Enatega App: Restaurant Filters Not Applying On Android

by Admin 56 views
Enatega Customer App: Filters Not Applying on Restaurant Page in Android

Bug Report: Restaurant Filters Not Working in Enatega's Android App

Hey everyone! We've got a critical issue to address in the Enatega Customer Application for Android. It seems like the restaurant filters aren't working as expected, which is a major bummer for users trying to narrow down their choices. This bug report dives deep into the problem, outlining the steps to reproduce it, the expected behavior, and other relevant details. Let's get this fixed!

Problem Description

The core issue is that the filters on the Restaurant Page of the Android app aren't being applied correctly. This means that even when users select specific filter options (like cuisine type, rating, or price range), the list of restaurants displayed doesn't change accordingly. Imagine wanting to find a specific type of food or a restaurant within a certain price range, and the app just shows you everything – that's the frustrating experience users are facing right now.

Steps to Reproduce

To see this in action yourself, follow these simple steps:

  1. Launch the Enatega Customer Application on your Android device.
  2. Tap on the 'Restaurants' menu button. This will take you to the list of available restaurants.
  3. Look for the Filters button, usually located at the top right corner of the screen, and tap on it. This will open up the filter options.
  4. Select any filter you like (e.g., a specific cuisine, a rating range, or a price range).
  5. Now, here's the problem: you'll notice that the restaurant list doesn't change based on your filter selection. It's as if you didn't apply any filters at all!

Expected Behavior

So, how should the filters work? Here's what we expect:

  • Dynamic Filtering: When a user selects filters (e.g., Cuisine, Rating, Price Range), the restaurant list should dynamically change. This means only restaurants that match the selected criteria should be displayed.
  • Immediate Updates: Once a filter is applied, the restaurant list should immediately update to reflect the changes. There should be no need for a manual refresh or any extra steps.
  • Persistent Filters: Filters should remain applied until the user manually clears them. This means even if the user navigates to another page within the app and then returns to the Restaurant Page, the filters should still be active.

In short, the filtering system should make it easy for users to quickly find exactly what they're looking for. When filters aren't working, it defeats the purpose of having them in the first place!

Impact

This bug has a significant impact on the user experience. Users rely on filters to quickly narrow down their options and find restaurants that meet their specific needs and preferences. When the filters don't work, it leads to frustration, wasted time, and a poor overall experience. It can also impact the app's usability and potentially lead users to abandon the app in favor of competitors.

Screenshots/Screen Recording

To further illustrate the issue, a screen recording has been provided:

  • az_recorder_20250108_110415.mp4 (This recording clearly shows the filters not working as expected.)

Device Information

This issue has been observed on the following type of device:

  • Device: [e.g. Infinix Hot 50]
  • OS: [e.g. Android]
  • Browser: [e.g. Application]
  • Version: [e.g. 14]

Knowing the device details helps in pinpointing if the issue is device-specific or a general bug.

Root Cause Analysis (RCA) - Digging Deeper

Okay, guys, now that we've clearly defined the problem, let's put on our detective hats and try to figure out why this is happening. Understanding the root cause is crucial for implementing the correct fix. Here are some potential areas to investigate:

1. API Endpoint Issues

The most likely culprit is a problem with the API endpoint that the app uses to fetch restaurant data. Let's consider a few scenarios:

  • Incorrect Filter Parameters: The app might be sending the filter parameters to the API in an incorrect format. For instance, the API might expect a price range as a numerical value (e.g., 10-20), but the app is sending it as a string (e.g., "$10-$20").
  • Missing Filter Parameters: It's also possible that the app is simply not sending the filter parameters at all! This would result in the API returning the full list of restaurants, ignoring any filters.
  • API Ignoring Filters: On the API side, there might be a bug in the code that processes the filter parameters. The API might be receiving the correct parameters but failing to apply them to the database query.
  • API Rate Limiting: While less likely in this case, it's worth checking if there are any rate limits on the API. If the app is making too many requests in a short period, the API might throttle the requests and return unfiltered data.

2. Data Handling on the App Side

Even if the API is working correctly, there might be issues with how the app handles the data it receives:

  • Incorrect Data Parsing: The app might be receiving the filtered data from the API but failing to parse it correctly. This could result in the app displaying the full list of restaurants instead of the filtered list.
  • Caching Issues: The app might be caching the restaurant data and not updating it when filters are applied. This would explain why the list doesn't change even after selecting filters.
  • UI Update Problems: It's possible that the app is correctly fetching and parsing the filtered data but failing to update the UI to reflect the changes. This could be due to issues with the app's state management or rendering logic.

3. Database Query Problems

If the issue lies within the API, the database queries themselves need scrutiny:

  • Inefficient Queries: The database queries used to filter restaurants might be inefficient, causing slow response times and potentially timeouts. This could lead to the app displaying an error or simply not updating the list.
  • Incorrect Query Logic: The query logic itself might be flawed. For example, it might be using the wrong operators or conditions, resulting in incorrect filtering.
  • Database Indexing: The database might be missing indexes on the columns used for filtering. This can significantly slow down query performance, especially for large datasets.

4. Front-End Logic Errors

Let's not forget the possibility of errors in the front-end code:

  • Filter State Management: The app might not be correctly managing the filter state. For example, it might not be storing the selected filters correctly or clearing them when the user navigates away from the Restaurant Page.
  • Event Handling: There might be issues with the event handling for the filter selections. The app might not be correctly triggering the API request when a filter is selected.
  • UI Rendering: The UI might not be rendering the filtered list correctly. This could be due to errors in the layout or the data binding logic.

Proposed Solutions - Let's Fix This!

Alright, team! We've identified the problem and brainstormed some potential causes. Now, let's get to the exciting part: proposing solutions! Here’s a breakdown of possible fixes, addressing each area we've discussed:

1. API Endpoint Solutions

  • Validate Filter Parameters: The first step is to meticulously validate the filter parameters being sent from the app to the API. We need to ensure that the format, data types, and values are all correct. Use logging or debugging tools to inspect the requests being sent.
  • Thorough API Testing: Implement comprehensive API testing, specifically focusing on filter functionality. This should include unit tests for individual filter parameters and integration tests to ensure that filters work correctly in combination.
  • Review API Code: A code review of the API logic that handles filtering is essential. Look for potential bugs in the query logic, data processing, or error handling.
  • Optimize Database Queries: If database query performance is an issue, we need to optimize the queries. This might involve adding indexes, rewriting queries, or using caching mechanisms.
  • Implement Proper Error Handling: Ensure that the API returns meaningful error messages when filtering fails. This will help the app handle errors gracefully and provide informative feedback to the user.

2. App-Side Solutions

  • Data Parsing Verification: Double-check the code that parses the data received from the API. Make sure it correctly handles the filtered data and doesn't introduce any errors.
  • Caching Strategy Review: Review the app's caching strategy. If caching is the culprit, we need to implement a mechanism to invalidate the cache when filters are applied or cleared.
  • UI Update Mechanism: Examine the code that updates the UI with the filtered data. Ensure that the UI is being updated correctly and efficiently.
  • Debugging Tools: Utilize Android's debugging tools to inspect the app's network requests, data handling, and UI updates. This can help pinpoint the exact location of the bug.

3. Front-End Fixes

  • State Management Audit: Audit the app's state management for filter selections. Verify filters are stored, applied, and cleared correctly, even across navigation changes.
  • Event Handling Checks: Go over event handling for filter selections. Make sure API requests are triggered correctly when a filter is selected.
  • UI Rendering Scrutiny: Scrutinize UI rendering logic, particularly for displaying filtered results. Fix layout or data binding errors.

Conclusion - Let's Get This Done!

So there you have it, guys! We've thoroughly investigated the issue of restaurant filters not working in the Enatega Customer App for Android. We've covered the bug's description, how to reproduce it, expected behavior, impact, potential root causes, and a range of solutions. Now it's time to roll up our sleeves and implement these fixes. By systematically addressing each potential cause, we can ensure a smooth and efficient filtering experience for our users. Let's get this done and make the Enatega app even better! 🚀