Derived Model off A Dervied Model

For data modelers & consumers
1

Using the snowplow unified DBT package incremental logic how can I build a derived model, of another derived model incrementally?

For instance I have 2 staging models that are off the events_this_run and views_this run table that i merge into an intermediate model where the intermediate model looks like:

-- depends_on: [{{ ref('snowplow_unified_events_this_run') }}, {{ ref('snowplow_unified_views_this_run') }}]

{% set union_incremental -%}
    {{ snowplow_utils.is_run_with_new_events('snowplow_unified') }}
    {% if is_incremental() %}
    {%- set events_lower_limit, events_upper_limit = snowplow_utils.return_limits_from_model(ref('snowplow_unified_events_this_run'), 'derived_tstamp', 'derived_tstamp') %}
    {%- set views_lower_limit, views_upper_limit = snowplow_utils.return_limits_from_model(ref('snowplow_unified_views_this_run'), 'derived_tstamp', 'derived_tstamp') %}
        -- This incremental uses two different start limits, because we pull from both the 
        -- snowplow view model run and the snowplow run event model run and these can be at different limits
        and
        (
          (
            _dbt_source_relation ilike '%stg_content_open_events'
            and start_tstamp >= date({{ events_lower_limit }})
            and start_tstamp <= {{ dateadd(datepart="day", interval=1, from_date_or_timestamp=events_upper_limit) }}
          )
        or 
          (
            _dbt_source_relation ilike '%stg_web_first_party_content_page_views'
            and start_tstamp >= date({{ views_lower_limit }})
            and start_tstamp <= {{ dateadd(datepart="day", interval=1, from_date_or_timestamp=views_upper_limit) }}
          )
        )
    {% endif %}
{%- endset %}

-- Pull in the custom content_open events, and the web first party content page views
with unioned_data as (
  {{ 
    dbt_utils.union_relations(
      relations=[ref('stg_content_open_events'), ref('stg_web_first_party_content_page_views')],
      where=union_incremental
    ) 
  }}
),

How can I then build an incremental model off of the intermediate model efficiently?