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https://github.com/grafana/grafana.git
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1eebd2a4de
* Add notification settings to storage\domain and API models. Settings are a slice to workaround XORM mapping * Support validation of notification settings when rules are updated * Implement route generator for Alertmanager configuration. That fetches all notification settings. * Update multi-tenant Alertmanager to run the generator before applying the configuration. * Add notification settings labels to state calculation * update the Multi-tenant Alertmanager to provide validation for notification settings * update GET API so only admins can see auto-gen
91 lines
3.1 KiB
HCL
91 lines
3.1 KiB
HCL
resource "grafana_rule_group" "rule_group_0000" {
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org_id = 1
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name = "group101"
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folder_uid = "e4584834-1a87-4dff-8913-8a4748dfca79"
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interval_seconds = 10
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rule {
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name = "prom query with SSE - 2"
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condition = "condition"
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data {
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ref_id = "query"
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relative_time_range {
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from = 18000
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to = 10800
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}
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datasource_uid = "000000002"
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model = "{\n \"expr\": \"http_request_duration_microseconds_count\",\n \"hide\": false,\n \"interval\": \"\",\n \"intervalMs\": 1000,\n \"legendFormat\": \"\",\n \"maxDataPoints\": 100,\n \"refId\": \"query\"\n }"
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}
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data {
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ref_id = "reduced"
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relative_time_range {
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from = 18000
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to = 10800
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}
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datasource_uid = "__expr__"
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model = "{\n \"expression\": \"query\",\n \"hide\": false,\n \"intervalMs\": 1000,\n \"maxDataPoints\": 100,\n \"reducer\": \"mean\",\n \"refId\": \"reduced\",\n \"type\": \"reduce\"\n }"
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}
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data {
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ref_id = "condition"
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relative_time_range {
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from = 18000
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to = 10800
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}
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datasource_uid = "__expr__"
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model = "{\n \"expression\": \"$reduced > 10\",\n \"hide\": false,\n \"intervalMs\": 1000,\n \"maxDataPoints\": 100,\n \"refId\": \"condition\",\n \"type\": \"math\"\n }"
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}
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no_data_state = "NoData"
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exec_err_state = "Alerting"
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for = "2m"
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is_paused = false
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}
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rule {
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name = "reduced testdata query - 2"
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condition = "B"
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data {
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ref_id = "A"
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relative_time_range {
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from = 18000
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to = 10800
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}
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datasource_uid = "000000004"
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model = "{\n \"alias\": \"just-testing\",\n \"intervalMs\": 1000,\n \"maxDataPoints\": 100,\n \"orgId\": 0,\n \"refId\": \"A\",\n \"scenarioId\": \"csv_metric_values\",\n \"stringInput\": \"1,20,90,30,5,0\"\n }"
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}
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data {
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ref_id = "B"
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relative_time_range {
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from = 18000
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to = 10800
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}
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datasource_uid = "__expr__"
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model = "{\n \"expression\": \"$A\",\n \"intervalMs\": 2000,\n \"maxDataPoints\": 200,\n \"orgId\": 0,\n \"reducer\": \"mean\",\n \"refId\": \"B\",\n \"type\": \"reduce\"\n }"
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}
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no_data_state = "NoData"
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exec_err_state = "Alerting"
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is_paused = false
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notification_settings {
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receiver = "Test-Receiver"
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group_by = ["alertname", "grafana_folder", "test"]
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group_wait = "1s"
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group_interval = "5s"
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repeat_interval = "5m"
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mute_time_intervals = ["test-mute"]
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}
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}
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}
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