Closes#14726
### Added
- `trashRetentionDays` field to workspace entity (default: 14 days)
- Automated trash cleanup using BullMQ jobs
- Daily cron (00:10 UTC) that enqueues cleanup jobs for all active
workspaces
- Per-workspace limit: 100k records deleted per day
- Calendar-based retention: records deleted on day X are cleaned up X+14
days later (at midnight UTC boundaries)
### Architecture
- **Cron (WorkspaceTrashCleanupCronJob):** Runs daily, enqueues jobs in
parallel for all workspaces
- **Job (WorkspaceTrashCleanupJob):** Processes individual workspace
cleanup
- **Service (WorkspaceTrashCleanupService):** Discovers tables with
`deletedAt`, deletes old records with quota enforcement
- **Command:** `npx nx run twenty-server:command
cron:workspace:cleanup-trash` to register the cron
### Testing
- Unit tests for service with 100% coverage of public API
- Tested quota enforcement, error handling, and edge cases
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
## Problem
When trying to signup on localhost:3001 with a new random email, users
were getting an error message saying 'User already exists', even though
they were new users.
## Root Cause
The `signUpWithoutWorkspace` method in `sign-in-up.service.ts` had
inverted logic when checking if a user exists. It was using
`findUserByEmailOrThrow` which:
- **Returns the user** if found
- **Throws the provided error** if NOT found
This caused the opposite behavior:
- ❌ **New user (doesn't exist)**: Threw 'User already exists' error
- ❌ **Existing user**: Continued to create duplicate user
## Solution
Changed to use `findUserByEmail` and explicitly check if the user exists
before throwing the appropriate error:
```typescript
const existingUser = await this.userService.findUserByEmail(newUserParams.email);
if (existingUser) {
throw new AuthException(
'User already exist',
AuthExceptionCode.USER_ALREADY_EXIST,
{ userFriendlyMessage: msg`User already exists` },
);
}
```
This matches the correct pattern already used in `signUpInWorkspace`
(line 431-441 in auth.resolver.ts).
## Changes
- Fixed inverted logic in `signUpWithoutWorkspace` method
- Now correctly validates that user does NOT exist before creating new
user
- Matches the pattern used in `signUpInWorkspace`
## Testing
The fix corrects the logic so that:
- ✅ New users can sign up successfully
- ✅ Existing users get the correct 'User already exists' error
I did an acceptable design for empty node and iterators for release:
- use array field for iterator node. Added an util to stringify arrays
for backward compatibily
- remove icon for empty node
- allow to select a node on empty node selection
https://github.com/user-attachments/assets/b00037a8-aa1d-4784-b973-05973649b46e
This PR determines the minimal setup required to render dashboards
without errors while extracting them from the record show page. The
ultimate goal is to create a `PageLayoutRenderer` component that takes
any page layout configuration and correctly renders dashboards or record
pages.
Currently, the `DashboardCard` component renders itself the
`PageLayoutRenderer` component. The next step is to reverse the flow of
control and make `PageLayoutRenderer` take a configuration and decide
whether it should render a dashboard or something else.
This PR takes into consideration two comments left by Charles on [the
first PR scaffolding the
refactor](https://github.com/twentyhq/twenty/pull/15021): renaming
`targetRecord` to `targetRecordIdentifier` and adding tests to
`evaluateTabVisibility()`.
## Demo to assert this PR doesn't break everything
https://github.com/user-attachments/assets/b5b99cf3-08fa-43d3-8da1-79018bc63641
# Introduction
Adding view-group to core engine v2
Following https://github.com/twentyhq/twenty/pull/15010 ( same pattern )
## What's done
- Created flat-view-group
- flat view group runner
- flat view group builder
- create view group service v2 and input transpilers
- refactor the existing view group resolver to fix standard (
BREAKING_CHANGE on graphql api update especially ) REST stays the same
- refactored the front to consume the mutations autogenerated
close https://github.com/twentyhq/core-team-issues/issues/1665
To avoid huge workflows to block the worker, we will enqueue a new job
every 20 steps.
This could be more than 20 if there are branches but I think this is
fine, the goal is only to have a limit set.
Also cleaning a bit the code to mark running steps as failed when
workflow fails.
I tested it on a huge workflow:
https://github.com/user-attachments/assets/d7b8e345-d1a1-4467-96fd-92117b500120
When updating an active version, we :
- create a draft
- update the draft
Issue is that after the creation, workflow is shortly null. So the
component is re-rendered and the form data are lost.
Removing the check on the null allow to keep the form data.
# Introduction
After updating a `viewField` in a view the frontend receives a missmatch
metadata version.
That's because the `flatFieldMetadata` needs to be invalidated on a
viewField addition as it contains its primary key in its cache.
Before we would be checking updated flat entity maps, meaning that on a
view field update the flat field metadata maps would also get updated,
but we also invalidate the old v1 cache at the same time. Resuling in a
metadata version missmatch that's not really relevant for the gql schema
integrity
Now we only check if a object or field actions has been processed, if
yes increment the metadata version.
We should deco-relate the v1 object and fields cache from the metadata
version that should only serve as a "Please refresh browser state
because gql schema has mutated"
- Added readableFields for visible record field selector to take
permission into account
- Force refresh of table virtualization when updating view fields
Closes https://github.com/twentyhq/core-team-issues/issues/1563.
We now have two inter-group orderBy criteria: one on the aggregate
values, the other on the dimension values.
Ex: I am grouping companies by city and querying the average number of
employees for each group. I can either order the groups by the city
name, or by the average number of employees, or by one then the other.
I could actually also order groups by an aggregated value that I did not
ask for (ex: average ARR), but I cannot order groups by a field value I
did not group records by (ex: country).
[See discord
discussion](https://discord.com/channels/1130383047699738754/1425438213555753050/1425438223097921659)
An example of query variables:
```
{
"groupBy": [
{
"createdAt": {
"granularity": "QUARTER_OF_THE_YEAR"
}
},
{"city": true}
],
"orderBy": [
{
"aggregate": {
"avgEmployees": "DescNullsLast"
}
},
{
"aggregate": {
"percentyEmptyEmployees": "DescNullsLast"
}
},
{
"city": "AscNullsLast"
},
{
"createdAt": {
"orderBy": "AscNullsLast",
"granularity": "QUARTER_OF_THE_YEAR",
}
}
]
}
```
The aggregate orderBy criteria had already been implemented, but I
updated the implementation to add an "aggregate" key to prefix them, in
order to avoid confusion between the two + for the schema generation not
to break (otherwise we would have an issue when generating
OrderByWithGroupByInput if a user has created a field that has the same
name as an aggregate field, such as avgEmployees).
# Introduction
This PR introduces a huge type refactor that will leverage dynamic intra
entity optimistic flat maps update in the future and also a more
granular cache invalidation enhancing performances
close https://github.com/twentyhq/core-team-issues/issues/1717
close https://github.com/twentyhq/core-team-issues/issues/1716
close https://github.com/twentyhq/core-team-issues/issues/1643
## What's done
### Comparators centralization
Comparator is now done through global configuration as const for each
metadata names
Thanks to
Note:
Definition of standard is evolving, standard is now scoped to an app.
Meaning that a manifest should be able to update its own standards
objects but on other app standards ones ? Each synchronizable entities
will have a standardOverrides ?
## Typing refactor
### `AllFlatEntityTypesByMetadataName`
**Single source of truth for the complete type ecosystem**, mapping each
metadata name to its entity types, flat entities, and migration actions:
```typescript
export type AllFlatEntityTypesByMetadataName = {
fieldMetadata: {
actions: { created: CreateFieldAction; updated: UpdateFieldAction; deleted: DeleteFieldAction; };
flatEntity: FlatFieldMetadata;
entity: FieldMetadataEntity;
};
objectMetadata: { /* ... */ };
// ... all 10 metadata types
};
```
### `ALL_METADATA_NAME_MANY_TO_ONE_RELATIONS`
**Explicitly declares database relationships** between entities with
compile-time validation:
```typescript
export const ALL_METADATA_NAME_MANY_TO_ONE_RELATIONS = {
viewField: {
view: 'viewId',
fieldMetadata: 'fieldMetadataId',
},
cronTrigger: {
serverlessFunction: 'serverlessFunctionId',
},
// ... all relations
} as const satisfies MetadataNameAndRelations;
```
### `ALL_FLAT_ENTITY_CONFIGURATION`
**Centralizes comparison and serialization logic** for each metadata
type:
```typescript
export const ALL_FLAT_ENTITY_CONFIGURATION = {
fieldMetadata: {
propertiesToCompare: ['name', 'type', 'label', 'defaultValue', /* ... */],
propertiesToStringify: ['options', 'settings', 'defaultValue'],
},
objectMetadata: {
propertiesToCompare: ['nameSingular', 'namePlural', 'isActive', /* ... */],
propertiesToStringify: [],
},
// ... all metadata types
} as const satisfies AllFlatEntityConfiguration;
```
## Combined Impact
These three configurations work together to create a **strongly-typed,
centrally-managed metadata system**:
1. **`AllFlatEntityTypesByMetadataName`** defines *what exists*
2. **`ALL_METADATA_NAME_MANY_TO_ONE_RELATIONS`** defines *how they
relate*
3. **`ALL_FLAT_ENTITY_CONFIGURATION`** defines *how to compare and
serialize them*
**Result:** Builders and validators become thin wrappers around
type-safe, configuration-driven logic instead of containing scattered,
error-prone manual implementations.
## What's next
### StandardOverrides standardization
Every metadata entity can be a standard one for a workspace if it's an
installed app, which means it might not expose the whole entity api to
be editable through an import dynamically
The standard overrides logic should not be applied to Fields and Objects
but to every entities
At the moment we have a logic of `EDITABLE_PROPERTIES` through the api,
and also `STANDARD_OVERRIDEDABLE_PROPERTIES`
This should be configuration centered like `propertiesToCompare` and
`propertiesToStringify`.
Scoping this PR to two last for the moment. As update dispatch to
standardOverrides could be considered as a side effect prefer waiting to
start the side effect refactor
### Granular Optimistic deprecation
With this new grain at runtime we will be able to add a flat entity and
dispatch its addition to related flat maps, so we don't have to describe
an optimistic method for each flat entity operations
See `addFlatEntityToFlatEntityAndRelatedEntityMapsOrThrow`
Note: Still in wip and included in this PR but about to create a new one
to integrate these utils and remove existing methods
### ValidateBuildAndRun dynamic args typed defintion
We should restrain the devxp to send expected flat maps entity as at
least from to or dependency as we now have the grain both a type lvl and
runtime to do so
It should not be possible in the devxp to forgot adding the views to the
v2 builder when passing the view field anymore ( that would lead to
permanent validation error in view field integrity checks )
## Conclusion
Thanks for reading and reviewing !
Any suggestions are more than welcomed ! ( same as for questions too ! )
Made the command more explicit for idempotency.
- Drop index explicitly (even though PostgreSQL does it automatically
when a column is dropped, but it might be good practice to account for
any unforeseen failures).
- Drop column.
- Create column.
- Create index (if we reach this point, column has already been created
and no error was thrown).
Figured we do not need extra queries to check ObjectMetadata for the
existence of person table on a workspace - we can use the IF EXISTS
syntax instead.
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Avoid fetching full steps and trigger for versions that are not the
current version. Because those won't be used anyway. Better for
performances.
Only difficulty was for the `createDraft` mutation. I needed to return
the full created version so I can store it in cache and use it as new
`currentVersion`. Otherwise the current version is considered as
incomplete for a short time, since workflow is fetched separately from
the current version.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
**Fixes #15036**
Changes:
Centered Webhook URL: The webhook URL is now properly centered within
its table cell.
Conditional Scroll Arrows: The small arrows for horizontal scrolling now
only appear when the webhook URL is longer than the width of the cell.
This prevents the arrows from being displayed for shorter URLs.
Files changed:
1.
`packages/twenty-front/src/modules/settings/developers/components/SettingsWebhooksTable.tsx`
The grid-template-columns of the StyledTableRow component was changed
from a fixed-width layout (444px 68px) to a flexible layout (1fr auto).
This allows the first column, which contains the webhook URL, to grow
and shrink dynamically based on the available space, which is crucial
for proper centering and handling of different URL lengths.
2.
`packages/twenty-front/src/modules/settings/developers/components/SettingsDevelopersWebhookTableRow.tsx`
The overflow property of the StyledUrlTableCell component was changed
from hidden to auto. This ensures that the horizontal scrollbar (the
"small arrows") is only displayed when the content of the cell (the
webhook URL) overflows the cell's width.The redundant
StyledApisFieldTableRow component was removed to simplify the code, as
its styles were being overridden by the parent component.
How to Test
1. Log in to the application.
2. Go to Settings > API & Webhooks.
4. Add a new webhook with a short URL (e.g., http://localhost:3000).
5. Expected Behavior: The URL should be centered within the table cell,
and no scroll arrows should be visible.
6. Add another webhook with a long URL.
7. Expected Behavior: The URL should be centered, and horizontal scroll
arrows should be visible, allowing you
to scroll to see the entire URL.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
This big PR implements table virtualization with an offset paging,
allowing a way more fluid UX.
It is a v1 that should be improved in the future with partial data
loading and optimization of the browser display performance of a row.
But with this PR we have the solid enough technical foundation, both
frontend and backend, to get to a smooth table UX.
Fixes and improvements after first successful round of development
(needed to have main clean) :
- [x] Delete should refresh virtualized portion only and reset all table
- [x] Fix add new : top and bottom
- [x] Table empty shouldn’t show when first loading
- [x] Fix d&d
- [x] Fix sorts
- [x] Fix drag when scrolling after a full virtual page (it throws an
error)
- [x] Si update mais qu’on a un sort ou filter, alors il faut trigger le
refresh
- [x] Reset scroll position between tables
- [x] Reset scroll shadows between tables
- [x] Setup d&n for virtual list :
https://github.com/hello-pangea/dnd/blob/main/docs/patterns/virtual-lists.md
- [x] Full table re-render when entering edit mode
- [x] Clean code and prepare for merge
Fixes https://github.com/twentyhq/core-team-issues/issues/1613 that
contains other bugs to be fixed before merge
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Previous display suggested that the progress bar was completely full
(and no remaining credits) when it was actually completely empty.
Minimal value is set in this PR.
<img width="581" height="143" alt="Screenshot 2025-10-10 at 21 32 20"
src="https://github.com/user-attachments/assets/89acfe7f-b142-46cc-a3c6-090f5b2929fa"
/>
## Refactor: Prepare frontend record layouts for backend-driven
configuration
This PR simplifies and prepares the frontend record layout system for
eventual migration to backend-driven layouts, aligning the architecture
with the existing PageLayout system used for dashboards.
### Key Changes
**Architecture Improvements:**
- Created unified LayoutRenderingContext that works for both record
pages (with targetRecord) and dashboards (standalone)
- Replaced prop drilling with context-based data flow - cards access
targetRecord and isInRightDrawer via context hooks
- Introduced useTargetRecord() helper hook that provides type-safe
access to the current record
- Created generic CardRenderer component that handles configuration
injection and context guards uniformly
**Configuration System:**
- Converted all tab icons from React components to JSON-serializable
strings (e.g., Icon: IconCheckbox → icon: 'IconCheckbox')
- Added configuration field to cards, matching the widget configuration
pattern on the backend
- Created CardConfiguration types system similar to WidgetConfiguration
on the backend
- Moved widget-specific props (like showDuplicatesSection) into
configuration objects
**Code Organization:**
- Extracted visibility evaluation logic into reusable
evaluateTabVisibility() utility
- Organized layouts into dedicated files (one per object:
base-record-layout.ts, company-record-layout.ts, etc.)
- Renamed components to match their purpose: Notes → NotesCard,
Attachments → FilesCard, etc.
- Consolidated card rendering from registry object to direct
getCardComponent() function
**API Alignment:**
- Made ifNoReadPermissionObject an explicit part of TabVisibilityConfig
(follows if* naming convention)
- Removed redundant targetObjectNameSingular from tab-level (now derived
from visibility config)
- Card API now mirrors Widget API (both use type, configuration,
accessed via context)
# Introduction
Migrating `viewFilter` to v2 in order to migrate later the field update
side effect on view to v2 too
## What's done
- Created flat-view-filter
- flat view filter runner
- flat view filter builder
- create view filter service v2 and input transpilers
- refactor the existing view filter resolver to fix standard (
BREAKING_CHANGE on graphql api update especially ) REST stays the same
- refactored the front to consume the mutations autogenerated
## New generic tools
### Compare two flat entity
Introducing a new util to compare two flat entity, it's strictly typed
and will be added to the generic builder in a following PR
This will ease flat entity addition as won't required to create a
specific abstraction for comparison
Generic builder will expect specific constant: properties to compare and
properties to stringify
### Transform flat entity for comparison
Forked and refactor the initial existing method for flat entity business
scope and type safety
## Coverage
Migrated existing integration tests to fit new contract API
This PR does not add strong coverage on validation exceptions
Deadlines are too short
close https://github.com/twentyhq/core-team-issues/issues/1666
## Problem
With Twenty usage growing, we are facing challenges on server side to
respond to the demand. The current bottleneck we are facing is server
CPU.
While investigating CPU performances, we figured out that loading all
relation fields was the biggest issue.
### About graphql query response size
**Example:** on `People Index` Table page:
we query: `person.company` and we query **all non relation fields** on
company relation field.
`{ person { company { id, name, domainName, employees, address ... } }`
However we only need **company.id, company.name and company.domainName**
to be able to render the Company Chip in the company column (RELATION)
in the table.
`{ person { company { id, name, domainName } }`
We initially assumed that the querying all non relation fields was not
an issue because it was not adding additional load on database (which is
also partially true: if a field is containing a huge json this will add
load on postgres as data needs to be transfered)
This assumption is wrong on CPU side:
- when loading one to many relations (company.people), this quickly ads
up and we end up with response of 20kB quite quickly, even without
adding any custom field on person.
- even when loading a many to one relation, if the user is storing big
data in a given field (note.body for instance, or workflowRun.state),
this starts also being an issue.
- Worst case scenario are starting to happen: on a production workspace
with 20 active workflows. Loading workflow table while displaying
workflow runs commands (20 workflows x 60 workflowRuns x
workflowRun.state which is a big JSON) result in a response of... 125MB.
### Why is it an issue?
When yoga (graphql engine) parses a response to send it back in server
response, it's using `JSON.parse `(or stringify depending on the case).
Parsing data is CPU instensive (as you need to validate, transform) and
this is more or less `O(n)`.
This means returning 125MB is very intense on the CPU and will likely
use 100% of the CPU for ~1sec in our production servers.
NodeJs (nodeV8) is single threaded. It's able to process multiple
requests in parallel but to do that, it will cut them in "microTasks"
and process each microTasks (that can belong to different requests) one
after the other. Exactly like a single threaded CPU would allocate some
time to a process and then to the next one, etc.
This means that this big response request will actually block the other
request.
As a result, all requests are slow and our infrastructure is multi
tenant so some customers are impacting others.
This is even a bigger issue when our health checks start to fail and
containers are starting being considered as unhealthy and killed by the
orchestrator
## How to fix this
1. On Front end side, we should only query what we need. In this PR, I'm
forcing the relations to only query: `id`, `labelIdentifier`,
`imageIdentifier`
2. (later) as we are API first, we also need to do something to protect
the servers from this side too. To do that, Graphql APIs can associate a
cost to each graphql field (maybe 1 for a test fixed, 2 for a JSON
field, 10 for relations, etc...) and we can throttle based on that.
## Changes in this PR
It's mainly about refactor the tooling to generate `RecordGqlFields`
(`generateDepthOneGqlFields`). this tooling is used to generate the list
of fields we want to query. Most of the time we want to query a record
with one level of nesting.
1) Refactor to remove duplicate code => `generateDepthOne` become
`generateDepth` and can handle both `depth = 0 | 1`
2) Introduce `generateDepthRecordGqlFieldsFromFields.ts` which is the
base and can give you a list of gqlFields based on FieldMetadataItems
3) Introduce `generateDepthRecordGqlFieldsFromObject` which is a
shortcut for an object
4) Introduce `generateDepthRecordGqlFieldsFromRecords` which is the
intersection between `generateDepthRecordGqlFieldsFromObject` and a
given record (useful for cache tooling)
5) Replace all usages + introduce a hook
`useGenerateDepthRecordGqlFieldsFromObject` to ease usage
Filters should not cut the whole workflow. These should only stop the
branch. This PR:
- adds a new skipped status
- when a filter stops, it still goes to the next step
- the next step will execute if there is at least a successful step
- if only skipped step, it will be skipped as well
It allows to use filters in iterators.
https://github.com/user-attachments/assets/1cfca052-55c0-4ce5-9eb8-63736618d082
# Current behavior
1.7.0 is displayed as 1.6.0
<img width="1303" height="1082" alt="CleanShot 2025-10-06 at 11 23 38"
src="https://github.com/user-attachments/assets/a502aeec-eafc-4db9-bd04-0969a00ca474"
/>
# Fix
Fixes an off-by-one mismatch between rendered releases and compiled MDX
content by generating MDX from the filtered visible releases list. This
ensures versions like 0.2.3, 0.3.0, ... display the correct content.
