576 lines
24 KiB
Python
576 lines
24 KiB
Python
"""任务编排层：job_context / emit / finish、鉴权与错误转换。
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领域业务在 ``service/verify_service.py``（核验内核）、
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``service/threshold_service.py``（门槛/案例/统计）、
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``service/report_service.py``（HTML 简报），由本模块调用；
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多入口（CLI / Action / 对话 / cron）复用同一内核，禁止按入口分叉业务。
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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 uuid
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from typing import Any, Optional
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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_root
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from db.connection import init_db
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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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def _print_json(payload: dict[str, Any]) -> None:
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print(json.dumps(payload, ensure_ascii=False))
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# ---------------------------------------------------------------------------
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# 模板演示入口（保留：满足 POLICY-RPA-003 录屏集成与 CLI run 契约；不承载本技能业务）
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# ---------------------------------------------------------------------------
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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_root()
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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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"""模板演示入口：本技能主能力请使用 broadcast 等业务命令。"""
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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="模板演示入口未承载本技能业务",
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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 这是模板演示入口，请使用 verify-metric 命令执行职称硬指标核验。")
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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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# ---------------------------------------------------------------------------
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# 基础命令
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# ---------------------------------------------------------------------------
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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(
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{
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"skill": SKILL_SLUG,
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"env_path": env_path,
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"example_path": os.path.abspath(example_path),
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}
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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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]
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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({"version": SKILL_VERSION, "skill": SKILL_SLUG})
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return 0
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def cmd_init_db() -> int:
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"""幂等创建/迁移本地 SQLite 与数据管理元数据（宿主 install/upgrade 可调用）。"""
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log = _get_task_logger()
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try:
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init_db()
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except Exception as exc: # noqa: BLE001 — CLI 边界，统一成可机读失败
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print(
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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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)
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return 1
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_print_json({"ok": True, "skill": SKILL_SLUG, "db_path": get_db_path()})
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return 0
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# ---------------------------------------------------------------------------
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# 门槛库维护
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# ---------------------------------------------------------------------------
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def _parse_json_arg(raw: str, label: str) -> list[dict[str, Any]]:
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import sys
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text = (raw or "").strip()
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if not text:
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raise ValueError(f"缺少导入 JSON（{label}）")
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if text == "-":
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text = sys.stdin.read().strip()
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elif text.startswith(("[", "{")):
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pass
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elif os.path.isfile(text):
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with open(text, encoding="utf-8") as f:
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text = f.read().strip()
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else:
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raise ValueError(f"{label} 不是有效文件路径或 JSON：{text[:80]}")
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try:
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payload = json.loads(text)
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except json.JSONDecodeError as exc:
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raise ValueError(f"导入 JSON 解析失败：{exc}") from exc
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if isinstance(payload, dict):
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for key in ("thresholds", "cases", "items"):
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if isinstance(payload.get(key), list):
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payload = payload[key]
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break
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else:
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payload = [payload]
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if not isinstance(payload, list):
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raise ValueError(f"{label} 应为对象数组")
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return payload
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def cmd_set_threshold(
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*,
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rank: str,
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metric_key: str,
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metric_name: str = "",
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min_value: float,
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unit: str = "",
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basis_doc: str = "",
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clause: str = "",
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) -> int:
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log = _get_task_logger()
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from service.threshold_service import upsert_threshold
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with job_context(skill=SKILL_SLUG):
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log.info("task_start task_type=set_threshold rank=%s metric=%s stage=threshold", rank, metric_key)
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emit("开始更新评审门槛", skill=SKILL_SLUG, stage="threshold")
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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("entitlement_failed task_type=set_threshold stage=auth")
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finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
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print(f"ERROR:ENTITLEMENT_DENIED {reason}")
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return 1
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payload = upsert_threshold({
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"rank": rank,
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"metric_key": metric_key,
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"metric_name": metric_name,
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"min_value": float(min_value),
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"unit": unit,
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"basis_doc": basis_doc,
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"clause": clause,
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})
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_print_json(payload)
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finish(status="success", message=f"门槛已更新：{rank}/{metric_key}", skill=SKILL_SLUG, stage="threshold")
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return 0
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except ValueError as exc:
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log.warning("task_failed task_type=set_threshold error_code=THRESHOLD_INVALID detail=%s", exc)
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finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="THRESHOLD_INVALID", stage="threshold")
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print(f"ERROR:THRESHOLD_INVALID {exc}")
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return 1
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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=set_threshold stage=threshold")
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finish(status="failed", message="门槛更新异常，详见统一日志", skill=SKILL_SLUG, stage="threshold")
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return 1
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def cmd_import_thresholds(thresholds_json: str) -> int:
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log = _get_task_logger()
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from service.threshold_service import import_thresholds
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with job_context(skill=SKILL_SLUG):
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log.info("task_start task_type=import_thresholds stage=threshold")
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emit("开始批量导入门槛", skill=SKILL_SLUG, stage="threshold")
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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("entitlement_failed task_type=import_thresholds stage=auth")
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finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
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print(f"ERROR:ENTITLEMENT_DENIED {reason}")
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return 1
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rows = _parse_json_arg(thresholds_json, "--thresholds-json")
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payload = import_thresholds(rows)
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_print_json(payload)
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finish(status="success", message=f"导入完成：新增 {payload['created']}，更新 {payload['updated']}", skill=SKILL_SLUG, stage="threshold")
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return 0
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except ValueError as exc:
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log.warning("task_failed task_type=import_thresholds error_code=THRESHOLD_INVALID detail=%s", exc)
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finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="THRESHOLD_INVALID", stage="threshold")
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print(f"ERROR:THRESHOLD_INVALID {exc}")
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return 1
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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=import_thresholds stage=threshold")
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finish(status="failed", message="门槛导入异常，详见统一日志", skill=SKILL_SLUG, stage="threshold")
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return 1
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def cmd_view_thresholds(rank: str = "") -> int:
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log = _get_task_logger()
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from service.threshold_service import list_thresholds
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with job_context(skill=SKILL_SLUG):
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log.info("task_start task_type=view_thresholds rank=%s", rank)
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try:
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thresholds = list_thresholds(rank=rank)
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_print_json({"ok": True, "count": len(thresholds), "thresholds": thresholds})
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return 0
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except Exception:
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log.exception("task_failed task_type=view_thresholds")
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print("ERROR:QUERY_FAILED 门槛查询异常，详见统一日志")
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return 1
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# ---------------------------------------------------------------------------
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# 核验主命令
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# ---------------------------------------------------------------------------
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def cmd_verify_metric(
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*,
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teacher_name: str,
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apply_rank: str,
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metrics_json: str,
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department: str = "",
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) -> int:
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"""职称硬指标核验（主命令，同步）。"""
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log = _get_task_logger()
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from db.seed_data import KNOWN_RANKS
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from service.verify_service import run_verify
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with job_context(skill=SKILL_SLUG):
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log.info("task_start task_type=verify_metric teacher=%s rank=%s stage=verify", teacher_name, apply_rank)
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emit("开始职称硬指标核验", skill=SKILL_SLUG, stage="verify")
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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("entitlement_failed task_type=verify_metric stage=auth")
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finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
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print(f"ERROR:ENTITLEMENT_DENIED {reason}")
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return 1
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metrics = _parse_json_arg(metrics_json, "--metrics-json")
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if not metrics:
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raise ValueError("申报指标 JSON 为空")
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if len(metrics) > 1:
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raise ValueError("verify-metric 仅支持单个申报案例；多个案例请放入 input 目录走 verify-batch-input")
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case = dict(metrics[0])
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if teacher_name:
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case.setdefault("teacherName", teacher_name)
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if department:
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case.setdefault("department", department)
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case.setdefault("applyRank", apply_rank)
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final_rank = str(case.get("applyRank") or "").strip()
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if final_rank not in KNOWN_RANKS:
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message = f"申报级别只接受 {'、'.join(KNOWN_RANKS)}：{final_rank or '（未提供）'}"
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log.warning("task_failed task_type=verify_metric error_code=RANK_INVALID stage=verify")
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finish(status="failed", message=message, skill=SKILL_SLUG, error_code="RANK_INVALID", stage="verify")
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print(f"ERROR:RANK_INVALID {message}")
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return 1
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result = run_verify([case])
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brief = result["reports"][0]
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_print_json({
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"ok": True,
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"batch_no": result["batch_no"],
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"case_id": brief["case_id"],
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"teacher_name": brief["teacher_name"],
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"verdict": brief["verdict"],
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"summary": brief["summary"],
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"matrix": brief["matrix"],
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"report_file": brief["report_file"],
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"disclaimer": result["disclaimer"],
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})
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finish(
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status="success",
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message=f"核验完成：{brief['teacher_name']} 结论 {brief['verdict']}",
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skill=SKILL_SLUG,
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stage="verify",
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batch_no=result["batch_no"],
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)
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return 0
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except JobStopped:
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raise
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except ValueError as exc:
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log.warning("task_failed task_type=verify_metric error_code=METRIC_INVALID detail=%s", exc)
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finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="METRIC_INVALID", stage="verify")
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print(f"ERROR:METRIC_INVALID {exc}")
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return 1
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except Exception:
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log.exception("task_failed task_type=verify_metric stage=verify")
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emit("核验失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="verify")
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finish(status="failed", message="核验执行异常，详见统一日志", skill=SKILL_SLUG, stage="verify")
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return 1
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def cmd_verify_batch_input() -> int:
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"""批量核验（async Action 入口）：核验 input/ 目录中的申报案例 JSON。
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坏文件（解析失败/非对象数组）跳过并告警，不中断整批；级别非法的案例由内核报错。
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"""
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log = _get_task_logger()
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from service.verify_service import collect_input_cases, run_verify
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from util.runtime_paths import get_input_dir
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with job_context(skill=SKILL_SLUG):
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log.info("task_start task_type=verify_batch stage=batch")
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emit("开始批量核验", skill=SKILL_SLUG, stage="batch")
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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("entitlement_failed task_type=verify_batch stage=auth")
|
||
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
|
||
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
|
||
return 1
|
||
|
||
input_dir = get_input_dir()
|
||
cases, skipped_files = collect_input_cases(input_dir)
|
||
for entry in skipped_files:
|
||
log.warning("batch_input_file_skipped file=%s reason=%s stage=batch", entry["file"], entry["reason"])
|
||
emit(f"{entry['file']}：{entry['reason']}，该文件已跳过", type="warn", skill=SKILL_SLUG, stage="batch")
|
||
if not cases:
|
||
message = f"input 目录没有可用的申报案例 JSON（{len(skipped_files)} 个文件无法解析）：{input_dir}"
|
||
log.warning("task_failed task_type=verify_batch error_code=METRIC_INVALID stage=batch")
|
||
finish(status="failed", message=message, skill=SKILL_SLUG, error_code="METRIC_INVALID", stage="batch")
|
||
print(f"ERROR:METRIC_INVALID {message}")
|
||
return 1
|
||
|
||
result = run_verify(cases)
|
||
for index, brief in enumerate(result["reports"], start=1):
|
||
emit(
|
||
f"[{index}/{len(result['reports'])}] {brief['teacher_name']}：{brief['verdict']}",
|
||
skill=SKILL_SLUG,
|
||
stage="batch",
|
||
)
|
||
_print_json({
|
||
"ok": True,
|
||
"batch_no": result["batch_no"],
|
||
"count": result["count"],
|
||
"verdict_counts": result["verdict_counts"],
|
||
"skipped_files": skipped_files,
|
||
"brief_file": result["brief_file"],
|
||
})
|
||
finish(status="success", message=f"批量核验完成 {result['count']} 个案例", skill=SKILL_SLUG, stage="batch", batch_no=result["batch_no"])
|
||
return 0
|
||
except JobStopped:
|
||
raise
|
||
except Exception:
|
||
log.exception("task_failed task_type=verify_batch stage=batch")
|
||
emit("批量核验失败，已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="batch")
|
||
finish(status="failed", message="批量核验执行异常，详见统一日志", skill=SKILL_SLUG, stage="batch")
|
||
return 1
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# 案例与统计
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def cmd_list_cases(limit: int = 20, verdict: str = "") -> int:
|
||
log = _get_task_logger()
|
||
from service.threshold_service import list_cases
|
||
|
||
with job_context(skill=SKILL_SLUG):
|
||
log.info("task_start task_type=list_cases limit=%s verdict=%s", limit, verdict)
|
||
try:
|
||
cases = list_cases(limit=limit, verdict=verdict)
|
||
_print_json({"ok": True, "count": len(cases), "cases": cases})
|
||
return 0
|
||
except Exception:
|
||
log.exception("task_failed task_type=list_cases")
|
||
print("ERROR:QUERY_FAILED 核验案例查询异常，详见统一日志")
|
||
return 1
|
||
|
||
|
||
def cmd_show_case(case_id: int) -> int:
|
||
log = _get_task_logger()
|
||
from service.threshold_service import get_case
|
||
|
||
with job_context(skill=SKILL_SLUG):
|
||
log.info("task_start task_type=show_case case_id=%s", case_id)
|
||
try:
|
||
case = get_case(int(case_id))
|
||
_print_json({"ok": True, "case": case})
|
||
return 0
|
||
except ValueError as exc:
|
||
log.warning("task_failed task_type=show_case error_code=CASE_NOT_FOUND detail=%s", exc)
|
||
print(f"ERROR:CASE_NOT_FOUND {exc}")
|
||
return 1
|
||
except Exception:
|
||
log.exception("task_failed task_type=show_case")
|
||
print("ERROR:QUERY_FAILED 核验案例查询异常，详见统一日志")
|
||
return 1
|
||
|
||
|
||
def cmd_render_html(report_id: Optional[int] = None) -> int:
|
||
log = _get_task_logger()
|
||
from service.report_service import build_report_for_case_id
|
||
from service.threshold_service import list_cases
|
||
|
||
with job_context(skill=SKILL_SLUG):
|
||
log.info("task_start task_type=render_html report_id=%s stage=render", report_id)
|
||
try:
|
||
if report_id:
|
||
targets = [int(report_id)]
|
||
else:
|
||
targets = [c["id"] for c in list_cases(limit=10)]
|
||
if not targets:
|
||
log.warning("task_failed task_type=render_html error_code=CASE_NOT_FOUND stage=render")
|
||
finish(status="failed", message="暂无可重建的核验案例", skill=SKILL_SLUG, error_code="CASE_NOT_FOUND", stage="render")
|
||
print("ERROR:CASE_NOT_FOUND 暂无可重建的核验案例")
|
||
return 1
|
||
written = [{"case_id": cid, "path": build_report_for_case_id(cid)} for cid in targets]
|
||
_print_json({"ok": True, "count": len(written), "reports": written})
|
||
finish(status="success", message=f"已重建 {len(written)} 份核验报告", skill=SKILL_SLUG, stage="render")
|
||
return 0
|
||
except JobStopped:
|
||
raise
|
||
except ValueError as exc:
|
||
log.warning("task_failed task_type=render_html error_code=CASE_NOT_FOUND detail=%s", exc)
|
||
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="CASE_NOT_FOUND", stage="render")
|
||
print(f"ERROR:CASE_NOT_FOUND {exc}")
|
||
return 1
|
||
except Exception:
|
||
log.exception("task_failed task_type=render_html stage=render")
|
||
finish(status="failed", message="报告重建异常，详见统一日志", skill=SKILL_SLUG, stage="render")
|
||
return 1
|
||
|
||
|
||
def cmd_stats() -> int:
|
||
log = _get_task_logger()
|
||
from service.threshold_service import stats
|
||
|
||
with job_context(skill=SKILL_SLUG):
|
||
log.info("task_start task_type=stats")
|
||
try:
|
||
_print_json(stats())
|
||
return 0
|
||
except Exception:
|
||
log.exception("task_failed task_type=stats")
|
||
print("ERROR:QUERY_FAILED 统计查询异常，详见统一日志")
|
||
return 1
|