This PR refactors the ORM-Manager to simplify and unify the datasource
creation. I'm deprecating all usages if InjectWorkspaceDatasource and
InjectWorkspaceRepository as we can't be sure they are up-to-date
In the longer term, we want to improve the efficiency and reliability of
the sync-metadata command, by choosing an error handling strategy and
paying greater attention to health checks.
In the meantime, this PR adds an option to run the sync-metadata command
on all active workspaces at once.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Add a new command to delete objectMetadataId fieldMetadata that have a
wrong standard-id. This is because we have fixed the missing
objectMetadataId column but one already exists in the fieldMetadataId
with the wrong table. We should run this command before run the
sync-metadata.
Introduced a new module and command to run all the command associated
with the upgrade to 0.22. Not exactly sure with this structure but
ideally we would like to have only 1 command for version upgrades so
this is a first step.
We have recently decided that boolean fields should only accept truthy
or falsy value, with users deciding of a default value at creation.
This command helps cleaning the existing data, by
1. updating all boolean fields default values from null to false
2. updating all boolean fields values for records from null to false
---------
Co-authored-by: Weiko <corentin@twenty.com>
### 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>
In this PR, I'm refactoring the messaging module into smaller pieces
that have **ONE** responsibility: import messages, clean messages,
handle message participant creation, instead of having ~30 modules (1
per service, jobs, cron, ...). This is mandatory to start introducing
drivers (gmails, office365, ...) IMO. It is too difficult to enforce
common interfaces as we have too many interfaces (30 modules...). All
modules should not be exposed
Right now, we have services that are almost functions:
do-that-and-this.service.ts / do-that-and-this.module.ts
I believe we should have something more organized at a high level and it
does not matter that much if we have a bit of code duplicates.
Note that the proposal is not fully implemented in the current PR that
has only focused on messaging folder (biggest part)
Here is the high level proposal:
- connected-account: token-refresher
- blocklist
- messaging: message-importer, message-cleaner, message-participants,
... (right now I'm keeping a big messaging-common but this will
disappear see below)
- calendar: calendar-importer, calendar-cleaner, ...
Consequences:
1) It's OK to re-implement several times some things. Example:
- error handling in connected-account, messaging, and calendar instead
of trying to unify. They are actually different error handling. The only
things that might be in common is the GmailError => CommonError parsing
and I'm not even sure it makes a lot of sense as these 3 apis might have
different format actually
- auto-creation. Calendar and Messaging could actually have different
rules
2) **We should not have circular dependencies:**
- I believe this was the reason why we had so many modules, to be able
to cherry pick the one we wanted to avoid circular deps. This is not the
right approach IMO, we need architect the whole messaging by defining
high level blocks that won't have circular dependencies by design. If we
encounter one, we should rethink and break the block in a way that makes
sense.
- ex: connected-account.resolver is not in the same module as
token-refresher. ==> connected-account.resolver => message-importer (as
we trigger full sync job when we connect an account) => token-refresher
(as we refresh token on message import).
connected-account.resolver and token-refresher both in connected-account
folder but should be in different modules. Otherwise it's a circular
dependency. It does not mean that we should create 1 module per service
as it was done before
In a nutshell: The code needs to be thought in term of reponsibilities
and in a way that enforce high level interfaces (and avoid circular
dependencies)
Bonus: As you can see, this code is also removing a lot of code because
of the removal of many .module.ts (also because I'm removing the sync
scripts v2 feature flag end removing old code)
Bonus: I have prefixed services name with Messaging to improve dev xp.
GmailErrorHandler could be different between MessagingGmailErrorHandler
and CalendarGmailErrorHandler for instance
Now that we have persistent cache for schemas, we want to be able to
reset its state when users run the database:reset db otherwise schemas
won't be synced with the new DB state.
Note: In an upcoming PR, we want to be able to invalidate the cache on a
workspace level when we change the metadata schema through twenty
version upgrade
## Context
We recently enabled the option to bypass SSL certificate authority
validation when establishing a connection to PostgreSQL. Previously, if
this validation failed, the server would revert to unencrypted traffic.
Now, it maintains encryption even if the SSL certificate check fails. In
the process, we overlooked a few DataSource setups, prompting a review
of DataSource creation within our code.
## Current State
Our DataSource initialization is distributed as follows:
- **Database folder**: Contains 'core', 'metadata', and 'raw'
DataSources. The 'core' and 'metadata' DataSources manage migrations and
static resolver calls to the database. The 'raw' DataSource is utilized
in scripts and commands that require handling both aspects.
- **typeorm.service.ts script**: These DataSources facilitate
multi-schema connections.
## Vision for Discussion
- **SystemSchema (formerly core) DataSource**: Manages system schema
migrations and system resolvers/repos. The 'core' schema will be renamed
to 'system' as the Core API will include parts of the system and
workspace schemas.
- **MetadataSchema DataSource**: Handles metadata schema migrations and
metadata API resolvers/repos.
- **(Dynamic) WorkspaceSchema DataSource**: Will be used in the Twenty
ORM to access a specific workspace schema.
We currently do not support cross-schema joins, so maintaining these
DataSources separately should be feasible. Core API resolvers will
select the appropriate DataSource based on the field context.
- **To be discussed**: The potential need for an AdminDataSource (akin
to 'Raw'), which would be used in commands, setup scripts, and the admin
panel to connect to any database schema without loading any model. This
DataSource should be reserved for cases where utilizing metadata,
system, or workspace entities is impractical.
## In This PR
- Ensuring all existing DataSources are compliant with the SSL update.
- Introducing RawDataSource to eliminate the need for declaring new
DataSource() instances in commands.
* Migrate command to cron
* Put back command using job as well
* Build service and module + move into folder
---------
Co-authored-by: Thomas Trompette <thomast@twenty.com>
* Fix CIs
* Fix docs
* Fix eslint-build
* Move file
* Move back
* Fix server ci
* Fix server ci
* Fix server ci
* Fix server ci
* Deactivate e2e tests
* Fix front
* Fix front
* Fix front
* Add twenty-zapier and twenty-utils to the yarn project
* fix
* fix
* Remove pull_request trigger
