Remove pointless indexsets.tabulate parameter

ixmp4/core/optimization/indexset.py

@@ -113,9 +113,7 @@ def list(self, name: str | None = None) -> list[IndexSet]:
             for i in indexsets
         ]
 
-    def tabulate(
-        self, name: str | None = None, include_data: bool = False
-    ) -> pd.DataFrame:
+    def tabulate(self, name: str | None = None) -> pd.DataFrame:
         return self.backend.optimization.indexsets.tabulate(
-            run_id=self._run.id, name=name, include_data=include_data
+            run_id=self._run.id, name=name
         )

ixmp4/data/abstract/optimization/indexset.py

@@ -105,16 +105,11 @@ def list(self, **kwargs: Unpack["EnumerateKwargs"]) -> list[IndexSet]:
         """
         ...
 
-    def tabulate(
-        self, *, include_data: bool = False, **kwargs: Unpack["EnumerateKwargs"]
-    ) -> pd.DataFrame:
+    def tabulate(self, **kwargs: Unpack["EnumerateKwargs"]) -> pd.DataFrame:
         r"""Tabulate IndexSets by specified criteria.
 
         Parameters
         ----------
-        include_data : bool, optional
-            Whether to load all IndexSet data, which reduces loading speed. Defaults to
-            `False`.
         \*\*kwargs: any
             Any filter parameters as specified in
             `ixmp4.data.db.optimization.indexset.filter.OptimizationIndexSetFilter`.

ixmp4/data/api/optimization/indexset.py

@@ -66,12 +66,10 @@ def list(
         return super()._list(json=json)
 
     def tabulate(
-        self,
-        include_data: bool = False,
-        **kwargs: Unpack[abstract.optimization.EnumerateKwargs],
+        self, **kwargs: Unpack[abstract.optimization.EnumerateKwargs]
     ) -> pd.DataFrame:
         json = cast(abstract.annotations.OptimizationFilterAlias, kwargs)
-        return super()._tabulate(json=json, params={"include_data": include_data})
+        return super()._tabulate(json=json)
 
     def add_data(
         self,

ixmp4/data/db/base.py

@@ -290,7 +290,6 @@ def tabulate(self, *args: Any, _raw: bool = False, **kwargs: Any) -> pd.DataFram
 
 class PaginateKwargs(TypedDict):
     _filter: filters.BaseFilter
-    include_data: NotRequired[bool]
     join_parameters: NotRequired[bool | None]
     join_runs: NotRequired[bool | None]
     join_run_index: NotRequired[bool | None]
@@ -299,7 +298,6 @@ class PaginateKwargs(TypedDict):
 
 class EnumerateKwargs(TypedDict):
     _filter: filters.BaseFilter
-    include_data: NotRequired[bool]
     join_parameters: NotRequired[bool | None]
     join_runs: NotRequired[bool | None]
     join_run_index: NotRequired[bool | None]

ixmp4/data/db/optimization/indexset/repository.py

@@ -66,21 +66,8 @@ def list(self, **kwargs: Unpack["base.EnumerateKwargs"]) -> list[IndexSet]:
         return super().list(**kwargs)
 
     @guard("view")
-    def tabulate(
-        self, *, include_data: bool = False, **kwargs: Unpack["base.EnumerateKwargs"]
-    ) -> pd.DataFrame:
-        if not include_data:
-            return (
-                super().tabulate(**kwargs).rename(columns={"_data_type": "data_type"})
-            )
-        else:
-            result = super().tabulate(**kwargs).drop(labels="_data_type", axis=1)
-            result.insert(
-                loc=0,
-                column="data",
-                value=[indexset.data for indexset in self.list(**kwargs)],
-            )
-            return result
+    def tabulate(self, **kwargs: Unpack["base.EnumerateKwargs"]) -> pd.DataFrame:
+        return super().tabulate(**kwargs).rename(columns={"_data_type": "data_type"})
 
     @guard("edit")
     def add_data(

ixmp4/server/rest/optimization/indexset.py

@@ -29,7 +29,6 @@ class DataInput(BaseModel):
 def query(
     filter: OptimizationIndexSetFilter = Body(OptimizationIndexSetFilter()),
     table: bool = Query(False),
-    include_data: bool = Query(False),
     pagination: Pagination = Depends(),
     backend: Backend = Depends(deps.get_backend),
 ) -> EnumerationOutput[IndexSet]:
@@ -39,7 +38,6 @@ def query(
             limit=pagination.limit,
             offset=pagination.offset,
             table=bool(table),
-            include_data=bool(include_data),
         ),
         total=backend.optimization.indexsets.count(_filter=filter),
         pagination=pagination,

tests/core/test_optimization_indexset.py

@@ -9,7 +9,7 @@
 from ..utils import create_indexsets_for_run
 
 
-def df_from_list(indexsets: list[IndexSet], include_data: bool = False) -> pd.DataFrame:
+def df_from_list(indexsets: list[IndexSet]) -> pd.DataFrame:
     result = pd.DataFrame(
         # Order is important here to avoid utils.assert_unordered_equality,
         # which doesn't like lists
@@ -31,19 +31,14 @@ def df_from_list(indexsets: list[IndexSet], include_data: bool = False) -> pd.Da
             "created_by",
         ],
     )
-    if include_data:
-        result.insert(
-            loc=0, column="data", value=[indexset.data for indexset in indexsets]
-        )
-    else:
-        result.insert(
-            loc=0,
-            column="data_type",
-            value=[
-                type(indexset.data[0]).__name__ if indexset.data != [] else None
-                for indexset in indexsets
-            ],
-        )
+    result.insert(
+        loc=0,
+        column="data_type",
+        value=[
+            type(indexset.data[0]).__name__ if indexset.data != [] else None
+            for indexset in indexsets
+        ],
+    )
     return result
 
 
@@ -143,15 +138,6 @@ def test_tabulate_indexsets(self, platform: ixmp4.Platform) -> None:
         result = run.optimization.indexsets.tabulate(name="Indexset 2")
         pdt.assert_frame_equal(expected, result)
 
-        # Test tabulating including the data
-        expected = df_from_list(indexsets=[indexset_2], include_data=True)
-        pdt.assert_frame_equal(
-            expected,
-            run.optimization.indexsets.tabulate(
-                name=indexset_2.name, include_data=True
-            ),
-        )
-
     def test_indexset_docs(self, platform: ixmp4.Platform) -> None:
         run = platform.runs.create("Model", "Scenario")
         (indexset_1,) = tuple(

tests/data/test_optimization_indexset.py

@@ -9,7 +9,7 @@
 from ..utils import create_indexsets_for_run
 
 
-def df_from_list(indexsets: list[IndexSet], include_data: bool = False) -> pd.DataFrame:
+def df_from_list(indexsets: list[IndexSet]) -> pd.DataFrame:
     result = pd.DataFrame(
         # Order is important here to avoid utils.assert_unordered_equality,
         # which doesn't like lists
@@ -31,19 +31,14 @@ def df_from_list(indexsets: list[IndexSet], include_data: bool = False) -> pd.Da
             "created_by",
         ],
     )
-    if include_data:
-        result.insert(
-            loc=0, column="data", value=[indexset.data for indexset in indexsets]
-        )
-    else:
-        result.insert(
-            loc=0,
-            column="data_type",
-            value=[
-                type(indexset.data[0]).__name__ if indexset.data != [] else None
-                for indexset in indexsets
-            ],
-        )
+    result.insert(
+        loc=0,
+        column="data_type",
+        value=[
+            type(indexset.data[0]).__name__ if indexset.data != [] else None
+            for indexset in indexsets
+        ],
+    )
     return result
 
 
@@ -138,15 +133,6 @@ def test_tabulate_indexsets(self, platform: ixmp4.Platform) -> None:
             expected, platform.backend.optimization.indexsets.tabulate(run_id=run_2.id)
         )
 
-        # Test tabulating including the data
-        expected = df_from_list(indexsets=[indexset_2], include_data=True)
-        pdt.assert_frame_equal(
-            expected,
-            platform.backend.optimization.indexsets.tabulate(
-                name=indexset_2.name, include_data=True
-            ),
-        )
-
     def test_add_data(self, platform: ixmp4.Platform) -> None:
         test_data = ["foo", "bar"]
         run = platform.backend.runs.create("Model", "Scenario")