Java

API reference

Create a client to talk to the API

Credentials credentials = new Credentials(
System.getenv("LAS_CLIENT_ID"),
System.getenv("LAS_CLIENT_SECRET"),
System.getenv("LAS_API_KEY"),
System.getenv("LAS_AUTH_ENDPOINT"),
System.getenv("LAS_API_ENDPOINT")
);
client = new Client(credentials);

Upload a document to get a document id

public void createDocument() throws IOException, APIException, MissingAccessTokenException {
ContentType contentType = ContentType.fromString("image/jpeg");
Path path = Paths.get("path/to/document");
byte[] content = Files.readAllBytes(path);
JSONObject document = client.createDocument(content, contentType);
Assert.assertTrue(document.has("contentType"));
Assert.assertTrue(document.has("documentId"));
}

Make a prediction on a document

Suppose we wish to run inference on a document using one of the available models.

public void createPrediction() throws IOException, APIException, MissingAccessTokenException {
String modelId = "las:model:<hex-uuid>";
JSONObject prediction = client.createPrediction(documentId, modelId);
JSONArray fields = prediction.getJSONArray("predictions");
Assert.assertNotNull(fields);
}

See what models you have available and their model id by using the method listModels()

Set ground truth of document

Suppose we make a prediction that returns incorrect values and we wish to improve the model for future use. We can do so by sending groundTruth to the model, telling it what the expected values should have been.

public void setDocumentGroundTruth() throws IOException, APIException, MissingAccessTokenException {
JSONObject groundTruth = new JSONObject();
JSONObject totalAmount = new JSONObject();
totalAmount.put("label", "total_amount");
totalAmount.put("value", "123.00");
JSONObject purchaseDate = new JSONObject();
purchaseDate.put("label", "purchase_date");
purchaseDate.put("value", "2019-05-23");
List<JSONObject> fieldList = Arrays.asList(totalAmount, purchaseDate);
JSONArray fields = new JSONArray(fieldList);
groundTruth.put("groundTruth", fields);
JSONObject groundTruthResponse = client.updateDocument(documentId, groundTruth);
Assert.assertNotNull(groundTruthResponse.get("documentId"));
Assert.assertNotNull(groundTruthResponse.get("consentId"));
Assert.assertNotNull(groundTruthResponse.get("groundTruth"));
}

Create a batch and associate a few documents with it

Creating a batch is a way to group documents. This is useful for specifying batches of documents to use in improving the model later.

public void createBatch() throws IOException, APIException, MissingAccessTokenException {
CreadBatchOptions options = new CreateBatchOptions()
.setName("TrainingData")
.setDescription("I'm gonna create a new batch, give me a batch id!");
JSONObject response = client.createBatch(options);
Assert.assertNotNull(response.get("batchId"));
}