docs updates, typing fix

README.md

@@ -183,7 +183,9 @@ case specific CLI arguments or editing the saved YAML configuration file.
 For example, the following command creates a YAML file for the validation of the
 `new_york_citibike` table: `data-validation validate column -sc my_bq_conn -tc
 my_bq_conn -tbls bigquery-public-data.new_york_citibike.citibike_trips -c
-citibike.yaml`
+citibike.yaml`. 
+
+The vaildation config file is saved to the GCS path specified by the `PSO_DV_CONFIG_HOME` env variable if that has been set; otherwise, it is saved to wherever the tool is run. 
 
 Here is the generated YAML file named `citibike.yaml`:
 
@@ -219,6 +221,8 @@ data-validation run-config -c citibike.yaml
 View the complete YAML file for a GroupedColumn validation on the
 [examples](docs/examples.md#) page.
 
+You can view a list of all saved validation YAML files using `data-validation run-config list`. 
+
 ### Aggregated Fields
 
 Aggregate fields contain the SQL fields that you want to produce an aggregate

data_validation/state_manager.py

@@ -99,7 +99,7 @@ def _get_connection_path(self, name: str) -> str:
         return os.path.join(self._get_connections_directory(),
                             f"{name}.connection.json")
 
-    def create_validation_yaml(self, name: str, yaml_config: dict[str, str]):
+    def create_validation_yaml(self, name: str, yaml_config: Dict[str, str]):
         """Create a validation file and store the given config as YAML.
 
         Args:
@@ -111,7 +111,7 @@ def create_validation_yaml(self, name: str, yaml_config: dict[str, str]):
         self._write_file(validation_path, yaml_config_str)
         print(yaml_config)
 
-    def get_validation_config(self, name: str) -> dict[str, str]:
+    def get_validation_config(self, name: str) -> Dict[str, str]:
         """Get a validation configuration from the expected file.
 
         Args:

docs/connections.md

@@ -8,7 +8,7 @@ a directory specified by the env variable `PSO_DV_CONFIG_HOME`.
 ## GCS Connection Management (recommended)
 
 The connections can also be stored in GCS using `PSO_DV_CONFIG_HOME`.
-To do so simply add the GCS path to the environment.
+To do so simply add the GCS path to the environment. Note that if this path is set, query validation configs will also be saved here.
 
 eg.
 `export PSO_DV_CONFIG_HOME=gs://my-bucket/my/connections/path/`