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api-clients-generation-pipeline[bot]ci.datadog-api-spec
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Regenerate client from commit d65e6213 of spec repo (#992)
Co-authored-by: ci.datadog-api-spec <[email protected]> Co-authored-by: api-clients-generation-pipeline[bot] <54105614+api-clients-generation-pipeline[bot]@users.noreply.github.com>
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‎.apigentools-info

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"spec_versions": {
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"v1": {
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"apigentools_version": "1.6.2",
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"regenerated": "2022-05-18 14:23:46.312017",
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"spec_repo_commit": "e1764101"
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"regenerated": "2022-05-19 09:29:33.345761",
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"spec_repo_commit": "d65e6213"
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},
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"v2": {
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"apigentools_version": "1.6.2",
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"regenerated": "2022-05-18 14:23:46.328977",
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"spec_repo_commit": "e1764101"
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"regenerated": "2022-05-19 09:29:33.359938",
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"spec_repo_commit": "d65e6213"
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}
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}
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}

‎.generator/schemas/v1/openapi.yaml

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enum:
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- rum
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- ci_pipelines
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- ci_tests
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example: rum
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type: string
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x-enum-varnames:
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- RUM
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- CI_PIPELINES
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- CI_TESTS
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MonitorFormulaAndFunctionQueryDefinition:
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description: A formula and function query.
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oneOf:
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- event-v2 alert
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- audit alert
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- ci-pipelines alert
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- ci-tests alert
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- error-tracking alert
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example: query alert
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type: string
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- EVENT_V2_ALERT
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- AUDIT_ALERT
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- CI_PIPELINES_ALERT
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- CI_TESTS_ALERT
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- ERROR_TRACKING_ALERT
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MonitorUpdateRequest:
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description: Object describing a monitor update request.
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**NOTE** CI Pipeline monitors are in alpha on US1, EU, US3 and US5.
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**CI Tests Alert Query**
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Example: `ci-tests(query).rollup(rollup_method[, measure]).last(time_window)
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operator #`
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- **`query`** The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).
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- **`rollup_method`** The stats roll-up method - supports `count`, `avg`,
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and `cardinality`.
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- **`measure`** For `avg` and cardinality `rollup_method` - specify the measure
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or the facet name you want to use.
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- **`time_window`** #m (between 1 and 2880), #h (between 1 and 48).
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- **`operator`** `<`, `<=`, `>`, `>=`, `==`, or `!=`.
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- **`#`** an integer or decimal number used to set the threshold.
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**NOTE** CI Test monitors are available only in closed beta on US1, EU, US3
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and US5.
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**Error Tracking Alert Query**
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‎examples/v1/monitors/CreateMonitor_1969035628.py

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"""
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Create a ci-tests formula and functions monitor returns "OK" response
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"""
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from datadog_api_client.v1 import ApiClient, Configuration
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from datadog_api_client.v1.api.monitors_api import MonitorsApi
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from datadog_api_client.v1.model.monitor import Monitor
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from datadog_api_client.v1.model.monitor_formula_and_function_event_aggregation import (
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MonitorFormulaAndFunctionEventAggregation,
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)
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from datadog_api_client.v1.model.monitor_formula_and_function_event_query_definition import (
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MonitorFormulaAndFunctionEventQueryDefinition,
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)
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from datadog_api_client.v1.model.monitor_formula_and_function_event_query_definition_compute import (
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MonitorFormulaAndFunctionEventQueryDefinitionCompute,
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)
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from datadog_api_client.v1.model.monitor_formula_and_function_event_query_definition_search import (
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MonitorFormulaAndFunctionEventQueryDefinitionSearch,
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)
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from datadog_api_client.v1.model.monitor_formula_and_function_events_data_source import (
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MonitorFormulaAndFunctionEventsDataSource,
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)
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from datadog_api_client.v1.model.monitor_options import MonitorOptions
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from datadog_api_client.v1.model.monitor_thresholds import MonitorThresholds
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from datadog_api_client.v1.model.monitor_type import MonitorType
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body = Monitor(
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name="Example-Create_a_ci_tests_formula_and_functions_monitor_returns_OK_response",
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type=MonitorType("ci-tests alert"),
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query='formula("query1 / query2 * 100").last("15m") >= 0.8',
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message="some message Notify: @hipchat-channel",
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tags=[
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"test:examplecreateacitestsformulaandfunctionsmonitorreturnsokresponse",
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"env:ci",
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],
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priority=3,
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options=MonitorOptions(
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thresholds=MonitorThresholds(
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critical=0.8,
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),
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variables=[
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MonitorFormulaAndFunctionEventQueryDefinition(
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data_source=MonitorFormulaAndFunctionEventsDataSource("ci_tests"),
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name="query1",
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search=MonitorFormulaAndFunctionEventQueryDefinitionSearch(
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query="@test.status:fail",
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),
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indexes=[
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"*",
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],
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compute=MonitorFormulaAndFunctionEventQueryDefinitionCompute(
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aggregation=MonitorFormulaAndFunctionEventAggregation("count"),
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),
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group_by=[],
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),
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MonitorFormulaAndFunctionEventQueryDefinition(
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data_source=MonitorFormulaAndFunctionEventsDataSource("ci_tests"),
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name="query2",
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search=MonitorFormulaAndFunctionEventQueryDefinitionSearch(
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query="",
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),
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indexes=[
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"*",
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],
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compute=MonitorFormulaAndFunctionEventQueryDefinitionCompute(
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aggregation=MonitorFormulaAndFunctionEventAggregation("count"),
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),
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group_by=[],
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),
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],
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),
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)
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configuration = Configuration()
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with ApiClient(configuration) as api_client:
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api_instance = MonitorsApi(api_client)
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response = api_instance.create_monitor(body=body)
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print(response)

‎examples/v1/monitors/CreateMonitor_2520912138.py

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"""
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Create a ci-tests monitor returns "OK" response
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"""
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from datadog_api_client.v1 import ApiClient, Configuration
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from datadog_api_client.v1.api.monitors_api import MonitorsApi
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from datadog_api_client.v1.model.monitor import Monitor
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from datadog_api_client.v1.model.monitor_options import MonitorOptions
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from datadog_api_client.v1.model.monitor_thresholds import MonitorThresholds
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from datadog_api_client.v1.model.monitor_type import MonitorType
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body = Monitor(
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name="Example-Create_a_ci_tests_monitor_returns_OK_response",
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type=MonitorType("ci-tests alert"),
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query='ci-tests("type:test @git.branch:staging* @test.status:fail").rollup("count").by("@test.name").last("5m") >= 1',
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message="some message Notify: @hipchat-channel",
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tags=[
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"test:examplecreateacitestsmonitorreturnsokresponse",
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"env:ci",
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],
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priority=3,
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options=MonitorOptions(
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thresholds=MonitorThresholds(
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critical=1.0,
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),
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),
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)
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configuration = Configuration()
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with ApiClient(configuration) as api_client:
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api_instance = MonitorsApi(api_client)
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response = api_instance.create_monitor(body=body)
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print(response)

‎src/datadog_api_client/v1/api/monitors_api.py

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‎src/datadog_api_client/v1/model/monitor_formula_and_function_events_data_source.py

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‎src/datadog_api_client/v1/model/monitor_type.py

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‎tests/v1/cassettes/test_scenarios/test_create_a_citests_formula_and_functions_monitor_returns_ok_response.frozen

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2022-05-13T10:40:35.052Z

‎tests/v1/cassettes/test_scenarios/test_create_a_citests_formula_and_functions_monitor_returns_ok_response.yaml

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interactions:
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- request:
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body: '{"message":"some message Notify: @hipchat-channel","name":"Test-Create_a_ci_tests_formula_and_functions_monitor_returns_OK_response-1652438435","options":{"thresholds":{"critical":0.8},"variables":[{"compute":{"aggregation":"count"},"data_source":"ci_tests","group_by":[],"indexes":["*"],"name":"query1","search":{"query":"@test.status:fail"}},{"compute":{"aggregation":"count"},"data_source":"ci_tests","group_by":[],"indexes":["*"],"name":"query2","search":{"query":""}}]},"priority":3,"query":"formula(\"query1
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/ query2 * 100\").last(\"15m\") >= 0.8","tags":["test:testcreateacitestsformulaandfunctionsmonitorreturnsokresponse1652438435","env:ci"],"type":"ci-tests
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alert"}'
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headers:
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accept:
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- application/json
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content-type:
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- application/json
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method: POST
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uri: https://api.datadoghq.com/api/v1/monitor
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response:
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body:
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string: '{"restricted_roles":null,"tags":["test:testcreateacitestsformulaandfunctionsmonitorreturnsokresponse1652438435","env:ci"],"deleted":null,"query":"formula(\"query1
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/ query2 * 100\").last(\"15m\") >= 0.8","message":"some message Notify: @hipchat-channel","id":71427772,"multi":false,"name":"Test-Create_a_ci_tests_formula_and_functions_monitor_returns_OK_response-1652438435","created":"2022-05-13T10:40:35.341131+00:00","created_at":1652438435000,"creator":{"id":1445416,"handle":"[email protected]","name":null,"email":"[email protected]"},"org_id":321813,"modified":"2022-05-13T10:40:35.341131+00:00","priority":3,"overall_state_modified":null,"overall_state":"No
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Data","type":"ci-tests alert","options":{"notify_audit":false,"silenced":{},"include_tags":true,"thresholds":{"critical":0.8},"new_host_delay":300,"notify_no_data":false,"groupby_simple_monitor":false,"variables":[{"search":{"query":"@test.status:fail"},"data_source":"ci_tests","compute":{"aggregation":"count"},"name":"query1","indexes":["*"],"group_by":[]},{"search":{"query":""},"data_source":"ci_tests","compute":{"aggregation":"count"},"name":"query2","indexes":["*"],"group_by":[]}]}}'
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headers:
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content-type:
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- application/json
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status:
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code: 200
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message: OK
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- request:
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body: null
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headers:
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accept:
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- application/json
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method: DELETE
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uri: https://api.datadoghq.com/api/v1/monitor/71427772
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response:
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body:
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string: '{"deleted_monitor_id":71427772}'
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headers:
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content-type:
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- application/json
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status:
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code: 200
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message: OK
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version: 1

‎tests/v1/cassettes/test_scenarios/test_create_a_citests_monitor_returns_ok_response.frozen

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2022-05-17T15:10:28.775Z

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