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* chore: move database model methods to /packages/data-schemas * chore: add TypeScript ESLint rule to warn on unused variables * refactor: model imports to streamline access - Consolidated model imports across various files to improve code organization and reduce redundancy. - Updated imports for models such as Assistant, Message, Conversation, and others to a unified import path. - Adjusted middleware and service files to reflect the new import structure, ensuring functionality remains intact. - Enhanced test files to align with the new import paths, maintaining test coverage and integrity. * chore: migrate database models to packages/data-schemas and refactor all direct Mongoose Model usage outside of data-schemas * test: update agent model mocks in unit tests - Added `getAgent` mock to `client.test.js` to enhance test coverage for agent-related functionality. - Removed redundant `getAgent` and `getAgents` mocks from `openai.spec.js` and `responses.unit.spec.js` to streamline test setup and reduce duplication. - Ensured consistency in agent mock implementations across test files. * fix: update types in data-schemas * refactor: enhance type definitions in transaction and spending methods - Updated type definitions in `checkBalance.ts` to use specific request and response types. - Refined `spendTokens.ts` to utilize a new `SpendTxData` interface for better clarity and type safety. - Improved transaction handling in `transaction.ts` by introducing `TransactionResult` and `TxData` interfaces, ensuring consistent data structures across methods. - Adjusted unit tests in `transaction.spec.ts` to accommodate new type definitions and enhance robustness. * refactor: streamline model imports and enhance code organization - Consolidated model imports across various controllers and services to a unified import path, improving code clarity and reducing redundancy. - Updated multiple files to reflect the new import structure, ensuring all functionalities remain intact. - Enhanced overall code organization by removing duplicate import statements and optimizing the usage of model methods. * feat: implement loadAddedAgent and refactor agent loading logic - Introduced `loadAddedAgent` function to handle loading agents from added conversations, supporting multi-convo parallel execution. - Created a new `load.ts` file to encapsulate agent loading functionalities, including `loadEphemeralAgent` and `loadAgent`. - Updated the `index.ts` file to export the new `load` module instead of the deprecated `loadAgent`. - Enhanced type definitions and improved error handling in the agent loading process. - Adjusted unit tests to reflect changes in the agent loading structure and ensure comprehensive coverage. * refactor: enhance balance handling with new update interface - Introduced `IBalanceUpdate` interface to streamline balance update operations across the codebase. - Updated `upsertBalanceFields` method signatures in `balance.ts`, `transaction.ts`, and related tests to utilize the new interface for improved type safety. - Adjusted type imports in `balance.spec.ts` to include `IBalanceUpdate`, ensuring consistency in balance management functionalities. - Enhanced overall code clarity and maintainability by refining type definitions related to balance operations. * feat: add unit tests for loadAgent functionality and enhance agent loading logic - Introduced comprehensive unit tests for the `loadAgent` function, covering various scenarios including null and empty agent IDs, loading of ephemeral agents, and permission checks. - Enhanced the `initializeClient` function by moving `getConvoFiles` to the correct position in the database method exports, ensuring proper functionality. - Improved test coverage for agent loading, including handling of non-existent agents and user permissions. * chore: reorder memory method exports for consistency - Moved `deleteAllUserMemories` to the correct position in the exported memory methods, ensuring a consistent and logical order of method exports in `memory.ts`.
61 lines
1.7 KiB
TypeScript
61 lines
1.7 KiB
TypeScript
import { Types } from 'mongoose';
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import { logger, hashToken, getRandomValues } from '@librechat/data-schemas';
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export interface InviteDeps {
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createToken: (data: {
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userId: Types.ObjectId;
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email: string;
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token: string;
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createdAt: number;
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expiresIn: number;
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}) => Promise<unknown>;
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findToken: (filter: { token: string; email: string }) => Promise<unknown>;
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}
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/** Creates a new user invite and returns the encoded token. */
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export async function createInvite(
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email: string,
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deps: InviteDeps,
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): Promise<string | { message: string }> {
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try {
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const token = await getRandomValues(32);
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const hash = await hashToken(token);
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const encodedToken = encodeURIComponent(token);
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const fakeUserId = new Types.ObjectId();
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await deps.createToken({
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userId: fakeUserId,
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email,
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token: hash,
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createdAt: Date.now(),
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expiresIn: 604800,
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});
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return encodedToken;
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} catch (error) {
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logger.error('[createInvite] Error creating invite', error);
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return { message: 'Error creating invite' };
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}
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}
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/** Retrieves and validates a user invite by encoded token and email. */
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export async function getInvite(
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encodedToken: string,
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email: string,
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deps: InviteDeps,
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): Promise<unknown> {
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try {
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const token = decodeURIComponent(encodedToken);
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const hash = await hashToken(token);
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const invite = await deps.findToken({ token: hash, email });
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if (!invite) {
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throw new Error('Invite not found or email does not match');
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}
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return invite;
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} catch (error) {
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logger.error('[getInvite] Error getting invite:', error);
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return { error: true, message: (error as Error).message };
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}
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}
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