Add first macros. They still only work on BigQuery. But it should be …

…easy to translate them

dbt_project/macros/averagea.sql

@@ -0,0 +1,48 @@
+{#
+Returns the average (arithmetic mean) of the values in a column. 
+Handles text and non-numeric values.
+When is this a good idea? Not sure. Lol.
+
+Example:
+
+    Input: `example`
+
+    | example |
+    |---------|
+    | 10      | 
+    | 10s     |
+    | 30      |
+    | True    |
+
+    select 
+        {{ averagea('example') }}
+    from public.test
+
+    Output:
+
+    10.25
+
+Arguments:
+    column: Column name, required
+#}
+
+{% macro averagea(column) %} 
+    avg(
+        case 
+            -- If boolean, cast as number. 1 for True and 0 for False.
+            when lower(cast({{ column }} as string)) in ('y', 'yes', 't', 'true') then 1.0
+            when lower(cast({{ column }} as string)) in ('n', 'no', 'f', 'false') then 0.0
+
+            -- If integer, turn into float
+            when regexp_contains(lower(cast({{ column }} as string)), r'^([0-9]+)$') then cast({{ column }} as float64)
+
+            -- If float, turn into float
+            when regexp_contains(lower(cast({{ column }} as string)), r'^[-+]?[0-9]*\.[0-9]+([eE][-+]?[0-9]+)?$') then cast({{ column }} as float64)
+
+            -- If it contains a non-digit nor dot character, cast into 0.0
+            when regexp_contains(lower(cast({{ column }} as string)), r'[^0-9.]') then 0.0  
+        end
+    )
+{% endmacro %}
+
+

dbt_project/macros/averagex.sql

@@ -0,0 +1,32 @@
+{#
+Calculates the average (arithmetic mean) of a set of expressions evaluated over a table.
+
+Example:
+
+    Input: 'Orders', 'Quantity * Sales'
+
+    | Quantity | Sales  |
+    |----------|--------|
+    | 2        | 10     |
+    | 1        | 20     |
+    | 3        | 5      |
+
+    select {{ averagex('example') }}
+
+
+    Output:
+
+    18.33
+
+
+Arguments:
+    table: The table containing the rows for which the expression will be evaluated, required.
+    expression: The expression to be evaluated for each row of the table, required.
+#}
+
+{% macro averagex(table, expression) %}
+    (
+        select avg({{ expression }})
+        from {{ table }}
+    )
+{% endmacro %}

dbt_project/macros/remove_partial_duplicates.sql

@@ -0,0 +1,35 @@
+{#
+Remove partial duplicates using a ranking function.
+Needless to say, you will arbitrarly lose rows.
+It filters out any row besides the first one  per column.
+
+Example:
+
+    Input: `size`
+
+    | size | color |
+    |------+-------|
+    | S    | red   |
+    | S    | blue  |
+    | S    | red   |
+    | M    | red   |
+
+    select *
+    from public.test
+    {{ remove_partial_duplicates('size') }}
+
+    Output:
+
+    | size | color | 
+    |------+-------+
+    | S    | red   | 
+    | M    | red   |
+
+Arguments:
+    column: Column name, required
+#}
+
+{% macro remove_partial_duplicates(column_name) %}
+qualify row_number() over (partition by {{ column_name }}) = 1
+{% endmacro %}
+