Fixed docs code formating and linting

Author: ravi-db

docs/content/getting_started/runoboardingopt1.md

@@ -27,7 +27,7 @@ draft: false
 8. Click Add.
 
 9. In Parameters, select keyword argument then select JSON. Past below json parameters with :
-    ``` 
+```json 
     {                   
         "onboard_layer": "bronze_silver",
         "database": "dlt_demo",
@@ -41,11 +41,12 @@ draft: false
         "overwrite": "True",
         "env": "dev"
     } 
-    ```
-    Alternatly you can enter keyword arguments, click + Add and enter a key and value. Click + Add again to enter more arguments. 
+```
+
+Alternatly you can enter keyword arguments, click + Add and enter a key and value. Click + Add again to enter more arguments. 
 
 10. Click Save task.
 
 11. Run now
 
-12. Make sure job run successfully. Verify metadata in your dataflow spec tables entered in step: 9 e.g ```dlt_demo.bronze_dataflowspec_table``` , ```dlt_demo.silver_dataflowspec_table```
+12. Make sure job run successfully. Verify metadata in your dataflow spec tables entered in step: 11 e.g ```dlt_demo.bronze_dataflowspec_table``` , ```dlt_demo.silver_dataflowspec_table```

docs/content/getting_started/runoboardingopt2.md

@@ -7,10 +7,9 @@ draft: false
 
 #### Option#2: Notebook 
 1. Copy below code to databricks notebook cells
-```
-%pip install dlt-meta
-```
-```
+```%pip install dlt-meta```
+
+```python 
 onboarding_params_map = {
 		"database": "dlt_demo",
 		"onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
@@ -23,12 +22,12 @@ onboarding_params_map = {
 		"env": "dev",
 		"version": "v1",
 		"import_author": "Ravi"
-} 
+		}
 
 from src.onboard_dataflowspec import OnboardDataflowspec
 OnboardDataflowspec(spark, onboarding_params_map).onboard_dataflow_specs()
-
 ```
+
 2. Specify your onboarding config params in above ```onboarding_params_map```
 
 3. Run notebook cells

tests/test_pipeline_readers.py

@@ -163,7 +163,7 @@ def test_read_delta_with_read_config_positive(self):
         bronze_map.update(reader_config)
         bronze_dataflow_spec = BronzeDataflowSpec(**bronze_map)
         customer_df = PipelineReaders.read_dlt_delta(self.spark, bronze_dataflow_spec)
-        self.assertIsNotNone(customer_df)        
+        self.assertIsNotNone(customer_df)
 
     @patch.object(PipelineReaders, "get_db_utils", return_value=dbutils)
     @patch.object(dbutils, "secrets.get", return_value={"called"})