Due to how we handle redirects of embedded proxy, we ended up counting
the same request twice. This PR adds a boolean to res.locals which we
then check if set to avoid double counting.
## About the changes
What's going on is the following:
1. When a token is not found in the token's cache we try to find it in
the db
2. To prevent a denial of service attack using invalid tokens, we cache
the invalid tokens so we don't hit the db.
3. The issue is that we stored this token in the cache regardless we
found it or not. And if the token was valid the first time we'd add a
timestamp to avoid querying this token again the next time.
4. The next iteration the token should be in the cache:
54383a6578/src/lib/services/api-token-service.ts (L162)
but for some reason it is not and therefore we have to make a query. But
this is where the query prevention mechanism kicks in because it finds
the token in the cache and kicks us out. This PR fixes this by only
storing in the cache for misses if not found:
54383a6578/src/lib/services/api-token-service.ts (L164-L165)
The token was added to the cache because we were not checking if it had
expired. Now we added a check and we also have a log for expired tokens.
Some improvement opportunities:
- I don't think we display that a token has expired in the UI which
probably led to this issue
- When a token expired we don't display a specific error message or
error response saying that which is not very helpful for users
This PR introduces a configuration option (`authentication.demoAllowAdminLogin`) that allows you to log in as admin when using demo authentication. To do this, use the username `admin`.
## About the changes
The `admin` user currently cannot be accessed in `demo` authentication
mode, as the auth mode requires only an email to log in, and the admin
user is not created with an email. This change allows for logging in as
the admin user only if an `AUTH_DEMO_ALLOW_ADMIN_LOGIN` is set to `true`
(or the corresponding `authDemoAllowAdminLogin` config is enabled).
<!-- Does it close an issue? Multiple? -->
Closes#6398
### Important files
[demo-authentication.ts](https://github.com/Unleash/unleash/compare/main...00Chaotic:unleash:feat/allow_admin_login_using_demo_auth?expand=1#diff-c166f00f0a8ca4425236b3bcba40a8a3bd07a98d067495a0a092eec26866c9f1R25)
## Discussion points
Can continue discussion of [this
comment](https://github.com/Unleash/unleash/pull/6447#issuecomment-2042405647)
in this PR.
---------
Co-authored-by: Thomas Heartman <thomasheartman+github@gmail.com>
This commit adds an `environments` property to the project created
payload. The list contains only the projects that the project has
enabled.
The point of adding it is that it gives you a better overview over
what you have created.
This PR adds the `projectListNewCards` flag to the constant defined in
`experimental.ts`. This should allow the API to pass that value to the
front end.
## About the changes
Add time metrics to relevant queries:
- get
- getAll
- bulkInsert
- count
- exists
- get
Ignored because might not be that relevant:
- insert
- delete
- deleteAll
- update
## About the changes
This PR removes the feature flag `queryMissingTokens` that was fully
rolled out.
It introduces a new way of checking edgeValidTokens controlled by the
flag `checkEdgeValidTokensFromCache` that relies in the cached data but
hits the DB if needed.
The assumption is that most of the times edge will find tokens in the
cache, except for a few cases in which a new token is queried. From all
tokens we expect at most one to hit the DB and in this case querying a
single token should be better than querying all the tokens.
This makes it configurable either through a single JSON file with all
three certificates as separate keys or via separate files per
ca/cert/key key.
fixes#6718
I've tried to use/add the audit info to all events I could see/find.
This makes this PR necessarily huge, because we do store quite a few
events.
I realise it might not be complete yet, but tests
run green, and I think we now have a pattern to follow for other events.
This PR adds an optional function parameter to the `createProject`
function that is intended to enable change requests for the newly
created project.
The assumption is that all the logic within will be decided in the
enterprise impl. The only thing we want to verify here is that it is
called after the project has been created.
This PR adds functionality to the `createProject` function to choose
which environments should be enabled when you create a new project. The
new `environments` property is optional and omitting it will make it
work exactly as it does today.
The current implementation is fairly strict. We have some potential
ideas to make it easier to work with, but we haven't agreed on any yet.
Making it this strict means that we can always relax the rules later.
The rules are (codified in tests):
- If `environments` is not provided, all non-deprecated environments are
enabled
- If `environments` is provided, only the environments listed are
enabled, regardless of whether they're deprecated or not
- If `environments` is provided and is an empty array, the service
throws an error. The API should dilsallow that via the schema anyway,
but this catches it in case it sneaks in some other way.
- If `environments` is provided and contains one or more environments
that don't exist, the service throws an error. While we could ignore
them, that would lead to more complexity because we'd have to also check
that the at least one of the environments is valid. It also leads to
silent ignoring of errors, which may or may not be good for the user
experience.
The API endpoint for this sits in enterprise, so no customer-facing
changes are part of this.
We encountered an issue with a customer because this query was returning
3 million rows. The problem arose from each instance reporting
approximately 100 features, with a total of 30,000 instances. The query
was joining these, thus multiplying the data. This approach was fine for
a reasonable number of instances, but in this extreme case, it did not
perform well.
This PR modifies the logic; instead of performing outright joins, we are
now grouping features by environment into an array, resulting in just
one row returned per instance.
I tested locally with the same dataset. Previously, loading this large
instance took about 21 seconds; now it has reduced to 2 seconds.
Although this is still significant, the dataset is extensive.
Previously, we were not validating that the ID was a number, which
sometimes resulted in returning our database queries (source code) to
the frontend. Now, we have validation middleware.
Previously, we were extracting the project from the token, but now we
will retrieve it from the session, which contains the full list of
projects.
This change also resolves an issue we encountered when the token was a
multi-project token, formatted as []:dev:token. Previously, it was
unable to display the exact list of projects. Now, it will show the
exact project names.
<details>
<summary>Feature Flag Cleanup</summary>
| Stale Flag | Value |
| ---------- | ------- |
| stripClientHeadersOn304 | true |
</details>
<details>
<summary>Trigger</summary>
https://github.com/Unleash/unleash/issues/6559#issuecomment-2058848984
</details>
<details>
<summary>Bot Commands</summary>
`@gitar-bot cleanup stale_flag=value` will cleanup a stale feature flag.
Replace `stale_flag` with the name of the stale feature flag and `value`
with either `true` or `false`.
</details>
---------
Co-authored-by: Gitar Bot <noreply@gitar.co>
## About the changes
- Removes the feature flag for the created_by migrations.
- Adds a configuration option in IServerOption for
`ENABLE_SCHEDULED_CREATED_BY_MIGRATION` that defaults to `false`
- the new configuration option when set on startup enables scheduling of
the two created_by migration services (features+events)
- Removes the dependency on flag provider in EventStore as it's no
longer needed
- Adds a brief description of the new configuration option in
`configuring-unleash.md`
- Sets the events created_by migration interval to 15 minutes, up from
2.
---------
Co-authored-by: Gastón Fournier <gaston@getunleash.io>
## About the changes
This PR provides a service that allows a scheduled function to run in a
single instance. It's currently not in use but tests show how to wrap a
function to make it single-instance:
65b7080e05/src/lib/features/scheduler/job-service.test.ts (L26-L32)
The key `'test'` is used to identify the group and most likely should
have the same name as the scheduled job.
---------
Co-authored-by: Christopher Kolstad <chriswk@getunleash.io>
This PR adds a counter in Prometheus for counting the number of
"environment disabled" events we get per project. The purpose of this is
to establish a baseline for one of the "project management UI" project's
key results.
## On gauges vs counters
This PR uses a counter. Using a gauge would give you the total number of
envs disabled, not the number of disable events. The difference is
subtle, but important.
For projects that were created before the new feature, the gauge might
be appropriate. Because each disabled env would require at least one
disabled event, we can get a floor of how many events were triggered for
each project.
However, for projects created after we introduce the planned change,
we're not interested in the total envs anymore, because you can disable
a hundred envs on creation with a single action. In this case, a gauge
showing 100 disabled envs would be misleading, because it didn't take
100 events to disable them.
So the interesting metric here is how many times did you specifically
disable an environment in project settings, hence the counter.
## Assumptions and future plans
To make this easier on ourselves, we make the follow assumption: people
primarily disable envs **when creating a project**.
This means that there might be a few lagging indicators granting some
projects a smaller number of events than expected, but we may be able to
filter those out.
Further, if we had a metric for each project and its creation date, we
could correlate that with the metrics to answer the question "how many
envs do people disable in the first week? Two weeks? A month?". Or
worded differently: after creating a project, how long does it take for
people to configure environments?
Similarly, if we gather that data, it will also make filtering out the
number of events for projects created **after** the new changes have
been released much easier.
The good news: Because the project creation metric with dates is a
static aggregate, it can be applied at any time, even retroactively, to
see the effects.
This PR expands upon #6773 by returning the list of removed properties
in the API response. To achieve this, I added a new top-level `warnings`
key to the API response and added an `invalidContextProperties` property
under it. This is a list with the keys that were removed.
## Discussion points
**Should we return the type of each removed key's value?** We could
expand upon this by also returning the type that was considered invalid
for the property, e.g. `invalidProp: 'object'`. This would give us more
information that we could display to the user. However, I'm not sure
it's useful? We already return the input as-is, so you can always
cross-check. And the only type we allow for non-`properties` top-level
properties is `string`. Does it give any useful info? I think if we want
to display this in the UI, we might be better off cross-referencing with
the input?
**Can properties be invalid for any other reason?** As far as I can
tell, that's the only reason properties can be invalid for the context.
OpenAPI will prevent you from using a type other than string for the
context fields we have defined and does not let you add non-string
properties to the `properties` object. So all we have to deal with are
top-level properties. And as long as they are strings, then they should
be valid.
**Should we instead infer the diff when creating the model?** In this
first approach, I've amended the `clean-context` function to also return
the list of context fields it has removed. The downside to this approach
is that we need to thread it through a few more hoops. Another approach
would be to compare the input context with the context used to evaluate
one of the features when we create the view model and derive the missing
keys from that. This would probably work in 98 percent of cases.
However, if your result contains no flags, then we can't calculate the
diff. But maybe that's alright? It would likely be fewer lines of code
(but might require additional testing), although picking an environment
from feels hacky.
Don't include invalid context properties in the contexts that we
evaluate.
This PR removes any non-`properties` fields that have a non-string
value.
This prevents the front end from crashing when trying to render an
object.
Expect follow-up PRs to include more warnings/diagnostics we can show to
the end user to inform them of what fields have been removed and why.
