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多用户系统 + Admin 角色权限 + Web/TUI 同步 + 构建集成

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本轮实现功能：
1. 多用户隔离：每个用户独立 config.json + graph.db
2. TUI 登录页 + 旧版自动迁移（core/migrate.py）
3. Admin/User 角色体系（core/embedded_db.py）
4. Web 后台管理 API（userinfo + admin CRUD）
5. Web 设置页用户管理区（仅 admin 可见）
6. TUI 侧栏配置区权限同步（非 admin 隐藏 Web 服务设置）
7. Web 服务打包为独立二进制（trulymem-web）
8. 双入口 PyInstaller 构建脚本（TUI + Web）
9. 活动记录器（core/activity_recorder.py）
10. 静态页面模板（登录/设置/首次引导）
This commit is contained in:
root
2026-04-28 10:37:57 +08:00
parent 46008c14c5
commit b4456a9c5b
22 changed files with 5488 additions and 183 deletions
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29
core/tool_executor.py
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@ -4,6 +4,8 @@
import json
from typing import Any, Dict
from .activity_recorder import get_recorder
def execute_tool(graph: Any, tool_name: str, arguments: dict) -> str:
"""执行工具调用"""
@ -11,8 +13,12 @@ def execute_tool(graph: Any, tool_name: str, arguments: dict) -> str:
print(f"[参数] {json.dumps(arguments, ensure_ascii=False, indent=2)}")
try:
recorder = get_recorder()
# 基础记忆工具
if tool_name == "memory_recall":
entity = arguments.get("query_intent", "") or str(arguments.get("seed_entities", ""))
recorder.record("query", tool_name, entity)
result = graph.recall(
query_intent=arguments.get("query_intent", ""),
seed_entities=arguments.get("seed_entities"),
@ -23,30 +29,39 @@ def execute_tool(graph: Any, tool_name: str, arguments: dict) -> str:
return format_recall_result(result)
elif tool_name == "memory_commit":
triplets = arguments.get("triplets", [])
entity = triplets[0].get("subject", "") if triplets else ""
recorder.record("create", tool_name, entity, f"{len(triplets)} triplets")
result = graph.commit(
triplets=arguments.get("triplets", []),
triplets=triplets,
entity_types=arguments.get("entity_types"),
temporal_tag=arguments.get("temporal_tag")
)
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "memory_purge":
criteria = arguments.get("criteria", {})
entity = criteria.get("subject_contains", str(criteria))
recorder.record("delete", tool_name, entity)
result = graph.purge(
criteria=arguments.get("criteria", {}),
criteria=criteria,
mode=arguments.get("mode", "soft"),
new_relation=arguments.get("new_relation")
)
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "memory_introspect":
recorder.record("query", tool_name, "数据库统计")
result = graph.introspect(session_id=arguments.get("session_id"))
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "memory_archive":
recorder.record("archive", tool_name, "旧记忆")
result = graph.archive(days=arguments.get("days", 30))
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "memory_cleanup":
recorder.record("cleanup", tool_name, "已删除数据")
result = graph.cleanup(dry_run=arguments.get("dry_run", True))
return json.dumps(result, ensure_ascii=False, default=str)
@ -56,27 +71,37 @@ def execute_tool(graph: Any, tool_name: str, arguments: dict) -> str:
# 人设图管理工具
elif tool_name == "persona_update":
recorder.record("update", tool_name, "人设属性")
result = execute_persona_update(graph, arguments)
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "persona_clear":
recorder.record("delete", tool_name, "所有人设")
result = execute_persona_clear(graph, arguments)
return json.dumps(result, ensure_ascii=False, default=str)
# 工作记忆链管理工具
elif tool_name == "task_create":
desc = arguments.get("description", "")
recorder.record("create", tool_name, desc)
result = execute_task_create(graph, arguments)
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "task_set_state":
desc = arguments.get("task_id", "")
recorder.record("update", tool_name, desc)
result = execute_task_set_state(graph, arguments)
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "task_delete":
desc = arguments.get("task_id", "")
recorder.record("delete", tool_name, desc)
result = execute_task_delete(graph, arguments)
return json.dumps(result, ensure_ascii=False, default=str)
elif tool_name == "task_link_info":
desc = arguments.get("task_id", "")
recorder.record("update", tool_name, desc)
result = execute_task_link_info(graph, arguments)
return json.dumps(result, ensure_ascii=False, default=str)