mlplatformutils 0.4

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mlplatformutils

mlplatformutils for observability

Structure

. |-- LICENSE.txt |-- README.rst |-- setup.cfg |-- setup.py |-- src | |-- mlplatformutils | | |-- init.py | | |-- core | | |-- |-- init.py | | |-- |-- sparkutils.py | | |-- |-- platformutils.py | | |-- |-- pandasutils.py | | |-- |-- lineagegraph.py | | |-- |-- app_insights_logger.py |-- tests | |-- init.py | |-- core | |-- |--init.py | |-- |-- sparkutils.py | |-- |-- platformutils.py | |-- |-- pandasutils.py | |-- |-- lineagegraph.py | |-- |-- app_insights_logger.py

Instructions

install twine - twine is a utility package that is used for publishing Python packages on PyPI python -m pip install twine Build Package - create the source distribution of the package python setup.py sdist Upload Package to PyPI python -m twine upload dist/*

Description

app_insights_logger - Constains telemetrylogger Class with Functions to Manage and Log Telemetry into Azure Application Insights lineagegraph - Contains LineageGraph Class with functions to manage Graph on Azure Cosmos DB enabled with Gremlin

platformutils - Contains platform utility functions to check, install depedencies, check Azure ML Compute

• is_package_installed
• install_pip
• get_environment
• set_environment
• assert_amlcompute
• read_setup_ini

sparkutils - Contains functions to read data from sources such as (Azure Data Lake Gen2, Azure Data Explorer (Kusto), Azure Sql Server) and write (Azure Data Lake Gen2)while ensuring integrated Lineage Graph Logging.

• read_from_adls_gen2
• write_to_adls_gen2
• read_from_kusto
• read_from_azsql

pandasutils - Contains functions to read data from Azure Data Lake Gen2 (from Delta Format or Parquet Format) into Pandas Dataframe without Spark while ensuring integrated Lineage Graph Logging.

• read_from_delta_as_pandas
• read_from_parquet_as_pandas