# Introduction
close https://github.com/twentyhq/core-team-issues/issues/487
Updated the seeders to infer the workspace's version from the
`APP_VERSION` env var
To test in local run: `npx nx database:reset twenty-server` with either
a defined or not defined `APP_VERSION` in your `.env`
( note that invalid semver values will throw an error and stop the
process ) ( valid version ex: `APP_VERSION=1.0.0`)
# Introduction
This PR contains a big test file and few snapshots
Related to https://github.com/twentyhq/core-team-issues/issues/487
## New env var `APP_VERSION`
Now will be injected directly in a built docker image the twenty's built
version. Inferred from the build git tag name.
Which mean on main or other `not a tag version` built APP_VERSION will
be `null`
## New upgrade-commander-runner
Refactored the upgrade command to be more strict regarding:
- Version management
- Sync metadata command always run
- Added failing workspaces aggregator + logs on cleanup
From now on the `upgrade` command will compare the `WORKSPACE_VERSION`
to the `APP_VERSION` in order to bypass any workspace version != than
the upgrade version `fromVersion`
## Existing commands
Note that the version validation will be done only when passing by the
`upgrade` command.
Which means that running the following command
`upgrade:x.y-some-specific-command` won't result in workspace version
mutation
This is to enforce that all an upgrade commands + sync-metadata has been
run on a workspace
## Will do in other PR but related
### New workspace
New workspace will now be inserted with version equal to the APP_VERSION
they've been created by
### Old workspace
Will create a command that should be ran outside of any `upgrade-runner`
extending command, the command will have to be ran on every workspace
before making the next release upgrade
This command iterates over any active and suspended workspace that has
`version` to `NULL` in order to update it `APP_VERSION` -1 minor
### SENTRY_RELEASE
- Either deprecate SENTRY_RELEASE in favor of `APP_VERSION` => What
about main with null version ? or create a new env var that would be
`APP_COMMIT_SHA` instead of SENTRY third party ref
### Update CD to inject APP_VERSION from branch name
### Update docs and release logs
Adding documentation for `APP_VERSION`
## Related PRs:
https://github.com/twentyhq/twenty-infra/pull/181
Simplifying a lot the upgrade system.
New way to upgrade:
`yarn command:prod upgrade`
New way to write upgrade commands (all wrapping is done for you)
```
override async runOnWorkspace({
index,
total,
workspaceId,
options,
}: RunOnWorkspaceArgs): Promise<void> {}
```
Also cleaning CommandModule imports to make it lighter
We have a few issues on demo seeding:
- redis metdata cache was not flushed
- server ram graphql schema cache was not cleared on metadata version
increment
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
### 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>
## 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>
