불안정한 테스트 관리 정책 업데이트
PATCH
https://api.datadoghq.com/api/v2/ci/test-optimization/settings/policieshttps://api.us3.datadoghq.com/api/v2/ci/test-optimization/settings/policieshttps://api.us5.datadoghq.com/api/v2/ci/test-optimization/settings/policieshttps://api.datadoghq.eu/api/v2/ci/test-optimization/settings/policieshttps://api.ap1.datadoghq.com/api/v2/ci/test-optimization/settings/policieshttps://api.ap2.datadoghq.com/api/v2/ci/test-optimization/settings/policieshttps://api.uk1.datadoghq.com/api/v2/ci/test-optimization/settings/policieshttps://api.ddog-gov.com/api/v2/ci/test-optimization/settings/policieshttps://api.us2.ddog-gov.com/api/v2/ci/test-optimization/settings/policies개요
지정된 리포지토리에 대한 Flaky Tests Management 리포지토리 수준 정책을 부분적으로 업데이트합니다. 제공된 정책 블록만 업데이트되며 생략된 블록은 변경되지 않습니다.
OAuth apps require the test_optimization_settings_write authorization scope to access this endpoint.
요청
Body Data (required)
항목
유형
설명
data [required]object
불안정한 테스트 관리 정책 업데이트를 위한 요청 객체입니다.
attributes [required]object
Attributes for updating Flaky Tests Management policies. Only provided policy blocks are updated; omitted blocks are left unchanged.
attempt_to_fixobject
Configuration for the attempt-to-fix Flaky Tests Management policy.
retriesint64
Number of retries when attempting to fix a flaky test. Must be greater than 0.
disabledobject
Configuration for the disabled Flaky Tests Management policy.
auto_disable_ruleobject
Automatic disable triggering rule based on a time window and test status.
enabledboolean
Whether this auto-disable rule is enabled.
statusenum
Test status that the disable policy applies to.
Must be either active or quarantined.
Allowed enum values:
active, quarantinedwindow_secondsint64
Time window in seconds over which flakiness is evaluated. Must be greater than 0.
branch_ruleobject
Branch filtering rule for a Flaky Tests Management policy.
branches[string]
List of branches to which the policy applies.
enabledboolean
Whether this branch rule is enabled.
excluded_branches[string]
List of branches excluded from the policy.
excluded_test_services[string]
List of test services excluded from the policy.
enabledboolean
Whether the disabled policy is enabled.
failure_rate_ruleobject
Failure-rate-based rule for the disabled policy.
branches[string]
List of branches to which this rule applies.
enabledboolean
Whether this failure rate rule is enabled.
min_runsint64
Minimum number of runs required before the rule is evaluated. Must be greater than or equal to 0.
statusenum
Test status that the disable policy applies to.
Must be either active or quarantined.
Allowed enum values:
active, quarantinedthresholddouble
Failure rate threshold (0.0–1.0) above which the rule triggers.
quarantinedobject
Configuration for the quarantined Flaky Tests Management policy.
auto_quarantine_ruleobject
Automatic quarantine triggering rule based on a time window.
enabledboolean
Whether this auto-quarantine rule is enabled.
window_secondsint64
Time window in seconds over which flakiness is evaluated. Must be greater than 0.
branch_ruleobject
Branch filtering rule for a Flaky Tests Management policy.
branches[string]
List of branches to which the policy applies.
enabledboolean
Whether this branch rule is enabled.
excluded_branches[string]
List of branches excluded from the policy.
excluded_test_services[string]
List of test services excluded from the policy.
enabledboolean
Whether the quarantined policy is enabled.
failure_rate_ruleobject
Failure-rate-based rule for the quarantined policy.
branches[string]
List of branches to which this rule applies.
enabledboolean
Whether this failure rate rule is enabled.
min_runsint64
Minimum number of runs required before the rule is evaluated. Must be greater than or equal to 0.
thresholddouble
Failure rate threshold (0.0–1.0) above which the rule triggers.
repository_id [required]string
The repository identifier.
type [required]enum
JSON:API type for update Flaky Tests Management policies request.
The value must always be test_optimization_update_flaky_tests_management_policies_request.
Allowed enum values:
test_optimization_update_flaky_tests_management_policies_request{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"auto_disable_rule": {
"enabled": false,
"status": "active",
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [
[]
],
"excluded_test_services": [
[]
]
},
"enabled": false,
"failure_rate_rule": {
"branches": [
[]
],
"enabled": false,
"min_runs": 10,
"status": "active",
"threshold": 0.5
}
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [
[]
],
"excluded_test_services": [
[]
]
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/datadog/shopist"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}응답
OK
Response object containing Flaky Tests Management policies for a repository.
항목
유형
설명
dataobject
Data object for Flaky Tests Management policies response.
attributesobject
Attributes of the Flaky Tests Management policies for a repository.
attempt_to_fixobject
Configuration for the attempt-to-fix Flaky Tests Management policy.
retriesint64
Number of retries when attempting to fix a flaky test. Must be greater than 0.
disabledobject
Configuration for the disabled Flaky Tests Management policy.
auto_disable_ruleobject
Automatic disable triggering rule based on a time window and test status.
enabledboolean
Whether this auto-disable rule is enabled.
statusenum
Test status that the disable policy applies to.
Must be either active or quarantined.
Allowed enum values:
active, quarantinedwindow_secondsint64
Time window in seconds over which flakiness is evaluated. Must be greater than 0.
branch_ruleobject
Branch filtering rule for a Flaky Tests Management policy.
branches[string]
List of branches to which the policy applies.
enabledboolean
Whether this branch rule is enabled.
excluded_branches[string]
List of branches excluded from the policy.
excluded_test_services[string]
List of test services excluded from the policy.
enabledboolean
Whether the disabled policy is enabled.
failure_rate_ruleobject
Failure-rate-based rule for the disabled policy.
branches[string]
List of branches to which this rule applies.
enabledboolean
Whether this failure rate rule is enabled.
min_runsint64
Minimum number of runs required before the rule is evaluated. Must be greater than or equal to 0.
statusenum
Test status that the disable policy applies to.
Must be either active or quarantined.
Allowed enum values:
active, quarantinedthresholddouble
Failure rate threshold (0.0–1.0) above which the rule triggers.
quarantinedobject
Configuration for the quarantined Flaky Tests Management policy.
auto_quarantine_ruleobject
Automatic quarantine triggering rule based on a time window.
enabledboolean
Whether this auto-quarantine rule is enabled.
window_secondsint64
Time window in seconds over which flakiness is evaluated. Must be greater than 0.
branch_ruleobject
Branch filtering rule for a Flaky Tests Management policy.
branches[string]
List of branches to which the policy applies.
enabledboolean
Whether this branch rule is enabled.
excluded_branches[string]
List of branches excluded from the policy.
excluded_test_services[string]
List of test services excluded from the policy.
enabledboolean
Whether the quarantined policy is enabled.
failure_rate_ruleobject
Failure-rate-based rule for the quarantined policy.
branches[string]
List of branches to which this rule applies.
enabledboolean
Whether this failure rate rule is enabled.
min_runsint64
Minimum number of runs required before the rule is evaluated. Must be greater than or equal to 0.
thresholddouble
Failure rate threshold (0.0–1.0) above which the rule triggers.
repository_idstring
The repository identifier.
idstring
The repository identifier used as the resource ID.
typeenum
JSON:API type for Flaky Tests Management policies response.
The value must always be test_optimization_flaky_tests_management_policies.
Allowed enum values:
test_optimization_flaky_tests_management_policies{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"auto_disable_rule": {
"enabled": false,
"status": "active",
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [
[]
],
"excluded_test_services": [
[]
]
},
"enabled": false,
"failure_rate_rule": {
"branches": [
[]
],
"enabled": false,
"min_runs": 10,
"status": "active",
"threshold": 0.5
}
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [
[]
],
"excluded_test_services": [
[]
]
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/datadog/shopist"
},
"id": "github.com/datadog/shopist",
"type": "test_optimization_flaky_tests_management_policies"
}
}Bad Request
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Not Authorized
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Not Found
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}Too many requests
API error response.
항목
유형
설명
errors [required][string]
A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
불안정한 테스트 관리 정책 업데이트
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X PATCH "https://api.${DD_SITE}/api/v2/ci/test-optimization/settings/policies" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"attempt_to_fix": {
"retries": 3
},
"disabled": {
"enabled": false
},
"quarantined": {
"auto_quarantine_rule": {
"enabled": true,
"window_seconds": 3600
},
"branch_rule": {
"branches": [
"main"
],
"enabled": true,
"excluded_branches": [],
"excluded_test_services": []
},
"enabled": true,
"failure_rate_rule": {
"branches": [
"main"
],
"enabled": true,
"min_runs": 10,
"threshold": 0.5
}
},
"repository_id": "github.com/example-org/example-repo"
},
"type": "test_optimization_update_flaky_tests_management_policies_request"
}
}
EOF불안정한 테스트 관리 정책 업데이트
// Update Flaky Tests Management policies returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
body := datadogV2.TestOptimizationFlakyTestsManagementPoliciesUpdateRequest{
Data: datadogV2.TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData{
Attributes: datadogV2.TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes{
AttemptToFix: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesAttemptToFix{
Retries: datadog.PtrInt64(3),
},
Disabled: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesDisabled{
AutoDisableRule: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule{
Enabled: datadog.PtrBool(false),
Status: datadogV2.TESTOPTIMIZATIONFLAKYTESTSMANAGEMENTPOLICIESDISABLEDSTATUS_ACTIVE.Ptr(),
WindowSeconds: datadog.PtrInt64(3600),
},
BranchRule: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesBranchRule{
Branches: []string{
"main",
},
Enabled: datadog.PtrBool(true),
ExcludedBranches: []string{},
ExcludedTestServices: []string{},
},
Enabled: datadog.PtrBool(false),
FailureRateRule: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule{
Branches: []string{},
Enabled: datadog.PtrBool(false),
MinRuns: datadog.PtrInt64(10),
Status: datadogV2.TESTOPTIMIZATIONFLAKYTESTSMANAGEMENTPOLICIESDISABLEDSTATUS_ACTIVE.Ptr(),
Threshold: datadog.PtrFloat64(0.5),
},
},
Quarantined: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesQuarantined{
AutoQuarantineRule: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule{
Enabled: datadog.PtrBool(true),
WindowSeconds: datadog.PtrInt64(3600),
},
BranchRule: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesBranchRule{
Branches: []string{
"main",
},
Enabled: datadog.PtrBool(true),
ExcludedBranches: []string{},
ExcludedTestServices: []string{},
},
Enabled: datadog.PtrBool(true),
FailureRateRule: &datadogV2.TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule{
Branches: []string{
"main",
},
Enabled: datadog.PtrBool(true),
MinRuns: datadog.PtrInt64(10),
Threshold: datadog.PtrFloat64(0.5),
},
},
RepositoryId: "github.com/datadog/shopist",
},
Type: datadogV2.TESTOPTIMIZATIONUPDATEFLAKYTESTSMANAGEMENTPOLICIESREQUESTDATATYPE_TEST_OPTIMIZATION_UPDATE_FLAKY_TESTS_MANAGEMENT_POLICIES_REQUEST,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewTestOptimizationApi(apiClient)
resp, r, err := api.UpdateFlakyTestsManagementPolicies(ctx, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `TestOptimizationApi.UpdateFlakyTestsManagementPolicies`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `TestOptimizationApi.UpdateFlakyTestsManagementPolicies`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"불안정한 테스트 관리 정책 업데이트
// Update Flaky Tests Management policies returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.TestOptimizationApi;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesAttemptToFix;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesBranchRule;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesDisabled;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesDisabledStatus;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesQuarantined;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesResponse;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesUpdateRequest;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes;
import com.datadog.api.client.v2.model.TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData;
import com.datadog.api.client.v2.model.TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
TestOptimizationApi apiInstance = new TestOptimizationApi(defaultClient);
TestOptimizationFlakyTestsManagementPoliciesUpdateRequest body =
new TestOptimizationFlakyTestsManagementPoliciesUpdateRequest()
.data(
new TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData()
.attributes(
new TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes()
.attemptToFix(
new TestOptimizationFlakyTestsManagementPoliciesAttemptToFix()
.retries(3L))
.disabled(
new TestOptimizationFlakyTestsManagementPoliciesDisabled()
.autoDisableRule(
new TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule()
.enabled(false)
.status(
TestOptimizationFlakyTestsManagementPoliciesDisabledStatus
.ACTIVE)
.windowSeconds(3600L))
.branchRule(
new TestOptimizationFlakyTestsManagementPoliciesBranchRule()
.branches(Collections.singletonList("main"))
.enabled(true))
.enabled(false)
.failureRateRule(
new TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule()
.enabled(false)
.minRuns(10L)
.status(
TestOptimizationFlakyTestsManagementPoliciesDisabledStatus
.ACTIVE)
.threshold(0.5)))
.quarantined(
new TestOptimizationFlakyTestsManagementPoliciesQuarantined()
.autoQuarantineRule(
new TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule()
.enabled(true)
.windowSeconds(3600L))
.branchRule(
new TestOptimizationFlakyTestsManagementPoliciesBranchRule()
.branches(Collections.singletonList("main"))
.enabled(true))
.enabled(true)
.failureRateRule(
new TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule()
.branches(Collections.singletonList("main"))
.enabled(true)
.minRuns(10L)
.threshold(0.5)))
.repositoryId("github.com/datadog/shopist"))
.type(
TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType
.TEST_OPTIMIZATION_UPDATE_FLAKY_TESTS_MANAGEMENT_POLICIES_REQUEST));
try {
TestOptimizationFlakyTestsManagementPoliciesResponse result =
apiInstance.updateFlakyTestsManagementPolicies(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling TestOptimizationApi#updateFlakyTestsManagementPolicies");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"불안정한 테스트 관리 정책 업데이트
"""
Update Flaky Tests Management policies returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.test_optimization_api import TestOptimizationApi
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_attempt_to_fix import (
TestOptimizationFlakyTestsManagementPoliciesAttemptToFix,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_auto_disable_rule import (
TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_auto_quarantine_rule import (
TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_branch_rule import (
TestOptimizationFlakyTestsManagementPoliciesBranchRule,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_disabled import (
TestOptimizationFlakyTestsManagementPoliciesDisabled,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_disabled_failure_rate_rule import (
TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_disabled_status import (
TestOptimizationFlakyTestsManagementPoliciesDisabledStatus,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_quarantined import (
TestOptimizationFlakyTestsManagementPoliciesQuarantined,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_quarantined_failure_rate_rule import (
TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_update_request import (
TestOptimizationFlakyTestsManagementPoliciesUpdateRequest,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_update_request_attributes import (
TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes,
)
from datadog_api_client.v2.model.test_optimization_flaky_tests_management_policies_update_request_data import (
TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData,
)
from datadog_api_client.v2.model.test_optimization_update_flaky_tests_management_policies_request_data_type import (
TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType,
)
body = TestOptimizationFlakyTestsManagementPoliciesUpdateRequest(
data=TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData(
attributes=TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes(
attempt_to_fix=TestOptimizationFlakyTestsManagementPoliciesAttemptToFix(
retries=3,
),
disabled=TestOptimizationFlakyTestsManagementPoliciesDisabled(
auto_disable_rule=TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule(
enabled=False,
status=TestOptimizationFlakyTestsManagementPoliciesDisabledStatus.ACTIVE,
window_seconds=3600,
),
branch_rule=TestOptimizationFlakyTestsManagementPoliciesBranchRule(
branches=[
"main",
],
enabled=True,
excluded_branches=[],
excluded_test_services=[],
),
enabled=False,
failure_rate_rule=TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule(
branches=[],
enabled=False,
min_runs=10,
status=TestOptimizationFlakyTestsManagementPoliciesDisabledStatus.ACTIVE,
threshold=0.5,
),
),
quarantined=TestOptimizationFlakyTestsManagementPoliciesQuarantined(
auto_quarantine_rule=TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule(
enabled=True,
window_seconds=3600,
),
branch_rule=TestOptimizationFlakyTestsManagementPoliciesBranchRule(
branches=[
"main",
],
enabled=True,
excluded_branches=[],
excluded_test_services=[],
),
enabled=True,
failure_rate_rule=TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule(
branches=[
"main",
],
enabled=True,
min_runs=10,
threshold=0.5,
),
),
repository_id="github.com/datadog/shopist",
),
type=TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType.TEST_OPTIMIZATION_UPDATE_FLAKY_TESTS_MANAGEMENT_POLICIES_REQUEST,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = TestOptimizationApi(api_client)
response = api_instance.update_flaky_tests_management_policies(body=body)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"불안정한 테스트 관리 정책 업데이트
# Update Flaky Tests Management policies returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::TestOptimizationAPI.new
body = DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesUpdateRequest.new({
data: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData.new({
attributes: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes.new({
attempt_to_fix: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesAttemptToFix.new({
retries: 3,
}),
disabled: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesDisabled.new({
auto_disable_rule: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule.new({
enabled: false,
status: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesDisabledStatus::ACTIVE,
window_seconds: 3600,
}),
branch_rule: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesBranchRule.new({
branches: [
"main",
],
enabled: true,
excluded_branches: [],
excluded_test_services: [],
}),
enabled: false,
failure_rate_rule: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule.new({
branches: [],
enabled: false,
min_runs: 10,
status: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesDisabledStatus::ACTIVE,
threshold: 0.5,
}),
}),
quarantined: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesQuarantined.new({
auto_quarantine_rule: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule.new({
enabled: true,
window_seconds: 3600,
}),
branch_rule: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesBranchRule.new({
branches: [
"main",
],
enabled: true,
excluded_branches: [],
excluded_test_services: [],
}),
enabled: true,
failure_rate_rule: DatadogAPIClient::V2::TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule.new({
branches: [
"main",
],
enabled: true,
min_runs: 10,
threshold: 0.5,
}),
}),
repository_id: "github.com/datadog/shopist",
}),
type: DatadogAPIClient::V2::TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType::TEST_OPTIMIZATION_UPDATE_FLAKY_TESTS_MANAGEMENT_POLICIES_REQUEST,
}),
})
p api_instance.update_flaky_tests_management_policies(body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"불안정한 테스트 관리 정책 업데이트
// Update Flaky Tests Management policies returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_test_optimization::TestOptimizationAPI;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesAttemptToFix;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesBranchRule;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesDisabled;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesDisabledStatus;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesQuarantined;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesUpdateRequest;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes;
use datadog_api_client::datadogV2::model::TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData;
use datadog_api_client::datadogV2::model::TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType;
#[tokio::main]
async fn main() {
let body =
TestOptimizationFlakyTestsManagementPoliciesUpdateRequest::new(
TestOptimizationFlakyTestsManagementPoliciesUpdateRequestData::new(
TestOptimizationFlakyTestsManagementPoliciesUpdateRequestAttributes::new(
"github.com/datadog/shopist".to_string(),
)
.attempt_to_fix(TestOptimizationFlakyTestsManagementPoliciesAttemptToFix::new().retries(3))
.disabled(
TestOptimizationFlakyTestsManagementPoliciesDisabled::new()
.auto_disable_rule(
TestOptimizationFlakyTestsManagementPoliciesAutoDisableRule::new()
.enabled(false)
.status(TestOptimizationFlakyTestsManagementPoliciesDisabledStatus::ACTIVE)
.window_seconds(3600),
)
.branch_rule(
TestOptimizationFlakyTestsManagementPoliciesBranchRule::new()
.branches(vec!["main".to_string()])
.enabled(true)
.excluded_branches(vec![])
.excluded_test_services(vec![]),
)
.enabled(false)
.failure_rate_rule(
TestOptimizationFlakyTestsManagementPoliciesDisabledFailureRateRule::new()
.branches(vec![])
.enabled(false)
.min_runs(10)
.status(TestOptimizationFlakyTestsManagementPoliciesDisabledStatus::ACTIVE)
.threshold(0.5 as f64),
),
)
.quarantined(
TestOptimizationFlakyTestsManagementPoliciesQuarantined::new()
.auto_quarantine_rule(
TestOptimizationFlakyTestsManagementPoliciesAutoQuarantineRule::new()
.enabled(true)
.window_seconds(3600),
)
.branch_rule(
TestOptimizationFlakyTestsManagementPoliciesBranchRule::new()
.branches(vec!["main".to_string()])
.enabled(true)
.excluded_branches(vec![])
.excluded_test_services(vec![]),
)
.enabled(true)
.failure_rate_rule(
TestOptimizationFlakyTestsManagementPoliciesQuarantinedFailureRateRule::new()
.branches(vec!["main".to_string()])
.enabled(true)
.min_runs(10)
.threshold(0.5 as f64),
),
),
TestOptimizationUpdateFlakyTestsManagementPoliciesRequestDataType
::TEST_OPTIMIZATION_UPDATE_FLAKY_TESTS_MANAGEMENT_POLICIES_REQUEST,
),
);
let configuration = datadog::Configuration::new();
let api = TestOptimizationAPI::with_config(configuration);
let resp = api.update_flaky_tests_management_policies(body).await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run불안정한 테스트 관리 정책 업데이트
/**
* Update Flaky Tests Management policies returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
const apiInstance = new v2.TestOptimizationApi(configuration);
const params: v2.TestOptimizationApiUpdateFlakyTestsManagementPoliciesRequest =
{
body: {
data: {
attributes: {
attemptToFix: {
retries: 3,
},
disabled: {
autoDisableRule: {
enabled: false,
status: "active",
windowSeconds: 3600,
},
branchRule: {
branches: ["main"],
enabled: true,
excludedBranches: [],
excludedTestServices: [],
},
enabled: false,
failureRateRule: {
branches: [],
enabled: false,
minRuns: 10,
status: "active",
threshold: 0.5,
},
},
quarantined: {
autoQuarantineRule: {
enabled: true,
windowSeconds: 3600,
},
branchRule: {
branches: ["main"],
enabled: true,
excludedBranches: [],
excludedTestServices: [],
},
enabled: true,
failureRateRule: {
branches: ["main"],
enabled: true,
minRuns: 10,
threshold: 0.5,
},
},
repositoryId: "github.com/datadog/shopist",
},
type: "test_optimization_update_flaky_tests_management_policies_request",
},
},
};
apiInstance
.updateFlakyTestsManagementPolicies(params)
.then((data: v2.TestOptimizationFlakyTestsManagementPoliciesResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"