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Merged
merged 7 commits into from
Apr 10, 2025

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tuancoltech
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@tuancoltech tuancoltech commented Apr 4, 2025

Summary by CodeRabbit

  • Refactor
    • Updated the CSV upload integrations for analytics events—including assessments and learning events across letters, words, storybooks, and letter sounds—by streamlining the underlying service architecture to ensure consistent and reliable data processing.
  • New Features
    • Introduced new interfaces for uploading CSV files related to letter assessments, letter learning, letter sound learning, storybooks, and word assessments, enhancing the upload functionality.
  • Bug Fixes
    • Removed outdated interfaces for uploading CSV files, improving overall system performance and eliminating redundancy.

@tuancoltech tuancoltech requested a review from a team as a code owner April 4, 2025 03:14
@tuancoltech tuancoltech self-assigned this Apr 4, 2025
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coderabbitai bot commented Apr 4, 2025

Walkthrough

The changes remove existing Java interfaces for CSV file uploads and introduce new Kotlin equivalents in the analytics REST package. Each new Kotlin interface defines a method uploadCsvFile, annotated with Retrofit’s @Multipart and @POST, to handle endpoint-specific CSV uploads for different event types (letter, letter-sound, storybook, and word events). The new methods accept an optional file parameter and return a Retrofit Call<ResponseBody?> for asynchronous processing. Additionally, the upload logic in UploadEventsWorker has been refactored to consolidate multiple methods into a single, more generic method.

Changes

Files Change Summary
app/src/.../LetterAssessmentEventService.java
app/src/.../LetterAssessmentEventService.kt
Removed Java interface and added a new Kotlin interface for handling CSV uploads for letter assessment events.
app/src/.../LetterLearningEventService.java
app/src/.../LetterLearningEventService.kt
Removed Java interface and added a new Kotlin interface for handling CSV uploads for letter learning events.
app/src/.../LetterSoundLearningEventService.java
app/src/.../LetterSoundLearningEventService.kt
Removed Java interface and added a new Kotlin interface for handling CSV uploads for letter-sound learning events.
app/src/.../StoryBookLearningEventService.java
app/src/.../StoryBookLearningEventService.kt
Removed Java interface and added a new Kotlin interface for handling CSV uploads for storybook learning events.
app/src/.../WordAssessmentEventService.java
app/src/.../WordAssessmentEventService.kt
Removed Java interface and added a new Kotlin interface for handling CSV uploads for word assessment events.
app/src/.../WordLearningEventService.java
app/src/.../WordLearningEventService.kt
Removed Java interface and added a new Kotlin interface for handling CSV uploads for word learning events.
app/src/.../UploadEventsWorker.kt Refactored upload methods into a single method uploadLearningEvents(eventType: LearningEventUploadType) to reduce code duplication.
app/src/.../LearningEventUploadType.kt Added a new enum LearningEventUploadType to define different types of learning events.
app/src/.../UploadService.kt Introduced a new interface UploadService for handling CSV uploads with a generic method.

Sequence Diagram(s)

sequenceDiagram
    participant C as Client Application
    participant R as Retrofit Service Interface
    participant S as Analytics Server

    C->>R: uploadCsvFile(filePart)
    R->>S: POST /analytics/{event-type}-events/csv (multipart/form-data)
    S-->>R: Response (ResponseBody)
    R-->>C: Call<ResponseBody?>
Loading

Possibly related issues

  • Refactor upload methods in UploadEventsWorker to reduce code duplication #198: The changes in the main issue, which involve the removal of the LetterAssessmentEventService interface, are related to the retrieved issue as both address the upload functionality for learning events, with the retrieved issue focusing on refactoring the upload methods in UploadEventsWorker to reduce code duplication, which includes handling the same upload logic.

Suggested reviewers

  • jo-elimu
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@tuancoltech tuancoltech requested a review from jo-elimu April 4, 2025 03:36
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Actionable comments posted: 0

🧹 Nitpick comments (4)
app/src/main/java/ai/elimu/analytics/rest/LetterLearningEventService.kt (1)

10-14: Kotlin interface for CSV upload looks clean and functional!

The interface is well structured with appropriate Retrofit annotations for making multipart HTTP requests.

I have a couple of small suggestions:

  1. Consider using a more descriptive parameter name than part (e.g., csvFile) to clarify its purpose
  2. Consider whether the parameter should be nullable - do you actually want to allow uploads with no file?
- fun uploadCsvFile(@Part part: MultipartBody.Part?): Call<ResponseBody?>
+ fun uploadCsvFile(@Part csvFile: MultipartBody.Part?): Call<ResponseBody?>
app/src/main/java/ai/elimu/analytics/rest/WordLearningEventService.kt (1)

10-14: Interface looks good and follows the same pattern as other services

The interface correctly defines a multipart POST request for uploading CSV files related to word learning events.

As with the other interfaces, consider:

  1. Using a more descriptive parameter name than part
  2. Evaluating if the parameter should be nullable
- fun uploadCsvFile(@Part part: MultipartBody.Part?): Call<ResponseBody?>
+ fun uploadCsvFile(@Part csvFile: MultipartBody.Part?): Call<ResponseBody?>
app/src/main/java/ai/elimu/analytics/rest/WordAssessmentEventService.kt (1)

10-14: Interface is well-structured and consistent with other services

The Retrofit annotations are correctly applied for a multipart POST request to upload CSV files for word assessment events.

Same considerations as for the other interfaces:

  1. More descriptive parameter name would improve readability
  2. Verify if nullability is required
- fun uploadCsvFile(@Part part: MultipartBody.Part?): Call<ResponseBody?>
+ fun uploadCsvFile(@Part csvFile: MultipartBody.Part?): Call<ResponseBody?>
app/src/main/java/ai/elimu/analytics/rest/LetterAssessmentEventService.kt (1)

10-14: Interface implementation is correct and consistent

The interface properly defines the endpoint for letter assessment events CSV uploads with the appropriate Retrofit annotations.

Same suggestions as for the other interfaces:

  1. More descriptive parameter name would improve readability
  2. Verify if nullability is required for the parameter and response

Since all these service interfaces follow the same pattern with different endpoints, you might consider a more generic approach to reduce duplication. For example:

interface CsvUploadService {
    @Multipart
    @POST
    fun uploadCsvFile(@Url endpoint: String, @Part csvFile: MultipartBody.Part?): Call<ResponseBody?>
}

// Usage example:
csvUploadService.uploadCsvFile("analytics/letter-assessment-events/csv", csvFilePart)

This is optional and depends on your architecture preferences, but could reduce code duplication if you have many similar services.

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📥 Commits

Reviewing files that changed from the base of the PR and between 86e0f46 and 996f4e6.

📒 Files selected for processing (12)
  • app/src/main/java/ai/elimu/analytics/rest/LetterAssessmentEventService.java (0 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterAssessmentEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterLearningEventService.java (0 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterSoundLearningEventService.java (0 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterSoundLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/StoryBookLearningEventService.java (0 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/StoryBookLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/WordAssessmentEventService.java (0 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/WordAssessmentEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/WordLearningEventService.java (0 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/WordLearningEventService.kt (1 hunks)
💤 Files with no reviewable changes (6)
  • app/src/main/java/ai/elimu/analytics/rest/LetterAssessmentEventService.java
  • app/src/main/java/ai/elimu/analytics/rest/StoryBookLearningEventService.java
  • app/src/main/java/ai/elimu/analytics/rest/LetterLearningEventService.java
  • app/src/main/java/ai/elimu/analytics/rest/LetterSoundLearningEventService.java
  • app/src/main/java/ai/elimu/analytics/rest/WordAssessmentEventService.java
  • app/src/main/java/ai/elimu/analytics/rest/WordLearningEventService.java
⏰ Context from checks skipped due to timeout of 90000ms (2)
  • GitHub Check: build (windows-latest, 17)
  • GitHub Check: test
🔇 Additional comments (2)
app/src/main/java/ai/elimu/analytics/rest/StoryBookLearningEventService.kt (1)

1-14: Implementation looks clean and follows Retrofit best practices.

The Kotlin conversion of the StoryBookLearningEventService interface is well-structured with appropriate use of Retrofit annotations. The nullable parameter type for the file upload (MultipartBody.Part?) correctly indicates that the file part may be optional, and the nullable response type (ResponseBody?) allows for potential null responses from the server.

The endpoint path is clearly defined and follows a consistent naming pattern that we can see across the analytics services.

app/src/main/java/ai/elimu/analytics/rest/LetterSoundLearningEventService.kt (1)

1-14: Clean implementation following the consistent service pattern.

The Kotlin conversion of the LetterSoundLearningEventService interface follows the same clean pattern as the other converted services. The interface is properly annotated with Retrofit's @Multipart and @POST annotations, and the method signature correctly handles the optional file upload with nullable types.

This implementation maintains consistency with the other service interfaces, making the codebase more maintainable.

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Actionable comments posted: 2

🧹 Nitpick comments (3)
app/src/main/java/ai/elimu/analytics/task/UploadEventsWorker.kt (3)

26-31: Reduce repetition by iterating over enum values.
Instead of manually calling uploadLearningEvents for each enum constant, consider iterating over them in a loop. This reduces verbosity and future-proofs the code if new event types are introduced.

- uploadLearningEvents(LearningEventUploadType.LETTER_LEARNING)
- uploadLearningEvents(LearningEventUploadType.LETTER_ASSESSMENT)
- ...
+ LearningEventUploadType.values().forEach { eventType ->
+     uploadLearningEvents(eventType)
+ }

46-46: Variable naming mismatch.
wordLearningEventsDir might be misleading when referencing other event types. Suggest a more generic name like learningEventsDir.

- val wordLearningEventsDir = File(versionCodeDir, eventType.type)
+ val learningEventsDir = File(versionCodeDir, eventType.type)

76-76: Error body parsing.
Reading the entire error body as a string is acceptable for logging, but consider partial reads or specialized error parsing if error responses can be large or structured (e.g., JSON).

📜 Review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 996f4e6 and 1079739.

📒 Files selected for processing (9)
  • app/src/main/java/ai/elimu/analytics/entity/LearningEventUploadType.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterAssessmentEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/LetterSoundLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/StoryBookLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/UploadService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/WordAssessmentEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/rest/WordLearningEventService.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/task/UploadEventsWorker.kt (4 hunks)
🚧 Files skipped from review as they are similar to previous changes (6)
  • app/src/main/java/ai/elimu/analytics/rest/WordAssessmentEventService.kt
  • app/src/main/java/ai/elimu/analytics/rest/WordLearningEventService.kt
  • app/src/main/java/ai/elimu/analytics/rest/StoryBookLearningEventService.kt
  • app/src/main/java/ai/elimu/analytics/rest/LetterAssessmentEventService.kt
  • app/src/main/java/ai/elimu/analytics/rest/LetterSoundLearningEventService.kt
  • app/src/main/java/ai/elimu/analytics/rest/LetterLearningEventService.kt
⏰ Context from checks skipped due to timeout of 90000ms (2)
  • GitHub Check: build (windows-latest, 17)
  • GitHub Check: test
🔇 Additional comments (6)
app/src/main/java/ai/elimu/analytics/rest/UploadService.kt (1)

8-10:

✅ Verification successful

Consider annotating the interface method.
Currently, there is no @Multipart or @POST annotation on uploadCsvFile. If this interface is meant to be used directly without extensions, you may need to add an endpoint annotation (e.g., @POST) and possibly @Multipart above the function. Otherwise, confirm that each implementing interface provides its own annotation.

Please verify at runtime whether this method is reaching the intended endpoint or confirm that your subclasses handle the Retrofit annotations. If needed, run:


🏁 Script executed:

#!/bin/bash
rg -A 3 "@Multipart" # Confirm usage in derived service interfaces

Length of output: 2716


Verified: Retrofit annotations are correctly applied in all derived service interfaces.
The UploadService interface intentionally omits @Multipart and @POST annotations, as all concrete implementations (e.g., LetterLearningEventService, LetterSoundLearningEventService, etc.) correctly annotate their override of uploadCsvFile.
Please ensure that UploadService is not used directly without one of its properly annotated implementations.

app/src/main/java/ai/elimu/analytics/entity/LearningEventUploadType.kt (1)

10-17: Good enum organization.
Defining event types as an enum improves readability. Consider verifying that the type string values match expected server endpoints or naming conventions.

app/src/main/java/ai/elimu/analytics/task/UploadEventsWorker.kt (4)

4-6: No issues with import statements.
The newly added imports are valid and reflect the updated Kotlin classes.


36-37: Method is clear and cohesive.
Consistent naming and single-responsibility design improves maintainability.


65-65: Logic is straightforward.
Invocation of uploadCsvFile with the multipart file part is appropriate.


73-73: Reading the response body as string.
Current approach is fine for small payloads. However, large bodies might cause memory overhead. Verify response size constraints or consider streaming if needed.

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Actionable comments posted: 1

🧹 Nitpick comments (3)
app/src/main/java/ai/elimu/analytics/task/UploadEventsWorker.kt (3)

45-45: Rename variable to match its more generic purpose.

The variable name wordLearningEventsDir suggests it's specific to word learning events, but it's now used for all event types.

-                val wordLearningEventsDir = File(versionCodeDir, eventType.type)
+                val eventTypeDir = File(versionCodeDir, eventType.type)

Ensure that any references to this variable later in the method are also updated.


35-84: Consider further refactoring the upload method.

The uploadLearningEvents method is quite long and performs multiple responsibilities: finding directories, listing files, creating requests, sending requests, and handling responses.

Consider breaking this down into smaller, more focused methods:

private fun uploadLearningEvents(eventType: LearningEventUploadType) {
    Timber.i("uploadLearningEvents: $eventType")
    
    val versionCodeDirs = getVersionCodeDirectories()
    for (versionCodeDir in versionCodeDirs) {
        val eventTypeDir = getEventTypeDirectory(versionCodeDir, eventType)
        val files = getFilesInDirectory(eventTypeDir)
        
        for (file in files) {
            uploadFile(file, eventType)
        }
    }
}

private fun getVersionCodeDirectories(): Array<File> {
    val filesDir = applicationContext.filesDir
    return (filesDir.listFiles() ?: emptyArray()).filter { 
        it.name.startsWith("version-code-") 
    }.toTypedArray()
}

private fun getEventTypeDirectory(versionCodeDir: File, eventType: LearningEventUploadType): File {
    return File(versionCodeDir, eventType.type)
}

private fun getFilesInDirectory(directory: File): Array<File> {
    Timber.i("Uploading CSV files from $directory")
    val files = directory.listFiles() ?: emptyArray()
    Timber.i("files.length: ${files.size}")
    Arrays.sort(files)
    return files
}

private fun uploadFile(file: File, eventType: LearningEventUploadType) {
    Timber.i("file.getAbsoluteFile(): ${file.absoluteFile}")
    Timber.i("file.getName(): ${file.name}")

    val uploadService = createUploadService(eventType)
    val part = createMultipartBody(file)
    val call = uploadService.uploadCsvFile(part)

    executeCall(call)
}

private fun createUploadService(eventType: LearningEventUploadType): Any {
    val baseApplication = applicationContext as BaseApplication
    val retrofit = baseApplication.retrofit
    return retrofit.create(eventType.toServiceClass())
}

private fun createMultipartBody(file: File): MultipartBody.Part {
    val requestBody = RequestBody.create(MediaType.parse("multipart/form-data"), file)
    return MultipartBody.Part.createFormData("file", file.name, requestBody)
}

private fun executeCall(call: Call<ResponseBody?>) {
    Timber.i("call.request(): ${call.request()}")
    try {
        val response = call.execute()
        Timber.i("response: $response")
        Timber.i("response.isSuccessful(): ${response.isSuccessful}")
        
        if (response.isSuccessful) {
            val bodyString = response.body()?.string()
            Timber.i("bodyString: $bodyString")
        } else {
            val errorBodyString = response.errorBody()?.string()
            Timber.e("errorBodyString: $errorBodyString")
            // TODO: Handle error
        }
    } catch (e: IOException) {
        Timber.e(e)
    }
}

This approach makes the code more modular, easier to test, and simplifies future changes.


41-83: Consider handling potential parallel uploads.

The current implementation uploads files sequentially, which could be inefficient for multiple files.

Consider using Kotlin Coroutines to upload files in parallel with limits:

private suspend fun uploadLearningEvents(eventType: LearningEventUploadType) {
    Timber.i("uploadLearningEvents: $eventType")
    
    val filesDir = applicationContext.filesDir
    withContext(Dispatchers.IO) {
        filesDir.listFiles()?.filter { it.name.startsWith("version-code-") }?.forEach { versionCodeDir ->
            Timber.i("versionCodeDir: $versionCodeDir")
            val eventTypeDir = File(versionCodeDir, eventType.type)
            Timber.i("Uploading CSV files from $eventTypeDir")
            
            val files = eventTypeDir.listFiles()?.sorted()
            files?.let {
                Timber.i("files.length: ${it.size}")
                // Limit concurrent uploads to 3 at a time
                it.map { file ->
                    async { uploadSingleFile(file, eventType) }
                }.chunked(3).forEach { chunk ->
                    chunk.awaitAll()
                }
            }
        }
    }
}

private suspend fun uploadSingleFile(file: File, eventType: LearningEventUploadType): Boolean {
    Timber.i("Uploading file: ${file.name}")
    
    // Rest of the upload logic...
    // Would need to convert to use suspending functions with Retrofit
}

This approach would require updating the Worker to use CoroutineWorker instead.

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📒 Files selected for processing (2)
  • app/src/main/java/ai/elimu/analytics/entity/LearningEventUploadType.kt (1 hunks)
  • app/src/main/java/ai/elimu/analytics/task/UploadEventsWorker.kt (4 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • app/src/main/java/ai/elimu/analytics/entity/LearningEventUploadType.kt
⏰ Context from checks skipped due to timeout of 90000ms (2)
  • GitHub Check: build (windows-latest, 17)
  • GitHub Check: test
🔇 Additional comments (7)
app/src/main/java/ai/elimu/analytics/task/UploadEventsWorker.kt (7)

4-5: Imports correctly added for new functionality.

The newly added imports support the refactored implementation that uses the LearningEventUploadType enum and its toServiceClass extension function.


25-30: Good consolidation of upload methods.

The previous implementation likely had separate methods for each event type, which has been refactored to use a single parameterized method. This reduces code duplication and improves maintainability.


35-36: Well-structured method signature with descriptive parameter.

The new method accepts an enum parameter that clearly communicates its purpose. The logging statement also includes the event type for better debugging.


58-58: Clean use of dynamic service class selection.

Using eventType.toServiceClass() eliminates the need for hardcoded service class references and switch statements, making the code more maintainable.


62-62: Generic method call simplifies the interface.

All service implementations now use a consistent uploadCsvFile method, which allows for this simpler, more maintainable code.


70-70: Improved null safety with Kotlin safe calls.

Good use of the safe call operator (?.) to prevent potential NullPointerExceptions when accessing response bodies.

Also applies to: 73-73


60-60:

✅ Verification successful

Update deprecated RequestBody.create() method.

The create() method is deprecated in newer versions of OkHttp.

-                        val requestBody =
-                            RequestBody.create(MediaType.parse("multipart/form-data"), file)
+                        val requestBody = RequestBody.create(
+                            MediaType.get("multipart/form-data"), file)

Or for even newer versions:

val requestBody = file.asRequestBody("multipart/form-data".toMediaType())

🌐 Web query:

What is the current recommended way to create a RequestBody in OkHttp?

💡 Result:

The recommended way to create a RequestBody in OkHttp involves using its factory methods with proper content typing and data handling. Here's a structured breakdown of current practices:

1. Basic Content Creation

For standard data types, use RequestBody.create() with explicit media types:

MediaType JSON = MediaType.get("application/json; charset=utf-8");
String jsonPayload = "{\"key\":\"value\"}";
RequestBody body = RequestBody.create(jsonPayload, JSON);

This handles:

  • Automatic charset encoding for strings[2][6]
  • File uploads via RequestBody.create(MediaType, File)[2]
  • Byte array/stream data with offset control[2]

2. Form Data

Use FormBody.Builder for x-www-form-urlencoded content:

RequestBody formBody = new FormBody.Builder()
    .add("username", "testuser")
    .add("password", "secret")
    .build();

This ensures proper encoding and formatting for HTML form submissions[5][9].

3. Multipart Uploads

For file attachments or mixed content:

RequestBody multipartBody = new MultipartBody.Builder()
    .setType(MultipartBody.FORM)
    .addFormDataPart("text", "description.txt", 
         RequestBody.create("File metadata", MediaType.get("text/plain")))
    .addFormDataPart("file", "image.png",
         RequestBody.create(new File("path/image.png"), MediaType.get("image/png")))
    .build();

Supports streaming large files without loading entire content into memory[1][6].

4. Best Practices

  • Media Type Validation: Use MediaType.get() instead of parse() for strict type checking[6]
  • Centralized Configuration: Store common media types as constants[4]
  • Async Safety: Always close response bodies using try-with-resources[4][5]
try (Response response = client.newCall(request).execute()) {
    // Handle response
}

5. Special Cases

  • Cancelable Uploads: Reference the Call object for mid-request cancellation[1]
  • Duplex Streaming: Use custom RequestBody implementations for HTTP/2 duplex communication (advanced use cases)[2]

The current OkHttp 4.x API maintains backward compatibility with these patterns while optimizing for modern networking needs like HTTP/2 and TLS 1.3[6]. Always declare the latest version in Gradle:

implementation("com.squareup.okhttp3:okhttp:4.12.0")

Citations:


Fix RequestBody creation in UploadEventsWorker.kt

The deprecation of RequestBody.create() with MediaType.parse() is confirmed. To align with current OkHttp practices, please update the code as follows:

  • Use MediaType.get("multipart/form-data") instead of MediaType.parse("multipart/form-data") when calling RequestBody.create().

  • Alternatively, if you're on OkHttp 4.x or later, you can simplify the code using the extension function:

    val requestBody = file.asRequestBody("multipart/form-data".toMediaType())

This update ensures your code uses the recommended API methods for creating a RequestBody.

Timber.i("bodyString: $bodyString")
} else {
val errorBodyString = response.errorBody()!!.string()
val errorBodyString = response.errorBody()?.string()
Timber.e("errorBodyString: $errorBodyString")
// TODO: Handle error
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🛠️ Refactor suggestion

Implement error handling for failed uploads.

There's a TODO comment about handling errors, but no implementation yet. Consider adding proper error handling to improve robustness.

Implement error handling for failed uploads:

                            } else {
                                val errorBodyString = response.errorBody()?.string()
                                Timber.e("errorBodyString: $errorBodyString")
-                               // TODO: Handle error
+                               // If server returns a specific error code or message, handle it accordingly
+                               when {
+                                   response.code() == 401 -> {
+                                       Timber.e("Unauthorized. Authentication required.")
+                                       // Maybe trigger re-authentication
+                                   }
+                                   response.code() == 413 -> {
+                                       Timber.e("File too large for server.")
+                                       // Maybe split the file or compress it
+                                   }
+                                   else -> {
+                                       Timber.e("Upload failed with code: ${response.code()}")
+                                       // Consider implementing a retry mechanism
+                                       // or tracking failed uploads for later retry
+                                   }
+                               }
                            }
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
// TODO: Handle error
} else {
val errorBodyString = response.errorBody()?.string()
Timber.e("errorBodyString: $errorBodyString")
// If server returns a specific error code or message, handle it accordingly
when {
response.code() == 401 -> {
Timber.e("Unauthorized. Authentication required.")
// Maybe trigger re-authentication
}
response.code() == 413 -> {
Timber.e("File too large for server.")
// Maybe split the file or compress it
}
else -> {
Timber.e("Upload failed with code: ${response.code()}")
// Consider implementing a retry mechanism
// or tracking failed uploads for later retry
}
}
}

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@coderabbitai Let's create an issue for this and assign to me.

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🧩 Analysis chain

kotlin
when {
response.code() == 401 -> {
Timber.e("Unauthorized. Authentication required.")
// Maybe trigger re-authentication
}
response.code() == 413 -> {
Timber.e("File too large for server.")
// Maybe split the file or compress it
}
else -> {
Timber.e("Upload failed with code: ${response.code()}")
// Consider implementing a retry mechanism
// or tracking failed uploads for later retry
}
}


## References
This issue was created based on discussion in PR #205: https://github.com/elimu-ai/analytics/pull/205#discussion_r2028276551" \
  --assignee "tuancoltech"

@tuancoltech I've created an issue for implementing error handling for failed uploads in the UploadEventsWorker class and assigned it to you. This will help track the work needed to improve the robustness of the upload functionality.

elimu.ai's mission is to build innovative learning software that empowers out-of-school children to teach themselves basic reading📖, writing✍🏽 and math🔢 within 6 months.


🏁 Script executed:

#!/bin/bash
# Create an issue for implementing error handling for failed uploads
gh issue create \
  --title "Implement error handling for failed uploads in UploadEventsWorker" \
  --body "## Description
Currently, there's a TODO comment in the UploadEventsWorker.kt file about handling errors for failed uploads, but no implementation yet.

## Requirements
Implement proper error handling for failed uploads to improve robustness. Consider handling specific HTTP response codes such as:
- 401 (Unauthorized): Trigger re-authentication
- 413 (Request Entity Too Large): Consider file splitting or compression
- Other error codes: Implement appropriate fallback mechanisms like retries

## Suggested Implementation

Length of output: 116


I apologize for the error in my script. Let me try again with a properly formatted command:


🏁 Script executed:

#!/bin/bash
# Create an issue for implementing error handling for failed uploads
gh issue create \
  --title "Implement error handling for failed uploads in UploadEventsWorker" \
  --body "## Description
Currently, there's a TODO comment in the UploadEventsWorker.kt file about handling errors for failed uploads, but no implementation yet.

## Requirements
Implement proper error handling for failed uploads to improve robustness. Consider handling specific HTTP response codes such as:
- 401 (Unauthorized): Trigger re-authentication
- 413 (Request Entity Too Large): Consider file splitting or compression
- Other error codes: Implement appropriate fallback mechanisms like retries

## Suggested Implementation
\`\`\`kotlin
when {
    response.code() == 401 -> {
        Timber.e(\"Unauthorized. Authentication required.\")
        // Maybe trigger re-authentication
    }
    response.code() == 413 -> {
        Timber.e(\"File too large for server.\")
        // Maybe split the file or compress it
    }
    else -> {
        Timber.e(\"Upload failed with code: \${response.code()}\")
        // Consider implementing a retry mechanism
        // or tracking failed uploads for later retry
    }
}
\`\`\`

## References
This issue was created based on discussion in PR #205: https://github.com/elimu-ai/analytics/pull/205#discussion_r2028276551" \
  --assignee "tuancoltech"

Length of output: 1326


@tuancoltech I've successfully created issue #220 for implementing error handling for failed uploads in the UploadEventsWorker. The issue has been assigned to you and can be found at: #220

elimu.ai's mission is to build innovative learning software that empowers out-of-school children to teach themselves basic reading📖, writing✍🏽 and math🔢 within 6 months.

@tuancoltech tuancoltech merged commit 658c73a into main Apr 10, 2025
5 checks passed
@tuancoltech tuancoltech deleted the convert_upload_service_to_kotlin branch April 10, 2025 15:35
@coderabbitai coderabbitai bot mentioned this pull request Apr 11, 2025
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Refactor upload methods in UploadEventsWorker to reduce code duplication
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