# Introduction
In preparation of the workspace agnostic builder, we're migrating
`FlatEntityMaps` to be universal identifier oriented and based
As in the builder context there're won't be any ids at all
Please also note that the FlatEntity is a UniversalFlatEntity superset
From
```ts
import { type SyncableFlatEntity } from 'src/engine/metadata-modules/flat-entity/types/flat-entity-from.type';
export type FlatEntityMaps<T extends SyncableFlatEntity> = {
byId: Partial<Record<string, T>>;
idByUniversalIdentifier: Partial<Record<string, string>>;
universalIdentifiersByApplicationId: Partial<Record<string, string[]>>;
};
```
To
```ts
export type FlatEntityMaps<
T extends SyncableFlatEntity | UniversalSyncableFlatEntity,
> = {
byUniversalIdentifier: Partial<Record<string, T>>;
universalIdentifierById: Partial<Record<string, string>>;
universalIdentifiersByApplicationId: Partial<Record<string, string[]>>; // this might make more sense to be migrated to universalIdentifiersByApplicationUniversalIdentifier but it's the main topic of this PR
};
```
## Low level maps tools
Had to refactor find | create | delete | replace | find-many | get-sub
tools ( through mutations and or throw equivalent )
# Introduction
Following https://github.com/twentyhq/twenty/pull/17632 and
https://github.com/twentyhq/twenty/pull/17572
This PR deprecates the agent, skill, field metadata and role
`standardId` in favor of the `universalIdentifier` usage
## Note
- Removed previous standard ids declaration modules
- Twenty-sdk now re-exports the `STANDARD_OBJECTS` universalIdentifier
hashmap constant
- deleted some sync-metadata deadcode too ( mainly types )
# Introduction
In this PR we're deprecating the object metadata standard id and
replacing it to the universalIdentifier usage
As we've totally removed its insertion for both new field and object in
https://github.com/twentyhq/twenty/pull/17572
## Note
- Removed upgrade commands before `1.17`
# Introduction
In this PR we're migrating both the `field` and `object` metadata to be
using the new `FlatEntityFromV2` that requires all the
`UniversalFlatEntityExtraProperties` to be spread at the flat entity
root.
This means that we have to update all of their flat declaration
This type swap allows to isole a specific entity migration into his own
type scope and avoid to have everything handled at once
```ts
/**
* Currently under migration but aims to replace FlatEntity afterwards
*/
export type FlatEntityFromV2<
TEntity,
TMetadataName extends AllMetadataName | undefined = undefined,
TInnerFlatEntity extends { __universal?: unknown } = FlatEntityFrom<
TEntity,
TMetadataName
>,
> = Omit<TInnerFlatEntity, '__universal'> & TInnerFlatEntity['__universal'];
```
## Impact
Both object and field:
- Create input transpilation utils
- from entity to flat tools
- mocks
## Note
Removed from the universal extra properties the jsonb properties that do
not contain a serialized
## Next
Next step is to incrementally make the builder and runner expect
`UniversalFlatEntity` for both of these metadata
This way we will be able to fully migrate an entity e2e typesafely
## Context
The previous WorkspaceAuthContext was a single interface with many
optional fields, making it unclear which fields are available in
different authentication scenarios. This made the code harder to reason
about and required runtime checks scattered throughout the codebase.
## Changes
- Introduced a discriminated union type for WorkspaceAuthContext with
four specific variants:
-> UserWorkspaceAuthContext - for authenticated users
-> ApiKeyWorkspaceAuthContext - for API key authentication
-> ApplicationWorkspaceAuthContext - for application-based auth
-> SystemWorkspaceAuthContext - for system/internal operations
- Added type guard functions (isUserAuthContext, isApiKeyAuthContext,
etc.) for safe type narrowing
- Added builder utilities (buildUserAuthContext, buildApiKeyAuthContext,
etc.) to construct each context variant with proper type safety
- Refactored WorkspaceAuthContextMiddleware to use the new builders
instead of constructing a loosely-typed object
- Moved the type definition from twenty-orm/interfaces/ to
core-modules/auth/types/ for better organization
- Updated all consumers across query runners, tool providers, and
modules to use the new type location
## Notes
- I had to query User and WorkspaceMember in some parts of tool module
that were expecting userWorkspaceId but not the rest of
UserWorkspaceAuthContext (that should be required with the new proper
type otherwise it would break a lot of logic and mostly permissions with
the newly added RLS -> This is what we expect from
UserWorkspaceAuthContext and how it's done in the "normal" path in HTTP
middleware)
- WorkspaceMember is in the cache already but ideally we should move
User (And Workspace?) in the cache as well to avoid querying the DB
after each request (this is also valid for HTTP middleware when we
hydrate the Request object btw)
This PR adds what is required to handle soft-delete and restore SSE
events in virtualized table and board.
Restore is not handled in board for now as it requires respecting sorts
when inserting record ids.
Since virtualized table is refetching small chunks, we just refetch for
now.
The long term goal is to handle event handling without refetching in all
main components, and also handle SSE events that have the same origin
that the current tab. But for now we implement what is easily doable.
# QA
Delete between table and board (delete only) :
https://github.com/user-attachments/assets/715dd44a-007a-44ab-bf49-5ef039cd57c3
Delete and restore between table and table :
https://github.com/user-attachments/assets/f2122519-e969-491f-b71c-018d0f85bd86
This PR reverts the change that was made to turn `Date` objects into ISO
string, because right now there are too many places in the code that use
both, either Date or ISO string from an entity returned by the querying
layer.
Unifying everything with ISO string is clearly the long term goal, but
right now it is too difficult, we should first refactor each part to ISO
string, then at the end remove Date from the codebase.
This PR fixes a bug that arises in `formatResult` following up the
recent refactor for DATE_TIME :
https://github.com/twentyhq/twenty/pull/17407
In the case of workflows, we pass a plain object to `formatResult` :
```ts
{
before: null,
after: '2026-01-27T10:59:15.525Z'
}
```
So a case has been added to handle this.
@Weiko are we ok with this more restrictive else-if part in this util ?
We could also just put a `continue` for unknown shapes.
# Introduction
In this PR we're introducing mainly two branded type signatures for both
`JsonbProperty` entities properties and `SerializedRelation` (jsonb
serialized property storing another entity id).
Allowing to dynamically map over them later in order to build universal
`jsonb` `serialized` relations.
## `JsonbProperty`
A branded wrapper type that marks entity properties stored as PostgreSQL
JSONB columns. It adds a phantom brand `__JsonbPropertyBrand__` to
object types while leaving primitives unchanged. The branded key is
optional and typed as never, also omitted when transpiled to
`UniversalFlat`
**Should be used at entities lvl only:**
```typescript
@Column({ type: 'jsonb', nullable: false })
gridPosition: JsonbProperty<GridPosition>;
@Column({ nullable: false, type: 'jsonb', default: [] })
publishedVersions: JsonbProperty<string[]>;
```
## `SerializedRelation`
A branded string type that marks foreign key IDs stored inside JSONB
objects. These are entity references serialized within a JSONB column
rather than being a regular database foreign key.
**Usage in jsonb property generic***
```ts
type FieldMetadataRelationSettings = {
relationType: RelationType;
onDelete?: RelationOnDeleteAction;
joinColumnName?: string | null;
junctionTargetFieldId?: SerializedRelation;
};
```
## `FormatJsonbSerializedRelation<T>`
A transformation type that processes JSONB properties for universal
entity mapping. It:
1. Detects properties with the `JsonbProperty` brand
2. Finds `SerializedRelation` properties
3. Renames them from `*Id` to `*UniversalIdentifier`
4. Removes the brand from the output type ( optional though )
```typescript
// Input: JsonbProperty<{ targetFieldMetadataId: SerializedRelation }>
// Output: { targetFieldMetadataUniversalIdentifier: SerializedRelation }
```
## Result
An example of the dynamic type mapping, through a type-test example
```ts
type SettingsTestCase = UniversalFlatFieldMetadata<
| FieldMetadataType.RELATION
| FieldMetadataType.NUMBER
| FieldMetadataType.TEXT
>['settings']
type SettingsExpectedResult =
| {
relationType: RelationType;
onDelete?: RelationOnDeleteAction | undefined;
joinColumnName?: string | null | undefined;
junctionTargetFieldUniversalIdentifier?: SerializedRelation | undefined;
}
| {
dataType?: NumberDataType | undefined;
decimals?: number | undefined;
type?: FieldNumberVariant | undefined;
}
| {
displayedMaxRows?: number | undefined;
}
| null;
type Assertions = [
Expect<Equal<SettingsTestCase, SettingsExpectedResult>>,
]
```
## Remarks
- Removed duplicated twenty-server and twenty-shared typed
- Removed class validator instances for default value that were not used
at runtime, we will refactor that to add validation across all entities
following a same pattern
# Introduction
Currently refactoring `flatEntity` typing, encountering some tsc errors
due to this fk aggregator custom override
It shall now follow generic pattern leading to be named `fieldIds`
Needs to flush object cache when released
This PR modifies our broadly used `formatResult` util to counter act
TypeORM transforming any date time to a `Date` object.
Instead we return the ISO string for any `DATE_TIME`, this way we're not
transporting Date object from one function to another in the backend.
We do this because there was problems working with events utils that
take string date time in parameters and received Date objects.
As this is a recurring problem and because it's an opinionated choice
from TypeORM, we chose to switch to string only in our codebase, from
TypeORM's output to frontend.
This PR changes the shape and logic of SSE events `DELETE` and
`RESTORE`, because they behave like `UPDATE` events in practice, they
should share the same logic.
Before this PR, it was impossible for the frontend to obtain the
`deletedAt` value, and the logic to handle soft-delete and restore would
have been flawed.
Because there is a typing confusion in the parameters of
`formatTwentyOrmEventToDatabaseBatchEvent`, due to TypeORM, we also
update this util to only accept an array of records, instead of `T |
T[]`. We should improve our TypeORM layer in the future.
Also the naming was not clear, so we clearly use `recordsAfter` and
`recordsBefore` as much as possible, because that is what we have at the
end in events.
Events are sent from their respective query builders, so these last ones
have been updated also.
Because TypeORM `soft-remove` operation only returns record ids, we add
`.getMany()` to fetch all fields for soft-removed records, so that our
event can have before and after.
## Context
- Add RLS entitlement to billing
- Check value in the backend (for RLS predicate entity
queries/mutations)
- Expose billingEntitlements to the API inside currentWorkspace to check
available features to the workspace and display the role components
accordingly
- Cleanup RLS when plan changes back to one without RLS.
This should cover almost everything, imho we don't need to check in the
ORM because => We can't create RLS without the correct PLAN and
switching back to a PLAN without RLS deletes existing RLS through
stripes webhooks
## Context
buildValueFromFilter was not handling composite filters which was needed
for RLS. This PR implements that and fix some issues with RLS
Tested with a few composite + relation fields
<img width="559" height="206" alt="Screenshot 2026-01-19 at 15 38 42"
src="https://github.com/user-attachments/assets/d64afa6e-3e12-4843-a215-a693665112c5"
/>
This PR implements SSE update events across the main components of the
application : tables, boards, calendars, show pages.
There is still work to do on other event type and on making sure
everything works fine, but this first implementation should be robust
enough to start with.
Some problems encountered along the way :
- Events are returning raw Postgres output, because they are not
normalized by the GraphQL layer, so we ended up with amountMicros as
string values, which the frontend does not like, so I implemented a
small util in our `formatResult` generic pipeline to turn amountMicros
to a number if it's a string value. We could implement other formatters
for composite fields if we see problems with events.
-`action` property was missing in SSE events, which is required by the
frontend to know what kind of event it is.
# QA
https://github.com/user-attachments/assets/393b45ac-59d2-48b0-855b-2ce9c4b8ae57https://github.com/user-attachments/assets/cb214e7a-1595-4b85-bdb6-87630993d2e2
## Context
Now that RLS predicates are applied, creating a record through the FE
(which is empty by default) is failing if your role has predicates and
your input does not respect them (which will always be true since, as
said above, input will be pretty much empty)
## Implementation
- Moved isMatching* filters to twenty-shared
- Implemented isMatchingRlsPredicates utils in the backend (ORM) to
check before insertion/update if the record is matching the current user
role Rls predicates, reusing the isMatching* filters utils moved to
twenty-shared
- Frontend now applies RLS predicates before creating a new record
(similarly to what we do with view filters)
Note:
It seems composite were not properly handled with view-filter insertion
logic, since I'm reusing the util for now, the issue remains for RLS and
will need to be addressed
# Introduction
Followup https://github.com/twentyhq/twenty/pull/16981
1/ Migration, applicationId and universalIdentifier are required on
entity ( save point migration + upgrade command fallback pattern )
2/ Backfill using previous standard ids
## Summary
This PR introduces row-level security (RLS) permissions for roles in the
frontend, allowing fine-grained access control at the record level.
Users can now define permission rules that determine which specific
records a role can access based on dynamic conditions and filters.
## What's Changed
Implemented UI for configuring record-level permissions on object
permissions screens
Added support for defining permission predicates using filter conditions
(similar to advanced filters)
Introduced variable picker for dynamic permission rules (e.g., "me"
context for user-specific access)
Built predicate conversion layer to sync UI state with backend
permission structure
Extended GraphQL schema with mutations for upserting row-level
permission predicates
Fixed handling of orphaned RLS groups to prevent data inconsistencies
Added enterprise key validation for RLS features
The implementation enables scenarios like "users can only see their own
records" or "users can access records associated with their team."
<img width="687" height="702" alt="Screenshot 2026-01-09 at 23 07 02"
src="https://github.com/user-attachments/assets/33fe736e-6cbf-40bd-b2eb-c8a90c8d21bc"
/>
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
# Introduction
Followup of
https://github.com/twentyhq/twenty/pull/17001#pullrequestreview-3638508738
close https://github.com/twentyhq/core-team-issues/issues/1910
We've completely decom the `sync-metadata` in production. We're now then
removing its implementation in favor of the v2.
## TODO:
- [x] Remove sync-metadata implem and commands
- [x] Remove workspace decorators
- [x] Type each deprecated field to deprecated on their workspaceEntity
- [x] Remove the `workspace-sync-metadata` folder entirely
- [x] remove workspace migration
- [x] workspace migration removal migration
- [x] remove the `v2` references from workspace manager file names
- [x] remove the `v2` references from workspace manager modules
- [ ] Double check impact on translation file path updates
## Note
- Removed the gate logic
- Remains some service v2 naming, serverless needs to be migrated on v2
fully
- Removed workspaceMigration service app health consumption, making it
always returning up ( no more down ) cc @FelixMalfait ( quite obsolete
health check now, will require complete refactor once we introduce inter
app dependency etc )
Fixes https://github.com/twentyhq/private-issues/issues/395
When calling `removeUserFromWorkspaceAndPotentiallyDeleteWorkspace` from
`user.service`,
```
await workspaceMemberRepository.delete({
userId: userWorkspace.userId,
});
```
related database event is not emitted.
Same issue with update has been fixed
[here](https://github.com/twentyhq/twenty/pull/13287/changes)
The database event is not emitted because `await
eventSelectQueryBuilder.getOne()` in `workspace-delete-query-builder`
returns `null`. This happens because the `selectQueryBuilder` has no
entity—the database request is sent and the raw result is not `null`,
but the entity is `null`, causing the final result to be null.
It can be fixed the same way update has been fixed, updating the
`workspace-entity-manager`
- Pros : consistant with update but we should not forget to fix
softDelete and restore
- Cons : `workspace-entity-manager` is a copy of typeORM logic +
permission injection. Should it be more ?
Alternatively (as featured in this PR), it can be fixed by updating
computeEventSelectQueryBuilder, inspired by TypeORM's logic in
typeorm/query-builder/QueryBuilder.js at line 67.
- Pros : it fit with typeORM logic + It fixes all repository operations
## 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>
<!-- CURSOR_SUMMARY -->
> [!NOTE]
> Implements last-modifier tracking and unified actor injection.
>
> - New `ActorFromAuthContextService` replaces createdBy-only logic;
pre-query hooks now inject both `createdBy` and `updatedBy` on create
and `updatedBy` on update
> - Add `updatedBy` standard field to core/custom objects (e.g.,
`person`, `company`, `task`, `note`, `attachment`, `dashboard`,
`workflow`, `workflowRun`) with IDs, metadata builders, and ORM entity
fields
> - Record CRUD: `create` now sets both `createdBy` and `updatedBy`;
`update` sets `updatedBy`; workflow actions use a shared workflow actor
builder; REST base handler uses the new actor service
> - Seeder data and snapshots updated to include `updatedBy`; GraphQL
result formatting adds defaults/handling for empty composite fields
(incl. actor)
> - Frontend `useUpdateOneRecord` upserts returned record into the local
store after mutation
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
1f283778e9. 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>
Co-authored-by: Félix Malfait <felix@twenty.com>
Closes [89](https://github.com/twentyhq/core-team-issues/issues/89)
## Problem
When users attempt to create or update a record with a duplicate value
for a unique field (e.g., duplicate email or domain name), they receive
a generic error message: "This record already exists. Please check your
data and try again." This provides no actionable way to locate and view
the existing conflicting record, forcing users to manually search for
it.
## Solution
This PR enhances duplicate key constraint error handling to
automatically detect the conflicting record and display a "View existing
record" link in the error notification. When clicked, users are
navigated directly to the existing record's detail page.
## Backend Changes
### 1. PostgreSQL Error Parsing
(`parse-postgres-constraint-error.util.ts`)
- Extracts structured information from PostgreSQL `QueryFailedError`
messages.
### 2. Conflicting Record Lookup (`find-conflicting-record.util.ts`)
- Queries the database to find the existing record with the conflicting
value
### 3. Error Handling Orchestration
(`handle-duplicate-key-error.util.ts`)
- Parses PostgreSQL error to extract column name and conflicting value
- Attempts to find the conflicting record
- Enriches `TwentyORMException` with `conflictingRecordId` and
`conflictingObjectNameSingular` if found
### 4. Exception Computation Updates (`compute-twenty-orm-exception.ts`)
- Made function `async` and added optional `entityManager` and
`internalContext` parameters
- Needed to support async database queries for conflicting record lookup
### 5. GraphQL Error Handler
(`twenty-orm-graphql-api-exception-handler.util.ts`)
- **Changes**: Enhanced `DUPLICATE_ENTRY_DETECTED` case to include
`conflictingRecordId` and `conflictingObjectNameSingular` in GraphQL
error extensions
## Frontend Changes
### 1. Error Extraction Utility
(`get-conflicting-record-from-apollo-error.util.ts`)
- Accesses GraphQL error extensions
- Validates that both `conflictingRecordId` and
`conflictingObjectNameSingular` exist and are strings
- Returns `null` if validation fails
### 2. SnackBar Enhancement (`useSnackBar.ts`)
- Extracts conflicting record info from Apollo error
- Constructs URL using `getAppPath` utility
- Adds link object to snackbar options with text "View existing record"
<img width="931" height="858" alt="image"
src="https://github.com/user-attachments/assets/28137dc7-18ab-4ffe-b669-1f2d4ec264d1"
/>
## 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.
- The issue is that the listener is not triggered if they are no change
to the workspaceMember (which happens when name is already filled
through GoogleSSO)
Fixes https://github.com/twentyhq/twenty/issues/16440
Changes:
- as we store date in redis as serialized, let's make all flatEntity
dates as string. This requires changing FlatEntity types and making sure
that entity are converted to flatEntity and flatEntity to dtos
In this PR:
- add more logs to troubleshoot issues in production
- use messageChannelSyncStatus in messageSync service instead of making
a manual update
## 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)
In this PR (1/3)
- introduce view.mainGroupByFieldMetadataId as the new reference
determining which fieldMetadataId is used in a grouped view, in order to
deprecate viewGroup.fieldMetadataId which creates inconsistencies.
view.mainGroupByFieldMetadataId is now filled at every view creation,
though not in use yet.
- Introduce a command to backfill view.mainGroupByFieldMetadataId for
existing views + delete all viewGroup.fieldMetadataId with a
fieldMetadataId that is not view.mainGroupByFieldMetadataId. (It should
concern 37 active workspaces)
- Temporarily disable the option to change a grouped view's
fieldMetadataId as for now it creates inconsistencies. This feature can
be reintroduced when we have done the full migration.
In a next PR
- (2/3) use view.mainGroupByFieldMetadataId instead of
viewGroup.fieldMetadataId. In FE we may keep viewGroup.fieldMetadataId
as a state (TBD). View groups will now be created / deleted as a side
effect of view's mainGroupByFieldMetadataId update.
- (3/3) remove viewGroup.fieldMetadataId
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
## Context
EntityMetadata was being rebuilt from scratch on every
findMetadata()/getMetadata() call (~20 times per request). This involved
running EntitySchemaTransformer.transform() and
EntityMetadataBuilder.build() repeatedly, causing unnecessary CPU
overhead.
## Implementation
Cache entityMetadatas in ORMWorkspaceContext: Build EntityMetadata once
during workspace context initialization instead of on every metadata
lookup
Remove redundant entitySchemas caching: Since flatMetadata is already
cached, the additional Redis cache for entitySchemaOptions was
unnecessary overhead
Remove WorkspaceEntitiesStorage: Replaced with direct lookup from
FlatObjectMetadataMap
Simplify getObjectMetadataFromEntityTarget: Now only accepts string
targets, using flat metadata maps directly
Also:
Removed unused injections in some services
## 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
@charlesBochet
In workflow codebase, NULL (instead of empty object) is expected on
workflow version object step field, when a new workflow is created for
example.
(packages/twenty-front/src/modules/workflow/workflow-diagram/utils/generateWorkflowDiagram.ts
- 42)
This case is not isolated and it creates many issues.
We decided to format NULL value to equivalent (empty string for text
field, empty object for raw_json) but it seems it complicates the dev x.
To unlock @Devessier I prefer revert the logic, the time we discuss how
to solve this cases.
closes https://github.com/twentyhq/core-team-issues/issues/1629
To do before requesting review :
- filter update
Migration to come in an other PR
Strat :
1/ Null transformation
- [x] Transform NULL equivalent value to NULL in field validation in
common api - pre-query - with feature flag
- [ ] Same logic in ORM (Not done, complex to handle feature flag here)
- [x] Transform NULL value to equivalent in data formatting in ORM -
post-query
2/ Migration (in other PR) for fieldMetadata not nullable with default
defaultValue (empty string, ...)
- [ ] Remove NOT NULL db constraint
- [ ] Update record value to NULL
- [ ] Update field metadata : isNullable:true
- [ ] Update uniqueIndex whereClause (also for standard uniqueIndex)
- [ ] Activate feature flag
3/ Update metadata creation
- [x] No more default default value
- [x] Update standard field nullability
- [x] Remove index default whereClause for standard field
4/ Update filter
- [x] When filtering on NULL or empty string, be sure all records are
returned (the one with NULL + the one with "")
5/ Test
- [ ] Strat. to do
While investigating the issue a customer was facing, I discovered that
before records and after records could be in different order, making the
orm event and timeline activity engine mix records
**Before**
- any user with workpace_members permission was able to remove a user
from their workspace. This triggered the deletion of workspaceMember +
of userWorkspace, but did not delete the user (even if they had no
workspace left) nor the roleTarget (acts as junction between role and
userWorkspace) which was left with a userWorkspaceId pointing to
nothing. This is because roleTarget points to userWorkspaceId but the
foreign key constraint was not implemented
- any user could delete their own account. This triggered the deletion
of all their workspaceMembers, but not of their userWorkspace nor their
user nor the roleTarget --> we have orphaned userWorkspace, not
technically but product wise - a userWorkspace without a workspaceMember
does not make sense
So the problems are
- we have some roleTargets pointing to non-existing userWorkspaceId
(which caused https://github.com/twentyhq/twenty/issues/14608 )
- we have userWorkspaces that should not exist and that have no
workspaceMember counterpart
- it is not possible for a user to leave a workspace by themselves, they
can only leave all workspaces at once, except if they are being removed
from the workspace by another user
**Now**
- if a user has multiple workspaces, they are given the possibility to
leave one workspace while remaining in the others (we show two buttons:
Leave workspace and Delete account buttons). if a user has just one
workspace, they only see Delete account
- when a user leaves a workspace, we delete their workspaceMember,
userWorkspace and roleTarget. If they don't belong to any other
workspace we also soft-delete their user
- soft-deleted users get hard deleted after 30 days thanks to a cron
- we have two commands to clean the orphans roleTarget and userWorkspace
(TODO: query db to see how many must be run)
**Next**
- once the commands have been run, we can implement and introduce the
foreign key constraint on roleTarget
Fixes https://github.com/twentyhq/twenty/issues/14608
As title
- adds decorators in twenty-sdk
- update twenty-cli load-manifest to it gets @FieldMetadata infos +
testing
- update twenty-server so it CRUD fields properly, using
universalIdentifier
- Fix UI so we can update managed objects records
- move FieldMetadata items from twenty-server to twenty-shared
- on draft creation, do not fetch the full version. Avoid the fetch of
steps and trigger
- on activation, we were performing 8 queries/mutations synchronously +
2 additional for automated triggers. I refacto the call it it gets
reduced to 4 queries/mutations + 2 additional for automated triggers
This PR implements the necessary tools to have `react-datepicker`
calendar and our date picker components work reliably no matter the
timezone difference between the user execution environment and the user
application timezone.
Fixes https://github.com/twentyhq/core-team-issues/issues/1781
This PR won't cover everything needed to have Twenty handle timezone
properly, here is the follow-up issue :
https://github.com/twentyhq/core-team-issues/issues/1807
# Features in this PR
This PR brings a lot of features that have to be merged together.
- DATE field type is now handled as string only, because it shouldn't
involve timezone nor the JS Date object at all, since it is a day like a
birthday date, and not an absolute point in time.
- DATE_TIME field wasn't properly handled when the user settings
timezone was different from the system one
- A timezone abbreviation suffix has been added to most DATE_TIME
display component, only when the timezone is different from the system
one in the settings.
- A lot of bugs, small features and improvements have been made here :
https://github.com/twentyhq/core-team-issues/issues/1781
# Handling of timezones
## Essential concepts
This topic is so complex and easy to misunderstand that it is necessary
to define the precise terms and concepts first. It resembles character
encoding and should be treated with the same care.
- Wall-clock time : the time expressed in the timezone of a user, it is
distinct from the absolute point in time it points to, much like a
pointer being a different value than the value that it points to.
- Absolute time : a point in time, regardless of the timezone, it is an
objective point in time, of course it has to be expressed in a given
timezone, because we have to talk about when it is located in time
between humans, but it is in fact distinct from any wall clock time, it
exists in itself without any clock running on earth. However, by
convention the low-level way to store an absolute point in time is in
UTC, which is a timezone, because there is no way to store an absolute
point in time without a referential, much like a point in space cannot
be stored without a referential.
- DST : Daylight Save Time, makes the timezone shift in a specific
period every year in a given timezone, to make better use of longer days
for various reasons, not all timezones have DST. DST can be 1 hour or 30
min, 45 min, which makes computation difficult.
- UTC : It is NOT an “absolute timezone”, it is the wall-clock time at
0° longitude without DST, which is an arbitrary and shared human
convention. UTC is often used as the standard reference wall-clock time
for talking about absolute point in time without having to do timezone
and DST arithmetic. PostgreSQL stores everything in UTC by convention,
but outputs everything in the server’s SESSION TIMEZONE.
## How should an absolute point in time be stored ?
Since an absolute point in time is essentially distinct from its
timezone it could be stored in an absolute way, but in practice it is
impossible to store an absolute point in time without a referential. We
have to say that a rocket launched at X given time, in UTC, EST, CET,
etc. And of course, someone in China will say that it launched at 10:30,
while in San Francisco it will have launched at 19:30, but it is THE
SAME absolute point in time.
Let’s take a related example in computer science with character
encoding. If a text is stored without the associated encoding table, the
correct meaning associated to the bits stored in memory can be lost
forever. It can become impossible for a program to guess what encoding
table should be used for a given text stored as bits, thus the glitches
that appeared a lot back in the early days of internet and document
processing.
The same can happen with date time storing, if we don’t have the
timezone associated with the absolute point in time, the information of
when it absolutely happened is lost.
It is NOT necessary to store an absolute point in time in UTC, it is
more of a standard and practical wall-clock time to be associated with
an absolute point in time. But an absolute point in time MUST be store
with a timezone, with its time referential, otherwise the information of
when it absolutely happened is lost.
For example, it is easier to pass around a date as a string in UTC, like
`2024-01-02T00:00:00Z` because it allows front-end and back-end code to
“talk” in the same standard and DST-free wall-clock time, BUT it is not
necessary. Because we have date libraries that operate on the standard
ISO timezone tables, we can talk in different timezone and let the
libraries handle the conversion internally.
It is false to say that UTC is an absolute timezone or an absolute point
in time, it is just the standard, conventional time referential, because
one can perfectly store every absolute points in time in UTC+10 with a
complex DST table and have the exactly correct absolute points in time,
without any loss of information, without having any UTC+0 dates
involved.
Thus storing an absolute point in time without a timezone associated,
for example with `timestamp` PostgreSQL data type, is equivalent to
storing a wall-clock time and then throwing away voluntarily the
information that allows to know when it absolutely happened, which is a
voluntary data-loss if the code that stores and retrieves those
wall-clock points in time don’t store the associated timezone somewhere.
This is why we use `timestamptz` type in PostgreSQL, so that we make
sure that the correct absolute point in time is stored at the exact time
we send it to PostgreSQL server, no matter the front-end, back-end and
SQL server's timezone differences.
## The JavaScript Date object
The native JavaScript Date object is now officially considered legacy
([source](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date)),
the Date object stores an absolute point in time BUT it forces the
storage to use its execution environment timezone, and one CANNOT modify
this timezone, this is a legacy behavior.
To obtain the desired result and store an absolute point in time with an
arbitrary timezone there are several options :
- The new Temporal API that is the successor of the legacy Date object.
- Moment / Luxon / @date-fns/tz that expose objects that allow to use
any timezone to store an absolute point in time.
## How PostgreSQL stores absolute point in times
PostgreSQL stores absolute points in time internally in UTC
([source](https://www.postgresql.org/docs/current/datatype-datetime.html#DATATYPE-DATETIME-INPUT-TIME-STAMPS)),
but the output date is expressed in the server’s session timezone
([source](https://www.postgresql.org/docs/current/sql-set.html)) which
can be different from UTC.
Example with the object companies in Twenty seed database, on a local
instance, with a new “datetime” custom column :
<img width="374" height="554" alt="image"
src="https://github.com/user-attachments/assets/4394cb43-d97e-4479-801d-ca068f800e39"
/>
<img width="516" height="524" alt="image"
src="https://github.com/user-attachments/assets/b652f36a-d2e2-47a4-8950-647ca688cbbd"
/>
## Why can’t I just use the JavaScript native Date object with some
manual logic ?
Because the JavaScript Date object does not allow to change its internal
timezone, the libraries that are based on it will behave on the
execution environment timezone, thus leading to bugs that appear only on
the computers of users in a timezone but not for other in another
timezone.
In our case the `react-datepicker` library forces to use the `Date`
object, thus forcing the calendar to behave in the execution environment
system timezone, which causes a lot of problems when we decide to
display the Twenty application DATE_TIME values in another timezone than
the user system one, the bugs that appear will be of the off-by-one date
class, for example clicking on 23 will select 24, thus creating an
unreliable feature for some system / application timezone combinations.
A solution could be to manually compute the difference of minutes
between the application user and the system timezones, but that’s not
reliable because of DST which makes this computation unreliable when DST
are applied at different period of the year for the two timezones.
## Why can’t I compute the timezone difference manually ?
Because of DST, the work to compute the timezone difference reliably,
not just for the usual happy path, is equivalent to developing the
internal mechanism of a date timezone library, which is equivalent to
use a library that handles timezones.
## Using `@date-fns/tz` to solve this problem
We could have used `luxon` but it has a heavy bundle size, so instead we
rely here on `@date-fns/tz` (~1kB) which gives us a `TZDate` object that
allows to use any given timezone to store an absolute point-in-time.
The solution here is to trick `react-datepicker` by shifting a Date
object by the difference of timezone between the user application
timezone and the system timezone.
Let’s take a concerte example.
System timezone : Midway, ⇒ UTC-11:00, has no DST.
User application timezone : Auckland, NZ ⇒ UTC+13:00, has a DST.
We’ll take the NZ daylight time, so that will make a timezone difference
of 24 hours !
Let’s take an error-prone date : `2025-01-01T00:00:00` . This date is
usually a good test-case because it can generate three classes of bugs :
off-by-one day bugs, off-by-one month bugs and off-by-one year bugs, at
the same time.
Here is the absolute point in time we take expressed in the different
wall-clock time points we manipulate
Case | In system timezone ⇒ UTC-11 | In UTC | In user application
timezone ⇒ UTC+13
-- | -- | -- | --
Original date | `2024-12-31T00:00:00-11:00` | `2024-12-31T11:00:00Z` |
`2025-01-01T00:00:00+13:00`
Date shifted for react-datepicker | `2025-01-01T00:00:00-11:00` |
`2025-01-01T11:00:00Z` | `2025-01-02T00:00:00+13:00`
We can see with this table that we have the number part of the date that
is the same (`2025-01-01T00:00:00`) but with a different timezone to
“trick” `react-datepicker` and have it display the correct day in its
calendar.
You can find the code in the hooks
`useTurnPointInTimeIntoReactDatePickerShiftedDate` and
`useTurnReactDatePickerShiftedDateBackIntoPointInTime` that contain the
logic that produces the above table internally.
## Miscellaneous
Removed FormDateFieldInput and FormDateTimeFieldInput stories as they do
not behave the same depending of the execution environment and it would
be easier to put them back after having refactored FormDateFieldInput
and FormDateTimeFieldInput
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
For the variables orderBy (for findMany and groupBy), groupBy (for
groupBy) and orderByForRecords (for groupBy), we were wrongfully adding
the foreign key field (eg: pointOfContact) by its joinColumnName (eg:
pointOfContactId) as the variable key (eg. `orderBy: { pointOfContactId:
"AscNullsFirst" } }`. That broke because then this key is used to
identify the field in the parsers.
This went unnoticed because this order / group option is not very
interesting as it is limited to the id for now, but it s still better to
have it work than crash!
before (on findMany)
<img width="1841" height="674" alt="flawn_order_by_pocId"
src="https://github.com/user-attachments/assets/3ccd7604-041d-4b7e-8b6a-c1d268440a45"
/>
after (on findMany)
<img width="1182" height="805" alt="image"
src="https://github.com/user-attachments/assets/e9253683-bcbe-429e-bbef-e334c7cc76af"
/>
Implements permission intersection (AND logic) to prevent permission
escalation when agents act on behalf of users.
### Changes:
- **Permission Intersection**: Operations requiring both user AND agent
permissions
- **RoleContext Type**: Unified type supporting single `roleId` or
multiple `roleIds` for intersection
- **CRUD Services**: Updated to accept `roleContext` for granular
permission control
- **Agent Integration**: Chat agents now use user + agent role
intersection for all operations
- **ORM Layer**: Enhanced `getRepository` to support multi-role
permission checks
### Related:
- Part 2 of ["Acting on behalf of user" concept
PR](https://github.com/twentyhq/twenty/pull/15103)
[Closes#1661](https://github.com/twentyhq/core-team-issues/issues/1661)
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Weiko