setup_environment

sqllocks_spindle.fabric.setup_environment

Fabric environment setup — standalone script for notebook-based provisioning.

This module can be: 1. Imported and called from Python code 2. Copy-pasted into a Fabric notebook cell for self-service setup 3. Called from the spindle setup-fabric CLI command

It creates a Fabric Environment item with Spindle + dependencies pre-installed.

Functions:

get_environment_library_spec()

Return the Fabric Environment library specification for Spindle.

This dict can be used with the Fabric REST API to create or update a Fabric Environment item's library configuration.

get_spark_pool_config()

Return recommended Spark pool configuration for Spindle workloads.

Spindle is CPU-bound (numpy vectorized ops) and memory-light. A small pool with medium nodes is optimal.

print_setup_snippet()

Print the copy-paste setup snippet for Fabric notebooks.

create_spindle_environment(workspace_id, environment_name='Spindle-v2')

Create a Fabric Environment with Spindle pre-installed.

Uses the Fabric REST API to create an Environment item and configure it with sqllocks-spindle and dependencies. Requires an authenticated session (az login or mssparkutils token).

Parameters:

Name	Type	Description	Default
workspace_id	str	Fabric workspace GUID.	required
environment_name	str	Name for the Environment item.	'Spindle-v2'

Returns:

Type	Description
dict	Dict with environment_id and status.