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68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
from __future__ import annotations
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import json
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from pathlib import Path
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import threading
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import time
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import uuid
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from deeptutor.learning.models import LearningProgress
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from deeptutor.services.path_service import get_path_service
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# Module-level lock so CAS semantics hold across all store instances.
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_cas_lock = threading.Lock()
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def _atomic_write_text(path: Path, text: str) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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tmp = path.with_suffix(path.suffix + f".tmp.{uuid.uuid4().hex}")
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try:
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tmp.write_text(text, encoding="utf-8")
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tmp.replace(path)
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except BaseException:
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# Don't leave an orphaned temp file behind on write/replace failure.
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tmp.unlink(missing_ok=True)
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raise
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class LearningStore:
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def __init__(self, root: Path | None = None) -> None:
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self._root = root or (get_path_service().get_workspace_dir() / "learning")
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self._root.mkdir(parents=True, exist_ok=True)
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def _path(self, book_id: str) -> Path:
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if "/" in book_id or "\\" in book_id or ".." in book_id or ":" in book_id:
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raise ValueError(f"Invalid book_id: {book_id!r}")
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return self._root / f"{book_id}.json"
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def save(self, progress: LearningProgress) -> None:
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with _cas_lock:
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progress.updated_at = time.time()
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progress.version += 1
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data = progress.model_dump(mode="json")
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text = json.dumps(data, ensure_ascii=False, indent=2)
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_atomic_write_text(self._path(progress.book_id), text)
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def load(self, book_id: str) -> LearningProgress | None:
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path = self._path(book_id)
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if not path.exists():
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return None
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data = json.loads(path.read_text(encoding="utf-8"))
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return LearningProgress.model_validate(data)
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def delete(self, book_id: str) -> None:
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with _cas_lock:
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path = self._path(book_id)
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if path.exists():
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path.unlink()
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def exists(self, book_id: str) -> bool:
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return self._path(book_id).exists()
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def list_all(self) -> list[str]:
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"""Return all book_ids that have stored progress."""
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return sorted(p.stem for p in self._root.glob("*.json") if not p.name.startswith("."))
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__all__ = ["LearningStore"]
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