feat(ddm): Implement bulk querying engine for metrics queries (#65066)

src/sentry/api/endpoints/organization_metrics.py

@@ -378,6 +378,7 @@ def _metrics_queries_plan_from_request(self, request: Request) -> MetricsQueries
         """
         Extracts the metrics queries plan from the request payload.
         """
+        # TODO: maybe we could use a serializer to read the body of the request.
         metrics_queries_plan = MetricsQueriesPlan()
 
         queries = request.data.get("queries") or []
@@ -406,7 +407,6 @@ def post(self, request: Request, organization) -> Response:
                 end=end,
                 interval=interval,
                 organization=organization,
-                # TODO: figure out how to make these methods work with HTTP body.
                 projects=self.get_projects(request, organization),
                 environments=self.get_environments(request, organization),
                 referrer=Referrer.API_DDM_METRICS_QUERY.value,

src/sentry/sentry_metrics/querying/data_v2/api.py

@@ -1,5 +1,6 @@
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from datetime import datetime
+from typing import Any
 
 from snuba_sdk import MetricsQuery, MetricsScope, Rollup
 
@@ -22,7 +23,7 @@ def run_metrics_queries_plan(
     projects: Sequence[Project],
     environments: Sequence[Environment],
     referrer: str,
-):
+) -> Mapping[str, Any]:
     # For now, if the query plan is empty, we return an empty dictionary. In the future, we might want to default
     # to a better data type.
     if metrics_queries_plan.is_empty():