Fix ClickHouse and DuckDB CI failures

ClickHouse: reorder columns in freshness SLA final_result CTE so
is_failure is computed before sla_deadline_utc is cast to string
(ClickHouse resolves column refs to already-aliased columns in the
same SELECT, causing DateTime vs String type mismatch).

DuckDB: add explicit casts to LAG window function results in
volume_threshold to work around DuckDB internal binder bug that
confuses TIMESTAMP and FLOAT types across multiple LAG calls.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: haritamar

macros/edr/tests/test_data_freshness_sla.sql

@@ -277,20 +277,22 @@
                 target_date,
                 '{{ formatted_sla_time }}' as sla_time,
                 '{{ timezone }}' as timezone,
-                cast(
-                    sla_deadline_utc as {{ elementary.edr_type_string() }}
-                ) as sla_deadline_utc,
                 freshness_status,
                 cast(
                     max_timestamp as {{ elementary.edr_type_string() }}
                 ) as max_timestamp,
+                {# Compute is_failure before casting sla_deadline_utc to string,
+                   so the comparison uses the original timestamp type. #}
                 {{
                     elementary.edr_condition_as_boolean(
                         "freshness_status != 'DATA_FRESH' and "
                         ~ elementary.edr_current_timestamp_in_utc()
                         ~ " > sla_deadline_utc"
                     )
                 }} as is_failure,
+                cast(
+                    sla_deadline_utc as {{ elementary.edr_type_string() }}
+                ) as sla_deadline_utc,
                 {# BigQuery does not support '' to escape single quotes inside string literals.
                    Use \' for BigQuery and '' for all other adapters. #}
                 {%- if target.type == "bigquery" -%}

macros/edr/tests/test_volume_threshold.sql

@@ -195,8 +195,16 @@
                 bucket_start,
                 bucket_end,
                 row_count,
-                lag(row_count) over (order by bucket_end) as prev_row_count,
-                lag(bucket_end) over (order by bucket_end) as prev_bucket_end,
+                cast(
+                    lag(row_count) over (
+                        order by bucket_end
+                    ) as {{ elementary.edr_type_numeric() }}
+                ) as prev_row_count,
+                cast(
+                    lag(bucket_end) over (
+                        order by bucket_end
+                    ) as {{ elementary.edr_type_timestamp() }}
+                ) as prev_bucket_end,
                 row_number() over (order by bucket_end desc) as rn
             from metrics
         ),