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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

119 lines
4.3 KiB
Python

"""Memory adapters for Headroom's hierarchical memory system.
This module provides concrete implementations of the memory system's ports:
- SQLiteMemoryStore: SQLite-based memory persistence
- FTS5TextIndex: SQLite FTS5 full-text search index
- HNSWVectorIndex: HNSW-based vector index using hnswlib (optional)
- SQLiteVectorIndex: SQLite-based vector index using sqlite-vec (optional, recommended)
- LRUMemoryCache: Thread-safe LRU cache for hot memories
- InMemoryGraphStore: In-memory graph store for knowledge graphs
- SQLiteGraphStore: SQLite-based graph store (bounded memory, persistent)
- LocalEmbedder: sentence-transformers embedding (local, optional)
- OpenAIEmbedder: OpenAI API embedding (cloud, optional)
- OllamaEmbedder: Ollama API embedding (local server, optional)
Note: Some adapters require optional dependencies. Import errors are
deferred until the adapter is actually used.
"""
# Core adapters (no external dependencies beyond sqlite3)
from headroom.memory.adapters.cache import LRUMemoryCache
from headroom.memory.adapters.fts5 import FTS5TextIndex
from headroom.memory.adapters.graph import InMemoryGraphStore
from headroom.memory.adapters.sqlite import SQLiteMemoryStore
from headroom.memory.adapters.sqlite_graph import SQLiteGraphStore
# Check for optional dependencies availability
# Note: We don't import from hnsw.py here because hnswlib may crash with
# "Illegal instruction" on CPUs without required instructions (e.g., AVX).
# Instead, we check lazily when HNSWVectorIndex is actually used.
# HNSW_AVAILABLE is handled through __getattr__ to ensure lazy checking.
# Lazy imports for optional adapters
_HNSW_AVAILABLE: bool | None = None # Internal cache for HNSW_AVAILABLE
_SQLITE_VEC_AVAILABLE: bool | None = None # Internal cache for SQLITE_VEC_AVAILABLE
_HNSWVectorIndex = None
_SQLiteVectorIndex = None
_LocalEmbedder = None
_OpenAIEmbedder = None
_OllamaEmbedder = None
def __getattr__(name: str) -> type | bool:
"""Lazy import for optional adapters."""
global _HNSWVectorIndex, _SQLiteVectorIndex
global _LocalEmbedder, _OpenAIEmbedder, _OllamaEmbedder
global _HNSW_AVAILABLE, _SQLITE_VEC_AVAILABLE
if name == "HNSW_AVAILABLE":
# Lazily check hnswlib availability
if _HNSW_AVAILABLE is None:
from headroom.memory.adapters.hnsw import _check_hnswlib_available
_HNSW_AVAILABLE = _check_hnswlib_available()
return _HNSW_AVAILABLE
if name == "SQLITE_VEC_AVAILABLE":
# Lazily check sqlite-vec availability
if _SQLITE_VEC_AVAILABLE is None:
from headroom.memory.adapters.sqlite_vector import is_sqlite_vec_available
_SQLITE_VEC_AVAILABLE = is_sqlite_vec_available()
return _SQLITE_VEC_AVAILABLE
if name == "HNSWVectorIndex":
if _HNSWVectorIndex is None:
from headroom.memory.adapters.hnsw import HNSWVectorIndex
_HNSWVectorIndex = HNSWVectorIndex
return _HNSWVectorIndex
if name == "SQLiteVectorIndex":
if _SQLiteVectorIndex is None:
from headroom.memory.adapters.sqlite_vector import SQLiteVectorIndex
_SQLiteVectorIndex = SQLiteVectorIndex
return _SQLiteVectorIndex
if name == "LocalEmbedder":
if _LocalEmbedder is None:
from headroom.memory.adapters.embedders import LocalEmbedder
_LocalEmbedder = LocalEmbedder
return _LocalEmbedder
if name == "OpenAIEmbedder":
if _OpenAIEmbedder is None:
from headroom.memory.adapters.embedders import OpenAIEmbedder
_OpenAIEmbedder = OpenAIEmbedder
return _OpenAIEmbedder
if name == "OllamaEmbedder":
if _OllamaEmbedder is None:
from headroom.memory.adapters.embedders import OllamaEmbedder
_OllamaEmbedder = OllamaEmbedder
return _OllamaEmbedder
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
__all__ = [
# Core adapters (always available)
"FTS5TextIndex",
"InMemoryGraphStore",
"LRUMemoryCache",
"SQLiteGraphStore",
"SQLiteMemoryStore",
# Optional adapters (lazy-loaded)
"HNSWVectorIndex",
"SQLiteVectorIndex",
"LocalEmbedder",
"OllamaEmbedder",
"OpenAIEmbedder",
# Availability flags
"HNSW_AVAILABLE",
"SQLITE_VEC_AVAILABLE",
]