Update experiment export query to include feature ids and branch feat…

…ure config values (#4477)

* Update experiment export query to include feature ids and branch feature
config value.

* Add view skip for broken view

* add skip to dry run as well

bqetl_project.yaml

@@ -20,6 +20,7 @@ dry_run:
   function: https://us-central1-moz-fx-data-shared-prod.cloudfunctions.net/bigquery-etl-dryrun
   skip:
   # Access Denied
+  - sql/moz-fx-data-shared-prod/ads/nt_visits_to_sessions_conversion_factors_daily/view.sql
   - sql/moz-fx-data-shared-prod/account_ecosystem_derived/ecosystem_client_id_lookup_v1/query.sql
   - sql/moz-fx-data-shared-prod/account_ecosystem_derived/desktop_clients_daily_v1/query.sql
   - sql/moz-fx-data-shared-prod/account_ecosystem_restricted/ecosystem_client_id_deletion_v1/query.sql
@@ -362,6 +363,7 @@ view:
     # tests
     - sql/moz-fx-data-test-project/test/simple_view/view.sql
     # Access Denied
+    - sql/moz-fx-data-shared-prod/ads/nt_visits_to_sessions_conversion_factors_daily/view.sql
     - sql/moz-fx-data-shared-prod/telemetry/experiment_enrollment_cumulative_population_estimate/view.sql
     - sql/moz-fx-data-shared-prod/mlhackweek_search/events/view.sql
     - sql/moz-fx-data-shared-prod/regrets_reporter_ucs/deletion_request/view.sql

sql/moz-fx-data-experiments/monitoring/experimenter_experiments_v1/query.py

@@ -38,6 +38,7 @@ class Branch:
 
     slug: str
     ratio: int
+    features: Optional[dict]
 
 
 @attr.s(auto_attribs=True)
@@ -61,6 +62,7 @@ class Experiment:
     targeting: str
     targeted_percent: float
     namespace: Optional[str]
+    feature_ids: List[str]
 
 
 def _coerce_none_to_zero(x: Optional[int]) -> int:
@@ -113,7 +115,8 @@ def from_dict(cls, d) -> "ExperimentV1":
     def to_experiment(self) -> "Experiment":
         """Convert to Experiment."""
         branches = [
-            Branch(slug=variant.slug, ratio=variant.ratio) for variant in self.variants
+            Branch(slug=variant.slug, ratio=variant.ratio, features=None)
+            for variant in self.variants
         ]
         control_slug = None
 
@@ -141,6 +144,7 @@ def to_experiment(self) -> "Experiment":
             targeting="",
             targeted_percent=float(self.population_percent) / 100.0,
             namespace=None,
+            feature_ids=[],
         )
 
 
@@ -160,6 +164,7 @@ class ExperimentV6:
     channel: str
     targeting: str
     bucketConfig: dict
+    featureIds: list[str]
 
     @classmethod
     def from_dict(cls, d) -> "ExperimentV6":
@@ -173,7 +178,9 @@ def from_dict(cls, d) -> "ExperimentV6":
         )
         converter.register_structure_hook(
             Branch,
-            lambda b, _: Branch(slug=b["slug"], ratio=b["ratio"]),
+            lambda b, _: Branch(
+                slug=b["slug"], ratio=b["ratio"], features=b["features"]
+            ),
         )
         return converter.structure(d, cls)
 
@@ -205,6 +212,7 @@ def to_experiment(self) -> "Experiment":
             targeting=self.targeting,
             targeted_percent=self.bucketConfig["count"] / self.bucketConfig["total"],
             namespace=self.bucketConfig["namespace"],
+            feature_ids=self.featureIds,
         )
 
 
@@ -278,6 +286,7 @@ def main():
             fields=[
                 bigquery.SchemaField("slug", "STRING"),
                 bigquery.SchemaField("ratio", "INTEGER"),
+                bigquery.SchemaField("features", "JSON"),
             ],
         ),
         bigquery.SchemaField("app_id", "STRING"),
@@ -286,6 +295,7 @@ def main():
         bigquery.SchemaField("targeting", "STRING"),
         bigquery.SchemaField("targeted_percent", "FLOAT"),
         bigquery.SchemaField("namespace", "STRING"),
+        bigquery.SchemaField("feature_ids", "STRING", mode="REPEATED"),
     )
 
     job_config = bigquery.LoadJobConfig(