78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
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import json
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import threading
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import uuid
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from app.core.data_root import get_data_root
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class EmbeddingModelStore:
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def __init__(self) -> None:
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self._lock = threading.RLock()
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@staticmethod
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def _file_path() -> Path:
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return get_data_root() / "embedding_models.json"
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def _read(self) -> List[Dict[str, Any]]:
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file_path = self._file_path()
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if not file_path.exists():
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return []
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try:
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with file_path.open("r", encoding="utf-8") as f:
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data = json.load(f)
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except (OSError, json.JSONDecodeError):
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return []
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if not isinstance(data, list):
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return []
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return data
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def _write(self, data: List[Dict[str, Any]]) -> None:
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file_path = self._file_path()
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file_path.parent.mkdir(parents=True, exist_ok=True)
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with file_path.open("w", encoding="utf-8") as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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def list_models(self) -> List[Dict[str, Any]]:
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with self._lock:
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return self._read()
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def get_model(self, model_id: str) -> Optional[Dict[str, Any]]:
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with self._lock:
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data = self._read()
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for item in data:
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if item.get("id") == model_id:
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return item
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return None
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def create_model(self, payload: Dict[str, Any]) -> Dict[str, Any]:
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with self._lock:
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data = self._read()
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new_model = payload.copy()
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new_model["id"] = uuid.uuid4().hex
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data.append(new_model)
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self._write(data)
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return new_model
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def update_model(self, model_id: str, payload: Dict[str, Any]) -> Optional[Dict[str, Any]]:
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with self._lock:
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data = self._read()
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for item in data:
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if item.get("id") == model_id:
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item.update(payload)
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self._write(data)
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return item
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return None
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def delete_model(self, model_id: str) -> bool:
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with self._lock:
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data = self._read()
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initial_len = len(data)
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data = [item for item in data if item.get("id") != model_id]
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if len(data) < initial_len:
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self._write(data)
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return True
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return False
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embedding_model_store = EmbeddingModelStore()
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