## Context
Following https://github.com/twentyhq/twenty/pull/16399
Now using the new global orm manager everywhere and returning a
GlobalDatasource/WorkspaceDatasource based on a feature flag.
This means we now need to wrap all our ORM calls within
executeInWorkspaceContext callback (at least for now) so the global
datasource can dynamically hydrate its context via the new store (the
global datasource does not store anything related to workspaces as it is
now a unique singleton). If feature flag is off it still uses local data
stored in the workspace datasource.
## Context
Deprecating legacy ObjectMetadata from cache in favor of flat entities.
Introducing utils to build byName/byNameSingular/byNamePlural in
isolated cases
## Next
- I had to introduce a util to build from flat to legacy
objectMetadataMaps, we should instead use flat maps directly when needed
(datasource, schema generation, etc)
- Deprecate metadata version in the cache
- Use the new cache strategy for flat entities with permissions and
feature flags and inject in the global datasource context
## Context
Views and some other objects "leak" in the core API, this should be
fixed but in the meantime they fail if they use dataloaders because it's
not provided in the core config
```
[
TypeError: Cannot read properties of undefined (reading 'objectMetadataLoader')
]
```
in view.resolver using dataloaders to compute the name field
How to test: query views from /graphql instead of /metadata
Note: we could have a dedicated dataloader service for each gql server in the future
## Context
Added to the existing useGraphQLErrorHandlerHook yoga hook to increment
metrics after all query executions based on their error codes. I
originally wanted to create a new useMetrics hook but most of the error
handling was done in useGraphQLErrorHandlerHook so we decided to keep it
there for now.
<img width="1310" alt="Screenshot 2025-06-24 at 15 58 26"
src="https://github.com/user-attachments/assets/498d3754-851a-4051-a5c2-23ac8253aa6a"
/>
No need to audit log workflow runs as it's already a form of audit log.
Add more audit log for other objects
Rename MessagingTelemetry to MessagingMonitoring
Merge Analytics and Audit in one (Audit)
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
# This PR
- Addressing #3644
- Migrates the `findOne` and the `findMany` Rest API to use TwentyORM
directly
- Adds integration tests to the migrated methods
---------
Co-authored-by: prastoin <paul@twenty.com>
Co-authored-by: martmull <martmull@hotmail.fr>
# This PR
- Addressing #3644
- Migrates the `DELETE /rest/*` endpoint to use TwentyORM
- Factorizes common middleware logic into a common module
---------
Co-authored-by: martmull <martmull@hotmail.fr>
- Improve snackbar to enable displaying multi-line message (so far we
only displayed the first few words which was very frustrating)
- Followup on previous issue to enable tim@apple.dev on the demo
workspace (prefilled automatically)
- Fix sentry tracing which had been broken when migrating from v7 to v8
### Summary
This PR introduces several integration tests, a mix of manually written
tests and those generated using the `generate-integration-tests` Python
script located in the `scripts` folder.
### Tests Added:
- **Authentication tests**: Validating login, registration, and token
handling.
- **FindMany queries**: Fetching multiple records for all existing
entities that do not require input arguments.
### How the Integration Tests Work:
- A `setupTest` function is called during the Jest test run. This
function initializes a test instance of the application and exposes it
on a dedicated port.
- Since tests are executed in isolated workers, they do not have direct
access to the in-memory app instance. Instead, the tests query the
application through the exposed port.
- A static accessToken is used, this one as a big expiration time so it
will never expire (365 years)
- The queries are executed, and the results are validated against
expected outcomes.
### Current State and Next Steps:
- These tests currently run using the existing development seed data. We
plan to introduce more comprehensive test data using `faker` to improve
coverage.
- At the moment, the only mutation tests implemented are for
authentication. Future updates should include broader mutation testing
for other entities.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
This PR introduces the following changes:
- add the metadataVersion to all our metadata cache keys to ease
troubleshooting:
<img width="1146" alt="image"
src="https://github.com/user-attachments/assets/8427805b-e07f-465e-9e69-1403652c8b12">
- introduce a cache recompute lock to avoid overloading the database to
recompute the cache many time
## Context
The goal is to replace pg_graphql with our own ORM wrapper (TwentyORM).
This PR tries to add some parsing logic to convert graphql requests to
send to the ORM to replace pg_graphql implementation.
---------
Co-authored-by: Charles Bochet <charles@twenty.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).
### Overview
This PR introduces significant enhancements to the MessageQueue module
by integrating `@Processor`, `@Process`, and `@InjectMessageQueue`
decorators. These changes streamline the process of defining and
managing queue processors and job handlers, and also allow for
request-scoped handlers, improving compatibility with services that rely
on scoped providers like TwentyORM repositories.
### Key Features
1. **Decorator-based Job Handling**: Use `@Processor` and `@Process`
decorators to define job handlers declaratively.
2. **Request Scope Support**: Job handlers can be scoped per request,
enhancing integration with request-scoped services.
### Usage
#### Defining Processors and Job Handlers
The `@Processor` decorator is used to define a class that processes jobs
for a specific queue. The `@Process` decorator is applied to methods
within this class to define specific job handlers.
##### Example 1: Specific Job Handlers
```typescript
import { Processor, Process, InjectMessageQueue } from 'src/engine/integrations/message-queue';
@Processor('taskQueue')
export class TaskProcessor {
@Process('taskA')
async handleTaskA(job: { id: string, data: any }) {
console.log(`Handling task A with data:`, job.data);
// Logic for task A
}
@Process('taskB')
async handleTaskB(job: { id: string, data: any }) {
console.log(`Handling task B with data:`, job.data);
// Logic for task B
}
}
```
In the example above, `TaskProcessor` is responsible for processing jobs
in the `taskQueue`. The `handleTaskA` method will only be called for
jobs with the name `taskA`, while `handleTaskB` will be called for
`taskB` jobs.
##### Example 2: General Job Handler
```typescript
import { Processor, Process, InjectMessageQueue } from 'src/engine/integrations/message-queue';
@Processor('generalQueue')
export class GeneralProcessor {
@Process()
async handleAnyJob(job: { id: string, name: string, data: any }) {
console.log(`Handling job ${job.name} with data:`, job.data);
// Logic for any job
}
}
```
In this example, `GeneralProcessor` handles all jobs in the
`generalQueue`, regardless of the job name. The `handleAnyJob` method
will be invoked for every job added to the `generalQueue`.
#### Adding Jobs to a Queue
You can use the `@InjectMessageQueue` decorator to inject a queue into a
service and add jobs to it.
##### Example:
```typescript
import { Injectable } from '@nestjs/common';
import { InjectMessageQueue, MessageQueue } from 'src/engine/integrations/message-queue';
@Injectable()
export class TaskService {
constructor(
@InjectMessageQueue('taskQueue') private readonly taskQueue: MessageQueue,
) {}
async addTaskA(data: any) {
await this.taskQueue.add('taskA', data);
}
async addTaskB(data: any) {
await this.taskQueue.add('taskB', data);
}
}
```
In this example, `TaskService` adds jobs to the `taskQueue`. The
`addTaskA` and `addTaskB` methods add jobs named `taskA` and `taskB`,
respectively, to the queue.
#### Using Scoped Job Handlers
To utilize request-scoped job handlers, specify the scope in the
`@Processor` decorator. This is particularly useful for services that
use scoped repositories like those in TwentyORM.
##### Example:
```typescript
import { Processor, Process, InjectMessageQueue, Scope } from 'src/engine/integrations/message-queue';
@Processor({ name: 'scopedQueue', scope: Scope.REQUEST })
export class ScopedTaskProcessor {
@Process('scopedTask')
async handleScopedTask(job: { id: string, data: any }) {
console.log(`Handling scoped task with data:`, job.data);
// Logic for scoped task, which might use request-scoped services
}
}
```
Here, the `ScopedTaskProcessor` is associated with `scopedQueue` and
operates with request scope. This setup is essential when the job
handler relies on services that need to be instantiated per request,
such as scoped repositories.
### Migration Notes
- **Decorators**: Refactor job handlers to use `@Processor` and
`@Process` decorators.
- **Request Scope**: Utilize the scope option in `@Processor` if your
job handlers depend on request-scoped services.
Fix#5628
---------
Co-authored-by: Weiko <corentin@twenty.com>
This PR is updating all object metadata entities with the new
decorators, and deleting the old ones.
This way we can use the new TwentyORM with all the standard objects.
---------
Co-authored-by: Weiko <corentin@twenty.com>
While using middleware (executed pre-graphql) for graphql endpoint, we
need to swallow exception and return errors with a 200. Otherwise it's
not a valid graphql response
This PR is dropping the column `targetColumnMap` of fieldMetadata
entities.
The goal of this column was to properly map field to their respecting
column in the table.
We decide to drop it and instead compute the column name on the fly when
we need it, as it's more easier to support.
Some parts of the code has been refactored to try making implementation
of composite type more easier to understand and maintain.
Fix#3760
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
* feat: wip refactor default-value
* feat: health check to migrate default value
* fix: tests
* fix: refactor defaultValue to make it more clean
* fix: unit tests
* fix: front-end default value
* Add rate limiting in the server using built in Nest.js capability
* Generatekey based on ip address when an http request is sent
* Update env var types to number for ttl and limit
* Remove unused env variables
* Use getRequest utility function
* fix: remove dist from path
* fix: adding .env variables
* fix: remove unused functions
* feat: throttler plugin
* Fix according to review
---------
Co-authored-by: Jérémy Magrin <jeremy.magrin@gmail.com>
Co-authored-by: Charles Bochet <charles@twenty.com>
