Adding and Removing Data

Manage the data in your app.

Inputs

The API is built around a simple idea. You send inputs (images) to the service and it returns predictions. In addition to receiving predictions on inputs, you can also index inputs and their predictions to later search against. You can also index inputs with concepts to later train your own model.

When you add an input to your app, the base workflow of your app runs, computing the outputs from all the models in that workflow and indexes those outputs. Those indexed outputs are what incur the indexing fee monthly, and enable search and training on top of the outputs of the base workflow models.

Add Inputs

You can add inputs one by one or in bulk. If you do send bulk, you are limited to sending 128 inputs at a time.

Important: adding inputs is an asynchronous operation. That means it will process indexing of your inputs through your default workflow in the background, which can take some time. In order to check the status of each input you add, see the section on Get Input by ID to look for status 30000 (INPUT_IMAGE_DOWNLOAD_SUCCESS) status code on each input to know when it's successfully been indexed.

Add an input using a publicly accessible URL

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
MultiInputResponse postInputsResponse = stub.postInputs(
PostInputsRequest.newBuilder().addInputs(
Input.newBuilder().setData(
Data.newBuilder().setImage(
Image.newBuilder()
.setUrl("https://samples.clarifai.com/metro-north.jpg")
.setAllowDuplicateUrl(true)
)
)
).build()
);
if (postInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post inputs failed, status: " + postInputsResponse.getStatus());
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.PostInputs(
{
inputs: [{data: {image: {url: "https://samples.clarifai.com/metro-north.jpg", allow_duplicate_url: true}}}]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post inputs failed, status: " + response.status.description);
}
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
post_inputs_response = stub.PostInputs(
service_pb2.PostInputsRequest(
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
image=resources_pb2.Image(
url="https://samples.clarifai.com/metro-north.jpg",
allow_duplicate_url=True
)
)
)
]
),
metadata=metadata
)
if post_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(post_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(post_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(post_inputs_response.outputs[0].status.details))
raise Exception("Post inputs failed, status: " + post_inputs_response.status.description)
cURL
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg",
"allow_duplicate_url": true
}
}
}
]
}'\
https://api.clarifai.com/v2/inputs
Javascript (REST)
const raw = JSON.stringify({
"user_app_id": {
"user_id": "{YOUR_USER_ID}",
"app_id": "{YOUR_APP_ID}"
},
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg",
"allow_duplicate_url": true
}
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
},
body: raw
};
fetch("https://api.clarifai.com/v2/inputs", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

Add an input using bytes

The data must be base64 encoded. When you add a base64 image to our servers, a copy will be stored and hosted on our servers. If you already have an image hosting service we recommend using it and adding images via the url parameter.

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
import com.google.protobuf.ByteString;
import java.io.File;
import java.nio.file.Files;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
MultiInputResponse postInputsResponse = stub.postInputs(
PostInputsRequest.newBuilder().addInputs(
Input.newBuilder().setData(
Data.newBuilder().setImage(
Image.newBuilder()
.setBase64(ByteString.copyFrom(Files.readAllBytes(
new File("{YOUR_IMAGE_LOCATION}").toPath()
)))
)
)
).build()
);
if (postInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post inputs failed, status: " + postInputsResponse.getStatus());
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
const fs = require("fs");
const imageBytes = fs.readFileSync("{YOUR_IMAGE_LOCATION}");
stub.PostInputs(
{
inputs: [{data: {image: {base64: imageBytes}}}]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post inputs failed, status: " + response.status.description);
}
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
with open("{YOUR_IMAGE_LOCATION}", "rb") as f:
file_bytes = f.read()
post_inputs_response = stub.PostInputs(
service_pb2.PostInputsRequest(
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
image=resources_pb2.Image(
base64=file_bytes
)
)
)
]
),
metadata=metadata
)
if post_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(post_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(post_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(post_inputs_response.outputs[0].status.details))
raise Exception("Post inputs failed, status: " + post_inputs_response.status.description)
cURL
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"base64": '"`base64 /home/user/image.jpeg`"'"
}
}
}
]
}'\
https://api.clarifai.com/v2/inputs
Javascript (REST)
const raw = JSON.stringify({
"user_app_id": {
"user_id": "{YOUR_USER_ID}",
"app_id": "{YOUR_APP_ID}"
},
"inputs": [
{
"data": {
"image": {
"base64": "{YOUR_BYTES_STRING}"
},
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
},
body: raw
};
fetch("https://api.clarifai.com/v2/inputs", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

Add multiple inputs with ids

In cases where you have your own id and you only have one item per image, you are encouraged to send inputs with your own id. This will help you later match the input to your own database. If you do not send an id, one will be created for you. If you have more than one item per image, it is recommended that you put the product id in metadata.

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
MultiInputResponse postInputsResponse = stub.postInputs(
PostInputsRequest.newBuilder()
.addInputs(
Input.newBuilder()
.setId("train1")
.setData(
Data.newBuilder().setImage(
Image.newBuilder()
.setUrl("https://samples.clarifai.com/metro-north.jpg")
.setAllowDuplicateUrl(true)
)
)
)
.addInputs(
Input.newBuilder()
.setId("puppy1")
.setData(
Data.newBuilder().setImage(
Image.newBuilder()
.setUrl("https://samples.clarifai.com/puppy.jpeg")
.setAllowDuplicateUrl(true)
)
)
)
.build()
);
if (postInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
for (Input input : postInputsResponse.getInputsList()) {
System.out.println("Input " + input.getId() + " status: ");
System.out.println(input.getStatus() + "\n");
}
throw new RuntimeException("Post inputs failed, status: " + postInputsResponse.getStatus());
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.PostInputs(
{
inputs: [
{
id: "train1",
data: {image: {url: "https://samples.clarifai.com/metro-north.jpg", allow_duplicate_url: true}}
},
{
id: "puppy1",
data: {image: {url: "https://samples.clarifai.com/puppy.jpeg", allow_duplicate_url: true}}
},
]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
for (const input of response.inputs) {
console.log("Input " + input.id + " status: ");
console.log(JSON.stringify(input.status, null, 2) + "\n");
}
throw new Error("Post inputs failed, status: " + response.status.description);
}
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
post_inputs_response = stub.PostInputs(
service_pb2.PostInputsRequest(
inputs=[
resources_pb2.Input(
id="train1",
data=resources_pb2.Data(
image=resources_pb2.Image(
url="https://samples.clarifai.com/metro-north.jpg",
allow_duplicate_url=True
)
)
),
resources_pb2.Input(
id="puppy1",
data=resources_pb2.Data(
image=resources_pb2.Image(
url="https://samples.clarifai.com/puppy.jpeg",
allow_duplicate_url=True
)
)
),
]
),
metadata=metadata
)
if post_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
for input_object in post_inputs_response.inputs:
print("Input " + input_object.id + " status:")
print(input_object.status)
print("\tCode: {}".format(post_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(post_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(post_inputs_response.outputs[0].status.details))
raise Exception("Post inputs failed, status: " + post_inputs_response.status.description)
cURL
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg",
"allow_duplicate_url": true
}
},
"id": "train1"
},
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpeg",
"allow_duplicate_url": true
}
},
"id": "puppy1"
}
]
}'\
https://api.clarifai.com/v2/inputs
Javascript (REST)
const raw = JSON.stringify({
"user_app_id": {
"user_id": "{YOUR_USER_ID}",
"app_id": "{YOUR_APP_ID}"
},
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/metro-north.jpg",
"allow_duplicate_url": true
}
},
"id": "input1"
},
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpeg",
"allow_duplicate_url": true
}
},
"id": "puppy1"
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
},
body: raw
};
fetch("https://api.clarifai.com/v2/inputs", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

Add inputs with concepts

If you would like to add an input with concepts, you can do so like this. Concepts play an important role in creating your own models using your own concepts. You can learn more about creating your own models above. Concepts also help you search for inputs. You can learn more about search here.

When you add a concept to an input, you need to indicate whether the concept is present in the image or if it is not present.

You can add inputs with concepts as either a URL or bytes.

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
MultiInputResponse postInputsResponse = stub.postInputs(
PostInputsRequest.newBuilder().addInputs(
Input.newBuilder().setData(
Data.newBuilder()
.setImage(
Image.newBuilder()
.setUrl("https://samples.clarifai.com/puppy.jpeg")
.setAllowDuplicateUrl(true)
)
.addConcepts(
Concept.newBuilder()
.setId("charlie")
.setValue(1f)
)
)
).build()
);
if (postInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post inputs failed, status: " + postInputsResponse.getStatus());
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.PostInputs(
{
inputs: [{data: {
image: {url: "https://samples.clarifai.com/puppy.jpeg", allow_duplicate_url: true},
concepts: [{id: "charlie", value: 1.}]
}}]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post inputs failed, status: " + response.status.description);
}
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
post_inputs_response = stub.PostInputs(
service_pb2.PostInputsRequest(
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
image=resources_pb2.Image(
url="https://samples.clarifai.com/puppy.jpeg",
allow_duplicate_url=True
),
concepts=[resources_pb2.Concept(id="charlie", value=1.)]
)
)
]
),
metadata=metadata
)
if post_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(post_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(post_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(post_inputs_response.outputs[0].status.details))
raise Exception("Post inputs failed, status: " + post_inputs_response.status.description)
cURL
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpeg",
"allow_duplicate_url": true
},
"concepts":[
{
"id": "charlie",
"value": 1
}
]
}
}
]
}'\
https://api.clarifai.com/v2/inputs
Javascript (REST)
const raw = JSON.stringify({
"user_app_id": {
"user_id": "{YOUR_USER_ID}",
"app_id": "{YOUR_APP_ID}"
},
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpeg",
"allow_duplicate_url": true
},
// Optionally add a concept with your input
"concepts": [
{
"id": "charlie",
"value": 1
}
]
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
},
body: raw
};
fetch("https://api.clarifai.com/v2/inputs", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

Add inputs with custom metadata

In addition to adding an input with concepts, you can also add an input with custom metadata. This metadata will then be searchable. Metadata can be any arbitrary JSON.

If you have more than one item per image it is recommended to put the id in metadata like:

{
"product_id": "xyz"
}
Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
import com.google.protobuf.Struct;
import com.google.protobuf.Value;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
MultiInputResponse postInputsResponse = stub.postInputs(
PostInputsRequest.newBuilder().addInputs(
Input.newBuilder().setData(
Data.newBuilder()
.setImage(
Image.newBuilder()
.setUrl("https://samples.clarifai.com/puppy.jpeg")
.setAllowDuplicateUrl(true)
)
.setMetadata(
Struct.newBuilder()
.putFields("id", Value.newBuilder().setStringValue("id001").build())
.putFields("type", Value.newBuilder().setStringValue("animal").build())
.putFields("size", Value.newBuilder().setNumberValue(100).build())
)
)
).build()
);
if (postInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Post inputs failed, status: " + postInputsResponse.getStatus());
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.PostInputs(
{
inputs: [{data: {
image: {url: "https://samples.clarifai.com/puppy.jpeg", allow_duplicate_url: true},
metadata: {id: "id001", type: "animal", size: 100}
}}]
},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Post inputs failed, status: " + response.status.description);
}
}
);
Python
from google.protobuf.struct_pb2 import Struct
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
input_metadata = Struct()
input_metadata.update({"id": "id001", "type": "animal", "size": 100})
post_inputs_response = stub.PostInputs(
service_pb2.PostInputsRequest(
inputs=[
resources_pb2.Input(
data=resources_pb2.Data(
image=resources_pb2.Image(
url="https://samples.clarifai.com/puppy.jpeg",
allow_duplicate_url=True
),
metadata=input_metadata
)
)
]
),
metadata=metadata
)
if post_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(post_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(post_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(post_inputs_response.outputs[0].status.details))
raise Exception("Post inputs failed, status: " + post_inputs_response.status.description)
cURL
curl -X POST \
-H "Authorization: Key YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '
{
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpeg",
"allow_duplicate_url": true
},
"metadata": {"id": "id001", "type": "animal", "size": 100}
}
}
]
}'\
https://api.clarifai.com/v2/inputs
Javascript (REST)
const raw = JSON.stringify({
"user_app_id": {
"user_id": "{YOUR_USER_ID}",
"app_id": "{YOUR_APP_ID}"
},
"inputs": [
{
"data": {
"image": {
"url": "https://samples.clarifai.com/puppy.jpeg",
"allow_duplicate_url": true
},
"metadata": {"id": "id001", "type": "animal", "size": 100}
}
}
]
});
const requestOptions = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
},
body: raw
};
fetch("https://api.clarifai.com/v2/inputs", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

List inputs

You can list all the inputs (images) you have previously added either for search or train.

If you added inputs with concepts, they will be returned in the response as well.

This request is paginated.

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
MultiInputResponse listInputsResponse = stub.listInputs(
ListInputsRequest.newBuilder()
.setPage(1)
.setPerPage(10)
.build()
);
if (listInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("List inputs failed, status: " + listInputsResponse.getStatus());
}
for (Input input : listInputsResponse.getInputsList()) {
System.out.println(input);
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.ListInputs(
{page: 1, per_page: 10},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("List inputs failed, status: " + response.status.description);
}
for (const input of response.inputs) {
console.log(JSON.stringify(input, null, 2));
}
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
list_inputs_response = stub.ListInputs(
service_pb2.ListInputsRequest(page=1, per_page=10),
metadata=metadata
)
if list_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(list_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(list_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(list_inputs_response.outputs[0].status.details))
raise Exception("List inputs failed, status: " + list_inputs_response.status.description)
for input_object in list_inputs_response.inputs:
print(input_object)
cURL
curl -X GET \
-H "Authorization: Key YOUR_API_KEY" \
https://api.clarifai.com/v2/inputs?page=1&per_page=10
Javascript (REST)
const appId = '{YOUR_APP_ID}'
const requestOptions = {
method: 'GET',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
}
};
fetch(`https://api.clarifai.com/v2/users/me/apps/${appId}/inputs?page=1&per_page=10`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

List inputs (streaming)

Another method for listing inputs which was built to scalably list app's inputs in an iterative / streaming fashion. StreamInputs will return per_page number of inputs from a certain input onward, controlled by the optional last_id parameter (defaults to the first input).

By default, the stream will return inputs from oldest to newest. Set the descending field to true to reverse that order.

Java
NodeJS
Python
Javascript (REST)
Java
import java.util.List;
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
// To start from beginning, do not provide the last ID parameter.
MultiInputResponse firstStreamInputsResponse = stub.streamInputs(
StreamInputsRequest.newBuilder()
.setPerPage(10)
.build()
);
if (firstStreamInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Stream inputs failed, status: " + firstStreamInputsResponse.getStatus());
}
System.out.println("First response (starting from the first input):");
List<Input> inputs = firstStreamInputsResponse.getInputsList();
for (Input input : inputs) {
System.out.println("\t" + input.getId());
}
String lastId = inputs.get(inputs.size() - 1).getId();
// Set last ID to get the next set of inputs. The returned inputs will not include the last ID input.
MultiInputResponse secondStreamInputsResponse = stub.streamInputs(
StreamInputsRequest.newBuilder()
.setLastId(lastId)
.setPerPage(10)
.build()
);
if (secondStreamInputsResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Stream inputs failed, status: " + secondStreamInputsResponse.getStatus());
}
System.out.println(String.format("Second response (first input is the one following input ID %s)", lastId));
for (Input input : secondStreamInputsResponse.getInputsList()) {
System.out.println("\t" + input.getId());
}
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.StreamInputs(
{
per_page: 10
},
metadata,
(err, firstResponse) => {
if (err) {
done(err);
return;
}
if (firstResponse.status.code !== 10000) {
done(new Error("Received status: " + firstResponse.status.description + "\n" + firstResponse.status.details));
return;
}
console.log("First response (starting from the first input):");
for (const input of firstResponse.inputs) {
console.log("\t" + input.id);
}
const lastId = firstResponse.inputs[firstResponse.inputs.length - 1].id;
stub.StreamInputs(
{
last_id: lastId,
per_page: 10
},
metadata,
(err, secondResponse) => {
if (err) {
done(err);
return;
}
if (secondResponse.status.code !== 10000) {
done(new Error("Received status: " + secondResponse.status.description + "\n" + secondResponse.status.details));
return;
}
console.log("Second response (first input is the one following input ID " + lastId + ")");
for (const input of secondResponse.inputs) {
console.log("\t" + input.id);
}
done();
}
);
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
# To start from beginning, do not provide the last_id parameter.
stream_inputs_response = stub.StreamInputs(
service_pb2.StreamInputsRequest(per_page=10),
metadata=metadata
)
if stream_inputs_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(stream_inputs_response.outputs[0].status.code))
print("\tDescription: {}".format(stream_inputs_response.outputs[0].status.description))
print("\tDetails: {}".format(stream_inputs_response.outputs[0].status.details))
raise Exception("Stream inputs failed, status: " + stream_inputs_response.status.description)
print("First response (starting from the first input):")
for input_object in stream_inputs_response.inputs:
print("\t" + input_object.id)
last_id = stream_inputs_response.inputs[-1].id
# Set last_id to get the next set of inputs. The returned inputs will not include the last_id input.
stream_inputs_response = stub.StreamInputs(
service_pb2.StreamInputsRequest(per_page=10, last_id=last_id),
metadata=metadata
)
print(f"Second response (first input is the one following input ID {last_id}):")
for input_object in stream_inputs_response.inputs:
print("\t" + input_object.id)
Javascript (REST)
// We can implement the API call with a Promise
const streamInputs = (reqAddress) => {
return new Promise(async (resolve, reject) => {
fetch(reqAddress, requestOptions)
.then(data => {
return data.json()
}).then(data => {
resolve(data)
}).catch(e => {
console.error('REQUEST -> ', e)
reject(e)
})
})
}
// Async function that will allow us to wait for the first API call
const run = async () => {
const appId = '{YOUR_APP_ID}'
const requestOptions = {
method: 'GET',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
}
};
const REQ_ADDRESS = `https://api.clarifai.com/v2/users/me/apps/${appId}/inputs/stream?per_page=5`
const req1 = await streamInputs(REQ_ADDRESS)
// Grab the last input_id from the first request to use it in the second request
const lastId = req1['inputs'][req1['inputs'].length - 1].id
const req2 = await streamInputs(REQ_ADDRESS + `&last_id=${lastId}`)
// You're only receiving the inputs from up to the last_id onward
console.log(req2)
}
run()

Get input by id

If you'd like to get a specific input by id, you can do that as well.

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
SingleInputResponse getInputResponse = stub.getInput(
GetInputRequest.newBuilder()
.setInputId("{YOUR_INPUT_ID}")
.build()
);
if (getInputResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Get input failed, status: " + getInputResponse.getStatus());
}
Input input = getInputResponse.getInput();
System.out.println(input);
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.GetInput(
{input_id: "{YOUR_INPUT_ID}"},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Get input failed, status: " + response.status.description);
}
const input = response.input;
console.log(JSON.stringify(input, null, 2));
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
get_input_response = stub.GetInput(
service_pb2.GetInputRequest(input_id="{YOUR_INPUT_ID}"),
metadata=metadata
)
if get_input_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(get_input_response.outputs[0].status.code))
print("\tDescription: {}".format(get_input_response.outputs[0].status.description))
print("\tDetails: {}".format(get_input_response.outputs[0].status.details))
raise Exception("Get input failed, status: " + get_input_response.status.description)
input_object = get_input_response.input
print(input_object)
cURL
curl -X GET \
-H "Authorization: Key YOUR_API_KEY" \
https://api.clarifai.com/v2/inputs/{YOUR_INPUT_ID}
Javascript (REST)
const inputId = '{YOUR_INPUT_ID}'
const appId = '{YOUR_APP_ID}'
const requestOptions = {
method: 'GET',
headers: {
'Accept': 'application/json',
'Authorization': 'Key {YOUR_PERSONAL_TOKEN}'
}
};
fetch(`https://api.clarifai.com/v2/users/me/apps/${appId}/inputs/${inputId}`, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));

Get inputs status

If you add inputs in bulk, they will process in the background. You can get the status of all your inputs (processed, to_process and errors) like this:

Java
NodeJS
Python
cURL
Javascript (REST)
Java
import com.clarifai.grpc.api.*;
import com.clarifai.grpc.api.status.*;
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
SingleInputCountResponse getInputCountResponse = stub.getInputCount(
GetInputCountRequest.newBuilder().build()
);
if (getInputCountResponse.getStatus().getCode() != StatusCode.SUCCESS) {
throw new RuntimeException("Get input count failed, status: " + getInputCountResponse.getStatus());
}
InputCount inputCount = getInputCountResponse.getCounts();
System.out.println(inputCount);
NodeJS
// Insert here the initialization code as outlined on this page:
// https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
stub.GetInputCount(
{},
metadata,
(err, response) => {
if (err) {
throw new Error(err);
}
if (response.status.code !== 10000) {
throw new Error("Get input count failed, status: " + response.status.description);
}
const counts = response.counts;
console.log(JSON.stringify(counts, null, 2));
}
);
Python
# Insert here the initialization code as outlined on this page:
# https://docs.clarifai.com/api-guide/api-overview/api-clients#client-installation-instructions
get_input_count_response = stub.GetInputCount(
service_pb2.GetInputCountRequest(),
metadata=metadata
)
if get_input_count_response.status.code != status_code_pb2.SUCCESS:
print("There was an error with your request!")
print("\tCode: {}".format(get_input_count_response.outputs[0].status.code))
print("\tDescription: {}".format(get_input_count_response.outputs[0].status.description))
print("\tDetails: {}".format(get_input_count_response.outputs[0].status.details))
raise Exception("Get input count failed, status: " + get_input_count_response.status.description)
counts = get_input_count_response.counts
print(counts)
cURL
curl -X GET \
-H "Authorizatio