Help me write Laravel code to integrate MongoDB with Laravel

# Prompt 20: Laravel API Resource Integration with MongoDB

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Build a RESTful API using Laravel Resource controllers and MongoDB models.
2. Use the `jenssegers/mongodb` package for model integration.
3. Implement standard API endpoints for CRUD operations (index, show, store, update, destroy).
4. Return responses using Laravel API Resource classes (e.g., `UserResource`).
5. Add API authentication using Laravel Passport or Sanctum.

Additional considerations:
1. Handle MongoDB's `_id` field correctly in API responses.
2. Document all API endpoints using Swagger or Laravel API documentation tools.
3. Add pagination and filtering for large datasets.

Expected output:
A Laravel REST API using MongoDB, with model resources, authentication, and clean API responses.

# Prompt 19: Implementing Data Validation and Indexing in Laravel MongoDB Models

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Use Laravel form requests and model validation logic for data before saving to MongoDB.
2. Define MongoDB indexes in migrations or using raw commands for fields that require fast lookup.
3. Show how to enforce unique indexes (e.g., on email or username fields) in MongoDB.
4. Handle duplicate key errors gracefully and return user-friendly messages.

Additional considerations:
1. Document how to use Laravel's validation for MongoDB-specific data types.
2. Recommend strategies for managing and updating MongoDB indexes in a Laravel project.
3. Test index enforcement and error handling.

Expected output:
A Laravel solution for robust data validation and efficient indexing when using MongoDB collections.

# Prompt 18: Using MongoDB for Session Storage in Laravel

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Configure Laravel to use MongoDB as a session storage driver.
2. Install and configure a MongoDB session package (e.g., `jenssegers/laravel-mongodb-session`).
3. Update `config/session.php` to set the driver to MongoDB and provide connection options.
4. Store and retrieve session data from a MongoDB collection.

Additional considerations:
1. Ensure session data is serialized and deserialized correctly.
2. Provide methods for clearing expired sessions from MongoDB.
3. Test session persistence and data retrieval.

Expected output:
A Laravel configuration that uses MongoDB to store and manage session data for user authentication and tracking.

# Prompt 17: Laravel Queue Integration with MongoDB

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Use MongoDB as a queue backend in Laravel for job storage.
2. Configure the queue connection in `config/queue.php` for MongoDB (using a package like `vladimir-yuldashev/laravel-queue-mongodb`).
3. Create and dispatch jobs that are persisted in MongoDB.
4. Process queued jobs using Laravel's queue worker.

Additional considerations:
1. Monitor and retry failed jobs via MongoDB.
2. Secure queue data and clean up completed jobs as needed.
3. Ensure the queue worker is properly configured for performance.

Expected output:
A Laravel setup using MongoDB as a queue backend for job processing, with working job creation and consumption.

# Prompt 16: Working with MongoDB Aggregation Pipelines in Laravel

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Use the `jenssegers/mongodb` package to run aggregation pipelines in a Laravel model or repository.
2. Build a complex aggregation (e.g., group by, sum, sort, project) for a reporting dashboard.
3. Pass parameters to the pipeline dynamically from a controller or request.
4. Return and format the results for a front-end chart or report.

Additional considerations:
1. Optimize aggregation performance for large datasets.
2. Allow the pipeline stages to be extended or customized easily.
3. Validate input parameters for the pipeline.

Expected output:
A Laravel example showing a dynamic, parameterized aggregation pipeline with MongoDB, integrated into a reporting workflow.

# Prompt 15: MongoDB GridFS File Storage Integration with Laravel

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Use the MongoDB PHP extension to interact with GridFS from Laravel.
2. Implement file upload and download logic, storing files in MongoDB's GridFS.
3. Create a model or service to manage file metadata and retrieval.
4. Provide a controller and routes for uploading and retrieving files via HTTP endpoints.

Additional considerations:
1. Handle large file uploads efficiently.
2. Ensure correct handling of file types and security.
3. Add optional support for file versioning or metadata search.

Expected output:
A Laravel service and controller for uploading, storing, and retrieving files in MongoDB using GridFS.

# Prompt 14: Using MongoDB Change Streams with Laravel

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Show how to use MongoDB's Change Streams feature in a Laravel application (requires MongoDB replica set).
2. Write a service or command that listens for real-time changes (insert/update/delete) in a collection.
3. Trigger Laravel events or notifications when a change occurs in MongoDB.
4. Optionally, broadcast changes to the front-end using Laravel Echo or Pusher.

Additional considerations:
1. Use MongoDB's `watch()` method for real-time data streaming.
2. Handle connection errors and reconnections in long-running processes.
3. Ensure efficient resource usage for continuous listeners.

Expected output:
A Laravel implementation of MongoDB Change Streams for real-time monitoring and event-driven updates.

# Prompt 13: Embedding Documents in MongoDB with Laravel

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Use the `jenssegers/mongodb` package to define models with embedded documents.
2. Create a parent model (e.g., `BlogPost`) and embed child documents (e.g., `comments`).
3. Demonstrate how to add, update, and remove embedded documents within the parent document.
4. Query for documents based on fields within embedded documents.

Additional considerations:
1. Use the `embedsMany` and `embedsOne` relations provided by the package.
2. Ensure all embedded operations are atomic.
3. Provide example code for managing nested data structures.

Expected output:
A Laravel example showing how to define, insert, and query embedded documents in MongoDB collections.

# Prompt 12: Storing and Querying Geospatial Data with Laravel and MongoDB

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Configure a model in Laravel to store geospatial data (latitude/longitude) using MongoDB.
2. Use the `jenssegers/mongodb` package to create and query geospatial indexes.
3. Write queries to find documents near a certain location using MongoDB's `$near` operator.
4. Display the results in a Laravel view with their distance from a given point.

Additional considerations:
1. Ensure geospatial indexes are created correctly in MongoDB.
2. Validate coordinates before saving them in the database.
3. Allow filtering by distance radius.

Expected output:
A Laravel example for storing, indexing, and querying geospatial data in MongoDB, with a front-end display of nearby results.

# Prompt 11: Laravel MongoDB Transactions

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Use the `jenssegers/mongodb` package for MongoDB integration in Laravel.
2. Demonstrate how to perform multi-document transactions (if using MongoDB replica set).
3. Write a service or repository that executes multiple database operations within a single transaction.
4. Handle transaction rollback in case of an error.
5. Test the transaction logic by creating, updating, and deleting multiple documents atomically.

Additional considerations:
1. Ensure the MongoDB server is running as a replica set to support transactions.
2. Use try-catch blocks for error handling and rollback.
3. Provide user feedback for transaction success or failure.

Expected output:
Laravel MongoDB code for handling multi-document transactions using the jenssegers/mongodb package.

# Prompt 10: Laravel MongoDB Integration with Aggregation Framework

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Set up MongoDB as the database connection in Laravel.
2. Use MongoDB’s aggregation framework to perform complex queries (e.g., grouping, sorting, filtering).
3. Create custom aggregation pipelines to analyze data (e.g., calculate the average price of products in each category).
4. Implement a view to display the results of the aggregation.
5. Test aggregation queries to ensure data is aggregated and displayed correctly.

Additional considerations:
1. Use MongoDB’s `aggregate()` function to perform complex data manipulations.
2. Optimize the aggregation pipeline for performance, especially with large datasets.
3. Handle pagination of large result sets from the aggregation queries.

Expected output:
A Laravel application that uses MongoDB’s aggregation framework to perform complex data queries and returns results based on custom aggregation logic.

# Prompt 9: Laravel MongoDB Integration with Relationships

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Set up MongoDB as the database connection in Laravel.
2. Create models for related collections (e.g., `Post` and `Comment` models with a one-to-many relationship).
3. Use MongoDB’s `hasMany` and `belongsTo` relationships in the Eloquent models.
4. Implement queries to retrieve data from related collections (e.g., get all comments for a post).
5. Test retrieving related data and ensuring that relationships work correctly.

Additional considerations:
1. Ensure that MongoDB is properly handling relationships in Eloquent models.
2. Use `MongoDB` query methods like `populate()` for handling complex relationships.
3. Ensure that relationships are correctly retrieved and displayed.

Expected output:
A Laravel application where MongoDB is used to manage related collections, with working `hasMany` and `belongsTo` relationships in Eloquent models.

# Prompt 8: Laravel MongoDB Integration with Custom Queries

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Set up MongoDB as the database connection in Laravel.
2. Use Laravel’s query builder to create custom queries with MongoDB.
3. Perform advanced queries like `$where`, `$in`, `$gt`, `$lt` to filter data based on multiple conditions.
4. Retrieve results from MongoDB based on custom query criteria (e.g., find users who joined after a certain date).
5. Display the filtered results in a view.

Additional considerations:
1. Ensure that the MongoDB query builder is properly used to execute complex queries.
2. Handle large datasets efficiently by paginating or chunking results.
3. Use Laravel’s `QueryBuilder` and `Eloquent` to interact with MongoDB collections in a structured way.

Expected output:
A Laravel application that interacts with MongoDB using custom queries, performing advanced filtering, and returning results based on custom criteria.

# Prompt 7: Laravel MongoDB Integration with Laravel Scout for Full-Text Search

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Install and configure Laravel Scout and `jenssegers/laravel-mongodb` to work with MongoDB.
2. Set up a `Product` model that uses Laravel Scout for full-text search indexing.
3. Configure MongoDB as the search index driver for Laravel Scout.
4. Implement search functionality to allow users to search products by name or description.
5. Test the search feature to ensure that MongoDB is properly indexed and search results are accurate.

Additional considerations:
1. Ensure that MongoDB is configured as a full-text search provider in `config/scout.php`.
2. Set up the necessary indexing to optimize search performance.
3. Implement search filtering and sorting to improve the user experience.

Expected output:
A Laravel application that integrates MongoDB for full-text search using Laravel Scout, allowing efficient searching of indexed data in MongoDB collections.

# Prompt 6: Laravel MongoDB Integration with Soft Deletes

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Create a Laravel project with MongoDB integration.
2. Enable the soft delete feature in the `Product` model by using `SoftDeletes` trait.
3. Implement soft deletes for MongoDB collections, allowing records to be "soft deleted" (not permanently removed).
4. Create views and controllers for managing products with soft delete functionality.
5. Test by deleting products and ensuring they are not permanently removed from MongoDB.

Additional considerations:
1. Use the `SoftDeletes` trait and ensure MongoDB is compatible with it.
2. Validate the soft delete functionality by checking the database for "deleted" products.
3. Ensure proper handling of the `deleted_at` field in MongoDB.

Expected output:
A Laravel project with MongoDB integration that implements soft deletes on collections, preserving data with a `deleted_at` field instead of permanent deletion.

# Prompt 5: Laravel MongoDB Integration with Aggregation Queries

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Set up MongoDB as the database for a Laravel application.
2. Create a `User` model with MongoDB connection.
3. Implement aggregation queries to retrieve data in a custom format (e.g., group users by registration date).
4. Use MongoDB’s `aggregate()` method to perform grouping, sorting, and counting operations.
5. Display the aggregated results in a view.

Additional considerations:
1. Ensure the aggregation query is optimized for performance, especially for large datasets.
2. Use `chunk()` or `cursor()` methods to process large result sets.
3. Validate the results to ensure the aggregation is correct.

Expected output:
A Laravel MongoDB integration with custom aggregation queries, grouping and sorting data, with efficient handling of large datasets using MongoDB’s `aggregate()` method.

# Prompt 4: Laravel MongoDB Integration with Migrations

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Install and configure MongoDB in a Laravel project.
2. Set up MongoDB collections for use with Laravel migrations.
3. Create a migration to create a `users` collection in MongoDB using the `php artisan make:migration` command.
4. Use MongoDB-specific migration methods (e.g., `create()`, `drop()`) to create and drop collections.
5. Test by running migrations and ensuring the collections are created in MongoDB.

Additional considerations:
1. Use `jenssegers/laravel-mongodb` package for handling MongoDB migrations.
2. Modify the `config/database.php` to include MongoDB as a database connection.
3. Handle migrations and rollbacks carefully in MongoDB.

Expected output:
A Laravel project with MongoDB integration for handling migrations and managing MongoDB collections in the same way as SQL migrations.

# Prompt 3: Laravel MongoDB Integration with Custom Collection

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Set up MongoDB as the database in a Laravel project.
2. Create a custom collection (e.g., `products`) in MongoDB.
3. Use Laravel Eloquent to perform CRUD operations on the `products` collection.
4. Add fields such as `name`, `price`, and `description` to the `Product` model.
5. Test by inserting, updating, and retrieving data from the `products` collection.

Additional considerations:
1. Ensure that the MongoDB database and collection are properly configured in `.env` and `config/database.php`.
2. Use the appropriate MongoDB query builder methods for advanced queries (e.g., `where`, `orderBy`).
3. Validate the data before inserting or updating in MongoDB.

Expected output:
A Laravel project where MongoDB is used to store and manage data in a custom collection (e.g., `products`) using Eloquent ORM.

# Prompt 2: Laravel MongoDB Integration with Authentication

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Set up MongoDB as the database driver in Laravel.
2. Configure authentication with MongoDB for user registration and login.
3. Create a `User` model and set it up to use MongoDB as the storage for user data.
4. Perform CRUD operations to manage user data in MongoDB.
5. Test user registration, login, and profile management using MongoDB.

Additional considerations:
1. Ensure that MongoDB authentication is configured correctly in `config/auth.php`.
2. Implement password hashing and validation with Laravel’s built-in authentication system.
3. Handle MongoDB connection and session management securely.

Expected output:
A Laravel application with MongoDB integration for user authentication, including registration, login, and CRUD operations on user data.

# Prompt 1: Basic Laravel MongoDB Integration

Help me write Laravel code to integrate MongoDB with Laravel

Code requirements:
1. Install MongoDB package for Laravel (e.g., `jenssegers/laravel-mongodb`).
2. Configure MongoDB in the Laravel `.env` file for database connection.
3. Create a model using MongoDB as the database driver.
4. Perform basic CRUD operations on a MongoDB collection using Laravel Eloquent.
5. Test the integration by retrieving data from MongoDB and displaying it on a webpage.

Additional considerations:
1. Ensure that the MongoDB connection is properly set up in `config/database.php`.
2. Use Laravel is Eloquent ORM for interacting with MongoDB collections.
3. Validate that the data is correctly inserted and retrieved from MongoDB.

Expected output:
A basic Laravel project with MongoDB integration, using Eloquent to manage data in MongoDB collections.