311 lines
11 KiB
Python
311 lines
11 KiB
Python
"""任务编排层（对齐模板 task_service.py 的职责分工）。
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- ``cmd_health`` / ``cmd_version`` / ``cmd_config_path`` / ``cmd_init_db``：标准 CLI；
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- ``cmd_remind``：演示 async 任务范式（``job_context`` + ``emit`` + ``finish``），
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真实平台会推送到任务中心 UI；本 demo 在 stdout 打印 JSON Lines 模拟。
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业务内核（CRUD）在 ``todo_service``，本模块只做编排，不复制业务逻辑。
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"""
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from __future__ import annotations
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import asyncio
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import json
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import os
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import time
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from typing import Any, Optional
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import uuid
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from jiangchang_skill_core import collect_runtime_diagnostics, config, format_runtime_health_lines
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from jiangchang_skill_core.activity import JobStopped, emit, finish, job_context
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from jiangchang_skill_core.rpa.video_session import RpaVideoSession
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from service.entitlement_service import check_entitlement
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from service.task_run_support import (
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_print_video_summary,
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build_video_info,
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merge_video_into_result_summary,
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)
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from util.constants import LOG_LOGGER_NAME, PLATFORM_KIT_MIN_VERSION, SKILL_SLUG, SKILL_VERSION
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from util.logging_config import get_skill_logger, setup_skill_logging
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from util.runtime_paths import get_db_path, get_skill_data_dir, get_skill_root
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from db.connection import init_db
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from service import todo_service
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def _get_task_logger():
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try:
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return get_skill_logger()
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except RuntimeError:
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setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
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return get_skill_logger()
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async def _run_template_demo(target: Optional[str], input_id: Optional[str]) -> tuple[int, dict[str, Any]]:
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"""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。"""
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batch_id = uuid.uuid4().hex[:12]
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data_dir = get_skill_data_dir()
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async with RpaVideoSession(
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skill_slug=SKILL_SLUG,
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skill_data_dir=data_dir,
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batch_id=batch_id,
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title="开始执行示例任务",
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closing_title="示例任务执行完成",
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) as video:
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video.add_step("准备执行示例任务")
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if target:
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video.add_step(f"接收目标参数：{target}")
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if input_id:
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video.add_step(f"接收输入标识：{input_id}")
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video.add_step("示例任务执行完成")
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video_summary = video.summary()
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video_info = build_video_info(video_summary, {}, {})
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return 1, video_info
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def cmd_run(target: Optional[str] = None, input_id: Optional[str] = None) -> int:
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"""通用任务执行入口模板。复制后请实现真实业务逻辑。"""
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log = _get_task_logger()
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task_type = "demo"
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with job_context(skill=SKILL_SLUG):
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log.info(
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"task_start task_type=%s target_id=%s input_id=%s stage=run",
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task_type,
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target,
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input_id,
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)
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emit("开始处理任务", skill=SKILL_SLUG, stage="run")
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try:
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ok, reason = check_entitlement(SKILL_SLUG)
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if not ok:
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log.warning(
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"entitlement_failed task_type=%s stage=auth error_code=ENTITLEMENT_DENIED",
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task_type,
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)
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emit("鉴权失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="auth")
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finish(
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status="failed",
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message=reason,
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skill=SKILL_SLUG,
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error_code="ENTITLEMENT_DENIED",
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stage="auth",
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)
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print(f"ERROR:ENTITLEMENT_DENIED {reason}")
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return 1
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log.info("entitlement_ok task_type=%s stage=auth", task_type)
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log.info("rpa_start stage=demo_prepare task_type=%s", task_type)
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log.info("task_run_demo_start target_id=%s input_id=%s stage=demo_prepare", target, input_id)
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rc, video_info = asyncio.run(_run_template_demo(target, input_id))
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log.info("rpa_done stage=demo_prepare status=ok")
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log.info(
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"task_run_demo_done target_id=%s input_id=%s stage=demo_finish status=failed",
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target,
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input_id,
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)
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_print_video_summary(video_info)
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summary_payload = merge_video_into_result_summary(
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{
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"template_demo": True,
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"target": target,
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"input_id": input_id,
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},
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video_info,
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)
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log.warning(
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"task_failed task_type=%s stage=demo_finish error_code=TEMPLATE_STUB",
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task_type,
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)
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finish(
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status="failed",
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message="模板仓库未实现真实业务",
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skill=SKILL_SLUG,
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error_code="TEMPLATE_STUB",
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**summary_payload,
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)
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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。")
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return rc
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except JobStopped:
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raise
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except Exception:
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log.exception(
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"task_failed task_type=%s target_id=%s input_id=%s",
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task_type,
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target,
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input_id,
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)
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emit("任务失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="run")
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finish(
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status="failed",
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message="任务执行异常，详见统一日志",
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skill=SKILL_SLUG,
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stage="run",
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)
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return 1
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# ---------------- 标准命令（sync，当场返回） ----------------
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def cmd_config_path() -> int:
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example_path = os.path.join(get_skill_root(), ".env.example")
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env_path = config.get_env_file_path() or ""
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print(json.dumps(
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{"skill": SKILL_SLUG, "env_path": env_path, "example_path": os.path.abspath(example_path)},
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ensure_ascii=False,
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))
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return 0
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def cmd_health() -> int:
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runtime = collect_runtime_diagnostics(
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skill_slug=SKILL_SLUG,
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platform_kit_min_version=PLATFORM_KIT_MIN_VERSION,
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skill_root=get_skill_root(),
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)
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example_path = os.path.join(get_skill_root(), ".env.example")
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env_path = config.get_env_file_path() or ""
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env_exists = bool(env_path and os.path.isfile(env_path))
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health_status = "failed" if runtime.has_fatal_issues else "ok"
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lines = [
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f"{SKILL_SLUG} health: {health_status}",
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*format_runtime_health_lines(runtime),
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f"env_path: {env_path}",
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f"env_exists: {env_exists}",
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f"example_path: {os.path.abspath(example_path)}",
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f"db_path: {get_db_path()}",
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]
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for line in lines:
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print(line)
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return 1 if runtime.has_fatal_issues else 0
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def cmd_version() -> int:
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print(json.dumps({"version": SKILL_VERSION, "skill": SKILL_SLUG}, ensure_ascii=False))
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return 0
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def cmd_init_db() -> int:
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"""幂等创建本地 SQLite 与数据管理元数据。"""
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try:
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init_db()
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except Exception as exc: # CLI 边界统一成可机读失败
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print(json.dumps(
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{"ok": False, "skill": SKILL_SLUG, "error": str(exc)},
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ensure_ascii=False,
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))
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return 1
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print(json.dumps(
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{"ok": True, "skill": SKILL_SLUG, "db_path": get_db_path()},
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ensure_ascii=False,
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))
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return 0
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# ---------------- 业务命令（sync） ----------------
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def cmd_list(*, status: Optional[str] = None, limit: int = 100) -> int:
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todos = todo_service.list_todos(status=status, limit=limit)
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_get_task_logger().info(json.dumps(
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{"count": len(todos), "items": [t.to_dict() for t in todos]},
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ensure_ascii=False,
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))
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return 0
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def cmd_add(*, title: str, priority: str = "normal", due_at: Optional[int] = None) -> int:
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try:
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todo = todo_service.add_todo(title=title, priority=priority, due_at=due_at)
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except ValueError as exc:
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_get_task_logger().error(f"ERROR:TODO_INVALID: {exc}")
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return 1
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_get_task_logger().info(json.dumps(todo.to_dict(), ensure_ascii=False))
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return 0
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def cmd_done(*, todo_ids: list[int]) -> int:
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"""批量标记完成。返回 JSON 列表，每项含 ok/id/error。"""
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results: list[dict] = []
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for tid in todo_ids:
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try:
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todo = todo_service.mark_done(tid)
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results.append({"ok": True, "id": tid, "todo": todo.to_dict()})
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except ValueError as exc:
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results.append({"ok": False, "id": tid, "error": str(exc)})
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_get_task_logger().info(json.dumps({"count": len(results), "items": results}, ensure_ascii=False))
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return 0 if all(r["ok"] for r in results) else 1
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def cmd_delete(*, todo_ids: list[int]) -> int:
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"""批量删除。"""
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results: list[dict] = []
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for tid in todo_ids:
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deleted = todo_service.delete_todo(tid)
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results.append({"ok": deleted, "id": tid})
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_get_task_logger().info(json.dumps({"count": len(results), "items": results}, ensure_ascii=False))
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return 0 if all(r["ok"] for r in results) else 1
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def cmd_stats() -> int:
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print(json.dumps(todo_service.stats(), ensure_ascii=False))
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return 0
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# ---------------- async 任务范式（demo） ----------------
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async def _run_remind_async(*, seconds: int) -> dict[str, Any]:
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"""模拟长耗时任务：每秒 emit 一次进度，最后 finish 终态。
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真实平台会推送到任务中心 UI 并支持取消；本 demo 在 stdout 打印 JSON Lines。
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"""
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steps = max(1, int(seconds))
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for i in range(1, steps + 1):
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await interruptible_sleep(1)
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emit(f"提醒任务进度 {i}/{steps}", skill=SKILL_SLUG, stage="remind", progress=i, total=steps)
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# 真实业务在这里会查 todos 表挑出 due/pending 项发出提醒；demo 不做真实推送
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summary = todo_service.stats()
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return {"remind": True, "duration_seconds": steps, "stats": summary}
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def cmd_remind(*, seconds: int = 3) -> int:
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"""演示 async 任务编排。CLI 入口仍走同一内核；Agent 真实调度时
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通过 ``run_skill_action``（executionProfile: async）触发。"""
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log = _get_task_logger()
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task_type = "remind"
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with job_context(skill=SKILL_SLUG):
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log.info("task_start task_type=%s stage=remind seconds=%s", task_type, seconds)
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emit("开始执行提醒任务", skill=SKILL_SLUG, stage="remind")
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try:
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result = asyncio.run(_run_remind_async(seconds=seconds))
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log.info("task_done task_type=%s status=ok", task_type)
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finish(
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status="ok",
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message=f"提醒任务完成，处理 {seconds} 秒",
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skill=SKILL_SLUG,
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stage="remind",
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**result,
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)
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print(json.dumps({"ok": True, "task_type": task_type, **result}, ensure_ascii=False))
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return 0
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except JobStopped:
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raise
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except Exception:
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log.exception("task_failed task_type=%s", task_type)
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emit("任务失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="remind")
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finish(
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status="failed",
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message="提醒任务执行异常，详见统一日志",
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skill=SKILL_SLUG,
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stage="remind",
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)
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return 1
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