JOJO
5459d82637
CLI（bun 跑源码即生效）： - boot：loadBootData 一次性加载模型清单（含 context_window）/个性化默认 （含压缩设置）/path 授权/会话列表；新会话 unshift 标 current - /session：Enter 真实加载（timeline.reset + getSessionHistory 渲染历史文本） - /new：对齐 web /new 页面语义——空对话草稿不立即建会话，首条消息 createTask 不带 cid 由服务端惰性创建，响应回 id 后插入列表标 current - /context + 状态栏：token_update 事件（运行期事件流）+ 打开面板时查询 新端点 GET /api/runtime/sessions/<cid>/token-stats；百分比算法对齐 web InputComposer（自动压缩阈值优先于模型窗口） - /model：Enter = 本地生效 + createTask 带 model_key/run_mode/thinking_mode 覆盖（会话级即时）+ savePersonalization patch 存默认（effort default 存 null） - /path：增删后 savePathAuths 全量提交两组（服务端 deny 校验保留） - /agents /tasks /workflow /rewind：打开时拉真实列表（sub_agents/ background_commands/workflows/versioning-checkpoints） - 发送链路统一 sendWithSettings 携带 /model 生效值（含排队队列） 后端： - 8 端点装饰器 api_login_required → api_login_or_host_token_required （personalization×2 / path-authorization×2 / sub_agents / background_commands / workflows / versioning-checkpoints），web session 行为不变 - headless_app 用 add_url_rule 共享上述视图函数（URL 与 full 一致）； sub_agents/background_commands 支持 query 显式传 conversation_id （Bearer 装配的 terminal 无当前对话概念） - RuntimeService 新增 get_session_token_stats；gateway_api 挂 token-stats 路由 - headless 404 兜底：非 /api/ 的 GET 路径回落告知页（对齐 SPA fallback） 验证：tsc ✅ py_compile ✅ 冒烟 6/6 ✅ headless 装配 54 路由 ✅ localconfig 无头实测读到真实配置 ✅；真实服务端到端待用户重启 8091 实机验收 Co-authored-by: Astrion powered by Kimi-K3 <astrion-agent@users.noreply.github.com>
416 lines
20 KiB
Python
416 lines
20 KiB
Python
"""RuntimeService：公共任务受理与控制入口（契约 docs/runtime_contract.md §4.2）。
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定位：Web（HTTP 适配层）、CLI、未来的定时触发器等调用方共用的任务入口。
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本服务只做「受理裁决 + 显式上下文转发 + 控制委托」，不持有任务状态——
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任务记录、事件流、门闸、保存保护仍由既有 TaskManager / main_task_gate /
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conversation_manager 承载（契约 §2 状态责任表不变）。
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上下文传递：create_task 把 RuntimeContext 三层结构（principal/params/
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directives）原样传入 create_chat_task 并固化到任务记录；任务线程按层读取
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（身份映射为 RuntimeIdentity 驱动资源装配，门闸 token、事件回放等内部指令
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随 directives 跨线程传递）——不再有 session_data 兼容快照。
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"""
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from __future__ import annotations
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from typing import Any, Dict, List, Optional, Tuple
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from modules.i18n import tr
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from server.runtime.context import RuntimeContext, TrustedPrincipal
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class RuntimeService:
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"""公共任务入口。无状态：全部状态委托给 task_manager 单例。"""
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# ---- 受理 ----
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def create_task(self, ctx: RuntimeContext):
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"""受理一轮 Run：校验显式上下文 → 互斥裁决（create_chat_task 内）→ 登记 → 起执行。
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抛错契约（适配层负责映射 HTTP 状态码）：
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- ValueError：上下文/参数非法（400）
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- RuntimeError：同对话已有运行中 chat 任务等业务冲突（409）
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"""
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ctx.validate()
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# 延迟导入避免循环：server.tasks 的 blueprint 链不依赖本包
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from server.tasks import task_manager
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params = ctx.params
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conversation_id = params.conversation_id
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if not conversation_id and str(params.task_type or "chat").strip().lower() == "chat":
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# 对话级隔离兜底（自 server/tasks/api.py 下沉）：chat 任务必须落在
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# 对话级 terminal 上运行。补建对话文件是装配职责，收在服务层单点，
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# Web/CLI/定时触发器等调用方无需各自实现「先建会话再发任务」。
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conversation_id = self._ensure_conversation_for_chat(ctx)
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return task_manager.create_chat_task(ctx, conversation_id=conversation_id)
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@staticmethod
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def _ensure_conversation_for_chat(ctx: RuntimeContext) -> Optional[str]:
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"""chat 任务未携带 conversation_id 时补建对话文件。
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失败时返回 None（容错语义与原适配层兜底一致：任务线程内
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ensure_conversation_loaded 仍有最终兜底，但会失去对话级隔离，
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仅作为极端降级路径存在）。
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"""
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try:
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from server.context import RuntimeIdentity, get_user_resources
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from server.utils_common import debug_log
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p = ctx.principal
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params = ctx.params
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identity = RuntimeIdentity(
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host_mode=p.host_mode,
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host_workspace_id=p.host_workspace_id,
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is_api_user=p.is_api_user,
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role=p.role,
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preferred_model_key=params.model_key or p.preferred_model_key,
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preferred_run_mode=params.run_mode or p.preferred_run_mode,
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preferred_thinking_mode=(
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params.thinking_mode if params.thinking_mode is not None else p.preferred_thinking_mode
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),
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)
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terminal, workspace = get_user_resources(
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p.username, workspace_id=p.workspace_id, update_session=False, identity=identity
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)
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cm = getattr(getattr(terminal, "context_manager", None), "conversation_manager", None)
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if cm is None or workspace is None:
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return None
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run_mode = params.run_mode or p.preferred_run_mode or "fast"
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if run_mode not in {"fast", "thinking", "deep"}:
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run_mode = "fast"
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thinking_mode = params.thinking_mode
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if thinking_mode is None:
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thinking_mode = p.preferred_thinking_mode
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thinking_mode = bool(thinking_mode) if thinking_mode is not None else (run_mode != "fast")
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# 工具动态加载快照（老对话无字段=不启用）
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_tl_overrides: Dict[str, Any] = {}
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try:
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from core.tool_loading import snapshot_overrides_from_prefs
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from modules.personalization_manager import load_personalization_config as _load_tl_prefs
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_tl_overrides = snapshot_overrides_from_prefs(
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_load_tl_prefs(getattr(workspace, "data_dir", None))
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)
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except Exception:
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_tl_overrides = {}
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conversation_id = cm.create_conversation(
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project_path=str(getattr(workspace, "project_path", "") or "."),
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run_mode=run_mode,
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thinking_mode=thinking_mode,
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model_key=params.model_key or p.preferred_model_key,
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metadata_overrides=_tl_overrides or None,
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)
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debug_log(f"[RuntimeService] 未携带 conversation_id，已补建对话: {conversation_id}")
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return conversation_id
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except Exception as exc:
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try:
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from server.utils_common import debug_log
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debug_log(f"[RuntimeService] 补建对话失败（继续按无 cid 处理）: {exc}")
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except Exception:
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pass
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return None
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# ---- 控制 ----
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def cancel_task(self, username: str, task_id: str) -> bool:
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"""停止主 Run（不触碰后台工作者；后台任务有独立控制入口）。"""
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from server.tasks import task_manager
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return task_manager.cancel_task(username, task_id)
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def enqueue_runtime_guidance(
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self, username: str, task_id: str, message: str, source: Optional[str] = None
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) -> Dict[str, Any]:
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from server.tasks import task_manager
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return task_manager.enqueue_runtime_guidance(username, task_id, message, source=source)
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def enqueue_runtime_pending_message(
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self, username: str, task_id: str, message: str, files: Optional[List[str]] = None
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) -> Dict[str, Any]:
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from server.tasks import task_manager
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return task_manager.enqueue_runtime_pending_message(username, task_id, message, files=files)
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def remove_runtime_pending_message(self, username: str, task_id: str, message_id: str) -> Dict[str, Any]:
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from server.tasks import task_manager
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return task_manager.remove_runtime_pending_message(username, task_id, message_id)
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def promote_runtime_pending_to_guidance(self, username: str, task_id: str, message_id: str) -> Dict[str, Any]:
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from server.tasks import task_manager
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return task_manager.promote_runtime_pending_to_guidance(username, task_id, message_id)
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# ---- 审批/提问（公共入口；三类 manager 的薄路由，裁决语义由 manager 保证）----
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_APPROVAL_KINDS = ("tool", "plan", "question")
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def list_pending_approvals(
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self, username: str, conversation_id: Optional[str] = None, *, kind: Optional[str] = None
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) -> Dict[str, List[Dict[str, Any]]]:
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"""待决审批/提问合并查询（approval.list）。kind=None 返回三类全量（按键分桶）。"""
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from server.state import plan_approval_manager, tool_approval_manager, user_question_manager
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kinds = (kind,) if kind else self._APPROVAL_KINDS
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if any(k not in self._APPROVAL_KINDS for k in kinds):
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raise ValueError(f"runtime_context: 未知审批类型 {kind}")
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result: Dict[str, List[Dict[str, Any]]] = {}
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if "tool" in kinds:
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result["tool"] = tool_approval_manager.list_pending(username, conversation_id)
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if "plan" in kinds:
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result["plan"] = plan_approval_manager.list_pending(username, conversation_id)
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if "question" in kinds:
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result["question"] = user_question_manager.list_pending(username, conversation_id)
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return result
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def resolve_approval(
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self,
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kind: str,
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*,
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username: str,
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item_id: str,
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decision: Optional[str] = None,
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approved: Optional[bool] = None,
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comment: Optional[str] = None,
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selected_option_id: Optional[str] = None,
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text: Optional[str] = None,
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dismissed: bool = False,
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) -> Dict[str, Any]:
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"""统一裁决入口（approval.resolve）。kind 路由：
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- tool: decision ∈ {"approved","rejected"}（锁内单次裁决，重复回答返回现状）
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- plan: approved bool + 可选 comment
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- question: selected_option_id / text / dismissed 三选一语义
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错误语义与 manager 一致：越权 PermissionError、不存在 KeyError、参数非法 ValueError。
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"""
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from server.state import plan_approval_manager, tool_approval_manager, user_question_manager
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if kind == "tool":
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if decision is None:
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raise ValueError("runtime_context: tool 审批需 decision")
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return tool_approval_manager.decide(item_id, username, str(decision), reason=comment)
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if kind == "plan":
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if approved is None:
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raise ValueError("runtime_context: plan 审批需 approved")
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return plan_approval_manager.answer(
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approval_id=item_id, username=username, approved=bool(approved), comment=comment
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)
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if kind == "question":
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return user_question_manager.answer(
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question_id=item_id, username=username,
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selected_option_id=selected_option_id, text=text, dismissed=dismissed,
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)
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raise ValueError(f"runtime_context: 未知审批类型 {kind}")
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# ---- 会话查询（公共入口；CLI/定时器等非 Web 调用方不依赖 Web 路由）----
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def list_sessions(
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self,
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username: str,
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workspace_id: str,
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principal: Optional[TrustedPrincipal] = None,
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limit: int = 50,
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offset: int = 0,
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multi_agent_mode: Optional[bool] = None,
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) -> Dict[str, Any]:
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"""会话列表查询。principal 省略时按 username/workspace_id 构造最小身份快照。
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注意：返回结构由 conversation 管理链路定义（items/total 等），本服务只做
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资源装配与转发，不重排字段。
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"""
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terminal, _workspace = self._resources_for_query(username, workspace_id, principal)
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cm = getattr(terminal, "context_manager", None)
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if cm is None:
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raise RuntimeError(tr("tasks.system_not_initialized"))
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return cm.get_conversation_list(limit=limit, offset=offset, multi_agent_mode=multi_agent_mode)
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def get_session_history(
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self,
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username: str,
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workspace_id: str,
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conversation_id: str,
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principal: Optional[TrustedPrincipal] = None,
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) -> Optional[Dict[str, Any]]:
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"""会话历史读取（磁盘权威快照）。返回 None 表示不存在。"""
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if not str(conversation_id or "").strip():
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raise ValueError("runtime_context: conversation_id 不能为空")
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terminal, _workspace = self._resources_for_query(username, workspace_id, principal)
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cm = getattr(terminal, "context_manager", None)
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if cm is None:
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raise RuntimeError(tr("tasks.system_not_initialized"))
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manager = cm._get_conversation_manager_for_id(conversation_id)
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return manager.load_conversation(conversation_id)
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def get_session_token_stats(
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self,
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username: str,
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workspace_id: str,
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conversation_id: str,
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principal: Optional[TrustedPrincipal] = None,
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) -> Dict[str, Any]:
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"""会话 token 统计查询（session.token_stats）。
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字段由 context_manager 定义（total_input_tokens/total_output_tokens/
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total_cached_input_tokens/cache_exempt_input_tokens/current_context_tokens 等），
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本服务只做资源装配与转发。对话不存在或无统计时返回空 dict。
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"""
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if not str(conversation_id or "").strip():
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raise ValueError("runtime_context: conversation_id 不能为空")
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terminal, _workspace = self._resources_for_query(username, workspace_id, principal)
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cm = getattr(terminal, "context_manager", None)
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if cm is None:
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raise RuntimeError(tr("tasks.system_not_initialized"))
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return cm.get_conversation_token_statistics(conversation_id) or {}
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def create_session(
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self,
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username: str,
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workspace_id: str,
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principal: Optional[TrustedPrincipal] = None,
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*,
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run_mode: Optional[str] = None,
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thinking_mode: Optional[bool] = None,
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model_key: Optional[str] = None,
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multi_agent_mode: bool = False,
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) -> Dict[str, Any]:
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"""显式创建会话（session.create）。
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纯创建对话文件（不切换任何 terminal 的当前对话）；返回
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{"conversation_id": ...}。客户端随后 run.start 携带该 id 即可在
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新会话中执行——「先建会话再发任务」的装配职责收在服务层单点。
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默认模式解析优先级：显式传参 > principal 偏好快照 > 系统默认。
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"""
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terminal, workspace = self._resources_for_query(username, workspace_id, principal)
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cm = getattr(getattr(terminal, "context_manager", None), "conversation_manager", None)
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if cm is None or workspace is None:
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raise RuntimeError(tr("tasks.system_not_initialized"))
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resolved_run_mode = run_mode or (principal.preferred_run_mode if principal else None) or "fast"
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if resolved_run_mode not in {"fast", "thinking", "deep"}:
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resolved_run_mode = "fast"
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resolved_thinking = thinking_mode
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if resolved_thinking is None and principal is not None:
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resolved_thinking = principal.preferred_thinking_mode
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resolved_thinking = (
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bool(resolved_thinking) if resolved_thinking is not None else (resolved_run_mode != "fast")
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)
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# 工具动态加载快照（多智能体对话 v1 不启用；老对话无字段=不启用）
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_meta_overrides: Dict[str, Any] = {"multi_agent_mode": True} if multi_agent_mode else {}
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try:
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from core.tool_loading import snapshot_overrides_from_prefs
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from modules.personalization_manager import load_personalization_config as _load_tl_prefs
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_meta_overrides.update(snapshot_overrides_from_prefs(
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_load_tl_prefs(getattr(workspace, "data_dir", None)),
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multi_agent_mode=multi_agent_mode,
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))
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except Exception:
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pass
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conversation_id = cm.create_conversation(
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project_path=str(getattr(workspace, "project_path", "") or "."),
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run_mode=resolved_run_mode,
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thinking_mode=resolved_thinking,
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model_key=model_key or (principal.preferred_model_key if principal else None),
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metadata_overrides=_meta_overrides or None,
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)
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return {"conversation_id": conversation_id}
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@staticmethod
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def _resources_for_query(username: str, workspace_id: str, principal: Optional[TrustedPrincipal]):
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"""查询类调用的资源装配（工作区级 terminal 即可，不加载会话到内存）。"""
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from server.context import RuntimeIdentity, get_user_resources
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if principal is None:
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principal = TrustedPrincipal(username=username, workspace_id=workspace_id)
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if principal.username != username:
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# 纵深防御：principal 是适配层认证后的可信身份，不得与查询目标身份不符
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raise PermissionError("runtime_context: principal 与查询目标用户不一致")
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if str(principal.workspace_id or "") != str(workspace_id or ""):
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# 资源范围一致性：principal 声明的 workspace 即授权范围，
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# 跨工作区查询必须重新认证构造新 principal，不得仅传第二份参数
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raise PermissionError("runtime_context: principal 与查询目标工作区不一致")
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identity = RuntimeIdentity(
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host_mode=principal.host_mode,
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host_workspace_id=principal.host_workspace_id,
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is_api_user=principal.is_api_user,
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role=principal.role,
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preferred_model_key=principal.preferred_model_key,
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preferred_run_mode=principal.preferred_run_mode,
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preferred_thinking_mode=principal.preferred_thinking_mode,
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)
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terminal, workspace = get_user_resources(
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username, workspace_id=workspace_id, update_session=False, identity=identity
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)
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if terminal is None:
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raise RuntimeError(tr("tasks.system_not_initialized"))
|
||
return terminal, workspace
|
||
|
||
# ---- 观察（内部接口；后台调用方不必为观察任务发 HTTP 请求）----
|
||
|
||
def list_runs(
|
||
self,
|
||
username: str,
|
||
workspace_id: Optional[str] = None,
|
||
*,
|
||
conversation_id: Optional[str] = None,
|
||
status: Optional[str] = None,
|
||
) -> List[Dict[str, Any]]:
|
||
"""Run 发现查询（run.list）：按工作区/会话/状态筛选，created_at 倒序。
|
||
|
||
客户端 B 不知 task_id 时经本接口发现活动 Run（审核 F1）。载荷与 Web
|
||
/api/tasks 同构（复用 _task_public_payload），保证多端字段一致。
|
||
status 过滤语义同 Web 路由："active" = pending/running/cancel_requested，
|
||
或逗号分隔状态集；None 不过滤。归属约束：仅返回 username 自己的 Run。
|
||
"""
|
||
from server.tasks import task_manager
|
||
from server.tasks.models import task_public_payload
|
||
|
||
recs = task_manager.list_tasks(username, workspace_id)
|
||
if conversation_id:
|
||
target = str(conversation_id)
|
||
recs = [r for r in recs if str(getattr(r, "conversation_id", None) or "") in {target, target[5:] if target.startswith("conv_") else f"conv_{target}"}]
|
||
if status:
|
||
normalized = str(status).strip().lower()
|
||
if normalized == "active":
|
||
active = {"pending", "running", "cancel_requested"}
|
||
recs = [r for r in recs if r.status in active]
|
||
else:
|
||
wanted = {part.strip() for part in normalized.split(",") if part.strip()}
|
||
recs = [r for r in recs if r.status in wanted]
|
||
recs = sorted(recs, key=lambda x: x.created_at, reverse=True)
|
||
# 载荷与 Web /api/tasks 完全同构（核心层唯一序列化实现，无新旧双轨）
|
||
return [task_public_payload(r) for r in recs]
|
||
|
||
def get_runtime_pending_messages(self, username: str, task_id: str):
|
||
"""追问队列查询（run.queue 的查询面）。"""
|
||
from server.tasks import task_manager
|
||
|
||
return task_manager.get_runtime_pending_messages(username, task_id)
|
||
|
||
def get_task(self, username: str, task_id: str):
|
||
from server.tasks import task_manager
|
||
|
||
return task_manager.get_task(username, task_id)
|
||
|
||
def get_task_events(
|
||
self, username: str, task_id: str, offset: int
|
||
) -> Tuple[Optional[List[Dict[str, Any]]], Optional[int], Optional[str], Optional[Dict[str, Any]]]:
|
||
"""按 offset 增量读取任务事件流（idx/offset 协议，与 REST 轮询同一语义）。
|
||
|
||
返回 (events, next_offset, error, meta)。error 非空表示任务不存在或无权访问。
|
||
meta 携带缺口检测水位：``window_start`` = 事件窗口当前最小 idx
|
||
（协议 docs/runtime_protocol.md §5.2）；客户端 offset < window_start
|
||
即事件已被裁剪，须走重新同步（会话快照对账）而非续传。
|
||
"""
|
||
from server.tasks import task_manager
|
||
|
||
rec = task_manager.get_task(username, task_id)
|
||
if not rec:
|
||
return None, None, tr("tasks.task_not_found"), None
|
||
offset = max(0, int(offset or 0))
|
||
events = task_manager.get_events_since(rec, offset)
|
||
next_offset = events[-1]["idx"] + 1 if events else offset
|
||
meta = {"window_start": task_manager.get_event_window_start(rec)}
|
||
return events, next_offset, None, meta
|
||
|
||
|
||
# 进程级单例（无状态，可安全共享）
|
||
runtime_service = RuntimeService()
|