Use JSONB for distributions columns, add BedBatchResult model

- Change distributions (bed_stats) and bedset_stats (bedsets) columns
  from JSON to JSONB for native operator support in aggregation queries
- Remove ::jsonb casts from aggregation SQL (no longer needed)
- Add BedBatchResult model with BedMetadataAll results so batch
  endpoint includes stats in serialized response
- get_batch returns BedBatchResult instead of BedListResult

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: sanghoonio

bbconf/db_utils.py

@@ -14,7 +14,7 @@
     event,
     select,
 )
-from sqlalchemy.dialects.postgresql import ARRAY, JSON
+from sqlalchemy.dialects.postgresql import ARRAY, JSON, JSONB
 from sqlalchemy.engine import URL, Engine, create_engine
 from sqlalchemy.event import listens_for
 from sqlalchemy.exc import IntegrityError, ProgrammingError
@@ -256,7 +256,7 @@ class BedStats(Base):
     median_neighbor_distance: Mapped[Optional[float]]
 
     distributions: Mapped[Optional[dict]] = mapped_column(
-        JSON,
+        JSONB,
         nullable=True,
         comment="Full distribution arrays from gtars genomicdist (JSONB)",
     )
@@ -344,7 +344,7 @@ class BedSets(Base):
         JSON, comment="Median values of the bedset"
     )
     bedset_stats: Mapped[Optional[dict]] = mapped_column(
-        JSON,
+        JSONB,
         nullable=True,
         comment="Pre-aggregated distribution statistics from gtars (JSONB)",
     )

bbconf/models/bed_models.py

@@ -210,6 +210,13 @@ class BedListResult(BaseModel):
     results: list[BedMetadataBasic]
 
 
+class BedBatchResult(BaseModel):
+    count: int
+    limit: int
+    offset: int
+    results: list[BedMetadataAll]
+
+
 class QdrantSearchResult(BaseModel):
     id: str
     payload: dict = None

bbconf/modules/bedfiles.py

@@ -244,7 +244,7 @@ def get_batch(
         identifiers: list,
         full: bool = False,
         distributions: bool = False,
-    ) -> "BedListResult":
+    ) -> "BedBatchResult":
         """
         Get multiple bed file records by identifiers in a single DB round-trip.
 
@@ -253,7 +253,7 @@ def get_batch(
         :param distributions: if True, include distribution arrays in stats
         :return: BedListResult with matching records
         """
-        from bbconf.models.bed_models import BedListResult, BedMetadataAll
+        from bbconf.models.bed_models import BedBatchResult, BedMetadataAll
 
         statement = select(Bed).where(Bed.id.in_(identifiers))
 
@@ -296,7 +296,7 @@ def get_batch(
                     )
                 )
 
-        return BedListResult(
+        return BedBatchResult(
             count=len(results),
             limit=len(identifiers),
             offset=0,