mlplatformutils 0.9.1.4

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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 - Contains 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_parquet_file_from_adlsgen2_as_pandas
• read_parquet_directory_from_adlsgen2_as_pandas
• write_pandas_as_parquet_file_to_adlsgen2

Examples

from mlplatformutils.core.platformutils import is_package_installed
print(is_package_installed("pandas"))
from mlplatformutils.core.app_insights_logger import telemetrylogger
from mlplatformutils.core.lineagegraph import LineageGraph
from mlplatformutils.core.sparkutils import write_to_adls_gen2, read_from_adls_gen2
import mlplatformutils.core.platformutils as mlpu
mlpu.version

Notes

When Running this Lineage Package from Jupyter Nootebook, the below 3 Lines Help overcome JupyterNotebook RuntimeError: Cannot run the event loop while another loop is running
import asyncio
import nest_asyncio
nest_asyncio.apply()