| """Aģenta atmiņa — saglabā pieredzi.""" |
|
|
| from __future__ import annotations |
|
|
| import json |
| import logging |
| from collections import deque |
| from pathlib import Path |
| from typing import Any |
|
|
| logger = logging.getLogger(__name__) |
|
|
|
|
| class AgentMemory: |
| """Vienkārša aģenta atmiņa ar ierakstu vēsturi.""" |
|
|
| def __init__(self, max_size: int = 100) -> None: |
| self._buffer: deque[dict[str, Any]] = deque(maxlen=max_size) |
|
|
| def add(self, entry: dict[str, Any]) -> None: |
| self._buffer.append(entry) |
|
|
| def get_recent(self, n: int = 10) -> list[dict[str, Any]]: |
| return list(self._buffer)[-n:] |
|
|
| def save(self, path: str | Path) -> None: |
| with open(path, "w") as f: |
| json.dump(list(self._buffer), f, indent=2) |
|
|
| def load(self, path: str | Path) -> None: |
| try: |
| with open(path) as f: |
| data = json.load(f) |
| self._buffer = deque(data, maxlen=self._buffer.maxlen) |
| except FileNotFoundError: |
| logger.info("Atmiņas fails nav atrasts: %s", path) |
|
|
