Implements a new syncable `navigationMenuItem` entity in the core schema
to replace the workspace `favorite` entity.
## Next Steps
- Frontend integration ([separate
PR](https://github.com/twentyhq/twenty/pull/17268))
- Data migration (separate PR)
# Introduction
In this PR we're migrating the serverless function service that was
using the SF repo directly to the v2 build and runner.
The whole serverless engine now deals with flat entities only
## Resolvers
Refactored the resolvers ( serverlessFunction, route, database and cron
trigger) :
- return types to `dto`
- Standardized the flat to dto transpilation within the resolvers
- Find and findMany passing by the cached data
## Services
Refactored the services ( serverlessFunction, route, database and cron
trigger) :
- return type to be `flat`
- always calling v2 and computing cache
## New additional caches
- application variables ( cf
https://github.com/twentyhq/core-team-issues/issues/2116 )
- serverless function layer
## What to test:
- CRUD ( database trigger ✅ , route trigger, cron trigger, serverless
function through workflows ✅ )
- Duplicating a workflow with a serverless function code node ✅
## Concerns
We need to implement the cron that will hard delete soft deleted s3
serverless functions, not in this PR though ( cf
https://github.com/twentyhq/twenty/pull/17285#discussion_r2709168570 and
https://github.com/twentyhq/core-team-issues/issues/2118 )
## Context
Due to RLS feature, workspaceMember entity and its properties is
becoming necessary in different places of the backend. To avoid querying
many times, this PR adds a map of workspace members per workspaceId,
leveraging WorkspaceCache pattern for WorkspaceEntity (in opposition
with CoreEntity)
Due to its content (mostly PII), I prefer to cache it locally only (node
process VS Redis) using localDataOnly.
TODO: invalidation logic when the workspaceMember object is updated
(more precisely, when its field map is updated). There is no easy way
today to update that list so it can be done in another PR imho
As part of the extensibility effort, we are introducing a new engine
entity called "Front Component". This represents a dynamic react
component that will be rendered in CommandMenu actions or in PageLayout
widgets
This PR introduce the entity and all the necessary boilerplate to make
it syncable and cachable in the engine
## Summary
This PR introduces a Skills system for AI agents, inspired by the [Agent
Skills specification](https://agentskills.io/specification).
## Changes
### Backend
- **SkillEntity**: New database entity with migration for storing skills
- **V2 Sync Mechanism**: Implemented FlatSkill, builders, validators,
and action handlers following the v2 flat entity pattern
- **Standard Skills**: Pre-defined skills (workflow-building,
data-manipulation, dashboard-building, metadata-building, research,
code-interpreter, xlsx, pdf, docx, pptx)
- **GraphQL API**: CRUD operations for skills with proper guards and
permissions
- **Workspace Cache**: Integrated skills into the workspace cache system
### Frontend
- **Skills Table**: Searchable table in AI settings showing all skills
- **Skill Form**: Create/edit page with Label (primary), Description,
and Content (markdown editor)
- **API Name**: Following existing patterns, name is derived from label
with advanced settings toggle for custom API names
- **Standard vs Custom**: Standard skills are read-only, custom skills
can be edited/deleted
## Key Design Decisions
- Skills are stored in the database (Salesforce-like approach) rather
than files
- Name is derived from Label by default (isLabelSyncedWithName pattern)
- Skills reference functions/files via @ mentions in markdown content
rather than explicit relations
- Standard skills are synced from code, custom skills are created via UI
## Screenshots
Skills table and form UI follow existing settings patterns.
## Testing
- [x] Lint passes
- [x] Typecheck passes
- [ ] CI tests
## Introduction
On the side hanlded PR with a // agents on another repo
Made several iterations to fix behavior and direction
Find below auto-generated PR description
closes https://github.com/twentyhq/core-team-issues/issues/2037
Created generic tooling for entity circular dep checking, will be useful
for permissions validation too @Weiko
## Migrate `viewFilterGroup` entity to v2 flat architecture
### Summary
Migrates the `viewFilterGroup` entity from v1 to the v2 flat entity
architecture, following the established patterns for other v2 entities
like `viewFilter`, `view`, and `viewField`.
### Changes
**Types & Constants**
- Added `FlatViewFilterGroup` and `FlatViewFilterGroupMaps` types
- Added editable properties constant for `viewFilterGroup`
- Registered `viewFilterGroup` in `ALL_METADATA_NAME`,
`ALL_METADATA_RELATION_PROPERTIES`,
`ALL_METADATA_MANY_TO_ONE_RELATIONS`, and related constants
**Cache Service**
- Created `WorkspaceFlatViewFilterGroupMapCacheService` with proper
relation loading for `viewFilters` and `childViewFilterGroups`
- Updated `WorkspaceFlatViewMapCacheService` to load `viewFilterGroups`
relation
**Builder & Validator**
- Created `WorkspaceMigrationV2ViewFilterGroupActionsBuilderService`
- Created `FlatViewFilterGroupValidatorService` with creation, update,
and deletion validation
- Integrated validation into the orchestrator service (runs before
`viewFilter` validation)
**Action Handlers**
- Created create, update, and delete action handlers for
`viewFilterGroup`
**Service Migration**
- Rewrote `ViewFilterGroupService` to use v2 migration pattern with
`WorkspaceMigrationValidateBuildAndRunService`
- Created utility functions for transforming DTOs to flat entities
**Database Migration**
- Added migration to make `parentViewFilterGroupId` foreign key
deferrable (handles self-referential parent/child insertions)
**ViewFilter Integration**
- Added `viewFilterGroupId` validation in
`FlatViewFilterValidatorService`
- Updated `viewFilter` many-to-one relations to include
`viewFilterGroup`
**Tests**
- Added integration tests for successful creation, update, deletion, and
destruction
- Added failing test cases for non-existent entities and invalid
references
- Added failing test for `viewFilter` creation with non-existent
`viewFilterGroupId`
### Breaking Changes
None - existing API contracts are preserved.
## Context
This PR adds the core structure for RLS implementation:
- RLS data model
- RLS service layer
- RLS WorkspaceMigration and Syncable Entity + cache + Validations
- RLS resolver layer
- ORM layer with RLS Predicate to ORM WHERE clause conversion with
workspaceMember record transposition
Tests are missing though
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Establishes core row-level permissions infrastructure and enforcement
across the stack.
>
> - Backend: new `rowLevelPermissionPredicate` and
`rowLevelPermissionPredicateGroup` entities, TypeORM migration, feature
flag `IS_ROW_LEVEL_PERMISSION_PREDICATES_ENABLED`, flat-entity
maps/cache wiring, services and GraphQL resolvers for CRUD, and
inclusion of `workspaceMember` in auth context
> - ORM: applies row-level permission predicates to SELECT, DELETE, and
SOFT DELETE query builders; propagates context through
GlobalWorkspaceOrmManager/EntityManager
> - GraphQL: generated schema/types/queries/mutations for
creating/updating/deleting/fetching predicates and groups
> - Frontend: settings page adds a gated "Record-level" section
(placeholder) and metadata error handler labels for new entities
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
fe955cc458. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Two challenges with error messages
- always provide a useful/meaningful error message for the end user
instead of the generic one. eg: show "Wrong password" and not "An error
occured"
- avoid technical details unless error regards a technical feature. eg:
show "An error occured" and not "Invalid post-hook payload."; but do
show "Invalid issuer URL." as it occurs while configuring SSO
What this PR does
- Make userFriendlyMessage mandatory for widely used
GraphqlQueryRunnerException and CommonQueryRunnerException, so that
developers are forced to ask themselves what the error message should
be, and as it contains very wide error codes (eg: "Bad request") which
should not be mapped to just one default message
- Keep userFriendlyMessage optional for service-specific exceptions (eg:
workflowStepExecutorException), but convert the error code to
userFriendlyMessage mapper to a switch case function with a typecheck
ensuring that all codes are mapped to a message. These default messages
are still overridable where they are thrown.
# Introduction
@bosiraphael has to introduce async validators and feature flag
contextual validator
In this way in this PR we make all entity validators asyncable
Also added an `additionalCacheDataMaps` to the low level args validators
## Summary
This PR enforces that all custom exceptions must provide a
`userFriendlyMessage`, ensuring end users always see readable error
messages.
## Changes
### Core Changes
- **`CustomException` simplified**: Removed the `ForceFriendlyMessage`
generic parameter - `userFriendlyMessage` is now always required
- **Type safety**: The constructor now requires `{ userFriendlyMessage:
MessageDescriptor }` (no longer optional)
### Updated Files
- **74+ exception classes** updated to provide default user-friendly
messages using Lingui `msg` macro
- Each exception class has a sensible fallback message (e.g., `msg\`An
authentication error occurred.\``)
- Exception classes that had code-specific message maps retain their
behavior
## Benefits
- **Compile-time enforcement**: Forgetting to add a user-friendly
message now causes a TypeScript error
- **Better UX**: End users always see a localized, human-readable error
message
- **Simpler API**: No more boolean generic parameter to think about
## Testing
- `npx nx run twenty-server:typecheck` passes
- `npx nx run twenty-server:lint` passes
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Enforces `userFriendlyMessage` on `CustomException` and updates all
exception classes to supply localized default messages, with
filters/tests adjusted accordingly.
>
> - **Core**:
> - Enforce required `userFriendlyMessage` in `CustomException` (remove
optional generic; constructor now requires `{ userFriendlyMessage:
MessageDescriptor }`).
> - **Exceptions**:
> - Update ~70+ exception classes to set default localized messages via
Lingui `msg` maps and pass them in constructors (e.g., `AuthException`,
`ObjectMetadataException`, `FieldMetadataException`, etc.).
> - Add fallback messages where needed (e.g., `INTERNAL_SERVER_ERROR` or
domain-specific defaults).
> - **HTTP/GraphQL Filters**:
> - Ensure fallbacks create `UnknownException` with `msg` for
user-friendly text in REST/GraphQL exception filters.
> - **Tests**:
> - Adjust unit tests to pass `userFriendlyMessage` to exceptions.
> - Update Jest snapshots to include `extensions.userFriendlyMessage` or
message objects where applicable.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
221004fdfc. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
# Introduction
Migrating `pageLayoutTab` to the v2 engine
- Types and constants
- Builder and validate
- Runner
Introduced a new `StrictSyncableEntity` that enforces that
`universalIdentifier` and `applicationId` are defined
As these entities are brand new we could enforce this rule already
This still requires a migration command to associate the existing
entities to custom workspace application instance and define
universalIdentifier
Handled retro-comp of the migration through a migration as upgrade
command fallback
---------
Co-authored-by: bosiraphael <raphael.bosi@gmail.com>
## Problem
buildEntityMetadatas in GlobalWorkspaceOrmManager is computationally
expensive and was running on every executeInWorkspaceContext call. This
method uses
TypeORM's EntitySchemaTransformer and EntityMetadataBuilder to build
metadata for all workspace entities (30-50+ objects with many fields
each).
The resulting EntityMetadata[] is not serialisable which means it cannot
be cached in Redis because they contain:
- Circular references
- Functions/methods
- References to the DataSource instance
## Solution
Extended the workspace cache system to support local-only caching, then
created a cache provider for entityMetadatas.
## Implementation details
Updated @WorkspaceCache decorator (workspace-cache.decorator.ts)
- Added localOnly?: boolean option to skip Redis storage for
non-serializable data
Created WorkspaceEntityMetadatasCacheService
- Computes entity metadatas from DB to avoid race condition, this is
acceptable
Simplified GlobalWorkspaceOrmManager
- Now fetches entityMetadatas from cache instead of rebuilding on every
call
Updated Workspace migration runner - the only entry point where metadata
can change
- Now invalidate the new 'entityMetadata' local cache when
shouldIncrementMetadataGraphqlSchemaVersion is true (== field/object
mutations)
# Introduction
Closes https://github.com/twentyhq/core-team-issues/issues/1980
In this PR we migrate the agent from v1 to v2.
## New FlatRoleTargetByAgentIdMaps
Derivated the `flatRoleTargetMaps` to be building a
`flatRoleTargetByAgentIdMaps` to ease retrieving a roleId to associate
to an agent
## Coverage
Added strong coverage on both failing and successful CRU agents
operations
---------
Co-authored-by: Weiko <corentin@twenty.com>
## Context
We've recently introduced a new workspace cache service which now acts
as a cache access and local storage for all workspace related data,
deprecating the individual specific services.
- Better performance through multiple caching/fetching strategies
- Consistent data access patterns across the codebase
- Reduced redis queries through MGET/MSET/PIPELINE with multiple cache
keys
## Context
Deprecating the old objectMetadataMap type in favour of split flat
entities to match with our new caching.
In the long run, trying to achieve:
- Better performance through caching
- Consistent data access patterns across the codebase
- Reduced database queries
Now that everything is based on flat entities, which are cached, we can
finish the refactoring of workspace context cache which should already
improve performances.
Then the last step will be to consume that new cache in the new global
datasource to get rid of the many workspace datasources stored in the
server
## Context
Implementing a single service managing all the cache scoped to a
workspace, this will be dynamically injected as a WorkspaceContext in
the app during a request lifetime (ingested by the future global
datasource for example).
Usage:
```typescript
this.globalWorkspaceOrmManager.executeInWorkspaceContext(
authContext,
async () => {
// Everything here will have access to a workspaceContext, containing all the cache data + a ready to use datasource with workspace scoped metadata, permissions, feature flags, etc...
// Internally will call loadWorkspaceContext
}
```
Note: executeInWorkspaceContext will probably be owned by a higher level
service later and not only the ORM.
```typescript
private async loadWorkspaceContext(
authContext: WorkspaceAuthContext,
): Promise<WorkspaceContext> {
const workspaceId = authContext.workspace.id;
const cache =
await this.workspaceContextCacheService.get<WorkspaceContextData>(
workspaceId,
[
'objectMetadataMaps',
'metadataVersion',
'featureFlagsMap',
'permissionsPerRoleId',
],
);
return {
authContext,
objectMetadataMaps: cache.objectMetadataMaps,
metadataVersion: cache.metadataVersion,
featureFlagsMap: cache.featureFlagsMap,
permissionsPerRoleId: cache.permissionsPerRoleId,
};
}
```
The cache retrieval strategy is as followed:
```
- Check if there is an ongoing promise fetching data from the cache =>
return the promise.
- Check in the local cache entry if lastCheckedAt has expired. If not,
return as it is without querying redis.
- Check in redis the cache entry hash and compare with local cache entry
hash, if they are the same return the local cache entry data
- Check in redis the cache entry data, if it's there return it and store
it into the local cache entry data and update local cache entry hash. If
it's not there recompute the data by querying the DB and update both
redis and local cache
```
