## Summary
- Adds an object type filter dropdown to the side panel, allowing users
to scope record search results to a specific object type (e.g. People,
Companies, Opportunities)
- The filter appears as a funnel icon next to the search input in both
the global search (SearchRecords page) and the "Pick a record" sidebar
flow
- Replaces the AI sparkles button on the search records page with the
filter icon
- Uses colored icons matching the navigation menu style
(NavigationMenuItemStyleIcon + getStandardObjectIconColor)
## Test plan
- [ ] Open the side panel, type something to enter SearchRecords mode,
verify the filter icon appears
- [ ] Click the filter icon, verify the dropdown opens with "Object"
header, search input, "All Objects" and individual object types with
colored icons
- [ ] Select an object type, verify only records of that type appear in
search results
- [ ] Select "All Objects", verify all record types appear again
- [ ] Verify the filter icon turns blue when a filter is active
- [ ] In layout customization mode, add a new sidebar item > Record,
verify the filter dropdown also works there
- [ ] Close and reopen the side panel, verify the filter resets to "All
Objects"
- [ ] Verify the AI sparkles button no longer appears on the command
menu root page
- [ ] Verify the AI edit icon still appears on Ask AI pages
Made with [Cursor](https://cursor.com)
## Summary
- Consolidates duplicated auth-context-to-role-ID resolution logic
(previously in
`PermissionsService.resolveRolePermissionConfigFromAuthContext` and
`CommonBaseQueryRunnerService.getRoleIdOrThrow`) into a single pure
utility function `resolveRolePermissionConfig` in the ORM layer
- The utility is synchronous and operates on cached data
(`userWorkspaceRoleMap`, `apiKeyRoleMap`) already loaded into the
workspace context — no async calls, no service dependencies
- Adds `apiKeyRoleMap` to `ORMWorkspaceContext` (it was already in the
workspace cache, just not loaded into the ORM context)
- Removes `PermissionsService` dependency from
`NavigationMenuItemRecordIdentifierService`
- Removes `UserRoleService` and `ApiKeyRoleService` injections from
`CommonBaseQueryRunnerService`
## Test plan
- [ ] Existing typecheck passes (`npx nx typecheck twenty-server`)
- [ ] Verify record identifier resolution still works for navigation
menu items (user, system, API key, and application auth contexts)
- [ ] Verify GraphQL CRUD queries still enforce correct role-based
permissions
- [ ] Verify API key authenticated requests resolve permissions
correctly
Made with [Cursor](https://cursor.com)
## Summary
Fixes#12962
- Adds a two-pass ILIKE fallback to the global search service
(`search.service.ts`)
- **Fast path**: runs the tsvector query first (uses GIN index,
sub-millisecond)
- **Fallback**: only if tsvector returns fewer results than the limit,
runs an ILIKE query on `searchVector::text` to catch cases where
PostgreSQL's `simple` text search config fails to tokenize (continuous
CJK text, etc.)
- Zero performance impact for the common case (Latin text where tsvector
works)
- Also adds `escapeForIlike` utility to properly escape `%`, `_`, `\` in
user input
### Why tsvector fails for CJK
PostgreSQL's `simple` config treats continuous CJK text as a single
lexeme:
- `to_tsvector('simple', '示例商业线索')` → `'示例商业线索':1`
- Searching `商业:*` only prefix-matches from the start, so it misses `商业`
in the middle
The ILIKE fallback catches these substring matches when the tsvector
path can't.
### What this fixes
- Global search (command menu / sidebar)
- Relation picker (single and multi-object)
- Morph relation picker
All three use `search.service.ts` under the hood.
Co-authored-by: mykh-hailo (original direction in #18021)
## Test plan
- [ ] Search `示例` with records `示例商业线索` and `示例-商业-线索` → both should
appear
- [ ] Search `商业` → both should appear (previously only the hyphenated
one did)
- [ ] Search for Latin text (e.g. `john`) → same performance, results
unchanged
- [ ] Relation picker search with CJK text → results appear
- [ ] Search input with special chars like `%` or `_` → no SQL
injection, results correct
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: mykh-hailo <mykh-hailo@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
## Fix resolver schema leaking between `/metadata` and `/graphql`
endpoints
### Summary
- Patch `@nestjs/graphql` to support a `resolverSchemaScope` option that
filters resolvers at both schema generation and runtime, preventing
cross-endpoint leaking
- Introduce `@CoreResolver()` and `@MetadataResolver()` decorators to
explicitly scope each resolver to its endpoint
- Move most resolvers (auth, billing, workspace, user, etc.) to the
metadata schema where the frontend expects them; only workflow and
timeline calendar/messaging resolvers remain on `/graphql`
- Fix frontend `SSEQuerySubscribeEffect` to use the default (metadata)
Apollo client instead of the core client
### Problem
NestJS GraphQL's module-based resolver discovery traverses transitive
imports, causing resolvers from `/metadata` modules to leak into the
`/graphql` schema and vice versa. This made the schemas unpredictable
and tightly coupled to module import order.
### Approach
- Added `resolverSchemaScope` to `GqlModuleOptions` via a patch on
`@nestjs/graphql`, filtering in both `filterResolvers()` (runtime
binding) and `getAllCtors()` (schema generation)
- Each resolver is explicitly decorated with `@CoreResolver()` or
`@MetadataResolver()`
- Organized decorator, constant, and type files under `graphql-config/`
following project conventions
Core GQL Schema: (see: no more fields!)
<img width="827" height="894" alt="image"
src="https://github.com/user-attachments/assets/668f3f0f-485e-43f0-92be-4345aeccacb6"
/>
Metadata GQL Schema (see no more getTimelineCalendarEventsFromCompany)
<img width="827" height="894" alt="image"
src="https://github.com/user-attachments/assets/443913db-e5fe-4161-b0e7-4a971cc80a71"
/>
# Introduction
In preparation of the workspace agnostic builder, we're migrating
`FlatEntityMaps` to be universal identifier oriented and based
As in the builder context there're won't be any ids at all
Please also note that the FlatEntity is a UniversalFlatEntity superset
From
```ts
import { type SyncableFlatEntity } from 'src/engine/metadata-modules/flat-entity/types/flat-entity-from.type';
export type FlatEntityMaps<T extends SyncableFlatEntity> = {
byId: Partial<Record<string, T>>;
idByUniversalIdentifier: Partial<Record<string, string>>;
universalIdentifiersByApplicationId: Partial<Record<string, string[]>>;
};
```
To
```ts
export type FlatEntityMaps<
T extends SyncableFlatEntity | UniversalSyncableFlatEntity,
> = {
byUniversalIdentifier: Partial<Record<string, T>>;
universalIdentifierById: Partial<Record<string, string>>;
universalIdentifiersByApplicationId: Partial<Record<string, string[]>>; // this might make more sense to be migrated to universalIdentifiersByApplicationUniversalIdentifier but it's the main topic of this PR
};
```
## Low level maps tools
Had to refactor find | create | delete | replace | find-many | get-sub
tools ( through mutations and or throw equivalent )
## Context
Introduces a middleware that automatically sets the workspace auth
context in AsyncLocalStorage for HTTP requests, making it available
throughout the request lifecycle without explicit parameter passing.
The motivation behind this change is to reduce boilerplate and simplify
the developer experience when working with workspace data in HTTP
request handlers.
The Problem (Before)
Every HTTP request handler that needed to access workspace data had to:
- Extract auth-related info from decorators (@AuthWorkspace(),
@AuthUserWorkspaceId(), etc.) in controller/resolver and pass down to
services
- Build or pass the authContext explicitly (sometimes with type
assertion which was flaky)
Then call executeInWorkspaceContext(authContext, async () => { ... })
## Changes
- Add WorkspaceAuthContextMiddleware that extracts auth context from the
request and stores it in AsyncLocalStorage
- Register middleware for GraphQL, metadata, and REST routes (runs after
hydration middlewares)
- Simplify executeInWorkspaceContext signature: fn is now the first
parameter, authContext is optional second
- If authContext is not provided, it's automatically retrieved from the
storage (set by middleware)
- Update all callers (~120 files) to use the new parameter order
- Fixes a bug in search where system auth context was used, bypassing
RLS feature.
**Summary**
Issue #16963: When an object is renamed, the morph relation picker still
shows the old name.
**Root cause**
The picker used searchRecord.objectNameSingular from the GraphQL search
response, which can be stale after a rename.
The search record stores the object name at query time, not the current
metadata.
**Solution**
- Updated SingleRecordPickerMenuItem:
- Added useObjectMetadataItems to access current object metadata.
- Look up the current object metadata by morphItem.objectMetadataId.
- Use labelSingular (or nameSingular as fallback) instead of
searchRecord.objectNameSingular for display.
- Updated MultipleRecordPickerMenuItemContent:
- Use objectMetadataItem.labelSingular (already available as a prop)
instead of searchRecord.objectNameSingular.
---------
Co-authored-by: Marie Stoppa <marie.stoppa@essec.edu>
Two challenges with error messages
- always provide a useful/meaningful error message for the end user
instead of the generic one. eg: show "Wrong password" and not "An error
occured"
- avoid technical details unless error regards a technical feature. eg:
show "An error occured" and not "Invalid post-hook payload."; but do
show "Invalid issuer URL." as it occurs while configuring SSO
What this PR does
- Make userFriendlyMessage mandatory for widely used
GraphqlQueryRunnerException and CommonQueryRunnerException, so that
developers are forced to ask themselves what the error message should
be, and as it contains very wide error codes (eg: "Bad request") which
should not be mapped to just one default message
- Keep userFriendlyMessage optional for service-specific exceptions (eg:
workflowStepExecutorException), but convert the error code to
userFriendlyMessage mapper to a switch case function with a typecheck
ensuring that all codes are mapped to a message. These default messages
are still overridable where they are thrown.
## Summary
This PR enforces that all custom exceptions must provide a
`userFriendlyMessage`, ensuring end users always see readable error
messages.
## Changes
### Core Changes
- **`CustomException` simplified**: Removed the `ForceFriendlyMessage`
generic parameter - `userFriendlyMessage` is now always required
- **Type safety**: The constructor now requires `{ userFriendlyMessage:
MessageDescriptor }` (no longer optional)
### Updated Files
- **74+ exception classes** updated to provide default user-friendly
messages using Lingui `msg` macro
- Each exception class has a sensible fallback message (e.g., `msg\`An
authentication error occurred.\``)
- Exception classes that had code-specific message maps retain their
behavior
## Benefits
- **Compile-time enforcement**: Forgetting to add a user-friendly
message now causes a TypeScript error
- **Better UX**: End users always see a localized, human-readable error
message
- **Simpler API**: No more boolean generic parameter to think about
## Testing
- `npx nx run twenty-server:typecheck` passes
- `npx nx run twenty-server:lint` passes
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Enforces `userFriendlyMessage` on `CustomException` and updates all
exception classes to supply localized default messages, with
filters/tests adjusted accordingly.
>
> - **Core**:
> - Enforce required `userFriendlyMessage` in `CustomException` (remove
optional generic; constructor now requires `{ userFriendlyMessage:
MessageDescriptor }`).
> - **Exceptions**:
> - Update ~70+ exception classes to set default localized messages via
Lingui `msg` maps and pass them in constructors (e.g., `AuthException`,
`ObjectMetadataException`, `FieldMetadataException`, etc.).
> - Add fallback messages where needed (e.g., `INTERNAL_SERVER_ERROR` or
domain-specific defaults).
> - **HTTP/GraphQL Filters**:
> - Ensure fallbacks create `UnknownException` with `msg` for
user-friendly text in REST/GraphQL exception filters.
> - **Tests**:
> - Adjust unit tests to pass `userFriendlyMessage` to exceptions.
> - Update Jest snapshots to include `extensions.userFriendlyMessage` or
message objects where applicable.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
221004fdfc. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
## Context
Following https://github.com/twentyhq/twenty/pull/16399
Now using the new global orm manager everywhere and returning a
GlobalDatasource/WorkspaceDatasource based on a feature flag.
This means we now need to wrap all our ORM calls within
executeInWorkspaceContext callback (at least for now) so the global
datasource can dynamically hydrate its context via the new store (the
global datasource does not store anything related to workspaces as it is
now a unique singleton). If feature flag is off it still uses local data
stored in the workspace datasource.
## Context
Deprecating TwentyORMManager in favor of TwentyORMGlobalManager
(temporarily, as this will simplify the ultimate goal to later replace
all usages with the new TwentyORMGlobalManagerV2 which will have a
similar signature)
This means this PR had to refactor a bit of code to pass down the
workspaceId when not available directly as it is now a requirement,
meaning we also deprecated scopedWorkspaceContextFactory to have a less
obscure way to fetch the workspaceId and have something more
declarative.
Step 3 will be to update TwentyORMGlobalManager to use a featureFlag
toggling and use the new GlobalWorkspaceOrmManager internally using the
new cache service
Step 4 will be to remove the feature flag and pg_pool patch
## Context
Deprecating the old objectMetadataMap type in favour of split flat
entities to match with our new caching.
In the long run, trying to achieve:
- Better performance through caching
- Consistent data access patterns across the codebase
- Reduced database queries
Now that everything is based on flat entities, which are cached, we can
finish the refactoring of workspace context cache which should already
improve performances.
Then the last step will be to consume that new cache in the new global
datasource to get rid of the many workspace datasources stored in the
server
## Overview
This PR replaces the dynamic agent handoff system with a more
predictable planning-based router that decides upfront how to handle
multi-agent coordination.
## Major Changes
### 🔄 Architecture Shift: Handoffs → Planning
**Removed:**
- `AgentHandoffEntity` and handoff tracking system
- `AgentHandoffService` and `AgentHandoffExecutorService`
- Dynamic agent-to-agent transfers during execution
- Handoff tool generation and description templates
**Added:**
- `AiRouterService` with two strategies: `simple` (single agent) and
`planned` (multi-agent)
- `AgentPlanExecutorService` for executing multi-step plans
- Plan validation (cycle detection, dependency resolution)
- `UnifiedRouterResult` type with discriminated union
### 🤖 New Standard Agents
Added two new specialized agents:
- **Researcher Agent**: Web search, fact-finding, competitive
intelligence
- **Code Agent**: TypeScript function generation for serverless
workflows
### 🏗️ Router Refactoring (Latest)
Split router responsibilities into focused services:
- `AiRouterStrategyDeciderService`: Decides simple vs planned strategy
- `AiRouterPlanGeneratorService`: Generates and validates execution
plans
- `AiRouterService`: Coordinates between services (reduced from 426→275
lines)
### ⚙️ Configuration Improvements
- Added `outputStrategy` to agent definitions (`direct` vs `synthesize`)
- Removed hardcoded special cases for workflow-builder
- Added `plannerModel` field to workspace entity
- Increased `MAX_STEPS` from 10 to 25 for complex workflows
### 📝 Agent Prompt Refinements
Significantly simplified prompts for better clarity:
- Workflow Builder: 51→36 lines
- Helper: 49→28 lines
- Data Manipulator: Enhanced with sorting guidance
### 🔍 Enhanced Debugging
- Plan reasoning and step count in data message parts
- Router debug info with token usage tracking
- Better logging throughout execution pipeline
## Benefits
1. **Simpler Mental Model**: Router decides upfront vs dynamic transfers
2. **Better Predictability**: Users see the plan before execution
3. **Cleaner Architecture**: SRP with focused services
4. **Configuration Over Code**: Agent behavior via config, not hardcoded
logic
5. **Plan Validation**: Catches invalid dependencies and cycles
## Migration Notes
- Database migration removes `agentHandoff` table
- Adds `plannerModel` column to workspace table
- No API breaking changes (agent endpoints unchanged)
## Testing
- Integration tests updated to remove handoff dependencies
- Agent tool test utilities simplified
- Plan validation covered by new logic
## Next Steps (Future PRs)
- Parallel execution of independent plan steps
- Dynamic re-planning based on results
- Plan caching for common routing patterns
- Error recovery strategies in plan executor
## Context
Deprecating legacy ObjectMetadata from cache in favor of flat entities.
Introducing utils to build byName/byNameSingular/byNamePlural in
isolated cases
## Next
- I had to introduce a util to build from flat to legacy
objectMetadataMaps, we should instead use flat maps directly when needed
(datasource, schema generation, etc)
- Deprecate metadata version in the cache
- Use the new cache strategy for flat entities with permissions and
feature flags and inject in the global datasource context
This PR implements the necessary tools to have `react-datepicker`
calendar and our date picker components work reliably no matter the
timezone difference between the user execution environment and the user
application timezone.
Fixes https://github.com/twentyhq/core-team-issues/issues/1781
This PR won't cover everything needed to have Twenty handle timezone
properly, here is the follow-up issue :
https://github.com/twentyhq/core-team-issues/issues/1807
# Features in this PR
This PR brings a lot of features that have to be merged together.
- DATE field type is now handled as string only, because it shouldn't
involve timezone nor the JS Date object at all, since it is a day like a
birthday date, and not an absolute point in time.
- DATE_TIME field wasn't properly handled when the user settings
timezone was different from the system one
- A timezone abbreviation suffix has been added to most DATE_TIME
display component, only when the timezone is different from the system
one in the settings.
- A lot of bugs, small features and improvements have been made here :
https://github.com/twentyhq/core-team-issues/issues/1781
# Handling of timezones
## Essential concepts
This topic is so complex and easy to misunderstand that it is necessary
to define the precise terms and concepts first. It resembles character
encoding and should be treated with the same care.
- Wall-clock time : the time expressed in the timezone of a user, it is
distinct from the absolute point in time it points to, much like a
pointer being a different value than the value that it points to.
- Absolute time : a point in time, regardless of the timezone, it is an
objective point in time, of course it has to be expressed in a given
timezone, because we have to talk about when it is located in time
between humans, but it is in fact distinct from any wall clock time, it
exists in itself without any clock running on earth. However, by
convention the low-level way to store an absolute point in time is in
UTC, which is a timezone, because there is no way to store an absolute
point in time without a referential, much like a point in space cannot
be stored without a referential.
- DST : Daylight Save Time, makes the timezone shift in a specific
period every year in a given timezone, to make better use of longer days
for various reasons, not all timezones have DST. DST can be 1 hour or 30
min, 45 min, which makes computation difficult.
- UTC : It is NOT an “absolute timezone”, it is the wall-clock time at
0° longitude without DST, which is an arbitrary and shared human
convention. UTC is often used as the standard reference wall-clock time
for talking about absolute point in time without having to do timezone
and DST arithmetic. PostgreSQL stores everything in UTC by convention,
but outputs everything in the server’s SESSION TIMEZONE.
## How should an absolute point in time be stored ?
Since an absolute point in time is essentially distinct from its
timezone it could be stored in an absolute way, but in practice it is
impossible to store an absolute point in time without a referential. We
have to say that a rocket launched at X given time, in UTC, EST, CET,
etc. And of course, someone in China will say that it launched at 10:30,
while in San Francisco it will have launched at 19:30, but it is THE
SAME absolute point in time.
Let’s take a related example in computer science with character
encoding. If a text is stored without the associated encoding table, the
correct meaning associated to the bits stored in memory can be lost
forever. It can become impossible for a program to guess what encoding
table should be used for a given text stored as bits, thus the glitches
that appeared a lot back in the early days of internet and document
processing.
The same can happen with date time storing, if we don’t have the
timezone associated with the absolute point in time, the information of
when it absolutely happened is lost.
It is NOT necessary to store an absolute point in time in UTC, it is
more of a standard and practical wall-clock time to be associated with
an absolute point in time. But an absolute point in time MUST be store
with a timezone, with its time referential, otherwise the information of
when it absolutely happened is lost.
For example, it is easier to pass around a date as a string in UTC, like
`2024-01-02T00:00:00Z` because it allows front-end and back-end code to
“talk” in the same standard and DST-free wall-clock time, BUT it is not
necessary. Because we have date libraries that operate on the standard
ISO timezone tables, we can talk in different timezone and let the
libraries handle the conversion internally.
It is false to say that UTC is an absolute timezone or an absolute point
in time, it is just the standard, conventional time referential, because
one can perfectly store every absolute points in time in UTC+10 with a
complex DST table and have the exactly correct absolute points in time,
without any loss of information, without having any UTC+0 dates
involved.
Thus storing an absolute point in time without a timezone associated,
for example with `timestamp` PostgreSQL data type, is equivalent to
storing a wall-clock time and then throwing away voluntarily the
information that allows to know when it absolutely happened, which is a
voluntary data-loss if the code that stores and retrieves those
wall-clock points in time don’t store the associated timezone somewhere.
This is why we use `timestamptz` type in PostgreSQL, so that we make
sure that the correct absolute point in time is stored at the exact time
we send it to PostgreSQL server, no matter the front-end, back-end and
SQL server's timezone differences.
## The JavaScript Date object
The native JavaScript Date object is now officially considered legacy
([source](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date)),
the Date object stores an absolute point in time BUT it forces the
storage to use its execution environment timezone, and one CANNOT modify
this timezone, this is a legacy behavior.
To obtain the desired result and store an absolute point in time with an
arbitrary timezone there are several options :
- The new Temporal API that is the successor of the legacy Date object.
- Moment / Luxon / @date-fns/tz that expose objects that allow to use
any timezone to store an absolute point in time.
## How PostgreSQL stores absolute point in times
PostgreSQL stores absolute points in time internally in UTC
([source](https://www.postgresql.org/docs/current/datatype-datetime.html#DATATYPE-DATETIME-INPUT-TIME-STAMPS)),
but the output date is expressed in the server’s session timezone
([source](https://www.postgresql.org/docs/current/sql-set.html)) which
can be different from UTC.
Example with the object companies in Twenty seed database, on a local
instance, with a new “datetime” custom column :
<img width="374" height="554" alt="image"
src="https://github.com/user-attachments/assets/4394cb43-d97e-4479-801d-ca068f800e39"
/>
<img width="516" height="524" alt="image"
src="https://github.com/user-attachments/assets/b652f36a-d2e2-47a4-8950-647ca688cbbd"
/>
## Why can’t I just use the JavaScript native Date object with some
manual logic ?
Because the JavaScript Date object does not allow to change its internal
timezone, the libraries that are based on it will behave on the
execution environment timezone, thus leading to bugs that appear only on
the computers of users in a timezone but not for other in another
timezone.
In our case the `react-datepicker` library forces to use the `Date`
object, thus forcing the calendar to behave in the execution environment
system timezone, which causes a lot of problems when we decide to
display the Twenty application DATE_TIME values in another timezone than
the user system one, the bugs that appear will be of the off-by-one date
class, for example clicking on 23 will select 24, thus creating an
unreliable feature for some system / application timezone combinations.
A solution could be to manually compute the difference of minutes
between the application user and the system timezones, but that’s not
reliable because of DST which makes this computation unreliable when DST
are applied at different period of the year for the two timezones.
## Why can’t I compute the timezone difference manually ?
Because of DST, the work to compute the timezone difference reliably,
not just for the usual happy path, is equivalent to developing the
internal mechanism of a date timezone library, which is equivalent to
use a library that handles timezones.
## Using `@date-fns/tz` to solve this problem
We could have used `luxon` but it has a heavy bundle size, so instead we
rely here on `@date-fns/tz` (~1kB) which gives us a `TZDate` object that
allows to use any given timezone to store an absolute point-in-time.
The solution here is to trick `react-datepicker` by shifting a Date
object by the difference of timezone between the user application
timezone and the system timezone.
Let’s take a concerte example.
System timezone : Midway, ⇒ UTC-11:00, has no DST.
User application timezone : Auckland, NZ ⇒ UTC+13:00, has a DST.
We’ll take the NZ daylight time, so that will make a timezone difference
of 24 hours !
Let’s take an error-prone date : `2025-01-01T00:00:00` . This date is
usually a good test-case because it can generate three classes of bugs :
off-by-one day bugs, off-by-one month bugs and off-by-one year bugs, at
the same time.
Here is the absolute point in time we take expressed in the different
wall-clock time points we manipulate
Case | In system timezone ⇒ UTC-11 | In UTC | In user application
timezone ⇒ UTC+13
-- | -- | -- | --
Original date | `2024-12-31T00:00:00-11:00` | `2024-12-31T11:00:00Z` |
`2025-01-01T00:00:00+13:00`
Date shifted for react-datepicker | `2025-01-01T00:00:00-11:00` |
`2025-01-01T11:00:00Z` | `2025-01-02T00:00:00+13:00`
We can see with this table that we have the number part of the date that
is the same (`2025-01-01T00:00:00`) but with a different timezone to
“trick” `react-datepicker` and have it display the correct day in its
calendar.
You can find the code in the hooks
`useTurnPointInTimeIntoReactDatePickerShiftedDate` and
`useTurnReactDatePickerShiftedDateBackIntoPointInTime` that contain the
logic that produces the above table internally.
## Miscellaneous
Removed FormDateFieldInput and FormDateTimeFieldInput stories as they do
not behave the same depending of the execution environment and it would
be easier to put them back after having refactored FormDateFieldInput
and FormDateTimeFieldInput
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
## ✨ Add accent-insensitive search functionality
### 🎯 Overview
Implements accent-insensitive search across all searchable fields in
Twenty CRM.
Users can now search for "jose" to find "José", "muller" to find
"Müller", "cafe" to find "café", etc.
### 🔍 Problem
Twenty's search functionality was accent-sensitive, requiring users to
type exact accented characters to find records.
This created a poor user experience, especially for international names
and content.
### 💡 Solution
Added PostgreSQL `unaccent` extension with a custom immutable wrapper
function to enable accent-insensitive full-text search across all
searchable field types.
### 📋 Changes Made
**Modified Files:**
- `packages/twenty-server/scripts/setup-db.ts`
-
`packages/twenty-server/src/engine/api/graphql/graphql-query-runner/utils/compute-where-condition-parts.ts`
-
`packages/twenty-server/src/engine/workspace-manager/workspace-sync-metadata/utils/get-ts-vector-column-expression.util.ts`
### 🗄️ Database Setup (`setup-db.ts`)
```sql
-- Added unaccent extension
CREATE EXTENSION IF NOT EXISTS "unaccent";
-- Created immutable wrapper function
CREATE OR REPLACE FUNCTION unaccent_immutable(text) RETURNS text AS $$
SELECT public.unaccent($1)
$$ LANGUAGE sql IMMUTABLE;
```
### 🔍 Search Vector Generation
(`get-ts-vector-column-expression.util.ts`)
Applied `public.unaccent_immutable()` to all searchable field types:
- TEXT fields (job titles, names, etc.)
- FULL_NAME fields (first/last names)
- EMAILS fields (both email address and domain)
- ADDRESS fields
- LINKS fields
- RICH_TEXT and RICH_TEXT_V2 fields
### 🔎 Query Processing (`compute-where-condition-parts.ts`)
Enhanced search queries to use `public.unaccent_immutable()` for both:
- Full-text search (`@@` operator with `to_tsquery`)
- Pattern matching (`ILIKE` operator)
### 🧠 Technical Rationale: Why the Wrapper Function?
**The Challenge:**
PostgreSQL's built-in `unaccent()` is marked as **STABLE**, but
`GENERATED ALWAYS AS` expressions (used for search vector columns)
require **IMMUTABLE** functions.
**The Solution:**
Created an IMMUTABLE wrapper function that calls the underlying
`unaccent()` function:
- ✅ Satisfies PostgreSQL's immutability requirements for generated
columns
- ✅ Maintains the exact same functionality as the original `unaccent()`
- ✅ Uses fully qualified `public.unaccent_immutable()` to ensure
function resolution from workspace schemas
**Alternative Approaches Considered:**
- ❌ Modifying `search_path`: would affect workspace isolation
- ❌ Computing unaccent at query time: would hurt performance
- ❌ Using triggers: would complicate data consistency
### 🎯 Impact
For **Person** records, accent-insensitive search now works on:
- Name (first/last name): `"jose garcia"` finds `"José García"`
- Email: `"jose@cafe.com"` finds `"josé@café.com"`
- Job Title: `"manager"` finds `"Managér"` or `"Gerente de Café"`
Applies to all searchable standard objects:
- Companies, People, Opportunities, Notes, Tasks, etc.
- Any custom fields of searchable types (TEXT, EMAILS, etc.)
### ✅ Testing
- Database reset completes successfully
- Workspace seeding works without errors
- Search vectors generate with unaccent functionality
- All searchable field types properly handle accented characters
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Fixes https://github.com/twentyhq/twenty/issues/12867
Issue:
when you have a variable `toto` which is: `Record<string, MyType>` and
you do toto['xxx'], this will be typed as `MyType` instead of `MyType |
undefined`
Solutions:
- activate `noUncheckedIndexedAccess` check in tsconfig, this is the
preferred solution but will take time to get there (this raises 600+
errors)
- use a Map: cf https://github.com/twentyhq/twenty/pull/13125/files
- set the type to Partial<Record<string, MyType>>. Drawback is that when
you do Object.values(toto), you'll get `Array<MyType | undefined>`.
Hence why we have to filter these behind
<img width="1512" alt="image"
src="https://github.com/user-attachments/assets/d0a0bfed-c441-4e53-84c2-2da98ccbcf50"
/>
In this PR:
## Improve recompute metadata cache performance. We are aiming for
~100ms
Deleting relationMetadata table and FKs pointing on it
Fetching indexMetadata and indexFieldMetadata in a separate query as
typeorm is suboptimizing
## Remove caching lock
As recomputing the metadata cache is lighter, we try to stop preventing
multiple concurrent computations. This also simplifies interfaces
## Introduce self recovery mecanisms to recompute cache automatically if
corrupted
Aka getFreshObjectMetadataMaps
## custom object resolver performance improvement: 1sec to 200ms
Double check queries and indexes used while creating a custom object
Remove the queries to db to use the cached objectMetadataMap
## reduce objectMetadataMaps to 500kb
<img width="222" alt="image"
src="https://github.com/user-attachments/assets/2370dc80-49b6-4b63-8d5e-30c5ebdaa062"
/>
We used to stored 3 fieldMetadataMaps (byId, byName, byJoinColumnName).
While this is great for devXP, this is not great for performances.
Using the same mecanisme as for objectMetadataMap: we only keep byIdMap
and introduce two otherMaps to idByName, idByJoinColumnName to make the
bridge
## Add dataloader on IndexMetadata (aka indexMetadataList in the API)
## Improve field resolver performances too
## Deprecate ClientConfig
We were using a global ValidationPipe in main.ts. This is an issue as
@Controllers should return HttpExecption and @Resolvers should return
GraphqlErrors
Removing the global pipe and creating a ResolverValidationPipe able to
generate GraphqlError. We also need to handle the exception in a filter
to avoid nest to think it's unhandled and make it flow to logs
Next step:
- it would be nice to have both @UsePipes(ResolverValidationPipe) +
@UseFilters(GraphqlValidationExceptionFilter) come together. This should
be possible if we create a @GraphQLResolver annotation
We must separate the concept of hydratation which happens at the request
level (take the token and pass auth/user context), from the concept of
authorization which happens at the query/endpoint/mutation level.
Previously, hydratation exemption happened at the operation name level
which is not correct because the operation name is meaningless and
optional. Still this gave an impression of security by enforcing a
blacklist. So in this PR we introduce linting rule that aim to achieve a
similar behavior, now every api method has to have a guard. That way if
and endpoint is not protected by AuthUserGuard or AuthWorspaceGuard,
then it has to be stated explicitly next to its code.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
This PR attemps at improving sentry grouping and filtering by
- Using the exceptionCode as the fingerprint when the error is a
customException. For this to work in this PR we are now throwing
customExceptions instead of internalServerError deprived of their code.
They will still be converted to Internal server errors when sent back as
response
- Filtering 4xx issues where it was missing (for emailVerification
because errors were not handled, for invalid captcha and billing errors
because they are httpErrors and not graphqlErrors)
---------
Co-authored-by: Félix Malfait <felix@twenty.com>
This is a first PR to remove old relation logic
Next steps:
- remove relationMetadata from cache
- remove relationMetadata table content and structure
- refactor relationDefinition to leverage field.settings instead
#11370 & #11402
### Changes made:
1. Updated search.service.ts to properly handle workspace member avatar
and Person Avatar URLs with authentication tokens
2. Integrated FileService for token generation
3. Added FileModule to SearchModule for dependency injection
### Implementation details:
- Used getImageUrlWithToken to append authentication tokens to avatar
URLs specifically for workspace members
---------
Co-authored-by: etiennejouan <jouan.etienne@gmail.com>
