## Summary
- Renames `ObjectMetadataItem` to `EnrichedObjectMetadataItem` across
the entire frontend (~440 files) to clarify that this type includes
derived fields (`readableFields`, `updatableFields`, nested `fields[]`,
`indexMetadatas[]`) computed at read time from the metadata store
- Creates `splitObjectMetadataGqlResponse` that goes directly from a
GraphQL `ObjectMetadataItemsQuery` response to flat store items
(combining the old
`mapPaginatedObjectMetadataItemsToObjectMetadataItems` +
`splitObjectMetadataItemWithRelated` two-step flow into one call)
- Removes `ObjectMetadataItemWithRelated` type and all "WithRelated"
naming
- Renames `generatedMockObjectMetadataItems` to
`generateTestEnrichedObjectMetadataItemsMock` to make it clear this is
test-only enriched data
- Deletes `useLoadMockedObjectMetadataItems` hook (consolidated into
`useLoadMockedMinimalMetadata`)
- Ensures nothing destined for the metadata store computes
`readableFields`/`updatableFields` (preventing the localStorage bloat
from #18809)
## Type hierarchy (before → after)
**Before:**
```
ObjectMetadataItemsQuery → mapPaginated → ObjectMetadataItemWithRelated → enrich → ObjectMetadataItem
→ split → FlatObjectMetadataItem (store)
```
**After:**
```
ObjectMetadataItemsQuery → splitObjectMetadataGqlResponse → FlatObjectMetadataItem (store)
→ mapPaginated + enrich (tests only) → EnrichedObjectMetadataItem
```
## Test plan
- [x] `npx nx typecheck twenty-front` passes
- [x] `npx nx test twenty-front` passes (767 suites, 4505 tests)
- [x] `npx nx lint twenty-front` passes
- [ ] CI checks pass
Made with [Cursor](https://cursor.com)
## Summary
- Renames the `FieldMetadataType` enum key from `RICH_TEXT_V2` to
`RICH_TEXT` across the entire codebase, while keeping the underlying
string value as `'RICH_TEXT_V2'` to maintain PostgreSQL database
compatibility
- Renames all related types, guards, hooks, components, and files from
`*RichTextV2*` / `*rich-text-v2*` to `*RichText*` / `*rich-text*` (e.g.
`FormRichTextV2FieldInput` → `FormRichTextFieldInput`,
`isFieldRichTextV2` → `isFieldRichText`)
- Updates generated files (GraphQL schema, SDK types) to use the new key
while preserving the `RICH_TEXT_V2` string value for DB/API layer
- Updates i18n locale files, test snapshots, and integration tests to
reflect the rename
## Context
The legacy `RICH_TEXT` (V1) field type was deprecated and migrated to
`TEXT` in a previous PR (#18623). With V1 gone, the `RICH_TEXT_V2`
naming is no longer necessary — `RICH_TEXT` is now the canonical name.
The DB enum value stays `'RICH_TEXT_V2'` to avoid confusion with the
just-deprecated V1 type and to prevent a database migration.
## Test plan
- [x] `twenty-server` typecheck passes
- [x] `twenty-front` typecheck passes (only pre-existing Apollo client
errors remain)
- [x] `twenty-server` lint passes
- [x] `twenty-front` lint passes
- [x] `twenty-shared` build passes
- [ ] CI passes
Made with [Cursor](https://cursor.com)
## Summary
- Removes the deprecated `RICH_TEXT` (V1) field metadata type from the
codebase entirely
- Adds a 1.20 upgrade command that migrates existing `RICH_TEXT` fields
to `TEXT` in `core.fieldMetadata`
- Cleans up ~70 files across `twenty-shared`, `twenty-server`,
`twenty-front`, `twenty-sdk`, and `twenty-zapier`
## Context
`RICH_TEXT` was a legacy field type that stored rich text as a single
`text` column. It was already **read-only** — writes threw errors
directing users to `RICH_TEXT_V2` instead. `RICH_TEXT_V2` is the current
approach: a composite type with `blocknote` (editor JSON) and `markdown`
subfields. Keeping the deprecated type added maintenance burden without
any value.
Since the underlying database column type for `RICH_TEXT` was already
`text` (same as `TEXT`), the migration only needs to update the metadata
— no data migration or column changes required.
## Changes
### Upgrade command (new)
- `1-20-migrate-rich-text-to-text.command.ts` — runs `UPDATE
core."fieldMetadata" SET "type" = 'TEXT' WHERE "type" = 'RICH_TEXT'` per
workspace, with cache invalidation
### Enum & shared types
- Removed `RICH_TEXT` from `FieldMetadataType` enum
- Removed from `FieldMetadataDefaultValueMapping`,
`isFieldMetadataTextKind`
### Server (~30 files)
- Removed from type mapper (scalar, filter, order-by), data processors,
input transformer, filter operators, zod schemas, column type mapping,
searchable fields, RLS matching, OpenAPI schema, fake value generators
- Removed from field creation flow and field metadata type validator
- Updated dev seeder Pet `bio` field to `TEXT`
- Cleaned up mocks, snapshots, integration tests
### Frontend (~25 files)
- Deleted: `RichTextFieldDisplay`, `isFieldRichText`,
`isFieldRichTextValue`, `useRichTextFieldDisplay`
- Removed from `FieldDisplay`, `usePersistField`, `isFieldValueEmpty`,
`isRecordMatchingFilter`, `generateEmptyFieldValue`,
`isFieldCellSupported`, spreadsheet import, workflow fake values
- Removed from settings types, field type configs, and field creation
exclusion list
- Updated tests, mocks, and stories
### SDK & Zapier
- Removed from generated GraphQL schema and TypeScript types
- Removed from Zapier `computeInputFields`
- Remove feature flag
- Remove legacy methods in file-upload and file-service
- Migrate AI Chat to new file management
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
## PR Description
- Uses `expr-eval` to enable front components (SDK plugins) to define
conditional availability as declarative expressions.
- Moves shared types and constants to `twenty-shared`
- Introduces a `conditionalAvailabilityExpression` field on
`CommandMenuItemEntity`, allowing command menu items to store an
`expr-eval` compatible expression string that is evaluated against a
CommandMenuContext to determine if the item should be shown.
- Creates an esbuild transform plugin
`conditional-availability-transform-plugin` in `twenty-sdk` that
converts TypeScript conditional availability expressions into
`expr-eval` compatible syntax at build time, so SDK developers can write
natural TS expressions that get transformed to evaluable strings.
- Removes deprecated `forceRegisteredActionsByKey` state and its usage.
- Creates `useCommandMenuContext` hook that builds the full
`CommandMenuContext` object from React state, which is then passed to
`useCommandMenuItemFrontComponentActions` for evaluating conditional
availability expressions.
## Summary
- Migrate more hand-written test mocks to auto-generated data from a
real Twenty instance
- Add generators for views, billing plans, API keys; extend record
generator for workspace members, favorites, connected accounts, calendar
events
- Remove 9 hand-written mock files replaced by generated equivalents
- Update 16 test/story files to use generated data
- Fix WorkflowEditActionEmailBase story assertion to match configured
recipient email
## Test plan
- [x] Lint, typecheck, unit tests pass
- [ ] Storybook tests pass in CI
# Introduction
## Centralize system field definitions
- Extract a single `PARTIAL_SYSTEM_FLAT_FIELD_METADATAS` constant as the
source of truth for all 8 system fields (`id`, `createdAt`, `updatedAt`,
`deletedAt`, `createdBy`, `updatedBy`, `position`, `searchVector`),
eliminating duplication across custom object and standard app field
builders
- Refactor `buildDefaultFlatFieldMetadatasForCustomObject` to use the
shared constant via a new `buildObjectSystemFlatFieldMetadatas` helper
## Mark system fields as `isSystem: true`
- Fields `id`, `createdAt`, `updatedAt`, `deletedAt`, `createdBy`,
`updatedBy`, `position`, `searchVector` are now properly flagged as
system fields across all standard objects and custom object creation
- Standard app field builders for all ~30 standard objects updated to
set `isSystem: true` on `createdAt`, `updatedAt`, `deletedAt`,
`createdBy`, `updatedBy`
- System-only standard objects (blocklist, calendar channels, message
threads, etc.) now also include `createdBy`, `updatedBy`, `position`,
`searchVector` field definitions that were previously missing
## Validate system fields on object creation
- New transversal validation (`crossEntityTransversalValidation`) runs
after all atomic entity validations in the build orchestrator, ensuring
all 8 system fields are present with correct `type` and `isSystem: true`
when an object is created
- New `buildUniversalFlatObjectFieldByNameAndJoinColumnMaps` utility to
resolve field names to universal identifiers for a given object
- New exception codes: `MISSING_SYSTEM_FIELD` and `INVALID_SYSTEM_FIELD`
on `ObjectMetadataExceptionCode`
## Protect system fields and objects from mutation
- Field validators now block update/delete of `isSystem` fields by
non-system callers (`FIELD_MUTATION_NOT_ALLOWED`)
- Object validators now block update/delete of `isSystem` objects by
non-system callers
- `POSITION` and `TS_VECTOR` field type validators replaced: instead of
rejecting creation outright, they now validate that the field is named
correctly (`position` / `searchVector`) and has `isSystem: true`
## Distinguish `isSystemBuild` from `isCallerTwentyStandardApp`
- New `isCallerTwentyStandardApp` utility checks whether the caller's
`applicationUniversalIdentifier` matches the twenty standard app
- Name-sync logic (`isFlatFieldMetadataNameSyncedWithLabel`,
`areFlatObjectMetadataNamesSyncedWithLabels`) refactored to use
`isCallerTwentyStandardApp` for custom suffix decisions, keeping
`isSystemBuild` for mutation permission checks
- `WorkspaceMigrationBuilderOptions` type updated to include
`applicationUniversalIdentifier`
## Adapt frontend filtering
- New `HIDDEN_SYSTEM_FIELD_NAMES` constant (`id`, `position`,
`searchVector`) and `isHiddenSystemField` utility to only hide truly
internal fields while keeping user-facing system fields (`createdAt`,
`updatedAt`, `deletedAt`, `createdBy`, `updatedBy`) visible in the UI
- ~20 frontend files updated to replace `!field.isSystem` checks with
`!isHiddenSystemField(field)` across record index, settings, data model,
charts, workflows, spreadsheet import, aggregations, and role
permissions
## Add 1.19 upgrade commands
- **`backfill-system-fields-is-system`**: Raw SQL command to set
`isSystem = true` on existing workspace fields matching system field
names, and fix `position` field type from `NUMBER` to `POSITION` for
`favorite`/`favoriteFolder` objects. Includes proper cache invalidation.
- **`add-missing-system-fields-to-standard-objects`**: Codegen'd
workspace migration to create missing `position`, `searchVector`,
`createdBy`, `updatedBy` fields on standard objects that didn't
previously have them. Runs via `WorkspaceMigrationRunnerService` in a
single transaction with idempotency check. **Known limitation**: assumes
all standard objects exist and are valid in the target workspace.
## Add `universalIdentifier` for system fields in standard object
constants
- `standard-object.constant.ts` updated to include `universalIdentifier`
for `createdBy`, `updatedBy`, `position`, and `searchVector` across all
standard objects
- `fieldManifestType.ts` updated to support the new field manifest shape
## System relation
Completely removed and backfilled all `isSystem` relation to be false
false
As we won't require an object to have any relation system fields
## Add integration tests
- New test suite `failing-sync-application-object-system-fields`
covering: missing system fields, wrong field types (`id` as TEXT,
`createdAt` as TEXT, `position` as TEXT), system field deletion
attempts, and system field update attempts
- New test utilities: `buildDefaultObjectManifest` (builds an object
manifest with all 8 system fields) and `setupApplicationForSync`
(centralizes application setup)
- Existing successful sync test updated to verify system fields are
created with correct properties
## Next step
Make the builder scope the compared entity to be the currently built app
+ nor twenty standard app
Create the necessary tooling to listen to metadata events and plug it to
the front components. Now we have a hot reload like experience when we
edit a component in an app.
## Backend
- Split `EventWithQueryIds` into `ObjectRecordEventWithQueryIds` and
`MetadataEventWithQueryIds`
- Publish metadata event batches to active SSE streams in
`MetadataEventsToDbListener`
## Frontend
- Create a metadata event dispatching pipeline: SSE metadata events are
grouped by metadata name, transformed into
`MetadataOperationBrowserEventDetail` objects, and dispatched as browser
`CustomEvents`
- Add `useListenToMetadataOperationBrowserEvent` hook for consuming
metadata operation events filtered by metadata name and operation type
- Rename `useListenToObjectRecordEventsForQuery` to
`useListenToEventsForQuery`, now accepting both
`RecordGqlOperationSignature` and `MetadataGqlOperationSignature`
- Implement `useOnFrontComponentUpdated` which subscribes to front
component metadata events and updates the Apollo cache when the
component is modified
- Add `builtComponentChecksum` to the front component query and appends
it to the component URL for browser cache invalidation
Fixes https://github.com/twentyhq/core-team-issues/issues/2192
This PR implements what is necessary to re-create the query that we
build on the frontend to obtain the returned object record from a
mutation, but on the backend, which was only partially implemented for
REST API.
Usually we want to have relations with only their id and label
identifier field to have lighter payloads.
In the event we only had depth 0 fields, with this PR we have all events
with depth 1 relations.
We have depth 2 for many-to-many cases, like updateOne or updateMany
result :
- Junction tables
- Activity target tables
## Reduce type leakage between GraphQL schemas
### Why
Twenty runs two separate GraphQL schemas: **core** and **metadata**.
NestJS's `@nestjs/graphql` uses a global `TypeMetadataStorage` that
accumulates all decorated types across all modules. When each schema is
built, every registered type leaks into both schemas regardless of which
module it belongs to.
This means the core schema's generated TypeScript
(`generated/graphql.ts`) contained ~2,700 lines of types that only
belong to the metadata schema (and vice versa). This creates confusion
about type ownership, inflates generated code, and makes it harder to
reason about which API surface each schema actually exposes.
### How
**1. Patch `@nestjs/graphql` to support schema-scoped type resolution**
- **(Already done)** Added a `resolverSchemaScope` option to
`GqlModuleOptions`, allowing each schema to declare a scope (e.g.
`'metadata'`)
- `ResolversExplorerService` now filters resolvers by a
`RESOLVER_SCHEMA_SCOPE` metadata key, so each schema only sees its own
resolvers
- `GraphQLSchemaFactory` now performs a **reachability walk**
(`computeReachableTypes`) starting from scoped resolver return types and
arguments, only including types that are transitively referenced —
handling unions, interfaces, and prototype chains
- Type definition storage and orphaned reference registry are cleared
between schema builds to prevent cross-contamination
**2. Register `ClientConfig` as orphaned type in metadata schema**
Since `ClientConfig` is needed in the metadata schema but not directly
returned by a resolver, it's explicitly declared via
`buildSchemaOptions.orphanedTypes`.
**3. Regenerate frontend types and fix imports**
- `generated/graphql.ts` shrank by ~2,700 lines (types moved to where
they belong)
- `generated-metadata/graphql.ts` gained types like `ClientConfig` that
were previously missing
- ~500 frontend files updated to import from the correct generated file
- Migration command
- Check IS_FILES_FIELD_MIGRATED:false
- Check or create avatarFile field
- Fetch all people with avatarUrl
- Move (Copy/move) file in storage
- Create core.file record
- Update person record
- bonus : attachment migration : fullPath > file (same logic)
- BE logic
- Add avatarFile field on person
- FE logic
- Adapt logic to upload on/display avatarFile data
The whole imageIdentifier logic will be done later
## Overview
This PR implements **generic many-to-many relation support** through
junction tables (also known as associative entities or join tables).
This replaces the need for hardcoded taskTarget/noteTarget logic and
provides a flexible foundation for modeling complex entity
relationships.
## Architecture
### Data Model
Many-to-many relationships are implemented using a **junction object
pattern**:
```
┌─────────┐ ┌──────────────────┐ ┌─────────┐
│ Pet │──────>│ PetRocket │<──────│ Rocket │
│ │ 1:N │ (junction) │ N:1 │ │
│ rockets ├───────┤ pet : Pet ├───────┤ │
└─────────┘ │ rocket : Rocket │ └─────────┘
└──────────────────┘
```
The junction object (PetRocket) has:
- A `MANY_TO_ONE` relation to **Pet** (the source)
- A `MANY_TO_ONE` relation to **Rocket** (the target)
The source object (Pet) has a `ONE_TO_MANY` relation pointing to the
junction, with **field settings** that specify which target field to
follow.
### Field Settings Schema
Junction configuration is stored in `FieldMetadataRelationSettings`:
```typescript
{
relationType: "ONE_TO_MANY",
// Points to the target field on the junction object
junctionTargetFieldId?: string; // For regular relations
junctionTargetMorphId?: string; // For polymorphic relations
}
```
**Two configuration modes:**
1. **`junctionTargetFieldId`** - References a specific `RELATION` field
on the junction
2. **`junctionTargetMorphId`** - References a `morphId` group for
polymorphic targets (e.g., link to Person OR Company)
### GraphQL Query Generation
When a junction relation is detected, the GraphQL fields are generated
to fetch the nested target:
```graphql
query GetPetWithRockets {
pet(id: "...") {
rockets { # ONE_TO_MANY to junction
id
rocket { # Target field on junction
id
name
__typename
}
}
}
}
```
For polymorphic junction targets:
```graphql
caretakerPerson { id, name }
caretakerCompany { id, name }
```
## Frontend Architecture
### Display Flow
1. **Detection**: `hasJunctionConfig()` checks if field has junction
settings
2. **Config Resolution**: `getJunctionConfig()` resolves junction object
metadata and target fields
3. **Record Extraction**: `extractTargetRecordsFromJunction()` extracts
target records from junction records
4. **Rendering**: Target records displayed as chips (not junction
records)
### Edit Flow
1. **Picker Opening**: Initializes the multi-record picker with:
- Searchable object types (derived from junction target fields)
- Pre-selected items (extracted from existing junction records)
2. **Selection Handling**: Manages create/delete of junction records:
- **Select**: Creates new junction record with source + target IDs
- **Deselect**: Finds and deletes the junction record
- **Optimistic Updates**: Manually updates Recoil store before API call
### Key Trade-offs
| Decision | Trade-off |
|----------|-----------|
| Junction records managed manually | More control over optimistic
updates, but requires manual cache management |
| Settings stored per-field | Flexible (same junction can power
different views), but requires UI to configure |
| Polymorphic via morphId groups | Supports N target types, but adds
query complexity |
| Feature flag gated | Safe rollout, but requires flag management |
## Backend Changes
- **Validation**: Junction target field must exist and be a valid
`MANY_TO_ONE` relation
- **Settings**: Extended `FieldMetadataRelationSettings` type with
junction fields
- **Dev Seeder**: Added sample junction objects (PetRocket,
EmploymentHistory, PetCareAgreement) for testing
## How to Test
1. Enable the `IS_JUNCTION_RELATIONS_ENABLED` feature flag
2. Create objects with junction pattern (Pet → PetRocket → Rocket)
3. Configure the junction target in field settings (advanced mode)
4. Verify:
- Display shows target objects (Rockets), not junction records
(PetRockets)
- Picker allows selecting/deselecting targets
- Changes persist correctly
https://github.com/user-attachments/assets/d04f057a-228c-4de8-af48-76bb2d72cac1
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
In this PR :
- New field type FieldMetadataType.FILES added (as jsonb in DB)
- Backend: GraphQL types, validation, REST API schema, data processor
handling
- Frontend: field configuration in settings
- Feature flag IS_FILES_FIELD_ENABLED to gate the feature
- Integration tests for create/filter validation
- Dev seed: Feature flag enabled + FILES field on survey result object
To do in next PRs :
- Backend :
-- new workspaceFile controller (for download) & new workspaceFile
upload resolver (for upload)
-- pre-hook/post-hook to ensure fileId existence + listener to ensure
cleaning
- Frontend : FILES field display/edit in table view, record, ...
This PR refactors object record operation dispatch through a browser
event instead of a state that was registering all operations.
This is a cleaner pattern as it is a synchronous event code path instead
of relying on a useEffect to watch state change, which is not ideal.
We introduce this change first to then rely on this new pattern to
dispatch SSE events in a following PR.
Upgraded to Storybook 10. We still use `@storybook/test-runner` for
testing since it appears it'd require more work to move from Jest to
Vitest than I initially anticipated, but I completed this PR to fix
`storybook:serve:dev` - it takes time to load, but it works the way it
used to with Storybook 8.
https://github.com/user-attachments/assets/7afc32c6-4bcf-4b37-b83b-8d00d28dda15
- moved a few gql types to twenty shared to re-use in server
- added a new endpoint, onEventSubscription that expect a streamId to
create a connection
- two new endpoints to store queries in Redis
- updated the existing batch channel to directly use object record type
#16383
## Scope & Context
**Context**:
Added a **Bulk Update** feature to allow users to modify multiple
records simultaneously. This addresses the need for efficient data
management when dealing with large datasets.
**Scope**:
Enabling a "Bulk Update" flow that can be triggered for a filtered list
of records (e.g., current view). The feature guides the user through
selecting fields to modify, inputting new values, and executing the
update with real-time progress feedback.
## Current behavior
Currently, users must open and update records one by one.
To change the "Status" of 10 different opportunities, the user has to
navigate to each record detail page or use the inline cell editor 10
separate times. This is repetitive and time-consuming.
## Expected behavior
Users can trigger "Update Records" from the command menu or action bar.
1. **Choose Fields**: A step where users select which properties they
want to modify (e.g., check "Status" and "Assignee").
2. **Input Values**: Users provide the new values for the selected
fields.
3. **Execution**: Upon confirmation, the system updates all matching
records in the background.
4. **Feedback**: A progress indicator shows the number of processed
records, and a toast notification confirms completion.
*Key interactions:*
- Users can clear a field's value (set to null) by selecting the field
but leaving the input empty.
- The operation supports cancelling midway.
https://github.com/user-attachments/assets/c87366a3-246e-4615-9941-0bf63d70df86
## Technical inputs
**Core Functionality**:
- **Incremental Batch Processing**: Updates are performed in small
batches (using `useIncrementalUpdateManyRecords` to handle large
datasets without timing out or freezing the UI.
- **Global Feedback**: Integrated with the Snackbar system to notify
users of success or errors across the application.
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Introduces localization keys and generated messages to support the new
bulk update workflow.
>
> - New strings for command menu selection info: `{totalCount} selected`
> - Footer actions for bulk update: `Apply`, `Cancel` in
`UpdateMultipleRecordsFooter`
> - Toasts in `UpdateMultipleRecordsContainer`: `Successfully updated
{count} records`, `Failed to update records. Please try again.`
> - Action labels: `Update`, `Update records` in
`DefaultRecordActionsConfig` and command menu hook
> - Adds/updates entries across multiple locale `.po` files and
regenerates `af-ZA` messages
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
b1dce4c599b85fa2947ca63b265fc750e80d9bb6. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Samuel Arbibe <samuelarbibe@Samuels-MacBook-Pro.local>
Co-authored-by: Félix Malfait <felix@twenty.com>
## Summary
This PR enforces the use of `@/` alias for imports instead of relative
parent imports (`../`).
## Changes
### ESLint Configuration
- Added `no-restricted-imports` pattern in `eslint.config.react.mjs` to
block `../*` imports with the message "Relative parent imports are not
allowed. Use @/ alias instead."
- Removed the non-working `import/no-relative-parent-imports` rule
(doesn't work properly in ESLint flat config)
### VS Code Settings
- Added `javascript.preferences.importModuleSpecifier: non-relative` to
`.vscode/settings.json` (TypeScript setting was already there)
### Code Fixes
- Fixed **941 relative parent imports** across **706 files** in
`packages/twenty-front`
- All `../` imports converted to use `@/` alias
## Why
- Consistent import style across the codebase
- Easier to move files without breaking imports
- Better IDE support for auto-imports
- Clearer understanding of where imports come from
- Added new `useUpdateManyRecords` hook for batch record updates with
optimistic cache updates
- Added `updateMessageFoldersSyncStatus` hook for managing message
folder sync state
- Redesigned Message Folders List with BreadCrumb and Animations
Fixes#16636
Added useCloseDropdown() hook and set onEnter prop to
onEnter={closeDropDown()} using dropdownID
EDIT from @charlesBochet after refactoring:
- ObjectDropdownFilters are used in 3 places: Main Filter menu,
EditableChip, AdvancedFilters
- deprecate vectorSearch in view filter area, we are not using them, we
are doing a anyField filter now. While refactoring the points below, I
did not want to maintain vectorSearch as it was not used anymore
- stop confusing the dropdownId (which is an id to interact with a
specific dropdown) and componentInstanceIds (which is used to scope
component states) for EditableFilter case
- I haven't fixed the confusion for MainFilter case
- It was already handled for AdvancedFilter case
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Co-authored-by: Lucas Bordeau <bordeau.lucas@gmail.com>
## Summary
This PR significantly simplifies the AI chat architecture by removing
complex routing/planning mechanisms and introduces clickable record
links in AI responses.
## Changes
### AI Chat Architecture Simplification
- **Removed** the entire `ai-chat-router` module (~850 lines) including:
- Strategy decider service
- Plan generator service
- Complex routing logic
- **Removed** agent execution planning services (~700 lines):
- `agent-execution.service.ts`
- `agent-plan-executor.service.ts`
- `agent-tool-generator.service.ts`
- **Added** centralized `ToolRegistryService` for tool management:
- Builds searchable tool index (database, action, workflow tools)
- Provides tool lookup by name
- Supports agent search for loading expertise
- **Added** `ChatExecutionService` as simple replacement:
- Includes full tool catalog in system prompt
- Pre-loads common tools (find/create/update for company, person,
opportunity, task, note)
- Uses `load_tools` mechanism for dynamic tool activation
- Enables native web search by default
### Record References in AI Responses
- Added `recordReferences` field to tool outputs for create, find, and
update operations
- Implemented `[[record:objectName:recordId:displayName]]` syntax for AI
to reference records
- Created `RecordLink` component that renders clickable chips with
object icons
- Integrated record link parsing into the markdown renderer
- Users can now click directly on created/found records in AI responses
### Workflow Agent Fixes
- Fixed cache invalidation issue when creating agents in workflows
- Added default prompt for workflow-created agents to prevent validation
errors
- Relaxed agent validation to only check properties being updated (not
all required properties)
### Code Quality Improvements
- Extracted `getRecordDisplayName` utility that mirrors frontend's
`getLabelIdentifierFieldValue` logic
- Uses object metadata to determine the correct label identifier field
- Handles `FULL_NAME` composite type for person/workspaceMember objects
- Shared across create, find, and update record services
## Net Impact
- **~1,200 lines deleted** (complex routing/planning code)
- **~500 lines added** (simpler tool registry + record links)
- Significantly reduced code complexity
- Better tool discovery through full catalog in system prompt
- Improved UX with clickable record references
## Testing
- Typecheck passes
- Lint passes
- Manual testing of AI chat with record creation and linking
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.
Two bug fixes here:
# MorphRelationOneToManyFieldDisplay
we expect an empty array, not undefined (run time error otherwise)
Fixes `Cannot read properties of undefined (reading 'length'): Cannot
read properties of undefined (reading 'length')` in
**MorphRelationOneToManyFieldDisplay**
```js
morphValuesWithObjectNameSingular.every(
(morphValueWithObjectNameSingular) =>
morphValueWithObjectNameSingular.value.length === 0,
);
```
# create record in table mode
if the record has a relation there is currenlty a bug in production when
it is created. A cache issue.
`Missing field 'companyFoundedId' while writing result `
Adds the field on the Show page and side panel for Morph relation
fields.
Updates
`packages/twenty-front/src/modules/object-record/record-field/ui/meta-types/input/hooks/useOpenMorphRelationOneToManyFieldInput.tsx`
to use the correct `recordPickerInstanceId` when opening the picker so
the helper consistently renders (fixes [core-team-issues
#1324](https://github.com/twentyhq/core-team-issues/issues/1324)).
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
- Use aggregate operations in the widget configuration instead of
extended aggregate operations
- Use aggregate operation from generated graphql in the frontend
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>
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>
## 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
This PR follows the multiSelect PR merged previously. It will enable
morph relation Many to One to be handled from the table, using a
singleSelect picker
Main point : I decided to change the singleSelect API to take an array
of **objectMetadataName** instead of only one to deal with both our
usecases.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Closes https://github.com/twentyhq/core-team-issues/issues/1560
If viewId is defined in a groupBy query, we want to apply all filters of
the view to the query.
This required to move a lot of code from twenty-front to twenty-shared
to convert the filters as stored in the db into graphql filters,
applying the right combinations between filters etc., which was
previously only done in the FE.
This PR does not handle any field filters, it will be done in a later pr
## Add Morph Relation Field Display Support for Tables (one to many &
many to one)
**Features:**
- Display morph relation fields (one-to-many, many-to-one) in table
cells
- Multi-field record retrieval for improved performance
- Enhanced table cell rendering with morph relation support
**Components Added:**
- `MorphRelationManyToOneFieldDisplay` - Shows many-to-one morph
relations
- `MorphRelationOneToManyFieldDisplay` - Shows one-to-many morph
relations
TODO :
handle notes and tasks case if we choose these kind of objects as
targets/source for a morph relation
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
This PR introduces the usage of record fields in the manipulation of
table columns and board fields.
Since all of the actual system relies on states like tableColumns,
recordIndexFieldDefinitions and the likes, it was required to implement
temporary utils that modifies those states in parallel of the new
generic currentRecordFields, to keep a working product.
With this PR though, currentRecordFields becomes the single source of
truth that gets saved to DB, and the remaining work is just to make the
switch with this new state on all components that are plugged to
tableColumns and the like.
This will be done in another PR.
Charles Bochet