@@ -16,7 +16,6 @@ from utils.markdown_to_image import get_md2img_health_snapshot, warmup_md2img_br
|
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from utils.ai.llm_registry import LLMRegistry
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from base.plugin_common.plugin_interface import PluginStatus
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from utils.ai.unified_llm import UnifiedLLMClient
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from utils.decorator.async_job import async_job
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# 创建系统信息蓝图
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system_bp = Blueprint('system', __name__)
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@@ -240,269 +239,6 @@ def _extract_redis_runtime_snapshot(db_manager) -> dict:
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return snapshot
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def _parse_snapshot_datetime(value: str | None) -> datetime | None:
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"""把首页摘要里常用的时间字符串安全转换为 datetime。"""
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text = str(value or "").strip()
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if not text:
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||||
return None
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try:
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return datetime.strptime(text, "%Y-%m-%d %H:%M:%S")
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||||
except ValueError:
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return None
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def _count_enabled_runtime_items(items) -> int:
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"""统计启用项数量。
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||||
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兼容原因：
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1. 新版目录模型里 providers/backends/scenes 可能是 dict；
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2. 后台页面某些兜底逻辑里也可能给出 list；
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3. 旧配置没有 enabled 字段时，直接按存在即计数。
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"""
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rows = []
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||||
if isinstance(items, dict):
|
||||
rows = list(items.values())
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elif isinstance(items, list):
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rows = list(items)
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count = 0
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||||
for row in rows:
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||||
if not isinstance(row, dict):
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||||
continue
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||||
if "enabled" not in row or bool(row.get("enabled", True)):
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count += 1
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return count
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||||
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def _extract_llm_catalog_summary() -> dict:
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||||
"""提取首页 LLM 路由配置摘要。
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||||
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||||
这里不做真实调用探测，只回答两个问题：
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1. 运行时有没有可用的场景与目标；
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||||
2. 管理员当前看到的调用记录，大致落到了哪一套路由上。
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||||
"""
|
||||
try:
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||||
catalog = LLMRegistry.get_catalog() or {}
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if catalog:
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||||
providers = catalog.get("providers", {}) or {}
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||||
dify_apps = catalog.get("dify_apps", {}) or {}
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||||
backends = catalog.get("backends", {}) or {}
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||||
scenes = catalog.get("scenes", {}) or {}
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||||
default_scene = str(catalog.get("default_scene") or "").strip()
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default_backend = str(LLMRegistry.get_scene_backend_name(default_scene) or "").strip() if default_scene else ""
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return {
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"provider_count": _count_enabled_runtime_items(providers),
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"scene_count": _count_enabled_runtime_items(scenes),
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"target_count": _count_enabled_runtime_items(backends) + _count_enabled_runtime_items(dify_apps),
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"default_scene": default_scene,
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"default_backend": default_backend,
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"has_routing": _count_enabled_runtime_items(scenes) > 0,
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}
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# 目录模型不存在时回退到 legacy 视图，至少让首页知道“有没有基础路由配置”。
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legacy_llm = LLMRegistry.get_llm_config() or {}
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||||
scenes = legacy_llm.get("scenes", {}) or {}
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||||
backends = legacy_llm.get("backends", {}) or {}
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||||
default_backend = str(legacy_llm.get("default_backend") or "").strip()
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||||
return {
|
||||
"provider_count": 0,
|
||||
"scene_count": len(scenes) if isinstance(scenes, dict) else 0,
|
||||
"target_count": len(backends) if isinstance(backends, dict) else 0,
|
||||
"default_scene": "",
|
||||
"default_backend": default_backend,
|
||||
"has_routing": bool(scenes) or bool(default_backend),
|
||||
}
|
||||
except Exception as llm_catalog_error:
|
||||
logger.warning(f"提取 LLM 路由摘要失败: {llm_catalog_error}")
|
||||
return {
|
||||
"provider_count": 0,
|
||||
"scene_count": 0,
|
||||
"target_count": 0,
|
||||
"default_scene": "",
|
||||
"default_backend": "",
|
||||
"has_routing": False,
|
||||
}
|
||||
|
||||
|
||||
def _extract_ai_runtime_snapshot() -> dict:
|
||||
"""构建首页 LLM 运行态摘要。
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||||
|
||||
设计原则：
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||||
1. 首页只展示“最近调用窗口”的被动观测结果，不主动发请求探活；
|
||||
2. 把最近调用和静态路由配置拼在一起，避免管理员只看到“成功/失败”却不知道走的是哪条链路；
|
||||
3. 如果近期没有调用，也明确区分“未配置”和“已配置但当前空闲”。
|
||||
"""
|
||||
runtime_snapshot = UnifiedLLMClient.get_runtime_snapshot() or {}
|
||||
last_call = dict(runtime_snapshot.get("last_call") or {})
|
||||
catalog_summary = _extract_llm_catalog_summary()
|
||||
|
||||
total_calls = _safe_int(runtime_snapshot.get("total_calls"))
|
||||
failed_calls = _safe_int(runtime_snapshot.get("failed_calls"))
|
||||
success_rate = _safe_float(runtime_snapshot.get("success_rate"))
|
||||
avg_latency_ms = _safe_float(runtime_snapshot.get("avg_latency_ms"))
|
||||
last_error = str(runtime_snapshot.get("last_error") or "").strip()
|
||||
|
||||
snapshot = {
|
||||
**runtime_snapshot,
|
||||
"last_call": last_call,
|
||||
"provider_count": catalog_summary.get("provider_count", 0),
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||||
"scene_count": catalog_summary.get("scene_count", 0),
|
||||
"target_count": catalog_summary.get("target_count", 0),
|
||||
"default_scene": catalog_summary.get("default_scene", ""),
|
||||
"default_backend": catalog_summary.get("default_backend", ""),
|
||||
"has_routing": bool(catalog_summary.get("has_routing")),
|
||||
"last_provider": str(last_call.get("provider") or "").strip(),
|
||||
"last_backend": str(last_call.get("backend") or "").strip(),
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||||
"last_scene": str(last_call.get("scene") or "").strip(),
|
||||
"last_model": str(last_call.get("model") or "").strip(),
|
||||
"last_timestamp": str(last_call.get("timestamp") or "").strip(),
|
||||
"last_latency_ms": _safe_float(last_call.get("latency_ms")),
|
||||
}
|
||||
|
||||
if not snapshot["has_routing"]:
|
||||
snapshot["status"] = "warning"
|
||||
snapshot["summary"] = "当前未发现完整的 LLM 路由配置，建议先检查默认场景与后端绑定"
|
||||
return snapshot
|
||||
|
||||
if total_calls <= 0:
|
||||
snapshot["status"] = "warning"
|
||||
snapshot["summary"] = (
|
||||
f"已配置 {snapshot['scene_count']} 个场景、{snapshot['target_count']} 个目标，"
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||||
"最近窗口内暂无统一 LLM 调用记录"
|
||||
)
|
||||
return snapshot
|
||||
|
||||
if failed_calls >= total_calls and total_calls > 0:
|
||||
snapshot["status"] = "danger"
|
||||
snapshot["summary"] = (
|
||||
f"最近 {total_calls} 次调用全部失败，成功率 {success_rate:.2f}%，"
|
||||
f"平均耗时 {avg_latency_ms:.2f}ms"
|
||||
)
|
||||
return snapshot
|
||||
|
||||
if failed_calls > 0 or last_error:
|
||||
snapshot["status"] = "warning"
|
||||
snapshot["summary"] = (
|
||||
f"最近 {total_calls} 次调用中失败 {failed_calls} 次，成功率 {success_rate:.2f}%，"
|
||||
f"平均耗时 {avg_latency_ms:.2f}ms"
|
||||
)
|
||||
return snapshot
|
||||
|
||||
snapshot["status"] = "healthy"
|
||||
snapshot["summary"] = (
|
||||
f"最近 {total_calls} 次调用全部成功，成功率 {success_rate:.2f}%，"
|
||||
f"平均耗时 {avg_latency_ms:.2f}ms"
|
||||
)
|
||||
return snapshot
|
||||
|
||||
|
||||
def _extract_scheduler_runtime_snapshot() -> dict:
|
||||
"""聚合 async_job 运行态，生成首页任务调度摘要。
|
||||
|
||||
这里的目标不是替代完整任务页，而是回答管理员最常问的几件事：
|
||||
1. 任务有没有正常装载；
|
||||
2. 是否存在失败或非法调度；
|
||||
3. 下一次任务大概何时执行；
|
||||
4. 当前更多是系统任务，还是插件任务在跑。
|
||||
"""
|
||||
runtime_rows = async_job.get_jobs_snapshot()
|
||||
next_run_candidates = []
|
||||
failed_rows = []
|
||||
system_job_count = 0
|
||||
plugin_job_count = 0
|
||||
|
||||
for row in runtime_rows:
|
||||
job_key = str(row.get("job_key") or "").strip()
|
||||
owner_name = str(row.get("owner_name") or "system").strip().lower()
|
||||
next_run_at = _parse_snapshot_datetime(row.get("next_run_at"))
|
||||
last_status = str(row.get("last_status") or "").strip().lower()
|
||||
|
||||
if job_key.startswith("plugin_schedule:") or owner_name != "system":
|
||||
plugin_job_count += 1
|
||||
else:
|
||||
system_job_count += 1
|
||||
|
||||
if bool(row.get("enabled")) and next_run_at:
|
||||
next_run_candidates.append(next_run_at)
|
||||
if last_status in {"failed", "invalid_schedule"}:
|
||||
failed_rows.append(row)
|
||||
|
||||
latest_failed_row = {}
|
||||
if failed_rows:
|
||||
failed_rows.sort(
|
||||
key=lambda row: (
|
||||
_parse_snapshot_datetime(row.get("updated_at"))
|
||||
or _parse_snapshot_datetime(row.get("last_run_at"))
|
||||
or datetime.min
|
||||
),
|
||||
reverse=True,
|
||||
)
|
||||
latest_failed_row = failed_rows[0]
|
||||
|
||||
invalid_jobs = sum(
|
||||
1 for row in runtime_rows if str(row.get("last_status") or "").strip().lower() == "invalid_schedule"
|
||||
)
|
||||
total_jobs = len(runtime_rows)
|
||||
enabled_jobs = sum(1 for row in runtime_rows if bool(row.get("enabled")))
|
||||
running_jobs = sum(1 for row in runtime_rows if bool(row.get("running")))
|
||||
failed_jobs = len(failed_rows)
|
||||
paused_jobs = total_jobs - enabled_jobs
|
||||
never_run_jobs = sum(1 for row in runtime_rows if str(row.get("last_status") or "").strip().lower() == "never")
|
||||
next_run_at_text = min(next_run_candidates).strftime("%Y-%m-%d %H:%M:%S") if next_run_candidates else ""
|
||||
latest_failed_error = str(latest_failed_row.get("last_error") or "").strip()
|
||||
if len(latest_failed_error) > 120:
|
||||
latest_failed_error = f"{latest_failed_error[:117]}..."
|
||||
|
||||
snapshot = {
|
||||
"status": "healthy",
|
||||
"summary": "任务调度运行正常",
|
||||
"total_jobs": total_jobs,
|
||||
"enabled_jobs": enabled_jobs,
|
||||
"running_jobs": running_jobs,
|
||||
"failed_jobs": failed_jobs,
|
||||
"invalid_jobs": invalid_jobs,
|
||||
"paused_jobs": paused_jobs,
|
||||
"never_run_jobs": never_run_jobs,
|
||||
"system_job_count": system_job_count,
|
||||
"plugin_job_count": plugin_job_count,
|
||||
"next_run_at": next_run_at_text,
|
||||
"latest_failed_job_name": str(latest_failed_row.get("name") or "").strip(),
|
||||
"latest_failed_error": latest_failed_error,
|
||||
}
|
||||
|
||||
if total_jobs <= 0:
|
||||
snapshot["status"] = "warning"
|
||||
snapshot["summary"] = "当前没有加载任何定时任务"
|
||||
return snapshot
|
||||
|
||||
if invalid_jobs > 0:
|
||||
snapshot["status"] = "danger"
|
||||
snapshot["summary"] = f"发现 {invalid_jobs} 个任务调度配置非法，建议立即检查任务页"
|
||||
return snapshot
|
||||
|
||||
if failed_jobs > 0:
|
||||
snapshot["status"] = "warning"
|
||||
snapshot["summary"] = (
|
||||
f"最近有 {failed_jobs} 个任务执行失败，"
|
||||
f"下一次执行 {next_run_at_text or '暂未计算'}"
|
||||
)
|
||||
return snapshot
|
||||
|
||||
if enabled_jobs <= 0:
|
||||
snapshot["status"] = "warning"
|
||||
snapshot["summary"] = "任务已加载，但当前没有启用中的调度任务"
|
||||
return snapshot
|
||||
|
||||
if running_jobs > 0:
|
||||
snapshot["summary"] = (
|
||||
f"当前有 {running_jobs} 个任务执行中，"
|
||||
f"下一次执行 {next_run_at_text or '暂未计算'}"
|
||||
)
|
||||
return snapshot
|
||||
|
||||
snapshot["summary"] = f"已启用 {enabled_jobs} 个任务，下一次执行 {next_run_at_text or '暂未计算'}"
|
||||
return snapshot
|
||||
|
||||
|
||||
def _legacy_llm_to_catalog(legacy_llm: dict) -> dict:
|
||||
"""把旧 llm(backends/scenes) 结构转换为新目录结构（仅用于兜底展示）。
|
||||
|
||||
@@ -872,6 +608,20 @@ def api_system_health_summary():
|
||||
mysql_snapshot = _extract_mysql_runtime_snapshot(server.db_manager)
|
||||
redis_snapshot = _extract_redis_runtime_snapshot(server.db_manager)
|
||||
|
||||
# md2img 健康快照已经有现成实现，这里只做聚合，不主动预热运行时。
|
||||
md2img_snapshot = get_md2img_health_snapshot(ensure_runtime=False) or {}
|
||||
browser_ready = bool(
|
||||
md2img_snapshot.get("browser_ready")
|
||||
or md2img_snapshot.get("playwright_ready")
|
||||
or md2img_snapshot.get("ready")
|
||||
)
|
||||
runtime_ready = bool(
|
||||
md2img_snapshot.get("runtime_ready")
|
||||
or md2img_snapshot.get("runtime_initialized")
|
||||
or md2img_snapshot.get("initialized")
|
||||
)
|
||||
md2img_healthy = runtime_ready and browser_ready
|
||||
|
||||
# 首页只需要“够判断”的轻量结论，因此统一产出 status + summary 文本，前端无需重复拼装业务规则。
|
||||
robot_running = bool(getattr(robot, "ipad_running", False))
|
||||
robot_nickname = str(getattr(robot, "nickname", "") or "").strip()
|
||||
@@ -897,11 +647,37 @@ def api_system_health_summary():
|
||||
error_status = "healthy"
|
||||
error_summary = "近 24 小时未记录到异常"
|
||||
|
||||
# 首页 AI 卡片升级为“运行态 + 路由摘要”，仍然保持被动观测，不主动探活。
|
||||
ai_runtime = _extract_ai_runtime_snapshot()
|
||||
if md2img_healthy:
|
||||
md2img_status = "healthy"
|
||||
md2img_summary = "运行时与浏览器均已就绪"
|
||||
elif runtime_ready or browser_ready:
|
||||
md2img_status = "warning"
|
||||
md2img_summary = "运行时部分可用，建议检查预热状态"
|
||||
else:
|
||||
md2img_status = "danger"
|
||||
md2img_summary = "运行时未就绪，相关转图能力可能不可用"
|
||||
|
||||
# Markdown 转图更适合保留在专门页面里排障，首页右侧改成更通用的任务调度摘要。
|
||||
scheduler_runtime = _extract_scheduler_runtime_snapshot()
|
||||
# AI 运行态：
|
||||
# 1. 统一从 UnifiedLLMClient 最近调用窗口读取，避免各插件单独维护监控数据；
|
||||
# 2. 若当前窗口还没有调用记录，就明确返回“暂无调用”，避免误判成异常。
|
||||
ai_runtime = UnifiedLLMClient.get_runtime_snapshot()
|
||||
ai_total_calls = int(ai_runtime.get("total_calls") or 0)
|
||||
ai_failed_calls = int(ai_runtime.get("failed_calls") or 0)
|
||||
if ai_total_calls <= 0:
|
||||
ai_status = "warning"
|
||||
ai_summary = "最近窗口内暂无统一 LLM 调用记录"
|
||||
elif ai_failed_calls > 0:
|
||||
ai_status = "warning"
|
||||
ai_summary = (
|
||||
f"最近 {ai_total_calls} 次调用中失败 {ai_failed_calls} 次，"
|
||||
f"平均耗时 {ai_runtime.get('avg_latency_ms', 0)}ms"
|
||||
)
|
||||
else:
|
||||
ai_status = "healthy"
|
||||
ai_summary = (
|
||||
f"最近 {ai_total_calls} 次调用全部成功，"
|
||||
f"平均耗时 {ai_runtime.get('avg_latency_ms', 0)}ms"
|
||||
)
|
||||
|
||||
return jsonify({
|
||||
"success": True,
|
||||
@@ -943,10 +719,17 @@ def api_system_health_summary():
|
||||
"redis": redis_snapshot,
|
||||
},
|
||||
"ai_runtime": {
|
||||
"status": ai_status,
|
||||
"summary": ai_summary,
|
||||
**ai_runtime,
|
||||
},
|
||||
"scheduler": {
|
||||
**scheduler_runtime,
|
||||
"md2img": {
|
||||
"status": md2img_status,
|
||||
"healthy": md2img_healthy,
|
||||
"runtime_ready": runtime_ready,
|
||||
"browser_ready": browser_ready,
|
||||
"summary": md2img_summary,
|
||||
"detail": md2img_snapshot,
|
||||
},
|
||||
}
|
||||
})
|
||||
|
||||
@@ -131,7 +131,7 @@
|
||||
<div class="section-heading section-heading--stack">
|
||||
<div>
|
||||
<h3>系统健康快照</h3>
|
||||
<p>把连接状态、插件运行、异常数量、LLM 运行态与任务调度集中到一个面板里。</p>
|
||||
<p>把连接状态、插件运行、异常数量与转图运行时集中到一个面板里。</p>
|
||||
</div>
|
||||
<div class="health-overview-meta">
|
||||
<span class="health-overview-meta__label">最近刷新</span>
|
||||
@@ -394,38 +394,15 @@
|
||||
status: 'warning',
|
||||
total_calls: 0,
|
||||
failed_calls: 0,
|
||||
success_rate: 0,
|
||||
avg_latency_ms: 0,
|
||||
summary: '加载中...',
|
||||
last_call: {},
|
||||
scene_count: 0,
|
||||
target_count: 0,
|
||||
provider_count: 0,
|
||||
has_routing: false,
|
||||
default_scene: '',
|
||||
default_backend: '',
|
||||
last_provider: '',
|
||||
last_backend: '',
|
||||
last_scene: '',
|
||||
last_model: '',
|
||||
last_timestamp: '',
|
||||
last_latency_ms: 0,
|
||||
last_error: ''
|
||||
last_call: {}
|
||||
},
|
||||
scheduler: {
|
||||
md2img: {
|
||||
status: 'warning',
|
||||
total_jobs: 0,
|
||||
enabled_jobs: 0,
|
||||
running_jobs: 0,
|
||||
failed_jobs: 0,
|
||||
invalid_jobs: 0,
|
||||
paused_jobs: 0,
|
||||
never_run_jobs: 0,
|
||||
system_job_count: 0,
|
||||
plugin_job_count: 0,
|
||||
next_run_at: '',
|
||||
latest_failed_job_name: '',
|
||||
latest_failed_error: '',
|
||||
healthy: false,
|
||||
runtime_ready: false,
|
||||
browser_ready: false,
|
||||
summary: '加载中...'
|
||||
}
|
||||
},
|
||||
@@ -469,7 +446,7 @@
|
||||
const errors = this.healthSummary.errors || {};
|
||||
const infrastructure = this.healthSummary.infrastructure || {};
|
||||
const aiRuntime = this.healthSummary.ai_runtime || {};
|
||||
const scheduler = this.healthSummary.scheduler || {};
|
||||
const md2img = this.healthSummary.md2img || {};
|
||||
return [
|
||||
{
|
||||
key: 'robot',
|
||||
@@ -506,23 +483,19 @@
|
||||
},
|
||||
{
|
||||
key: 'ai_runtime',
|
||||
title: 'LLM 运行态',
|
||||
title: 'AI 运行态',
|
||||
status: aiRuntime.status || 'warning',
|
||||
value: (aiRuntime.total_calls || 0) > 0
|
||||
? `${this.formatMetricNumber(aiRuntime.success_rate, 2)}%`
|
||||
: `${aiRuntime.scene_count || 0} 个场景`,
|
||||
value: `${aiRuntime.avg_latency_ms || 0} ms`,
|
||||
summary: aiRuntime.summary || '暂无状态',
|
||||
serviceBlocks: this.buildAiRuntimeServiceBlocks(aiRuntime),
|
||||
extra: this.buildAiRuntimeExtra(aiRuntime)
|
||||
extra: `最近调用 ${aiRuntime.total_calls || 0} 次，失败 ${aiRuntime.failed_calls || 0} 次`
|
||||
},
|
||||
{
|
||||
key: 'scheduler',
|
||||
title: '任务调度',
|
||||
status: scheduler.status || 'warning',
|
||||
value: `${scheduler.enabled_jobs || 0} / ${scheduler.total_jobs || 0}`,
|
||||
summary: scheduler.summary || '暂无状态',
|
||||
serviceBlocks: this.buildSchedulerServiceBlocks(scheduler),
|
||||
extra: this.buildSchedulerExtra(scheduler)
|
||||
key: 'md2img',
|
||||
title: 'Markdown 转图',
|
||||
status: md2img.status || 'warning',
|
||||
value: md2img.healthy ? '就绪' : '待检查',
|
||||
summary: md2img.summary || '暂无状态',
|
||||
extra: `Runtime ${md2img.runtime_ready ? '已就绪' : '未就绪'} / Browser ${md2img.browser_ready ? '已就绪' : '未就绪'}`
|
||||
}
|
||||
];
|
||||
}
|
||||
@@ -684,141 +657,6 @@
|
||||
}
|
||||
];
|
||||
},
|
||||
buildAiRuntimeServiceBlocks(aiRuntime) {
|
||||
// AI 卡片拆成“路由配置”和“最近调用”两个子面板，
|
||||
// 让首页既能判断配置是否完整，也能快速定位最近请求到底走了哪条链路。
|
||||
return [
|
||||
{
|
||||
key: 'ai-routing',
|
||||
title: '路由配置',
|
||||
status: aiRuntime.has_routing ? 'healthy' : 'warning',
|
||||
summary: aiRuntime.default_scene
|
||||
? `默认场景：${aiRuntime.default_scene}`
|
||||
: '当前未设置默认场景',
|
||||
metrics: [
|
||||
{
|
||||
label: '场景数量',
|
||||
value: this.formatMetricNumber(aiRuntime.scene_count)
|
||||
},
|
||||
{
|
||||
label: '目标数量',
|
||||
value: this.formatMetricNumber(aiRuntime.target_count)
|
||||
},
|
||||
{
|
||||
label: 'Provider 模板',
|
||||
value: this.formatMetricNumber(aiRuntime.provider_count)
|
||||
},
|
||||
{
|
||||
label: '默认后端',
|
||||
value: aiRuntime.default_backend || '-'
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
key: 'ai-last-call',
|
||||
title: '最近调用',
|
||||
status: (aiRuntime.failed_calls || 0) > 0 ? 'warning' : ((aiRuntime.total_calls || 0) > 0 ? 'healthy' : 'warning'),
|
||||
summary: aiRuntime.last_timestamp
|
||||
? `最近一次记录时间：${aiRuntime.last_timestamp}`
|
||||
: '当前窗口内暂无调用记录',
|
||||
metrics: [
|
||||
{
|
||||
label: 'Provider',
|
||||
value: aiRuntime.last_provider || '-'
|
||||
},
|
||||
{
|
||||
label: 'Backend',
|
||||
value: aiRuntime.last_backend || '-'
|
||||
},
|
||||
{
|
||||
label: 'Scene',
|
||||
value: aiRuntime.last_scene || '-'
|
||||
},
|
||||
{
|
||||
label: '模型',
|
||||
value: aiRuntime.last_model || '-'
|
||||
},
|
||||
{
|
||||
label: '最近耗时',
|
||||
value: `${this.formatMetricNumber(aiRuntime.last_latency_ms, 2)} ms`
|
||||
},
|
||||
{
|
||||
label: '最近错误',
|
||||
value: aiRuntime.last_error || '无'
|
||||
}
|
||||
]
|
||||
}
|
||||
];
|
||||
},
|
||||
buildAiRuntimeExtra(aiRuntime) {
|
||||
return `最近调用 ${aiRuntime.total_calls || 0} 次，失败 ${aiRuntime.failed_calls || 0} 次，平均耗时 ${this.formatMetricNumber(aiRuntime.avg_latency_ms, 2)} ms`;
|
||||
},
|
||||
buildSchedulerServiceBlocks(scheduler) {
|
||||
// 任务调度卡片只保留首页最需要的摘要：
|
||||
// 任务装载量、执行态、失败数，以及系统任务/插件任务的大致构成。
|
||||
return [
|
||||
{
|
||||
key: 'scheduler-overview',
|
||||
title: '任务装载',
|
||||
status: scheduler.enabled_jobs > 0 ? 'healthy' : 'warning',
|
||||
summary: scheduler.next_run_at
|
||||
? `下一次执行：${scheduler.next_run_at}`
|
||||
: '当前没有可计算的下一次执行时间',
|
||||
metrics: [
|
||||
{
|
||||
label: '启用任务',
|
||||
value: this.formatMetricNumber(scheduler.enabled_jobs)
|
||||
},
|
||||
{
|
||||
label: '暂停任务',
|
||||
value: this.formatMetricNumber(scheduler.paused_jobs)
|
||||
},
|
||||
{
|
||||
label: '系统任务',
|
||||
value: this.formatMetricNumber(scheduler.system_job_count)
|
||||
},
|
||||
{
|
||||
label: '插件任务',
|
||||
value: this.formatMetricNumber(scheduler.plugin_job_count)
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
key: 'scheduler-runtime',
|
||||
title: '执行状态',
|
||||
status: scheduler.status || 'warning',
|
||||
summary: scheduler.latest_failed_job_name
|
||||
? `最近失败任务：${scheduler.latest_failed_job_name}`
|
||||
: '当前未发现最近失败任务',
|
||||
metrics: [
|
||||
{
|
||||
label: '执行中',
|
||||
value: this.formatMetricNumber(scheduler.running_jobs)
|
||||
},
|
||||
{
|
||||
label: '失败任务',
|
||||
value: this.formatMetricNumber(scheduler.failed_jobs)
|
||||
},
|
||||
{
|
||||
label: '非法调度',
|
||||
value: this.formatMetricNumber(scheduler.invalid_jobs)
|
||||
},
|
||||
{
|
||||
label: '未执行过',
|
||||
value: this.formatMetricNumber(scheduler.never_run_jobs)
|
||||
}
|
||||
]
|
||||
}
|
||||
];
|
||||
},
|
||||
buildSchedulerExtra(scheduler) {
|
||||
if (scheduler.latest_failed_error) {
|
||||
return `最近失败原因：${scheduler.latest_failed_error}`;
|
||||
}
|
||||
return scheduler.next_run_at
|
||||
? `下次执行时间：${scheduler.next_run_at}`
|
||||
: '当前暂无可用的下一次执行时间';
|
||||
},
|
||||
renderPieChart(chartId, usageValue, label) {
|
||||
const ctx = document.getElementById(chartId);
|
||||
if (!ctx) return;
|
||||
|
||||
Reference in New Issue
Block a user