Yamtrack's Media Type Stats Bug: Date Range Limitations

Hey there, fellow Yamtrack users! Have you ever noticed something a bit off with the "Played Hours by Media Type" graph in Yamtrack? If you're like me, you probably rely on these stats to get a good grasp of your listening habits. Well, there's a specific issue, and let's dive into it. This article is all about [BUG] Statistics - Played Hours by Media Type - Only works for 1 Year / 12 months. We'll break down the bug, how to reproduce it, what the expected behavior should be, and why it matters.

The Bug: Limited Date Range in Media Type Statistics

The heart of the issue lies within the "Played Hours by Media Type" graph. Currently, it's designed in a way that it only functions correctly when you select a date range of exactly 12 months, like "This Year" or "Last 12 Months." This limitation is a bit of a bummer because it restricts our ability to analyze our listening habits over different timeframes. If you're a data enthusiast like me, you will understand how important it is to have accurate stats! The current design of this graph is a bummer, but let's dive in. The core of this problem is that the "Played Hours by Media Type" graph is limited.

It only shows accurate data when the selected date range is exactly one year. This limitation becomes very apparent when you try to view stats for shorter or longer periods. For example, if you want to see how your listening habits evolved over the last month, the graph might not display the information correctly. The impact of this bug can be significant. First, this bug makes it difficult to get a complete picture of your media consumption habits, it limits the usefulness of the statistics feature, which in turn limits how much you can learn about your listening habits.

Imagine the possibilities if this graph could dynamically adjust to any date range. Let's make it better! We want the graph to be interactive and give us as much information as possible. Let's make sure the x-axis adapts to whatever date range we select! It could show data per hour for "Today", per day for "This Week", or per day for "This Month". The graph will be so useful!

Reproducing the Bug: A Step-by-Step Guide

So, how can you see this bug in action? Here's a simple guide to reproduce it. First, open your Yamtrack instance and navigate to the statistics page. There should be a date range selector, usually at the top of the page. Select a date range that is not 12 months long. Try "This Week", "This Month", or a custom date range that spans more or less than a year. Once you've selected your desired date range, take a look at the "Played Hours by Media Type" graph. You might notice that the data isn't displayed as expected, or the graph might show irrelevant messages, such as "No ratings yet" when it shouldn't. This quick test confirms the bug and highlights the need for a fix. This is a practical and user-friendly guide. You should be able to reproduce the bug following these steps.

Expected Behavior: Dynamic Date Range Adjustment

What should happen? The expected behavior is that the graph should dynamically adapt to whatever date range you choose. The x-axis should adjust accordingly. The x-axis of the bar graph should dynamically change to represent the selected date range. For instance: For "Today", the graph should display 24 bars, one for each hour of the day. For "This Week", there should be 7 bars, one for each day of the week. For "This Month", the graph should display 28-31 bars, depending on the month, with one bar for each day. This dynamic adjustment would make the statistics feature much more versatile and informative. This enhancement would allow users to analyze their listening habits with much more precision and detail. That's a significant upgrade!

Why This Matters: Enhancing User Experience and Data Analysis

Why should we care about this bug? The "Played Hours by Media Type" graph is an important tool for understanding our listening habits. When the date range options are limited, it restricts our ability to perform detailed analysis. Fixing this bug would improve user experience, allowing for more flexible data exploration. Let's think of how this affects the user. This is a very important aspect! When the date range options are restricted, it limits the extent to which you can deeply analyze your listening habits. You should be able to view your favorite media types over different periods, whether it's the last week, month, or even a custom period. This would allow for a deeper understanding of your listening habits.

Imagine tracking trends, identifying peak listening times, or seeing how your media consumption changes over time. With the current limitation, these analyses are either impossible or significantly harder to perform. By fixing this bug, Yamtrack can deliver a better user experience and provide more meaningful insights to its users. It will offer a more comprehensive understanding of media consumption patterns. A dynamic graph that adapts to any date range opens up opportunities for more detailed and useful analysis. This enhancement directly translates to a better user experience, making Yamtrack a more powerful and enjoyable tool for tracking your media consumption.

Potential Solutions and Future Improvements

How can we fix it? The solution would involve modifying the graph's underlying code to correctly handle different date ranges. This might involve adjusting how the data is aggregated and displayed based on the selected period. The code must handle the various date ranges properly. This includes adjusting the x-axis to display the appropriate time intervals. It could involve modifying the database queries that fetch the data. This will ensure that the correct information is retrieved for each date range. This can be complex, but is essential for creating a flexible and useful graph. The user should be able to track trends, identify peak listening times, or see how their media consumption changes over time.

Beyond fixing the bug, there's room for further improvements. Adding features like custom date ranges would be a great addition. This would empower users to explore their listening habits in even greater detail. Consider adding interactive elements to the graph. For instance, allowing users to hover over bars to see precise data for each time period would be amazing. These enhancements would provide users with more valuable and actionable insights. It could also make Yamtrack a more comprehensive and engaging tool for media tracking and analysis.

Conclusion: Making Yamtrack Better

In conclusion, the "Played Hours by Media Type" graph in Yamtrack has a bug that limits its functionality. This issue makes it hard to use the full potential of this feature. By fixing this, we can improve the user experience and give users more detailed insights into their listening habits. We want a dynamic, adaptable graph that adjusts to any date range. Let's work towards making Yamtrack an even better tool for all of us!

For more information on the project and to see the bug reported in the upstream repository, you can check out this link: Yamtrack's GitHub Repository.

I hope this helps! If you want to know more, let me know! Have a great day!