feat: 职称评审核验助手首版 v1.0.1(verify-promotion-metric-default)
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chenfuqiang
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"""任务编排层:job_context / emit / finish、鉴权与错误转换。
领域业务在 ``service/verify_service.py``(核验内核)、
``service/threshold_service.py``(门槛/案例/统计)、
``service/report_service.py``(HTML 简报),由本模块调用;
多入口(CLI / Action / 对话 / cron)复用同一内核,禁止按入口分叉业务。
"""
from __future__ import annotations
import asyncio
import json
import os
import uuid
from typing import Any, Optional
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_root
from db.connection import init_db
def _get_task_logger():
try:
return get_skill_logger()
except RuntimeError:
setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
return get_skill_logger()
def _print_json(payload: dict[str, Any]) -> None:
print(json.dumps(payload, ensure_ascii=False))
# ---------------------------------------------------------------------------
# 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)
# ---------------------------------------------------------------------------
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_root()
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:
"""模板演示入口:本技能主能力请使用 broadcast 等业务命令。"""
log = _get_task_logger()
task_type = "demo"
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="模板演示入口未承载本技能业务",
skill=SKILL_SLUG,
error_code="TEMPLATE_STUB",
**summary_payload,
)
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。")
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
# ---------------------------------------------------------------------------
# 基础命令
# ---------------------------------------------------------------------------
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(
{
"skill": SKILL_SLUG,
"env_path": env_path,
"example_path": os.path.abspath(example_path),
}
)
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)}",
]
for line in lines:
print(line)
return 1 if runtime.has_fatal_issues else 0
def cmd_version() -> int:
_print_json({"version": SKILL_VERSION, "skill": SKILL_SLUG})
return 0
def cmd_init_db() -> int:
"""幂等创建/迁移本地 SQLite 与数据管理元数据(宿主 install/upgrade 可调用)。"""
log = _get_task_logger()
try:
init_db()
except Exception as exc: # noqa: BLE001 — 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({"ok": True, "skill": SKILL_SLUG, "db_path": get_db_path()})
return 0
# ---------------------------------------------------------------------------
# 门槛库维护
# ---------------------------------------------------------------------------
def _parse_json_arg(raw: str, label: str) -> list[dict[str, Any]]:
import sys
text = (raw or "").strip()
if not text:
raise ValueError(f"缺少导入 JSON({label})")
if text == "-":
text = sys.stdin.read().strip()
elif text.startswith(("[", "{")):
pass
elif os.path.isfile(text):
with open(text, encoding="utf-8") as f:
text = f.read().strip()
else:
raise ValueError(f"{label} 不是有效文件路径或 JSON:{text[:80]}")
try:
payload = json.loads(text)
except json.JSONDecodeError as exc:
raise ValueError(f"导入 JSON 解析失败:{exc}") from exc
if isinstance(payload, dict):
for key in ("thresholds", "cases", "items"):
if isinstance(payload.get(key), list):
payload = payload[key]
break
else:
payload = [payload]
if not isinstance(payload, list):
raise ValueError(f"{label} 应为对象数组")
return payload
def cmd_set_threshold(
*,
rank: str,
metric_key: str,
metric_name: str = "",
min_value: float,
unit: str = "",
basis_doc: str = "",
clause: str = "",
) -> int:
log = _get_task_logger()
from service.threshold_service import upsert_threshold
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=set_threshold rank=%s metric=%s stage=threshold", rank, metric_key)
emit("开始更新评审门槛", skill=SKILL_SLUG, stage="threshold")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=set_threshold stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
payload = upsert_threshold({
"rank": rank,
"metric_key": metric_key,
"metric_name": metric_name,
"min_value": float(min_value),
"unit": unit,
"basis_doc": basis_doc,
"clause": clause,
})
_print_json(payload)
finish(status="success", message=f"门槛已更新:{rank}/{metric_key}", skill=SKILL_SLUG, stage="threshold")
return 0
except ValueError as exc:
log.warning("task_failed task_type=set_threshold error_code=THRESHOLD_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="THRESHOLD_INVALID", stage="threshold")
print(f"ERROR:THRESHOLD_INVALID {exc}")
return 1
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=set_threshold stage=threshold")
finish(status="failed", message="门槛更新异常,详见统一日志", skill=SKILL_SLUG, stage="threshold")
return 1
def cmd_import_thresholds(thresholds_json: str) -> int:
log = _get_task_logger()
from service.threshold_service import import_thresholds
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=import_thresholds stage=threshold")
emit("开始批量导入门槛", skill=SKILL_SLUG, stage="threshold")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=import_thresholds stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
rows = _parse_json_arg(thresholds_json, "--thresholds-json")
payload = import_thresholds(rows)
_print_json(payload)
finish(status="success", message=f"导入完成:新增 {payload['created']},更新 {payload['updated']}", skill=SKILL_SLUG, stage="threshold")
return 0
except ValueError as exc:
log.warning("task_failed task_type=import_thresholds error_code=THRESHOLD_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="THRESHOLD_INVALID", stage="threshold")
print(f"ERROR:THRESHOLD_INVALID {exc}")
return 1
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=import_thresholds stage=threshold")
finish(status="failed", message="门槛导入异常,详见统一日志", skill=SKILL_SLUG, stage="threshold")
return 1
def cmd_view_thresholds(rank: str = "") -> int:
log = _get_task_logger()
from service.threshold_service import list_thresholds
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=view_thresholds rank=%s", rank)
try:
thresholds = list_thresholds(rank=rank)
_print_json({"ok": True, "count": len(thresholds), "thresholds": thresholds})
return 0
except Exception:
log.exception("task_failed task_type=view_thresholds")
print("ERROR:QUERY_FAILED 门槛查询异常,详见统一日志")
return 1
# ---------------------------------------------------------------------------
# 核验主命令
# ---------------------------------------------------------------------------
def cmd_verify_metric(
*,
teacher_name: str,
apply_rank: str,
metrics_json: str,
department: str = "",
) -> int:
"""职称硬指标核验(主命令,同步)。"""
log = _get_task_logger()
from service.verify_service import run_verify
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=verify_metric teacher=%s rank=%s stage=verify", teacher_name, apply_rank)
emit("开始职称硬指标核验", skill=SKILL_SLUG, stage="verify")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=verify_metric stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
metrics = _parse_json_arg(metrics_json, "--metrics-json")
if not metrics:
raise ValueError("申报指标 JSON 为空")
case = metrics[0] if len(metrics) == 1 else dict(metrics[0])
if teacher_name:
case.setdefault("teacherName", teacher_name)
if department:
case.setdefault("department", department)
case.setdefault("applyRank", apply_rank)
result = run_verify([case])
brief = result["reports"][0]
_print_json({
"ok": True,
"batch_no": result["batch_no"],
"case_id": brief["case_id"],
"teacher_name": brief["teacher_name"],
"verdict": brief["verdict"],
"summary": brief["summary"],
"matrix": brief["matrix"],
"report_file": brief["report_file"],
"disclaimer": result["disclaimer"],
})
finish(
status="success",
message=f"核验完成:{brief['teacher_name']} 结论 {brief['verdict']}",
skill=SKILL_SLUG,
stage="verify",
batch_no=result["batch_no"],
)
return 0
except JobStopped:
raise
except ValueError as exc:
log.warning("task_failed task_type=verify_metric error_code=METRIC_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="METRIC_INVALID", stage="verify")
print(f"ERROR:METRIC_INVALID {exc}")
return 1
except Exception:
log.exception("task_failed task_type=verify_metric stage=verify")
emit("核验失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="verify")
finish(status="failed", message="核验执行异常,详见统一日志", skill=SKILL_SLUG, stage="verify")
return 1
def cmd_verify_batch_input() -> int:
"""批量核验(async Action 入口):核验 input/ 目录中的申报案例 JSON。"""
log = _get_task_logger()
from service.verify_service import run_verify
from util.runtime_paths import get_input_dir
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=verify_batch stage=batch")
emit("开始批量核验", skill=SKILL_SLUG, stage="batch")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
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()
files = sorted(
os.path.join(input_dir, name)
for name in os.listdir(input_dir)
if name.lower().endswith(".json")
)
if not files:
message = f"input 目录没有申报案例 JSON:{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
cases = []
for path in files:
with open(path, encoding="utf-8") as f:
payload = json.load(f)
if isinstance(payload, dict):
payload = payload.get("cases") or [payload]
cases.extend(payload)
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"],
"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