Fixes
https://github.com/twentyhq/private-issues/issues/410#issuecomment-3781085655
Currently, JSON keys with spaces like { "toto toto": 123 } are rejected
with "JSON keys cannot contain spaces" error. This is problematic for
HTTP requests and webhook triggers where users cannot control the
response structure.
We use Handlebars to eval variables, segment-literal bracket notation to
escape keys with special characters:
Normal: {{step.normalKey}}
With spaces: `{{step.[key with space]}}`
So we simply need to wrap segments with spaces with brackets.
This PR:
- Create shared path utilities to wrap the variable segments when needed
- Use it in all variable generation places
- Remove the restrictions
This body is now supported:
<img width="609" height="457" alt="Capture d’écran 2026-01-22 à 16 10
13"
src="https://github.com/user-attachments/assets/e7653c0a-df1e-49af-9c9a-4b7d59a99726"
/>
## Summary
Adds `app:build` command as a one-shot version of `app:dev` - builds
manifest, functions, and front components once then exits (no watching).
**Changes:**
- Added `watch` option to `FunctionsWatcher` and
`FrontComponentsWatcher` to support both watch and one-shot modes
- Created `AppBuildCommand` reusing the same build logic as `app:dev`
with `watch: false`
- Added integration tests for `app:build` on both `rich-app` and
`root-app`
- Updated manifest types: `handlerPath` → `sourceHandlerPath` +
`builtHandlerPath`, `componentPath` → `sourceComponentPath` +
`builtComponentPath`
- Updated test app `package.json` scripts to match `create-twenty-app`
template
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)
Summary
- Serverless functions are now built when created/updated instead of at
execution time
- Added builtHandlerPath field to track pre-built function artifacts
- Renamed base-typescript-project to seed-project with pre-built ESM
output included
- Renamed file folder enums for consistency (Functions → BuiltFunction,
SourceCode → Source)
- supports backwards compatibility with existing serverless functions
Tested with all combinations
- storage : local driver and S3 driver
- serverless : local driver and lambda driver
## Overview
This PR implements **generic many-to-many relation support** through
junction tables (also known as associative entities or join tables).
This replaces the need for hardcoded taskTarget/noteTarget logic and
provides a flexible foundation for modeling complex entity
relationships.
## Architecture
### Data Model
Many-to-many relationships are implemented using a **junction object
pattern**:
```
┌─────────┐ ┌──────────────────┐ ┌─────────┐
│ Pet │──────>│ PetRocket │<──────│ Rocket │
│ │ 1:N │ (junction) │ N:1 │ │
│ rockets ├───────┤ pet : Pet ├───────┤ │
└─────────┘ │ rocket : Rocket │ └─────────┘
└──────────────────┘
```
The junction object (PetRocket) has:
- A `MANY_TO_ONE` relation to **Pet** (the source)
- A `MANY_TO_ONE` relation to **Rocket** (the target)
The source object (Pet) has a `ONE_TO_MANY` relation pointing to the
junction, with **field settings** that specify which target field to
follow.
### Field Settings Schema
Junction configuration is stored in `FieldMetadataRelationSettings`:
```typescript
{
relationType: "ONE_TO_MANY",
// Points to the target field on the junction object
junctionTargetFieldId?: string; // For regular relations
junctionTargetMorphId?: string; // For polymorphic relations
}
```
**Two configuration modes:**
1. **`junctionTargetFieldId`** - References a specific `RELATION` field
on the junction
2. **`junctionTargetMorphId`** - References a `morphId` group for
polymorphic targets (e.g., link to Person OR Company)
### GraphQL Query Generation
When a junction relation is detected, the GraphQL fields are generated
to fetch the nested target:
```graphql
query GetPetWithRockets {
pet(id: "...") {
rockets { # ONE_TO_MANY to junction
id
rocket { # Target field on junction
id
name
__typename
}
}
}
}
```
For polymorphic junction targets:
```graphql
caretakerPerson { id, name }
caretakerCompany { id, name }
```
## Frontend Architecture
### Display Flow
1. **Detection**: `hasJunctionConfig()` checks if field has junction
settings
2. **Config Resolution**: `getJunctionConfig()` resolves junction object
metadata and target fields
3. **Record Extraction**: `extractTargetRecordsFromJunction()` extracts
target records from junction records
4. **Rendering**: Target records displayed as chips (not junction
records)
### Edit Flow
1. **Picker Opening**: Initializes the multi-record picker with:
- Searchable object types (derived from junction target fields)
- Pre-selected items (extracted from existing junction records)
2. **Selection Handling**: Manages create/delete of junction records:
- **Select**: Creates new junction record with source + target IDs
- **Deselect**: Finds and deletes the junction record
- **Optimistic Updates**: Manually updates Recoil store before API call
### Key Trade-offs
| Decision | Trade-off |
|----------|-----------|
| Junction records managed manually | More control over optimistic
updates, but requires manual cache management |
| Settings stored per-field | Flexible (same junction can power
different views), but requires UI to configure |
| Polymorphic via morphId groups | Supports N target types, but adds
query complexity |
| Feature flag gated | Safe rollout, but requires flag management |
## Backend Changes
- **Validation**: Junction target field must exist and be a valid
`MANY_TO_ONE` relation
- **Settings**: Extended `FieldMetadataRelationSettings` type with
junction fields
- **Dev Seeder**: Added sample junction objects (PetRocket,
EmploymentHistory, PetCareAgreement) for testing
## How to Test
1. Enable the `IS_JUNCTION_RELATIONS_ENABLED` feature flag
2. Create objects with junction pattern (Pet → PetRocket → Rocket)
3. Configure the junction target in field settings (advanced mode)
4. Verify:
- Display shows target objects (Rockets), not junction records
(PetRockets)
- Picker allows selecting/deselecting targets
- Changes persist correctly
https://github.com/user-attachments/assets/d04f057a-228c-4de8-af48-76bb2d72cac1
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
In this PR :
- New field type FieldMetadataType.FILES added (as jsonb in DB)
- Backend: GraphQL types, validation, REST API schema, data processor
handling
- Frontend: field configuration in settings
- Feature flag IS_FILES_FIELD_ENABLED to gate the feature
- Integration tests for create/filter validation
- Dev seed: Feature flag enabled + FILES field on survey result object
To do in next PRs :
- Backend :
-- new workspaceFile controller (for download) & new workspaceFile
upload resolver (for upload)
-- pre-hook/post-hook to ensure fileId existence + listener to ensure
cleaning
- Frontend : FILES field display/edit in table view, record, ...
Heavy Refactoring of the watcher, sorry about this one, I'll keep
iterating on it.
In a nutshell:
- app-dev.ts is maintaining 3 watchers in parallel: manifest, function
and frontComponent
## Add `frontComponent` entity type to SDK
This PR adds a new `frontComponent` entity type at parity with
`serverlessFunction`. Front components are React components that can be
defined and bundled as part of Twenty applications.
### Changes
#### New Entity Type
- Added `FRONT_COMPONENT` to `SyncableEntity` enum
- Front components use `*.front-component.tsx` file naming convention
- CLI command `twenty app:add` now includes `front-component` as an
option
#### SDK Application Layer (`twenty-sdk`)
- Added `defineFrontComponent()` function for defining front component
configurations with validation
- Added `FrontComponentConfig` type for component configuration
- Added `getFrontComponentBaseFile()` template generator for scaffolding
new front components
- Added `loadFrontComponentModule()` to load front component modules and
extract component metadata
#### Shared Types (`twenty-shared`)
- Added `FrontComponentManifest` type with `universalIdentifier`,
`name`, `description`, `componentPath`, and `componentName` fields
- Updated `ApplicationManifest` to include optional `frontComponents`
array
#### Manifest Build System
- Updated `manifest-build.ts` to discover and load
`*.front-component.tsx` files
- Updated `manifest-validate.ts` to validate front components and check
for duplicate IDs
- Updated `manifest-display.ts` to display front component count in
build summary
- Updated `manifest-plugin.ts` to display front component entry points
and watch `.tsx` files
#### Template (`create-twenty-app`)
- New applications now include a sample
`hello-world.front-component.tsx` file
#### Tests
- Added unit tests for `defineFrontComponent()`
- Added unit tests for `getFrontComponentBaseFile()`
## 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"
/>
- Create resolvers for each type of charts which needs data
transformation after the group by operation: Bar Chart, Line Chart and
Pie Chart
- Move all the utils to the backend and refactored some into services
This allows all the computation to be done in the backend, improving
performances in the frontend.
Closes https://github.com/twentyhq/core-team-issues/issues/1838
DatabaseEventTriggers can now define a field-level granularity on which
updates they should react to.
After a discussion with the team, we have decided to rely on field names
and not UID, just as we do for objects. The rationale is that we want to
keep a pleasant devX and consider it's not on twenty to ensure
continuity of api usage around an object if their name is updated: for
instance if a user has based their webhook on the name of an object, if
they decide to update it, they have to take care of updating their
webhook.
## Summary
Moves the custom ESLint rules from `tools/eslint-rules` to
`packages/twenty-eslint-rules` for better organization within the
monorepo packages structure.
## Changes
- Move `eslint-rules` from `tools/` to `packages/twenty-eslint-rules`
- Use `loadWorkspaceRules` from `@nx/eslint-plugin` to load custom rules
- Update all ESLint configs to use the `twenty/` rule prefix instead of
`@nx/workspace-`
- Update `project.json`, `jest.config.mjs` with new paths
- Update `package.json` workspaces and `nx.json` cache inputs
- Update Dockerfile reference
## Technical Details
The custom ESLint rules are now loaded using Nx's `loadWorkspaceRules`
utility which:
- Handles TypeScript transpilation automatically
- Allows loading workspace rules from any directory
- Provides a cleaner approach than the previous `@nx/workspace-`
convention
## Testing
- Verified all 17 custom ESLint rules load correctly from the new
location
- Verified linting works on dependent packages (twenty-front,
twenty-server, etc.)
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
- add `forwardedRequestHeaders` `string[]` column in `core.routeTrigger`
- filter request headers and forward filtered headers to function
payload (avoid spreading unexpectedly token or cookie)
- add `forwardedRequestHeaders` option in twenty-sdk `defineFunction`
util
BREAKING for actual routeTrigger payload but only 16 to migrate in
production
## 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
This PR is a follow-up of https://github.com/twentyhq/twenty/pull/16966
and implements a new mechanism to handle SSE events.
It creates only one event stream per browser tab, then use mutations to
tell the backend which query to listen to, without re-mounting the event
stream connexion.
Then each event that comes from this unique subscription is then
dispatched in a new JavaScript CustomEvent, per queryId, on which
specific hooks add an event listener.
This PR introduces the generic tooling as well as the handling of update
events on table.
- moved a few gql types to twenty shared to re-use in server
- added a new endpoint, onEventSubscription that expect a streamId to
create a connection
- two new endpoints to store queries in Redis
- updated the existing batch channel to directly use object record type
Fixes : https://github.com/twentyhq/twenty/issues/17035
There was a bad pattern which risked introduce this bug in
`turnRecordFilterIntoRecordGqlOperationFilter` after recent refactor of
date logic and date filters, which didn't create any bug during dev time
because it wasn't tested with value combinations that existed before the
refactor.
Code has been re-organized to make it resilient to any wrong value
combination.
Also fixed a small bug that appeared during QA with `DATE` filter type,
which was blocking the save button from disappearing after a save.
- Add widget validation
- Remove 'None' option for primary axis group by
- Fix error message parsing by passing the operation type in
`useMetadataErrorHandler`
## Description
SELECT fields have a defined option order that users expect to see
reflected in charts.
This PR allows sorting by that position and also enables custom manual
ordering.
## Video QA
### Reordering on primary axis
https://github.com/user-attachments/assets/994f515e-19cb-4a5e-b745-e8c77e92ae0b
### Reordering on secondary axis
https://github.com/user-attachments/assets/444c16f2-1920-4dc4-8b42-312d520ab43b
Note: The colors in the graph will match the colors of the select
options, but this will be done in another PR
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Introduces new sort modes and UI for chart groupings, with full FE/BE
support and updated GraphQL schema.
>
> - Extend `GraphOrderBy` with `FIELD_POSITION_ASC/DESC` and `MANUAL`;
add corresponding fields in configs: `primaryAxisManualSortOrder`,
`secondaryAxisManualSortOrder`, and `manualSortOrder` (pie)
> - New UI: dropdown options filtered by field type, icons, and a
draggable submenu (`ChartManualSortSubMenuContent`) to reorder select
options; integrates with widget edit flow
> - Sorting logic added/refactored: `sortChartData`,
`sortByManualOrder`, `sortBySelectOptionPosition`,
`sortLineChartSeries`, plus updates to bar/line/pie transformers to
honor new modes and manual orders
> - Default behaviors: select fields default to `FIELD_POSITION_ASC`;
query variable builders skip `orderBy` when using manual/position sorts
> - Update GraphQL generated types/fragments/queries and backend
DTOs/schemas to persist new fields; add tests for sorting utilities and
snapshots; add sorting icons in `twenty-ui`
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
78c9b56c0f. 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: Lucas Bordeau <bordeau.lucas@gmail.com>
## Summary
This PR enables serverless functions to be exposed as AI tools, allowing
them to be used by AI agents.
### Changes
- Added new `SERVERLESS_FUNCTION` tool category
- Added `toolDescription`, `toolInputSchema`, and `toolOutputSchema`
fields to serverless functions
- Created database migration for the new schema columns
- Added tool index query and resolver for fetching available tools
- Added Settings AI page tabs (Skills, Tools, Settings) with new tools
table
- Added utility to convert tool schema to JSON schema format
- Updated frontend to display tools in the settings page
### Implementation Details
- Serverless functions can now define tool metadata (description,
input/output schemas)
- These functions are automatically registered in the tool registry
- The tool index endpoint allows querying available tools with their
schemas
- Settings page now has a dedicated Tools tab showing all available
tools
# Introduction
In this PR we're:
- Refactoring the workspace migration action type introducing grain over
metadata and operation type ( for example operation `create` and
metadata `field` )
- Thanks to above point we can now factorize the runner optimistic
rendering out of each runner actions-handler file using the existing
into the generic one ( -3200 lines of code here )
- Still thanks to action type refactor we're able to dynamically compose
the response error type only send data when there's here. No more static
counter and static summary error message. This way we won't have to re
run snapshot every time we add a new entity to the engine ( huge
snapshot diff here )
## Noticeable points:
- We introduce an index update action to avoid any complex typing for
not having one or a tuple of actions instead. Now the drop and insert
logic is directly inferred from the update action handler instead of
being two action ( delete index and create index )
## TODO
- [x] Define base actions types
- [x] Migrate all actions to action type and metadata name pattern (
base actions )
- [x] Refactor flat entity validation type to embed metadata name
- [x] Refactor optimistic rendering within runner
- [x] Refactor legacy cache invalidation switch
- [x] Refactor response error format ( dynamic counter again + no empty
entries )
- [x] Try factorizing and removing redundant nor unused type declaration
in metadata actions type intermediary files
- [x] Adapt front to new response error format
## Remarks
- ~~Should create an issue for generic replace flat entity in related
flat entity maps~~ overkill
- Should create an issue for oneToMany foreignKey being nullable not
always cascade delete optimistic rendering edge case to either docs or
fix it in delete flat entity and related entity ( re-code the pg
cascading behavior )
- We could also factorize the builder to only implement validators and
not the intermediary file
# Introduction
As we introduced a new grain on relation extraction thanks to low level
`SyncableEntity` and `WorkspaceRelatedEntity` we're able to strictly
typesafe extract metadata entity
The new constant centralizes both many to one and one to many constants
metadata entity constants in a more strictly typesafe way. Remains only
the flatEntityForeignKey aggregator which has to be chosen manually
across all available targeted flat entity ids properties
## 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>
## Summary
This PR enforces the use of `@/` alias for imports instead of relative
parent imports (`../`).
## Changes
### ESLint Configuration
- Added `no-restricted-imports` pattern in `eslint.config.react.mjs` to
block `../*` imports with the message "Relative parent imports are not
allowed. Use @/ alias instead."
- Removed the non-working `import/no-relative-parent-imports` rule
(doesn't work properly in ESLint flat config)
### VS Code Settings
- Added `javascript.preferences.importModuleSpecifier: non-relative` to
`.vscode/settings.json` (TypeScript setting was already there)
### Code Fixes
- Fixed **941 relative parent imports** across **706 files** in
`packages/twenty-front`
- All `../` imports converted to use `@/` alias
## Why
- Consistent import style across the codebase
- Easier to move files without breaking imports
- Better IDE support for auto-imports
- Clearer understanding of where imports come from
Fixes https://github.com/twentyhq/twenty/issues/16110
This PR implements Temporal to replace the legacy Date object, in all
features that are time zone sensitive. (around 80% of the app)
Here we define a few utils to handle Temporal primitives and obtain an
easier DX for timezone manipulation, front end and back end.
This PR deactivates the usage of timezone from the graph configuration,
because for now it's always UTC and is not really relevant, let's handle
that later.
Workflows code and backend only code that don't take user input are
using UTC time zone, the affected utils have not been refactored yet
because this PR is big enough.
# New way of filtering on date intervals
As we'll progressively rollup Temporal everywhere in the codebase and
remove `Date` JS object everywhere possible, we'll use the way to filter
that is recommended by Temporal.
This way of filtering on date intervals involves half-open intervals,
and is the preferred way to avoid edge-cases with DST and smallest time
increment edge-case.
## Filtering endOfX with DST edge-cases
Some day-light save time shifts involve having no existing hour, or even
day on certain days, for example Samoa Islands have no 30th of December
2011 : https://www.timeanddate.com/news/time/samoa-dateline.html, it
jumps from 29th to 31st, so filtering on `< next period start` makes it
easier to let the date library handle the strict inferior comparison,
than filtering on `≤ end of period` and trying to compute manually the
end of the period.
For example for Samoa Islands, is end of day `2011-12-29T23:59:59.999`
or is it `2011-12-30T23:59:59.999` ? If you say I don't need to know and
compute it, because I want everything strictly before
`2011-12-29T00:00:00 + start of next day (according to the library which
knows those edge-cases)`, then you have a 100% deterministic way of
computing date intervals in any timezone, for any day of any year.
Of course the Samoa example is an extreme one, but more common ones
involve DST shifts of 1 hour, which are still problematic on certain
days of the year.
## Computing the exact _end of period_
Having an open interval filtering, with `[included - included]` instead
of half-open `[included - excluded)`, forces to compute the open end of
an interval, which often involves taking an arbitrary unit like minute,
second, microsecond or nanosecond, which will lead to edge-case of
unhandled values.
For example, let's say my code computes endOfDay by setting the time to
`23:59:59.999`, if another library, API, or anything else, ends up
giving me a date-time with another time precision `23:59:59.999999999`
(down to the nanosecond), then this date-time will be filtered out,
while it should not.
The good deterministic way to avoid 100% of those complex bugs is to
create a half-open filter :
`≥ start of period` to `< start of next period`
For example :
`≥ 2025-01-01T00:00:00` to `< 2025-01-02T00:00:00` instead of `≥
2025-01-01T00:00:00` to `≤ 2025-01-01T23:59:59.999`
Because, `2025-01-01T00:00:00` = `2025-01-01T00:00:00.000` =
`2025-01-01T00:00:00.000000` = `2025-01-01T00:00:00.000000000` => no
risk of error in computing start of period
But `2025-01-01T23:59:59` ≠ `2025-01-01T23:59:59.999` ≠
`2025-01-01T23:59:59.999999` ≠ `2025-01-01T23:59:59.999999999` =>
existing risk of error in computing end of period
This is why an half-open interval has no risk of error in computing a
date-time interval filter.
Here is a link to this debate :
https://github.com/tc39/proposal-temporal/issues/2568
> For this reason, we recommend not calculating the exact nanosecond at
the end of the day if it's not absolutely necessary. For example, if
it's needed for <= comparisons, we recommend just changing the
comparison code. So instead of <= zdtEndOfDay your code could be <
zdtStartOfNextDay which is easier to calculate and not subject to the
issue of not knowing which unit is the right one.
>
> [Justin Grant](https://github.com/justingrant), top contributor of
Temporal
## Application to our codebase
Applying this half-open filtering paradigm to our codebase means we
would have to rename `IS_AFTER` to `IS_AFTER_OR_EQUAL` and to keep
`IS_BEFORE` (or even `IS_STRICTLY_BEFORE`) to make this half-open
interval self-explanatory everywhere in the codebase, this will avoid
any confusion.
See the relevant issue :
https://github.com/twentyhq/core-team-issues/issues/2010
In the mean time, we'll keep this operand and add this semantic in the
naming everywhere possible.
## Example with a different user timezone
Example on a graph grouped by week in timezone Pacific/Samoa, on a
computer running on Europe/Paris :
<img width="342" height="511" alt="image"
src="https://github.com/user-attachments/assets/9e7d5121-ecc4-4233-835b-f59293fbd8c8"
/>
Then the associated data in the table view, with our **half-open
date-time filter** :
<img width="804" height="262" alt="image"
src="https://github.com/user-attachments/assets/28efe1d7-d2fc-4aec-b521-bada7f980447"
/>
And the associated SQL query result to see how DATE_TRUNC in Postgres
applies its internal start of week logic :
<img width="709" height="220" alt="image"
src="https://github.com/user-attachments/assets/4d0542e1-eaae-4b4b-afa9-5005f48ffdca"
/>
The associated SQL query without parameters to test in your SQL client :
```SQL
SELECT "opportunity"."closeDate" as "close_date", TO_CHAR(DATE_TRUNC('week', "opportunity"."closeDate", 'Pacific/Samoa') AT TIME ZONE 'Pacific/Samoa', 'YYYY-MM-DD') AS "DATE_TRUNC by week start in timezone Pacific/Samoa", "opportunity"."name" FROM "workspace_1wgvd1injqtife6y4rvfbu3h5"."opportunity" "opportunity" ORDER BY "opportunity"."closeDate" ASC NULLS LAST
```
# Date picker simplification (not in this PR)
Our DatePicker component, which is wrapping `react-datepicker` library
component, is now exposing plain dates as string instead of Date object.
The Date object is still used internally to manage the library
component, but since the date picker calendar is only manipulating plain
dates, there is no need to add timezone management to it, and no need to
expose a handleChange with Date object.
The timezone management relies on date time inputs now.
The modification has been made in a previous PR :
https://github.com/twentyhq/twenty/issues/15377 but it's good to
reference it here.
# Calendar feature refactor
Calendar feature has been refactored to rely on Temporal.PlainDate as
much as possible, while leaving some date-fns utils to avoid re-coding
them.
Since the trick is to use utils to convert back and from Date object in
exec env reliably, we can do it everywhere we need to interface legacy
Date object utils and Temporal related code.
## TimeZone is now shown on Calendar :
<img width="894" height="958" alt="image"
src="https://github.com/user-attachments/assets/231f8107-fad6-4786-b532-456692c20f1d"
/>
## Month picker has been refactored
<img width="503" height="266" alt="image"
src="https://github.com/user-attachments/assets/cb90bc34-6c4d-436d-93bc-4b6fb00de7f5"
/>
Since the days weren't useful, the picker has been refactored to remove
the days.
# Miscellaneous
- Fixed a bug with drag and drop edge-case with 2 items in a list.
# Improvements
## Lots of chained operations
It would be nice to create small utils to avoid repeated chained
operations, but that is how Temporal is designed, a very small set of
primitive operations that allow to compose everything needed. Maybe
we'll have wrappers on top of Temporal in the coming years.
## Creation of Temporal objects is throwing errors
If the input is badly formatted Temporal will throw, we might want to
adopt a global strategy to avoid that.
Example :
```ts
const newPlainDate = Temporal.PlainDate.from('bad-string'); // Will throw
```
- Rename page title from 'Releases' to 'Updates'
- Rename navigation item label from 'Releases' to 'Updates'
- Remove tabbed interface (Changelog/Lab tabs)
- Add 'Releases' section with external link to changelog
- Add 'Early access' section with lab features
- Add IconTransform to twenty-ui exports
- Delete unused tab-related components and constants
Screenshot:
<img width="2158" height="1698" alt="CleanShot 2025-12-17 at 17 53
46@2x"
src="https://github.com/user-attachments/assets/87ead041-24a7-4afb-9dfc-71e5c20324d6"
/>
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Since we now store rich text value in blocknote rather than markdown,
variables need to be resolved accordingly.
Replacing the variable tag pattern
`{"type":"variableTag","attrs":\{"variable":"(\{\{[^{}]+\}\})"\}\}` by a
blocknote text `{"type":"text","text":"${escapedText}"}`
Fixes https://github.com/twentyhq/twenty/issues/16583
To test :
- build a workflow that creates a note/ sends an email with a variable
in the body
- make sure the result is properly formatted once run
---------
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
Fixes#16636
Added useCloseDropdown() hook and set onEnter prop to
onEnter={closeDropDown()} using dropdownID
EDIT from @charlesBochet after refactoring:
- ObjectDropdownFilters are used in 3 places: Main Filter menu,
EditableChip, AdvancedFilters
- deprecate vectorSearch in view filter area, we are not using them, we
are doing a anyField filter now. While refactoring the points below, I
did not want to maintain vectorSearch as it was not used anymore
- stop confusing the dropdownId (which is an id to interact with a
specific dropdown) and componentInstanceIds (which is used to scope
component states) for EditableFilter case
- I haven't fixed the confusion for MainFilter case
- It was already handled for AdvancedFilter case
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Co-authored-by: Lucas Bordeau <bordeau.lucas@gmail.com>
Title: "feat: Add second, minute & hour resolution options to relative
date Filter action"
---
## Summary
This PR enables support for smaller time units — **Seconds, Minutes, and
Hours** — in the *Relative Date* filter used in workflows, rather than
being limited to days only.
---
## What Changed
This PR extends the relative date filter to include support for the
following units:
✔️ `SECOND`
✔️ `MINUTE`
✔️ `HOUR`
✔️ (Existing: `DAY`, `WEEK`, `MONTH`, etc.)
Changes include:
- Adding `SECOND`, `MINUTE`, and `HOUR` options to the internal relative
date unit enum/constant.
- Updating utility functions and parsers to correctly interpret and
evaluate these new units.
- Enhancing existing tests and adding new tests to cover second, minute,
and hour relative filters.
---
## Testing
New and updated tests include:
- Unit tests for serialization of relative filter values including
seconds, minutes, and hours.
- Workflow filter evaluation tests that verify minute/hour resolution
behaves correctly.
Tests are included in the changeset.
---
## Backward Compatibility
This change is fully backward compatible:
- All existing relative date filters using days or larger units behave
exactly as before.
- Adding finer units does not alter existing stored data or workflow
definitions.
---
## Issue Reference
Fixes: **twentyhq/twenty#15525**
<img width="1909" height="896" alt="image"
src="https://github.com/user-attachments/assets/328d03dc-ca0b-4c3f-84e5-58961c178398"
/>
---------
Co-authored-by: Guillim <guillim@users.noreply.github.com>
Co-authored-by: guillim <guigloo@msn.com>
**What this fixes:**
- Addresses a CodeQL security finding: the regex used to find variables
in workflow strings could be slow on malicious inputs (ReDoS).
- Two alerts: [Code Scanning
181](https://github.com/twentyhq/twenty/security/code-scanning/181) and
[Code Scanning
182](https://github.com/twentyhq/twenty/security/code-scanning/182)
**Context:**
- Our workflow system lets users insert variables like `{{user.name}}`
or `{{trigger.properties.after.name}}` into strings and JSON (HTTP
request bodies, record field values, etc.).
- The `variable-resolver.ts` module scans these strings and replaces
variables with actual values.
- Our validation (`isValidVariable`) already enforces that variables
contain no `{` or `}` inside them (only simple property paths like
`user.name`).
**The change:**
- Updated the regex from `/\{\{(.*?)\}\}/g` to `/\{\{([^{}]+)\}\}/g` to
match our validation pattern.
- This removes the ReDoS risk and aligns the resolver with the
validation contract.
**Why this is safe:**
- All supported workflow usage (simple variable paths) continues to
work.
- Both `match` and `replace` behave the same for valid variables.
- Only unsupported patterns with nested braces (e.g., `{{foo {bar}}}`)
would stop matching, which isn't part of our supported syntax anyway.
