Qwerty

Hi! Yes, I can help create a visual workflow to explain the differences between the Asynchronous Calling and Cronjob approaches. I'll describe the workflow visually.

### **Asynchronous Calling Workflow:**

1. **User Uploads Document:**
   - The user uploads a document from the UI.
   - The document is immediately sent for processing.

2. **Trigger Asynchronous Process:**
   - An asynchronous task is initiated.
   - The system calls the **1st API** to get a request ID.

3. **Check Status:**
   - The **2nd API** is called in the background to check the status using the request ID.
   - This check continues until the status indicates that the extraction is complete.

4. **Fetch Results:**
   - Once the status is "completed," the **3rd API** is called to fetch the extracted JSON.
   - The result is returned to the user or stored.

5. **User Notification:**
   - The user is notified as soon as the extraction is complete.
   - Multiple files can be handled simultaneously without blocking the UI.

### **Cronjob Workflow:**

1. **User Uploads Document:**
   - The user uploads a document from the UI.
   - The document is stored in a queue or database for processing.

2. **Scheduled Cronjob:**
   - At a scheduled interval, the cronjob is triggered.
   - The cronjob fetches documents from the queue and starts processing them.

3. **Request ID Generation:**
   - For each document, the **1st API** is called to get a request ID.

4. **Check Status:**
   - The cronjob sequentially checks the status of each document using the **2nd API**.
   - This is done until the status indicates "completed."

5. **Fetch Results:**
   - The **3rd API** is called to fetch the extracted JSON for each document.
   - Results are stored or returned to the user.

6. **User Notification:**
   - Users are notified when the cronjob has finished processing the batch.
   - The process repeats at the next scheduled interval.

### **Visual Representation:**

I'll create a simple visual representation to illustrate these workflows. Let's go ahead and generate it.

Certainly! Let’s consider example scenarios for both the best-case and worst-case scenarios, and analyze how each would be handled using the Asynchronous Calling and Cronjob approaches.

### **1. Best-Case Scenario**

**Scenario:**  
- The user uploads a document, and the third-party APIs respond promptly.
- The document is small, and the label extraction process is quick.
  
**Handling with Asynchronous Calling:**
- **User Experience:** The document is processed almost immediately after upload. The user receives the extracted JSON within seconds.
- **System Efficiency:** Asynchronous processing ensures that the user interface remains responsive. Since the document is processed quickly, the system can immediately move on to processing other tasks or documents.
- **Outcome:** The user is notified almost instantly with the extraction results, providing a smooth and seamless experience.

**Handling with Cronjob:**
- **User Experience:** The document is queued for processing. If the cronjob runs shortly after the upload, the document is processed quickly, and the user receives the results during the next scheduled run.
- **System Efficiency:** The system processes the document in a batch with others during the cronjob execution, making efficient use of resources.
- **Outcome:** The user may experience a slight delay depending on when the cronjob runs, but generally, the experience is smooth as the process is quick and straightforward.

### **2. Worst-Case Scenario**

**Scenario:**  
- The user uploads multiple large documents.
- The third-party APIs are slow to respond or experience intermittent failures.
- API rate limits are hit due to frequent requests.

**Handling with Asynchronous Calling:**
- **User Experience:** The user uploads multiple documents, and the system processes them in the background. However, if the APIs are slow, the extraction process takes longer. Users might receive results at different times.
- **Error Handling:** If an API call fails, the asynchronous process can implement retry logic. If the API rate limit is hit, the system might delay further calls until the limit resets, but this could cause delays in processing.
- **System Efficiency:** The system continues to handle other documents and tasks without blocking the UI. However, if multiple tasks fail or are delayed, it might put pressure on system resources.
- **Outcome:** Users might face delayed responses, especially for larger documents or if the system is waiting on retry attempts. However, the UI remains responsive, and the system can manage multiple uploads concurrently.

**Handling with Cronjob:**
- **User Experience:** The documents are queued for processing, but if the cronjob runs during a period of API slowness or failures, the processing of the entire batch might be delayed.
- **Error Handling:** The cronjob might detect failures during its scheduled run. If a document’s status is not updated (due to API failure), it might be re-processed in the next scheduled run, leading to significant delays.
- **System Efficiency:** The cronjob runs at regular intervals, so processing might be delayed until the next run if API issues occur. Rate limits are less likely to be hit since requests are more spaced out.
- **Outcome:** Users experience delays, especially if issues are detected and the processing is postponed until the next cronjob run. However, resource usage is predictable, and the system is less likely to hit API rate limits.

### **Summary of Handling:**

- **Asynchronous Calling** provides a more responsive user experience, handling multiple documents in real-time. It’s more suitable for high-volume, concurrent uploads but can face challenges with API failures and rate limits.
  
- **Cronjob** is more controlled and predictable but might delay processing, especially in worst-case scenarios. It’s less likely to hit rate limits but may not be ideal for time-sensitive tasks.

These example scenarios can help illustrate the strengths and weaknesses of each approach in both best-case and worst-case situations during your demonstration.