0.0.60

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "python_tabular"
-version = "0.0.50"
+version = "0.0.60"
 authors = [
   { name="Curtis Stallings", email="curtisrstallings@gmail.com" },
 ]

pytabular/__init__.py

@@ -1,24 +1,30 @@
 import logging
 logging.basicConfig(level=logging.DEBUG,format='%(asctime)s :: %(module)s :: %(levelname)s :: %(message)s')
-logging.debug('Logging configured...')
+logger = logging.getLogger('PyTabular')
+logger.setLevel(logging.DEBUG)
+logger.debug('Logging configured...')
+logger.debug(f'To update PyTabular logger...')
+logger.debug(f'>>> import logging')
+logger.debug(f'>>> pytabular.logger.setLevel(level=logging.INFO)')
+logger.debug(f'Visit https://docs.python.org/3/library/logging.html#logging-levels for info...')
 
-logging.debug(f'Setting up file paths for {__file__}')
+logger.debug(f'Setting up file paths for {__file__}')
 import os
 import sys
 dll = os.path.join(os.path.dirname(__file__),"dll")
 sys.path.append(dll)
 sys.path.append(os.path.dirname(__file__))
 
-logging.debug(f'Beginning CLR references...')
+logger.debug(f'Beginning CLR references...')
 import clr
-logging.debug('Adding Reference Microsoft.AnalysisServices.AdomdClient')
+logger.debug('Adding Reference Microsoft.AnalysisServices.AdomdClient')
 clr.AddReference('Microsoft.AnalysisServices.AdomdClient')
-logging.debug('Adding Reference Microsoft.AnalysisServices.Tabular')
+logger.debug('Adding Reference Microsoft.AnalysisServices.Tabular')
 clr.AddReference('Microsoft.AnalysisServices.Tabular')
-logging.debug('Adding Reference Microsoft.AnalysisServices')
+logger.debug('Adding Reference Microsoft.AnalysisServices')
 clr.AddReference('Microsoft.AnalysisServices')
 
-logging.debug(f"Importing from the rest...")
+logger.debug(f"Importing specifics in module...")
 from . pytabular import Tabular
 from . basic_checks import Return_Zero_Row_Tables, Table_Last_Refresh_Times, BPA_Violations_To_DF
 from . logic_utils import pd_dataframe_to_m_expression, pandas_datatype_to_tabular_datatype

pytabular/basic_checks.py

@@ -1,4 +1,5 @@
 import logging
+logger = logging.getLogger('PyTabular')
 from typing import List
 import pytabular
 from logic_utils import ticks_to_datetime
@@ -14,7 +15,7 @@ def Return_Zero_Row_Tables(model:pytabular.Tabular) -> List[str]:
 	Returns:
 		List[str]: List of table names where DAX COUNTROWS('Table Name') is nan or 0.
 	'''	
-	logging.info(f'Executing Basic Function {sys._getframe(0).f_code.co_name}')
+	logger.info(f'Executing Basic Function {sys._getframe(0).f_code.co_name}')
 	query_function: str = 'COUNTROWS(_)'
 	df: pd.DataFrame = model.Query_Every_Table(query_function)
 	return df[df[f'[{query_function}]'].isna()]['[Table]'].to_list()
@@ -33,18 +34,18 @@ def Table_Last_Refresh_Times(model:pytabular.Tabular, group_partition:bool = Tru
 		pd.DataFrame: pd dataframe with the RefreshedTime property: https://docs.microsoft.com/en-us/dotnet/api/microsoft.analysisservices.tabular.partition.refreshedtime?view=analysisservices-dotnet#microsoft-analysisservices-tabular-partition-refreshedtime
 		If group_partition == True and the table has multiple partitions, then df.groupby(by["tables"]).max()
 	'''	
-	logging.info(f'Executing Basic Function {sys._getframe(0).f_code.co_name}')
+	logger.info(f'Executing Basic Function {sys._getframe(0).f_code.co_name}')
 	data = {\
 		"Tables":[partition.Table.Name for partition in model.Partitions],\
 		"Partitions":[partition.Name for partition in model.Partitions],\
 		"RefreshedTime":[ticks_to_datetime(partition.RefreshedTime.Ticks).strftime('%Y-%m-%dT%H:%M:%S.%fZ')[:-3] for partition in model.Partitions]\
 	}
 	df = pd.DataFrame(data)
 	if group_partition:
-		logging.debug('Grouping together to grain of Table')
+		logger.debug('Grouping together to grain of Table')
 		return df[["Tables","RefreshedTime"]].groupby(by=["Tables"]).max().reset_index(drop=False)
 	else:
-		logging.debug('Returning DF')
+		logger.debug('Returning DF')
 		return df
 
 def BPA_Violations_To_DF(model:pytabular.Tabular,te2:str, bpa:str) -> pd.DataFrame:

pytabular/best_practice_analyzer.py

@@ -1,4 +1,5 @@
 import logging
+logger = logging.getLogger('PyTabular')
 import requests as r
 import atexit
 import json
@@ -18,7 +19,7 @@ def Download_BPA_File(Download_Location:str = 'https://raw.githubusercontent.com
 	Returns:
 		str: File Path for the newly downloaded BPA.
 	'''
-	logging.info(f'Downloading BPA from {Download_Location}')
+	logger.info(f'Downloading BPA from {Download_Location}')
 	folder_location = os.path.join(os.getcwd(),Folder)
 	if os.path.exists(folder_location) == False:
 		os.makedirs(folder_location)
@@ -27,15 +28,15 @@ def Download_BPA_File(Download_Location:str = 'https://raw.githubusercontent.com
 	with open(file_location, 'w', encoding='utf-8') as bpa:
 		json.dump(response.json(), bpa, ensure_ascii=False, indent= 4)
 	if Auto_Remove:
-		logging.debug(f'Registering removal on termination... For {folder_location}')
+		logger.debug(f'Registering removal on termination... For {folder_location}')
 		atexit.register(remove_folder_and_contents, folder_location)
 	return file_location
 
 class BPA:
 	'''Setting BPA Class for future work...
 	'''	
 	def __init__(self, File_Path:str = 'Default') -> None:
-		logging.debug(f'Initializing BPA Class:: {File_Path}')
+		logger.debug(f'Initializing BPA Class:: {File_Path}')
 		if File_Path == 'Default':
 			self.Location: str = Download_BPA_File()
 		else:

pytabular/logic_utils.py

@@ -1,4 +1,5 @@
 import logging
+logger = logging.getLogger('PyTabular')
 import datetime
 import os
 from typing import Dict, List
@@ -28,7 +29,7 @@ def pandas_datatype_to_tabular_datatype(df:pd.DataFrame)-> Dict:
 	Returns:
 		Dict: EX {'col1': <Microsoft.AnalysisServices.Tabular.DataType object at 0x0000023BFFBC9700>, 'col2': <Microsoft.AnalysisServices.Tabular.DataType object at 0x0000023BFFBC8840>, 'col3': <Microsoft.AnalysisServices.Tabular.DataType object at 0x0000023BFFBC9800>}
 	'''
-	logging.info(f'Getting DF Column Dtypes to Tabular Dtypes...')
+	logger.info(f'Getting DF Column Dtypes to Tabular Dtypes...')
 	tabular_datatype_mapping_key = {
 		'b':DataType.Boolean,
 		'i':DataType.Int64,
@@ -107,10 +108,10 @@ def m_list_expression_generator(list_of_strings:List[str]) -> str:
 		'''
 		string_components = ','.join([f'\"{string_value}\"' for string_value in list_of_strings])
 		return f'\u007b{string_components}\u007d'
-	logging.debug(f'Executing m_list_generator()... for {df.columns}')
+	logger.debug(f'Executing m_list_generator()... for {df.columns}')
 	columns = m_list_expression_generator(df.columns)
 	expression_str = f"let\nSource=#table({columns},\n"
-	logging.debug(f'Iterating through rows to build expression... df has {len(df)} rows...')
+	logger.debug(f'Iterating through rows to build expression... df has {len(df)} rows...')
 	expression_list_rows = []
 	for index, row in df.iterrows():
 		expression_list_rows += [m_list_expression_generator(row.to_list())]
@@ -125,5 +126,5 @@ def remove_folder_and_contents(folder_location):
 	'''
 	import shutil
 	if os.path.exists(folder_location):
-		logging.info(f'Removing Dir and Contents -> {folder_location}')
+		logger.info(f'Removing Dir and Contents -> {folder_location}')
 		shutil.rmtree(folder_location)