🚀 Here's the PR! #57

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Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/FreightCompanionDavid/SmartAPIHub/blob/6b697bcb87e8b99558217b4697da594553c3e895/handleEmbeddingRequest.js#L1-L53 https://github.com/FreightCompanionDavid/SmartAPIHub/blob/6b697bcb87e8b99558217b4697da594553c3e895/handleImageGenerationRequest.js#L1-L25 https://github.com/FreightCompanionDavid/SmartAPIHub/blob/6b697bcb87e8b99558217b4697da594553c3e895/handleImageUnderstandingRequest.js#L1-L55 https://github.com/FreightCompanionDavid/SmartAPIHub/blob/6b697bcb87e8b99558217b4697da594553c3e895/utils.js#L1-L80 https://github.com/FreightCompanionDavid/SmartAPIHub/blob/6b697bcb87e8b99558217b4697da594553c3e895/openai-api.js#L1-L95

Step 2: ⌨️ Coding

[X] Create middleware/requestHandlers.js ✓ https://github.com/FreightCompanionDavid/SmartAPIHub/commit/cd4118ea07242f754374756c2b819441caf1dbb5 Edit
Create middleware/requestHandlers.js with contents:
• Create a new module `requestHandlers.js` under the `middleware` directory.
• Move the functions `handleEmbeddingRequest`, `handleImageGenerationRequest`, and `handleImageUnderstandingRequest` from their respective files to this new module. This centralizes request handling logic, making the codebase more organized.
• Update the imports in `app.js` (or any other file that uses these handlers) to import these functions from the new `middleware/requestHandlers.js` module.
• In `requestHandlers.js`, ensure to import necessary dependencies such as `openai-api.js` and `utils.js` for the moved functions to work correctly.

[X] Running GitHub Actions for middleware/requestHandlers.js ✓ Edit
Check middleware/requestHandlers.js with contents:

Ran GitHub Actions for cd4118ea07242f754374756c2b819441caf1dbb5:

[X] Create middleware/validation.js ✓ https://github.com/FreightCompanionDavid/SmartAPIHub/commit/3364b5a2f5dbb64364e4a182cbbd93e346a6ae09 Edit
Create middleware/validation.js with contents:
• Create a new module `validation.js` under the `middleware` directory.
• Move the `validateText` function from `utils.js` to `validation.js`. This separates validation logic into its own module, improving code organization.
• Update any file that uses `validateText` to import it from `middleware/validation.js`.

[X] Running GitHub Actions for middleware/validation.js ✓ Edit
Check middleware/validation.js with contents:

Ran GitHub Actions for 3364b5a2f5dbb64364e4a182cbbd93e346a6ae09:

[X] Modify handleEmbeddingRequest.js ✓ https://github.com/FreightCompanionDavid/SmartAPIHub/commit/80cceeaa906e67168cbaeffa9152f73aec8d7425 Edit
Modify handleEmbeddingRequest.js with contents:
• Refactor the file to only include relevant imports after moving `handleEmbeddingRequest` to `middleware/requestHandlers.js`.
• Improve comments within the file to explain the purpose of the function, the parameters it accepts, and any complex logic it contains. For example, elaborate on the process of generating text embeddings and the role of each progress update.
• Rename variables and functions to be more descriptive. For instance, rename `progress` to `requestProgress` to clarify its purpose.

--- 
+++ 
@@ -1,6 +1,6 @@
-const openai = require('./openai-api');
-const logger = require('./logger'); // Assuming logger.js setup is done
-const { verifyToken } = require('./middleware/auth'); // Importing auth middleware
+const openai = require('../openai-api');
+const logger = require('../logger');
+const { verifyToken } = require('./auth'); // Importing auth middleware

 /**
  * Handles requests for generating text embeddings.
@@ -11,9 +11,10 @@
  * @param {string} [model="text-embedding-3-large"] The model to use for generating embeddings.
  * @returns {Promise} A promise that resolves when the operation is complete.
  */
-async function handleEmbeddingRequest(req, res, progress, model = "text-embedding-3-large") {
+async function handleEmbeddingRequest(req, res, requestProgress, model = "text-embedding-3-large") {
     try {
-        // Authenticate the request asynchronously
+        // Authenticate the request asynchronously using JWT
+        // This ensures that only authenticated requests proceed
         await new Promise((resolve, reject) => {
             verifyToken(req, res, (err) => {
                 if (err) reject(err);
@@ -21,33 +22,34 @@
             });
         });

-        progress.progress = 10; // Update progress after successful authentication
+        requestProgress.progress = 10; // Mark 10% progress after successful authentication

         const text = req.body.text;
-        // Validate the text parameter
+        // Validate the text parameter to ensure it meets the requirements for processing
         if (!text || typeof text !== 'string' || text.length < 10) {
             logger.error('Validation Error: The text parameter must be a non-empty string and at least 10 characters long.', { text });
             res.status(400).send({ message: 'Validation Error: The text parameter must be a non-empty string and at least 10 characters long.' });
             return;
         }

-        progress.progress = 30; // Progress update before sending the request to OpenAI
+        requestProgress.progress = 30; // Update progress to 30% before sending the request to OpenAI

-        // Generate text embeddings using the specified model
+        // Request OpenAI to generate text embeddings for the given text
+        // This involves sending the text to the OpenAI API and receiving the embeddings in response
         const response = await openai.createEmbedding({
             model,
             input: text,
         });

-        progress.progress = 100; // Final progress update after receiving the response
+        requestProgress.progress = 100; // Mark completion of the process by setting progress to 100%

-        // Send the successful response back to the client
+        // Successfully return the generated text embeddings to the client
         res.status(200).send({ success: true, embedding: response.data });
     } catch (error) {
-        progress.progress = 100; // Ensure progress is updated in case of an error
+        requestProgress.progress = 100; // Ensure progress reflects completion even in case of an error
         logger.error({message: "Failed to generate text embeddings due to an error", error: error.message, text, model});

-        // Respond with an error message
+        // Inform the client of the failure to process their request
         res.status(500).send({ message: "Failed to generate text embeddings. Please ensure your request is properly authenticated and the text parameter meets the required criteria." });
     }
 }

[X] Running GitHub Actions for handleEmbeddingRequest.js ✓ Edit
Check handleEmbeddingRequest.js with contents:

Ran GitHub Actions for 80cceeaa906e67168cbaeffa9152f73aec8d7425:

[X] Modify handleImageGenerationRequest.js ✓ https://github.com/FreightCompanionDavid/SmartAPIHub/commit/dc42207f9cf453e0dced21c998a1ede7c7473ac7 Edit
Modify handleImageGenerationRequest.js with contents:
• Since `handleImageGenerationRequest` is moved to `middleware/requestHandlers.js`, refactor this file to only include relevant imports.
• Enhance comments to detail the function's operation, especially explaining the parameters and the image generation process with DALL·E.
• Update variable and function names for clarity, such as changing `prompt` to `imageGenerationPrompt` to reflect its specific use.

--- 
+++ 
@@ -1,11 +1,8 @@
-const openai = require('./openai-api');
-const logger = require('./logger'); // Added for structured logging
-
 /**
- * Handles image generation requests using DALL·E.
+ * This function is responsible for generating images based on a given prompt using OpenAI's DALL·E model. It tracks the request's progress and handles any errors that may occur during the image generation process.
  */
-async function handleImageGenerationRequest(prompt, progress) {
-    progress.progress = 10; // Initial progress after starting the request
+async function handleImageGenerationRequest(imageGenerationPrompt, requestProgress) {
+    requestProgress.progress = 10; // Marks the beginning of the image generation process
     try {
         progress.progress = 30; // Progress before sending the request
         const response = await openai.createImage({
@@ -18,7 +15,10 @@
         return { success: true, images: response.images };
     } catch (error) {
         progress.progress = 100; // Update progress even in case of failure
-        logger.error({message: "Error in image generation with DALL·E", error: error.message, prompt}); // Structured logging format
+        // Log the error with structured logging format
+        // This includes the error message and the prompt used for image generation
+        // It helps in diagnosing issues with the image generation process
+        logger.error({message: "Error in image generation with DALL·E", error: error.message, imageGenerationPrompt});
         throw new Error("Failed to generate image.");
     }
 }

[X] Running GitHub Actions for handleImageGenerationRequest.js ✓ Edit
Check handleImageGenerationRequest.js with contents:

Ran GitHub Actions for dc42207f9cf453e0dced21c998a1ede7c7473ac7:

[X] Modify handleImageUnderstandingRequest.js ✓ https://github.com/FreightCompanionDavid/SmartAPIHub/commit/9bbbb6c03bcc1828bd2bf769a2d4728549008b76 Edit
Modify handleImageUnderstandingRequest.js with contents:
• After moving `handleImageUnderstandingRequest` to `middleware/requestHandlers.js`, adjust this file to only contain necessary imports.
• Add detailed comments to describe the function's purpose, inputs, and the logic behind image understanding using GPT-4 with Vision.
• Improve variable and function names for better readability, for example, renaming `prompt` to `understandingPrompt` to distinguish its context.

--- 
+++ 
@@ -1,6 +1,4 @@
-const openai = require('./openai-api');
-const logger = require('./logger'); // Added for structured logging
-const { setCache, getCache } = require('../middleware/cache');
+// Imports removed as the function has been moved to middleware/requestHandlers.js

 /**
  * Handles image understanding requests using GPT-4 with Vision.
@@ -10,12 +8,14 @@
  * @param {Object} [progress] - Optional object to track the progress of the request.
  * @returns {Promise

FreightCompanionDavid / SmartAPIHub

Sweep: 2. Clearer Code Structure and Comments: #45

Details

Branch

🚀 Here's the PR! #57

Actions (click)

Step 1: 🔎 Searching

Step 2: ⌨️ Coding

Step 3: 🔁 Code Review

FreightCompanionDavid / SmartAPIHub

Sweep: **2. Clearer Code Structure and Comments:** #45

Details

Branch

🚀 Here's the PR! #57

Actions (click)

Step 1: 🔎 Searching

Step 2: ⌨️ Coding

Step 3: 🔁 Code Review

Sweep: 2. Clearer Code Structure and Comments: #45