89 lines
3.2 KiB
Markdown
89 lines
3.2 KiB
Markdown
# DataDash – Explore public APIs and datasets
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[TOC]
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## Description
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DataDash is a simple Product Hunt-like "tool" for searching and discovering the newest datasets and APIs.
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It provides the ability to up-/downvote entries, and to indicate the quality of a given dataset/API by rating it on a scale of 0 to 5 stars.
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## Installation
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### On Linux and Mac
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To install DataDash, follow these steps:
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#### 1. Clone the repository:
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```bash
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$ git clone https://git.fim.uni-passau.de/padas/24ss-5430-web-and-data-eng/gruppe-3/datadash.git
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```
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#### 2. Enter the repo:
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```bash
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$ cd datadash
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```
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#### 3. Install Java JDK 22: Please refer to the installation instructions for your package manager/OS.
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#### 4. Start the application:
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```bash
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$ ./mvnw spring-boot:run
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```
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Additional dependencies will be downloaded and managed by maven.
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## Deployment
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### 1. Follow [installation steps 1-3](#installation).
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### 2. _(Optional)_ Remove sample data:
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Remove [`src/main/resources/data.sql`](src/main/resources/data.sql) to remove the sample data.
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> **Note:** This will also remove all default categories.
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### 3. Package the application:
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```bash
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$ ./mvnw package
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```
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This will create the `.war` file that you can deploy as you like.
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## Usage
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1. Open your web browser and navigate to `http://localhost:8080`.
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2. Some **dummy data** will be shown (if configured, see [deployment step 2](#2-optional-remove-sample-data)).
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3. Add your own datasets and APIs via the **add button** in the top left corner.
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4. In the top right you can see the **search toolbar**. Here you can **sort**, input **search terms**, and **filter by categories or type of content** (i.e. dataset or API).
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5. For **more information** on a certain dataset just click on it
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1. You can differentiate between **API** and **dataset** via the **blue box**.
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2. The **user perceived quality** is indicated by the **number and stars** on the left hand side just below the title.
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3. You can also **vote** by just **hovering** and then **clicking on the stars**.
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4. Right next to the stars the **summary** is displayed. It's a short text describing the main purpose.
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5. Below the star rating and summary the **dataset's/API's source** is linked
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6. In the next section some metadata regarding the **date of submission**, **category**, **license** and a link to the **Terms of Use** are shown.
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7. Next you can see a **full description**.
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8. At the very bottom of the page there is a button that will bring you **back to the homepage**. If you want to go back to the **previous page** (e.g. search) you might want to use **your browser's back button**.
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9. If you created the entry that you are currently looking at, you will find a **`Delete`** button next to the `Back to main page` button. This will **delete** the entry **without any further confirmation**.
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## Used Frameworks/Libraries
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### Frontend
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None, our whole frontend is written in **native HTML, CSS, and JavaScript**.
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It has been tested on **Firefox 127** and **Chromium 126**.
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### Backend
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We have used the following dependencies:
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- `spring-boot-starter-web`
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- `springdoc-openapi-starter-webmvc-ui`
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- `spring-boot-starter-tomcat`
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- `spring-boot-starter-test`
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- `com.h2database`
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