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188 lines
7.4 KiB
Python
188 lines
7.4 KiB
Python
#!/usr/bin/env python3
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# Генератор дашборда VESTI для Grafana (provisioning).
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# Соглашения те же, что в node-<host>.json: datasource uid=Prometheus,
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# stat-панели с mapping 0/1, timeseries.
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import json
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DS = {"type": "prometheus", "uid": "Prometheus"}
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# --- утилиты ---
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def stat_panel(title, expr, mapping, idx, w=3, h=3, x=0, y=0, legend=""):
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return {
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"datasource": DS,
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"fieldConfig": {
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"defaults": {
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"color": {"mode": "thresholds"},
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"mappings": ([{"options": mapping, "type": "value"}] if mapping else []),
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"thresholds": {
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"mode": "absolute",
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"steps": [{"color": "red", "value": None}, {"color": "green", "value": 1}],
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},
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"unit": "short",
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},
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"overrides": [],
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},
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"gridPos": {"h": h, "w": w, "x": x, "y": y},
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"id": idx,
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"options": {
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"colorMode": "background",
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"graphMode": "none",
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"justifyMode": "auto",
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"orientation": "auto",
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"reduceOptions": {"calcs": ["lastNotNull"], "fields": "", "values": False},
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"textMode": "auto",
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},
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"pluginVersion": "11.1.0",
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"targets": [{"datasource": DS, "expr": expr, "legendFormat": legend, "refId": "A"}],
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"title": title,
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"type": "stat",
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}
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def timeseries_panel(title, exprs, idx, w=12, h=8, x=0, y=0, unit="short"):
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targets = []
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for e, l in exprs:
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targets.append({"datasource": DS, "expr": e, "legendFormat": l, "refId": chr(65 + len(targets))})
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return {
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"datasource": DS,
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"fieldConfig": {
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"defaults": {
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"color": {"mode": "palette-classic"},
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"custom": {
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"axisCenteredZero": False, "axisColorMode": "text", "axisLabel": "",
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"axisPlacement": "auto", "drawStyle": "line", "fillOpacity": 10,
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"gradientMode": "none", "hideFrom": {"legend": False, "tooltip": False, "viz": False},
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"lineInterpolation": "linear", "lineWidth": 1, "pointSize": 5,
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"scaleDistribution": {"type": "linear"}, "showPoints": "never",
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"spanNulls": False, "stacking": {"group": "A", "mode": "none"},
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"thresholdsStyle": {"mode": "off"},
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},
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"mappings": [],
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"thresholds": {"mode": "absolute", "steps": [{"color": "green", "value": None}]},
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"unit": unit,
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},
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"overrides": [],
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},
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"gridPos": {"h": h, "w": w, "x": x, "y": y},
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"id": idx,
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"options": {
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"legend": {"calcs": [], "displayMode": "list", "placement": "bottom", "showLegend": True},
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"tooltip": {"mode": "multi", "sort": "none"},
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},
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"targets": targets,
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"title": title,
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"type": "timeseries",
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}
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panels = []
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y = 0
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idx = 1
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# Row 1: Доступность (stat, 3x4 = 12 панелей в 2 ряда по 6)
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row_title = {
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"collapsed": False,
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"datasource": DS,
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"gridPos": {"h": 1, "w": 24, "x": 0, "y": y},
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"id": idx, "panels": [], "title": "Доступность компонентов", "type": "row",
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}
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idx += 1
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y += 1
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panels.append(row_title)
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stats = [
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("Web :8400 (systemd)", "vesti_web_up{component=\"vesti\"}", {"0": {"color": "red", "text": "DOWN"}, "1": {"color": "green", "text": "UP"}}),
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("Publisher :8410 (healthz)", "vesti_publisher_health{component=\"vesti\"}", {"0": {"color": "red", "text": "DOWN"}, "1": {"color": "green", "text": "UP"}}),
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("Publisher (Docker)", "vesti_publisher_docker{component=\"vesti\"}", {"0": {"color": "red", "text": "DOWN"}, "1": {"color": "green", "text": "UP"}}),
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("Telegram tunnel :1080", "vesti_telegram_tunnel{component=\"vesti\"}", {"0": {"color": "red", "text": "DOWN"}, "1": {"color": "green", "text": "UP"}}),
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("DB vesti.db", "vesti_db_ok{component=\"vesti\"}", {"0": {"color": "red", "text": "DOWN"}, "1": {"color": "green", "text": "UP"}}),
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("Web systemd unit", "vesti_web_systemd{component=\"vesti\"}", {"0": {"color": "red", "text": "DOWN"}, "1": {"color": "green", "text": "UP"}}),
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]
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x = 0
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for i, (title, expr, mp) in enumerate(stats):
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panels.append(stat_panel(title, expr, mp, idx, w=4, h=3, x=(i % 6) * 4, y=y + (i // 6) * 3))
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idx += 1
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y += 6 # 2 ряда по 3 = 6 строк
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# Row 2: Publisher healthz детали (bot/proxy/channels)
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row2 = {
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"collapsed": False, "datasource": DS,
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"gridPos": {"h": 1, "w": 24, "x": 0, "y": y},
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"id": idx, "panels": [], "title": "Publisher — детали", "type": "row",
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}
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idx += 1
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y += 1
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panels.append(row2)
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for i, (title, expr) in enumerate([
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("Bot identity", 'vesti_publisher_bot{component="vesti"}'),
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("Proxy SOCKS5", 'vesti_publisher_proxy{component="vesti"}'),
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("Channels", 'vesti_publisher_channels{component="vesti"}'),
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]):
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panels.append(stat_panel(title, expr, None, idx, w=4, h=3, x=i * 4, y=y))
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idx += 1
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y += 3
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# Row 3: БД
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row3 = {
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"collapsed": False, "datasource": DS,
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"gridPos": {"h": 1, "w": 24, "x": 0, "y": y},
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"id": idx, "panels": [], "title": "База данных VESTI", "type": "row",
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}
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idx += 1
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y += 1
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panels.append(row3)
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# stat: постов в БД, новых, опубликовано, последний рan
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panels.append(stat_panel("Постов в БД", 'vesti_db_posts_total{component="vesti"}', None, idx, w=4, h=3, x=0, y=y))
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idx += 1
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panels.append(stat_panel("Новых", 'vesti_db_new_total{component="vesti"}', None, idx, w=4, h=3, x=4, y=y))
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idx += 1
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panels.append(stat_panel("Опубликовано", 'vesti_db_published_total{component="vesti"}', None, idx, w=4, h=3, x=8, y=y))
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idx += 1
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# временной ряд последнего рan (ts → время)
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panels.append(timeseries_panel("Последний рan краулера", [('time() - vesti_db_last_run_ts{component="vesti"}', "сек назад")], idx, w=12, h=4, x=12, y=y, unit="s"))
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idx += 1
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y += 4
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# Row 4: Временные ряды доступности (возврат по вре)
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row4 = {
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"collapsed": False, "datasource": DS,
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"gridPos": {"h": 1, "w": 24, "x": 0, "y": y},
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"id": idx, "panels": [], "title": "История доступности (1/0)", "type": "row",
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}
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idx += 1
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y += 1
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panels.append(row4)
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panels.append(timeseries_panel(
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"Доступность компонентов",
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[(f'{m}{{component="vesti"}}', t) for m, t in [
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("vesti_web_up", "web"),
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("vesti_publisher_health", "publisher"),
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("vesti_publisher_docker", "docker"),
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("vesti_telegram_tunnel", "tunnel"),
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("vesti_db_ok", "db"),
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("vesti_web_systemd", "web_sys"),
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]],
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idx, w=24, h=8, x=0, y=y, unit="short"))
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idx += 1
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y += 8
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dashboard = {
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"annotations": {"list": []},
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"editable": True,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 1,
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"id": None,
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"links": [],
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"panels": panels,
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"refresh": "15s",
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"schemaVersion": 1,
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"tags": ["vesti", "bigbox"],
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"time": {"from": "now-6h", "to": "now"},
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"timepicker": [{"refresh": "15s"}],
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"title": "VESTI",
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"uid": "vesti",
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"version": 1,
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}
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with open("/opt/monitoring/grafana/dashboards/vesti/vesti.json", "w") as f:
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json.dump(dashboard, f, indent=2, ensure_ascii=False)
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print("written /opt/monitoring/grafana/dashboards/vesti/vesti.json", len(panels), "pabels") |