Here is what the PR does:
- Surface password state in validatePasswordResetToken, returning
hasPassword so the client can tell whether a user is setting or changing
their password.
- Consume that flag throughout the front end (mock data, stories,
GraphQL types) and update the Reset/Set Password modal to swap the
heading/button label and success toast accordingly.
- After a successful password set/reset, immediately update the
logged-in user’s hasPassword flag so the Settings screen reflects the
new state without a reload.
Modal has two states now - reset password modal uses change password
state since it made intuitive sense.
<p align="center">
<img width="404" height="397" alt="image"
src="https://github.com/user-attachments/assets/c54cc581-1248-4395-833d-0202758e1947"
/>
</p>
<p align="center">
<img width="403" height="393" alt="image"
src="https://github.com/user-attachments/assets/d8a39a95-27e6-4037-86f2-1f74176002ba"
/>
</p>
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Prevent users from creating v2 chart types via the api.
Only created unit tests and not integration tests (since it's not that
important, and the v2 will be released soon), but tested via the api
playground.
# 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
changes -
- make iframe side panel to match others -- ie use SidePanelHeader for
title
- make url optional in configuration to match that of the other widgets
(allow partial saves) - render No data status when error or no url
- split widget sizes into two -- graph widget sizes and widget sizes
(graph widgets are a subset of chart widgets)
- Allow users to choose the date granularity of the x axis and the group
by of the y axis on a bar chart
- Display those options conditionally
- Store timezones in graphs: each graph has its own timezone, defaults
to the user timezone. There will be a picker in the v2 to choose the
timezone. For now the timezone is not used by the backend, but it will
be used in filters and in group by queries.
- Store first day of the week
https://github.com/user-attachments/assets/66a5d156-dd93-4ebe-8c8f-d172f93e25be
Closes [Core Issue
#1772](https://github.com/twentyhq/core-team-issues/issues/1772).
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Introduces SSO bypass with a new permission flag and workspace-level
provider toggles, enabling permitted users to log in via
Google/Microsoft/Password when SSO-only, with backend enforcement and
frontend UI/hooks/queries.
>
> - **Backend**:
> - **Permission & Enforcement**: Add `PermissionFlagType.SSO_BYPASS`;
update `AuthService` to allow login via non-SSO providers when workspace
bypass is enabled and user has `SSO_BYPASS`.
> - **Workspace Model**: Add `isGoogleAuthBypassEnabled`,
`isMicrosoftAuthBypassEnabled`, `isPasswordAuthBypassEnabled`
(migration, entity, update input, service validation).
> - **Public API**: Extend `PublicWorkspaceDataOutput` with
`authBypassProviders`; resolver computes it; permissions defaults
include `SSO_BYPASS`.
> - **Frontend**:
> - **GraphQL/State**: Generate new types/fields; add
`authBypassProviders` to `GetPublicWorkspaceDataByDomain`; new states
`workspaceAuthBypassProvidersState`, `workspaceBypassModeState`.
> - **Auth UI/Logic**: Add `useWorkspaceBypass`; update sign-in form and
footer to offer "Bypass SSO" and use merged providers when enabled;
remove auto-redirect when single SSO.
> - **Settings**: Add Security section to toggle bypass methods per
provider; conditionally show Change Password via `useCanChangePassword`.
> - **Tests/Mocks**: Update mocks and tests to include bypass
flags/providers.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
8c393b2bad387fb6e8b8f40027f8637dd6e85723. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
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>
To be done in an other PR, move graphql-query-runner handlers in
common-api-query-runner folder (+ renaming + typing improvments)
Fixes :
- totalCount on findMany (Rest)
- getAllSelectedFields did not handle composite field (Rest)
- issue with endCursor (Rest)
- args processing for updateOne and createOne (Rest + Gql)
- fix findDuplicates (Gql)
Adds intelligent routing system that automatically selects the best
agent for user queries based on conversation context.
### Changes:
- Added `routerModel` column to workspace table for configurable router
LLM selection
- Implemented `RouterService` with conversation history analysis and
agent matching logic
- Created router settings UI in AI Settings page with model dropdown
- Removed agent-specific thread associations - threads are now
agent-agnostic
- Added real-time routing status notification in chat UI with shimmer
effect
- Removed automatic default assistant agent creation
- Renamed GraphQL operations from agent-specific to generic (e.g.,
`agentChatThreads` → `chatThreads`)
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Co-authored-by: Félix Malfait <felix@twenty.com>
- Use aggregate operations in the widget configuration instead of
extended aggregate operations
- Use aggregate operation from generated graphql in the frontend
### Summary
Split BAR into VERTICAL_BAR and HORIZONTAL_BAR as separate chart types.
### The Problem
Initially wanted a simple vertical/horizontal toggle for bar charts, but
ran into a GraphQL union type
constraint: union types can't have the same field name with different
nullability.
- Vertical bars need groupByFieldMetadataIdX as required (categories on
X)
- Horizontal bars need groupByFieldMetadataIdY as required (categories
on Y)
- GraphQL schema generation fails with this setup
### The Solution
Use semantic primaryAxis and secondaryAxis naming that's
orientation-agnostic:
- primaryAxisGroupByFieldMetadataId = main grouping field (e.g.,
"Company Name")
- secondaryAxisGroupByFieldMetadataId = optional secondary grouping
(e.g., "Stage")
These fields have consistent meaning regardless of orientation. The
visual mapping happens at the UI layer:
- Vertical bars: primary data renders on X-axis, secondary on Y-axis
- Horizontal bars: primary data renders on Y-axis, secondary on X-axis
Both chart types share the same DTO structure with consistent
nullability.
### What Changed
- Split GraphType.BAR → VERTICAL_BAR | HORIZONTAL_BAR
- Renamed fields: primaryAxisGroupByFieldMetadataId,
secondaryAxisGroupByFieldMetadataId (+ subfield
variants)
- useChartSettingsValues(): Maps semantic fields to setting values (no
swapping)
- getBarChartSettings(): Dynamically arranges settings panel based on
orientation
- transformGroupByDataToBarChartData(): Maps semantic fields to Nivo's
layout prop
video QA
https://github.com/user-attachments/assets/479061b5-712e-4ca6-9858-95273d1f16c1
Closes#14726
### Added
- `trashRetentionDays` field to workspace entity (default: 14 days)
- Automated trash cleanup using BullMQ jobs
- Daily cron (00:10 UTC) that enqueues cleanup jobs for all active
workspaces
- Per-workspace limit: 100k records deleted per day
- Calendar-based retention: records deleted on day X are cleaned up X+14
days later (at midnight UTC boundaries)
### Architecture
- **Cron (WorkspaceTrashCleanupCronJob):** Runs daily, enqueues jobs in
parallel for all workspaces
- **Job (WorkspaceTrashCleanupJob):** Processes individual workspace
cleanup
- **Service (WorkspaceTrashCleanupService):** Discovers tables with
`deletedAt`, deletes old records with quota enforcement
- **Command:** `npx nx run twenty-server:command
cron:workspace:cleanup-trash` to register the cron
### Testing
- Unit tests for service with 100% coverage of public API
- Tested quota enforcement, error handling, and edge cases
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
# Introduction
Adding view-group to core engine v2
Following https://github.com/twentyhq/twenty/pull/15010 ( same pattern )
## What's done
- Created flat-view-group
- flat view group runner
- flat view group builder
- create view group service v2 and input transpilers
- refactor the existing view group resolver to fix standard (
BREAKING_CHANGE on graphql api update especially ) REST stays the same
- refactored the front to consume the mutations autogenerated
close https://github.com/twentyhq/core-team-issues/issues/1665
Avoid fetching full steps and trigger for versions that are not the
current version. Because those won't be used anyway. Better for
performances.
Only difficulty was for the `createDraft` mutation. I needed to return
the full created version so I can store it in cache and use it as new
`currentVersion`. Otherwise the current version is considered as
incomplete for a short time, since workflow is fetched separately from
the current version.
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
# Introduction
Migrating `viewFilter` to v2 in order to migrate later the field update
side effect on view to v2 too
## What's done
- Created flat-view-filter
- flat view filter runner
- flat view filter builder
- create view filter service v2 and input transpilers
- refactor the existing view filter resolver to fix standard (
BREAKING_CHANGE on graphql api update especially ) REST stays the same
- refactored the front to consume the mutations autogenerated
## New generic tools
### Compare two flat entity
Introducing a new util to compare two flat entity, it's strictly typed
and will be added to the generic builder in a following PR
This will ease flat entity addition as won't required to create a
specific abstraction for comparison
Generic builder will expect specific constant: properties to compare and
properties to stringify
### Transform flat entity for comparison
Forked and refactor the initial existing method for flat entity business
scope and type safety
## Coverage
Migrated existing integration tests to fit new contract API
This PR does not add strong coverage on validation exceptions
Deadlines are too short
close https://github.com/twentyhq/core-team-issues/issues/1666
closes https://github.com/twentyhq/core-team-issues/issues/1418
Tested :
- findOne on Rest and Gql
### Vision
#### Common
- Common is kind of renamed Gql base resolver
- Common handles args (filter, values, ...) validation
- Common accepts depth or raw gql selected fields to compute
selectedFields
- Common is directly called by each CommonQueries (findOne, ...)
service, which extend CommonBaseQuery service
- Common sequence :
| - Parse & Validate args (args-handlers, to create)
| - Build query (query-parsers : currently in gql-query-parsers, to
move)
| - Execute query
| - Fetch relation + format
#### Rest
- Simple parsing (without metadata validation)
- Calling Common API
- Simple rest response formatting
#### Gql
- Calling Common API
Updates of the hello-world application
- remove the old hello-world application
- adds an object "postCard"
- adds a serverlessFunction `create-new-post-card` that calls the twenty
api to create a new postCard record
- add a route trigger /post-card/create?recipient=John
Closes [#1583](https://github.com/twentyhq/core-team-issues/issues/1583)
- Removed `messageId` column from `File` table and its references in
code (unrelated to this PR)
- Updated AI chat to use React Context API with persistent provider in
`CommandMenuContainer`
- Converted all AI chat component states to regular Recoil atoms (no
instance context needed)
---------
Co-authored-by: Félix Malfait <felix@twenty.com>
This PR is the first part of the creation of the Chart editor.
https://github.com/user-attachments/assets/8b0af8ea-be41-4506-84cb-e40f5521cbf0
Done:
- Bar chart settings (except filters)
- Line chart settings (except filters)
In progress:
- Pie chart settings
- Number chart settings
- Gauge chart settings
Left to do:
- Loosen the backend validation to allow the user to save a partial
configuration, validate the graph configuration in the frontend and
display a error friendly message in the graph if the config is not
completed yet
- Implement the filter edition
- Finish the other graph types settings
## Context
Add routes to migration V2
- Resolvers
- Service v2
- Builder
- Validator
- Action runner
Next PR: Add to twenty-cli to sync routes with serverless
## Context
We are experiencing bad performance on Twenty. One of the root cause
hypothesis is that computing `currentUser.currentWorkspace.views` is CPU
consuming. Without views, the GetCurrentUser response is ~1000 lines.
With its ~10000 lines.
As graphql is going through all fields recursively this can be quite
heavy on CPU. We had a similar issues on ObjectMetadataItems 2 years ago
and came with storing the response in redis.
Note: I thought there was also a cache in RAM but this is not the case,
so to invalidate the cache we can just empty redis.
## How
- Extract getting all views from GetCurrentUser and update frontend to
perform both queries
- Add views to cached graphql operations
- invalidate the cache manually on view or related core entities update
/ create / delete / destroy
## Tests
I have tested a lot on v1
Abdullah.