"""任务编排层(对齐模板 task_service.py 的职责分工)。 - ``cmd_health`` / ``cmd_version`` / ``cmd_config_path`` / ``cmd_init_db``:标准 CLI; - ``cmd_remind``:演示 async 任务范式(``job_context`` + ``emit`` + ``finish``), 真实平台会推送到任务中心 UI;本 demo 在 stdout 打印 JSON Lines 模拟。 业务内核(CRUD)在 ``todo_service``,本模块只做编排,不复制业务逻辑。 """ from __future__ import annotations import asyncio import json import os import time from typing import Any, Optional import uuid from jiangchang_skill_core import collect_runtime_diagnostics, config, format_runtime_health_lines from jiangchang_skill_core.activity import JobStopped, emit, finish, job_context from jiangchang_skill_core.rpa.video_session import RpaVideoSession from service.entitlement_service import check_entitlement from service.task_run_support import ( _print_video_summary, build_video_info, merge_video_into_result_summary, ) from util.constants import LOG_LOGGER_NAME, PLATFORM_KIT_MIN_VERSION, SKILL_SLUG, SKILL_VERSION from util.logging_config import get_skill_logger, setup_skill_logging from util.runtime_paths import get_db_path, get_skill_data_dir, get_skill_root from db.connection import init_db from service import todo_service def _get_task_logger(): try: return get_skill_logger() except RuntimeError: setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME) return get_skill_logger() async def _run_template_demo(target: Optional[str], input_id: Optional[str]) -> tuple[int, dict[str, Any]]: """最小 RpaVideoSession 示范:不启动浏览器、不执行业务,仅演示录屏包裹范式。""" batch_id = uuid.uuid4().hex[:12] data_dir = get_skill_data_dir() async with RpaVideoSession( skill_slug=SKILL_SLUG, skill_data_dir=data_dir, batch_id=batch_id, title="开始执行示例任务", closing_title="示例任务执行完成", ) as video: video.add_step("准备执行示例任务") if target: video.add_step(f"接收目标参数:{target}") if input_id: video.add_step(f"接收输入标识:{input_id}") video.add_step("示例任务执行完成") video_summary = video.summary() video_info = build_video_info(video_summary, {}, {}) return 1, video_info def cmd_run(target: Optional[str] = None, input_id: Optional[str] = None) -> int: """通用任务执行入口模板。复制后请实现真实业务逻辑。""" log = _get_task_logger() task_type = "cmd_run" with job_context(skill=SKILL_SLUG): log.info( "task_start task_type=%s target_id=%s input_id=%s stage=run", task_type, target, input_id, ) emit("开始处理任务", skill=SKILL_SLUG, stage="run") try: ok, reason = check_entitlement(SKILL_SLUG) if not ok: log.warning( "entitlement_failed task_type=%s stage=auth error_code=ENTITLEMENT_DENIED", task_type, ) emit("鉴权失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="auth") finish( status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth", ) print(f"ERROR:ENTITLEMENT_DENIED {reason}") return 1 log.info("entitlement_ok task_type=%s stage=auth", task_type) log.info("rpa_start stage=demo_prepare task_type=%s", task_type) log.info("task_run_demo_start target_id=%s input_id=%s stage=demo_prepare", target, input_id) rc, video_info = asyncio.run(_run_template_demo(target, input_id)) log.info("rpa_done stage=demo_prepare status=ok") log.info( "task_run_demo_done target_id=%s input_id=%s stage=demo_finish status=failed", target, input_id, ) _print_video_summary(video_info) summary_payload = merge_video_into_result_summary( { "template_demo": True, "target": target, "input_id": input_id, }, video_info, ) log.warning( "task_failed task_type=%s stage=demo_finish error_code=TEMPLATE_STUB", task_type, ) finish( status="failed", message="模板仓库未实现真实业务", skill=SKILL_SLUG, error_code="TEMPLATE_STUB", **summary_payload, ) print("ERROR:TEMPLATE_STUB 这是模板仓库,请复制后在 scripts/service/task_service.py 中实现 cmd_run 的真实业务逻辑。") return rc except JobStopped: raise except Exception: log.exception( "task_failed task_type=%s target_id=%s input_id=%s", task_type, target, input_id, ) emit("任务失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="run") finish( status="failed", message="任务执行异常,详见统一日志", skill=SKILL_SLUG, stage="run", ) return 1 # ---------------- 标准命令(sync,当场返回) ---------------- def cmd_config_path() -> int: example_path = os.path.join(get_skill_root(), ".env.example") env_path = config.get_env_file_path() or "" print(json.dumps( {"skill": SKILL_SLUG, "env_path": env_path, "example_path": os.path.abspath(example_path)}, ensure_ascii=False, )) return 0 def cmd_health() -> int: runtime = collect_runtime_diagnostics( skill_slug=SKILL_SLUG, platform_kit_min_version=PLATFORM_KIT_MIN_VERSION, skill_root=get_skill_root(), ) example_path = os.path.join(get_skill_root(), ".env.example") env_path = config.get_env_file_path() or "" env_exists = bool(env_path and os.path.isfile(env_path)) health_status = "failed" if runtime.has_fatal_issues else "ok" lines = [ f"{SKILL_SLUG} health: {health_status}", *format_runtime_health_lines(runtime), f"env_path: {env_path}", f"env_exists: {env_exists}", f"example_path: {os.path.abspath(example_path)}", f"db_path: {get_db_path()}", ] for line in lines: print(line) return 1 if runtime.has_fatal_issues else 0 def cmd_version() -> int: print(json.dumps({"version": SKILL_VERSION, "skill": SKILL_SLUG}, ensure_ascii=False)) return 0 def cmd_init_db() -> int: """幂等创建本地 SQLite 与数据管理元数据。""" try: init_db() except Exception as exc: # CLI 边界统一成可机读失败 print(json.dumps( {"ok": False, "skill": SKILL_SLUG, "error": str(exc)}, ensure_ascii=False, )) return 1 print(json.dumps( {"ok": True, "skill": SKILL_SLUG, "db_path": get_db_path()}, ensure_ascii=False, )) return 0 # ---------------- 业务命令(sync) ---------------- def cmd_list(*, status: Optional[str] = None, limit: int = 100) -> int: todos = todo_service.list_todos(status=status, limit=limit) _get_task_logger().info(json.dumps( {"count": len(todos), "items": [t.to_dict() for t in todos]}, ensure_ascii=False, )) return 0 def cmd_add(*, title: str, priority: str = "normal", due_at: Optional[int] = None) -> int: try: todo = todo_service.add_todo(title=title, priority=priority, due_at=due_at) except ValueError as exc: _get_task_logger().error(f"ERROR:TODO_INVALID: {exc}") return 1 _get_task_logger().info(json.dumps(todo.to_dict(), ensure_ascii=False)) return 0 def cmd_done(*, todo_ids: list[int]) -> int: """批量标记完成。返回 JSON 列表,每项含 ok/id/error。""" results: list[dict] = [] for tid in todo_ids: try: todo = todo_service.mark_done(tid) results.append({"ok": True, "id": tid, "todo": todo.to_dict()}) except ValueError as exc: results.append({"ok": False, "id": tid, "error": str(exc)}) _get_task_logger().info(json.dumps({"count": len(results), "items": results}, ensure_ascii=False)) return 0 if all(r["ok"] for r in results) else 1 def cmd_delete(*, todo_ids: list[int]) -> int: """批量删除。""" results: list[dict] = [] for tid in todo_ids: deleted = todo_service.delete_todo(tid) results.append({"ok": deleted, "id": tid}) _get_task_logger().info(json.dumps({"count": len(results), "items": results}, ensure_ascii=False)) return 0 if all(r["ok"] for r in results) else 1 def cmd_stats() -> int: print(json.dumps(todo_service.stats(), ensure_ascii=False)) return 0 # ---------------- async 任务范式(demo) ---------------- async def _run_remind_async(*, seconds: int) -> dict[str, Any]: """ 真实平台会推送到任务中心 UI 并支持取消; """ todos = todo_service.get_current_remind_todos() for todo in todos: todo_service.mark_done(todo.id) emit(f"提醒待办 {todo.title}", skill=SKILL_SLUG, stage="remind") summary = todo_service.stats() return {"remind": True, "duration_seconds": len(todos), "stats": summary} def cmd_remind(*, seconds: int = 3) -> int: """演示 async 任务编排。CLI 入口仍走同一内核;Agent 真实调度时 通过 ``run_skill_action``(executionProfile: async)触发。""" log = _get_task_logger() task_type = "cron" with job_context(skill=SKILL_SLUG): log.info("task_start task_type=%s stage=remind", task_type) emit("开始执行提醒任务", skill=SKILL_SLUG, stage="remind") try: result = asyncio.run(_run_remind_async(seconds=seconds)) log.info("task_done task_type=%s status=ok", task_type) finish( status="success", message=f"提醒任务完成", skill=SKILL_SLUG, stage="remind", **result, ) print(json.dumps({"ok": True, "task_type": task_type, **result}, ensure_ascii=False)) return 0 except JobStopped: raise except Exception: log.exception("task_failed task_type=%s", task_type) emit("任务失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="remind") finish( status="failed", message="提醒任务执行异常,详见统一日志", skill=SKILL_SLUG, stage="remind", ) return 1