## Summary
Replace the single `metadataVersion` integer with per-entity-type
**collection hashes** for granular metadata staleness detection. The
backend already generates a UUID per flat entity map on each cache
recompute (`crypto.randomUUID()` in `WorkspaceCacheService`); we now
expose these via the minimal metadata endpoint and SSE events so the
frontend can compare and know exactly which entity types are stale.
### Key changes
**Backend:**
- `WorkspaceCacheService.getCacheHashes()` — new public method that
reads only `:hash` keys from Redis without fetching full data
- `MinimalMetadataDTO` — added `collectionHashes: Record<string,
string>` (JSON scalar mapping `AllMetadataName` → collection hash),
removed `metadataVersion`
- `MetadataEventDTO` — added optional `updatedCollectionHash` field to
SSE events
- `MetadataEventsToDbListener` — reads the collection hash for the
affected entity type after cache invalidation and attaches it to the SSE
event before publishing
- `MinimalMetadataService` — no longer queries the workspace table; uses
`getCacheHashes()` for all flat entity maps and maps cache keys to
`AllMetadataName` locally
**Frontend:**
- `metadataCollectionHashesState` — new Jotai atom with
`atomWithStorage` + `getOnInit: true` storing
`Partial<Record<MetadataEntityKey, string>>`
- `mapAllMetadataNameToEntityKey()` — explicit mapping from backend
`AllMetadataName` to frontend `MetadataEntityKey` (23 entries)
- `useLoadMinimalMetadata` — stores `collectionHashes` from server,
computes `staleEntityKeys` by comparing local vs server hashes
- `patchMetadataStoreFromSSEEvent()` — accepts optional
`updatedCollectionHash` and updates `metadataCollectionHashesState`
- All 11 SSE effect components — pass
`eventDetail.updatedCollectionHash` through to the patch function
- `useStaleMetadataEntities` — new hook returning entity keys missing
from collection hashes (not yet loaded/synced)
- `resetMetadataStore()` — also clears collection hashes
- Deleted `metadataVersionState` (superseded by collection hashes)
### Design decisions
- **No change to hash generation** — existing `crypto.randomUUID()` is
sufficient. Hashes are persisted in Redis, survive server restarts, and
change only on `invalidateAndRecompute`.
- **"Collection hash" naming** — used consistently to clarify the hash
represents an entire entity collection (e.g., all views), not a single
record.
- **Mapping localized** — backend `WorkspaceCacheKeyName` →
`AllMetadataName` mapping lives in the minimal metadata service.
Frontend `AllMetadataName` → `MetadataEntityKey` mapping lives in a
local utility. Nothing in `twenty-shared`.
- **Backward compatible** — `collectionHashes` is additive;
`updatedCollectionHash` is nullable.
## Summary
Uniformizes the metadata store to support **all** backend flat metadata
types, introduces a **minimal metadata endpoint** for fast initial
renders, replaces custom localStorage persistence with **Jotai's
built-in `atomWithStorage`**, and wires up a
**MinimalMetadataLoadEffect** for stale-while-revalidate loading.
### Key changes
- **All flat metadata types**: Added `FlatCommandMenuItem`,
`FlatFrontComponent`, `FlatWebhook`, `FlatRole`, `FlatRoleTarget`,
`FlatAgent`, `FlatSkill`, `FlatRowLevelPermissionPredicate`,
`FlatRowLevelPermissionPredicateGroup` — every entity in the backend
`MetadataEntityTypeMap` now has a corresponding frontend flat type
registered in `ALL_METADATA_ENTITY_KEYS` and `MetadataEntityTypeMap`.
- **Minimal metadata endpoint** (`minimalMetadata` GraphQL query): New
backend module (`MinimalMetadataModule`) returns lightweight object
metadata (names, icons, labels, flags) and basic views (id, type, key,
objectMetadataId) plus a `metadataVersion`. This enables fast first
paint before full metadata loads.
- **Jotai `atomWithStorage` for persistence**: Replaced the custom
`MetadataLocalStorageEffect` with Jotai's built-in `atomWithStorage` on
both `metadataStoreState` (family) and `metadataVersionState`. Added
`localStorageOptions` support to `createAtomFamilyState` for `{
getOnInit: true }` synchronous hydration. Each entity atom auto-persists
under keys like `metadataStoreState__objectMetadataItems`.
- **MinimalMetadataLoadEffect**: New effect mounted before
`MetadataProviderInitialEffects` that checks if the store already has
data (from Jotai localStorage hydration). If empty, it fetches minimal
metadata from the new endpoint. The full metadata load continues in
parallel, eventually enriching the store with complete data.
- **SSE effects alignment**: All metadata entity types now have
corresponding SSE effects that directly patch the metadata store via
`patchMetadataStoreFromSSEEvent`.
- **Existing selectors and joining logic**:
`objectMetadataItemsWithFieldsSelector`, `viewsWithRelationsSelector`,
`pageLayoutsWithRelationsSelector` reconstruct nested data from flat
entities for components that need it.
### Loading flow
```
App mount
→ Jotai atomWithStorage hydrates store from localStorage (sync, getOnInit)
→ MinimalMetadataLoadEffect
→ Store has data? → skip (app renders immediately)
→ Store empty? → fetch minimalMetadata endpoint → populate objects + views
→ MetadataProviderInitialEffects (full metadata load, runs in parallel)
→ LazyMetadataLoadEffect (page layouts, logic functions, nav menu, etc.)
→ IsAppMetadataReadyEffect (sets isAppMetadataReady)
```
## Test plan
- [ ] Verify app loads with empty localStorage (should fetch minimal
metadata, then full)
- [ ] Verify app loads with populated localStorage (should skip minimal
fetch, render immediately)
- [ ] Verify SSE events correctly update metadata store for all entity
types
- [ ] Verify logout clears metadata store (atom reset propagates to
localStorage)
- [ ] Verify all metadata selectors return correct joined data
- [ ] CI: lint, typecheck, tests pass
## Summary
- **Removes the entire `modules/favorites/` directory** (~66 files,
~5000 lines deleted) — components, hooks, states, types, utils, tests,
and the favorite-folder-picker sub-module
- **Eliminates the dual-write pattern** where creating a favorite also
created a NavigationMenuItem — all consumers now use
`useCreateNavigationMenuItem` directly
- **Removes `IS_NAVIGATION_MENU_ITEM_EDITING_ENABLED` feature flag
checks** from ~12 files, always taking the NavigationMenuItem code path
- **Cleans up backend dual-writes** in `object-metadata.service.ts` and
`twenty-standard-application.service.ts` that were creating Favorite
records alongside NavigationMenuItems
- **Updates prefetch system** to only load NavigationMenuItems (removes
favorites prefetch effects and states)
- **Cleans up test infrastructure** — updates Storybook decorators, mock
data, and graphql mocks to remove favorites references
### What was intentionally kept
- **Backend entity definitions** (`FavoriteWorkspaceEntity`,
`FavoriteFolderWorkspaceEntity`) — these define the database schema and
need a proper database migration to remove
- **Cascade deletion listeners** — still needed to clean up existing
Favorite data in workspaces that haven't been fully migrated
- **v1.18 migration commands** — needed for workspaces upgrading from
older versions
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
This PR upgrades Apollo Client from v3.10.0 to v4 and refactors error
handling patterns across the codebase to use a new centralized
`useSnackBarOnQueryError` hook.
## Key Changes
- **Dependency Update**: Upgraded `@apollo/client` from `^3.10.0` to
`^3.11.0` in root package.json
- **New Hook**: Added `useSnackBarOnQueryError` hook for centralized
Apollo query error handling with snack bar notifications
- **Error Handling Refactor**: Updated 100+ files to use the new error
handling pattern:
- Removed direct `ApolloError` imports where no longer needed
- Replaced manual error handling logic with `useSnackBarOnQueryError`
hook
- Simplified error handling in hooks and components across multiple
modules
- **GraphQL Codegen**: Updated codegen configuration files to work with
Apollo Client v3.11.0
- **Type Definitions**: Added TypeScript declaration file for
`apollo-upload-client` module
- **Test Updates**: Updated test files to reflect new error handling
patterns
## Notable Implementation Details
- The new `useSnackBarOnQueryError` hook provides a consistent way to
handle Apollo query errors with automatic snack bar notifications
- Changes span across multiple feature areas: auth, object records,
settings, workflows, billing, and more
- All changes maintain backward compatibility while improving code
maintainability and reducing duplication
- Jest configuration updated to work with the new Apollo Client version
https://claude.ai/code/session_019WGZ6Rd7sEHuBg9sTrXRqJ
---------
Co-authored-by: Claude <noreply@anthropic.com>
## Summary
The global `jotaiStore` singleton was shared across all tests without
reset, leaking state between test suites and causing unbounded heap
growth within each Jest worker.
- `getJestMetadataAndApolloMocksWrapper` now creates a **fresh Jotai
store per wrapper** (equivalent of RecoilRoot isolation), so each test
gets clean state
- Added `workerIdleMemoryLimit: '512MB'` to recycle workers that still
accumulate memory
- Set `maxWorkers: 3` for CI
## Performance
Measured on 48 test suites (command-menu + views + object-record hooks),
single worker:
| Metric | Before | After |
|---|---|---|
| Peak heap | **1519 MB** | **~530 MB** (-65%) |
| Final heap | **1519 MB** | **437 MB** (-71%) |
| Growth pattern | Monotonic (never freed) | Bounded sawtooth (recycled
at 512MB) |
## Summary
- update AI chat message typography and list line-height for readability
- apply richer markdown-section styling for headings, spacing,
separators, and inline code
- keep links non-underlined by default with underline on hover, using
accent11 for link color
- preserve previous AI chat table design while keeping other markdown
improvements
## Validation
- yarn eslint
packages/twenty-front/src/modules/ai/components/LazyMarkdownRenderer.tsx
packages/twenty-front/src/modules/ai/components/AIChatMessage.tsx
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
Co-authored-by: Devessier <baptiste@devessier.fr>
## Summary
This PR fixes the `tsconfig` setup in `twenty-front` so that `tsgo -p
tsconfig.json` properly type-checks all files.
### Root Cause
The previous setup used TypeScript project references with `files: []`
in the main `tsconfig.json`. When running `tsgo -p tsconfig.json`, this
checks nothing because `tsgo` requires the `-b` (build) flag for project
references, but the configs weren't set up for composite mode.
### Changes
**Simplified tsconfig architecture (4 files → 2):**
- `tsconfig.json` - All files (dev, tests, stories) for
typecheck/IDE/lint
- `tsconfig.build.json` - Production files only (excludes tests/stories)
**Removed redundant configs:**
- `tsconfig.dev.json`
- `tsconfig.spec.json`
- `tsconfig.storybook.json`
**Updated references:**
- `jest.config.mjs` → uses `tsconfig.json`
- `eslint.config.mjs` → uses `tsconfig.json`
- `vite.config.ts` → uses `tsconfig.json` for dev
**Type fixes (pre-existing errors revealed by proper typechecking):**
- Made `applicationId` optional in `FieldMetadataItem` and
`ObjectMetadataItem`
- Added missing `navigationMenuItem` translation
- Added `objectLabelSingular` to Search GraphQL query
- Fixed `sortMorphItems.test.ts` mock data
## Test plan
- [ ] Run `npx nx typecheck twenty-front` - should pass
- [ ] Run `npx nx lint twenty-front` - should work
- [ ] Run `npx nx test twenty-front` - should work
- [ ] Run `npx nx build twenty-front` - should work
- [ ] Verify IDE type checking works correctly
## 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>
- Create resolvers for each type of charts which needs data
transformation after the group by operation: Bar Chart, Line Chart and
Pie Chart
- Move all the utils to the backend and refactored some into services
This allows all the computation to be done in the backend, improving
performances in the frontend.
## Summary
Moves the custom ESLint rules from `tools/eslint-rules` to
`packages/twenty-eslint-rules` for better organization within the
monorepo packages structure.
## Changes
- Move `eslint-rules` from `tools/` to `packages/twenty-eslint-rules`
- Use `loadWorkspaceRules` from `@nx/eslint-plugin` to load custom rules
- Update all ESLint configs to use the `twenty/` rule prefix instead of
`@nx/workspace-`
- Update `project.json`, `jest.config.mjs` with new paths
- Update `package.json` workspaces and `nx.json` cache inputs
- Update Dockerfile reference
## Technical Details
The custom ESLint rules are now loaded using Nx's `loadWorkspaceRules`
utility which:
- Handles TypeScript transpilation automatically
- Allows loading workspace rules from any directory
- Provides a cleaner approach than the previous `@nx/workspace-`
convention
## Testing
- Verified all 17 custom ESLint rules load correctly from the new
location
- Verified linting works on dependent packages (twenty-front,
twenty-server, etc.)
# Introduction
When creating a view with v2 flag activated in production result in race
condition due to request being slow and //.
That's why we're introducing a batch create on view field here
closing https://github.com/twentyhq/core-team-issues/issues/1836
## In v2
- batch create view field endpoint is available
- frontend will target the new endpoint
## In v1
- batch create view field endpoint is not available
- frontend will stick to old fake batch view field creation loop
## Polish
- use persist view field is quite verbose as contains two data model we
could aim to create an update many view fields in order to standardize
new pattern
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>
Parallel code path to read and write core views when
IS_CORE_VIEW_ENABLED.
Migrated view key to an enum.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Co-authored-by: Lucas Bordeau <bordeau.lucas@gmail.com>
Charles Bochet