labelbox 3.57.0

Labelbox Python API

Labelbox Python SDK

Labelbox is the enterprise-grade training data solution with fast AI enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration & SDK for extensibility. Visit Labelbox for more information.

The Labelbox Python API offers a simple, user-friendly way to interact with the Labelbox back-end.

Table of Contents

• Labelbox Python SDK
  • Table of Contents
  • Requirements
  • Installation
    • Note for Windows users
  • Documentation
  • Authentication
  • Contribution
  • Testing

Requirements

• Use Python 3.7, 3.8, 3.9 and 3.10
• Create an account
• Generate an API key

Installation

Prerequisite: Install pip

pip is a package manager for Python. On macOS, you can set it up to use the default python3 install via -

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python3 get-pip.py

If the installation completes with a warning re: pip not being in your path, you'll need to add it by modifying your shell config (.zshrc, .bashrc or similar). You might have to modify the command below depending on the version of python3 on your machine.

export PATH=/Users/<your-macOS-username>/Library/Python/3.8/bin:$PATH

Install SDK locally, using Python's Pip manager

pip3 install -e .

Install dependencies

pip3 install -r requirements.txt

To install dependencies required for data processing modules use:

pip install "labelbox[data]"

Documentation

• Visit our docs to learn how the SDK works
• Checkout our notebook examples to follow along with interactive tutorials
• view our API reference.

Authentication

Labelbox uses API keys to validate requests. You can create and manage API keys on Labelbox. Pass your API key as an environment variable. Then, import and initialize the API Client.

user@machine:~$ export LABELBOX_API_KEY="<your local api key here>"
user@machine:~$ python3

from labelbox import Client
client = Client()

• Update api_key and endpoint if not using the production cloud deployment

# On prem
client = Client( endpoint = "<local deployment>")

# Local
client = Client(api_key=os.environ['LABELBOX_TEST_API_KEY_LOCAL'], endpoint="http://localhost:8080/graphql")

# Staging
client = Client(api_key=os.environ['LABELBOX_TEST_API_KEY_LOCAL'], endpoint="https://api.lb-stage.xyz/graphql")

Contribution

Please consult CONTRIB.md

Testing

1. Update the Makefile with your local, staging, prod API key. Ensure that docker has been installed on your system. Make sure the key is not from a free tier account.
2. To test on local:

user@machine:~$ export LABELBOX_TEST_API_KEY_LOCAL="<your local api key here>"
make test-local  # with an optional flag: PATH_TO_TEST=tests/integration/...etc LABELBOX_TEST_API_KEY_LOCAL=specify_here_or_export_me

3. To test on staging:

user@machine:~$ export LABELBOX_TEST_API_KEY_STAGING="<your staging api key here>"
make test-staging # with an optional flag: PATH_TO_TEST=tests/integration/...etc LABELBOX_TEST_API_KEY_STAGING=specify_here_or_export_me

4. To test on prod:

user@machine:~$ export LABELBOX_TEST_API_KEY_PROD="<your prod api key here>"
make test-prod # with an optional flag: PATH_TO_TEST=tests/integration/...etc LABELBOX_TEST_API_KEY_PROD=specify_here_or_export_me

5. If you make any changes and need to rebuild the image used for testing, force a rebuild with the -B flag

make -B {build|test-staging|test-prod}

6. Testing against Delegated Access will be skipped unless the local env contains the key: DA_GCP_LABELBOX_API_KEY. These tests will be included when run against a PR. If you would like to test it manually, please reach out to the Devops team for information on the key.