This API is a back-end service for a Tokopedia Play platform. It uses a MongoDB database to store video, product, and comment data. It utilizes Express.js for request routing, and socket.io for real-time updates of comments.

The database consists of three collections, each represented by a Mongoose schema:

• Video: Stores details about each video, including a URL image, a thumbnail, and a unique video ID.

• Product: Stores details about products associated with a video, such as a link to the product, the product's title, its price, and a reference to the associated video ID.

• Comment: Stores comments made on a video. Each comment includes a username, the comment text, a timestamp of when the comment was made, and a reference to the associated video ID.

The API is a RESTful API with endpoints for creating, retrieving, updating, and deleting Videos, Products, and Comments.

Get all categories.

GET /categories

Response

{
    "_id": "ObjectId",
    "name": "string",
    "createdAt": "date",
    "updatedAt": "date",
},

POST /categories

Request

{
    "name": "string"
}

GET /videos Get all videos.

Response

[
    {
        "urlImage": "string",
        "thumbnail": "string",
        "_id": "ObjectId",
    },
    ...
]

POST /videos Create a new video.

Request

{
    "urlImage": "string",
    "thumbnail": "string",
}

Response

{
    "message": "Success"
}

PUT /videos/:id Updates a video.

Request

{
    "urlImage": "string",
    "thumbnail": "string",
}

Response

{
    "message": "Success",
    "video": {
        "urlImage": "string",
        "thumbnail": "string",
        "_id": "ObjectId",
    }
}

DELETE /videos/:id Deletes a video.

Response

{
    "message": "Success"
}

GET /videos/:id/views Get views.

Response

{
    message: "Views incremented",
    views: number
}

GET /videos/search Get videos search.

Query Params: search: string

{
    status: "200 OK",
    body: "Array of Video objects"
}

GET /videos/category/:categoryId Get videos by category.

{
    status: "200 OK",
    body: "Array of Video objects with populated categories"
}

GET /products/:videoID Gets all products associated with a video.

Response

{
    "linkProduct": "string",
    "title": "string",
    "price": 0,
    "videoID": "ObjectId",
},

POST /products Creates a new product.

Request

{
    "linkProduct": "string",
    "title": "string",
    "price": 0,
    "videoID": "ObjectId",
},

Response

{
    "message": "Success"
}

PUT /products/:id Updates a product.

Request

{
    "linkProduct": "string",
    "title": "string",
    "price": 0,
    "videoID": "ObjectId",
}

Response

{
    "message": "Success",
    "product": {
        "linkProduct": "string",
        "title": "string",
        "price": 0,
        "videoID": "ObjectId",
    }
}

DELETE /products/:id Deletes a product.

Response

{
    "message": "Success"
}

GET /comments/:videoID Gets all comments for a video.

Response

{
    "username": "string",
    "comment": "string",
    "timestamp": "date",
    "videoID": "ObjectId",
},
...

POST /comments Creates a new comment.

Request

{
    "username": "string",
    "comment": "string",
    "videoID": "ObjectId",
}

Response

{
    "message": "Success"
}

PUT /comments/:id Updates a comment.

Request

{
    "username": "string",
    "comment": "string",
}

Response

{
    "message":
        "Success",
        "comment": {
            "username": "string",
            "comment": "string",
            "timestamp": "date",
            "videoID": "ObjectId",
        }
}

DELETE /comments/:id Deletes a comment.

Response

{
    "message": "Success"
}

Follow these steps to run this API locally:

1. Clone this repository to your local machine.
2. Navigate into the project directory:

cd project-directory

3. Install the necessary dependencies:

npm install

4. Setup environment variables by creating a .env file in the root directory. It should contain the following:

PORT=5000
MONGO_URL=your_mongodb_url

5. Replace your_mongodb_url with your actual MongoDB connection URL.
6. Run the server:

npm run dev

The server should now be running on:

http://localhost:5000.