Is it possible to convert Grafana rules to vmalert format?

Hello!
Is it possible to convert rules from Grafana to VMalert?
They have a different format for representing objects,so is there any solution to do this via provision API/file?
Grafana rule:

Exported rule from Grafana
- orgId: 1
	...
      rules:
        - uid: hAz5MU0Vz
          title: Atlassian Confluence Memory Usage by JVM
          condition: D
          data:
			...
                expr: (sum(jvm_memory_bytes_used{job=~"confluence-monitors"}) / sum(node_memory_MemTotal_bytes{instance="10.30.30.30:9100"})) * 100
                intervalMs: 1000
                legendFormat: 'memory usage by Confluence {{ job }} '
                maxDataPoints: 43200
                range: true
                refId: A
            - refId: C
              datasourceUid: "-100"
              model:
                conditions:
                    - evaluator:
                        params:
                            - 0
                            - 0
                        type: gt
                      operator:
                        type: and
                      query:
                        params: []
                      reducer:
                        params: []
                        type: avg
                      type: query
                datasource:
                    name: Expression
                    type: __expr__
                    uid: __expr__
                expression: A
                intervalMs: 1000
                maxDataPoints: 43200
                reducer: mean
                refId: C
                type: reduce
            - refId: D
              datasourceUid: "-100"
              model:
                conditions:
                    - evaluator:
                        params:
                            - 0
                            - 0
                        type: gt
                      operator:
                        type: and
                      query:
                        params: []
                      reducer:
                        params: []
                        type: avg
                      type: query
                datasource:
                    name: Expression
                    type: __expr__
                    uid: __expr__
                expression: $C>85
                hide: false
                intervalMs: 1000
                maxDataPoints: 43200
                refId: D
                type: math
          dashboardUid: weu2IqiVk
          panelId: 7
          noDataState: NoData
          execErrState: Error
          for: 5m
          annotations:
            __alertId__: "85"
            __dashboardUid__: weuIqiVk
            __panelId__: "7"
            message: JVM использует > 85% памяти хоста:{{ $values.C.Value }}
          labels:
            __contacts__: '"Atlassian alert [telegram]","Product support [JIRA]"'
            rule_uid: hAz5MU0Vz
            team: Expl
          isPaused: false

VMalert rule (I need to get this format):

Manual configured at VMalert yaml file
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMRule
metadata:
  namespace: vmalert
  name: victoria-metrics-k8s-stack-sre
  labels:
    app: victoria-metrics-k8s-stack
    helm.sh/chart: victoria-metrics-k8s-stack-0.14.12
    app.kubernetes.io/name: victoria-metrics-k8s-stack
    app.kubernetes.io/version: "1.88.1"
    app.kubernetes.io/managed-by: Helm
spec:
  groups:
  - name: Atlassian Confluence
    rules:
    - alert: Atlassian Confluence Memory Usage by JVM
      annotations:
        message: 'JVM использует > 85% памяти хоста:{{`{{`}} $value {{`}}`}}' 
        runbook_url: https://www.google.ru
        metrics: https://grafana.test.io/d/aloalert/slo-alert?from=now-15m&to=now&orgId=1&viewPanel=40
      expr: |-
        (sum(jvm_memory_bytes_used{job=~"confluence-monitors"}) / sum(node_memory_MemTotal_bytes{instance="10.30.30.30:9100"})) * 100 > 85
      for: 5m
      labels:
        team: Expl