This PR adds support for the `potentiallyStale` value in the feature
search API. The value is added as a third option for `state` (in
addition to `stale` and `active`). Potentially stale is a subset of
active flags, so stale flags are never considered potentially stale,
even if they have the flag set in the db.
Because potentially stale is a separate column in the db, this
complicates the query a bit. As such, I've created a specialized
handling function in the feature search store: if the query doesn't
include `potentiallyStale`, handle it as we did before (the mapping has
just been moved). If the query *does* contain potentially stale, though,
the handling is quite a bit more involved because we need to check
multiple different columns against each other.
In essence, it's based on this logic:
when you’re searching for potentially stale flags, you should only get flags that are active and marked as potentially stale. You should not get stale flags.
This can cause some confusion, because in the db, we don’t clear the potentially stale status when we mark a flag as stale, so we can get flags that are both stale and potentially stale.
However, as a user, if you’re looking for potentially stale flags, I’d be surprised to also get (only some) stale flags, because if a flag is stale, it’s definitely stale, not potentially stale.
This leads us to these six different outcomes we need to handle when your search includes potentially stale and stale or active:
1. You filter for “potentially stale” flags only. The API will give you only flags that are active and marked as potentially stale. You will not get stale flags.
2. You filter only for flags that are not potentially stale. You will get all flags that are active and not potentially stale and all stale flags.
3. You search for “is any of stale, potentially stale”. This is our “unhealthy flags” metric. You get all stale flags and all flags that are active and potentially stale
4. You search for “is none of stale, potentially stale”: This gives you all flags that are active and not potentially stale. Healthy flags, if you will.
5. “is any of active, potentially stale”: you get all active flags. Because we treat potentially stale as a subset of active, this is the same as “is active”
6. “is none of active, potentially stale”: you get all stale flags. As in the previous point, this is the same as “is not active”
## About the changes
- Remove `idNumberMiddleware` method and change to use `parameters`
field in `openApiService.validPath` method for the flexibility.
- Remove unnecessary `Number` type converting method and change them to
use `<{id: number}>` to specify the type.
### Reference
The changed response looks like the one below.
```JSON
{
"id":"8174a692-7427-4d35-b7b9-6543b9d3db6e",
"name":"BadDataError",
"message":"Request validation failed: your request body or params contain invalid data. Refer to the `details` list for more information.",
"details":[
{
"message":"The `/params/id` property must be integer. You sent undefined.",
"path":"/params/id"
}
]
}
```
I think it might be better to customize the error response, especially
`"You sent undefined."`, on another pull request if this one is
accepted. I prefer to separate jobs to divide the context and believe
that it helps reviewer easier to understand.
Remove everything related to the connected environment count for project
status. We decided that because we don't have anywhere to link it to at
the moment, we don't want to show it yet.
## About the changes
Builds on top of #8766 to use memoized results from stats-service.
Because stats service depends on version service, and to avoid making
the version service depend on stats service creating a cyclic
dependency. I've introduced a telemetry data provider. It's not clean
code, but it does the job.
After validating this works as expected I'll clean up
Added an e2e test validating that the replacement is correct:
[8475492](847549234c)
and it did:
https://github.com/Unleash/unleash/actions/runs/11861854341/job/33060032638?pr=8776#step:9:294
Finally, cleaning up version service
## About the changes
Our stats are used for many places and many times to publish prometheus
metrics and some other things.
Some of these queries are heavy, traversing all tables to calculate
aggregates.
This adds a feature flag to be able to memoize 1 minute (by default) how
long to keep the calculated values in memory.
We can use the key of the function to individually control which ones
are memoized or not and for how long using a numeric variant.
Initially, this will be disabled and we'll test in our instances first
This PR adds stale flag count to the project status payload. This is
useful for the project status page to show the number of stale flags in
the project.
This PR moves the project lifecycle summary to its own subdirectory and
adds files for types (interface) and a fake implementation.
It also adds a query for archived flags within the last 30 days taken
from `getStatusUpdates` in `src/lib/features/project/project-service.ts`
and maps the gathered data onto the expected structure. The expected
types have also been adjusted to account for no data.
Next step will be hooking it up to the project status service, adding
schema, and exposing it in the controller.
This PR adds more tests to check a few more cases for the lifecycle
calculation query. Specifically, it tests that:
- If we don't have any data for a stage, we return `null`.
- We filter on projects
- It correctly takes `0` days into account when calculating averages.
This PR adds a project lifecycle read model file along with the most
important (and most complicated) query that runs with it: calculating
the average time spent in each stage.
The calculation relies on the following:
- when calculating the average of a stage, only flags who have gone into
a following stage are taken into account.
- we'll count "next stage" as the next row for the same feature where
the `created_at` timestamp is higher than the current row
- if you skip a stage (go straight to live or archived, for instance),
that doesn't matter, because we don't look at that.
The UI only shows the time spent in days, so I decided to go with
rounding to days directly in the query.
## Discussion point:
This one uses a subquery, but I'm not sure it's possible to do without
it. However, if it's too expensive, we can probably also cache the value
somehow, so it's not calculated more than every so often.
This change introduces a new method `countProjectTokens` on the
`IApiTokenStore` interface. It also swaps out the manual filtering for
api tokens belonging to a project in the project status service.
Do not count stale flags as potentially stale flags to remove
duplicates.
Stale flags feel like more superior state and it should not show up
under potentially stale.
This PR adds member, api token, and segment counts to the project status
payload. It updates the schemas and adds the necessary stores to get
this information. It also adds a new query to the segments store for
getting project segments.
I'll add tests in a follow-up.
This PR adds connected environments to the project status payload.
It's done by:
- adding a new `getConnectedEnvironmentCountForProject` method to the
project store (I opted for this approach instead of creating a new view
model because it already has a `getEnvironmentsForProject` method)
- adding the project store to the project status service
- updating the schema
For the schema, I opted for adding a `resources` property, under which I
put `connectedEnvironments`. My thinking was that if we want to add the
rest of the project resources (that go in the resources widget), it'd
make sense to group those together inside an object. However, I'd also
be happy to place the property on the top level. If you have opinions
one way or the other, let me know.
As for the count, we're currently only counting environments that have
metrics and that are active for the current project.
This was an oversight. The test would always fail after 2024-11-04,
because yesterday is no longer 2024-11-03. This way, we're using the
same string in both places.
Adding project status schema definition, controller, service, e2e test.
Next PR will add functionality for activity object.
---------
Co-authored-by: Thomas Heartman <thomas@getunleash.io>
The two lints being turned off are new for 1.9.x and caused a massive
diff inside frontend if activated. To reduce impact, these were turned off for
the merge. We might want to look at turning them back on once we're
ready to have a semantic / a11y refactor of our frontend.
Archived features can be searched now.
This is the backend and small parts of frontend preparing to add
filters, buttons etc in next PR.
---------
Co-authored-by: Thomas Heartman <thomas@getunleash.io>
This change fixes a bug in the event filter's `to` query parameter.
The problem was that in an attempt to make it inclusive, we also
stripped it of the `IS:` prefix, which meant it had no effect. This
change fixes that by first splitting the value, fixing only the
date (because we want it to include the entire day), and then joining
it back together.
## About the changes
We have many aggregation queries that run on a schedule:
f63496d47f/src/lib/metrics.ts (L714-L719)
These staticCounters are usually doing db query aggregations that
traverse tables and we run all of them in parallel:
f63496d47f/src/lib/metrics.ts (L410-L412)
This can add strain to the db. This PR suggests a way of handling these
queries in a more structured way, allowing us to run them sequentially
(therefore spreading the load):
f02fe87835/src/lib/metrics-gauge.ts (L38-L40)
As an additional benefit, we get both the gauge definition and the
queries in a single place:
f02fe87835/src/lib/metrics.ts (L131-L141)
This PR only tackles 1 metric, and it only focuses on gauges to gather
initial feedback. The plan is to migrate these metrics and eventually
incorporate more types (e.g. counters)
---------
Co-authored-by: Nuno Góis <github@nunogois.com>
This gives us better types for our wrapTimer function.
Maybe the type `(args: any) => any` could also be improved
---------
Co-authored-by: Nuno Góis <nuno@getunleash.io>
