Add test_dicom.py to integration test metadata extract UDF

[dmoore247]

Is your feature request related to a problem? Please describe.
Add unit test to validate the dicom metadata extraction udf.

Describe the solution you'd like
The real challenge will be to add all the python artifacts necessary to run via db-connect v2.
This is the test_dicom.py that was started and needs to be abandoned...

import pytest
from databricks.connect import DatabricksSession
from pyspark.sql import SparkSession

from dbx.pixels import Catalog
from dbx.pixels.dicom import DicomMetaExtractor, DicomThumbnailExtractor # The Dicom transformers

from dbx.pixels.version import __version__

path  = "s3://hls-eng-data-public/dicom/ddsm/benigns/patient0007/"
table = "main.pixels_solacc.object_catalog"

@pytest.fixture
def spark() -> SparkSession:
    """
    Create a SparkSession (the entry point to Spark functionality) on
    the cluster in the remote Databricks workspace. Unit tests do not
    have access to this SparkSession by default.
    """
    return DatabricksSession.builder.getOrCreate()

def test_dicom_happy(spark):
    import datetime
    catalog = Catalog(spark, table=table)
    catalog_df = catalog.catalog(path=path)
    meta_df = DicomMetaExtractor(catalog).transform(catalog_df)
    assert meta_df.count() == 4
    assert len(meta_df.columns) == 9
    assert meta_df.explain(extended=True) == None
    row = meta_df.selectExpr("left(meta,500)").collect()[0]

Describe alternatives you've considered
The automated notebook execution jobs do cover these code paths at a higher level.

Additional context
See internal slack conversations

[dmoore247]

Fundamentally, db-connect needs to ship dependencies (as an archive) to the cluster with .addArtifact()