* feat: record when a conversation was archived The archived chats dialog has a "Date Archived" column that was bound to createdAt, so it showed when the chat was created rather than when it was filed away. Nothing recorded the latter. Conversations now carry archivedAt, set on archive and cleared on unarchive, and the column reads it. Chats archived before the field existed have no stamp and fall back to createdAt, which is exactly what that column already showed for them. The archive view sorts on the new field. archivedAt is absent on every previously archived chat, so the missing-value group is the common case here rather than an edge case: the cursor's null handling, written for titles, now covers both, and an absent stamp survives the cursor as null instead of collapsing to the epoch and replaying the whole archive. * fix: address review findings on the archived-at stamp - Protect `archivedAt` from saveMessageToDatabase's unset sweep. Any persisted field missing from endpointOptions is unset, so sending a message in an archived chat cleared the stamp while leaving isArchived true, silently dropping it into the legacy fallback group. - Order the legacy group by the createdAt the dialog displays rather than by last activity. The cursor's secondary key is now chosen per sort field, so the fallback the cell renders and the order the server returns cannot disagree. - Put that secondary key in the archive index too, so paging the legacy group does not fall back to a blocking sort. * fix: keep archivedAt on a redundant archive request Opening an archived chat and hitting the archive shortcut, or retrying the POST, sent isArchived: true again and replaced Date Archived with now. saveConvo now stamps only on the unarchived-to-archived transition and still clears the field on unarchive. * fix: make archive timestamp updates atomic * test: type the archive race spy against the driver signature * fix: archive without an aggregation-pipeline update DocumentDB documents no support for pipeline-form updates on any engine version, and the repository's compatibility assessment records that a prior P0 rewrote the three that existed. Stamping archivedAt through a $cond pipeline reintroduced one, which would have sent every archive and unarchive to the route's 500 handler on a supported 5.0 deployment. The conditional stamp is now a compare-and-set on isArchived, which keeps the transition atomic without a pipeline: only the write that finds the chat unarchived stamps it, so a duplicate or retried archive leaves the original date alone and an unarchive that lands first is re-stamped. Schema defaults and createdAt-on-insert go back to mongoose's own setDefaultsOnInsert and $setOnInsert, and tenantId is once again stripped by the tenant-isolation plugin rather than by hand. * fix: do not report a racing archive as a missing chat Both conditional writes of the compare-and-set miss when the archive flag flips between them: the chat was already archived when the transition write ran and unarchived again before the already-archived write. saveConvo returned null for a conversation that plainly exists, so POST /api/convos/archive answered 404. Confirm the conversation is really gone before accepting that result, and retry the pair when it is not. An unknown id still costs one existence read and falls straight through to the 404. * fix: resolve a fully contended archive to the chat's real state Alternating archive and unarchive requests can split every attempt of the compare-and-set: each transition write sees the chat archived and each already-archived write sees it unarchived. Exhausting the retries therefore proved nothing about whether the conversation exists, and the no-upsert archive route turned a lost race back into a 404. Read the conversation once more when the retries run out and answer with its actual current state instead. |
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| .. | ||
| misc | ||
| src | ||
| .gitignore | ||
| babel.config.cjs | ||
| jest.config.mjs | ||
| LICENSE | ||
| package.json | ||
| README.md | ||
| tsconfig.build.json | ||
| tsconfig.json | ||
| tsconfig.spec.json | ||
| tsdown.config.mjs | ||
LibreChat Data Schemas Package
This package provides the database schemas, models, types, and methods for LibreChat using Mongoose ODM.
📁 Package Structure
packages/data-schemas/
├── src/
│ ├── schema/ # Mongoose schema definitions
│ ├── models/ # Model factory functions
│ ├── types/ # TypeScript type definitions
│ ├── methods/ # Database operation methods
│ ├── common/ # Shared constants and enums
│ ├── config/ # Configuration files (winston, etc.)
│ └── index.ts # Main package exports
🏗️ Architecture Patterns
1. Schema Files (src/schema/)
Schema files define the Mongoose schema structure. They follow these conventions:
- Naming: Use lowercase filenames (e.g.,
user.ts,accessRole.ts) - Imports: Import types from
~/typesfor TypeScript support - Exports: Export only the schema as default
Example:
import { Schema } from 'mongoose';
import type { IUser } from '~/types';
const userSchema = new Schema<IUser>(
{
name: { type: String },
email: { type: String, required: true },
// ... other fields
},
{ timestamps: true }
);
export default userSchema;
2. Type Definitions (src/types/)
Type files define TypeScript interfaces and types. They follow these conventions:
- Base Type: Define a plain type without Mongoose Document properties
- Document Interface: Extend the base type with Document and
_id - Enums/Constants: Place related enums in the type file or
common/if shared
Example:
import type { Document, Types } from 'mongoose';
export type User = {
name?: string;
email: string;
// ... other fields
};
export type IUser = User &
Document & {
_id: Types.ObjectId;
};
3. Model Factory Functions (src/models/)
Model files create Mongoose models using factory functions. They follow these conventions:
- Function Name:
create[EntityName]Model - Singleton Pattern: Check if model exists before creating
- Type Safety: Use the corresponding interface from types
Example:
import userSchema from '~/schema/user';
import type * as t from '~/types';
export function createUserModel(mongoose: typeof import('mongoose')) {
return mongoose.models.User || mongoose.model<t.IUser>('User', userSchema);
}
4. Database Methods (src/methods/)
Method files contain database operations for each entity. They follow these conventions:
- Function Name:
create[EntityName]Methods - Return Type: Export a type for the methods object
- Operations: Include CRUD operations and entity-specific queries
Example:
import type { Model } from 'mongoose';
import type { IUser } from '~/types';
export function createUserMethods(mongoose: typeof import('mongoose')) {
async function findUserById(userId: string): Promise<IUser | null> {
const User = mongoose.models.User as Model<IUser>;
return await User.findById(userId).lean();
}
async function createUser(userData: Partial<IUser>): Promise<IUser> {
const User = mongoose.models.User as Model<IUser>;
return await User.create(userData);
}
return {
findUserById,
createUser,
// ... other methods
};
}
export type UserMethods = ReturnType<typeof createUserMethods>;
5. Main Exports (src/index.ts)
The main index file exports:
createModels()- Factory function for all modelscreateMethods()- Factory function for all methods- Type exports from
~/types - Shared utilities and constants
🚀 Adding a New Entity
To add a new entity to the data-schemas package, follow these steps:
Step 1: Create the Type Definition
Create src/types/[entityName].ts:
import type { Document, Types } from 'mongoose';
export type EntityName = {
/** Field description */
fieldName: string;
// ... other fields
};
export type IEntityName = EntityName &
Document & {
_id: Types.ObjectId;
};
Step 2: Update Types Index
Add to src/types/index.ts:
export * from './entityName';
Step 3: Create the Schema
Create src/schema/[entityName].ts:
import { Schema } from 'mongoose';
import type { IEntityName } from '~/types';
const entityNameSchema = new Schema<IEntityName>(
{
fieldName: { type: String, required: true },
// ... other fields
},
{ timestamps: true }
);
export default entityNameSchema;
Step 4: Create the Model Factory
Create src/models/[entityName].ts:
import entityNameSchema from '~/schema/entityName';
import type * as t from '~/types';
export function createEntityNameModel(mongoose: typeof import('mongoose')) {
return (
mongoose.models.EntityName ||
mongoose.model<t.IEntityName>('EntityName', entityNameSchema)
);
}
Step 5: Update Models Index
Add to src/models/index.ts:
- Import the factory function:
import { createEntityNameModel } from './entityName';
- Add to the return object in
createModels():
EntityName: createEntityNameModel(mongoose),
Step 6: Create Database Methods
Create src/methods/[entityName].ts:
import type { Model, Types } from 'mongoose';
import type { IEntityName } from '~/types';
export function createEntityNameMethods(mongoose: typeof import('mongoose')) {
async function findEntityById(id: string | Types.ObjectId): Promise<IEntityName | null> {
const EntityName = mongoose.models.EntityName as Model<IEntityName>;
return await EntityName.findById(id).lean();
}
// ... other methods
return {
findEntityById,
// ... other methods
};
}
export type EntityNameMethods = ReturnType<typeof createEntityNameMethods>;
Step 7: Update Methods Index
Add to src/methods/index.ts:
- Import the methods:
import { createEntityNameMethods, type EntityNameMethods } from './entityName';
- Add to the return object in
createMethods():
...createEntityNameMethods(mongoose),
- Add to the
AllMethodstype:
export type AllMethods = UserMethods &
// ... other methods
EntityNameMethods;
📝 Best Practices
- Consistent Naming: Use lowercase for filenames, PascalCase for types/interfaces
- Type Safety: Always use TypeScript types, avoid
any - JSDoc Comments: Document complex fields and methods
- Indexes: Define database indexes in schema files for query performance
- Validation: Use Mongoose schema validation for data integrity
- Lean Queries: Use
.lean()for read operations when you don't need Mongoose document methods
🔧 Common Patterns
Enums and Constants
Place shared enums in src/common/:
// src/common/permissions.ts
export enum PermissionBits {
VIEW = 1,
EDIT = 2,
DELETE = 4,
SHARE = 8,
}
Compound Indexes
For complex queries, add compound indexes:
schema.index({ field1: 1, field2: 1 });
schema.index(
{ uniqueField: 1 },
{
unique: true,
partialFilterExpression: { uniqueField: { $exists: true } }
}
);
Virtual Properties
Add computed properties using virtuals:
schema.virtual('fullName').get(function() {
return `${this.firstName} ${this.lastName}`;
});
🧪 Testing
When adding new entities, ensure:
- Types compile without errors
- Models can be created successfully
- Methods handle edge cases (null checks, validation)
- Indexes are properly defined for query patterns