remove refs to information_schema_columns

.gitignore

@@ -28,6 +28,7 @@ var/
 logs/
 .venv
 poetry.lock
+package-lock.yml
 
 # PyInstaller
 #  Usually these files are written by a python script from a template

elementary/monitor/dbt_project/macros/base_queries/resources.sql

@@ -88,32 +88,3 @@
     {% set resources_meta_agate = run_query(resources_meta_query) %}
     {% do return(elementary.agate_to_dicts(resources_meta_agate)) %}
 {% endmacro %}
-
-
-{% macro get_resources_columns() %}
-    {% set columns_relation = ref('elementary', 'information_schema_columns') %}
-    {% if not elementary.relation_exists(columns_relation) %}
-        {% set columns_relation = ref('elementary', 'dbt_columns') %}
-    {% endif %}
-
-    {% set resources_columns_query %}
-        select
-            full_table_name,
-            database_name,
-            schema_name,
-            table_name,
-            column_name,
-            data_type
-        from {{ columns_relation }}
-    {% endset %}
-    {% set columns_agate = run_query(resources_columns_query) %}
-    {% set columns = elementary.agate_to_dicts(columns_agate) %}
-    {% set resources_columns_map = {} %}
-    {% for column in columns %}
-        {% set resource = column.get('full_table_name') %}
-        {% set resource_columns = resources_columns_map.get(resource, []) %}
-        {% do resource_columns.append({'column': column.get('column_name'), 'type': column.get('data_type')}) %}
-        {% do resources_columns_map.update({resource: resource_columns}) %} 
-    {% endfor %}
-    {% do return(resources_columns_map) %}
-{% endmacro %}

elementary/monitor/dbt_project/models/tests_recommendation/table_timestamp_columns.sql

@@ -41,7 +41,7 @@ with
             lower(schema_name) as schema_name,
             lower(table_name) as table_name,
             lower(column_name) as column_name
-        from {{ ref("elementary", "information_schema_columns") }}
+        from {{ elementary.get_elementary_relation('information_schema_columns') }}
     ),
 
     -- Inferring the timestamp column based on their names and assigning a confidence score.

elementary/monitor/dbt_project/models/tests_recommendation/test_recommendations.sql

@@ -65,7 +65,7 @@ with
             lower(schema_name) as schema_name,
             lower(table_name) as table_name,
             json_agg(json_build_object('name', lower(column_name), 'data_type', lower(data_type))) as columns
-        from {{ ref("elementary", "information_schema_columns") }}
+        from {{ elementary.get_elementary_relation('information_schema_columns') }}
         group by 1, 2, 3
     ),