Added:
- An "Ask AI" command to the command menu.
- A simple GraphQL resolver that converts the user's question into a
relevant SQL query using an LLM, runs the query, and returns the result.
<img width="428" alt="Screenshot 2024-06-09 at 20 53 09"
src="https://github.com/twentyhq/twenty/assets/171685816/57127f37-d4a6-498d-b253-733ffa0d209f">
No security concerns have been addressed, this is only a
proof-of-concept and not intended to be enabled in production.
All changes are behind a feature flag called `IS_ASK_AI_ENABLED`.
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.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 introducing a new patch on @graphql-yoga/nestjs package.
This patch overrides a previous patch that was made to compute the
conditionnal schema on each request,
Here we use a cache map to compute only once per schema workspace cache
version.
This allows us to have sub 100ms query time.
Split from https://github.com/twentyhq/twenty/pull/4518
- Setup `@ui/*` as an internal alias to reference `twenty-ui/src`.
- Configures twenty-front to understand the `@ui/*` alias on development
mode, so twenty-ui can be hot reloaded.
- When building on production mode, twenty-front needs twenty-ui to be
built beforehand (which is automatic with the `dependsOn` option).
- Configures twenty-front to understand the `@ui/*` alias when launching
tests, so there is no need to re-build twenty-ui for tests.
---------
Co-authored-by: Lucas Bordeau <bordeau.lucas@gmail.com>
We were missing `JsDom` dependencies in the package.json generated by nx
while running `twenty-server`: `yarn nx build:packageJson`
Detailed explanation:
- we are currently using nx paradigm which is to put dependencies of all
projets at root, which enables global package migrations for the whole
monorepo
- for production containers, we only want specific project dependency to
be added. This is done by running `yarn nx build:packageJson` on
`twenty-server`. Nx is statically analyzing twenty-server dependencies
and generating a tailored package.json that production containers can
later use.
- However, `nx` static analysis is not flawless and is missing some
packages. We are going to stop using it as the value is not there yet
but the burden for developers is high. The guideline is to put back
project dependencies into specific package `package.json`
- Therefore, I'm adding `jsdom` to twenty-server `package.json`
Split from https://github.com/twentyhq/twenty/pull/4518
- Upgrades dependencies and applies automatic config migrations with the
command: `npx nx migrate nx` (see
https://nx.dev/nx-api/nx/documents/migrate)
- Fixes lint errors after upgrading `@typescript-eslint`
Note: it was not possible (for now) to migrate Nx to the latest stable
version (v18.2.1) because it upgrades Typescript to v5.4.3, which seems
to cause a bug on install when Yarn tries to apply its native patches.
Might be a bug on the Yarn side.
* add lodash differenceWith
* add awaits
* update sync cursor is working
* add logs
* use isSyncEnabled information to enqueue jobs
* add decorator InjectObjectMetadataRepository
* fix gmail-full-sync
* feat: merge front and server dockerfiles and optimize build
* fix: update image label
* fix: bring back support for REACT_APP_SERVER_BASE_URL injection at runtime
* fix: remove old entries & add nx cache in dockerignore
* feat: generate frontend config at runtime using Nest
* fix: format and filename
* feat: use the EnvironmentService and leave default blank
* feat: add support for DB migrations
* 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>
* feat: wip add user to sentry
* feat: wip interceptor
* feat: wip add user to sentry
* feat: add user into sentry errors
* fix: hide stack trace in production
* fix: properly log commands and handle exceptions
* fix: filter command exceptions
* feat: handle jobs errors
