firestart-utils 0.2.3

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Install

For Microsoft Fabric usage add it to your environments Public Libraries

firestart-utils

Local install:

pip install firestart-utils

Examples:

LOGGING

Import the logger in a notebook

from firestart_utils.logger import get_logger

Import lake house logger in a notebook

from firestart_utils.logger import get_lakehouse_logger

Create a logger object or lake house logger object

!IMPORTANT logging towards datadog is only available when log_level_threshold is met

logger = get_logger("{DATADOG_API_KEY}", "{CUSTOMER}", "{ENVIROMENT}", "{WORKSPACE_NAME}", "{LOG_LEVEL_TRESHOLD}")

lakehouse_logger = get_lakehouse_logger("ENV", "location")

Default logging

logger.info("Hello World")
logger.debug("Hello World")
logger.warning("Hello World")
logger.error("Hello World")
logger.critical("Hello World")

Logging pipeline metrics DataDog

logger.failed()
logger.success()

UTILS

Utils library has functions which uses the notebook utils library of Microsoft Fabric.

Import the utils in a notebook

from firestart_utils.utils import get_lakehouse, get_dump, get_secret_from_keyvault, get_runtime

Example:

Get the lakehouse object by name for accessing the lakehouse details like uid or abfsPath

get_lakehouse.by_name("lakehouse_name")

Get runtime object for accessing the current workspace/notebook id or name

get_runtime().current_workspace_id()
get_runtime().current_workspace_name()
get_runtime().current_notebook_name()
get_runtime().current_notebook_id()

Get dump of an atrribute of a object

get_dump.by_name(Object)

get secret from keyvault

get_secret_from_keyvault("keyvault_name", "secret_name")