### Summary
Split BAR into VERTICAL_BAR and HORIZONTAL_BAR as separate chart types.
### The Problem
Initially wanted a simple vertical/horizontal toggle for bar charts, but
ran into a GraphQL union type
constraint: union types can't have the same field name with different
nullability.
- Vertical bars need groupByFieldMetadataIdX as required (categories on
X)
- Horizontal bars need groupByFieldMetadataIdY as required (categories
on Y)
- GraphQL schema generation fails with this setup
### The Solution
Use semantic primaryAxis and secondaryAxis naming that's
orientation-agnostic:
- primaryAxisGroupByFieldMetadataId = main grouping field (e.g.,
"Company Name")
- secondaryAxisGroupByFieldMetadataId = optional secondary grouping
(e.g., "Stage")
These fields have consistent meaning regardless of orientation. The
visual mapping happens at the UI layer:
- Vertical bars: primary data renders on X-axis, secondary on Y-axis
- Horizontal bars: primary data renders on Y-axis, secondary on X-axis
Both chart types share the same DTO structure with consistent
nullability.
### What Changed
- Split GraphType.BAR → VERTICAL_BAR | HORIZONTAL_BAR
- Renamed fields: primaryAxisGroupByFieldMetadataId,
secondaryAxisGroupByFieldMetadataId (+ subfield
variants)
- useChartSettingsValues(): Maps semantic fields to setting values (no
swapping)
- getBarChartSettings(): Dynamically arranges settings panel based on
orientation
- transformGroupByDataToBarChartData(): Maps semantic fields to Nivo's
layout prop
video QA
https://github.com/user-attachments/assets/479061b5-712e-4ca6-9858-95273d1f16c1
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>
# 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
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>
# 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
closes https://github.com/twentyhq/core-team-issues/issues/1418
Tested :
- findOne on Rest and Gql
### Vision
#### Common
- Common is kind of renamed Gql base resolver
- Common handles args (filter, values, ...) validation
- Common accepts depth or raw gql selected fields to compute
selectedFields
- Common is directly called by each CommonQueries (findOne, ...)
service, which extend CommonBaseQuery service
- Common sequence :
| - Parse & Validate args (args-handlers, to create)
| - Build query (query-parsers : currently in gql-query-parsers, to
move)
| - Execute query
| - Fetch relation + format
#### Rest
- Simple parsing (without metadata validation)
- Calling Common API
- Simple rest response formatting
#### Gql
- Calling Common API
Updates of the hello-world application
- remove the old hello-world application
- adds an object "postCard"
- adds a serverlessFunction `create-new-post-card` that calls the twenty
api to create a new postCard record
- add a route trigger /post-card/create?recipient=John
Closes [#1583](https://github.com/twentyhq/core-team-issues/issues/1583)
- Removed `messageId` column from `File` table and its references in
code (unrelated to this PR)
- Updated AI chat to use React Context API with persistent provider in
`CommandMenuContainer`
- Converted all AI chat component states to regular Recoil atoms (no
instance context needed)
---------
Co-authored-by: Félix Malfait <felix@twenty.com>
This PR is the first part of the creation of the Chart editor.
https://github.com/user-attachments/assets/8b0af8ea-be41-4506-84cb-e40f5521cbf0
Done:
- Bar chart settings (except filters)
- Line chart settings (except filters)
In progress:
- Pie chart settings
- Number chart settings
- Gauge chart settings
Left to do:
- Loosen the backend validation to allow the user to save a partial
configuration, validate the graph configuration in the frontend and
display a error friendly message in the graph if the config is not
completed yet
- Implement the filter edition
- Finish the other graph types settings
## Context
Add routes to migration V2
- Resolvers
- Service v2
- Builder
- Validator
- Action runner
Next PR: Add to twenty-cli to sync routes with serverless
## Context
We are experiencing bad performance on Twenty. One of the root cause
hypothesis is that computing `currentUser.currentWorkspace.views` is CPU
consuming. Without views, the GetCurrentUser response is ~1000 lines.
With its ~10000 lines.
As graphql is going through all fields recursively this can be quite
heavy on CPU. We had a similar issues on ObjectMetadataItems 2 years ago
and came with storing the response in redis.
Note: I thought there was also a cache in RAM but this is not the case,
so to invalidate the cache we can just empty redis.
## How
- Extract getting all views from GetCurrentUser and update frontend to
perform both queries
- Add views to cached graphql operations
- invalidate the cache manually on view or related core entities update
/ create / delete / destroy
## Tests
I have tested a lot on v1
- add serverlessFunction schema in twenty-cli
- add trigger schema in twenty-cli
- update serverless function code save and get
- sync serverless function
https://github.com/user-attachments/assets/d6c565eb-9a29-4830-9396-5f979c8caa7b
- Added a new component for manual trigger (mostly duplicated from
previous one). Will remove the old one once all data are migrated
- Updated schema output so the current item of the iterator can be typed
Todo left:
- migrate old triggers
- add an util to search iterator output. Today current item fields will
be displayed as not found
- set new manual triggers for workflow runs
## Context
Now adding serverless code sync within the migration v2 logic itself. To
do that we need to follow the
- Prepare flat input
- Build migration
- Run migration
steps where now the serverless function entity will store in DB and
cache a checksum of its code and the flat input will contain the code
with the checksum. Build will compare checksum and create an update
action containing the code if it has changed and the migration will now
run the corresponding services (instead of calling those in the parent
serverless service exposed in the API) allowing us to keep that logic
functional for other use cases such as import/export, twenty-cli and
twenty upgrades.
This PR should fix optimistic rendering issues on step updates:
- compute a diff for trigger and steps on mutations
- build an util that applies that diff (built a more robust version from
https://github.com/AsyncBanana/micropatch)
- apply diff in cache
Add a new graphql mutation in the pageLayout resolver to handle page
layout update with tabs and widgets.
Later we will add validation inside the service to check if the page
layout tab structure is correct (for instance check widgets don't
overlap or aren't out of the grid, or to check that they have a correct
configuration ...).
This mutation will be plugged to the save action of the dashboards in
the frontend.
## Summary
Implements the foundation for dynamic search field configuration from
[issue #1428](https://github.com/twentyhq/core-team-issues/issues/1428).
## Changes
- Add `SearchFieldMetadataEntity` junction table for storing searchable
field configurations
- Add `SearchFieldMetadataService` with core CRUD operations
- Add `SearchFieldMetadataModule` following existing patterns
- Add `IS_DYNAMIC_SEARCH_FIELDS_ENABLED` feature flag (defaults to
`false`)
- Database migration with proper indexes and foreign keys
## Architecture
Uses a junction table where **record existence = field is searchable**:
**Table: `searchFieldMetadata(objectMetadataId, fieldMetadataId,
workspaceId)`**
- Unique constraint on `(objectMetadataId, fieldMetadataId)`
- `ON DELETE CASCADE` on foreign keys
## Testing
- [x] Migration runs successfully
- [x] Table created with correct schema
- [x] Feature flag seeded properly
- [x] Database reset works correctly
## Next Steps
Future PRs will handle:
- Data migration from existing hardcoded search field configs
- Integration with search services
✅ No breaking changes — fully backward compatible.
Thomas Trompette