"message":"Failed to import dashboard" 使用 HTTP API 导入 grafana 现有 json 文件时出错
"message":"Failed to import dashboard" error while import grafana existing json file using HTTP API
我正在尝试使用 HTTP API 导入 grafana 现有的 json 文件，它正在成功读取 json 文件但是对于每一行，它都抛出 command not found 错误。
我尝试执行以下命令，
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 "$(/u04/my_metrics.json)" localhost:3000/api/dashboards/db
它正在读取 json 文件中的每一行但抛出错误
"message":"Failed to import dashboard"
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": 1860,
"graphTooltip": 0,
"id": 35,
"iteration": 1562652036142,
"links": [],
"panels": [
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 261,
"panels": [],
"repeat": null,
"title": "General",
"type": "row"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"datasource": "Prometheus",
"decimals": 2,
"description": "System Load (1m avg)",
"format": "short",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 3,
"w": 4,
"x": 0,
"y": 1
},
"id": 17,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"maxPerRow": 12,
"nullPointMode": "null",
"nullText": null,
"options": {},
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "",
"targets": [
{
"expr": "node_load1{instance=~\"$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=~\"$node:(.*)\"}, instance)",
"refresh": 1,
"regex": "/[^:]+:(.*)/",
"skipUrlSync": false,
"sort": 3,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "browser",
"title": "importTest",
"uid": "importjson",
"version": 1
}
请查看json文件一次并协助我解决此问题
您正在尝试导入在 Grafana UI 中导出的仪表板 json /u04/my_metrics.json。您还必须使用 Grafana UI 进行导入 - https://grafana.com/docs/reference/export_import/.
如果你想使用Grafana dashboard API（https://grafana.com/docs/http_api/dashboard/），那么你需要"export"（正确的API名字是"get dashboard"） Grafana API.
Grafana UI 和 Grafana 仪表板 API 生成不同的仪表板 JSON 主体架构，因此您无法轻松互换它们。理论上您可以将 json 转换为正确的格式，但您需要熟悉使用过的仪表板 JSON 正文架构。
请从 json 中删除 "id": 17。它将开始工作
我需要使用配置了必要仪表板的 grafana 自动启动 docker 容器，所以我按照以下步骤操作：
- 首先，我配置仪表板，在我的案例中使用存储在
Prometheus，仪表板设计完成后我使用导出
显示仪表板 UID 的选项（它也存在于
URL).
- 接下来，我使用 Postman 工具并调用 Grafana REST API 来获取
通过其 UID 以 JSON 格式显示仪表板的详细信息。你可以获得更多
following link.
中的信息
在我的例子中，我在配置 Docker 容器时使用默认的用户名和密码 (admin / admin) 以及映射的端口 3000。
URL如下：
http://admin:admin@localhost:3000/api/dashboards/uid/lNCIQZdGk
如您所见，它 returns 仪表板的元数据具有可通过 Grafana REST 导入的兼容格式 API。
作为最后一步，有必要删除 JSON 的 "id" 属性 以避免在导入时收到 404 和继续使用该配置创建一个新的仪表板，并为其分配一个新的 ID。
如您所见，删除 属性 将创建一个新的仪表板并为其分配 ID 4。
使用类似于以下的 CURL 命令通过脚本自动创建仪表板会更合适：
curl --verbose -L -s --fail -H "Accept: application/json" -H "Content-Type: application/json" -X POST -k http://admin:admin@localhost:3000/api/dashboards/db --data @/etc/grafana/dashboards/kafka_exporter_overview.json
我与您分享我在创建 docker 容器期间用于配置仪表板和数据源的脚本：
GRAFANA_URL=${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=
local url=
local params=
local bodyfile=
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
希望这个回答能对大家有所帮助。
我正在尝试使用 HTTP API 导入 grafana 现有的 json 文件，它正在成功读取 json 文件但是对于每一行，它都抛出 command not found 错误。
我尝试执行以下命令，
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 "$(/u04/my_metrics.json)" localhost:3000/api/dashboards/db
它正在读取 json 文件中的每一行但抛出错误
"message":"Failed to import dashboard"
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": 1860,
"graphTooltip": 0,
"id": 35,
"iteration": 1562652036142,
"links": [],
"panels": [
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 261,
"panels": [],
"repeat": null,
"title": "General",
"type": "row"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"datasource": "Prometheus",
"decimals": 2,
"description": "System Load (1m avg)",
"format": "short",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 3,
"w": 4,
"x": 0,
"y": 1
},
"id": 17,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"maxPerRow": 12,
"nullPointMode": "null",
"nullText": null,
"options": {},
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "",
"targets": [
{
"expr": "node_load1{instance=~\"$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=~\"$node:(.*)\"}, instance)",
"refresh": 1,
"regex": "/[^:]+:(.*)/",
"skipUrlSync": false,
"sort": 3,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "browser",
"title": "importTest",
"uid": "importjson",
"version": 1
}
请查看json文件一次并协助我解决此问题
您正在尝试导入在 Grafana UI 中导出的仪表板 json /u04/my_metrics.json。您还必须使用 Grafana UI 进行导入 - https://grafana.com/docs/reference/export_import/.
如果你想使用Grafana dashboard API（https://grafana.com/docs/http_api/dashboard/），那么你需要"export"（正确的API名字是"get dashboard"） Grafana API.
Grafana UI 和 Grafana 仪表板 API 生成不同的仪表板 JSON 主体架构，因此您无法轻松互换它们。理论上您可以将 json 转换为正确的格式，但您需要熟悉使用过的仪表板 JSON 正文架构。
请从 json 中删除 "id": 17。它将开始工作
我需要使用配置了必要仪表板的 grafana 自动启动 docker 容器，所以我按照以下步骤操作：
- 首先，我配置仪表板，在我的案例中使用存储在 Prometheus，仪表板设计完成后我使用导出 显示仪表板 UID 的选项（它也存在于 URL).
- 接下来，我使用 Postman 工具并调用 Grafana REST API 来获取 通过其 UID 以 JSON 格式显示仪表板的详细信息。你可以获得更多 following link. 中的信息
在我的例子中，我在配置 Docker 容器时使用默认的用户名和密码 (admin / admin) 以及映射的端口 3000。
URL如下：
http://admin:admin@localhost:3000/api/dashboards/uid/lNCIQZdGk
如您所见，它 returns 仪表板的元数据具有可通过 Grafana REST 导入的兼容格式 API。
作为最后一步，有必要删除 JSON 的 "id" 属性 以避免在导入时收到 404 和继续使用该配置创建一个新的仪表板，并为其分配一个新的 ID。
如您所见，删除 属性 将创建一个新的仪表板并为其分配 ID 4。
使用类似于以下的 CURL 命令通过脚本自动创建仪表板会更合适：
curl --verbose -L -s --fail -H "Accept: application/json" -H "Content-Type: application/json" -X POST -k http://admin:admin@localhost:3000/api/dashboards/db --data @/etc/grafana/dashboards/kafka_exporter_overview.json
我与您分享我在创建 docker 容器期间用于配置仪表板和数据源的脚本：
GRAFANA_URL=${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=
local url=
local params=
local bodyfile=
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
希望这个回答能对大家有所帮助。