Files
FabledCurator/backend/app/scripts/download_models.py
T
bvandeusen b68a382b60 feat(fc2b): importer enqueues tag_and_embed + ml-worker model self-heal
import_media_file now enqueues tag_and_embed alongside generate_thumbnail
after a successful import. scripts/download_models.py snapshots Camie +
SigLIP into /models, idempotent (skips when present). The ml-worker
entrypoint runs it before starting the Celery worker so a fresh /models
volume self-heals on first boot. Downloader tests are pure-logic (no
network in CI).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-15 07:45:09 -04:00

54 lines
1.5 KiB
Python

"""Self-heal model weights into /models. Idempotent — only missing files
are fetched. Called by the ml-worker entrypoint before Celery starts.
"""
import os
import sys
from pathlib import Path
MODEL_ROOT = Path(os.environ.get("ML_MODEL_DIR", "/models"))
CAMIE_REPO = os.environ.get("CAMIE_HF_REPO", "Camais03/camie-tagger-v2")
SIGLIP_REPO = os.environ.get(
"SIGLIP_HF_REPO", "google/siglip-so400m-patch14-384"
)
def _snapshot(repo_id: str, dest: Path, allow_patterns: list[str] | None) -> None:
from huggingface_hub import snapshot_download
dest.mkdir(parents=True, exist_ok=True)
snapshot_download(
repo_id=repo_id,
local_dir=str(dest),
allow_patterns=allow_patterns,
)
def ensure_camie() -> None:
dest = MODEL_ROOT / "camie"
if (dest / "model.onnx").is_file() and (dest / "selected_tags.csv").is_file():
print(f"[download_models] Camie present at {dest}")
return
print(f"[download_models] Fetching {CAMIE_REPO} -> {dest}")
_snapshot(CAMIE_REPO, dest, ["model.onnx", "selected_tags.csv", "*.json"])
def ensure_siglip() -> None:
dest = MODEL_ROOT / "siglip"
if (dest / "config.json").is_file() and any(dest.glob("*.safetensors")):
print(f"[download_models] SigLIP present at {dest}")
return
print(f"[download_models] Fetching {SIGLIP_REPO} -> {dest}")
_snapshot(SIGLIP_REPO, dest, None)
def main() -> int:
ensure_camie()
ensure_siglip()
print("[download_models] Done.")
return 0
if __name__ == "__main__":
sys.exit(main())