rabbit-bq-job-optimizer 0.1.15

Python client for Rabbit BigQuery Job Optimizer API

Rabbit BigQuery Job Optimizer Python Client

This is the official Python client library for the Rabbit BigQuery Job Optimizer API.

Installation

pip install rabbit-bq-job-optimizer

Usage

from rabbit_bq_job_optimizer import RabbitBQJobOptimizer, OptimizationConfig

# Initialize the client
client = RabbitBQJobOptimizer(
    api_key="your-api-key"
    # base_url is optional - will use production endpoint by default
    # timeout is optional - defaults to 5 seconds
)

# Optimize a BigQuery job configuration
job_config = {
    "configuration": {
        "query": {
            "query": "SELECT * FROM my_table",
            "useLegacySql": False,
            "priority": "INTERACTIVE"
        }
    }
}

optimization_config = OptimizationConfig(
    type="reservation_assignment",
    config={
        "defaultPricingMode": "on_demand",
        "reservationIds": [
            "my-project:US.my-reservation-us",
            "my-project:EU.my-reservation-eu"
        ]
    }
)

# Optimize the job
result = client.optimize_job(
    configuration=job_config,
    enabledOptimizations=[optimization_config]
)

# Access the optimized configuration
optimized_config = result.optimizedJob

# Access optimization results
for optimization in result.optimizationResults:
    print(f"Type: {optimization.type}")
    print(f"Applied: {optimization.performed}")
    print(f"Estimated Savings: {optimization.estimatedSavings}")

Error Handling

The client raises exceptions for API errors:

from rabbit_bq_job_optimizer import RabbitBQJobOptimizerError

try:
    result = client.optimize_job(job_config)
except RabbitBQJobOptimizerError as e:
    print(f"Error: {e.message}")
    print(f"Status Code: {e.status_code}")

Configuration

Authentication

The API key is required to use the client. It can be obtained from the Rabbit team by contacting [e-mail]. The base URL is optional and defaults to the production endpoint.

There are three ways to configure authentication:

1. Pass API key directly to the constructor (uses default production endpoint):

from rabbit_bq_job_optimizer import RabbitBQJobOptimizer

client = RabbitBQJobOptimizer(
    api_key="your-api-key"
)

2. Pass both API key and custom base URL:

from rabbit_bq_job_optimizer import RabbitBQJobOptimizer

client = RabbitBQJobOptimizer(
    api_key="your-api-key",
    base_url="https://your-custom-endpoint.com"
)

3. Set environment variables:

export RABBIT_API_KEY="your-api-key"
export RABBIT_API_BASE_URL="your-base-url"  # Optional - will use default if not set

Then initialize the client without parameters:

from rabbit_bq_job_optimizer import RabbitBQJobOptimizer

client = RabbitBQJobOptimizer()  # Will automatically use environment variables

The environment variables are:

• RABBIT_API_KEY: Your Rabbit API key (required)
• RABBIT_API_BASE_URL: The base URL for the Rabbit API (optional, defaults to production endpoint)

Request Timeout

The client includes a configurable request timeout to prevent indefinite hangs. By default, requests will timeout after 5 seconds.

You can customize the timeout when initializing the client:

from rabbit_bq_job_optimizer import RabbitBQJobOptimizer

# Use default 5 second timeout
client = RabbitBQJobOptimizer(api_key="your-api-key")

# Use custom timeout (in seconds)
client = RabbitBQJobOptimizer(
    api_key="your-api-key",
    timeout=30  # 30 seconds
)

If the API doesn't respond within the specified timeout, a RabbitBQJobOptimizerError will be raised.

Development

To install the package in development mode:

pip install -e .

License

Apache License 2.0