engine / storage /embeddings_routers.py
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import os
import io
import json
import shutil
import sqlite3
from pathlib import Path
from fastapi import APIRouter, UploadFile, File, Query, HTTPException
from fastapi.responses import FileResponse, JSONResponse
from storage.files.file_manager import FileManager
from storage.common import validate_token
router = APIRouter(prefix="/embeddings", tags=["Embeddings Manager"])
EMBEDDINGS_ROOT = Path("/data/embeddings")
file_manager = FileManager(EMBEDDINGS_ROOT)
HF_TOKEN = os.getenv("HF_TOKEN")
@router.get("/list_embeddings", tags=["Embeddings Manager"])
def list_all_embeddings(
token: str = Query(..., description="Token required for authorization")
):
"""
List all embeddings stored under /data/embeddings.
For each video hash folder, returns:
- video: folder name (hash)
- faces: true/false depending on whether faces/embeddings.json exists
- voices: true/false depending on whether voices/embeddings.json exists
Notes:
- A video folder may contain only faces, only voices, or neither.
- Missing folders are treated as false.
"""
validate_token(token)
results = []
# If embeddings root does not exist, return empty list
if not EMBEDDINGS_ROOT.exists():
return []
for video_dir in EMBEDDINGS_ROOT.iterdir():
if not video_dir.is_dir():
continue # Skip anything that is not a folder
faces_path = video_dir / "faces" / "embeddings.json"
voices_path = video_dir / "voices" / "embeddings.json"
results.append({
"video": video_dir.name,
"faces": faces_path.exists(),
"voices": voices_path.exists()
})
return results
@router.post("/upload_embeddings", tags=["Embeddings Manager"])
async def upload_embeddings(
file: UploadFile = File(...),
embedding_type: str = Query(..., description="faces or voices"),
video_hash: str = Query(..., description="Hash of the video"),
token: str = Query(..., description="Token required for authorization")
):
"""
Upload embeddings JSON for a given video and type (faces or voices).
Behavior:
- Validate the token.
- Validate embedding_type.
- Ensure directory structure: /data/embeddings/<video_hash>/<embedding_type>/
- Delete any existing .json file inside that folder.
- Save the uploaded embeddings as embeddings.json.
"""
validate_token(token)
# Validación del tipo
if embedding_type not in ("faces", "voices"):
raise HTTPException(status_code=400, detail="embedding_type must be 'faces' or 'voices'")
# Rutas objetivo
video_path = EMBEDDINGS_ROOT / video_hash
type_path = video_path / embedding_type
# Crear carpetas si no existen
type_path.mkdir(parents=True, exist_ok=True)
# Eliminar JSONs previos
for existing in type_path.glob("*.json"):
try:
existing.unlink()
except Exception as exc:
raise HTTPException(status_code=500, detail=f"Failed to delete old embeddings: {exc}")
# Guardar como embeddings.json
final_path = type_path / "embeddings.json"
try:
file_bytes = await file.read()
with open(final_path, "wb") as f:
f.write(file_bytes)
except Exception as exc:
raise HTTPException(status_code=500, detail=f"Failed to save embeddings: {exc}")
return JSONResponse(
status_code=200,
content={
"status": "ok",
"saved_to": str(final_path)
}
)
def get_embeddings_json(video_hash: str, embedding_type: str):
"""
Returns the parsed embeddings.json for a given video and type.
Behavior:
- Validate embedding_type.
- Build the file path: /data/embeddings/<video_hash>/<embedding_type>/embeddings.json
- Raise HTTPException if missing.
- Load and return parsed JSON.
"""
if embedding_type not in ("faces", "voices"):
raise HTTPException(status_code=400, detail="embedding_type must be 'faces' or 'voices'")
target_file = EMBEDDINGS_ROOT / video_hash / embedding_type / "embeddings.json"
if not target_file.exists():
raise HTTPException(
status_code=404,
detail=f"embeddings.json not found for video={video_hash}, type={embedding_type}"
)
try:
with open(target_file, "r", encoding="utf-8") as f:
data = json.load(f)
except Exception as exc:
raise HTTPException(status_code=500, detail=f"Failed to read embeddings: {exc}")
return data
@router.get("/get_embedding", tags=["Embeddings Manager"])
def get_embeddings(
video_hash: str = Query(..., description="Hash of the video"),
embedding_type: str = Query(..., description="faces or voices"),
token: str = Query(..., description="Token required for authorization")
):
"""
Endpoint to retrieve embeddings.json for a given video hash and type.
"""
validate_token(token)
data = get_embeddings_json(video_hash, embedding_type)
return data