78 lines
1.9 KiB
Python
78 lines
1.9 KiB
Python
import os
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import json
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from typing import Optional
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from models import MemoryItem
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from datetime import datetime
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class KnowledgeBaseBackend:
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"""
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Long-term knowledge base (filesystem)
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Phase 3: Stub implementation
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Stores docs, roadmaps, and structured knowledge
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"""
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def __init__(self, kb_path: str = "/data/kb"):
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self.kb_path = kb_path
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async def initialize(self):
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"""Create KB directory"""
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if not os.path.exists(self.kb_path):
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try:
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os.makedirs(self.kb_path, exist_ok=True)
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print(f"✅ KB directory created: {self.kb_path}")
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except Exception as e:
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print(f"⚠️ Failed to create KB directory: {e}")
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print(" Using in-memory stub")
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async def query(
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self,
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agent_id: str,
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query_text: str,
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limit: int = 5
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) -> list[MemoryItem]:
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"""
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Query knowledge base
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Phase 3: Returns stub/empty results
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Phase 4: Implement proper KB indexing and search
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"""
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# Stub implementation for Phase 3
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print(f"ℹ️ KB query (stub): {query_text[:50]}...")
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# Return empty results for now
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# In Phase 4, this would:
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# 1. Index docs/roadmaps with embeddings
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# 2. Perform semantic search
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# 3. Return relevant knowledge chunks
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return []
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async def store(
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self,
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agent_id: str,
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microdao_id: str,
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kind: str,
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content: dict,
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metadata: Optional[dict] = None
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) -> str:
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"""
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Store knowledge base entry
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Phase 3: Stub implementation
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"""
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# Stub for Phase 3
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entry_id = f"kb-{datetime.now().timestamp()}"
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print(f"ℹ️ KB store (stub): {entry_id}")
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# In Phase 4, would write to filesystem or DB
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# with proper indexing
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return entry_id
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