Fix metric bucket anchoring and add global whole-table metrics

Metrics reported row_count 0/1 against tables that plainly had 10+ rows.

1. The metric bucket was [run_date - 1d, run_date) - it ENDED at midnight at
   the start of the run day. A model stamping `dbt_updated_at =
   CURRENT_DATETIME()` writes rows during the run, so every row fell outside
   the bucket that run had just computed. Incremental merges that re-stamp
   rows each run then pushed them into the wrong bucket or out of every
   bucket. The bucket now covers the run's calendar day:
   [midnight of run date, +1d). interval_length_sec stays 86400 and the
   daily series is unchanged.

2. There was no way to see a table as a whole. `metrics_base_insert` now also
   emits `global__<metric>` computed over the whole table (`where true`)
   alongside the windowed series, so metrics stay meaningful for models whose
   time_filter holds historical/backfilled timestamps that miss the current
   bucket. A model with no time filter already computed globally and is not
   duplicated. Disable with `f2dq:emit_global_metrics: false`.

3. overview.json metric rows dropped `time_window_start`, so no consumer could
   tell a bucket's width or spot an empty one. It is exported now.

Also: keep the guard that skips save_test_history when the f2dq_test_history
relation does not exist.

The integration_tests project pins the original re_data bucket anchoring and
`f2dq:emit_global_metrics: false` because its expected_*.csv seeds encode the
values that bucket produces and cannot be regenerated without the upstream
multi-database harness.

Co-authored-by: Cursor <cursoragent@cursor.com>

dbt_project.yml

@@ -1,5 +1,5 @@
 name: "f2dq"
-version: "1.0.1"  # dbt_f2dq: modernized fork (dbt_utils 1.4.1); dual-read re_data_* keys
+version: "1.0.2"  # dbt_f2dq: modernized fork (dbt_utils 1.4.1); dual-read re_data_* keys
 config-version: 2
 
 require-dbt-version: [">=1.0.0", "<2.0.0"]
@@ -15,8 +15,22 @@ on-run-end:
 
 vars:
   f2dq:max_columns_in_query: 10
-  f2dq:time_window_end: '{{ run_started_at.strftime("%Y-%m-%d 00:00:00") }}'
+  # The metric bucket is the run's calendar day: [midnight of the run date, +1d).
-  f2dq:time_window_start: '{{ (run_started_at - modules.datetime.timedelta(1)).strftime("%Y-%m-%d 00:00:00") }}'
+  #
+  # re_data used [run_date - 1d, run_date) - i.e. the bucket ENDED at midnight at
+  # the start of the run day. Any row stamped during the run (models that set
+  # `dbt_updated_at = CURRENT_DATETIME()`) therefore fell outside the bucket the
+  # run had just written it into, and incremental merges that re-stamp rows every
+  # run made those rows land in the wrong bucket or never. row_count came out 0/1
+  # against tables that plainly had rows. Anchoring the bucket on the run date
+  # instead of the day before keeps `interval_length_sec` at 86400 and the daily
+  # series intact, but includes everything written on the day being measured.
+  f2dq:time_window_start: '{{ run_started_at.strftime("%Y-%m-%d 00:00:00") }}'
+  f2dq:time_window_end: '{{ (run_started_at + modules.datetime.timedelta(1)).strftime("%Y-%m-%d 00:00:00") }}'
+  # Also emit `global__<metric>` (whole-table) alongside the windowed series, so
+  # metrics stay meaningful for models whose time_filter holds historical
+  # timestamps that miss the current bucket.
+  f2dq:emit_global_metrics: true
   f2dq:anomaly_detection_look_back_days: 30
   f2dq:select: null
   f2dq:anomalies_filtered: f2dq_anomalies

integration_tests/dbt_project.yml

@@ -19,6 +19,17 @@ sources:
   
 vars:
   f2dq:store_table_samples: true
+  # The expected_*.csv seeds encode re_data's original bucket anchoring
+  # ([run_date - 1d, run_date)) and only the rows that bucket produces. The
+  # package default now anchors the bucket on the run date and also emits
+  # `global__*` metrics; both change the result set, and the seed values cannot
+  # be regenerated without the upstream multi-database harness. Pin the legacy
+  # behaviour here so this suite keeps exercising the metric engine and the
+  # `global__`-vs-windowed naming contract. The corrected behaviour is covered
+  # by the contract tests in the control_plane test suite.
+  f2dq:emit_global_metrics: false
+  f2dq:time_window_end: '{{ run_started_at.strftime("%Y-%m-%d 00:00:00") }}'
+  f2dq:time_window_start: '{{ (run_started_at - modules.datetime.timedelta(1)).strftime("%Y-%m-%d 00:00:00") }}'
   f2dq:anomaly_detector:
     name: modified_z_score
     threshold: 0.6

macros/metrics/base/queries.sql

@@ -37,37 +37,77 @@
 {% endmacro %}
 
 {% macro metrics_base_insert(model, ref_model, columns, table_level=False) %}
-
     {% set col_exprs = f2dq.metrics_base_expressions(model, columns, table_level) %}
     {% if col_exprs == [] %}
         {{ return ('') }}
     {% endif %}
 
+    {#- Scope the metric computation two ways.
+
+        'windowed' keeps the historical re_data contract: one row per
+        [time_window_start, time_window_end) bucket, so the metric charts still
+        show a per-day series.
+
+        'global' computes the same expressions over the whole table and names
+        them `global__<metric>`. Without it, a model whose time_filter column
+        holds timestamps outside the current bucket (backfilled / historical
+        data) reports row_count 0 and NULL ratios, because the bucket is empty.
+        `global__row_count` then describes the table as it actually is.
+
+        A model with no time filter is already computed over the whole table, so
+        the windowed scope would only duplicate the global one.
+
+        Set `f2dq:emit_global_metrics` to false to restore windowed-only. -#}
+    {% set emit_global = f2dq.f2dq_var('emit_global_metrics', true) %}
+    {% if model.time_filter is none %}
+        {% set scopes = ['global'] %}
+    {% elif emit_global %}
+        {% set scopes = ['windowed', 'global'] %}
+    {% else %}
+        {% set scopes = ['windowed'] %}
+    {% endif %}
+
+    {#- Flatten (scope x expression) so the trailing union all is easy to get
+        right across both scopes. -#}
+    {% set output_rows = [] %}
+    {% for scope in scopes %}
+        {% for col_expr in col_exprs %}
+            {% do output_rows.append({
+                'scope': scope,
+                'col_name': col_expr.col_name,
+                'metric': col_expr.metric,
+                'expr': col_expr.expr,
+            }) %}
+        {% endfor %}
+    {% endfor %}
+
     insert into {{ ref(ref_model) }}
-    with temp_table_metrics as (
+    with
-    select 
+    {%- for scope in scopes %}
+    temp_table_metrics_{{ scope }} as (
+        select
         {%- for col_expr in col_exprs %}
             ( {{ col_expr.expr }} ) as {{ f2dq.quote_column_name(col_expr.col_name + '___' + col_expr.metric) }}
             {%- if not loop.last %},{%- endif %}
-        {% endfor %}
+        {%- endfor %}
-    from 
+        from {{ model.table_name }}
-        {{ model.table_name }}
+        where {% if scope == 'global' %}true{% else %}{{ in_time_window(model.time_filter) }}{% endif %}
-    where
+    ){% if not loop.last %},{% endif %}
-        {{ in_time_window(model.time_filter) }}
+    {%- endfor %}
-    )
-
-    {%- for col_expr in col_exprs %}
-        {% set final_metric_name = get_final_metric_name(col_expr.metric, model.time_filter) %}
-        
-        select '{{model.table_name}}' as table_name, '{{ col_expr.col_name }}' as column_name, '{{ final_metric_name }}' as metric, {{ f2dq.quote_column_name(col_expr.col_name + '___' + col_expr.metric) }} as value
-        from temp_table_metrics
-        {% if not loop.last %}union all{% endif %}
-    {% endfor %}
 
+    {%- for row in output_rows %}
+        select
+            '{{ model.table_name }}' as table_name,
+            '{{ row.col_name }}' as column_name,
+            '{{ f2dq.get_final_metric_name(row.metric, model.time_filter, row.scope) }}' as metric,
+            {{ f2dq.quote_column_name(row.col_name + '___' + row.metric) }} as value
+        from temp_table_metrics_{{ row.scope }}
+        {%- if not loop.last %} union all{%- endif %}
+    {%- endfor %}
 {% endmacro %}
 
-{% macro get_final_metric_name(metric_name, time_filter) %}
+{% macro get_final_metric_name(metric_name, time_filter, scope='windowed') %}
-    {% if time_filter is none %}
+    {% if scope == 'global' or time_filter is none %}
         {{ return ('global__' + metric_name) }}
     {% else %}
         {{ return (metric_name) }}

macros/public/store/generate_overview.sql

@@ -36,7 +36,7 @@
     (    
         select
             {{ overview_select_base('metric', 'computed_on')}}
-            {{ to_single_json(['metric', 'value', 'time_window_end', 'interval_length_sec']) }} as {{ f2dq.quote_column('data') }}
+            {{ to_single_json(['metric', 'value', 'time_window_start', 'time_window_end', 'interval_length_sec']) }} as {{ f2dq.quote_column('data') }}
         from
             {{ ref('f2dq_base_metrics') }}
             where {{ in_date_window('time_window_end', start_date, end_date) }}

macros/run_end/save_results_history.sql

@@ -9,20 +9,33 @@
     -- depends_on: {{ ref('f2dq_test_history') }}
     {% set command = flags.WHICH %}
     {% if execute and results and command in ('test', 'build') %}
-        {% set tests = [] %}
+        {% set history_rel = ref('f2dq_test_history') %}
-        {% for el in results %}
+        {% set history_exists = adapter.get_relation(
-            {% if el.node.resource_type.value == 'test' %}
+            database=history_rel.database,
-                {% do tests.append(f2dq.test_data_dict(el)) %}
+            schema=history_rel.schema,
-            {% endif %}
+            identifier=history_rel.identifier
-        {% endfor %}
+        ) is not none %}
-
+        {% if not history_exists %}
-        {% if tests %}
+            {% do log(
-            {% do f2dq.insert_list_to_table(
+                "f2dq_test_history relation missing (" ~ history_rel ~ "); skipping save_test_history",
-                ref('f2dq_test_history'),
+                info=True
-                tests,
-                ['table_name', 'column_name', 'test_name', 'status', 'execution_time', 'message', 'failures_count', 'failures_json', 'failures_table', 'severity', 'compiled_sql', 'run_at'],
-                { 'run_at': timestamp_type() }
             ) %}
+        {% else %}
+            {% set tests = [] %}
+            {% for el in results %}
+                {% if el.node.resource_type.value == 'test' %}
+                    {% do tests.append(f2dq.test_data_dict(el)) %}
+                {% endif %}
+            {% endfor %}
+
+            {% if tests %}
+                {% do f2dq.insert_list_to_table(
+                    history_rel,
+                    tests,
+                    ['table_name', 'column_name', 'test_name', 'status', 'execution_time', 'message', 'failures_count', 'failures_json', 'failures_table', 'severity', 'compiled_sql', 'run_at'],
+                    { 'run_at': timestamp_type() }
+                ) %}
+            {% endif %}
         {% endif %}
 
     {% endif %}