fix(dataset): await generateResponse in Prepare_DataSet and add unit test

[morningstarxcdcode]

Fixes #50\n\nSummary: Add missing when calling inside so the function returns the resolved value. Adds a unit test that mocks to assert returns the expected resolved value.,head:morningstarxcdcode:fix/ds-await,base:master

[gemini-code-assist]

Summary of Changes

Hello @morningstarxcdcode, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a foundational backend system for an AI-powered application, LocalMind. It establishes a robust framework encompassing user authentication, flexible AI model integrations (Google Gemini, Groq, Ollama), and advanced data processing capabilities for extracting information from datasets. The changes also include comprehensive infrastructure setup, development configurations, and utility functions to support a scalable and maintainable application architecture.

Highlights

• Core Fix and Unit Test: The primary fix addresses a missing await keyword in the generateResponse call within the Prepare_DataSet function, ensuring it correctly returns the resolved value. A dedicated unit test has been added to validate this behavior by mocking the generateResponse utility.
• Comprehensive AI Model Integrations: New integrations have been added for Google Gemini, Groq, and Ollama AI models. Each integration includes dedicated controllers, services, utilities, and routing to facilitate interaction with these diverse AI platforms.
• AI Model Configuration System: A robust system for configuring AI models has been introduced, allowing users to define and manage various AI agents. This includes models, controllers, services, and validation schemas for setting up providers, types (cloud/on-premise), specific models, API keys, and system prompts.
• User Authentication and Management: A complete user management system has been implemented, covering user registration, login, profile management, and API key generation. This includes new user models, services, utilities, routes, and validation for secure user interactions.
• Dataset Processing Capability: The system now supports uploading and processing datasets (e.g., CSV files) for intelligent question-answer extraction. This feature leverages the integrated AI models and includes a specialized prompt template for data parsing and validation.
• Infrastructure and Development Setup: Significant infrastructure components have been added, such as environment variable management, Git and Prettier ignore files, Jest configuration for testing, a Cloudflare tunnel setup script, Mongoose database connection, and general utility functions for API responses and safe JSON parsing. A Postman collection is also included for API testing.

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[gemini-code-assist]

Code Review

This pull request is quite large and appears to be an initial commit for the entire backend, rather than just a small fix as the title suggests. My review covers several areas, focusing on correctness, maintainability, and potential bugs. I've identified some critical issues in the AI model configuration logic that need to be addressed, as well as opportunities for improvement in error handling, code duplication, and type safety. Overall, this is a great start, and addressing these points will significantly improve the robustness and quality of the codebase.

[Copilot]

Pull request overview

This pull request addresses issue #50 by adding the missing await keyword when calling generateResponse in the Prepare_DataSet method. While the core fix is correctly implemented, the PR introduces a substantial amount of new code including configuration files, utilities, API endpoints, and tests that extend beyond the stated fix.

Key changes:

• Added await to generateResponse call in DataSet.service.ts
• Added unit test for Prepare_DataSet in DataSet.service.test.ts
• Added extensive project infrastructure including TypeScript configuration, environment validation, user authentication system, AI model integrations, and various utilities

Reviewed changes

Copilot reviewed 58 out of 66 changed files in this pull request and generated 13 comments.

Show a summary per file

File	Description
src/api/v1/DataSet/v1/DataSet.service.ts	Core fix: Added await to generateResponse call
src/api/v1/DataSet/v1/test/DataSet.service.test.ts	Unit test validating the await fix
src/validator/env.ts	Environment variable schema with naming and type issues
src/api/v1/DataSet/v1/DataSet.utils.ts	Dataset utilities with incorrect file path and typo
src/api/v1/user/test/user.test.ts	User registration tests with incorrect endpoint paths and status codes
src/api/v1/AiModelConfig/AiModelConfig.service.ts	AI model config service with incorrect import
src/api/v1/Ai-model/Ollama/Ollama.utils.ts	Ollama utilities with spelling error in error message
src/doc/38357625-fab51741-1298-49db-a9c8-5726035968f0.json	Postman collection with future date
tsconfig.json	TypeScript configuration for the project
jest.config.ts	Jest test configuration
package.json	Project dependencies and scripts
src/utils/safeJson.util.ts	JSON parsing utility with error handling
src/utils/SendResponse.utils.ts	Response utility for consistent API responses
src/server.ts	Express server initialization
src/routes/app.ts	Application route setup
types/express.d.ts	TypeScript type extensions for Express
Other files	Various AI model integrations, authentication, and configuration files

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[morningstarxcdcode]

@abhishek-nexgen-dev