feat: add include_current_bucket to dimension_anomalies

[joostboon]

Summary

Anomaly tests only score complete time buckets. For data that lands once per bucket, like a monthly upload per country, that means a short upload is only detected after the month has ended, and only on the next dbt run after that.

This adds an opt-in include_current_bucket option to dimension_anomalies:

- elementary.dimension_anomalies:
    dimensions: [country]
    timestamp_column: period_start
    time_bucket: {period: month, count: 1}
    include_current_bucket: true

With it enabled:

• The bucket that is still in progress is included in the monitored window and scored on every run.
• Dimension values with no rows in the current bucket are not zero-filled, because they have not arrived yet (this is not a drop). Complete buckets are zero-filled as before.
• The current bucket is never treated as cached, so it is recalculated on each run until it completes.
• It requires a timestamp_column (compile error otherwise).
• Only dimension_anomalies reads it. Setting it in vars or on a model has no effect on other anomaly tests.
• A partial snapshot of the current bucket is never cached as its final value: a metric only counts as cached if it was calculated after its bucket ended, so the bucket is recalculated once it completes. This check only applies with the option on, so the default path is unchanged.

With it disabled (the default), behaviour is unchanged. No adapter-specific macros are touched: the change passes "end of the current bucket" as the window end in get_metric_buckets_min_and_max, get_anomaly_scores_query and the dimension zero-fill, only when the option is on.

This is intended for data that arrives in one go per bucket (snapshot uploads, deliveries). For streaming data a partial bucket naturally looks like a drop, which is why the default waits for complete buckets.

Rerun alignment fix (split out into #1078)

While testing, I found that monthly dimension anomaly tests on sources or incremental models fail falsely on their second run, on unmodified master, because the backfill start isn't aligned to the time bucket. As suggested in review, the fix is split out into #1078 so it can be released or reverted on its own. This PR's weekly and monthly tests depend on it, so #1078 should merge first. Until then the same change is also in this branch; updating from master afterwards drops it from this diff.

Tests

New integration tests in test_dimension_anomalies.py:

• test_include_current_bucket_detects_anomaly_in_current_bucket: passes by default, fails with the option.
• test_include_current_bucket_passes_on_normal_current_bucket
• test_include_current_bucket_ignores_dimension_not_arrived_yet
• test_include_current_bucket_ignores_deleted_rows: rows deleted from the current bucket are not scored from the metric an earlier run stored for it.
• test_include_current_bucket_monthly_snapshot_upload: monthly uploads, a short upload is detected in the month it lands.
• test_buckets_stay_aligned_on_rerun[week|month]: regression test for the alignment fix, which moves to fix: align the backfill start to the time bucket on reruns #1078 (month skipped on Redshift, which has no monthly buckets).
• test_include_current_bucket_tests_previous_bucket[week|month]: a dimension that skipped the previous bucket is still detected once that bucket is complete, so testing the current bucket does not push the last complete bucket out of the detection window.
• test_include_current_bucket_requires_timestamp_column: the compile error without a timestamp_column.
• test_include_current_bucket_with_multi_hour_buckets[source|model]: 4-hour buckets (count > 1), on the incremental path and on a table model, which recalculates all buckets.
• test_include_current_bucket_recalculates_partial_bucket: a partial snapshot is recalculated once its bucket has ended, even when the next run is outside backfill_days.

test_anomaly_test_configuration.py sets the new key in vars, model and test config and checks that it is ignored by tests that do not support it.

Ran locally against Postgres and DuckDB: all anomaly-related suites pass (dimension, volume, column, all columns, freshness, event freshness, backfill logic, ranges, exclude metrics, test configuration, collect metrics, nested struct).

The fixes and review changes on top (the last complete bucket stays in the detection window, stale current-bucket metrics are not scored, and the cache rule only applies with the option on) were run against DuckDB only: the dimension, test configuration and backfill logic suites pass, and the regression tests fail without their fixes.

Follow-ups

• Docs page for the new option. It should mention that a dimension with no rows in the current bucket is not flagged while that bucket is in progress. Once the bucket has ended it is zero-filled and tested like any complete bucket, in the usual detection window (for monthly buckets with the default backfill_days, on every run of the following month).
• Report and Cloud charts: anchor the shaded detection window on max_bucket_end instead of the newest end_time, and mark the in-progress bucket. Cloud's currentVsExpected also reports an in-progress bucket's partial value (details in the review discussion).

🤖 Generated with Claude Code

Summary by CodeRabbit

• New Features
  • Dimension anomaly checks can include the in-progress time bucket, allowing partial current-day, weekly, or monthly data to be evaluated. This option requires a timestamp column.
  • Dimensions with no data in the current bucket are not automatically treated as having dropped to zero.
• Bug Fixes
  • Weekly and monthly buckets remain aligned across reruns, and checks still identify missing dimensions in completed buckets.
  • In-progress buckets are recalculated as data changes, so deleted or outdated rows are not scored using earlier metrics.

[github-actions]

👋 @joostboon
Thank you for raising your pull request.
Please make sure to add tests and document all user-facing changes.
You can do this by editing the docs files in the elementary repository.

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📝 Walkthrough

Walkthrough

The change adds include_current_bucket to dimension anomaly tests. When enabled, bucket boundaries include the current bucket, and the dimension query applies a bucket-end limit. Tests cover daily and monthly data, missing current-day rows, and reruns.

Changes

Current Bucket Anomaly Detection

Layer / File(s)	Summary
Configure and pass the current-bucket option macros/edr/tests/test_configuration/get_anomalies_test_configuration.sql, macros/edr/tests/test_dimension_anomalies.sql, integration_tests/tests/test_anomaly_test_configuration.py	The test configuration resolves and returns include_current_bucket. It raises a compiler error if the option is enabled without a timestamp column. dimension_anomalies passes the option to bucket calculation and the dimension query. The expected configuration includes the new value.
Calculate current bucket boundaries macros/edr/data_monitoring/data_monitors_configuration/get_buckets_configuration.sql, macros/edr/data_monitoring/anomaly_detection/get_anomaly_scores_query.sql	Bucket configuration calculates the current bucket end and uses it when the option is enabled. The anomaly-score query uses the selected end to generate and filter buckets.
Filter dimension buckets and test current-bucket behavior macros/edr/data_monitoring/monitors_query/dimension_monitoring_query.sql, integration_tests/tests/test_dimension_anomalies.py	The dimension query applies a bucket-end limit when include_current_bucket and detection_end are set. Integration tests cover daily and monthly anomalies, normal current-bucket data, dimensions with no current rows, and monthly reruns.

Priority: ➖ Normal

Estimated code review effort: 3 (Moderate) | ~25 minutes

Change: Feature

Sequence Diagram(s)

sequenceDiagram
  participant DimensionAnomalies as dimension_anomalies
  participant TestConfiguration as get_anomalies_test_configuration
  participant BucketConfiguration as get_metric_buckets_min_and_max
  participant DimensionQuery as dimension_monitoring_query
  DimensionAnomalies->>TestConfiguration: Resolve include_current_bucket
  DimensionAnomalies->>BucketConfiguration: Calculate bucket boundaries with the option
  DimensionAnomalies->>DimensionQuery: Pass the option and detection end

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Merge Risk | ⚪ Minimal · up to a3de5

Merge Risk: ⚪ Minimal · up to a3de5

The added test checks that unsupported anomaly tests ignore the option as intended. No actionable merge-blocking risk is established in the supplied changes.

Security Architecture Review

Security architecture risk: 🔵 Low · up to a3de5

The option remains limited to dimension anomaly tests within the existing warehouse monitoring workflow. Checks prevent incomplete snapshots from being treated as final cached metrics. No introduced security finding was established, but concurrent-run and interrupted-run recovery guarantees remain incompletely validated.

Retained concerns
No architecture-level concerns identified.

Security review details

Security Blast Radius

• inferred — The directly expanded data scope is the additional bucket for configured dimension monitoring. The inspected path still reads the configured warehouse asset and writes through existing Elementary relations; it does not establish a new remote entrypoint or broader identity authority. Effective tenant and warehouse permission boundaries remain unverified.

Trust Boundaries and Controls

• observed — Capability gating and the timestamp prerequisite constrain configuration propagation. The completed-metric cache predicate and exclusion of stored current-bucket snapshots constrain stale-data reuse; they are consistency controls, not authorization checks.

Resilience and Maintainability Implications

• observed — The unchanged lifecycle creates non-temporary, timestamp-suffixed test relations, appends metrics before publishing result rows, and performs configured cleanup later in the normal end-of-run hook. Recovery after process interruption and atomicity across metric and result publication were not established. These are pre-existing mechanisms, not verified PR-introduced failures.
• observed — The unchanged result consumer selects identity metadata from the last returned score row without explicitly sorting that selection, while counting failures across all anomalous rows. Multiple historical buckets already reached this consumer before the PR; the additional bucket does not by itself establish a worsened security or failure-containment condition.

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Title check	✅ Passed	The title clearly and concisely identifies the main change: adding include_current_bucket to dimension_anomalies.

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Inline comments:
Review comments at
@macros/edr/data_monitoring/anomaly_detection/get_anomaly_scores_query.sql:
- Line 77: Update the include_current_bucket branch in get_anomaly_scores_query
so historical data_monitoring_metrics are limited to completed buckets, while
current-bucket metrics come only from test_metrics_table_relation. Add a rerun
regression covering removal of all current-bucket rows for a previously
anomalous dimension.

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• macros/edr/data_monitoring/anomaly_detection/get_anomaly_scores_query.sql
• macros/edr/data_monitoring/data_monitors_configuration/get_buckets_configuration.sql
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[MikaKerman]

Two questions on downstream consumers: with the option on, elementary_test_results rows can have a bucket_end in the future with a partial value, and data_monitoring_metrics holds partial snapshots until the bucket completes. Do the CLI report and Cloud ingestion/charts handle that cleanly, or assume bucket_end <= now? Worth a quick check before the Abbott rollout.

The docs page (elementary repo) should land with the release. It should say that a dimension with no rows in the in-progress bucket isn't flagged until the bucket ends, and that a partial upload looks like a drop. The branch is also behind master.

[joostboon]

Thanks for the review, @MikaKerman. On your two summary points:

Downstream consumers. I checked the CLI (report and alerts) and Cloud. Nothing filters, drops or crashes on a future bucket_end: alerts, incidents and time windows all use the run time. Three things are misleading, all on the UI side:

• The report chart and the Cloud anomaly chart anchor the shaded detection window on the newest end_time. With the option on, that is the future end of the current bucket, so with monthly buckets in a 31-day month the last complete month is drawn grey as training, even though it's tested and may be the one that failed. Anchoring on max_bucket_end, which the result rows already carry, would fix it.
• The in-progress bucket is plotted at its future end date, with no "in progress" marker.
• Cloud's currentVsExpected (also behind MCP get_asset_status) reports an anomalous in-progress bucket with its partial value and a future observedAt.

dimension_anomalies metrics aren't synced to Cloud (only collect_metrics ones are), so the duplicate snapshots in data_monitoring_metrics never reach it. None of the three blocks the package change, but they're worth fixing before the Abbott rollout.

Docs. Agreed. The docs page should land with the release and say both things: a dimension with no rows in the in-progress bucket isn't flagged until the bucket ends, and a partial upload looks like a drop.

The branch is up to date with master again, and the alignment fix is split out into #1078.

🤖 Addressed by Claude Code