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📝 WalkthroughWalkthroughThe change adds product-aware SLA and usage defaults in tally collectors. It updates nightly tally integration tests, event expectations, aggregation assertions, and normalization test setup for Premium and Production fallbacks. ChangesSLA and usage default resolution
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Bug fix Sequence Diagram(s)sequenceDiagram
participant Event
participant MetricUsageCollector
participant SubscriptionDefinition
participant TallyReport
Event->>MetricUsageCollector: provide SLA, usage, and product tags
MetricUsageCollector->>SubscriptionDefinition: resolve product defaults
SubscriptionDefinition-->>MetricUsageCollector: return configured defaults or null
MetricUsageCollector->>TallyReport: create Premium, Production, or configured bucket
Merge Risk: 🟡 Moderate · up to Events associated with multiple products can be tallied under the wrong SLA or usage when their product defaults differ. Resolve defaults for each product tuple before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 2📝 Generate docstrings 💡
🛠️ Fix failing CI checks 💡
🧪 Generate unit tests (beta)
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Inline comments:
In `@src/main/java/org/candlepin/subscriptions/tally/facts/FactNormalizer.java`:
- Around line 106-107: Update applyDefaultSlaAndUsage so PREMIUM and PRODUCTION
defaults are applied only when the corresponding source SLA or usage value is
null, preserving EMPTY for unsupported non-null values returned by
ServiceLevel.fromString and Usage.fromString. Add regression tests covering
unsupported non-null SLA and usage inputs.
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Inline comments:
In
`@swatch-metrics-hbi/src/main/java/com/redhat/swatch/hbi/events/normalization/FactNormalizer.java`:
- Line 245: Update the usage and SLA normalization around handleUsage and
handleSla so product or global defaults are applied only when the relevant
source fact is null, not when a non-null value is unsupported. Preserve the
unavailable classification for unsupported RHSM and satellite values, and add
regression coverage for unsupported SLA and usage inputs from both sources.
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Inline comments:
In `@src/main/java/org/candlepin/subscriptions/tally/MetricUsageCollector.java`:
- Around line 438-441: Update the SLA and usage resolution chains around
ServiceLevel.fromString and the corresponding usage conversion to treat blank
serialized values, including __EMPTY__, as absent before parsing; preserve
product and global fallback resolution to PREMIUM and PRODUCTION. Add a
regression case covering sla="" and usage="".
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Inline comments:
In `@src/main/java/org/candlepin/subscriptions/tally/MetricUsageCollector.java`:
- Line 443: Update the product-default stream in the metric collection flow to
remove blank values before applying distinct() and MoreCollectors.toOptional(),
so empty defaults do not resolve to ServiceLevel.EMPTY or Usage.EMPTY and the
global PREMIUM or PRODUCTION fallback remains effective. Preserve the existing
nonblank default handling and fallback chain around ServiceLevel.fromString and
Usage.fromString.
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Inline comments:
In `@src/main/java/org/candlepin/subscriptions/tally/MetricUsageCollector.java`:
- Around line 446-454: Update buildBucketTuples so effective SLA and effective
usage are resolved separately for each product tag while constructing its tuple,
rather than once before iterating all productTags. Preserve event and
service-type precedence, then apply getProductDefaultSla and
getProductDefaultUsage with the current product tag before falling back to the
existing defaults, matching InventoryAccountUsageCollector’s per-tag behavior.
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| * without SLA/Usage facts and run nightly tally - **Verification**: - Tally report with | ||
| * sla=Premium and usage=Production filters returns the host's data - Tally report with | ||
| * sla=Standard or usage=Development/Test filters returns no data - **Expected Result**: Host | ||
| * without SLA/Usage is tallied as Premium/Production |
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You should be able to remove these from both the tests now that they are in the test plan doc. Besides this and possibly addressing other remaining coderabbit comments though, the testing steps work as expected and everything else looks good.
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Change requests outlined below. Apart from those, I'd like to see a component test covering the Hourly tally as well (if it doesn't already exist).
| Usage.fromRegistryUsage(SubscriptionDefinition.getProductDefaultUsage(product)); | ||
| usageSet.add(productDefault != null ? productDefault : Usage.PRODUCTION); | ||
| } | ||
| usageSet.add(Usage._ANY); |
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To make createHostUsageKeys is a little easier to read, I'd suggest that we create individual methods to get the sla/usage sets for a product.
Set<ServiceLevel> slaSet = determineSlaSet(....).
Set<Usage> usageSet = determineUsageSet(....).
usageKeySet.addAll(
createKeyCombinations(
Set.of(product), slaSet, usageSet, Set.of(BillingProvider._ANY), Set.of("_ANY")));
| .map(Event.Usage::toString) | ||
| .map(Usage::fromString) | ||
| .orElse(usage.map(Usage::fromString).orElse(Usage.EMPTY)); | ||
| .orElse(usage.map(Usage::fromString).orElse(Usage.PRODUCTION)); |
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This feels like it could suffer from the same issue that code rabbit pointed out about SLA.
| import org.springframework.boot.test.context.SpringBootTest; | ||
| import org.springframework.test.context.ActiveProfiles; | ||
|
|
||
| @SpringBootTest |
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Because this test doesn't need to be a heavy weight spring boot test since it is only testing usage key generation. I'd use mocks and initialize the collector directly in the overall setup of the test. This way we can cut the startup time caused by @SpringBootTest and make it more of a unit test.
| } | ||
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| @Test | ||
| void testEmptySlaNdUsageDefaultsToPremiumProduction() { |
| ServiceLevel productDefault = | ||
| ServiceLevel.fromRegistrySla(SubscriptionDefinition.getProductDefaultSla(product)); | ||
| slaSet.add(productDefault != null ? productDefault : ServiceLevel.PREMIUM); |
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I'm not sure I like binding the model SLA to the registry SLA for a single use via the ServiceLevel class. It feels like this logic should remain in the calling class.
Untested, but something like this could be used here instead to accomplish the same thing, which would eliminate the static utility method. The same approach can be applied to Usage as well.
slaSet.add(
Optional.ofNullable(SubscriptionDefinition.getProductDefaultSla(product))
// If a default is found in the product config, get the model instance
// based on the config's sla value.
.map(sla -> ServiceLevel.fromString(sla.getValue()))
// If not found in config, default to PREMIUM.
.orElse(ServiceLevel.PREMIUM)
);
// ServiceLevel productDefault =
// ServiceLevel.fromRegistrySla(SubscriptionDefinition.getProductDefaultSla(product));
// slaSet.add(productDefault != null ? productDefault : ServiceLevel.PREMIUM);
- Use the defaults for the product if they exist - Premium/Production instead of EMPTY during tally
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3 participants
Jira issue: SWATCH-5518
Description
We want to stop using empty string as the placeholder when no value exists for SLA and Usage. The default of Premium and Production are already used for the hourly tallies for payg instances.
Testing
Setup
./import_hbi_hosts_by_org.sh --org-id=4592029 --batch-modeSteps
make swatch-tally PROFILES="dev api worker"http PUT ":8010/api/rhsm-subscriptions/v1/internal/rpc/tally/snapshots/4592029" x-rh-swatch-psk:placeholderVerification
select host_id, product_id, usage, sla from hosts a join host_tally_buckets b on a.id = b.host_id where a.inventory_id = '[hbi.host.id]';Summary by CodeRabbit
New Features
Bug Fixes