## Summary
Closes#20195
Fix phone field unique constraints so phone numbers are considered
unique by both `primaryPhoneNumber` and `primaryPhoneCallingCode`.
- Include `primaryPhoneCallingCode` in the shared phone composite unique
constraint metadata
- Align the frontend settings composite field config with the backend
metadata
- Return all included unique composite subfields when building
create-many conflict fields
- Match composite unique conflict fields as a group during create-many
upserts
## Root Cause
Phone composite metadata only marked `primaryPhoneNumber` as part of the
unique constraint. That made different international phone numbers with
the same national number conflict, for example `+1 123456789` and `+32
123456789`.
## Test Plan
- `yarn workspace twenty-shared build`
- `jest --runTestsByPath <index action handler and create-many utility
specs>`
- `prettier --check <touched files>`
- `oxlint --type-aware <touched files>`
- `nx run twenty-shared:typecheck`
- `nx run twenty-server:typecheck`
- `nx run twenty-front:typecheck`
---------
Co-authored-by: mkdev11 <MkDev11@users.noreply.github.com>
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.com>
Co-authored-by: prastoin <paul@twenty.com>
## Summary
`joinColumnName` on relation field settings is always derivable from the
field name (and the target object name for morph relations). This PR
stops reading it from settings anywhere in production code; the stored
value is no longer used.
The settings field is **not** removed from data yet — a follow-up can
drop it once we are confident nothing depends on the stored value.
## Helpers
The helpers are split by layer because frontend and backend hold morph
relations differently: the frontend has a base name plus a
`morphRelations[]` array, the backend has one row per target with the
name already morph-resolved.
| Helper | Layer | When to use |
|---|---|---|
| `computeRelationGqlFieldJoinColumnName` | Shared / frontend
(`gqlField`) | Non-morph relation on the frontend. |
| `computeMorphRelationGqlFieldName` | Shared / frontend (`gqlField`) |
Need the per-target morph gqlField name (e.g. `targetCompany`). |
| `computeMorphRelationGqlFieldJoinColumnName` | Shared / frontend
(`gqlField`) | Per-target morph join column on the frontend. Prefer over
the non-morph helper for any morph field — it forces the per-target
inputs. |
| `computeMorphOrRelationFieldJoinColumnName` | Backend
(`FlatFieldMetadata.name`) | Any backend read or write — the flat name
is already morph-resolved, so one helper covers both cases. |
| `computeMorphRelationFlatFieldName` | Backend
(`FlatFieldMetadata.name`) | **Mutation paths only** (create / update /
object rename). Reads consume the stored `field.name` and never call
this. |
## Test plan
- [x] Typecheck and lint (front, server, shared)
- [x] Existing unit tests pass
- [ ] CI green
## Summary
- Converts applicationVariable from a bespoke sync path to a proper
SyncableEntity,
unifying it with the workspace migration pipeline used by all other
manifest-managed
entities (agent, skill, frontComponent, webhook, etc.)
- Removes the upsertManyApplicationVariableEntities method and its
direct-DB-mutation
approach in favor of the standard validate → build → run action handler
pipeline
- Adds universalIdentifier, deletedAt columns and makes applicationId
NOT NULL via an
instance command migration
## Motivation
Before this change, applicationVariable was the only manifest-managed
entity that bypassed
ApplicationManifestMigrationService.syncMetadataFromManifest(). It used
a bespoke service
method called directly from syncApplication(), creating two mental
models, two validation
styles, and two cache invalidation patterns. Now there's one unified
pipeline for all
manifest entities.
## What changed
### Entity refactor:
- ApplicationVariableEntity now extends SyncableEntity (gains
universalIdentifier,
non-nullable applicationId with CASCADE, soft-delete via deletedAt)
### New flat entity layer (flat-application-variable/):
- Type, maps type, editable properties constant, entity-to-flat
converter, cache service,
module
### New migration pipeline wiring:
- Manifest converter
(fromApplicationVariableManifestToUniversalFlatApplicationVariable)
- Validator service (FlatApplicationVariableValidatorService)
- Builder service
(WorkspaceMigrationApplicationVariableActionsBuilderService)
- Create/Update/Delete action handlers with secret encryption hooks
- Registered in orchestrator, builder module, runner module, and all
type registries
### Removed bespoke path:
- Deleted upsertManyApplicationVariableEntities from
ApplicationVariableEntityService
- Removed its call from ApplicationSyncService.syncApplication()
- Kept update() (operator-set value at runtime) and getDisplayValue()
(runtime display)
### Database migration:
- Instance command to add columns, backfill universalIdentifier, enforce
NOT NULL
constraints, and update indexes
## Test plan
- npx nx typecheck twenty-server passes (0 errors)
- Unit tests pass (application-variable.service.spec.ts,
build-env-var.spec.ts)
- Install an app with applicationVariables in its manifest → variables
appear with correct
universalIdentifier
- Update app manifest (add/remove/modify a variable) → migration
pipeline handles diff
correctly
- Operator-set value via update endpoint persists correctly with
encryption
- Uninstall app → variables cascade-deleted
- app dev --once on example app syncs without errors
# Summary
(fixes#20044)
This PR implements two fixes for the REST API to enforce stricter
validation and provide better error messages.
Issue 1: Cursor parameter silently ignored
Problem: When users provided common cursor aliases (e.g., cursor, after,
before) instead of the correct parameter names (starting_after,
ending_before), the API silently ignored them and returned page 1 on
every request.
Solution: Added strict validation to detect common cursor aliases and
throw a clear error directing users to use the correct parameter names.
Files modified:
-
packages/twenty-server/src/engine/api/rest/input-request-parsers/rest-input-request-parser.exception.ts
-
packages/twenty-server/src/engine/api/rest/input-request-parsers/starting-after-parser-utils/parse-starting-after-rest-request.util.ts
-
packages/twenty-server/src/engine/api/rest/input-request-parsers/ending-before-parser-utils/parse-ending-before-rest-request.util.ts
- Test files for both parsers
Example error:
Invalid cursor parameter 'cursor'. Use 'starting_after' for pagination.
---
Issue 2: OpportunityStageEnum not validated on REST
Problem: When creating or updating opportunities via REST with an
invalid stage value, the API either silently dropped the value or
returned a generic error without listing valid options.
Solution: Updated the SELECT field validation to include valid options
in the error message.
Files modified:
-
packages/twenty-server/src/engine/api/common/common-args-processors/data-arg-processor/validator-utils/validate-rating-and-select-field-or-throw.util.ts
- Test file
Example error:
Invalid value "BAD_VALUE" for field "stage". Valid values are: NEW,
SCREENING, MEETING, PROPOSAL, CUSTOMER
---
### Testing
- Added 5 new test cases for `parse-starting-after-rest-request.util.ts`
- Added 6 new test cases for `parse-ending-before-rest-request.util.ts`
- Added 1 new test case for
`validate-rating-and-select-field-or-throw.util.ts`
- All 21 tests passing
---
Breaking Changes
None - correct usage is unaffected.
---------
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.com>
Bug fixes exposed by always-on direct execution
1. GraphQL spec compliance — data[field] = null on resolver error
direct-execution.service.ts — Changed from Promise.allSettled (which
lost the responseKey on rejection) to Promise.all with per-field
try/catch; errors now set data[responseKey] = null per spec
2. Empty object arguments skipped (extractArgumentsFromAst)
extract-arguments-from-ast.util.ts — Removed isEmptyObject check;
filter: {}, data: {} now correctly passed to resolvers instead of
silently dropped (which caused permissions to never be checked)
3. orderBy: {} factory default treated as "no ordering"
direct-execution.service.ts — Before calling the resolver, strips
orderBy: {} and orderByForRecords: {} (empty-object factory defaults
that mean "no ordering")
assert-find-many-args.util.ts / assert-group-by-args.util.ts — Accept {}
for orderBy without throwing
4. orderBy: { field: '...' } object auto-coerced to [{ field: '...' }]
array
direct-execution.service.ts — Applies GraphQL list coercion: a
non-array, non-empty orderBy object is wrapped in an array before
assertion and resolver call
5. totalCount and aggregate fields returned as strings from PostgreSQL
graphql-format-result-from-selected-fields.util.ts — Added
coerceAggregateValue that parses numeric strings to numbers for
totalCount, sum*, avg*, min*, max*, count*, percentageOf* fields
Test updates
nested-relation-queries.integration-spec.ts — Updated expected error
message from Yoga schema-validation message to direct execution resolver
message
~30 snapshot files — Updated to reflect direct execution's error
messages (different from Yoga schema-validation messages for input type
errors)
#### Direct Execution __typename & null backfill
##### __typename filling
The direct execution path now correctly derives __typename at every
level of the GraphQL response:
Connection types — CompanyConnection, CompanyEdge, Company, PageInfo
GroupBy types — TaskGroupByConnection (was incorrectly producing
TaskConnection)
Composite fields — Links, FullName, Currency, etc. handled by a
dedicated formatter (was inheriting the parent object's typename)
Previously, __typename was derived from the object's universal
identifier (a UUID), producing broken values like
20202020B3744779A56180086Cb2E17FConnection.
##### Null backfill
Selected fields missing from the resolver result are backfilled with
null, matching the standard Yoga schema behavior.
##### Integration test
A new test runs the same findMany query (with __typename at all
structural levels) through both paths — standard Yoga schema and direct
execution — and asserts identical output via toStrictEqual.
## Summary
- **Backend**: Add JSON validation for the `blocknote` subfield in rich
text API inputs — rejects values that aren't valid JSON or aren't arrays
(BlockNote content is always `PartialBlock[]`). This prevents corrupted
data from being persisted to the database.
- **Frontend**: Replace all 5 unprotected `JSON.parse` calls on
blocknote content with the safe `parseJson` utility from
`twenty-shared`. Invalid content now degrades gracefully (empty block /
empty string / unchanged passthrough) instead of crashing the app.
- **Tests**: Added integration tests for invalid blocknote JSON (both
GraphQL and REST), unit tests for the new validation, and updated
existing test constants to use valid BlockNote JSON.
## Context
A user reported a `SyntaxError: Expected ',' or ']' after array element`
crash caused by malformed blocknote JSON stored in the database. The
data had `"children":[]` nested inside the `content` array instead of as
a sibling property. The API accepted this invalid JSON because it only
validated that `blocknote` was a string, not that it contained valid
JSON. On the frontend, 5 call sites used bare `JSON.parse` with no error
handling, causing a white-screen crash.
## Test plan
- [x] Unit tests pass: `validate-rich-text-field-or-throw.util.spec.ts`
(10/10)
- [x] Integration tests pass: `rich-text-field-create-input-validation`
(8/8)
- [ ] Verify creating a note with valid rich text still works end-to-end
- [ ] Verify API returns clear error when blocknote contains invalid
JSON
- [ ] Verify frontend renders empty block instead of crashing when
encountering corrupted data
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Related to issue #17711
Follow-up to PR #17774 which fixed the frontend link normalization only
## Summary
- Normalize `primaryEmail` (lowercase) and `primaryLinkUrl` in relation
`connect.where` composite values
- Applied in both frontend spreadsheet import and backend
`DataArgProcessorService` to cover all entry points (UI import, GraphQL
API)
---------
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.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`
REST API allowed users to pass in targetOpportunity, targetPerson,
targetCompany etc when trying to create a noteTarget or a taskTarget.
The request went through, we got back a 201, the record was created, but
the relationship was never established since the FK was empty in the
database.
This PR enforces users to send in the property with the `Id` suffix for
consistency. So, the user sends in targetOpportunityId, targetPersonId,
targetCompanyId etc.
<p align="center">
<img width="854" height="480" alt="image"
src="https://github.com/user-attachments/assets/ed50a623-68d4-4266-baf1-e94a657c3fd4"
/>
</p>
If the users try to send without the "Id" suffix, they get an error
explaining what to do.
<p align="center">
<img width="854" height="480" alt="image"
src="https://github.com/user-attachments/assets/8bab399b-7a04-4b6a-86b5-6f0e0b1ecd5d"
/>
</p>
Additionally, the documentation itself contains the correct property
names.
<p align="center">
<img width="854" height="480" alt="image"
src="https://github.com/user-attachments/assets/83e51cd6-8ef7-4a4d-8696-ab37cc4a9dd6"
/>
</p>
Finally, the filters also enforce this "Id" suffix convention in the GET
request.
<p align="center">
<img width="854" height="480" alt="image"
src="https://github.com/user-attachments/assets/168a2f09-1242-40fa-bd84-1f7d9c60357c"
/>
</p>
Edit: Updated error messages after the screenshots were taken to make
them a little generic. Secondly, this PR also fixes the issue of morph
relation ids and objects not appearing in the response (when depth is
1).
Closes https://github.com/twentyhq/core-team-issues/issues/1627
**FilterArgProcessor consolidation:**
Refactored to both validate AND transform filter values in a single pass
Coerced string inputs to native types (e.g., "1" → 1, "true" → true -
useful for Rest input)
Returns transformed filter instead of just validating
Removed overrideFilterByFieldMetadata calls from all computeArgs methods
**QueryRunnerArgsFactory cleanup**
**Testing:**
Add unit testing
uncomment integration tests
Fixes https://github.com/twentyhq/twenty/issues/17138
- Backend should have strict date/dateTime format validation
- FE in import csv is more permissive
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
# 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 )
# Introduction
In this PR we're introducing mainly two branded type signatures for both
`JsonbProperty` entities properties and `SerializedRelation` (jsonb
serialized property storing another entity id).
Allowing to dynamically map over them later in order to build universal
`jsonb` `serialized` relations.
## `JsonbProperty`
A branded wrapper type that marks entity properties stored as PostgreSQL
JSONB columns. It adds a phantom brand `__JsonbPropertyBrand__` to
object types while leaving primitives unchanged. The branded key is
optional and typed as never, also omitted when transpiled to
`UniversalFlat`
**Should be used at entities lvl only:**
```typescript
@Column({ type: 'jsonb', nullable: false })
gridPosition: JsonbProperty<GridPosition>;
@Column({ nullable: false, type: 'jsonb', default: [] })
publishedVersions: JsonbProperty<string[]>;
```
## `SerializedRelation`
A branded string type that marks foreign key IDs stored inside JSONB
objects. These are entity references serialized within a JSONB column
rather than being a regular database foreign key.
**Usage in jsonb property generic***
```ts
type FieldMetadataRelationSettings = {
relationType: RelationType;
onDelete?: RelationOnDeleteAction;
joinColumnName?: string | null;
junctionTargetFieldId?: SerializedRelation;
};
```
## `FormatJsonbSerializedRelation<T>`
A transformation type that processes JSONB properties for universal
entity mapping. It:
1. Detects properties with the `JsonbProperty` brand
2. Finds `SerializedRelation` properties
3. Renames them from `*Id` to `*UniversalIdentifier`
4. Removes the brand from the output type ( optional though )
```typescript
// Input: JsonbProperty<{ targetFieldMetadataId: SerializedRelation }>
// Output: { targetFieldMetadataUniversalIdentifier: SerializedRelation }
```
## Result
An example of the dynamic type mapping, through a type-test example
```ts
type SettingsTestCase = UniversalFlatFieldMetadata<
| FieldMetadataType.RELATION
| FieldMetadataType.NUMBER
| FieldMetadataType.TEXT
>['settings']
type SettingsExpectedResult =
| {
relationType: RelationType;
onDelete?: RelationOnDeleteAction | undefined;
joinColumnName?: string | null | undefined;
junctionTargetFieldUniversalIdentifier?: SerializedRelation | undefined;
}
| {
dataType?: NumberDataType | undefined;
decimals?: number | undefined;
type?: FieldNumberVariant | undefined;
}
| {
displayedMaxRows?: number | undefined;
}
| null;
type Assertions = [
Expect<Equal<SettingsTestCase, SettingsExpectedResult>>,
]
```
## Remarks
- Removed duplicated twenty-server and twenty-shared typed
- Removed class validator instances for default value that were not used
at runtime, we will refactor that to add validation across all entities
following a same pattern
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, ...
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.
Fixes https://github.com/twentyhq/twenty/issues/16110
This PR implements Temporal to replace the legacy Date object, in all
features that are time zone sensitive. (around 80% of the app)
Here we define a few utils to handle Temporal primitives and obtain an
easier DX for timezone manipulation, front end and back end.
This PR deactivates the usage of timezone from the graph configuration,
because for now it's always UTC and is not really relevant, let's handle
that later.
Workflows code and backend only code that don't take user input are
using UTC time zone, the affected utils have not been refactored yet
because this PR is big enough.
# New way of filtering on date intervals
As we'll progressively rollup Temporal everywhere in the codebase and
remove `Date` JS object everywhere possible, we'll use the way to filter
that is recommended by Temporal.
This way of filtering on date intervals involves half-open intervals,
and is the preferred way to avoid edge-cases with DST and smallest time
increment edge-case.
## Filtering endOfX with DST edge-cases
Some day-light save time shifts involve having no existing hour, or even
day on certain days, for example Samoa Islands have no 30th of December
2011 : https://www.timeanddate.com/news/time/samoa-dateline.html, it
jumps from 29th to 31st, so filtering on `< next period start` makes it
easier to let the date library handle the strict inferior comparison,
than filtering on `≤ end of period` and trying to compute manually the
end of the period.
For example for Samoa Islands, is end of day `2011-12-29T23:59:59.999`
or is it `2011-12-30T23:59:59.999` ? If you say I don't need to know and
compute it, because I want everything strictly before
`2011-12-29T00:00:00 + start of next day (according to the library which
knows those edge-cases)`, then you have a 100% deterministic way of
computing date intervals in any timezone, for any day of any year.
Of course the Samoa example is an extreme one, but more common ones
involve DST shifts of 1 hour, which are still problematic on certain
days of the year.
## Computing the exact _end of period_
Having an open interval filtering, with `[included - included]` instead
of half-open `[included - excluded)`, forces to compute the open end of
an interval, which often involves taking an arbitrary unit like minute,
second, microsecond or nanosecond, which will lead to edge-case of
unhandled values.
For example, let's say my code computes endOfDay by setting the time to
`23:59:59.999`, if another library, API, or anything else, ends up
giving me a date-time with another time precision `23:59:59.999999999`
(down to the nanosecond), then this date-time will be filtered out,
while it should not.
The good deterministic way to avoid 100% of those complex bugs is to
create a half-open filter :
`≥ start of period` to `< start of next period`
For example :
`≥ 2025-01-01T00:00:00` to `< 2025-01-02T00:00:00` instead of `≥
2025-01-01T00:00:00` to `≤ 2025-01-01T23:59:59.999`
Because, `2025-01-01T00:00:00` = `2025-01-01T00:00:00.000` =
`2025-01-01T00:00:00.000000` = `2025-01-01T00:00:00.000000000` => no
risk of error in computing start of period
But `2025-01-01T23:59:59` ≠ `2025-01-01T23:59:59.999` ≠
`2025-01-01T23:59:59.999999` ≠ `2025-01-01T23:59:59.999999999` =>
existing risk of error in computing end of period
This is why an half-open interval has no risk of error in computing a
date-time interval filter.
Here is a link to this debate :
https://github.com/tc39/proposal-temporal/issues/2568
> For this reason, we recommend not calculating the exact nanosecond at
the end of the day if it's not absolutely necessary. For example, if
it's needed for <= comparisons, we recommend just changing the
comparison code. So instead of <= zdtEndOfDay your code could be <
zdtStartOfNextDay which is easier to calculate and not subject to the
issue of not knowing which unit is the right one.
>
> [Justin Grant](https://github.com/justingrant), top contributor of
Temporal
## Application to our codebase
Applying this half-open filtering paradigm to our codebase means we
would have to rename `IS_AFTER` to `IS_AFTER_OR_EQUAL` and to keep
`IS_BEFORE` (or even `IS_STRICTLY_BEFORE`) to make this half-open
interval self-explanatory everywhere in the codebase, this will avoid
any confusion.
See the relevant issue :
https://github.com/twentyhq/core-team-issues/issues/2010
In the mean time, we'll keep this operand and add this semantic in the
naming everywhere possible.
## Example with a different user timezone
Example on a graph grouped by week in timezone Pacific/Samoa, on a
computer running on Europe/Paris :
<img width="342" height="511" alt="image"
src="https://github.com/user-attachments/assets/9e7d5121-ecc4-4233-835b-f59293fbd8c8"
/>
Then the associated data in the table view, with our **half-open
date-time filter** :
<img width="804" height="262" alt="image"
src="https://github.com/user-attachments/assets/28efe1d7-d2fc-4aec-b521-bada7f980447"
/>
And the associated SQL query result to see how DATE_TRUNC in Postgres
applies its internal start of week logic :
<img width="709" height="220" alt="image"
src="https://github.com/user-attachments/assets/4d0542e1-eaae-4b4b-afa9-5005f48ffdca"
/>
The associated SQL query without parameters to test in your SQL client :
```SQL
SELECT "opportunity"."closeDate" as "close_date", TO_CHAR(DATE_TRUNC('week', "opportunity"."closeDate", 'Pacific/Samoa') AT TIME ZONE 'Pacific/Samoa', 'YYYY-MM-DD') AS "DATE_TRUNC by week start in timezone Pacific/Samoa", "opportunity"."name" FROM "workspace_1wgvd1injqtife6y4rvfbu3h5"."opportunity" "opportunity" ORDER BY "opportunity"."closeDate" ASC NULLS LAST
```
# Date picker simplification (not in this PR)
Our DatePicker component, which is wrapping `react-datepicker` library
component, is now exposing plain dates as string instead of Date object.
The Date object is still used internally to manage the library
component, but since the date picker calendar is only manipulating plain
dates, there is no need to add timezone management to it, and no need to
expose a handleChange with Date object.
The timezone management relies on date time inputs now.
The modification has been made in a previous PR :
https://github.com/twentyhq/twenty/issues/15377 but it's good to
reference it here.
# Calendar feature refactor
Calendar feature has been refactored to rely on Temporal.PlainDate as
much as possible, while leaving some date-fns utils to avoid re-coding
them.
Since the trick is to use utils to convert back and from Date object in
exec env reliably, we can do it everywhere we need to interface legacy
Date object utils and Temporal related code.
## TimeZone is now shown on Calendar :
<img width="894" height="958" alt="image"
src="https://github.com/user-attachments/assets/231f8107-fad6-4786-b532-456692c20f1d"
/>
## Month picker has been refactored
<img width="503" height="266" alt="image"
src="https://github.com/user-attachments/assets/cb90bc34-6c4d-436d-93bc-4b6fb00de7f5"
/>
Since the days weren't useful, the picker has been refactored to remove
the days.
# Miscellaneous
- Fixed a bug with drag and drop edge-case with 2 items in a list.
# Improvements
## Lots of chained operations
It would be nice to create small utils to avoid repeated chained
operations, but that is how Temporal is designed, a very small set of
primitive operations that allow to compose everything needed. Maybe
we'll have wrappers on top of Temporal in the coming years.
## Creation of Temporal objects is throwing errors
If the input is badly formatted Temporal will throw, we might want to
adopt a global strategy to avoid that.
Example :
```ts
const newPlainDate = Temporal.PlainDate.from('bad-string'); // Will throw
```
## 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
closes https://github.com/twentyhq/core-team-issues/issues/1629
To do before requesting review :
- filter update
Migration to come in an other PR
Strat :
1/ Null transformation
- [x] Transform NULL equivalent value to NULL in field validation in
common api - pre-query - with feature flag
- [ ] Same logic in ORM (Not done, complex to handle feature flag here)
- [x] Transform NULL value to equivalent in data formatting in ORM -
post-query
2/ Migration (in other PR) for fieldMetadata not nullable with default
defaultValue (empty string, ...)
- [ ] Remove NOT NULL db constraint
- [ ] Update record value to NULL
- [ ] Update field metadata : isNullable:true
- [ ] Update uniqueIndex whereClause (also for standard uniqueIndex)
- [ ] Activate feature flag
3/ Update metadata creation
- [x] No more default default value
- [x] Update standard field nullability
- [x] Remove index default whereClause for standard field
4/ Update filter
- [x] When filtering on NULL or empty string, be sure all records are
returned (the one with NULL + the one with "")
5/ Test
- [ ] Strat. to do
MkDev11