## Summary
- Implements real tools for the dashboard-building skill to create and
manage dashboards through the AI chat interface
- Adds 6 new dashboard tools: `create_complete_dashboard`,
`list_dashboards`, `get_dashboard`, `add_dashboard_widget`,
`update_dashboard_widget`, `delete_dashboard_widget`
- Improves widget configuration robustness with typed Zod schemas and
discriminated unions for graph types
## Key Changes
**New Dashboard Tools:**
- `create_complete_dashboard` - Creates a dashboard with layout, tab,
and widgets in a single call
- `list_dashboards` - Lists all dashboards in the workspace
- `get_dashboard` - Gets full dashboard details including tabs and
widget configurations
- `add_dashboard_widget` - Adds a widget to an existing dashboard tab
- `update_dashboard_widget` - Updates widget properties or configuration
- `delete_dashboard_widget` - Removes a widget from a dashboard
**Widget Configuration Improvements:**
- Typed Zod schemas for each chart type (AGGREGATE, BAR, LINE, PIE)
- Discriminated union validation based on `graphType`
- Widget-level error handling for partial success when creating
dashboards
- Clear documentation about required `objectMetadataId` and field UUIDs
**Skill Documentation Updates:**
- Updated `dashboard-building.skill.ts` with critical guidance about
looking up field metadata first
- Added workflow instructions: use `list_object_metadata_items` before
creating GRAPH widgets
- Practical grid layout recommendations
## Test plan
- [ ] Create a new dashboard via AI chat
- [ ] Verify widgets display data correctly when proper field IDs are
provided
- [ ] Test adding/updating/deleting widgets on existing dashboards
- [ ] Verify error messages are helpful when configuration is incorrect
## Summary
- Replace the agent search mechanism with a new skills-based system
- Add a `skills` module with predefined skill definitions that the AI
can load on demand
- Remove specialized agents (workflow-builder, data-manipulator,
dashboard-builder, metadata-builder, researcher), keeping only the
helper agent
- Add `recordReferences` to workflow creation tool for chip linking in
the UI
## Changes
### New Skills Module
- `skill-definitions.ts` - Contains 5 skill definitions with detailed
instructions
- `skills.service.ts` - Service to get skills by name
- `load-skill.tool.ts` - Tool for AI to load skills explicitly
### Removed
- `agent-search.tool.ts` - Replaced by skill loading
- Specialized agent definitions (converted to skills)
### Updated
- Chat execution now shows skill catalog in system prompt
- Workflow creation returns `recordReferences` for UI linking
## Test plan
- [ ] Verify AI can load skills using `load_skill` tool
- [ ] Verify skill content is returned correctly
- [ ] Verify workflow creation shows clickable chip in chat
- [ ] Verify helper agent still works
## Summary
- Add latest AI models from OpenAI (GPT-4.1, o3, o4-mini), Anthropic
(Claude 4.5 Opus/Sonnet/Haiku), and xAI (Grok 4.1)
- Mark deprecated models (GPT-4o, GPT-4o-mini, GPT-4-turbo, Claude Opus
4, Claude Sonnet 4) with a `deprecated` flag
- Split AI models into separate files per provider for better
maintainability
- Support comma-separated default model lists for automatic fallback
across providers (works out of the box for self-hosters regardless of
which provider they configure)
- Filter deprecated models from dropdown selection while keeping them
functional for existing agents
## Changes
### New Models Added
| Provider | Models |
|----------|--------|
| OpenAI | gpt-4.1, gpt-4.1-mini, o3, o4-mini |
| Anthropic | claude-opus-4-5, claude-sonnet-4-5, claude-haiku-4-5 |
| xAI | grok-4-1-fast-reasoning |
### Deprecated Models
- gpt-4o, gpt-4o-mini, gpt-4-turbo (OpenAI)
- claude-opus-4-20250514, claude-sonnet-4-20250514 (Anthropic)
### Config Changes
Default model configs now support comma-separated fallback lists:
-
`DEFAULT_AI_SPEED_MODEL_ID=gpt-4.1-mini,claude-haiku-4-5-20251001,grok-3-mini`
-
`DEFAULT_AI_PERFORMANCE_MODEL_ID=gpt-4.1,claude-sonnet-4-5-20250929,grok-4`
## Test plan
- [x] Unit tests pass
- [x] Typecheck passes
- [x] Lint passes
- [ ] Verify deprecated models don't appear in model dropdowns
- [ ] Verify agents with deprecated models still work correctly
- [ ] Verify default model fallback works when only one provider is
configured
## Summary
Adds a new **VIEW** tool category for the AI chat, enabling it to work
with views:
- **get-views**: List views in the workspace, optionally filtered by
object metadata ID
- **get-view-query-parameters**: Convert a view's filters and sorts into
GraphQL query parameters that can be passed to existing `find_*` data
tools
- **create-view**, **update-view**, **delete-view**: CRUD operations for
view management
### Key design decisions
1. **No pagination duplication**: Instead of creating a
`find-records-from-view` tool that would duplicate pagination logic,
`get-view-query-parameters` returns filter/sort parameters that the AI
can pass to existing record-fetching tools.
2. **Permission model**:
- Read tools (get-views, get-view-query-parameters) are available to all
users
- Write tools require the `VIEW` permission
- UNLISTED views can only be modified by their creator
3. **Leverages existing utilities**: Uses
`computeRecordGqlOperationFilter` from `twenty-shared` for filter
conversion.
### Files changed
- Added `ViewToolProvider`, `ViewToolsFactory`, and
`ViewQueryParamsService`
- Added `VIEW` to `ToolCategory` enum and tool registry
- Updated `chat-execution.service.ts` to include view tools in the
catalog and pass viewId in browsing context
- Extracted shared `formatValidationErrors` utility to reduce
duplication
## Test plan
- [x] Unit tests for `ViewToolsFactory`
- [x] Unit tests for `ViewQueryParamsService`
- [x] Lint and typecheck pass
# TimelineActivity migration to morph
- Creates `timelineActivities2` relations on Company, Dashboard, Note,
Opportunity, Person, Task, Workflow, WorkflowRun, and WorkflowVersion
entities with proper metadata and cascade delete behavior.
It was required to create standard fields as well since the
mapObjectMetadataByUniqueIdentifier needs it. otherwise the fields won't
be considered
- Feature Flag `IS_TIMELINE_ACTIVITY_MIGRATED` necessary to have the two
states in parallel. It is used as a stamp once the migration has been
run
- Migration is done using the coreDataSource. Why ?
even though is unsafe to use, the first implementation of the migration
took forever on each workspace. See [this
commit](https://github.com/twentyhq/twenty/pull/15652/commits/477011e8d7d4c580f79ba7ec4a8fb002a3ec86b2)
The plan for this complex migration is as follows :

Note: we will need to rename fields in the release 1.12 (there is no
easy way to do all this in one release)
## Summary
- Add `BrowsingContext` type to automatically pass what the user is
currently viewing (recordPage or listView) to the AI chat
- Simplify context architecture: remove toggleable context UI, make it
automatic and invisible to the user
- Fix tool loading: add `unionOf` handling in
`getDatabaseToolsForObject` and fix regex ordering so `find_one_*` tools
are properly registered
- Use plural names for find tools (`find_people` vs `find_one_person`)
for better semantics
- Clean up unused components and states
## Changes
### Frontend
- New `BrowsingContext` type and `useGetBrowsingContext` hook to gather
context from Recoil state
- Simplified `useAgentChat` to use the new browsing context
- Removed toggleable context UI components
(`AgentChatContextRecordPreview`, `SendMessageWithRecordsContextButton`,
etc.)
- Removed `isAgentChatCurrentContextActiveState`
### Backend
- New `BrowsingContextType` for recordPage and listView contexts
- Updated `ChatExecutionService` to build context from browsing context
- Fixed `tool-registry.service.ts`:
- Added `unionOf` handling in permission config
- Fixed regex ordering (`find_one` before `find`) so tools load
correctly
- Use plural names for search tools (`find_people` instead of
`find_person`)
## Test plan
- [x] Typecheck passes
- [x] Lint passes
- [ ] Test AI chat on record page - should show context in system prompt
- [ ] Test AI chat on list view - should show view name and filters
- [ ] Test `find_one_*` tools now load correctly
- [ ] Test `find_*` tools use plural naming
The current repository implementation require the caller to pass the
permissionConfig which is not the case in messaging and calendar custom
resolver. We are bypassing the permission as fetching the role in the
caller will likely not be needed anymore in the new datasource / orm
implementation
## 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.
## Summary
This PR significantly simplifies the AI chat architecture by removing
complex routing/planning mechanisms and introduces clickable record
links in AI responses.
## Changes
### AI Chat Architecture Simplification
- **Removed** the entire `ai-chat-router` module (~850 lines) including:
- Strategy decider service
- Plan generator service
- Complex routing logic
- **Removed** agent execution planning services (~700 lines):
- `agent-execution.service.ts`
- `agent-plan-executor.service.ts`
- `agent-tool-generator.service.ts`
- **Added** centralized `ToolRegistryService` for tool management:
- Builds searchable tool index (database, action, workflow tools)
- Provides tool lookup by name
- Supports agent search for loading expertise
- **Added** `ChatExecutionService` as simple replacement:
- Includes full tool catalog in system prompt
- Pre-loads common tools (find/create/update for company, person,
opportunity, task, note)
- Uses `load_tools` mechanism for dynamic tool activation
- Enables native web search by default
### Record References in AI Responses
- Added `recordReferences` field to tool outputs for create, find, and
update operations
- Implemented `[[record:objectName:recordId:displayName]]` syntax for AI
to reference records
- Created `RecordLink` component that renders clickable chips with
object icons
- Integrated record link parsing into the markdown renderer
- Users can now click directly on created/found records in AI responses
### Workflow Agent Fixes
- Fixed cache invalidation issue when creating agents in workflows
- Added default prompt for workflow-created agents to prevent validation
errors
- Relaxed agent validation to only check properties being updated (not
all required properties)
### Code Quality Improvements
- Extracted `getRecordDisplayName` utility that mirrors frontend's
`getLabelIdentifierFieldValue` logic
- Uses object metadata to determine the correct label identifier field
- Handles `FULL_NAME` composite type for person/workspaceMember objects
- Shared across create, find, and update record services
## Net Impact
- **~1,200 lines deleted** (complex routing/planning code)
- **~500 lines added** (simpler tool registry + record links)
- Significantly reduced code complexity
- Better tool discovery through full catalog in system prompt
- Improved UX with clickable record references
## Testing
- Typecheck passes
- Lint passes
- Manual testing of AI chat with record creation and linking
- The issue is that the listener is not triggered if they are no change
to the workspaceMember (which happens when name is already filled
through GoogleSSO)
Fixes https://github.com/twentyhq/twenty/issues/16440
Changes:
- as we store date in redis as serialized, let's make all flatEntity
dates as string. This requires changing FlatEntity types and making sure
that entity are converted to flatEntity and flatEntity to dtos
Using deepEqual, average over 3 calls:
- version trigger 1.53ms
- version steps 38.3ms
- run state 372.8 ms
Using stringified hash, average over 3 calls:
- version trigger 0.07ms
- version steps 0.74 ms
- run state 0.521ms
Short fastDeepEqual
- version trigger 0.028ms
- version steps 0.197ms
- run state 0.214ms
Lib fastDeepEqual
- version trigger 0.038ms
- version steps 0.187ms
- run state 0.230ms
## 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
First PR to implement application tokens
- add new application role in twenty-server
- move duplicated constants and types to twenty-shared
- will add role configuration utils into twenty-sdk in another PR
## Summary
This PR makes the Clickhouse audit logging in the impersonation flow
**non-blocking** (fire-and-forget).
## Problem
When the Clickhouse server is unavailable or slow, the impersonation
feature becomes blocked because all audit logging calls use `await`,
causing the entire impersonation flow to hang.
## Solution
Remove the `await` keyword from all audit logging calls in the
impersonation flow. The `ClickHouseService.insert()` method already
handles errors internally (catches and logs them), so there's no risk of
unhandled promise rejections.
## Changes
- **`impersonation.service.ts`**: 4 audit calls made non-blocking
- **`auth.resolver.ts`**: 5 audit calls made non-blocking
- **`auth.service.ts`**: 2 audit calls made non-blocking
## Testing
- Impersonation flow continues to work when Clickhouse is available
- Impersonation flow no longer blocks when Clickhouse is unavailable
## Summary
Consolidates the AI tool provider architecture by creating a single
`ToolProviderService` as the entry point for all tool generation. This
removes multiple intermediate services and simplifies the codebase.
## Changes
### New Architecture
- **`ToolProviderService`**: Single service for all tool generation
with:
- `getTools(spec)` - Get tools by category with permissions
- `getToolByType(type)` - Get specific tool for workflow execution
- **`ToolCategory` enum**: Declarative specification of tool types:
- `DATABASE_CRUD` - Record CRUD operations
- `ACTION` - HTTP requests, email sending, article search
- `WORKFLOW` - Workflow management tools
- `METADATA` - Object/field metadata tools
- `NATIVE_MODEL` - Model-specific tools (e.g., web search)
- **`ToolSpecification` type**: Clean API for requesting tools with
permissions
### Removed
- `AiToolsModule` - No longer needed
- `ToolService` - Logic inlined into ToolProviderService
- `ToolAdapterService` - Logic inlined into ToolProviderService
- `ToolRegistryService` - Logic inlined into ToolProviderService
### Updated
- All consumers (agents, chat, MCP, workflows) now use
`ToolProviderService`
- Test files updated accordingly
## Stats
- **547 insertions, 1146 deletions** (net ~600 lines removed)
- 4 services deleted
- 1 module deleted
## Testing
- [x] Typecheck passes
- [x] Lint passes
# Introduction
Refactored the api `validateBuildAndRunWorkspaceMigration` to be require
less configuration but to infer required args dynamically depending on
provided metadata maps to compare
## `inferDeletionFromMissingEntities`
Is not dynamically computed avoiding any miss configuration issue and
any missleading devxp
## Maps computation
Making only one call to redis to build both dependency and to be
compared entity maps. It does not matter to avoid passing a about to
compared flat entity maps to could also be a depedency, it's handled
directly in the builder setup optimistic cache logic
Please note that the flat maps used for the service input transpilation
might differ from the one that we will dynamically compute and inject in
the builder. Leading to do 2 redis calls but also race condition prone
validation error
We prefer that this occurs at the builder rather than at the runner
level as the pg instance is not cache and reflect the real state of a
given workspace
In a nutshell, there's a possible race condition between cache
invalidation and computation in both service input transpilers and
builder but we're totally ok with that
Should be merged once https://github.com/twentyhq/twenty/pull/16206 has
been released + command run to prod
In this PR
- Remove usage of viewGroup.fieldMetadataId, both in BE and FE states.
- But we still need to properly populate it until we fully remove
viewGroup.fieldMetadataId from db and ORM entity (upcoming 3rd PR out of
3). fieldMetadataId was removed from CoreViewGroup type and
CreateViewGroupInput and is determined BE-side based on the associated
view's mainGroupByFieldMetadataId. **I expect this means a downtime on
viewGroup creation, until both FE and BE are deployed and cache is
flushed.** This seems acceptable to me as it only regards viewGroup
creation.
- this information is replaced by view.mainGroupByFieldMetadataID
- Handle view group creation, update and deletion in the BE as a
side-effect of a view creation, update or deletion. Optimistic effects
are still used
- Add validation at view creation or update regarding
mainGroupByFieldMetadata
Left to do in 3rd PR
- Remove viewGroup.fieldMetadataId from db and ORM entity
- Restore feature allowing to update an existing grouped view's group by
field (already OK on BE side but need to rebuild FE optimistic)
Mainly clarifying naming (scheduleMessageImport was actually tagging as
PENDING)
+ tagging as SCHEDULED in case of direct import (we skip PENDING state)
# Introduction
Related to https://github.com/twentyhq/core-team-issues/issues/1995
This PR introduces the basis of the `twentyStandard` application as code
on demand, it's highly tied to `ids` where it will becomes workspace
agnostic following the builder and runner `universalIdentifier` refactor
later.
The goal here to allow computing the `allFlatEntityMaps` `to` of the
`twentyStandard` application on a empty workspace ( workspace creation
). Allowing installing the twenty standard app through a workspace
migration instead of passing by the sync metadata
Nothing done will be run in production for the moment if it's not the
small validation refactor we've introduced
Please note that everything introduced here will be replaced at some
point by a twenty app instance when the twenty sdk is mature enough to
handle of the edge cases we need here
## How we've proceeded
We've been iterating over every workspace entity both objects and their
fields, and transpiled them to flatEntity.
Being sure we migrate the defaultValue, settings and so on accordingly.
We've also compute all the ids in prior of the whole entities
computation so we don't face any hoisting issue.
## Current state
At the moment only handling all of the 29 standard objects and their
fields
Settings a unique universalIdentifier for all of them
Will come views, agent role targets and so on later
## `workspace:compute-twenty-standard-migration` command
This command allow generating a workspace migration that will result in
installing the twenty standard app in an empty workspace
It's temporary and aims to allow debugging for the moment we might not
keep it in the future as it is right now
It contains debug writeFileSync which is expected no worries greptile
## `LabelFieldMetadataIdentifierId`
Small refactor allowing defining the label identifier field metadata id
of a uuid field metadata type for system object, as some of our standard
object don't have a name field and don't aim to
Also please note that we might remove this build options later in the
sake of the currently installed universal identifier application that we
could compare with the deterministic twenty standard one
## `runFlatFieldMetadataValidators`
Deprecated this pattern which was redundant and not v2 friendly pattern
## Current errors that will address in upcoming PR
Current standard objects and fields metadata does not pass the
validation that we have in place, as historically the sync metadata
would directly consume the repositories and would just ignore the
validation. This is about to change.
Will handle the below errors in dedicated PRs as they will required
upgrade commands in order to migrate the data, or will handle that from
the sync metadata instead still to be determined but nothing critical
here
- camel case field metadata name
- options label invalid format
```json
{
"status": "fail",
"report": {
"fieldMetadata": [
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Name should be in camelCase",
"userFriendlyMessage": {
"id": "P+jdmX",
"message": "Name should be in camelCase"
},
"value": "iCalUID"
}
],
"flatEntityMinimalInformation": {
"id": "68dd83cd-92c8-4233-bb28-47939bab6124",
"name": "iCalUID",
"objectMetadataId": "11c16ab6-9176-439e-a2db-a12c5a58a524"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"email\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "email"
}
},
"value": "email"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"sms\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "sms"
}
},
"value": "sms"
}
],
"flatEntityMinimalInformation": {
"id": "e3caaf2a-e07d-4146-8dfc-9eef904e82c9",
"name": "type",
"objectMetadataId": "4b777de5-4c7b-4af4-9b92-655c0f87512b"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"incoming\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "incoming"
}
},
"value": "incoming"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"outgoing\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "outgoing"
}
},
"value": "outgoing"
}
],
"flatEntityMinimalInformation": {
"id": "d96233a4-93be-45ea-9548-3b50f3c700cf",
"name": "direction",
"objectMetadataId": "480a648a-d2e5-482a-992f-ef053e1b4bb0"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"from\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "from"
}
},
"value": "from"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"to\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "to"
}
},
"value": "to"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"cc\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "cc"
}
},
"value": "cc"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Value must be in UPPER_CASE and follow snake_case \"bcc\"",
"userFriendlyMessage": {
"id": "UBPzFQ",
"message": "Value must be in UPPER_CASE and follow snake_case \"{sanitizedValue}\"",
"values": {
"sanitizedValue": "bcc"
}
},
"value": "bcc"
}
],
"flatEntityMinimalInformation": {
"id": "961c598e-67c3-452d-8bb2-b92c0bc64404",
"name": "role",
"objectMetadataId": "8af8a13c-ff97-4cd3-b70d-52a7dc2924b4"
},
"type": "create_field"
},
{
"status": "fail",
"errors": [
{
"code": "INVALID_FIELD_INPUT",
"message": "Label must not contain a comma",
"userFriendlyMessage": {
"id": "k731jp",
"message": "Label must not contain a comma"
},
"value": "Commas and dot (1,234.56)"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Label must not contain a comma",
"userFriendlyMessage": {
"id": "k731jp",
"message": "Label must not contain a comma"
},
"value": "Spaces and comma (1 234,56)"
},
{
"code": "INVALID_FIELD_INPUT",
"message": "Label must not contain a comma",
"userFriendlyMessage": {
"id": "k731jp",
"message": "Label must not contain a comma"
},
"value": "Dots and comma (1.234,56)"
}
],
"flatEntityMinimalInformation": {
"id": "7fa20caf-2597-42e3-84e5-15a91b125b9b",
"name": "numberFormat",
"objectMetadataId": "a6974302-9e72-461c-aa09-9390f4ff16fc"
},
"type": "create_field"
}
],
"objectMetadata": [],
"view": [],
"viewField": [],
"viewGroup": [],
"index": [],
"serverlessFunction": [],
"cronTrigger": [],
"databaseEventTrigger": [],
"routeTrigger": [],
"viewFilter": [],
"role": [],
"roleTarget": [],
"agent": []
}
}
```
# Introduction
Migrating `pageLayoutTab` to the v2 engine
- Types and constants
- Builder and validate
- Runner
Introduced a new `StrictSyncableEntity` that enforces that
`universalIdentifier` and `applicationId` are defined
As these entities are brand new we could enforce this rule already
This still requires a migration command to associate the existing
entities to custom workspace application instance and define
universalIdentifier
Handled retro-comp of the migration through a migration as upgrade
command fallback
---------
Co-authored-by: bosiraphael <raphael.bosi@gmail.com>
Validations :
- relations count (in common api)
- oneToMany relation nested count (in common)
- requested fields count (in gql)
- root resolver count (in gql)
- root resolver duplicates (in gql)
- specific complexity for metadata / nesting count (in gql)
pipeline.exec() is a a blocking operation which means if we want to
write a large chunk of data (or many maps in our case) it will block
write operations and impact performances.
We prefer to simply call set multiple times in a promise.all, this is an
acceptable tradeoff