bd4b956e3c
klausur-service (11 files): - cv_gutter_repair, ocr_pipeline_regression, upload_api - ocr_pipeline_sessions, smart_spell, nru_worksheet_generator - ocr_pipeline_overlays, mail/aggregator, zeugnis_api - cv_syllable_detect, self_rag backend-lehrer (17 files): - classroom_engine/suggestions, generators/quiz_generator - worksheets_api, llm_gateway/comparison, state_engine_api - classroom/models (→ 4 submodules), services/file_processor - alerts_agent/api/wizard+digests+routes, content_generators/pdf - classroom/routes/sessions, llm_gateway/inference - classroom_engine/analytics, auth/keycloak_auth - alerts_agent/processing/rule_engine, ai_processor/print_versions agent-core (5 files): - brain/memory_store, brain/knowledge_graph, brain/context_manager - orchestrator/supervisor, sessions/session_manager admin-lehrer (5 components): - GridOverlay, StepGridReview, DevOpsPipelineSidebar - DataFlowDiagram, sbom/wizard/page website (2 files): - DependencyMap, lehrer/abitur-archiv Other: nibis_ingestion, grid_detection_service, export-doclayout-onnx Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
"""
|
|
Memory Models for Breakpilot Agents
|
|
|
|
Data classes for memory items used by MemoryStore.
|
|
"""
|
|
|
|
from typing import Dict, Any, Optional
|
|
from datetime import datetime, timezone
|
|
from dataclasses import dataclass, field
|
|
|
|
|
|
@dataclass
|
|
class Memory:
|
|
"""Represents a stored memory item"""
|
|
key: str
|
|
value: Any
|
|
agent_id: str
|
|
created_at: datetime = field(default_factory=lambda: datetime.now(timezone.utc))
|
|
expires_at: Optional[datetime] = None
|
|
access_count: int = 0
|
|
last_accessed: Optional[datetime] = None
|
|
metadata: Dict[str, Any] = field(default_factory=dict)
|
|
|
|
def to_dict(self) -> Dict[str, Any]:
|
|
return {
|
|
"key": self.key,
|
|
"value": self.value,
|
|
"agent_id": self.agent_id,
|
|
"created_at": self.created_at.isoformat(),
|
|
"expires_at": self.expires_at.isoformat() if self.expires_at else None,
|
|
"access_count": self.access_count,
|
|
"last_accessed": self.last_accessed.isoformat() if self.last_accessed else None,
|
|
"metadata": self.metadata
|
|
}
|
|
|
|
@classmethod
|
|
def from_dict(cls, data: Dict[str, Any]) -> "Memory":
|
|
return cls(
|
|
key=data["key"],
|
|
value=data["value"],
|
|
agent_id=data["agent_id"],
|
|
created_at=datetime.fromisoformat(data["created_at"]),
|
|
expires_at=datetime.fromisoformat(data["expires_at"]) if data.get("expires_at") else None,
|
|
access_count=data.get("access_count", 0),
|
|
last_accessed=datetime.fromisoformat(data["last_accessed"]) if data.get("last_accessed") else None,
|
|
metadata=data.get("metadata", {})
|
|
)
|
|
|
|
def is_expired(self) -> bool:
|
|
"""Check if the memory has expired"""
|
|
if not self.expires_at:
|
|
return False
|
|
return datetime.now(timezone.utc) > self.expires_at
|