small fixes

dlt-hub · Nov 7, 2023 · 8ad09f3 · 8ad09f3
1 parent 89b8e6e
commit 8ad09f3
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Showing 2 changed files with 6 additions and 16 deletions.
diff --git a/docs/website/docs/examples/nested_data/code/nested_data-snippets.py b/docs/website/docs/examples/nested_data/code/nested_data-snippets.py
@@ -30,12 +30,8 @@ def mongodb_collection(
         write_disposition: Optional[str] = dlt.config.value,
     ) -> Any:
         # set up mongo client
-        client = MongoClient(
-            connection_url, uuidRepresentation="standard", tz_aware=True
-        )
-        mongo_database = (
-            client.get_default_database() if not database else client[database]
-        )
+        client = MongoClient(connection_url, uuidRepresentation="standard", tz_aware=True)
+        mongo_database = client.get_default_database() if not database else client[database]
         collection_obj = mongo_database[collection]
 
         def collection_documents(
@@ -115,9 +111,7 @@ def convert_mongo_objs(value: Any) -> Any:
         print(load_info)
         tables = pipeline.last_trace.last_normalize_info.row_counts  # @@@DLT_REMOVE
         tables.pop("_dlt_pipeline_state")  # @@@DLT_REMOVE
-        assert (
-            len(tables) == 7
-        ), pipeline.last_trace.last_normalize_info  # @@@DLT_REMOVE
+        assert (len(tables) == 7), pipeline.last_trace.last_normalize_info  # @@@DLT_REMOVE
 
         # The second method involves setting the max_table_nesting attribute directly
         # on the source data object.
@@ -137,9 +131,7 @@ def convert_mongo_objs(value: Any) -> Any:
         print(load_info)
         tables = pipeline.last_trace.last_normalize_info.row_counts  # @@@DLT_REMOVE
         tables.pop("_dlt_pipeline_state")  # @@@DLT_REMOVE
-        assert (
-            len(tables) == 1
-        ), pipeline.last_trace.last_normalize_info  # @@@DLT_REMOVE
+        assert (len(tables) == 1), pipeline.last_trace.last_normalize_info  # @@@DLT_REMOVE
 
         # The third method involves applying data type hints to specific columns in the data.
         # In this case, we tell dlt that column 'cast' (containing a list of actors)
@@ -158,9 +150,7 @@ def convert_mongo_objs(value: Any) -> Any:
         print(load_info)
         tables = pipeline.last_trace.last_normalize_info.row_counts  # @@@DLT_REMOVE
         tables.pop("_dlt_pipeline_state")  # @@@DLT_REMOVE
-        assert (
-            len(tables) == 6
-        ), pipeline.last_trace.last_normalize_info  # @@@DLT_REMOVE
+        assert (len(tables) == 6), pipeline.last_trace.last_normalize_info  # @@@DLT_REMOVE
 
     # @@@DLT_SNIPPET_END nested_data_run
     # @@@DLT_SNIPPET_END example
diff --git a/docs/website/docs/examples/nested_data/index.md b/docs/website/docs/examples/nested_data/index.md
@@ -7,7 +7,7 @@ keywords: [incremental loading, example]
 import Header from '../_examples-header.md';
 
 <Header
-    intro="This tutorial demonstrates how to control nested data using Python and the dlt library. It covers working with MongoDB, incremental loading, limiting nesting levels, and applying data type hints."
+    intro="This example demonstrates how to control nested data using Python and the dlt library. It covers working with MongoDB, incremental loading, limiting nesting levels, and applying data type hints."
     slug="nested_data"
     run_file="nested_data" />