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Signed-off-by: andreas-unleash <andreas@getunleash.ai>
## About the changes
- Refactored some E2E tests to use our APIs
- Added test cases for project-specific segments
- Added validation to check a project can access a specific segment
- Fixed an OpenAPI schema that was missing segments
## Discussion points
https://github.com/Unleash/unleash/pull/3339/files#r1140008992
This PR changes how we calculate average time to production. Instead of
calculating fleeting 30 day windows and calculating the past and current
window, we now calculate a flat average across the entire project life.
This is less error prone as each feature will be tied to the earliest
time it was turned on in a production environment.
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This PR removes the return all toggles functionality. Removes the flag
as well
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[1-778](https://linear.app/unleash/issue/1-778/remove-proxyalltoggles-functionality)
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Signed-off-by: andreas-unleash <andreas@getunleash.ai>
This PR fixes a bug where the api call to getProjectSettings was left
hanging because no `end` was specified on the server
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Signed-off-by: andreas-unleash <andreas@getunleash.ai>
Co-authored-by: Nuno Góis <github@nunogois.com>
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This PR replaces localStorage with api calls for getting/setting project
scoped stickiness
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## About the changes
- Introducing ISegmentService interface to decouple from the actual
implementation
- Moving UpsertSegmentSchema to OSS to be able to use types
- Added comments where our code is coupled with segments just to
highlight and have a conversation about some use cases if needed, but
they can be removed before merging
- Removed segment service from some project features as it was not used
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Introduces 2 new endpoints (behind flag `projectScopedStickiness` to set
and get the setting
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Assume `undefined` instead of `null` for project in terms of interfacing
with segments: If the `project` field is not present, that means that it
is not set, which means we're dealing with a "global" segment. If we
want to unset `project` and make a segment global, we simply don't send
the `project` property on our PUT method.
~~Should we handle this on the store layer instead~~? 🤔
Fixing this on the store layer. Effectively, frontend is able to send
`project: null` and even if that gets magically converted to `""` it's
OK since we're covering that use case on the store layer. Backend
response will be `project: null` as well, so it should be consistent.
Project scoped stickiness
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Adds `projectScopedStickiness` flag to experimental.ts
Refactor Stickiness select for reusability
Modify FlexibleStrategy to respect the setting.
Modify EnvironmentVariantModal to respect the setting
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### What
This patches two very subtle bugs in the proxy repository that cause it
to never actually stop polling the db in the background
## Details - Issue 1
We've recently started to get the following output when running `yarn
test`:
` Attempted to log "Error: Unable to acquire a connection
at Object.queryBuilder
(/home/simon/dev/unleash/node_modules/knex/lib/knex-builder/make-knex.js:111:26)`
This seems to occur for every test suite after running the proxy tests
and the full stack trace doesn't point to anything related to the
running tests that produce this output. Running a `git bisect` points to
this commit:
6e44a65c58
being the culprit but I believe that this may have surfaced the bug
rather than causing it.
Layering in a few console logs and running Unleash, seems to point to
the proxy repository setting up data polling but never actually
terminating it when `stop` was called, which is inline with the output
here - effectively the tests were continuing to run the polling in the
background after the suite had exited and jest freaks out that an async
task is running when it shouldn't be. This is easy to reproduce once the
console logs are in place in the `dataPolling` function, by running
Unleash - creating and deleting a front end token never terminates the
poll cycle.
I believe the cause here is some subtlety around using async functions
with timers - stop was being called, which results in the timer being
cleared but a scheduled async call was already on the stack, causing the
recursive call to resolve after stop, resurrecting the timer and
reinitializing the poll cycle.
I've moved the terminating code into the async callback. Which seems to
solve the problem here.
## Details - Issue 2
Related to the first issue, when the proxy service stops the underlying
Unleash Client, it never actually calls destroy on the client, it only
removes it from its internal map. That in turn means that the Client
never calls stop on the injected repository, it only removes it from
memory. However, the scheduled task is `async` and `unref`, meaning it
continues to spin in the background until every other process also
exits. This is patched by simply calling destroy on the client when
cleaning up
## The Ugly
This is really hard to test effectively, mostly because this is an issue
caused by internals within NodeJS and async. I've added a test that
reads the output from the debug log (and also placed a debug log in the
termination code). This also requires the test code to wait until the
async task completes. This is horribly fragile so if someone has a
better idea on how to prove this I would be a very happy human.
The second ugly part is that this is a subtle issue in complex code that
really, really needs to work correctly. I'm nervous about making changes
here without lots of eyes on this
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[1-743](https://linear.app/unleash/issue/1-743/add-cypress-test-for-notifications-happy-path)
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- Create UpdateTagsSchema
- Create PUT endpoint
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Relates to#
https://linear.app/unleash/issue/1-767/refactor-existing-tag-component-to-also-allow-removing-tags
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## About the changes
Add new methods to simplify the creation of schemas for endpoints with
additional media types (other than `application/json`)
This is a follow-up on exporting an endpoint as `text/csv`
## About the changes
client-metrics-schema is less strict than proxy-metrics-schema because
the former allows empty `instanceId` and also supports dates as
timestamps as well as date-formatted strings.
Using the same schema makes sense to reduce maintainability costs and
it's less error-prone if we need to modify the schema because underlying
the schema they both use the same code.
The reasoning is that proxy metrics should align with our client
metrics. Alternatively, we have new endpoints for edge metrics that will
aggregate and bucket by client.
## Discussion points
Will we ever want to evolve proxy-metrics differently than
client-metrics? I'm under the assumption that the answer is no
