add test_fingerprint to test widget

src/evidently/renderers/base_renderer.py

@@ -74,6 +74,7 @@ class DetailsInfo:
 class TestHtmlInfo:
     name: str
     description: str
+    test_fingerprint: str
     status: str
     details: List[DetailsInfo]
     groups: Dict[str, str]
@@ -98,6 +99,7 @@ def render_html(self, obj: TTest) -> TestHtmlInfo:
         return TestHtmlInfo(
             name=result.name,
             description=self.html_description(obj),
+            test_fingerprint=obj.get_fingerprint(),
             status=result.status.value,
             details=[],
             groups=obj.get_groups(),

src/evidently/test_suite/test_suite.py

@@ -21,6 +21,7 @@
 from evidently.model.widget import set_source_fingerprint
 from evidently.options.base import AnyOptions
 from evidently.pipeline.column_mapping import ColumnMapping
+from evidently.renderers.base_renderer import TestHtmlInfo
 from evidently.renderers.base_renderer import TestRenderer
 from evidently.renderers.base_renderer import WidgetIdGenerator
 from evidently.renderers.base_renderer import replace_test_widget_ids
@@ -212,7 +213,7 @@ def as_dict(  # type: ignore[override]
         return result
 
     def _build_dashboard_info(self):
-        test_results = []
+        test_results: List[TestHtmlInfo] = []
         total_tests = len(self._inner_suite.context.test_results)
         by_status = {}
         color_options = self.options.color_options
@@ -249,6 +250,7 @@ def _build_dashboard_info(self):
                     dict(
                         title=test_info.name,
                         description=test_info.description,
+                        test_fingerprint=test_info.test_fingerprint,
                         state=test_info.status.lower(),
                         details=dict(
                             parts=[dict(id=item.id, title=item.title, type="widget") for item in test_info.details]

src/evidently/ui/assets/index.html

@@ -11,7 +11,7 @@
       content="Evidently - ML Monitoring Demo. Hosted example to monitor the performance of a demand forecasting model on a toy dataset."
     />
     <title>Evidently - ML Monitoring Demo</title>
-    <script type="module" crossorigin src="/static/js/index-Bk_zDyHx.js"></script>
+    <script type="module" crossorigin src="/static/js/index-D-BBKVDE.js"></script>
     <link rel="modulepreload" crossorigin href="/static/js/vendor-C2GWNUp2.js">
     <link rel="stylesheet" crossorigin href="/static/css/index-CJbKDbyR.css">
   </head>