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 🦊💕
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""
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Save fact handler.
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Handles requests to save new facts to factual memory.
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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('save_fact_handler', service_name='memory_service')
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class SaveFactHandler:
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"""Handles save fact requests"""
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def __init__(self, facts_ops):
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self.facts_ops = facts_ops
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async def handle(self, msg) -> None:
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"""Handle save_fact requests - store new fact"""
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try:
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payload = json.loads(msg.data.decode())
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content = payload.get('content')
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if not content:
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raise ValueError("content is required")
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category = payload.get('category', 'general')
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identities = payload.get('identities', [])
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mutable = payload.get('mutable', True)
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metadata = payload.get('metadata', {})
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step_exec_id = metadata.get('step_exec_id', 'unknown')
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logger.info(f"[μ] [{step_exec_id}] Saving fact: category={category}, content='{content[:50]}...'")
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fact_id = self.facts_ops.create(
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content=content,
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category=category,
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identities=identities,
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mutable=mutable,
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metadata=metadata
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)
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logger.info(f"[μ] [{step_exec_id}] ✅ Created fact {fact_id[:8]}...: category={category}, content='{content[:50]}...'")
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response = {
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"status": "success",
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"fact_id": fact_id,
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"message": "Fact saved successfully"
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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 save fact: {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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