test(generator): усилены проверки startup-history и Superset

- Зачем:
  - зелёный результат проверок должен означать фактический стык и точный контракт дашборда.
- Что:
  - проверка startup-history читает manifest, требует live seam и непустой ODS.
  - добавлен быстрый runtime gate для daily-wave и live-продолжения.
  - Superset sync ограничен целевым dashboard и сверяет существенные params.
- Проверка:
  - docker target tests; make generator-test; make generated-history-runtime-check.

superset/create_dashboard.py

@@ -167,6 +167,8 @@ CHARTS_CONFIG = [
             "row_limit": 15,
             "order_desc": True,
             "sort_series_type": "sum",
+            "x_axis_sort": "Events, pcs",
+            "x_axis_sort_asc": False,
             "orientation": "vertical",
             "color_scheme": "supersetColors",
             "show_legend": True,
@@ -382,8 +384,14 @@ def sync_query_context(chart, params: dict, dataset_id: int) -> None:
     chart.query_context = json.dumps(query_context)
 
 
-def choose_chart_to_sync(existing_charts: list, current_name: str):
+def choose_chart_to_sync(existing_charts: list, current_name: str, dataset_id: int | None = None):
     """Выбирает один chart для синхронизации и отдаёт лишние дубли на удаление."""
+    if dataset_id is not None:
+        existing_charts = [
+            chart
+            for chart in existing_charts
+            if getattr(chart, "datasource_id", None) == dataset_id
+        ]
     if not existing_charts:
         return None, []
 
@@ -395,6 +403,16 @@ def choose_chart_to_sync(existing_charts: list, current_name: str):
     return selected, duplicates
 
 
+def dashboard_owned_charts(existing_charts: list, dashboard_slug: str) -> list:
+    """Оставляет только charts, уже привязанные к целевому dashboard."""
+    owned = []
+    for chart in existing_charts:
+        dashboards = getattr(chart, "dashboards", []) or []
+        if any(getattr(dashboard, "slug", None) == dashboard_slug for dashboard in dashboards):
+            owned.append(chart)
+    return owned
+
+
 def build_dashboard_metadata(filter_dataset_id: int | None) -> str:
     """Формирует json_metadata с валидными datasetId для native filters."""
     native_filters = []
@@ -470,6 +488,9 @@ def main() -> bool:
 
         created_charts = []
         datasets_by_name = {}
+        existing_dashboard = db.session.query(Dashboard).filter_by(
+            slug=DASHBOARD_CONFIG["slug"]
+        ).first()
 
         # Создаём чарты
         for chart_config in CHARTS_CONFIG:
@@ -503,11 +524,18 @@ def main() -> bool:
                 chart_names = [chart_config["slice_name"]]
                 chart_names.extend(chart_config.get("previous_slice_names", []))
                 existing_charts = db.session.query(Slice).filter(
-                    Slice.slice_name.in_(chart_names)
+                    Slice.slice_name.in_(chart_names),
+                    Slice.datasource_id == dataset.id,
                 ).order_by(Slice.id.asc()).all()
+                if existing_dashboard:
+                    existing_charts = dashboard_owned_charts(
+                        existing_charts,
+                        DASHBOARD_CONFIG["slug"],
+                    )
                 existing, duplicate_charts = choose_chart_to_sync(
                     existing_charts,
                     chart_config["slice_name"],
+                    dataset_id=dataset.id,
                 )
 
                 if existing:
@@ -562,8 +590,19 @@ def main() -> bool:
         logger.info(f"Created/Found {len(created_charts)} charts")
 
         current_chart_names = {chart_config["slice_name"] for chart_config in CHARTS_CONFIG}
+        target_dataset_ids = set(datasets_by_name.values())
         for obsolete_name in sorted(OBSOLETE_CHART_NAMES - current_chart_names):
-            obsolete_charts = db.session.query(Slice).filter_by(slice_name=obsolete_name).all()
+            if not existing_dashboard:
+                obsolete_charts = []
+            else:
+                obsolete_charts = db.session.query(Slice).filter(
+                    Slice.slice_name == obsolete_name,
+                    Slice.datasource_id.in_(target_dataset_ids),
+                ).all()
+                obsolete_charts = dashboard_owned_charts(
+                    obsolete_charts,
+                    DASHBOARD_CONFIG["slug"],
+                )
             for obsolete in obsolete_charts:
                 db.session.delete(obsolete)
                 logger.info("Deleted obsolete chart: %s (ID: %s)", obsolete_name, obsolete.id)
@@ -651,9 +690,7 @@ def main() -> bool:
         if created_charts:
             try:
                 # Проверяем, существует ли дашборд
-                existing = db.session.query(Dashboard).filter_by(
-                    slug=DASHBOARD_CONFIG["slug"]
-                ).first()
+                existing = existing_dashboard
 
                 if existing:
                     existing.description = DASHBOARD_CONFIG["description"]

superset/dashboards/ecommerce_analytics.zip.json

@@ -90,7 +90,7 @@
         "viz_type": "echarts_timeseries_bar",
         "datasource_type": "table",
         "datasource_name": "dm.v_events_enriched",
-        "params": "{\"x_axis\": \"geo_country\", \"metrics\": [{\"expressionType\": \"SQL\", \"sqlExpression\": \"COUNT(*)\", \"label\": \"Events, pcs\"}], \"row_limit\": 15, \"order_desc\": true, \"sort_series_type\": \"sum\", \"orientation\": \"vertical\", \"color_scheme\": \"supersetColors\", \"show_legend\": true, \"legendOrientation\": \"top\", \"legendType\": \"scroll\", \"rich_tooltip\": true, \"tooltipTimeFormat\": \"smart_date\", \"x_axis_title\": \"Country\", \"x_axis_title_margin\": 15, \"truncateXAxis\": true, \"y_axis_title\": \"Events, pcs\", \"y_axis_title_margin\": 15, \"y_axis_title_position\": \"Left\", \"y_axis_format\": \",d\", \"time_range\": \"No filter\", \"datasource\": \"1__table\", \"viz_type\": \"echarts_timeseries_bar\"}",
+        "params": "{\"x_axis\": \"geo_country\", \"metrics\": [{\"expressionType\": \"SQL\", \"sqlExpression\": \"COUNT(*)\", \"label\": \"Events, pcs\"}], \"row_limit\": 15, \"order_desc\": true, \"sort_series_type\": \"sum\", \"x_axis_sort\": \"Events, pcs\", \"x_axis_sort_asc\": false, \"orientation\": \"vertical\", \"color_scheme\": \"supersetColors\", \"show_legend\": true, \"legendOrientation\": \"top\", \"legendType\": \"scroll\", \"rich_tooltip\": true, \"tooltipTimeFormat\": \"smart_date\", \"x_axis_title\": \"Country\", \"x_axis_title_margin\": 15, \"truncateXAxis\": true, \"y_axis_title\": \"Events, pcs\", \"y_axis_title_margin\": 15, \"y_axis_title_position\": \"Left\", \"y_axis_format\": \",d\", \"time_range\": \"No filter\", \"datasource\": \"1__table\", \"viz_type\": \"echarts_timeseries_bar\"}",
         "description": "Chart created automatically for v_events_enriched"
       }
     },