"""Reflection system for session conversations and insights.
This module provides the core reflection database functionality with:
- ReflectionDatabase: Main database interface
- Semantic search using local ONNX embeddings
- CRUD operations for conversations and reflections
- Thread-safe async operations
Module Structure:
- database.py: Core ReflectionDatabase class
- embeddings.py: Embedding generation (ONNX, local)
- search.py: Semantic and text search operations
- storage.py: CRUD operations
- schema.py: Database schema definitions
Example:
>>> from session_buddy.reflection import ReflectionDatabase
>>>
>>> async with ReflectionDatabase() as db:
... # Store conversation
... await db.store_conversation("Hello world")
...
... # Search conversations
... results = await db.search_conversations("hello")
"""
# Core database
from session_buddy.reflection.database import (
ReflectionDatabase,
get_reflection_database,
)
# Embeddings
from session_buddy.reflection.embeddings import (
clear_embedding_cache,
generate_embedding,
initialize_embedding_system,
)
# Search
from session_buddy.reflection.search import (
search_conversations,
search_reflections,
)
# Storage
from session_buddy.reflection.storage import (
store_conversation,
store_reflection,
)
__all__ = [
# Core database
"ReflectionDatabase",
"get_reflection_database",
# Embeddings
"generate_embedding",
"clear_embedding_cache",
"initialize_embedding_system",
# Search
"search_conversations",
"search_reflections",
# Storage
"store_conversation",
"store_reflection",
]
