"metadata": metadata,
}
def main():
if not SOURCE_DIR.exists():
log.error(f"Source directory {SOURCE_DIR} not found.")
return
OUTPUT_FILE.parent.mkdir(parents=True, exist_ok=True)
count = 0
with OUTPUT_FILE.open("w", encoding="utf-8") as out:
for s4a_path in sorted(SOURCE_DIR.glob("*.s4a")):
try:
row = build_row(s4a_path)
if row is None:
continue
out.write(json.dumps(row, ensure_ascii=False) + "\n")
count += 1
except Exception as e:
log.error(f"Error processing {s4a_path.name}: {e}")
log.info(f"Wrote {count} job records to {OUTPUT_FILE}")
if __name__ == "__main__":
main()
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