Enhance IoT Sensor List: Separate Latitude/Longitude Columns

Hey guys! Today, we're diving into an enhancement project focused on making our IoT sensor data more user-friendly. Specifically, we're going to talk about separating the latitude and longitude information in our sensor list. This might sound like a small tweak, but trust me, it’s going to make a big difference in how we can use and understand this data. So, let's get started!

Overview

Our main goal here is to improve the readability and sortability of our IoT sensor list by splitting the latitude and longitude values into separate columns. Currently, these values are crammed into a single cell, which isn't ideal. This enhancement directly addresses issue #20, ensuring we're continuously making our platform better. Think of it as decluttering your desk – everything becomes easier to find and use!

The Current State: A Single, Cluttered Column

Right now, we have a single "위경도" (Latitude/Longitude) column in our IoT sensor list. This column displays both latitude and longitude together within the same cell. Here’s a snippet of the current code:

{
 key: 'latitude',
 header: '위경도',
 cell: (_,row) => (
 <div className="flex flex-col">
 <span>{row.latitude}</span>
 <span className="text-xs text-gray-500">{row.longitude}</span>
 </div>
 )
}

And here's how it looks in our table:

┌──────────┐
│ 위경도 │
├──────────┤
│ 37.49284 │
│ 127.0130 │
└──────────┘

The Problem: Why This Isn't Working

This setup has several drawbacks. First off, it’s hard to quickly distinguish which value is latitude and which is longitude. It's like trying to read a paragraph with all the words jammed together – you can do it, but it's not fun. Secondly, and perhaps more importantly, we can’t sort our sensors by latitude or longitude. Imagine trying to organize a list of cities by their individual coordinates when the data is combined – a total headache!

Also, squeezing two values into a small space reduces readability, and copying and pasting these values becomes a clumsy affair. We want to make things as smooth as possible for our users, and this current setup just isn't cutting it.

The Improved Approach: Separate Columns for Clarity

So, what’s the solution? Simple: we're going to split the latitude and longitude into their own columns. This will make the data much cleaner and easier to work with. It’s like giving each value its own spotlight.

The New Table Structure

Here’s how our improved table structure will look:

{
 key: 'latitude',
 header: '위도',
 cell: (_, row) => (
 <div className="text-center tabular-nums">
 {row.latitude ? row.latitude.toFixed(5) : '-'} 
 </div>
 )
},
{
 key: 'longitude',
 header: '경도',
 cell: (_, row) => (
 <div className="text-center tabular-nums">
 {row.longitude ? row.longitude.toFixed(5) : '-'} 
 </div>
 )
}

And here’s how it will appear in our table:

┌──────────┬──────────┐
│ 위도 │ 경도 │
├──────────┼──────────┤
│ 37.49284 │ 127.0130 │
│ 37.39201 │ 127.1114 │
│ - │ - │
└──────────┴──────────┘

Much better, right?

Implementation Details: Getting Down to Business

Okay, let’s talk about how we’re actually going to make this happen. Don't worry; it’s straightforward.

1. Modifying Column Definitions

We need to tweak our column definitions in the apps/a-iot/src/pages/IoTSensor.tsx file, specifically in the featureColumns array. This is where we tell our table how to display each column.

Removing the Old Code

First, we’ll remove the old, combined latitude/longitude column definition:

{
 key: 'latitude',
 header: '위경도',
 cell: (_,row) => (
 <div className="flex flex-col">
 <span>{row.latitude}</span>
 <span className="text-xs text-gray-500">{row.longitude}</span>
 </div>
 )
}

Adding the New Columns

Next, we'll add the new, separate columns for latitude and longitude:

{
 key: 'latitude',
 header: '위도',
 cell: (_, row) => (
 <div className="text-center tabular-nums">
 {row.latitude ? row.latitude.toFixed(5) : '-'} 
 </div>
 )
},
{
 key: 'longitude',
 header: '경도',
 cell: (_, row) => (
 <div className="text-center tabular-nums">
 {row.longitude ? row.longitude.toFixed(5) : '-'} 
 </div>
 )
}

2. Styling Considerations: Making It Look Good

We’re not just about functionality; we also want our table to look polished. Here are a few styling choices we’ve made:

Central Alignment

We’re using the text-center class to center-align the data in the cells. This keeps the numbers visually consistent and easy to scan. It’s all about making it easy on the eyes, guys!

Tabular Numbers

The tabular-nums class is a neat trick. It applies a fixed-width font to the numbers, which aligns the decimal points. This is super helpful for quickly comparing values, especially when you're scanning down a column.

Decimal Precision

We’re using toFixed(5) to limit the latitude and longitude values to five decimal places. This gives us a precision of about 1 meter, which is a good balance between accuracy and readability. Of course, we can adjust this if our project requires a different level of precision.

Handling Null Values

For those cases where we don’t have latitude or longitude data, we’re displaying a - character. This is much clearer than leaving the cell blank, which can be confusing.

3. Column Order: Where Do These Columns Go?

To keep things consistent with our current table structure, we recommend inserting the new latitude and longitude columns after the “공원명” (Park Name) column. Here’s the suggested order:

1. 번호 (Number)
2. 디바이스 코드 (Device Code)
3. 공원명 (Park Name)
4. 위도 (Latitude) ⭐ NEW
5. 경도 (Longitude) ⭐ NEW
6. 이벤트 상태 (Event Status)
7. 배터리 잔량 (Battery Level)
8. 활성화 (Active)
9. 지도보기 (Map View)

Expected Benefits: The Payoff

So, what’s all this work going to get us? Let’s break it down.

1. Improved Readability

This is the big one. By separating latitude and longitude, we’re making it much easier to see and understand the data. No more squinting and trying to figure out which number is which! The labels in the header clearly identify each column, eliminating any confusion.

2. Sortability

With separate columns, we can now sort our sensor list by latitude or longitude. This opens up a whole new world of possibilities for organizing and analyzing our data. Want to see all the sensors in a particular latitude range? Now you can!

3. Increased Data Usability

Copying and pasting individual latitude or longitude values is now a breeze. This is a huge win for anyone who needs to use this data in other systems or applications. Plus, a clear data structure makes it easier to integrate with external systems.

4. Responsive Design

Splitting the columns makes our table more responsive, especially on mobile devices. Each column can be displayed independently, ensuring the data remains readable even on smaller screens. And if we need to, we can add features to hide or show columns, giving users even more control over how they view the data.

Checklist: Making Sure We’ve Got It Covered

Before we wrap up, let’s run through a checklist to make sure we’ve covered all our bases.

Implementation

• [ ] Split the latitude/longitude column into separate columns.
• [ ] Apply central alignment and tabular-nums styling.
• [ ] Format the values to five decimal places.
• [ ] Handle null values by displaying '-'.

Testing

• [ ] Verify that the table layout displays correctly.
• [ ] Check responsive behavior on various screen sizes.
• [ ] Test copying and pasting data.

Additional Considerations (Optional)

• [ ] Add sorting functionality to the latitude/longitude columns.
• [ ] Optimize column widths.
• [ ] Integrate coordinate clicks with map display functionality (currently handled by the '지도보기' button).

Tech Stack: The Tools We’re Using

For those of you who are curious about the technical details, here’s the stack we’re working with:

• Frontend: React 19, TypeScript
• UI: Tailwind CSS v4 (text-center, tabular-nums)
• Component: DataTable (Column 정의)

References: Digging Deeper

If you want to learn more, here are some useful resources:

• API Documentation: http://dev.pluxity.com/api/api-docs
• Swagger UI: http://dev.pluxity.com/api/swagger-ui/index.html
• Relevant File: apps/a-iot/src/pages/IoTSensor.tsx (featureColumns array)

Final Thoughts: Wrapping It Up

So, there you have it! By separating the latitude and longitude columns in our IoT sensor list, we're making our data more readable, sortable, and usable. This small change will have a big impact on how we interact with our sensor data. Remember, guys, it’s the little things that often make the biggest difference.

Keep an eye on the decimal precision – we’re currently using five decimal places (about 1-meter precision), but we can tweak this based on project needs. Also, Tailwind’s tabular-nums class is a lifesaver for aligning those decimal points. And finally, if we decide to add column sorting later, we’ll need to extend our DataTable component.

Thanks for tuning in, and happy coding!