spicepy

Spice.ai client library for Python.

Installation

pip install git+https://github.com/spiceai/[email protected]

Usage

Arrow Query with local spice runtime

Follow the quickstart guide to install and run spice locally

from spicepy import Client

client = Client()
data = client.query('SELECT trip_distance, total_amount FROM taxi_trips ORDER BY trip_distance DESC LIMIT 10;', timeout=5*60)
pd = data.read_pandas()

Arrow Query with spice.ai cloud

SQL Query

from spicepy import Client

client = Client(
      api_key='API_KEY',
      flight_url="grpc+tls://flight.spiceai.io"
)
data = client.query('SELECT * FROM eth.recent_blocks LIMIT 10;', timeout=5*60)
pd = data.read_pandas()

Firecache Query (Available if firecache is enabled)

from spicepy import Client

client = Client(
      api_key='API_KEY',
      flight_url="grpc+tls://flight.spiceai.io"
)
data = client.fire_query('SELECT * FROM eth.recent_blocks LIMIT 10;', timeout=5*60)
pd = data.read_pandas()

Querying data is done through a Client object that initialize the connection with Spice endpoint. Client has the following arguments:

• api_key (string, required): API key to authenticate with the endpoint.
• url (string, optional): URL of the endpoint to use (default: grpc+tls://flight.spiceai.io; firecache: grpc+tls://firecache.spiceai.io)
• tls_root_cert (Path or string, optional): Path to the tls certificate to use for the secure connection (omit for automatic detection)

Once a Client is obtained queries can be made using the query() function. The query() function has the following arguments:

• query (string, required): The SQL query.
• timeout (int, optional): The timeout in seconds.

A custom timeout can be set by passing the timeout parameter in the query function call. If no timeout is specified, it will default to a 10 min timeout then cancel the query, and a TimeoutError exception will be raised.

Documentation

Check out our Documentation to learn more about how to use the Python SDK.