@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.
## Overview
This PR replaces the dynamic agent handoff system with a more
predictable planning-based router that decides upfront how to handle
multi-agent coordination.
## Major Changes
### 🔄 Architecture Shift: Handoffs → Planning
**Removed:**
- `AgentHandoffEntity` and handoff tracking system
- `AgentHandoffService` and `AgentHandoffExecutorService`
- Dynamic agent-to-agent transfers during execution
- Handoff tool generation and description templates
**Added:**
- `AiRouterService` with two strategies: `simple` (single agent) and
`planned` (multi-agent)
- `AgentPlanExecutorService` for executing multi-step plans
- Plan validation (cycle detection, dependency resolution)
- `UnifiedRouterResult` type with discriminated union
### 🤖 New Standard Agents
Added two new specialized agents:
- **Researcher Agent**: Web search, fact-finding, competitive
intelligence
- **Code Agent**: TypeScript function generation for serverless
workflows
### 🏗️ Router Refactoring (Latest)
Split router responsibilities into focused services:
- `AiRouterStrategyDeciderService`: Decides simple vs planned strategy
- `AiRouterPlanGeneratorService`: Generates and validates execution
plans
- `AiRouterService`: Coordinates between services (reduced from 426→275
lines)
### ⚙️ Configuration Improvements
- Added `outputStrategy` to agent definitions (`direct` vs `synthesize`)
- Removed hardcoded special cases for workflow-builder
- Added `plannerModel` field to workspace entity
- Increased `MAX_STEPS` from 10 to 25 for complex workflows
### 📝 Agent Prompt Refinements
Significantly simplified prompts for better clarity:
- Workflow Builder: 51→36 lines
- Helper: 49→28 lines
- Data Manipulator: Enhanced with sorting guidance
### 🔍 Enhanced Debugging
- Plan reasoning and step count in data message parts
- Router debug info with token usage tracking
- Better logging throughout execution pipeline
## Benefits
1. **Simpler Mental Model**: Router decides upfront vs dynamic transfers
2. **Better Predictability**: Users see the plan before execution
3. **Cleaner Architecture**: SRP with focused services
4. **Configuration Over Code**: Agent behavior via config, not hardcoded
logic
5. **Plan Validation**: Catches invalid dependencies and cycles
## Migration Notes
- Database migration removes `agentHandoff` table
- Adds `plannerModel` column to workspace table
- No API breaking changes (agent endpoints unchanged)
## Testing
- Integration tests updated to remove handoff dependencies
- Agent tool test utilities simplified
- Plan validation covered by new logic
## Next Steps (Future PRs)
- Parallel execution of independent plan steps
- Dynamic re-planning based on results
- Plan caching for common routing patterns
- Error recovery strategies in plan executor
Block users from creating NUMERIC, POSITION, and TS_VECTOR fields via
the API as these are system-only types. Users should use NUMBER instead
of NUMERIC.
/closes #16023
## Context
Deprecating legacy ObjectMetadata from cache in favor of flat entities.
Introducing utils to build byName/byNameSingular/byNamePlural in
isolated cases
## Next
- I had to introduce a util to build from flat to legacy
objectMetadataMaps, we should instead use flat maps directly when needed
(datasource, schema generation, etc)
- Deprecate metadata version in the cache
- Use the new cache strategy for flat entities with permissions and
feature flags and inject in the global datasource context
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
# Introduction
Related https://github.com/twentyhq/twenty/issues/15846
The root cause is that universalIdentifier is still optional in database
and fallbacked when extracted out of database to standardId. But all
`BaseWorkspaceEntity` and `CustomWorkspaceEntity` share the same
standardId for their default standard fields `createdAt` `deletedAt`
resulting in such compare result in dispatcher
```ts
{
"initialDispatcher": {
"createdFlatEntityMaps": {
"byId": {},
"idByUniversalIdentifier": {},
"universalIdentifiersByApplicationId": {}
},
"deletedFlatEntityMaps": {
"byId": {},
"idByUniversalIdentifier": {},
"universalIdentifiersByApplicationId": {}
},
"updatedFlatEntityMaps": {
"byId": {
"55e1568c-eb87-4b8a-9f1b-19bbf6042f3e": {
"updates": [
{
"from": "Deletion date",
"to": "Date when the record was deleted",
"property": "description"
},
{
"from": "IconCalendarClock",
"to": "IconCalendarMinus",
"property": "icon"
},
{
"from": false,
"to": true,
"property": "isLabelSyncedWithName"
},
{
"from": null,
"to": {
"displayFormat": "RELATIVE"
},
"property": "settings"
}
]
}
}
}
},
"fromFlatEntity": {
"universalIdentifier": "20202020-b9a7-48d8-8387-b9a3090a50ec",
"applicationId": null,
"id": "9c97c8bf-1f64-463c-915c-f68f41d3cd60",
"standardId": "20202020-b9a7-48d8-8387-b9a3090a50ec",
"objectMetadataId": "e9565126-8351-457b-b003-3ea4c6d253bc",
"type": "DATE_TIME",
"name": "deletedAt",
"label": "Deleted at",
"defaultValue": null,
"description": "Deletion date",
"icon": "IconCalendarClock",
"standardOverrides": null,
"options": null,
"settings": null,
"isCustom": false,
"isActive": true,
"isSystem": false,
"isUIReadOnly": true,
"isNullable": true,
"isUnique": false,
"workspaceId": "20202020-1c25-4d02-bf25-6aeccf7ea419",
"isLabelSyncedWithName": false,
"relationTargetFieldMetadataId": null,
"relationTargetObjectMetadataId": null,
"morphId": null,
"createdAt": "2025-11-20T17:28:45.474Z",
"updatedAt": "2025-11-20T17:28:45.474Z",
"kanbanAggregateOperationViewIds": [],
"calendarViewIds": [],
"viewGroupIds": [],
"viewFieldIds": [],
"viewFilterIds": []
},
"toFlatEntity": {
"universalIdentifier": "20202020-b9a7-48d8-8387-b9a3090a50ec",
"applicationId": null,
"id": "55e1568c-eb87-4b8a-9f1b-19bbf6042f3e",
"standardId": "20202020-b9a7-48d8-8387-b9a3090a50ec",
"objectMetadataId": "37263f48-6858-4d28-a6e1-5f7321e49c24",
"type": "DATE_TIME",
"name": "deletedAt",
"label": "Deleted at",
"defaultValue": null,
"description": "Date when the record was deleted",
"icon": "IconCalendarMinus",
"standardOverrides": null,
"options": null,
"settings": {
"displayFormat": "RELATIVE"
},
"isCustom": false,
"isActive": true,
"isSystem": false,
"isUIReadOnly": true,
"isNullable": true,
"isUnique": false,
"workspaceId": "20202020-1c25-4d02-bf25-6aeccf7ea419",
"isLabelSyncedWithName": true,
"relationTargetFieldMetadataId": null,
"relationTargetObjectMetadataId": null,
"morphId": null,
"createdAt": "2025-11-20T17:28:44.267Z",
"updatedAt": "2025-11-21T17:17:55.057Z",
"kanbanAggregateOperationViewIds": [],
"calendarViewIds": [],
"viewGroupIds": [],
"viewFieldIds": [],
"viewFilterIds": []
}
}
```
## Impact
- This might be corrupting label and description of an other standard
field of an other object
- Race condition on latest universalIdentifier assigned in cache making
the update sometime accurate sometimes not
## Fix
Will be fixed by the in coming work on applicationId and
universalIdentifier as required in database + upgrade command that will
handle retro-comp. ( won't handle description corruption though, should
be anecdotical )
https://github.com/twentyhq/twenty/pull/15911 ( handling this only for
new workspace, retro comp upgrade command will be coming just after )
## PR scope
- Introduce TDD integration tests as failing
- Added unit test to critical methods that might have been involved in
the root cause ( still worth it to keep )
---------
Co-authored-by: guillim <guigloo@msn.com>
# Introduction
Cleaner and fewer scope version of
https://github.com/twentyhq/twenty/pull/15745 ( removed sync-metadata
hack through, too ambitious migration and upgrade )
Please note that this PR won't have any interaction with the existing
sync-metadata
Which mean that the sync metadata does not update the standard entities
applicationId and universalIdentifier, and it won't we will deprecate it
on favor of a workspace migration aka twenty-standard app installation
## API Metadata
Any operation going through the api metadata nows automatically scope
the related entity to the workspace custom application instance. (
optionally passing an applicationId to allow current hacky implem of app
sync service )
We need to either ignore the tests or remove the cli status check from
the blocking status badges for a PR to be merged
## New workspace
Already handled in previous
https://github.com/twentyhq/twenty/pull/15625, when a workspace is
created it gets created a twenty standard and custom workspace instance
All his views and permissions will be prefilled to the its twenty
standard app instance with a specific universalIdentifier
## New universalIdentifier
At the contrary as before with standardIds, universalIdentifier are
unique for a given workspace
This means that createdAt field of both object company and opportunity
will have a unique universalIdentifier whereas they share the same
standardId
## FlatApplication
Introduced the flatApplication and cache. Will migrate existing
`MetadataName` to be `SyncableMetadataName` in a following PR
## What's next
Next we will describe a twenty standard app configuration as json that
will be used to generate a workspace migration that will be run instead
of the sync metadata, in a nutshell we aim to deprecated the sync
metadata
So we can standardize any entity to have a non nullable applicationId
and universalIdentifier
## Upgrade command
Introduced an upgrade command that will create a custom workspace
instance for any workspace that do not have one in order to align with
the new behavior when creating a new workspace
UpdateOne of a Relation that involves a CustomObject, because the
nameSingular needs to be updated in the fieldMetadata
- nameSingular and namePlural must be provided since they are necessary
for morph name computation
- label sync should be false
Interesting files to look at:
-
packages/twenty-server/src/engine/metadata-modules/object-metadata/utils/build-default-relation-flat-field-metadatas-for-custom-object.util.ts
- UPDATE =>
packages/twenty-server/src/engine/metadata-modules/flat-object-metadata/utils/rename-related-morph-field-on-object-names-update.util.ts
( also update relation indexes ) needs v2 refactor to handle field
relation name update
- CREATE =>
packages/twenty-server/src/engine/metadata-modules/object-metadata/utils/build-default-relation-flat-field-metadatas-for-custom-object.util.ts
( handle morph instead of previous classic relation )
- DELETE => DONE
Edit:
closes https://github.com/twentyhq/core-team-issues/issues/1897
---------
Co-authored-by: prastoin <paul@twenty.com>
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
## Summary
This PR adds configurable response format support for AI agents,
allowing them to return either plain text or structured JSON data based
on a defined schema.
## Key Features
### 1. Agent Response Format Configuration
- Added `AgentResponseFormat` type supporting:
- `text`: Returns plain text responses (default)
- `json`: Returns structured JSON based on defined schema
- New `AgentResponseSchema` type moved to `twenty-shared/ai` for sharing
between frontend/backend
### 2. Settings UI
- New `SettingsAgentResponseFormat` component for configuring response
format
- Visual schema builder for defining JSON output structure
- Real-time validation and preview
- Integrated into agent settings tab
### 3. Workflow Integration
- AI Agent workflow action automatically uses agent's configured
response format
- Output schema dynamically generated from agent's response format
- Workflow variable picker shows structured fields for JSON responses
- Backward compatible with existing text-only agents
### 4. Backend Implementation
- Added `convertAgentSchemaToZod` utility to validate JSON responses
- Agent executor service handles both text and JSON generation
- Automatic agent creation/cloning when adding AI agent steps to
workflows
- Unique agent naming with conflict resolution
### 5. Database Migration
- Migration `1763622159656-update-agent-response-format.ts`
- Sets default `responseFormat` to `{"type":"text"}` for existing agents
- Updated all standard agents with proper response format
## Changes by Module
### Frontend (`twenty-front`)
- 🆕 `AgentResponseFormat` type
- 🆕 `SettingsAgentResponseFormat` component
- ✏️ Updated `WorkflowEditActionAiAgent` to support response format
configuration
- 🗑️ Removed deprecated `useAiAgentOutputSchema` hook and
`AiAgentOutputSchema` type
### Backend (`twenty-server`)
- 🆕 `AgentResponseFormat` type in agent entity
- 🆕 `convertAgentSchemaToZod` utility for schema validation
- ✏️ Updated `AiAgentExecutorService` to handle both text and JSON
generation
- ✏️ Updated `WorkflowSchemaWorkspaceService` to generate output schema
from agent config
- ✏️ Enhanced `WorkflowVersionStepOperationsWorkspaceService` with agent
creation/cloning
- 🆕 Agent naming constants for conflict resolution
### Shared (`twenty-shared`)
- 🆕 `AgentResponseSchema` type
- 🆕 `ModelConfiguration` type moved to shared package
- Updated exports in `ai/index.ts`
## Code Quality
- Removed useless comments following code style guidelines
- All linter checks passed
- Type-safe implementation with proper TypeScript types
## Testing
- ✅ Database migration tested
- ✅ Agent creation/cloning in workflows verified
- ✅ Response format switching (text ↔ JSON) validated
- ✅ Backward compatibility with existing agents confirmed
## Migration Notes
- Existing agents will have `responseFormat: {type: 'text'}` set
automatically
- No breaking changes - all existing functionality preserved
- Agents can be updated to use JSON format through settings UI
# Introduction
Fixes https://github.com/twentyhq/private-issues/issues/371
We weren't strictly validating relation field collision on join column
name availability of the target field object
## Refactor
Extracted morph or relation specific condition out of the common flat
field metadata name validate availability to be located in the dedicated
morph or relation flat field validator
## Tests
Added two tests, ONE_TO_MANY and MANY_TO_ONE in order to cover the use
case
Closes https://github.com/twentyhq/core-team-issues/issues/1600.
Two remarks
- This `limit` variable does not reduce postgre's work at it still needs
to scan the whole table. It did not seem possible to me to optimize this
as we cannot foresee which dimensions will be used by the user, and an
optimization could only result from an index on the dimension(s) (e.g.:
group companies by addressCity limit 50 can be optimized if we have an
index on companies.addressCity + we had a default orderBy on
adressCity). But this will still optimize the FE which at the moment
receives all groups and truncates the result.
- I have not done the work on the FE as the addition of limit is a
breaking change, and will break until the workspaces' schema is rebuilt,
so we need to flush the cache. I think this could be acceptable as the
feature is in the lab but I preferred not doing it yet as it would have
no impact since in the BE I added a default limit to 50 groups, and I
expect more FE work will be done to allow the user to choose their own
limit
# Introduction
Remove the v2 feature flag for view-field field-metadata and
object-metadata metadata entities
## Some details
- Disabled nestjs-query for object metadata creation and explicitly
calling it
- removed all v1 integration tests files
## Remarks
Not remove v2 referencing in both filenaming right now will handle that
globally later
## Breaking change
Due to object metadata resolver createOne standardization had to rename
the input from `CreateObjectInput` to `CreateOneObjectInput`
# Introduction
While removing the v1 https://github.com/twentyhq/twenty/pull/15823 I've
encountered the method `objectMetadataService.deleteObjectsMetadata`
that I didn't wanted to migrate as it is and if it's not challenging its
existence legitimacy.
## Motivations
In a nutshell on a workspace deletion object metadata and field metadata
cascading deletion is correclty handled
But that's not the case for all of a workspaces entities ( roles,
workspaceMigrations ) I suspect that we did not defined the foreignKey
explicitly through `typeorm`
## Battle testing v2
I still decided to give a try to a complex operation in the v2 such as a
workspace all object metadata deletion.
Spoiler it failed due to object being interdependent between them and
not being topologically sorted ( morph relation can introduce circular
dep anw ).
Note: Even after removing the delete field on delete object aggregator
we end up with an equivalent circular dep error which an object and its
field metadata identifier connection.
## Elegant `DEFERRED` and `DEFERRABLE` foreign keys
The most safe, low level solution would be to make all field relations
deferrable and start the runner transaction as deferred. But this
requires a quite invasive migration of existing FK
## On cascade solution
I've opted for the quick fix, on object or field deletion spread
cacasde.
It's pretty safe as the builder priorly validates the deletion and and
its related entities integrity
Only for both field and object deletion action types in v2 runner
## Integration coverage
Added a test that will scan a new workspace database core schema tables
and expect now result after workspace deletion through its only user
deletion
# Introduction
related to https://github.com/twentyhq/core-team-issues/issues/1833
In this PR we're starting the sync-metadata and standardIds deprecation
by introducing `twenty-standard` application that will regroup every
standard object such as company and opportunities. But also the
`custom-workspace-application` which is an app created at the same time
as a workspace and that will regroup everything configure within the
workspace ( custom objects fields etc )
## What's done
On both new workspace and seeded workspace creation:
- Creating a custom workspace app
- Creating a twenty standard app
- Refactored the seed core schema and workspace creation to be run
within a transaction in order to handle circular dependency foreignkey
requirements ( which is deferred for app toward workspace )
- Updated workspace entity to have a custom workspace relation (
nullable for the moment until we implem an upgrade command to handle
retro comp )
- Integration testing on user, workspace creation deletion and expected
default apps creation
- ~~Soft deleted user on `deleteUser`~~ Done by marie and rebased on it
## What's next
- Update seeder to propagate the `twenty-standard` workspace
`applicationId` to every standard synchronized entities ( cheap and fast
iteration through the about to be deprecated sync-metadata as an easy
way to synchronize standards metadata entities ).
- Update seeder to propagate the `custom-workspace-application`
workspace `applicationId` to anything custom ( `pets` and `rockets` )
- Prepend `custom-workspace-application` `applicationId` to every
metadata API operations ( create a specific cache etc )
- Upgrade command on all existing workspace to create a custom app and
associate its applicationId to any existing custom entities
- Make `universalIdentifier` and `applicationId` required for any
syncable entity
## Overview
This PR strengthens our permission system by introducing more granular
role-based access control across the platform.
## Changes
### New Permissions Added
- **Applications** - Control who can install and manage applications
- **Layouts** - Control who can customize page layouts and UI structure
- **AI** - Control access to AI features and agents
- **Upload File** - Separate permission for file uploads
- **Download File** - Separate permission for file downloads (frontend
visibility)
### Security Enhancements
- Implemented whitelist-based validation for workspace field updates
- Added explicit permission guards to core entity resolvers
- Enhanced ESLint rule to enforce permission checks on all mutations
- Created `CustomPermissionGuard` and `NoPermissionGuard` for better
code documentation
### Affected Components
- Core entity resolvers: webhooks, files, domains, applications,
layouts, postgres credentials
- Workspace update mutations now use whitelist validation
- Settings UI updated with new permission controls
### Developer Experience
- ESLint now catches missing permission guards during development
- Explicit guard markers make permission requirements clear in code
review
- Comprehensive test coverage for new permission logic
## Testing
- ✅ All TypeScript type checks pass
- ✅ ESLint validation passes
- ✅ New permission guards properly enforced
- ✅ Frontend UI displays new permissions correctly
## Migration Notes
Existing workspaces will need to assign the new permissions to roles as
needed. By default, all new permissions are set to `false` for non-admin
roles.
**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
# Introduction
When creating a view with v2 flag activated in production result in race
condition due to request being slow and //.
That's why we're introducing a batch create on view field here
closing https://github.com/twentyhq/core-team-issues/issues/1836
## In v2
- batch create view field endpoint is available
- frontend will target the new endpoint
## In v1
- batch create view field endpoint is not available
- frontend will stick to old fake batch view field creation loop
## Polish
- use persist view field is quite verbose as contains two data model we
could aim to create an update many view fields in order to standardize
new pattern
changes -
- make iframe side panel to match others -- ie use SidePanelHeader for
title
- make url optional in configuration to match that of the other widgets
(allow partial saves) - render No data status when error or no url
- split widget sizes into two -- graph widget sizes and widget sizes
(graph widgets are a subset of chart widgets)
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>
groupBy fix: when a group's dimension value is NULL, we need to adapt
the raw sql (stage: NULL -> stage IS NULL)
typeMapper fix: a graphql type should be made non-nullable if was
indicated so + does not have a default value. our check on not having a
default value was limited to having a null defaultValue instead of
having a null or undefined defaultValue. This is a breaking change, but
all the queries that were providing a null value for these args were not
functioning anyway, and luckily in the FE we declared all queries adding
a `!` already.
# Introduction
Initially wanted to reactive the test introduced in
https://github.com/twentyhq/twenty/pull/15393, that was failing because
of direct data source access removing all views ( even seeded one )
which was making the test fail
While doing so discovered a lot of issue with the rest API:
- Rest api wasn't consuming the v2 at all
- Rest api wasn't prepared to handle v2 exceptions
- Rest api did not handled unknown exceptions ( timeout )
Refactored the cleanup of each test to follow black box pattern and
avoid test leakage
To be done in an other PR, move graphql-query-runner handlers in
common-api-query-runner folder (+ renaming + typing improvments)
Fixes :
- totalCount on findMany (Rest)
- getAllSelectedFields did not handle composite field (Rest)
- issue with endCursor (Rest)
- args processing for updateOne and createOne (Rest + Gql)
- fix findDuplicates (Gql)
# Introduction
A while ago we migrated view from workspace to metadata
Their standard objects workspace entities declaration remained we can
now remove them
## Deprecating commands before 1.5
The view migration command from workspace to metadata was introduced in
`1.5.0`. Removing the `baseWorkspaceEntity` make this command obsolete.
If tomorrow twenty handles auto upgrade in latest and a user having an
instance in `1.3.0` starts auto-upgrading he won't be able to migrate
his views ( that's why we should not support upgrade before 1.5 anymore
here )
We will have the same use case with FavoritesFolders
# Introduction
Fixing self relation field creation in v2
- When computing related flat field to delete on object metadata
deletion that has self relation fields
- On self relation creation validation name availability not searching
for the relation target field of the current object field if it's the
field being validated
## Coverage
- added CUD integration testing on self relation fields
close https://github.com/twentyhq/twenty/issues/15153
# Introduction
Fixing composite field update by computing field column type for each of
its properties instead of globally
## Coverage
Added integration tests for each composite field on both successful
`create` and `update`
```ts
Test Suites: 17 passed, 17 total
Tests: 104 passed, 104 total
Snapshots: 14 passed, 14 total
Time: 135.431 s, estimated 143 s
```
## Conlusion
Related to https://github.com/twentyhq/core-team-issues/issues/1753
