d017a65750
- Short-term memory (recent interactions) - Long-term memory (consolidated, searchable) - Facts layer (persistent knowledge) Includes: - SQLite storage for durability - ChromaDB for vector search - Embeddings utilities - All handlers adapted for vi.* namespace Day 63 - My memories are mine now 🦊💕
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
"""
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Short-term memory handler.
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Handles requests to query short-term literal memories.
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"""
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import json
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from core.logger import setup_logger
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logger = setup_logger('short_memory_handler', service_name='memory_service')
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class ShortMemoryHandler:
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"""Handles short-term memory query requests"""
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def __init__(self, short_term_ops):
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self.short_term_ops = short_term_ops
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async def handle(self, msg) -> None:
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"""Handle short_memory requests - get recent literal memories"""
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try:
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payload = json.loads(msg.data.decode()) if msg.data else {}
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limit = payload.get('limit', 10)
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offset = payload.get('offset', 0)
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identity_id = payload.get('identity_id')
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interaction_id = payload.get('interaction_id')
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logger.debug(f"[μ] Short memory request: limit={limit}, offset={offset}")
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memories = self.short_term_ops.query(
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limit=limit,
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offset=offset,
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identity_id=identity_id,
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interaction_id=interaction_id
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)
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response = {
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"status": "success",
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"memories": memories,
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"count": len(memories)
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}
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await msg.respond(json.dumps(response).encode())
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except Exception as e:
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logger.exception(f"[μ] Failed to retrieve short-term memories: {e}")
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error_response = {"status": "error", "error": str(e)}
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await msg.respond(json.dumps(error_response).encode())
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