In this PR:
- add query hashKey to ObjectMetadataItems query graphql cache to avoid
caching outdated queries
- improve performance by removing ResolveField at FieldLevel and adding
this at resolver level
# Introduction
Added a no-explicit-any rule to the twenty-server, not applicable to
tests and integration tests folder
Related to https://github.com/twentyhq/core-team-issues/issues/975
Discussed with Charles
## In case of conflicts
Until this is approved I won't rebased and handle conflict, just need to
drop two latest commits and re run the scripts etc
## Legacy
We decided not to handle the existing lint error occurrences and
programmatically ignored them through a disable next line rule comment
## Open question
We might wanna activate the
[no-explicit-any](https://typescript-eslint.io/rules/no-explicit-any/)
`ignoreRestArgs` for our use case ?
```
ignoreRestArgs?: boolean;
```
---------
Co-authored-by: etiennejouan <jouan.etienne@gmail.com>
## Context
As we grow, the messaging scripts are experiencing performance issues
forcing us to temporarily disable them on the cloud.
While investigating the performance, I have noticed that generating the
entity schema (for twentyORM) in the repository is taking ~500ms locally
on my Mac M2 so likely more on pods. Caching the entitySchema then!
I'm also clarifying naming around schemaVersion and cacheVersions ==>
both are renamed workspaceMetadataVersion and migrated to the workspace
table (the workspaceCacheVersion table is dropped).
## Context
We've created a yoga (gql server) hook that catches requests and cache
them when needed. In practice we use it on the "objects" query because
this is often queried on the FE and it should never return something
different unless the schema has been intentionally changed by the user
when editing their data model (updating objects, fields, etc).
The issue here is we always cache the response regardless of its result,
even when it fails. This PR fixes that behaviour by only caching the
query response if it is successful.
I'm also fixing the cache key because the signature let users put
multiple operations and the cache key was not taking this into account
(we always use it on only one operation but we might have issues in the
future because another operation response could have erased the cached
response of another). Now the cache key contains the name of the
operation as well.
## Test
tested locally by manually throwing an error in the JWT auth guard
## Context
@lucasbordeau introduced a new Yoga plugin that allows us to cache our
requests (👏), see https://github.com/twentyhq/twenty/pull/5189
I'm simply updating the implementation to allow us to use different
cache storage types such as redis
Also adding a check so it does not use cache for other operations than
ObjectMetadataItems
## Test
locally, first call takes 340ms, 2nd takes 30ms with 'redis' and 13ms
with 'memory'
In this PR I'm introducing a simple custom graphql-yoga plugin to create
a caching mechanism specific to our metadata.
The cache key is made of : workspace id + workspace cache version, with
this the cache is automatically invalidated each time a change is made
on the workspace metadata.
