Welcome back! Today's focus will be on downloading files from an API using Dart. Understanding how to retrieve files efficiently not only enhances your technical skills but also broadens your application's capabilities. In this lesson, we'll explore a practical scenario using our To-Do list API, which, in addition to managing tasks, supports handling text files such as notes. These notes can be downloaded or uploaded through the /notes endpoint, allowing functionality for storing supplementary information. For example, users might keep notes about a meeting or important reminders. By understanding how to interact with this endpoint, you can effectively manage notes within your application. By the end of this lesson, you'll know how to request a file from an API, save it locally, and verify its contents.

Let's dive into downloading files with precision and confidence!

GET requests are fundamental for retrieving files from an API. When you send a GET request using Dart's http.get(), your client communicates with the server at a specified URL, asking it to provide the file. The server responds with the file data, if available and permissible, along with an HTTP status code (like 200 OK).

Here's a basic example of downloading a file named welcome.txt from our API at http://localhost:8000/notes. This approach downloads the entire file at once, which is manageable for smaller files.

This code sends a GET request and writes the full response content to a local file. This method works well for small files but can strain memory for larger files.

When dealing with large files, downloading them all at once can be inefficient and strain memory. To address this, Dart allows you to handle streaming using http.Request and response.stream.pipe(file). This approach optimizes memory usage and maintains efficiency by downloading files in chunks.

Here's a step-by-step breakdown of how to modify the basic GET request to use streaming:

1. Create an HTTP Request: Instead of using http.get(), we use http.Request to create a request object. This allows us to handle the response as a stream.

2. Send the Request and Receive a Streamed Response: Use request.send() to send the request. This returns a StreamedResponse object, which provides access to the response stream.

3. Open a File for Writing: Before piping the stream, open a file in write mode. This is where the streamed data will be saved.

4. Pipe the Response Stream to the File: Use response.stream.pipe(file) to transfer the data from the response stream directly into the file. This method handles the data in chunks, reducing memory usage.

5. Close the File: After the streaming is complete, close the file to ensure all data is written and resources are released.

By utilizing streaming, even large files are downloaded efficiently. This technique is especially useful when file sizes increase.

Below is the complete code example demonstrating how to download the file using streaming:

Once you've downloaded a file, it's imperative to verify its contents to ensure a successful transfer. In our example, after downloading, you can open the file and print its content to confirm data integrity:

If everything is functioning correctly, you should see an output similar to:

This step is essential for data verification. The familiar error-handling techniques come into play once more, using try-catch blocks to gracefully address any issues during the download and verification process.

In this lesson, you explored two methods for downloading files from an API: a straightforward approach for smaller files and a more efficient streaming method for larger files. You've practiced verifying file integrity by reading its contents post-download and reinforced your knowledge of error management. As you proceed to the practice exercises, you'll have the opportunity to apply these skills, reinforcing your ability to manage API interactions effectively. Keep experimenting with different files and settings, as this will further enhance your understanding and proficiency. Exciting topics await, such as file uploads and handling paginated responses. Your journey in mastering API interactions continues!