versioning

sempy_labs/CreatePQTFile.py

@@ -5,15 +5,15 @@
 import xml.etree.ElementTree as ET
 from .ListFunctions import list_tables
 from .Lakehouse import lakehouse_attached
-from sempy._utils._log import log
+
 from typing import List, Optional, Union
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def create_pqt_file(dataset: str, workspace: Optional[str] = None, file_name: Optional[str] = None):
 
     """

sempy_labs/DirectLakeSchemaSync.py

@@ -4,9 +4,9 @@
 from .GetLakehouseColumns import get_lakehouse_columns
 from .HelperFunctions import format_dax_object_name, resolve_lakehouse_name, get_direct_lake_sql_endpoint
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def direct_lake_schema_sync(dataset: str, workspace: Optional[str] = None, add_to_model: Optional[bool] = False, lakehouse: Optional[str] = None, lakehouse_workspace: Optional[str] = None):
 
     """

sempy_labs/ListDirectLakeModelCalcTables.py

@@ -3,9 +3,9 @@
 import pandas as pd
 from .ListFunctions import list_tables, list_annotations
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def list_direct_lake_model_calc_tables(dataset: str, workspace: Optional[str] = None):
 
     """

sempy_labs/LogAnalytics.py

@@ -3,9 +3,9 @@
 import pandas as pd
 from .HelperFunctions import resolve_dataset_id
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def run_dax(dataset: str, dax_query: str, user_name: Optional[str] = None, workspace: Optional[str] = None):
 
     """

sempy_labs/MeasureDependencyTree.py

@@ -3,9 +3,9 @@
 from anytree import Node, RenderTree
 from .GetMeasureDependencies import get_measure_dependencies
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def measure_dependency_tree(dataset: str, measure_name: str, workspace: Optional[str] = None):
 
     """

sempy_labs/MigrateCalcTablesToLakehouse.py

@@ -7,14 +7,14 @@
 from .TOM import connect_semantic_model
 from pyspark.sql import SparkSession
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def migrate_calc_tables_to_lakehouse(dataset: str, new_dataset: str, workspace: Optional[str] = None, new_dataset_workspace: Optional[str] = None, lakehouse: Optional[str] = None, lakehouse_workspace: Optional[str] = None):
 
     """
@@ -178,7 +178,7 @@ def migrate_calc_tables_to_lakehouse(dataset: str, new_dataset: str, workspace:
                 break
             time.sleep(1)
 
-@log
+
 def migrate_field_parameters(dataset: str, new_dataset: str, workspace: Optional[str] = None, new_dataset_workspace: Optional[str] = None):
 
     """

sempy_labs/MigrateCalcTablesToSemanticModel.py

@@ -5,14 +5,14 @@
 from .HelperFunctions import resolve_lakehouse_name
 from .TOM import connect_semantic_model
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def migrate_calc_tables_to_semantic_model(dataset: str, new_dataset: str, workspace: Optional[str] = None, new_dataset_workspace: Optional[str] = None, lakehouse: Optional[str] = None, lakehouse_workspace: Optional[str] = None ):
 
     """

sempy_labs/MigrateModelObjectsToSemanticModel.py

@@ -5,14 +5,14 @@
 from .HelperFunctions import create_relationship_name
 from .TOM import connect_semantic_model
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def migrate_model_objects_to_semantic_model(dataset: str, new_dataset: str, workspace: Optional[str] = None, new_dataset_workspace: Optional[str] = None):
 
     """

sempy_labs/MigrateTablesColumnsToSemanticModel.py

@@ -8,14 +8,14 @@
 from .Lakehouse import lakehouse_attached
 from .TOM import connect_semantic_model
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def migrate_tables_columns_to_semantic_model(dataset: str, new_dataset: str, workspace: Optional[str] = None, new_dataset_workspace: Optional[str] = None, lakehouse: Optional[str] = None, lakehouse_workspace: Optional[str] = None):
 
     """

sempy_labs/MigrationValidation.py

@@ -4,7 +4,7 @@
 from .HelperFunctions import create_relationship_name
 from .TOM import connect_semantic_model
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 def list_semantic_model_objects(dataset: str, workspace: Optional[str] = None):
 
@@ -84,7 +84,7 @@ def list_semantic_model_objects(dataset: str, workspace: Optional[str] = None):
 
     return df
 
-@log
+
 def migration_validation(dataset: str, new_dataset: str, workspace: Optional[str] = None, new_dataset_workspace: Optional[str] = None):
 
     """

sempy_labs/ModelAutoBuild.py

@@ -5,9 +5,9 @@
 from .CreateBlankSemanticModel import create_blank_semantic_model
 from .GetSharedExpression import get_shared_expression
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def model_auto_build(dataset: str, file_path: str, workspace: Optional[str] = None, lakehouse: Optional[str] = None, lakehouse_workspace: Optional[str] = None):
 
     """

sempy_labs/ModelBPA.py

@@ -10,7 +10,7 @@
 from .Lakehouse import lakehouse_attached
 from .GetLakehouseTables import get_lakehouse_tables
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 def model_bpa_rules():
 
@@ -306,7 +306,7 @@ def model_bpa_rules():
 
   return df_rules
 
-@log
+
 def run_model_bpa(dataset: str, rules_dataframe: Optional[pd.DataFrame] = None, workspace: Optional[str] = None, export: Optional[bool] = False, return_dataframe: Optional[bool] = False, **kwargs):
 
     """

sempy_labs/OneLakeIntegration.py

@@ -2,9 +2,9 @@
 import sempy.fabric as fabric
 import pandas as pd
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def export_model_to_onelake(dataset: str, workspace: Optional[str] = None, destination_lakehouse: Optional[str] = None, destination_workspace: Optional[str] = None):
 
     """

sempy_labs/RefreshCalcTables.py

@@ -5,14 +5,14 @@
 from pyspark.sql import SparkSession
 from .TOM import connect_semantic_model
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def refresh_calc_tables(dataset: str, workspace: Optional[str] = None):
 
     """

sempy_labs/RefreshSemanticModel.py

@@ -3,14 +3,14 @@
 import time
 from .HelperFunctions import resolve_dataset_id
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def refresh_semantic_model(dataset: str, tables: Optional[Union[str, List[str]]] = None, partitions: Optional[Union[str, List[str]]] = None, refresh_type: Optional[str] = None, retry_count: Optional[int] = 0, apply_refresh_policy: Optional[bool] = True, workspace: Optional[str] = None):
 
     """
@@ -99,7 +99,7 @@ def extract_names(partition):
 
     print(f"{green_dot} Refresh of the '{dataset}' semantic model within the '{workspace}' workspace is complete.")
 
-@log
+
 def cancel_dataset_refresh(dataset: str, request_id: Optional[str] = None, workspace: Optional[str] = None):
 
     """

sempy_labs/ReportFunctions.py

@@ -12,7 +12,7 @@
 from .Lakehouse import lakehouse_attached
 from .HelperFunctions import generate_embedded_filter, resolve_dataset_name, resolve_report_id, resolve_lakehouse_name
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
@@ -136,7 +136,7 @@ def report_dependency_tree(workspace: Optional[str] = None):
     for pre, _, node in RenderTree(node_dict[workspace]):
         print(f"{pre}{node.custom_property}'{node.name}'")
 
-@log
+
 def export_report(report: str, export_format: str, file_name: Optional[str] = None, bookmark_name: Optional[str] = None, page_name: Optional[str] = None, visual_name: Optional[str] = None, report_filter: Optional[str] = None, workspace: Optional[str] = None):
 
     """

sempy_labs/ReportRebind.py

@@ -2,14 +2,14 @@
 import sempy.fabric as fabric
 from .HelperFunctions import resolve_dataset_id, resolve_report_id
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def report_rebind(report: str, dataset: str, report_workspace: Optional[str] = None, dataset_workspace: Optional[str] = None):
 
     """
@@ -60,7 +60,7 @@ def report_rebind(report: str, dataset: str, report_workspace: Optional[str] = N
     else:
         print(f"{red_dot} The '{report}' report within the '{report_workspace}' workspace failed to rebind to the '{dataset}' semantic model within the '{dataset_workspace}' workspace.")
 
-@log
+
 def report_rebind_all(dataset: str, new_dataset: str, dataset_workspace: Optional[str] = None, new_dataset_workpace: Optional[str] = None, report_workspace: Optional[str] = None):
 
     """

sempy_labs/TOM.py

@@ -9,7 +9,7 @@
 from .Fallback import check_fallback_reason
 from contextlib import contextmanager
 from typing import List, Optional, Union, TYPE_CHECKING
-from sempy._utils._log import log
+
 
 if TYPE_CHECKING:
     import Microsoft.AnalysisServices.Tabular
@@ -23,7 +23,7 @@
 start_bold = '\033[1m'
 end_bold = '\033[0m'
 
-@log
+
 @contextmanager
 def connect_semantic_model(dataset: str, readonly: Optional[bool] = True, workspace: Optional[str] = None):
 

sempy_labs/Translations.py

@@ -1,6 +1,6 @@
 import pandas as pd
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
@@ -42,7 +42,7 @@ def language_validate(language: str):
 
     return lang
 
-@log
+
 def translate_semantic_model(dataset: str, languages: Union[str, List[str]], exclude_characters: Optional[str] = None, workspace: Optional[str] = None):
 
     """

sempy_labs/Vertipaq.py

@@ -9,9 +9,9 @@
 from .GetLakehouseTables import get_lakehouse_tables
 from .Lakehouse import lakehouse_attached
 from typing import List, Optional, Union
-from sempy._utils._log import log
 
-@log
+
+
 def vertipaq_analyzer(dataset: str, workspace: Optional[str] = None, export: Optional[str] = None, lakehouse_workspace: Optional[str] = None, read_stats_from_data: Optional[bool] = False):
 
     """
@@ -532,7 +532,7 @@ def visualize_vertipaq(dataframes):
     # Default to open the first tab
     display(HTML("<script>document.getElementsByClassName('tablinks')[0].click();</script>"))
 
-@log
+
 def import_vertipaq_analyzer(folder_path: str, file_name: str):
 
   """

sempy_labs/WarmCache.py

@@ -8,14 +8,14 @@
 from .RefreshSemanticModel import refresh_semantic_model
 from .GetMeasureDependencies import get_measure_dependencies
 from typing import List, Optional, Union
-from sempy._utils._log import log
+
 
 green_dot = '\U0001F7E2'
 yellow_dot = '\U0001F7E1'
 red_dot = '\U0001F534'
 in_progress = '⌛'
 
-@log
+
 def warm_direct_lake_cache_perspective(dataset: str, perspective: str, add_dependencies: Optional[bool] = False, workspace: Optional[str] = None):
 
     """
@@ -115,7 +115,7 @@ def warm_direct_lake_cache_perspective(dataset: str, perspective: str, add_depen
 
     return df
 
-@log
+
 def warm_direct_lake_cache_isresident(dataset: str, workspace: Optional[str] = None):
 
     """

setup.py

@@ -13,7 +13,7 @@
     long_description_content_type="text/markdown",
     packages=setuptools.find_packages(),
     install_requires=[
-        'semantic-link-sempy>=0.7.5',
+        'semantic-link',
         'anytree',
         'powerbiclient',
     ],