feat: 重构 memory 系统，支持 user memory 和 work memory 分离

backend/src/v1/auth/automation_static_config.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+from functools import lru_cache
+from pathlib import Path
+import re
+from typing import Any
+
+import yaml
+
+from core.agentscope.tools.tool_config import AgentTool
+from schemas.automation import AutomationJobConfig, MessageContextConfig
+
+_CONFIG_NAME_PATTERN = re.compile(r"^[a-z0-9][a-z0-9_-]{0,63}$")
+
+
+def _automation_yaml_path(config_name: str) -> Path:
+    if not _CONFIG_NAME_PATTERN.fullmatch(config_name):
+        raise ValueError("invalid automation config name")
+    return (
+        Path(__file__).resolve().parents[2]
+        / "core"
+        / "config"
+        / "static"
+        / "automation"
+        / f"{config_name}.yaml"
+    )
+
+
+@lru_cache(maxsize=16)
+def load_static_automation_job_config(*, config_name: str) -> AutomationJobConfig:
+    path = _automation_yaml_path(config_name)
+    with path.open("r", encoding="utf-8") as file:
+        loaded: Any = yaml.safe_load(file) or {}
+    if not isinstance(loaded, dict):
+        raise ValueError(f"invalid automation config format: {path}")
+    config = AutomationJobConfig.model_validate(loaded)
+    if config_name == "memory_extraction":
+        if config.enabled_tools != [AgentTool.MEMORY_WRITE, AgentTool.MEMORY_FORGET]:
+            raise ValueError(
+                "memory_extraction enabled_tools must be [memory.write, memory.forget]"
+            )
+        if config.context != MessageContextConfig(window_count=2):
+            raise ValueError(
+                "memory_extraction context must be latest_chat/day with window_count=2"
+            )
+    return config