Vitest Pros:
* Automated failing test comments on github PRs
* A nice local UI with incremental testing when changing files (`yarn
test:ui`)
* Also nicely supported in all major IDEs, click to run test works (so
we won't miss what we had with jest).
* Works well with ESM
Vitest Cons:
* The ESBuild transformer vitest uses takes a little longer to transform
than our current SWC/jest setup, however, it is possible to setup SWC as
the transformer for vitest as well (though it only does one transform,
so we're paying ~7-10 seconds instead of ~ 2-3 seconds in transform
phase).
* Exposes how slow our tests are (tongue in cheek here)
https://linear.app/unleash/issue/2-3564/remove-filterexistingflagnames-feature-flag
We're removing the `filterExistingFlagNames` feature flag since we've
decided we want this to be the default behavior.
We don't need to rush to merge it, just in case we need to disable this
for any reason. However it should also be pretty easy to just revert if
needed.
Changes in tests are a bit tricky since they assumed the previous
behavior where we always registered metrics, even for non existing flag
names. `cachedFeatureNames` is also memoized with a TTL of 10s, so the
easiest way to overcome this was to override `cachedFeatureNames` to
return what we expected. As long as they return the same flag names that
we expect, we're able to register their metrics.
Let me know if you can think of a better approach.
Improves handling of constraints in use that have been deleted.
This change implments a few small changes on both the front and the back
end on how we deal with constraints that have been deleted.
The most important change is on the back end, in the
`/constraints/validate` endpoint. We used to throw here if the
constraint couldn't be found, but the only reason we wanted to look for
the constraint in the db was to check for legal values. Now, instead,
we'll allow you to pass a constraint field that doesn't exist in the
database. We'll still check the values against the operator for
validity, we just don't control legal values anymore (because there
aren't any).
On the front end, we improve the handling by showing the deleted context
filed in the dropdown, both when the selector dropdown is closed and
when it is open. However, if you change the context field, we remove the
deleted field from the list. This seems like a sensible tradeoff. Means
you can't select it if you've deselected it.
We're migrating to ESM, which will allow us to import the latest
versions of our dependencies.
Co-Authored-By: Christopher Kolstad <chriswk@getunleash.io>
Add `getProjectLinkTemplates` method to ProjectStore and corresponding
test. Ideally this should be in a read-model, but let's finish link
templates end to end
Adds support for link templates in projects, allowing reusable URL
patterns with placeholders. Includes validation, database changes,
updated API schemas, and tests.
https://linear.app/unleash/issue/2-3406/hold-unknown-flags-in-memory-and-show-them-in-the-ui-somehow
This PR introduces a suggestion for a “unknown flags” feature.
When clients report metrics for flags that don’t exist in Unleash (e.g.
due to typos), we now track a limited set of these unknown flag names
along with the appnames that reported them. The goal is to help users
identify and clean up incorrect flag usage across their apps.
We store up to 10 unknown flag + appName combinations, keeping only the
most recent reports. Data is collected in-memory and flushed
periodically to the DB, with deduplication and merging to ensure we
don’t exceed the cap even across pods.
We were especially careful to make this implementation defensive, as
unknown flags could be reported in very high volumes. Writes are
batched, deduplicated, and hard-capped to avoid DB pressure.
No UI has been added yet — this is backend-only for now and intended as
a step toward better visibility into client misconfigurations.
I would suggest starting with a simple banner that opens a dialog
showing the list of unknown flags and which apps reported them.
<img width="497" alt="image"
src="https://github.com/user-attachments/assets/b7348e0d-0163-4be4-a7f8-c072e8464331"
/>
This test was flaky once an hour because subminutes 3 made it fall into
the wrong bucket when tests were run exactly or minutes after the our
had passed.
Also, the databases created were created with the system clock. I
altered it to be explicitly UTC.
As part of preparation for ESM and node/TSC updates, this PR will make
Unleash build with strictNullChecks set to true, since that's what's in
our tsconfig file. Hence, this PR also removes the `--strictNullChecks
false` flag in our compile tasks in package.json.
TL;DR - Clean up your code rather than turning off compiler security
features :)
## About the changes
Some automation may keep some data up-to-date (e.g. segments). These
updates sometimes don't generate changes but we're still storing these
events in the event log and triggering reactions to those events.
Arguably, this could be done in each service domain logic, but it seems
to be a pretty straightforward solution: if preData and data are
provided, it means some change happened. Other events that don't have
preData or don't have data are treated as before.
Tests were added to validate we don't break other events.
When project is moved, then Unleash creates only one event, which is for
target project.
We also need one for source project, to know that project was moved out
of it.
Test will be in enterprise repo.
This fixes a problem where the yggdrasil-engine does not send the
correct value for bucket.start. In practice clients sends metrics every
60s and it does not matter if we use start or the stop timestamp to
resolve the nearest full hour.
## About the changes
Based on the first hypothesis from
https://github.com/Unleash/unleash/pull/9264, I decided to find an
alternative way of initializing the DB, mainly trying to run migrations
only once and removing that from the actual test run.
I found in [Postgres template
databases](https://www.postgresql.org/docs/current/manage-ag-templatedbs.html)
an interesting option in combination with jest global initializer.
### Changes on how we use DBs for testing
Previously, we were relying on a single DB with multiple schemas to
isolate tests, but each schema was empty and required migrations or
custom DB initialization scripts.
With this method, we don't need to use different schema names
(apparently there's no templating for schemas), and we can use new
databases. We can also eliminate custom initialization code.
### Legacy tests
This method also highlighted some wrong assumptions in existing tests.
One example is the existence of `default` environment, that because of
being deprecated is no longer available, but because tests are creating
the expected db state manually, they were not updated to match the
existing db state.
To keep tests running green, I've added a configuration to use the
`legacy` test setup (24 tests). By migrating these, we'll speed up
tests, but the code of these tests has to be modified, so I leave this
for another PR.
## Downsides
1. The template db initialization happens at the beginning of any test,
so local development may suffer from slower unit tests. As a workaround
we could define an environment variable to disable the db migration
2. Proliferation of test dbs. In ephemeral environments, this is not a
problem, but for local development we should clean up from time to time.
There's the possibility of cleaning up test dbs using the db name as a
pattern:
2ed2e1c274/scripts/jest-setup.ts (L13-L18)
but I didn't want to add this code yet. Opinions?
## Benefits
1. It allows us migrate only once and still get the benefits of having a
well known state for tests.
3. It removes some of the custom setup for tests (which in some cases
ends up testing something not realistic)
4. It removes the need of testing migrations:
https://github.com/Unleash/unleash/blob/main/src/test/e2e/migrator.e2e.test.ts
as migrations are run at the start
5. Forces us to keep old tests up to date when we modify our database
Adds a killswitch called "filterExistingFlagNames". When enabled it will
filter out reported SDK metrics and remove all reported metrics for
names that does not match an exiting feature flag in Unleash.
This have proven critical in the rare case of an SDK that start sending
random flag-names back to unleash, and thus filling up the database. At
some point the database will start slowing down due to the noisy data.
In order to not resolve the flagNames all the time we have added a small
cache (10s) for feature flag names. This gives a small delay (10s) from
flag is created until we start allow metrics for the flag when
kill-switch is enabled. We should probably listen to the event-stream
and use that invalidate the cache when a flag is created.
This is implementing the segments events for delta API. Previous version
of delta API, we were just sending all of the segments. Now we will have
`segment-updated` and `segment-removed `events coming to SDK.
Add new methods to the store behind data usage metrics that accept date
ranges instead of a single month. The old data collection methods
re-route to the new ones instead, so the new methods are tested
implicitly.
Also deprecates the new endpoint that's not in use anywhere except in an
unused service method in Enterprise yet.
## Discussion point:
Accepts from and to params as dates for type safety. You can send unparseable strings, but if you send a date object, you know it'll work.
Leaves the use of the old method in `src/lib/features/instance-stats/instance-stats-service.ts` to keep changes small.
We are changing how the Delta API works, as discussed:
1. We have removed the `updated` and `removed` arrays and now keep
everything in the `events` array.
2. We decided to keep the hydration cache separate from the events array
internally. Since the hydration cache has a special structure and may
contain not just one feature but potentially 1,000 features, it behaved
differently, requiring a lot of special logic to handle it.
3. Implemented `nameprefix` filtering, which we were missing before.
Things still to implement:
1. Segment hydration and updates to it.
Add support for querying the traffic data usage store for the aggregated data for an arbitrary number of months back.
Adds a new `getTrafficDataForMonthRange(monthsBack: number)` method to the store that aggregates data on a monthly basis by status code and traffic group. Returns a new type with month data instead of day data.
