3

I am trying to import to grafana existing json file using HTTP API, it's reading the json file successfully but for each and every line, it's throwing command not found error.

I tried to execute the below command,

curl -X POST --insecure -H "Authorization: Bearer eyJrIjoiOWwwUmpQYUFmczhRVG1CZ1VmdTZ1VlZLTlc2ba0xUb0QiLCJuIjoia2xhIiwiaWQiOjJ9" -H "Content-Type: application/json" -d '{"dashboard":{"id": 1,"title": "tested33","tags": ["templated"],"timezone": "browser","rows": [{}],"schemaVersion": 6,"version": 0},"overwrite":false}' -d "$(/u04/my_metrics.json)"   localhost:3000/api/dashboards/db

It's reading each and every line in json file but throwing error

"message":"Failed to import dashboard"

{
  "annotations": {
  "list": [
   {
    "builtIn": 1,
    "datasource": "-- Grafana --",
    "enable": true,
    "hide": true,
    "iconColor": "rgba(0, 211, 255, 1)",
    "name": "Annotations & Alerts",
    "type": "dashboard"
  }
 ]
},
"editable": true,
"gnetId": 1860,
"graphTooltip": 0,
"id": 35,
"iteration": 1562652036142,
"links": [],
"panels": [
 {
  "collapsed": false,
  "gridPos": {
    "h": 1,
    "w": 24,
    "x": 0,
    "y": 0
  },
  "id": 261,
  "panels": [],
  "repeat": null,
  "title": "General",
  "type": "row"
},
{
  "cacheTimeout": null,
  "colorBackground": false,
  "colorValue": false,
  "colors": [
    "rgba(245, 54, 54, 0.9)",
    "rgba(237, 129, 40, 0.89)",
    "rgba(50, 172, 45, 0.97)"
  ],
  "datasource": "Prometheus",
  "decimals": 2,
  "description": "System Load (1m avg)",
  "format": "short",
  "gauge": {
    "maxValue": 100,
    "minValue": 0,
    "show": false,
    "thresholdLabels": false,
    "thresholdMarkers": true
  },
  "gridPos": {
    "h": 3,
    "w": 4,
    "x": 0,
    "y": 1
  },
  "id": 17,
  "interval": null,
  "links": [],
  "mappingType": 1,
  "mappingTypes": [
    {
      "name": "value to text",
      "value": 1
    },
    {
      "name": "range to text",
      "value": 2
    }
  ],
  "maxDataPoints": 100,
  "maxPerRow": 12,
  "nullPointMode": "null",
  "nullText": null,
  "options": {},
  "postfix": "",
  "postfixFontSize": "50%",
  "prefix": "",
  "prefixFontSize": "50%",
  "rangeMaps": [
    {
      "from": "null",
      "text": "N/A",
      "to": "null"
    }
  ],
  "sparkline": {
    "fillColor": "rgba(31, 118, 189, 0.18)",
    "full": false,
    "lineColor": "rgb(31, 120, 193)",
    "show": false
  },
  "tableColumn": "",
  "targets": [
    {
      "expr": "node_load1{instance=~\"$node:$port\",job=~\"$job\"}",
      "hide": false,
      "intervalFactor": 1,
      "refId": "A",
      "step": 900
    }
  ],
  "thresholds": "",
  "title": "System Load (1m avg)",
  "type": "singlestat",
  "valueFontSize": "50%",
  "valueMaps": [
    {
      "op": "=",
      "text": "N/A",
      "value": "null"
    }
  ],
  "valueName": "current"
}
],
"refresh": false,
"schemaVersion": 18,
"style": "dark",
"tags": [],
"templating": {
"list": [
  {
    "allValue": null,
    "current": {
      "text": "limca",
      "value": "limca"
    },
    "datasource": "Prometheus",
    "definition": "",
    "hide": 0,
    "includeAll": false,
    "label": "Job",
    "multi": false,
    "name": "job",
    "options": [],
    "query": "label_values(node_uname_info, job)",
    "refresh": 1,
    "regex": "",
    "skipUrlSync": false,
    "sort": 1,
    "tagValuesQuery": "",
    "tags": [],
    "tagsQuery": "",
    "type": "query",
    "useTags": false
  },
  {
    "allValue": null,
    "current": {
      "text": "limca",
      "value": "limca"
    },
    "datasource": "Prometheus",
    "definition": "",
    "hide": 2,
    "includeAll": false,
    "label": "",
    "multi": false,
    "name": "name",
    "options": [],
    "query": "label_values(node_uname_info{job=~\"$job\"}, nodename)",
    "refresh": 1,
    "regex": "",
    "skipUrlSync": false,
    "sort": 1,
    "tagValuesQuery": "",
    "tags": [],
    "tagsQuery": "",
    "type": "query",
    "useTags": false
  },
  {
    "allValue": null,
    "current": {
      "text": "limca",
      "value": "limca"
    },
    "datasource": "Prometheus",
    "definition": "",
    "hide": 2,
    "includeAll": false,
    "label": "Host:",
    "multi": false,
    "name": "node",
    "options": [],
    "query": "label_values(node_uname_info{nodename=\"$name\"}, instance)",
    "refresh": 1,
    "regex": "/([^:]+):.*/",
    "skipUrlSync": false,
    "sort": 1,
    "tagValuesQuery": "",
    "tags": [],
    "tagsQuery": "",
    "type": "query",
    "useTags": false
  },
  {
    "allValue": null,
    "current": {
      "text": "9100",
      "value": "9100"
    },
    "datasource": "Prometheus",
    "definition": "",
    "hide": 0,
    "includeAll": false,
    "label": "Port",
    "multi": false,
    "name": "port",
    "options": [],
    "query": "label_values(node_uname_info{instance=~\"$node:(.*)\"}, instance)",
    "refresh": 1,
    "regex": "/[^:]+:(.*)/",
    "skipUrlSync": false,
    "sort": 3,
    "tagValuesQuery": "",
    "tags": [],
    "tagsQuery": "",
    "type": "query",
    "useTags": false
  }
]
 },
 "time": {
"from": "now-24h",
"to": "now"
 },
 "timepicker": {
"refresh_intervals": [
  "5s",
  "10s",
  "30s",
  "1m",
  "5m",
  "15m",
  "30m",
  "1h",
  "2h",
  "1d"
],
"time_options": [
  "5m",
  "15m",
  "1h",
  "6h",
  "12h",
  "24h",
  "2d",
  "7d",
  "30d"
]
},
"timezone": "browser",
"title": "importTest",
"uid": "importjson",
"version": 1
}

Kindly review the json file once and assist me to resolve this issue

4

3 回答 3

4

您正在尝试导入/u04/my_metrics.json在 Grafana UI 中导出的仪表板 json 。您还必须使用 Grafana UI 进行导入 - https://grafana.com/docs/reference/export_import/

如果要使用 Grafana 仪表板 API ( https://grafana.com/docs/http_api/dashboard/ ),则需要从 Grafana API 中“导出”(正确的 API 名称为“获取仪表板”)。

Grafana UI 和 Grafana 仪表板 API 生成不同的仪表板 JSON 正文架构,因此您不能轻松地互换它们。理论上您可以将 json 转换为正确的格式,但您需要熟悉使用的仪表板 JSON 正文模式。

于 2019-07-11T17:22:38.830 回答
0

请从json中删除“id”:17。它将开始工作

于 2020-03-04T06:50:37.340 回答
0

我需要使用配置了必要仪表板的 grafana 自动启动 docker 容器,因此我按照以下步骤操作:

  • 首先,我配置仪表板,在我的案例中使用存储在 Prometheus 中的指标,一旦仪表板设计完成,我使用导出选项来显示仪表板的 UID(它也存在于 URL 中)。

在此处输入图像描述

  • 接下来,我使用 Postman 工具并调用Grafana REST API以通过其UID以 JSON 格式获取仪表板的详细信息。您可以在以下链接中获得更多信息。

在我的例子中,我使用默认的用户名和密码(admin / admin)以及配置 Docker 容器时映射的端口 3000。

网址如下:

http://admin:admin@localhost:3000/api/dashboards/uid/lNCIQZdGk

如您所见,它以兼容的格式返回仪表板的元数据,以便通过 Grafana REST API 导入。

在此处输入图像描述

作为最后一步,有必要删除JSON 的“id”属性以避免在导入时收到 404,并继续使用该配置创建一个新仪表板,为其分配一个新 id。

在此处输入图像描述

在此处输入图像描述

如您所见,删除该属性将创建一个新仪表板并为其分配 id 4。

在此处输入图像描述

使用类似于以下的 CURL 命令通过脚本自动创建仪表板会更合适:

curl --verbose -L -s --fail -H "Accept: application/json" -H "Content-Type: application/json" -X POST -k http://admin:admin@localhost:3000/api/dashboards/db --data @/etc/grafana/dashboards/kafka_exporter_overview.json

我与您分享我在创建 docker 容器期间用于配置仪表板和数据源的脚本:

GRAFANA_URL=${GRAFANA_URL:-http://$GF_SECURITY_ADMIN_USER:$GF_SECURITY_ADMIN_PASSWORD@localhost:3000}
#GRAFANA_URL=http://grafana-plain.k8s.playground1.aws.ad.zopa.com
DATASOURCES_PATH=${DATASOURCES_PATH:-/etc/grafana/datasources}
DASHBOARDS_PATH=${DASHBOARDS_PATH:-/etc/grafana/dashboards}

# Generic function to call the Vault API
grafana_api() {
  local verb=$1
  local url=$2
  local params=$3
  local bodyfile=$4
  local response
  local cmd

  cmd="curl --verbose -L -s --fail -H \"Accept: application/json\" -H \"Content-Type: application/json\" -X ${verb} -k ${GRAFANA_URL}${url}"
  [[ -n "${params}" ]] && cmd="${cmd} -d \"${params}\""
  [[ -n "${bodyfile}" ]] && cmd="${cmd} --data @${bodyfile}"
  echo "Running ${cmd}"
  eval ${cmd} || return 1
  return 0
}

wait_for_api() {
  while ! grafana_api GET /api/user/preferences
  do
    sleep 5
  done 
}

install_datasources() {
  local datasource

  for datasource in ${DATASOURCES_PATH}/*.json
  do
    if [[ -f "${datasource}" ]]; then
      echo "Installing datasource ${datasource}"
      if grafana_api POST /api/datasources "" "${datasource}"; then
        echo "installed ok"
      else
        echo "install failed"
      fi
    fi
  done
}

install_dashboards() {
  local dashboard

  for dashboard in ${DASHBOARDS_PATH}/*.json
  do
    if [[ -f "${dashboard}" ]]; then
      echo "Installing dashboard ${dashboard}"

      if grafana_api POST /api/dashboards/db "" "${dashboard}"; then
        echo "installed ok"
      else
        echo "install failed"
      fi

    fi
  done
}

configure_grafana() {
  wait_for_api
  install_datasources
  install_dashboards
}

echo "Running configure_grafana in the background..."
configure_grafana &
/run.sh
exit 0

希望这个答案可以帮助某人。

于 2020-09-12T12:57:26.050 回答