How to Access Microsoft Azure Cognitive Services Anomaly Detector API in Java
- Azure Cognitive Services Anomaly Detector API can be accessed using Java by making HTTP requests. To interact with this API, follow the steps below to set up your Java environment and make successful API requests.
Setup Maven Project
- Create a new Maven project in your preferred Integrated Development Environment (IDE) or use an existing one. If you're creating a new project, choose "maven-archetype-quickstart" for simplicity.
- Add the necessary dependencies to your `pom.xml`. You will need an HTTP client library, such as Apache HttpComponents:
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5.13</version>
</dependency>
Configure Environment Variables
- Store your Azure subscription key and endpoint URL in environment variables or a configuration file. This is recommended for security reasons. You can also hard-code them for quick testing during development, though this is not advised for production.
Create HTTP Request
- Use Apache HttpComponents to create and execute an HTTP POST request to the Anomaly Detector endpoint. Below is a sample Java method to perform this task:
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
public class AnomalyDetectorClient {
private static final String subscriptionKey = "YOUR_SUBSCRIPTION_KEY";
private static final String endpoint = "YOUR_ENDPOINT_URL";
public static void detectAnomalies(String jsonData) throws Exception {
CloseableHttpClient httpClient = HttpClients.createDefault();
HttpPost request = new HttpPost(endpoint + "/anomalydetector/v1.0/timeseries/entire/detect");
request.setHeader("Content-Type", "application/json");
request.setHeader("Ocp-Apim-Subscription-Key", subscriptionKey);
request.setEntity(new StringEntity(jsonData));
try (CloseableHttpResponse response = httpClient.execute(request)) {
String responseBody = EntityUtils.toString(response.getEntity());
System.out.println(responseBody);
}
}
}
Prepare JSON Input Data
- The Anomaly Detector API expects JSON input data representing the time series data you wish to evaluate. Here is an example of how to structure your JSON data:
{
"series": [
{"timestamp": "2020-01-01T00:00:00Z", "value": 20.0},
{"timestamp": "2020-01-02T00:00:00Z", "value": 22.0},
{"timestamp": "2020-01-03T00:00:00Z", "value": 21.5}
],
"granularity": "daily"
}
Execute the Anomaly Detection
- Invoke the `detectAnomalies` method with your JSON series data as a string. This will call the Anomaly Detector API and return the results:
public class TestAnomalyDetection {
public static void main(String[] args) throws Exception {
String jsonData = "{ \"series\": [ {\"timestamp\": \"2020-01-01T00:00:00Z\", \"value\": 20.0}, {\"timestamp\": \"2020-01-02T00:00:00Z\", \"value\": 22.0}, {\"timestamp\": \"2020-01-03T00:00:00Z\", \"value\": 21.5} ], \"granularity\": \"daily\" }";
AnomalyDetectorClient.detectAnomalies(jsonData);
}
}
Analyze API Response
- Once you make a successful request, the response will contain information about detected anomalies. Parse and process this response according to your application's needs.
Handle Exceptions
- Implement proper error handling by catching exceptions and adding retries if necessary. Network errors or invalid requests should be managed gracefully to ensure application stability.
Secure the API Key
- Ensure your subscription key is secure. Do not expose it in frontend code, and consider using Azure's Key Vault or environment variables to manage sensitive configurations.
