feat(catalog): preserve and display dataset value scores

backend/app/catalog/contracts.py

@@ -37,7 +37,7 @@ class CatalogFilters(Scope):
     field_type: str | None = None
     coverage_min: float | None = Field(default=None, ge=0, le=1)
     sort: Literal[
-        "id", "name", "category", "field_count", "coverage", "user_count", "alpha_count", "field_type"
+        "id", "name", "category", "field_count", "coverage", "user_count", "alpha_count", "field_type", "value_score"
     ] = "name"
     direction: Literal["asc", "desc"] = "asc"
     limit: int = Field(default=25, ge=1, le=100)
@@ -80,6 +80,7 @@ class EntryOutput(BaseModel):
     category: str | None
     subcategory: str | None
     field_type: str | None
+    value_score: float | None = None
     coverage: float | None
     user_count: int | None
     alpha_count: int | None

backend/app/catalog/sync.py

@@ -55,6 +55,7 @@ def normalize(raw, dataset_id):
         subcategory=label(raw.get("subcategory")),
         field_type=label(raw.get("type")) if dataset_id else None,
         coverage=coverage,
+        value_score=number(raw.get("valueScore")) if not dataset_id else None,
         user_count=number(raw.get("userCount"), True),
         alpha_count=number(raw.get("alphaCount"), True),
         field_count=number(raw.get("fieldCount"), True),

backend/app/models.py

@@ -357,6 +357,7 @@ class CatalogEntry(Base):
     subcategory: Mapped[str | None] = mapped_column(String(200))
     field_type: Mapped[str | None] = mapped_column(String(100))
     coverage: Mapped[float | None] = mapped_column(Float)
+    value_score: Mapped[float | None] = mapped_column(Float)
     user_count: Mapped[int | None] = mapped_column(Integer)
     alpha_count: Mapped[int | None] = mapped_column(Integer)
     field_count: Mapped[int | None] = mapped_column(Integer)