# Introduction
Related to https://github.com/twentyhq/core-team-issues/issues/1995
This PR introduces the basis of the `twentyStandard` application as code
on demand, it's highly tied to `ids` where it will becomes workspace
agnostic following the builder and runner `universalIdentifier` refactor
later.
The goal here to allow computing the `allFlatEntityMaps` `to` of the
`twentyStandard` application on a empty workspace ( workspace creation
). Allowing installing the twenty standard app through a workspace
migration instead of passing by the sync metadata
Nothing done will be run in production for the moment if it's not the
small validation refactor we've introduced
Please note that everything introduced here will be replaced at some
point by a twenty app instance when the twenty sdk is mature enough to
handle of the edge cases we need here
## How we've proceeded
We've been iterating over every workspace entity both objects and their
fields, and transpiled them to flatEntity.
Being sure we migrate the defaultValue, settings and so on accordingly.
We've also compute all the ids in prior of the whole entities
computation so we don't face any hoisting issue.
## Current state
At the moment only handling all of the 29 standard objects and their
fields
Settings a unique universalIdentifier for all of them
Will come views, agent role targets and so on later
## `workspace:compute-twenty-standard-migration` command
This command allow generating a workspace migration that will result in
installing the twenty standard app in an empty workspace
It's temporary and aims to allow debugging for the moment we might not
keep it in the future as it is right now
It contains debug writeFileSync which is expected no worries greptile
## `LabelFieldMetadataIdentifierId`
Small refactor allowing defining the label identifier field metadata id
of a uuid field metadata type for system object, as some of our standard
object don't have a name field and don't aim to
Also please note that we might remove this build options later in the
sake of the currently installed universal identifier application that we
could compare with the deterministic twenty standard one
## `runFlatFieldMetadataValidators`
Deprecated this pattern which was redundant and not v2 friendly pattern
## Current errors that will address in upcoming PR
Current standard objects and fields metadata does not pass the
validation that we have in place, as historically the sync metadata
would directly consume the repositories and would just ignore the
validation. This is about to change.
Will handle the below errors in dedicated PRs as they will required
upgrade commands in order to migrate the data, or will handle that from
the sync metadata instead still to be determined but nothing critical
here
- camel case field metadata name
- options label invalid format
```json
{
"status": "fail",
"report": {
"fieldMetadata": [
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Name should be in camelCase",
"userFriendlyMessage": {
"id": "P+jdmX",
"message": "Name should be in camelCase"
},
"value": "iCalUID"
}
],
"flatEntityMinimalInformation": {
"id": "68dd83cd-92c8-4233-bb28-47939bab6124",
"name": "iCalUID",
"objectMetadataId": "11c16ab6-9176-439e-a2db-a12c5a58a524"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"email\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "email"
}
},
"value": "email"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"sms\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "sms"
}
},
"value": "sms"
}
],
"flatEntityMinimalInformation": {
"id": "e3caaf2a-e07d-4146-8dfc-9eef904e82c9",
"name": "type",
"objectMetadataId": "4b777de5-4c7b-4af4-9b92-655c0f87512b"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"incoming\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "incoming"
}
},
"value": "incoming"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"outgoing\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "outgoing"
}
},
"value": "outgoing"
}
],
"flatEntityMinimalInformation": {
"id": "d96233a4-93be-45ea-9548-3b50f3c700cf",
"name": "direction",
"objectMetadataId": "480a648a-d2e5-482a-992f-ef053e1b4bb0"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"from\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "from"
}
},
"value": "from"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"to\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "to"
}
},
"value": "to"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"cc\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "cc"
}
},
"value": "cc"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"bcc\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "bcc"
}
},
"value": "bcc"
}
],
"flatEntityMinimalInformation": {
"id": "961c598e-67c3-452d-8bb2-b92c0bc64404",
"name": "role",
"objectMetadataId": "8af8a13c-ff97-4cd3-b70d-52a7dc2924b4"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Label must not contain a comma",
"userFriendlyMessage": {
"id": "k731jp",
"message": "Label must not contain a comma"
},
"value": "Commas and dot (1,234.56)"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Label must not contain a comma",
"userFriendlyMessage": {
"id": "k731jp",
"message": "Label must not contain a comma"
},
"value": "Spaces and comma (1 234,56)"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Label must not contain a comma",
"userFriendlyMessage": {
"id": "k731jp",
"message": "Label must not contain a comma"
},
"value": "Dots and comma (1.234,56)"
}
],
"flatEntityMinimalInformation": {
"id": "7fa20caf-2597-42e3-84e5-15a91b125b9b",
"name": "numberFormat",
"objectMetadataId": "a6974302-9e72-461c-aa09-9390f4ff16fc"
},
"type": "create_field"
}
],
"objectMetadata": [],
"view": [],
"viewField": [],
"viewGroup": [],
"index": [],
"serverlessFunction": [],
"cronTrigger": [],
"databaseEventTrigger": [],
"routeTrigger": [],
"viewFilter": [],
"role": [],
"roleTarget": [],
"agent": []
}
}
```
# Introduction
Migrating `pageLayoutTab` to the v2 engine
- Types and constants
- Builder and validate
- Runner
Introduced a new `StrictSyncableEntity` that enforces that
`universalIdentifier` and `applicationId` are defined
As these entities are brand new we could enforce this rule already
This still requires a migration command to associate the existing
entities to custom workspace application instance and define
universalIdentifier
Handled retro-comp of the migration through a migration as upgrade
command fallback
---------
Co-authored-by: bosiraphael <raphael.bosi@gmail.com>
Validations :
- relations count (in common api)
- oneToMany relation nested count (in common)
- requested fields count (in gql)
- root resolver count (in gql)
- root resolver duplicates (in gql)
- specific complexity for metadata / nesting count (in gql)
Fixes a regression on seeding introduced by
https://github.com/twentyhq/twenty/pull/16296.
In the seeding process an async function was used without awaiting. This
caused all the seeded configs to be empty.
Note: The need to await is because `transformRichTextV2Value` is async
due to `const { ServerBlockNoteEditor } = await
import('@blocknote/server-util');`. @etiennejouan do you know why is it
done this way? Is it to reduce bundle size? Would it be possible to
create another util which is not async and which imports
`@blocknote/server-util` at the top?
## Context
Call to incrementMetadataVersion is only done in sync-metadata (to be
deprecated) and migration runner v2. They both already invalidate the
cache so we were doing it twice which is quite heavy with all the
object/field/view/etc maps in it.
pipeline.exec() is a a blocking operation which means if we want to
write a large chunk of data (or many maps in our case) it will block
write operations and impact performances.
We prefer to simply call set multiple times in a promise.all, this is an
acceptable tradeoff
In this PR, we are adding a new command to reset a message channel.
We are also refactoring a bit cursor reset as we had multiple
implementations at different places in the code base
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
fixes https://github.com/twentyhq/twenty/issues/16270
It happens with api user only.
Integration tests were ok because we expect a returned empty string
(check in test) even if null value is expected in db (not test). How can
we improve this ?
This is a temporary fix that needs to be revisited.
It seems that with the new enqueue system we are enqueuing jobs multiple
times due to race condition. We likely want to only consider job that
have been created more than x secs ago
## Problem
buildEntityMetadatas in GlobalWorkspaceOrmManager is computationally
expensive and was running on every executeInWorkspaceContext call. This
method uses
TypeORM's EntitySchemaTransformer and EntityMetadataBuilder to build
metadata for all workspace entities (30-50+ objects with many fields
each).
The resulting EntityMetadata[] is not serialisable which means it cannot
be cached in Redis because they contain:
- Circular references
- Functions/methods
- References to the DataSource instance
## Solution
Extended the workspace cache system to support local-only caching, then
created a cache provider for entityMetadatas.
## Implementation details
Updated @WorkspaceCache decorator (workspace-cache.decorator.ts)
- Added localOnly?: boolean option to skip Redis storage for
non-serializable data
Created WorkspaceEntityMetadatasCacheService
- Computes entity metadatas from DB to avoid race condition, this is
acceptable
Simplified GlobalWorkspaceOrmManager
- Now fetches entityMetadatas from cache instead of rebuilding on every
call
Updated Workspace migration runner - the only entry point where metadata
can change
- Now invalidate the new 'entityMetadata' local cache when
shouldIncrementMetadataGraphqlSchemaVersion is true (== field/object
mutations)
# Introduction
On production facing a migration error with
UpdateRoleTargetsUniqueConstraint1764329720503
```ts
Migration "UpdateRoleTargetsUniqueConstraint1764329720503" failed, error: could not create unique index "IDX_ROLE_TARGETS_UNIQUE_AGENT"
query: ROLLBACK
Error during migration run:
QueryFailedError: could not create unique index "IDX_ROLE_TARGETS_UNIQUE_AGENT"
at PostgresQueryRunner.query (/Users/paulrastoin/ws/twenty/node_modules/typeorm/driver/postgres/PostgresQueryRunner.js:219:19)
at process.processTicksAndRejections (node:internal/process/task_queues:105:5)
at async UpdateRoleTargetsUniqueConstraint1764329720503.up (/Users/paulrastoin/ws/twenty/packages/twenty-server/dist/database/typeorm/core/migrations/common/1764329720503-update-role-targets-unique-constraint.js:15:9)
at async MigrationExecutor.executePendingMigrations (/Users/paulrastoin/ws/twenty/node_modules/typeorm/migration/MigrationExecutor.js:225:17)
at async DataSource.runMigrations (/Users/paulrastoin/ws/twenty/node_modules/typeorm/data-source/DataSource.js:265:35)
at async Object.handler (/Users/paulrastoin/ws/twenty/node_modules/typeorm/commands/MigrationRunCommand.js:68:13) {
query: 'ALTER TABLE "core"."roleTargets" ADD CONSTRAINT "IDX_ROLE_TARGETS_UNIQUE_AGENT" UNIQUE ("workspaceId", "agentId")',
parameters: undefined,
driverError: error: could not create unique index "IDX_ROLE_TARGETS_UNIQUE_AGENT"
at /Users/paulrastoin/ws/twenty/node_modules/pg/lib/client.js:526:17
at process.processTicksAndRejections (node:internal/process/task_queues:105:5)
at async PostgresQueryRunner.query (/Users/paulrastoin/ws/twenty/node_modules/typeorm/driver/postgres/PostgresQueryRunner.js:184:25)
at async UpdateRoleTargetsUniqueConstraint1764329720503.up (/Users/paulrastoin/ws/twenty/packages/twenty-server/dist/database/typeorm/core/migrations/common/1764329720503-update-role-targets-unique-constraint.js:15:9)
at async MigrationExecutor.executePendingMigrations (/Users/paulrastoin/ws/twenty/node_modules/typeorm/migration/MigrationExecutor.js:225:17)
at async DataSource.runMigrations (/Users/paulrastoin/ws/twenty/node_modules/typeorm/data-source/DataSource.js:265:35)
at async Object.handler (/Users/paulrastoin/ws/twenty/node_modules/typeorm/commands/MigrationRunCommand.js:68:13) {
length: 314,
severity: 'ERROR',
code: '23505',
```
As several agent has duplicated role target in database
```sql
SELECT constraint_name, COUNT(*) AS duplicate_groups, SUM(duplicate_count - 1) AS rows_to_delete
FROM (
SELECT 'IDX_ROLE_TARGET_UNIQUE_API_KEY' AS constraint_name, COUNT(*) AS duplicate_count
FROM "core"."roleTargets" rt
WHERE rt."apiKeyId" IS NOT NULL
GROUP BY rt."workspaceId", rt."apiKeyId"
HAVING COUNT(*) > 1
UNION ALL
SELECT 'IDX_ROLE_TARGET_UNIQUE_AGENT', COUNT(*)
FROM "core"."roleTargets" rt
WHERE rt."agentId" IS NOT NULL
GROUP BY rt."workspaceId", rt."agentId"
HAVING COUNT(*) > 1
UNION ALL
SELECT 'IDX_ROLE_TARGET_UNIQUE_USER_WORKSPACE', COUNT(*)
FROM "core"."roleTargets" rt
WHERE rt."userWorkspaceId" IS NOT NULL
GROUP BY rt."workspaceId", rt."userWorkspaceId"
HAVING COUNT(*) > 1
) AS all_duplicates
GROUP BY constraint_name;
```
with constraint name, duplicated_groups, row_to_delete
`IDX_ROLE_TARGET_UNIQUE_AGENT 2507 7229`
Please note that only active or suspended workspaces contains duplicated
role target
## Fix
Introduced an upgrade command that will only keep the latest inserted
role target
Swallowing migration error on typeorm atomic migration ( still required
for self host new instances etc )
```ts
[Nest] 91886 - 12/03/2025, 2:56:28 PM LOG [DeduplicateRoleTargetsCommand] Running command on workspace SOME_WORKSPACE_ID 2587/2587
flatFieldMetadataMaps,flatIndexMaps,flatObjectMetadataMaps out of 298
query: SELECT version();
[Nest] 91886 - 12/03/2025, 2:56:29 PM LOG [DeduplicateRoleTargetsCommand] Command completed!
```
## Test
Tested through an extract in local, tested both the upgrade command and
the swallowed migration
test
## Description
When switching a view's visibility from WORKSPACE to UNLISTED, the code
in `view-v2.service.ts` correctly sets `createdByUserWorkspaceId` to the
current user (to prevent the view from disappearing). However, this
property was not included in `FLAT_VIEW_EDITABLE_PROPERTIES`, which
meant:
1. The comparison logic didn't detect the change
2. No update action was created for the property
3. The value was never persisted to the database
4. The view disappeared because it became UNLISTED with no owner
This fix adds `createdByUserWorkspaceId` to the editable properties so
the change is properly detected and persisted.
Might fix https://github.com/twentyhq/twenty/issues/15955
# Introduction
Closes https://github.com/twentyhq/core-team-issues/issues/1980
In this PR we migrate the agent from v1 to v2.
## New FlatRoleTargetByAgentIdMaps
Derivated the `flatRoleTargetMaps` to be building a
`flatRoleTargetByAgentIdMaps` to ease retrieving a roleId to associate
to an agent
## Coverage
Added strong coverage on both failing and successful CRU agents
operations
---------
Co-authored-by: Weiko <corentin@twenty.com>
- if >5000 workflows per hour, new ones should failed
- if >100 workflow per min, new ones should be set as not started.
Except manual trigger
- when enqueued, we check if there a not started workflows that may be
queued. If yes, we call the associated job
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
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>
Because of [this code I forget to
clean](https://github.com/twentyhq/twenty/pull/16217),
- __workspace created between 1.12.0 and 1.12.2 (from friday 28 nov PM >
monday 1 dec PM)__ have standard objects with empty string default value
set on related TEXT type column (but default value null on field
metadata) (ex: jobTitle on person)
- __custom objects created between 1.12.0 and 1.12.2 (from friday 28 nov
PM > monday 1 dec PM)__ have "name" TEXT field with empty string default
value set + NOT NULL constraint on column
Command cleans data and updates table structure
This PR improves the general UX and DX of boards, by modifying the query
effect to only use paged group by queries.
In this PR we implement two more things in the backend for group by
queries :
- Fixed ORDER BY in the PARTITION BY sub-query (this wasn't working
because it was applied in the main query, so it sorted randomly picked
records, which was a correct sort on an incorrect dataset returned by
the sub-query)
- Added offset paging in PARTITION BY
Miscellaneous, various bug fixes and improvements along the way :
- Throttled loading of cards to avoid React freeze
- Handling of drag & drop
- Handling of create / delete / update
- Reworked skeleton (the library slows down a lot with hundreds of
skeleton for a spinning effect that is hardly noticed)
- Fixed refetch of aggregate queries (I included the new group by
aggregates query we use in the existing refetch mechanism)
- Re-trigger queries on filters and sorts changes
- Unselect all record ids when deleting / restoring / detroying
- Fetch only groups that still have records to lighten the group by
query.
# What remains to be done
This is still a naïve fetch more implementation that will work for a few
fetch more rounds, but if you scroll and load say 200 cards per column
on a board, React will re-render all 200 cards of each column each time.
We would probably need to virtualize the board with paged queries as we
did for the table, this could be done after this PR but seems less
urgent.
What's nice is that this new query pattern is well designed for
virtualization also, drawing from our experience with table
virtualization, and adapted to a multi-column request pattern, like a
2:2 matrix of records, for our boards.
So the remaining work would be to design a UI solution for virtualizing
this matrix of records, which could be quite different from our table
virtualization mechanism.
## Context
We've recently introduced a new workspace cache service which now acts
as a cache access and local storage for all workspace related data,
deprecating the individual specific services.
- Better performance through multiple caching/fetching strategies
- Consistent data access patterns across the codebase
- Reduced redis queries through MGET/MSET/PIPELINE with multiple cache
keys
Félix Malfait