Corrected onboarding files to templates and removed full paths

docs/content/faq/execution.md

@@ -12,7 +12,7 @@ Please refer to the [Getting Started]({{%relref "getting_started/_index.md" %}})
 **Q. How do I create metadata DLT-META ?**
 
 DLT-META needs following metadata files:
-- [Onboarding File](https://github.com/databrickslabs/dlt-meta/blob/main/examples/onboarding.json) captures input/output metadata 
+- [Onboarding File](https://github.com/databrickslabs/dlt-meta/blob/main/examples/onboarding.template) captures input/output metadata 
 - [Data Quality Rules File](https://github.com/databrickslabs/dlt-meta/tree/main/examples/dqe) captures data quality rules
 - [Silver transformation File](https://github.com/databrickslabs/dlt-meta/blob/main/examples/silver_transformations.json) captures  processing logic as sql 
 
@@ -28,7 +28,7 @@ DLT-META uses data_flow_group to launch DLT pipelines, so all the tables belongs
 **Q. Can we run onboarding for bronze layer only?**
 
 Yes! Please follow below steps:
-1. Bronze Metadata preparation ([example](https://github.com/databrickslabs/dlt-meta/blob/main/integration_tests/conf/cloudfiles-onboarding_A2.template))
+1. Bronze Metadata preparation ([example](https://github.com/databrickslabs/dlt-meta/blob/main/examples/bronze_onboarding.template))
 2. Onboarding Job
     - Option#1: [DLT-META CLI](https://databrickslabs.github.io/dlt-meta/getting_started/dltmeta_cli/#onboardjob)
     - Option#2: [Manual Job](https://databrickslabs.github.io/dlt-meta/getting_started/dltmeta_manual/#onboardjob)
@@ -37,7 +37,7 @@ Yes! Please follow below steps:
     {                   
             "onboard_layer": "bronze",
             "database": "dlt_demo",
-            "onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
+            "onboarding_file_path": "dbfs:/dlt-meta/conf/onboarding.json",
             "bronze_dataflowspec_table": "bronze_dataflowspec_table",
             "import_author": "Ravi",
             "version": "v1",
@@ -50,7 +50,7 @@ Yes! Please follow below steps:
 ```
         onboarding_params_map = {
                 "database": "uc_name.dlt_demo",
-                "onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
+                "onboarding_file_path": "dbfs:/dlt-meta/conf/onboarding.json",
                 "bronze_dataflowspec_table": "bronze_dataflowspec_table", 
                 "overwrite": "True",
                 "env": "dev",

docs/content/getting_started/dltmeta_manual.md

@@ -33,7 +33,7 @@ draft: false
     {                   
         "onboard_layer": "bronze_silver",
         "database": "dlt_demo",
-        "onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
+        "onboarding_file_path": "dbfs:/dlt-meta/conf/onboarding.json",
         "silver_dataflowspec_table": "silver_dataflowspec_table",
         "silver_dataflowspec_path": "dbfs:/onboarding_tables_cdc/silver",
         "bronze_dataflowspec_table": "bronze_dataflowspec_table",
@@ -51,7 +51,7 @@ draft: false
     {                   
         "onboard_layer": "bronze_silver",
         "database": "uc_name.dlt_demo",
-        "onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
+        "onboarding_file_path": "dbfs:/dlt-meta/conf/onboarding.json",
         "silver_dataflowspec_table": "silver_dataflowspec_table",
         "bronze_dataflowspec_table": "bronze_dataflowspec_table",
         "import_author": "Ravi",
@@ -78,7 +78,7 @@ Alternatly you can enter keyword arguments, click + Add and enter a key and valu
 ```python 
 onboarding_params_map = {
 		"database": "dlt_demo",
-		"onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
+		"onboarding_file_path": "dbfs:/dlt-meta/conf/onboarding.json",
 		"bronze_dataflowspec_table": "bronze_dataflowspec_table", 
 		"bronze_dataflowspec_path": "dbfs:/onboarding_tables_cdc/bronze",                       
 		"silver_dataflowspec_table": "silver_dataflowspec_table",
@@ -96,7 +96,7 @@ OnboardDataflowspec(spark, onboarding_params_map).onboard_dataflow_specs()
 ```python 
 onboarding_params_map = {
 		"database": "uc_name.dlt_demo",
-		"onboarding_file_path": "dbfs:/onboarding_files/users_onboarding.json",
+		"onboarding_file_path": "dbfs:/dlt-meta/conf/onboarding.json",,
 		"bronze_dataflowspec_table": "bronze_dataflowspec_table", 
 		"silver_dataflowspec_table": "silver_dataflowspec_table",
 		"overwrite": "True",

examples/bronze_onboarding.json → examples/bronze_onboarding.template

@@ -7,7 +7,7 @@
         "source_details": {
             "source_database": "APP",
             "source_table": "CUSTOMERS",
-            "source_path_it": "dbfs:/tmp/DLT-META//eedf48c2a67647f2b438ba4a3a757e7a/integration_tests/resources/data/customers_delta",
+            "source_path_it": "{dbfs_path}/resources/data/customers_delta",
             "source_metadata": {
                 "include_autoloader_metadata_column": "True",
                 "autoloader_metadata_col_name": "source_metadata",
@@ -16,24 +16,24 @@
                     "input_file_path": "_metadata.file_path"
                 }
             },
-            "source_schema_path": "dbfs:/tmp/DLT-META//eedf48c2a67647f2b438ba4a3a757e7a/integration_tests/resources/customers.ddl"
+            "source_schema_path": "{dbfs_path}/resources/customers.ddl"
         },
-        "bronze_database_it": "ravi_dlt_meta_uc.dlt_meta_bronze_it_eedf48c2a67647f2b438ba4a3a757e7a",
+        "bronze_database_it": "{uc_catalog_name}.{bronze_schema}",
         "bronze_table": "customers_delta",
         "bronze_reader_options": {
             "cloudFiles.format": "json",
             "cloudFiles.inferColumnTypes": "true",
             "cloudFiles.rescuedDataColumn": "_rescued_data"
         },
-        "bronze_table_path_it": "dbfs:/tmp/DLT-META//eedf48c2a67647f2b438ba4a3a757e7a/data/bronze/customers_delta",
+        "bronze_table_path_it": "{dbfs_path}data/bronze/customers_delta",
         "bronze_table_properties": {
             "pipelines.autoOptimize.managed": "true",
             "pipelines.autoOptimize.zOrderCols": "id, email"
         },
-        "bronze_data_quality_expectations_json_it": "dbfs:/tmp/DLT-META//eedf48c2a67647f2b438ba4a3a757e7a/integration_tests/conf/dqe/customers/bronze_data_quality_expectations.json",
-        "bronze_database_quarantine_it": "ravi_dlt_meta_uc.dlt_meta_bronze_it_eedf48c2a67647f2b438ba4a3a757e7a",
+        "bronze_data_quality_expectations_json_it": "{dbfs_path}/conf/dqe/customers/bronze_data_quality_expectations.json",
+        "bronze_database_quarantine_it": "{uc_catalog_name}.{bronze_schema}",
         "bronze_quarantine_table": "customers_delta_quarantine",
-        "bronze_quarantine_table_path_it": "dbfs:/tmp/DLT-META//eedf48c2a67647f2b438ba4a3a757e7a/data/bronze/customers_quarantine_delta",
+        "bronze_quarantine_table_path_it": "{dbfs_path}data/bronze/customers_quarantine_delta",
         "bronze_quarantine_table_properties": {
             "pipelines.reset.allowed": "false",
             "pipelines.autoOptimize.zOrderCols": "id, email"