Step by Step Guide to Building a Fireflies.ai API Integration in Java

Introduction

Hey there, fellow developer! Ready to supercharge your Java project with the power of Fireflies.ai? You're in the right place. This guide will walk you through integrating the Fireflies.ai API into your Java application. We'll keep things snappy and to the point, so you can get up and running in no time.

Prerequisites

Before we dive in, make sure you've got:

• A Java development environment (I know you've got this covered)
• A Fireflies.ai API key (grab one from their developer portal)
• An HTTP client library (we'll use OkHttp in this guide)

Setting Up the Project

Let's kick things off by setting up our project:

1. Create a new Java project in your favorite IDE
2. Add the OkHttp dependency to your pom.xml:

<dependency>
    <groupId>com.squareup.okhttp3</groupId>
    <artifactId>okhttp</artifactId>
    <version>4.10.0</version>
</dependency>

Authentication

Fireflies.ai uses API key authentication. Here's how to set it up:

OkHttpClient client = new OkHttpClient.Builder()
    .addInterceptor(chain -> {
        Request original = chain.request();
        Request request = original.newBuilder()
            .header("Authorization", "Bearer YOUR_API_KEY")
            .build();
        return chain.proceed(request);
    })
    .build();

Making API Requests

Now, let's make some requests! Here's a quick example of a GET request:

Request request = new Request.Builder()
    .url("https://api.fireflies.ai/graphql")
    .build();

try (Response response = client.newCall(request).execute()) {
    System.out.println(response.body().string());
} catch (IOException e) {
    e.printStackTrace();
}

For POST requests, you'll need to include a request body. Here's how:

String json = "{\"query\":\"Your GraphQL query here\"}";
RequestBody body = RequestBody.create(json, MediaType.get("application/json"));

Request request = new Request.Builder()
    .url("https://api.fireflies.ai/graphql")
    .post(body)
    .build();

Core Functionalities

Let's look at some key features you can implement:

Transcribing Audio Files

String query = "mutation { uploadAudioUrl(input: {url: \"https://example.com/audio.mp3\"}) { id } }";
// Use this query in a POST request

Retrieving Transcriptions

String query = "query { transcript(id: \"TRANSCRIPT_ID\") { text } }";
// Use this query in a POST request

Searching Transcripts

String query = "query { search(query: \"important topic\") { results { text } } }";
// Use this query in a POST request

Error Handling and Best Practices

Always check the response status and handle errors gracefully:

if (!response.isSuccessful()) {
    throw new IOException("Unexpected code " + response);
}

Don't forget about rate limiting! Implement exponential backoff if you're making lots of requests.

Testing the Integration

Unit test your API calls using a mocking library like MockWebServer. For integration tests, use a test API key and real API calls (but be mindful of rate limits).

Sample Use Case

Let's put it all together with a simple transcript search application:

public class FirefliesSearch {
    private static final OkHttpClient client = // Initialize as shown earlier

    public static void main(String[] args) throws IOException {
        String searchTerm = "AI";
        String query = String.format("query { search(query: \"%s\") { results { text } } }", searchTerm);
        
        RequestBody body = RequestBody.create(query, MediaType.get("application/json"));
        Request request = new Request.Builder()
            .url("https://api.fireflies.ai/graphql")
            .post(body)
            .build();

        try (Response response = client.newCall(request).execute()) {
            if (!response.isSuccessful()) throw new IOException("Unexpected code " + response);
            System.out.println(response.body().string());
        }
    }
}

Conclusion

And there you have it! You're now equipped to integrate Fireflies.ai into your Java projects. Remember, this is just scratching the surface - there's a whole world of features to explore in the Fireflies.ai API.

Happy coding, and may your transcripts be ever accurate!