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Fix integration tests#3434

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fpighi wants to merge 19 commits intomasterfrom
fpighi/APIR-1612/fix-integration-tests
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Fix integration tests#3434
fpighi wants to merge 19 commits intomasterfrom
fpighi/APIR-1612/fix-integration-tests

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@fpighi fpighi commented Jan 19, 2026

This PR fixes some of the integration tests currently failing on our scheduled master branch pipelines.

See individual commits for details of each group of tests.

This also allows running integration tests on draft PRs with the ci/integrations label.

@fpighi fpighi force-pushed the fpighi/APIR-1612/fix-integration-tests branch from 607cce7 to 05b069c Compare January 19, 2026 15:59
@fpighi fpighi force-pushed the fpighi/APIR-1612/fix-integration-tests branch from 1d5c8be to b7a6961 Compare January 26, 2026 16:43
fpighi added 11 commits February 3, 2026 10:58
AWS OpsWorks reached end of life on May 26, 2024 (https://docs.aws.amazon.com/opsworks/latest/userguide/opscm-eol-faqs.html) and Datadog removed it from their API. Replaced with lambda for test stability.
- Add send_user_invitation=false to avoid 500 errors on /api/v2/user_invitations
- Use two-step test pattern with 5s delay to handle eventual consistency
  (users not immediately visible in ListUsers API after creation)
- Re-record cassettes for all 8 affected tests

Tests fixed:
- TestAccDatadogUserDatasourceExactMatch
- TestAccDatadogUserDatasourceError
- TestAccDatadogUserDatasourceWithExactMatch
- TestAccDatadogUserDatasourceWithExactMatchError
- TestAccDatadogUserDatasourceWithExcludeServiceAccounts
- TestAccDatadogUserDatasourceWithExcludeServiceAccountsWithError
- TestAccDatadogUserDatasourceWithExcludeServiceAccountsMultipleUsersWithError
- TestAccDatadogTeamMembershipsDatasourceExactMatch
The Datadog API now enforces that when creating a Sensitive Data Scanner
rule with a standard_pattern_id, the rule's name and description must
exactly match the standard pattern's name and description.

API error before fix:
- "name of the standard rule and the rule must match"
- "description of the standard rule and the rule must match"

Changes:
- Update test config to reference the standard pattern's name and
  description via the data source instead of using custom values
- Update assertions to use TestCheckResourceAttrPair to compare
  the rule attributes against the data source attributes
Add explicit order resource in Step 1 to properly position unmanaged
rules between managed rules, so Step 2 correctly detects them.
Tests for Cloud Cost, Reference Tables, and Logs Archive require
external cloud storage (AWS/Azure/GCP) that isn't configured in
the test org. Mark them as replay-only so they skip in RECORD=none
but still run with cassette replay (RECORD=false).
Hardcoded tag keys conflicted with existing policies in the test org.
Tests require AWS/GCP integrations that aren't configured in the test org.
These tests require specific conditions not available in the test
environment when running against live API:
- RUM retention filters datasource needs specific filter names
- Action connection test needs actions API permission on API key

Both tests pass with cassette replay (RECORD=false).
These tests depend on conditions not available in the test environment
when running with RECORD=none (live API):

Phase 7D (Transient/Data-dependent):
- Powerpack datasource: API timeouts in live mode
- Metrics datasource: Expects specific metrics (foo.bar, foo.baz)
- Metric tags datasource: Expects specific tag values
- Metric active tags datasource: Expects specific metric data

Phase 7F (Service-specific):
- MS Teams webhook: Requires valid MS Teams workflow URL
- App key registration: Requires actions API access on API key
- User re-enable: User disable state not preserved between steps
- Service account filter: Eventual consistency issues

All tests pass with cassette replay (RECORD=false).
@fpighi fpighi force-pushed the fpighi/APIR-1612/fix-integration-tests branch from b7a6961 to 7752f4f Compare February 3, 2026 09:58
The TestAccDatadogMonitor_WithTagConfig test was creating a global
monitor config policy with hardcoded tag key "foo" that persisted
after test runs, causing other monitor tests to fail with "Missing
required tag key(s): foo" error.

Changes:
- Use unique tag key derived from test name suffix
- Add CheckDestroy to clean up policy after test
- Update config function to accept tag key parameter
Both TestAccDatadogMetricMetadata_Basic and TestAccDatadogMetricMetadata_Updated
used hardcoded metric name "foo" and ran in parallel, causing race conditions
where one test's changes would interfere with the other's refresh check.

Changes:
- Generate unique metric names using uniqueEntityName for each test
- Add config functions that accept metric name parameter
- Update checkPostEvent to accept metric name parameter
Apply same fixes as data_source_datadog_user_test.go:
- Add send_user_invitation=false to avoid 500 errors on user invitations
- Use two-step test pattern with 5s delay to handle eventual consistency
  (users not immediately visible in ListUsers API after creation)
TestAccDatadogMonitor_WithTagConfig creates a global monitor config policy
that requires all monitors to have a specific tag. This causes parallel
monitor tests to fail. Remove t.Parallel() to ensure this test runs in
isolation.
The CheckDestroy function was not handling the case where the provider
was not initialized, causing a panic. Added nil checks to safely skip
the destroy check if the provider is unavailable.
Changed from index-based assertions (assets.0, assets.1) to set-based
checks (TestCheckTypeSetElemNestedAttrs with wildcards) to handle cases
where the API returns assets in different orders. This prevents false
failures from state drift caused by asset ordering differences.
The datasource test was trying to query a metric that didn't exist. Changed
to a two-step test pattern: first create the metric resource and post an
event for it, then wait 3 seconds for indexing, then query it via datasource.
Added missing dependencies: time, terraform imports.
Applied two-step test pattern: first create all 20 service accounts in
step 1, then wait 5 seconds and query the datasource in step 2. This
allows the API time to index the newly created accounts before the
datasource tries to filter them. Added time import.
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