Repository: openbraininstitute/entitycore
Pull request #178: Improve the queries for filtering and retrieving facets by using only the required joins
Author: login: GianlucaFicarelli
Created: 2025-05-19T10:13:48Z | Merged: 2025-05-21T09:07:44Z

Improve the queries for filtering and retrieving facets by using only the required joins.
See the issue description at https://github.com/openbraininstitute/prod-platform-architecture/issues/68

- With a populated db and using the default page=1, page_size=100
time curl -vs 'http://127.0.0.1:8000/reconstruction-morphology?with_facets=true' > /dev/null

```
~ 4.6 seconds with the main branch 
~ 0.16-0.22 seconds with this branch
```

- With a populated db and using a custom page=1, page_size=10
time curl -vs 'http://127.0.0.1:8000/reconstruction-morphology?with_facets=true&page_size=10' > /dev/null

```
~ 4.4 seconds with the main branch 
~ 0.14 seconds with this branch
```

- With a populated db and using a custom page=1, page_size=1000
time curl -vs 'http://127.0.0.1:8000/reconstruction-morphology?with_facets=true&page_size=1000' > /dev/null

```
~ 7.2-7.5 seconds with the main branch 
~ 0.5-0.6 seconds with this branch
```

Other:
- use join instead of "in" with hierarchy CTE
- fix typo in within_brain_region_hierachy_id (breaking change)
- use IdFilterMixin in BrainRegionFilter
- use SubjectFilterMixin instead of SpeciesFilterMixin in DensityFilterBase
- add species facets to IonChannelModel (it already allowed to filter by species)
- add BrainRegionFilterMixin to MEModelFilter (it already joined with BrainRegion but it didn't allow filtering)
- rename the facet `single_neuron_synaptome` to `synaptome` in SingleNeuronSynaptomeSimulation for consistency (synaptome is used in both the model and in the filter)
- Fix `species_id_in` -> `species_id__in` in `SpeciesFilterMixin`
- Fix type of `score__lte` and `score__gte` from int to float


Diff:
diff --git a/app/dependencies/common.py b/app/dependencies/common.py
index 884916f90..b63ecae95 100644
--- a/app/dependencies/common.py
+++ b/app/dependencies/common.py
@@ -10,7 +10,10 @@
 from starlette.requests import Request
 
 from app.errors import ApiError, ApiErrorCode
+from app.filters.base import CustomFilter
 from app.filters.brain_region import filter_by_hierarchy_and_region
+from app.queries.filter import filter_from_db
+from app.queries.types import ApplyOperations
 from app.schemas.types import Facet, Facets, PaginationRequest
 
 
@@ -71,6 +74,8 @@ def _get_facets(
     query: sa.Select,
     name_to_facet_query_params: dict[str, FacetQueryParams],
     count_distinct_field: InstrumentedAttribute,
+    filter_model: CustomFilter,
+    filter_joins: dict[str, ApplyOperations] | None = None,
 ) -> Facets:
     facets = {}
     groupby_keys = ["id", "label", "type"]
@@ -80,7 +85,14 @@ def _get_facets(
         groupby_columns = [groupby_fields[key].label(key) for key in groupby_keys]  # type: ignore[attr-defined]
         groupby_ids = [sa.literal(i + 1) for i in range(len(groupby_columns))]
         facet_q = (
-            query.with_only_columns(
+            # ensure that only the required joins are added
+            filter_from_db(query, filter_model, filter_joins, forced_joins={facet_type})
+            if filter_joins
+            else query
+        )
+        # ensure that only the required columns are selected
+        facet_q = (
+            facet_q.with_only_columns(
                 *groupby_columns,
                 sa.func.count(sa.func.distinct(count_distinct_field)).label("count"),
             )
@@ -88,7 +100,8 @@ def _get_facets(
             .order_by(*orderby_keys)
         )
 
-        facets[facet_type] = [
+        # use only the inner name as the key, in case of nested filters
+        facets[facet_type.rsplit(".", maxsplit=1)[-1]] = [
             Facet.model_validate(row, from_attributes=True)
             for row in db.execute(facet_q).all()
             if row.id is not None  # exclude null rows if present
@@ -106,11 +119,20 @@ def __call__(
         query: sa.Select,
         name_to_facet_query_params: dict[str, FacetQueryParams],
         count_distinct_field: InstrumentedAttribute,
+        filter_model: CustomFilter,
+        filter_joins: dict[str, ApplyOperations] | None = None,
     ):
         if not self.with_facets:
             return None
 
-        return _get_facets(db, query, name_to_facet_query_params, count_distinct_field)
+        return _get_facets(
+            db,
+            query,
+            name_to_facet_query_params,
+            count_distinct_field,
+            filter_model=filter_model,
+            filter_joins=filter_joins,
+        )
 
 
 class Search[T: DeclarativeBase](BaseModel):
@@ -124,13 +146,13 @@ def __call__(self, q: sa.Select[tuple[T]], vector_col: InstrumentedAttribute):
 
 
 class InBrainRegionQuery(BaseModel):
-    within_brain_region_hierachy_id: uuid.UUID | None = None
+    within_brain_region_hierarchy_id: uuid.UUID | None = None
     within_brain_region_brain_region_id: uuid.UUID | None = None
     within_brain_region_ascendants: bool = False
 
     def __call__(self, query: sa.Select, db_model_class):
         if (
-            self.within_brain_region_hierachy_id is None
+            self.within_brain_region_hierarchy_id is None
             or self.within_brain_region_brain_region_id is None
         ):
             return query
@@ -138,7 +160,7 @@ def __call__(self, query: sa.Select, db_model_class):
         return filter_by_hierarchy_and_region(
             query=query,
             model=db_model_class,
-            hierarchy_id=self.within_brain_region_hierachy_id,
+            hierarchy_id=self.within_brain_region_hierarchy_id,
             brain_region_id=self.within_brain_region_brain_region_id,
             with_ascendants=self.within_brain_region_ascendants,
         )
diff --git a/app/filters/base.py b/app/filters/base.py
index e56d04107..a7747ee06 100644
--- a/app/filters/base.py
+++ b/app/filters/base.py
@@ -1,3 +1,4 @@
+from operator import attrgetter
 from typing import cast
 
 from fastapi_filter.contrib.sqlalchemy import Filter
@@ -106,3 +107,15 @@ def has_filtering_fields(self) -> bool:
             if field_value.has_filtering_fields():
                 return True
         return False
+
+    def get_nested_filter(self, name: str) -> "CustomFilter[T] | None":
+        """Return the nested filter if it has filtering fields, or None otherwise.
+
+        Args:
+            name: The name of the nested filter. It's possible to specify deeply nested filters
+            using the dot notation, e.g. "measurement_annotation.measurement_kind".
+        """
+        attr = attrgetter(name)(self)
+        if isinstance(attr, CustomFilter) and attr.has_filtering_fields():
+            return attr
+        return None
diff --git a/app/filters/brain_region.py b/app/filters/brain_region.py
index 063a6d103..a90d6e36e 100644
--- a/app/filters/brain_region.py
+++ b/app/filters/brain_region.py
@@ -11,7 +11,7 @@
 
 def _get_family_query(
     *, hierarchy_id: uuid.UUID, brain_region_id: uuid.UUID, with_ascendants=False
-):
+) -> sa.CTE:
     """Create query for BrainRegions that returns ids.
 
     Can either traverse down (the default) or up (with_ascendants=True)
@@ -52,7 +52,7 @@ def filter_by_hierarchy_and_region(
         brain_region_id=brain_region_id,
         with_ascendants=with_ascendants,
     )
-    query = query.filter(model.brain_region_id.in_(sa.select(brain_region_query.c.id)))
+    query = query.join(brain_region_query, model.brain_region_id == brain_region_query.c.id)
     return query
 
 
diff --git a/app/filters/common.py b/app/filters/common.py
index e20b944ec..d03128a62 100644
--- a/app/filters/common.py
+++ b/app/filters/common.py
@@ -113,7 +113,7 @@ class CreatorFilterMixin:
 
 
 class SpeciesFilterMixin:
-    species_id_in: list[int] | None = None
+    species_id__in: list[int] | None = None
     species: Annotated[SpeciesFilter | None, NestedSpeciesFilterDep] = None
     strain: Annotated[StrainFilter | None, NestedStrainFilterDep] = None
 
@@ -140,10 +140,7 @@ class SubjectFilterMixin:
     subject: Annotated[SubjectFilter | None, NestedSubjectFilterDep] = None
 
 
-class BrainRegionFilter(NameFilterMixin, CustomFilter):
-    # TODO: Use IdFilterMixin when brain region keys migrate from int to uuid
-    id: int | None = None
-    id__in: list[int] | None = None
+class BrainRegionFilter(IdFilterMixin, NameFilterMixin, CustomFilter):
     acronym: str | None = None
     acronym__in: list[str] | None = None
     order_by: list[str] = ["name"]  # noqa: RUF012
diff --git a/app/filters/density.py b/app/filters/density.py
index d55b82c1b..6d0565bd4 100644
--- a/app/filters/density.py
+++ b/app/filters/density.py
@@ -15,7 +15,7 @@
     ETypeClassFilterMixin,
     MTypeClassFilter,
     MTypeClassFilterMixin,
-    SpeciesFilterMixin,
+    SubjectFilterMixin,
     with_prefix,
 )
 
@@ -23,8 +23,8 @@
 class DensityFilterBase(
     CustomFilter,
     EntityFilterMixin,
-    SpeciesFilterMixin,
     BrainRegionFilterMixin,
+    SubjectFilterMixin,
 ):
     order_by: list[str] = ["-creation_date"]  # noqa: RUF012
 
diff --git a/app/filters/emodel.py b/app/filters/emodel.py
index 5409e72db..d03d760e8 100644
--- a/app/filters/emodel.py
+++ b/app/filters/emodel.py
@@ -5,6 +5,7 @@
 from app.db.model import EModel
 from app.filters.base import CustomFilter
 from app.filters.common import (
+    BrainRegionFilterMixin,
     EntityFilterMixin,
     ETypeClassFilterMixin,
     MTypeClassFilterMixin,
@@ -15,13 +16,14 @@
 
 class EModelFilter(
     CustomFilter,
+    BrainRegionFilterMixin,
     EntityFilterMixin,
     MTypeClassFilterMixin,
     ETypeClassFilterMixin,
     SpeciesFilterMixin,
 ):
-    score__lte: int | None = None
-    score__gte: int | None = None
+    score__lte: float | None = None
+    score__gte: float | None = None
 
     exemplar_morphology: Annotated[MorphologyFilter | None, NestedExemplarMorphologyFilterDep] = (
         None
diff --git a/app/filters/memodel.py b/app/filters/memodel.py
index efc422ce9..c11e656ab 100644
--- a/app/filters/memodel.py
+++ b/app/filters/memodel.py
@@ -5,6 +5,7 @@
 from app.db.model import MEModel, ValidationStatus
 from app.filters.base import CustomFilter
 from app.filters.common import (
+    BrainRegionFilterMixin,
     EntityFilterMixin,
     ETypeClassFilterMixin,
     MTypeClassFilterMixin,
@@ -20,6 +21,7 @@ class MEModelFilter(
     EntityFilterMixin,
     MTypeClassFilterMixin,
     ETypeClassFilterMixin,
+    BrainRegionFilterMixin,
 ):
     validation_status: ValidationStatus | None = None
 
diff --git a/app/queries/common.py b/app/queries/common.py
index 2abc85254..b985420e3 100644
--- a/app/queries/common.py
+++ b/app/queries/common.py
@@ -1,9 +1,8 @@
 import uuid
-from collections.abc import Callable
 
 import sqlalchemy as sa
 from pydantic import BaseModel
-from sqlalchemy.orm import DeclarativeBase, Session
+from sqlalchemy.orm import Session
 
 from app.db.auth import (
     constrain_entity_query_to_project,
@@ -13,7 +12,7 @@
 from app.db.utils import load_db_model_from_pydantic
 from app.dependencies.common import (
     FacetQueryParams,
-    InBrainRegionDep,
+    InBrainRegionQuery,
     PaginationQuery,
     Search,
     WithFacets,
@@ -25,11 +24,11 @@
     ensure_uniqueness,
 )
 from app.filters.base import Aliases, CustomFilter
+from app.queries.filter import filter_from_db
+from app.queries.types import ApplyOperations
 from app.schemas.auth import UserContextWithProjectId, UserProfile
 from app.schemas.types import ListResponse, PaginationResponse
 
-type ApplyOperations[T: DeclarativeBase] = Callable[[sa.Select[tuple[T]]], sa.Select[tuple[T]]]
-
 
 def router_read_one[T: BaseModel, I: Identifiable](
     *,
@@ -142,7 +141,7 @@ def router_read_many[T: BaseModel, I: Identifiable](  # noqa: PLR0913
     db_model_class: type[I],
     authorized_project_id: uuid.UUID | None,
     with_search: Search[I] | None,
-    with_in_brain_region: InBrainRegionDep | None,
+    with_in_brain_region: InBrainRegionQuery | None,
     facets: WithFacets | None,
     aliases: Aliases | None,
     apply_filter_query_operations: ApplyOperations[I] | None,
@@ -151,6 +150,7 @@ def router_read_many[T: BaseModel, I: Identifiable](  # noqa: PLR0913
     response_schema_class: type[T],
     name_to_facet_query_params: dict[str, FacetQueryParams] | None,
     filter_model: CustomFilter[I],
+    filter_joins: dict[str, ApplyOperations] | None = None,
 ) -> ListResponse[T]:
     """Read multiple models from the database.
 
@@ -168,6 +168,9 @@ def router_read_many[T: BaseModel, I: Identifiable](  # noqa: PLR0913
         response_schema_class: Pydantic schema class for the returned data.
         name_to_facet_query_params: dict of FacetQueryParams for building the facets.
         filter_model: instance of CustomFilter for filtering and sorting data.
+        filter_joins: mapping of filter names to join functions. The keys should match both:
+            - the nested filters attributes, to choose which joins should be applied for filtering.
+            - the keys in `name_to_facet_query_params`, for retrieving the facets.
 
     Returns:
         the list of model data, pagination, and facets as a Pydantic model.
@@ -181,6 +184,9 @@ def router_read_many[T: BaseModel, I: Identifiable](  # noqa: PLR0913
     if apply_filter_query_operations:
         filter_query = apply_filter_query_operations(filter_query)
 
+    if filter_joins:
+        filter_query = filter_from_db(filter_query, filter_model, filter_joins)
+
     filter_query = filter_model.filter(filter_query, aliases=aliases)
 
     if with_search and (description_vector := getattr(db_model_class, "description_vector", None)):
@@ -208,6 +214,19 @@ def router_read_many[T: BaseModel, I: Identifiable](  # noqa: PLR0913
             sa.func.count(sa.func.distinct(db_model_class.id)).label("count")
         )
     ).scalar_one()
+
+    facets_result = (
+        facets(
+            db,
+            filter_query,
+            name_to_facet_query_params,
+            count_distinct_field=db_model_class.id,
+            filter_model=filter_model,
+            filter_joins=filter_joins,
+        )
+        if facets and name_to_facet_query_params
+        else None
+    )
     return ListResponse[response_schema_class](
         data=[response_schema_class.model_validate(row) for row in data],
         pagination=PaginationResponse(
@@ -215,9 +234,7 @@ def router_read_many[T: BaseModel, I: Identifiable](  # noqa: PLR0913
             page_size=pagination_request.page_size,
             total_items=total_items,
         ),
-        facets=facets(db, filter_query, name_to_facet_query_params, db_model_class.id)
-        if facets and name_to_facet_query_params
-        else None,
+        facets=facets_result,
     )
 
 
diff --git a/app/queries/facets.py b/app/queries/facets.py
index 3353c7fc2..3b6aaa82a 100644
--- a/app/queries/facets.py
+++ b/app/queries/facets.py
@@ -35,3 +35,7 @@
     }
 }
 strain: dict[str, FacetQueryParams] = {"strain": {"id": Strain.id, "label": Strain.name}}
+subject: dict[str, FacetQueryParams] = {
+    "subject.species": {"id": Species.id, "label": Species.name},
+    "subject.strain": {"id": Strain.id, "label": Strain.name},
+}
diff --git a/app/queries/filter.py b/app/queries/filter.py
new file mode 100644
index 000000000..1b8ca69dc
--- /dev/null
+++ b/app/queries/filter.py
@@ -0,0 +1,47 @@
+from itertools import chain
+
+import sqlalchemy as sa
+
+from app.db.model import Identifiable
+from app.filters.base import CustomFilter
+from app.logger import L
+from app.queries.types import ApplyOperations
+
+
+def _to_parts(s: str) -> list[str]:
+    """Convert a dot-separated string to a list of substrings based on the dots.
+
+    Examples:
+        "a.b.c" -> ["a", "a.b", "a.b.c"]
+    """
+    parts = s.split(".")
+    return [".".join(parts[: i + 1]) for i in range(len(parts))]
+
+
+def filter_from_db[I: Identifiable](
+    query: sa.Select,
+    filter_model: CustomFilter[I],
+    filter_joins: dict[str, ApplyOperations],
+    forced_joins: set[str] | None = None,
+) -> sa.Select:
+    """Apply the required joins based on the filter.
+
+    Args:
+        query: select query.
+        filter_model: filter model instance.
+        filter_joins: dict of names and operations to apply to the query. The names should be
+            valid names of nested filters, and it's possible to specify deeply nested filters using
+            the dot notation, e.g. "measurement_annotation.measurement_kind".
+        forced_joins: subset of keys of filter_joins, that are applied only if the corresponding
+            nested filters have not been specified. This is useful to avoid duplicate joins.
+    """
+    forced_joins = set(chain.from_iterable(_to_parts(s) for s in forced_joins or ()))
+    if diff := forced_joins.difference(filter_joins):
+        msg = f"Not allowed in forced_joins: {diff}"
+        raise RuntimeError(msg)
+    for name, func in filter_joins.items():
+        nested_filter = filter_model.get_nested_filter(name)
+        if (nested_filter and not forced_joins) or (not nested_filter and name in forced_joins):
+            L.debug("Applying join filter for {!r}", name)
+            query = func(query)
+    return query
diff --git a/app/queries/types.py b/app/queries/types.py
new file mode 100644
index 000000000..983ee861b
--- /dev/null
+++ b/app/queries/types.py
@@ -0,0 +1,6 @@
+from collections.abc import Callable
+
+import sqlalchemy as sa
+from sqlalchemy.orm import DeclarativeBase
+
+type ApplyOperations[T: DeclarativeBase] = Callable[[sa.Select[tuple[T]]], sa.Select[tuple[T]]]
diff --git a/app/service/electrical_cell_recording.py b/app/service/electrical_cell_recording.py
index b94d34b44..813fba6a3 100644
--- a/app/service/electrical_cell_recording.py
+++ b/app/service/electrical_cell_recording.py
@@ -8,7 +8,6 @@
     BrainRegion,
     Contribution,
     ElectricalCellRecording,
-    ElectricalRecordingStimulus,
     Subject,
 )
 from app.dependencies.auth import UserContextDep, UserContextWithProjectIdDep
@@ -21,11 +20,7 @@
 )
 from app.dependencies.db import SessionDep
 from app.filters.electrical_cell_recording import ElectricalCellRecordingFilterDep
-from app.queries.common import (
-    router_create_one,
-    router_read_many,
-    router_read_one,
-)
+from app.queries.common import router_create_one, router_read_many, router_read_one
 from app.schemas.electrical_cell_recording import (
     ElectricalCellRecordingCreate,
     ElectricalCellRecordingRead,
@@ -88,7 +83,6 @@ def read_many(
     agent_alias = aliased(Agent, flat=True)
     created_by_alias = aliased(Agent, flat=True)
     updated_by_alias = aliased(Agent, flat=True)
-    protocol_alias = aliased(ElectricalRecordingStimulus, flat=True)
     name_to_facet_query_params: dict[str, FacetQueryParams] = {
         "contribution": {
             "id": agent_alias.id,
@@ -107,17 +101,20 @@ def read_many(
             "type": updated_by_alias.type,
         },
     }
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, ElectricalCellRecording.brain_region_id == BrainRegion.id)
-        .outerjoin(Contribution, ElectricalCellRecording.id == Contribution.entity_id)
-        .outerjoin(
-            protocol_alias,
-            ElectricalCellRecording.id == protocol_alias.recording_id,
-        )
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, ElectricalCellRecording.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, ElectricalCellRecording.updatedBy_id == updated_by_alias.id)
-    )
+    filter_joins = {
+        "brain_region": lambda q: q.join(
+            BrainRegion, ElectricalCellRecording.brain_region_id == BrainRegion.id
+        ),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, ElectricalCellRecording.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, ElectricalCellRecording.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, ElectricalCellRecording.updatedBy_id == updated_by_alias.id
+        ),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -126,7 +123,7 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         aliases={
             Agent: {
@@ -134,9 +131,9 @@ def read_many(
                 "createdBy": created_by_alias,
                 "updatedBy": updated_by_alias,
             },
-            ElectricalRecordingStimulus: protocol_alias,
         },
         pagination_request=pagination_request,
         response_schema_class=ElectricalCellRecordingRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/emodel.py b/app/service/emodel.py
index fb3abd965..942bcb6f0 100644
--- a/app/service/emodel.py
+++ b/app/service/emodel.py
@@ -12,7 +12,6 @@
     ETypeClass,
     ETypeClassification,
     IonChannelModel,
-    IonChannelModelToEModel,
     MTypeClass,
     MTypeClassification,
     ReconstructionMorphology,
@@ -99,7 +98,6 @@ def read_many(
     in_brain_region: InBrainRegionDep,
 ) -> ListResponse[EModelReadExpanded]:
     morphology_alias = aliased(ReconstructionMorphology, flat=True)
-    ion_channel_model_alias = aliased(IonChannelModel, flat=True)
     agent_alias = aliased(Agent, flat=True)
     created_by_alias = aliased(Agent, flat=True)
     updated_by_alias = aliased(Agent, flat=True)
@@ -110,7 +108,6 @@ def read_many(
             "createdBy": created_by_alias,
             "updatedBy": updated_by_alias,
         },
-        IonChannelModel: ion_channel_model_alias,
     }
 
     name_to_facet_query_params: dict[str, FacetQueryParams] = {
@@ -139,25 +136,28 @@ def read_many(
         },
     }
 
-    def filter_query_operations(q: sa.Select):
-        return (
-            q.join(Species, EModel.species_id == Species.id)
-            .join(morphology_alias, EModel.exemplar_morphology_id == morphology_alias.id)
-            .join(BrainRegion, EModel.brain_region_id == BrainRegion.id)
-            .outerjoin(Contribution, EModel.id == Contribution.entity_id)
-            .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-            .outerjoin(MTypeClassification, EModel.id == MTypeClassification.entity_id)
-            .outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id)
-            .outerjoin(ETypeClassification, EModel.id == ETypeClassification.entity_id)
-            .outerjoin(ETypeClass, ETypeClass.id == ETypeClassification.etype_class_id)
-            .outerjoin(IonChannelModelToEModel, EModel.id == IonChannelModelToEModel.emodel_id)
-            .outerjoin(
-                ion_channel_model_alias,
-                ion_channel_model_alias.id == IonChannelModelToEModel.ion_channel_model_id,
-            )
-            .outerjoin(created_by_alias, EModel.createdBy_id == created_by_alias.id)
-            .outerjoin(updated_by_alias, EModel.updatedBy_id == updated_by_alias.id)
-        )
+    filter_joins = {
+        "species": lambda q: q.join(Species, EModel.species_id == Species.id),
+        "exemplar_morphology": lambda q: q.join(
+            morphology_alias, EModel.exemplar_morphology_id == morphology_alias.id
+        ),
+        "brain_region": lambda q: q.join(BrainRegion, EModel.brain_region_id == BrainRegion.id),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, EModel.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "mtype": lambda q: q.outerjoin(
+            MTypeClassification, EModel.id == MTypeClassification.entity_id
+        ).outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id),
+        "etype": lambda q: q.outerjoin(
+            ETypeClassification, EModel.id == ETypeClassification.entity_id
+        ).outerjoin(ETypeClass, ETypeClass.id == ETypeClassification.etype_class_id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, EModel.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, EModel.updatedBy_id == updated_by_alias.id
+        ),
+    }
 
     return router_read_many(
         db=db,
@@ -167,10 +167,11 @@ def filter_query_operations(q: sa.Select):
         with_in_brain_region=in_brain_region,
         facets=facets,
         aliases=aliases,
-        apply_filter_query_operations=filter_query_operations,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         pagination_request=pagination_request,
         response_schema_class=EModelReadExpanded,
         name_to_facet_query_params=name_to_facet_query_params,
         filter_model=emodel_filter,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/experimental_bouton_density.py b/app/service/experimental_bouton_density.py
index db7aad3ed..ddf72d3c3 100644
--- a/app/service/experimental_bouton_density.py
+++ b/app/service/experimental_bouton_density.py
@@ -91,22 +91,30 @@ def read_many(
         },
     }
     name_to_facet_query_params: dict[str, FacetQueryParams] = (
-        fc.brain_region | fc.mtype | fc.species | fc.strain | aliased_facets
+        fc.brain_region | fc.mtype | fc.subject | aliased_facets
     )
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, ExperimentalBoutonDensity.brain_region_id == BrainRegion.id)
-        .outerjoin(subject, ExperimentalBoutonDensity.subject_id == subject.id)
-        .outerjoin(Species, subject.species_id == Species.id)
-        .outerjoin(Strain, subject.strain_id == Strain.id)
-        .outerjoin(Contribution, ExperimentalBoutonDensity.id == Contribution.entity_id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, ExperimentalBoutonDensity.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, ExperimentalBoutonDensity.updatedBy_id == updated_by_alias.id)
-        .outerjoin(
+    filter_joins = {
+        "brain_region": lambda q: q.join(
+            BrainRegion, ExperimentalBoutonDensity.brain_region_id == BrainRegion.id
+        ),
+        "subject": lambda q: q.outerjoin(
+            subject, ExperimentalBoutonDensity.subject_id == subject.id
+        ),
+        "subject.species": lambda q: q.outerjoin(Species, subject.species_id == Species.id),
+        "subject.strain": lambda q: q.outerjoin(Strain, subject.strain_id == Strain.id),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, ExperimentalBoutonDensity.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, ExperimentalBoutonDensity.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, ExperimentalBoutonDensity.updatedBy_id == updated_by_alias.id
+        ),
+        "mtype": lambda q: q.outerjoin(
             MTypeClassification, ExperimentalBoutonDensity.id == MTypeClassification.entity_id
-        )
-        .outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id)
-    )
+        ).outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -115,12 +123,13 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         aliases=aliases,
         pagination_request=pagination_request,
         response_schema_class=ExperimentalBoutonDensityRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
 
 
@@ -135,7 +144,7 @@ def read_one(
         db_model_class=ExperimentalBoutonDensity,
         authorized_project_id=user_context.project_id,
         response_schema_class=ExperimentalBoutonDensityRead,
-        apply_operations=lambda q: q.options(),
+        apply_operations=_load,
     )
 
 
diff --git a/app/service/experimental_neuron_density.py b/app/service/experimental_neuron_density.py
index 32a7f5703..996ecd51c 100644
--- a/app/service/experimental_neuron_density.py
+++ b/app/service/experimental_neuron_density.py
@@ -94,26 +94,33 @@ def read_many(
         },
     }
     name_to_facet_query_params: dict[str, FacetQueryParams] = (
-        fc.brain_region | fc.etype | fc.mtype | fc.species | fc.strain | aliased_facets
+        fc.brain_region | fc.etype | fc.mtype | fc.subject | aliased_facets
     )
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, ExperimentalNeuronDensity.brain_region_id == BrainRegion.id)
-        .outerjoin(subject_alias, ExperimentalNeuronDensity.subject_id == subject_alias.id)
-        .outerjoin(Species, subject_alias.species_id == Species.id)
-        .outerjoin(Strain, subject_alias.strain_id == Strain.id)
-        .outerjoin(Contribution, ExperimentalNeuronDensity.id == Contribution.entity_id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, ExperimentalNeuronDensity.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, ExperimentalNeuronDensity.updatedBy_id == updated_by_alias.id)
-        .outerjoin(
+    filter_joins = {
+        "brain_region": lambda q: q.join(
+            BrainRegion, ExperimentalNeuronDensity.brain_region_id == BrainRegion.id
+        ),
+        "subject": lambda q: q.outerjoin(
+            subject_alias, ExperimentalNeuronDensity.subject_id == subject_alias.id
+        ),
+        "subject.species": lambda q: q.outerjoin(Species, subject_alias.species_id == Species.id),
+        "subject.strain": lambda q: q.outerjoin(Strain, subject_alias.strain_id == Strain.id),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, ExperimentalNeuronDensity.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, ExperimentalNeuronDensity.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, ExperimentalNeuronDensity.updatedBy_id == updated_by_alias.id
+        ),
+        "mtype": lambda q: q.outerjoin(
             MTypeClassification, ExperimentalNeuronDensity.id == MTypeClassification.entity_id
-        )
-        .outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id)
-        .outerjoin(
+        ).outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id),
+        "etype": lambda q: q.outerjoin(
             ETypeClassification, ExperimentalNeuronDensity.id == ETypeClassification.entity_id
-        )
-        .outerjoin(ETypeClass, ETypeClass.id == ETypeClassification.etype_class_id)
-    )
+        ).outerjoin(ETypeClass, ETypeClass.id == ETypeClassification.etype_class_id),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -122,12 +129,13 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         aliases=aliases,
         pagination_request=pagination_request,
         response_schema_class=ExperimentalNeuronDensityRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
 
 
diff --git a/app/service/experimental_synapses_per_connection.py b/app/service/experimental_synapses_per_connection.py
index 694ddd39f..31b0358ff 100644
--- a/app/service/experimental_synapses_per_connection.py
+++ b/app/service/experimental_synapses_per_connection.py
@@ -126,25 +126,36 @@ def read_many(
     }
 
     name_to_facet_query_params: dict[str, FacetQueryParams] = (
-        fc.brain_region | fc.species | fc.strain | aliased_facets
+        fc.brain_region | fc.subject | aliased_facets
     )
 
     db_cls = ExperimentalSynapsesPerConnection
 
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, db_cls.brain_region_id == BrainRegion.id)
-        .join(pre_mtype_alias, db_cls.pre_mtype_id == pre_mtype_alias.id)
-        .join(post_mtype_alias, db_cls.post_mtype_id == post_mtype_alias.id)
-        .join(pre_region_alias, db_cls.pre_region_id == pre_region_alias.id)
-        .join(post_region_alias, db_cls.post_region_id == post_region_alias.id)
-        .outerjoin(subject_alias, db_cls.subject_id == subject_alias.id)
-        .outerjoin(Species, subject_alias.species_id == Species.id)
-        .outerjoin(Strain, subject_alias.strain_id == Strain.id)
-        .outerjoin(Contribution, db_cls.id == Contribution.entity_id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, db_cls.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, db_cls.updatedBy_id == updated_by_alias.id)
-    )
+    filter_joins = {
+        "brain_region": lambda q: q.join(BrainRegion, db_cls.brain_region_id == BrainRegion.id),
+        "pre_mtype": lambda q: q.join(pre_mtype_alias, db_cls.pre_mtype_id == pre_mtype_alias.id),
+        "post_mtype": lambda q: q.join(
+            post_mtype_alias, db_cls.post_mtype_id == post_mtype_alias.id
+        ),
+        "pre_region": lambda q: q.join(
+            pre_region_alias, db_cls.pre_region_id == pre_region_alias.id
+        ),
+        "post_region": lambda q: q.join(
+            post_region_alias, db_cls.post_region_id == post_region_alias.id
+        ),
+        "subject": lambda q: q.outerjoin(subject_alias, db_cls.subject_id == subject_alias.id),
+        "subject.species": lambda q: q.outerjoin(Species, subject_alias.species_id == Species.id),
+        "subject.strain": lambda q: q.outerjoin(Strain, subject_alias.strain_id == Strain.id),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, db_cls.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, db_cls.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, db_cls.updatedBy_id == updated_by_alias.id
+        ),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -154,11 +165,12 @@ def read_many(
         facets=facets,
         aliases=aliases,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         pagination_request=pagination_request,
         response_schema_class=ExperimentalSynapsesPerConnectionRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
 
 
diff --git a/app/service/ion_channel_model.py b/app/service/ion_channel_model.py
index 111309130..c18cb3c97 100644
--- a/app/service/ion_channel_model.py
+++ b/app/service/ion_channel_model.py
@@ -46,12 +46,15 @@ def read_many(
 ) -> ListResponse[IonChannelModelRead]:
     name_to_facet_query_params: dict[str, FacetQueryParams] = {
         "brain_region": {"id": BrainRegion.id, "label": BrainRegion.name},
+        "species": {"id": Species.id, "label": Species.name},
     }
 
-    def apply_filter_query(q: Select[IonChannelModel]):
-        return q.join(Species, IonChannelModel.species_id == Species.id).join(
+    filter_joins = {
+        "brain_region": lambda q: q.join(
             BrainRegion, IonChannelModel.brain_region_id == BrainRegion.id
-        )
+        ),
+        "species": lambda q: q.join(Species, IonChannelModel.species_id == Species.id),
+    }
 
     return router_read_many(
         db=db,
@@ -62,11 +65,12 @@ def apply_filter_query(q: Select[IonChannelModel]):
         facets=facets,
         aliases=None,
         apply_data_query_operations=_load,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         pagination_request=pagination_request,
         response_schema_class=IonChannelModelRead,
         name_to_facet_query_params=name_to_facet_query_params,
         filter_model=icm_filter,
+        filter_joins=filter_joins,
     )
 
 
diff --git a/app/service/measurement_annotation.py b/app/service/measurement_annotation.py
index 174c14ff7..ed32330d7 100644
--- a/app/service/measurement_annotation.py
+++ b/app/service/measurement_annotation.py
@@ -19,11 +19,9 @@
 from app.dependencies.common import InBrainRegionDep, PaginationQuery
 from app.dependencies.db import SessionDep
 from app.filters.measurement_annotation import (
-    MeasurementAnnotationFilter,
     MeasurementAnnotationFilterDep,
 )
 from app.queries.common import (
-    ApplyOperations,
     router_create_one,
     router_delete_one,
     router_read_many,
@@ -47,27 +45,6 @@ def _load_from_db(q: sa.Select) -> sa.Select:
     )
 
 
-def _get_filter_function(
-    filter_model: MeasurementAnnotationFilter, project_id: uuid.UUID | None
-) -> ApplyOperations:
-    """Return the base query needed to filter the annotations."""
-
-    def _filter_from_db(q: sa.Select) -> sa.Select:
-        q = q.join(Entity, Entity.id == MeasurementAnnotation.entity_id)
-        q = constrain_to_accessible_entities(q, project_id=project_id)
-        # join with kinds and items only if needed, for better performances
-        if filter_model.measurement_kind and filter_model.measurement_kind.has_filtering_fields():
-            q = q.join(MeasurementKind)
-            if (
-                filter_model.measurement_kind.measurement_item
-                and filter_model.measurement_kind.measurement_item.has_filtering_fields()
-            ):
-                q = q.join(MeasurementItem)
-        return q
-
-    return _filter_from_db
-
-
 def read_many(
     user_context: UserContextDep,
     db: SessionDep,
@@ -75,6 +52,14 @@ def read_many(
     pagination_request: PaginationQuery,
     in_brain_region: InBrainRegionDep,
 ) -> ListResponse[MeasurementAnnotationRead]:
+    apply_filter_query_operations = lambda q: constrain_to_accessible_entities(
+        q.join(Entity, Entity.id == MeasurementAnnotation.entity_id),
+        project_id=user_context.project_id,
+    )
+    filter_joins = {
+        "measurement_kind": lambda q: q.join(MeasurementKind),
+        "measurement_kind.measurement_item": lambda q: q.join(MeasurementItem),
+    }
     return router_read_many(
         db=db,
         db_model_class=MeasurementAnnotation,
@@ -83,14 +68,13 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=None,
         aliases=None,
-        apply_filter_query_operations=_get_filter_function(
-            filter_model=filter_model, project_id=user_context.project_id
-        ),
+        apply_filter_query_operations=apply_filter_query_operations,
         apply_data_query_operations=_load_from_db,
         pagination_request=pagination_request,
         response_schema_class=MeasurementAnnotationRead,
         name_to_facet_query_params=None,
         filter_model=filter_model,
+        filter_joins=filter_joins,
     )
 
 
diff --git a/app/service/memodel.py b/app/service/memodel.py
index dc41a2c00..f2a654cc5 100644
--- a/app/service/memodel.py
+++ b/app/service/memodel.py
@@ -1,7 +1,6 @@
 import uuid
 from typing import TYPE_CHECKING
 
-import sqlalchemy as sa
 from sqlalchemy.orm import (
     aliased,
     joinedload,
@@ -165,22 +164,30 @@ def read_many(
         },
     }
 
-    def filter_query_operations(q: sa.Select):
-        return (
-            q.join(Species, MEModel.species_id == Species.id)
-            .outerjoin(Strain, MEModel.strain_id == Strain.id)
-            .join(morphology_alias, MEModel.morphology_id == morphology_alias.id)
-            .join(emodel_alias, MEModel.emodel_id == emodel_alias.id)
-            .join(BrainRegion, MEModel.brain_region_id == BrainRegion.id)
-            .outerjoin(Contribution, MEModel.id == Contribution.entity_id)
-            .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-            .outerjoin(created_by_alias, MEModel.createdBy_id == created_by_alias.id)
-            .outerjoin(updated_by_alias, MEModel.updatedBy_id == updated_by_alias.id)
-            .outerjoin(MTypeClassification, MEModel.id == MTypeClassification.entity_id)
-            .outerjoin(MTypeClass, MTypeClassification.mtype_class_id == MTypeClass.id)
-            .outerjoin(ETypeClassification, MEModel.id == ETypeClassification.entity_id)
-            .outerjoin(ETypeClass, ETypeClassification.etype_class_id == ETypeClass.id)
-        )
+    filter_joins = {
+        "species": lambda q: q.join(Species, MEModel.species_id == Species.id),
+        "strain": lambda q: q.outerjoin(Strain, MEModel.strain_id == Strain.id),
+        "morphology": lambda q: q.join(
+            morphology_alias, MEModel.morphology_id == morphology_alias.id
+        ),
+        "emodel": lambda q: q.join(emodel_alias, MEModel.emodel_id == emodel_alias.id),
+        "brain_region": lambda q: q.join(BrainRegion, MEModel.brain_region_id == BrainRegion.id),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, MEModel.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, MEModel.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, MEModel.updatedBy_id == updated_by_alias.id
+        ),
+        "mtype": lambda q: q.outerjoin(
+            MTypeClassification, MEModel.id == MTypeClassification.entity_id
+        ).outerjoin(MTypeClass, MTypeClassification.mtype_class_id == MTypeClass.id),
+        "etype": lambda q: q.outerjoin(
+            ETypeClassification, MEModel.id == ETypeClassification.entity_id
+        ).outerjoin(ETypeClass, ETypeClassification.etype_class_id == ETypeClass.id),
+    }
 
     return router_read_many(
         db=db,
@@ -190,10 +197,11 @@ def filter_query_operations(q: sa.Select):
         with_in_brain_region=in_brain_region,
         facets=facets,
         aliases=aliases,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
-        apply_filter_query_operations=filter_query_operations,
         pagination_request=pagination_request,
         response_schema_class=MEModelRead,
         name_to_facet_query_params=name_to_facet_query_params,
         filter_model=memodel_filter,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/morphology.py b/app/service/morphology.py
index 27c265375..eb48ae3a8 100644
--- a/app/service/morphology.py
+++ b/app/service/morphology.py
@@ -25,7 +25,13 @@
     Strain,
 )
 from app.dependencies.auth import UserContextDep, UserContextWithProjectIdDep
-from app.dependencies.common import FacetsDep, InBrainRegionDep, PaginationQuery, SearchDep
+from app.dependencies.common import (
+    FacetQueryParams,
+    FacetsDep,
+    InBrainRegionDep,
+    PaginationQuery,
+    SearchDep,
+)
 from app.dependencies.db import SessionDep
 from app.filters.morphology import MorphologyFilterDep
 from app.queries.common import router_create_one, router_read_many, router_read_one
@@ -145,27 +151,35 @@ def read_many(
             "type": updated_by_alias.type,
         },
     }
-    apply_filter_query = lambda query: (
-        query.join(Species, ReconstructionMorphology.species_id == Species.id)
-        .join(BrainRegion, ReconstructionMorphology.brain_region_id == BrainRegion.id)
-        .outerjoin(Strain, ReconstructionMorphology.strain_id == Strain.id)
-        .outerjoin(Contribution, ReconstructionMorphology.id == Contribution.entity_id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, ReconstructionMorphology.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, ReconstructionMorphology.updatedBy_id == updated_by_alias.id)
-        .outerjoin(
+    filter_joins = {
+        "species": lambda q: q.join(Species, ReconstructionMorphology.species_id == Species.id),
+        "brain_region": lambda q: q.join(
+            BrainRegion, ReconstructionMorphology.brain_region_id == BrainRegion.id
+        ),
+        "strain": lambda q: q.outerjoin(Strain, ReconstructionMorphology.strain_id == Strain.id),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, ReconstructionMorphology.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, ReconstructionMorphology.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, ReconstructionMorphology.updatedBy_id == updated_by_alias.id
+        ),
+        "mtype": lambda q: q.outerjoin(
             MTypeClassification, ReconstructionMorphology.id == MTypeClassification.entity_id
-        )
-        .outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id)
-        .outerjoin(
-            MeasurementAnnotation,
-            MeasurementAnnotation.entity_id == ReconstructionMorphology.id,
-        )
-        .outerjoin(
-            MeasurementKind, MeasurementKind.measurement_annotation_id == MeasurementAnnotation.id
-        )
-        .outerjoin(MeasurementItem, MeasurementItem.measurement_kind_id == MeasurementKind.id)
-    )
+        ).outerjoin(MTypeClass, MTypeClass.id == MTypeClassification.mtype_class_id),
+        "measurement_annotation": lambda q: q.outerjoin(
+            MeasurementAnnotation, MeasurementAnnotation.entity_id == ReconstructionMorphology.id
+        ),
+        "measurement_annotation.measurement_kind": lambda q: q.outerjoin(
+            MeasurementKind,
+            MeasurementKind.measurement_annotation_id == MeasurementAnnotation.id,
+        ),
+        "measurement_annotation.measurement_kind.measurement_item": lambda q: q.outerjoin(
+            MeasurementItem, MeasurementItem.measurement_kind_id == MeasurementKind.id
+        ),
+    }
     return router_read_many(
         db=db,
         db_model_class=ReconstructionMorphology,
@@ -174,10 +188,11 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=with_facets,
         aliases=aliases,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load_from_db,
         pagination_request=pagination_request,
         response_schema_class=ReconstructionMorphologyRead,
         name_to_facet_query_params=name_to_facet_query_params,
         filter_model=morphology_filter,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/single_neuron_simulation.py b/app/service/single_neuron_simulation.py
index 1beaea7e7..4175b6d55 100644
--- a/app/service/single_neuron_simulation.py
+++ b/app/service/single_neuron_simulation.py
@@ -101,14 +101,23 @@ def read_many(
         "me_model": {"id": me_model_alias.id, "label": me_model_alias.name},
     }
 
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, SingleNeuronSimulation.brain_region_id == BrainRegion.id)
-        .outerjoin(Contribution, SingleNeuronSimulation.id == Contribution.entity_id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, SingleNeuronSimulation.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, SingleNeuronSimulation.updatedBy_id == updated_by_alias.id)
-        .outerjoin(me_model_alias, SingleNeuronSimulation.me_model_id == me_model_alias.id)
-    )
+    filter_joins = {
+        "brain_region": lambda q: q.join(
+            BrainRegion, SingleNeuronSimulation.brain_region_id == BrainRegion.id
+        ),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, SingleNeuronSimulation.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, SingleNeuronSimulation.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, SingleNeuronSimulation.updatedBy_id == updated_by_alias.id
+        ),
+        "me_model": lambda q: q.outerjoin(
+            me_model_alias, SingleNeuronSimulation.me_model_id == me_model_alias.id
+        ),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -117,10 +126,11 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         aliases=aliases,
         pagination_request=pagination_request,
         response_schema_class=SingleNeuronSimulationRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/single_neuron_synaptome.py b/app/service/single_neuron_synaptome.py
index 4135c0eb9..1ed2dac83 100644
--- a/app/service/single_neuron_synaptome.py
+++ b/app/service/single_neuron_synaptome.py
@@ -105,15 +105,23 @@ def read_many(
         "me_model": {"id": me_model_alias.id, "label": me_model_alias.name},
     }
     name_to_facet_query_params: dict[str, FacetQueryParams] = fc.brain_region | aliased_facets
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, SingleNeuronSynaptome.brain_region_id == BrainRegion.id)
-        .outerjoin(Contribution, SingleNeuronSynaptome.id == Contribution.entity_id)
-        .outerjoin(Agent, Contribution.agent_id == Agent.id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(created_by_alias, SingleNeuronSynaptome.createdBy_id == created_by_alias.id)
-        .outerjoin(updated_by_alias, SingleNeuronSynaptome.updatedBy_id == updated_by_alias.id)
-        .outerjoin(me_model_alias, SingleNeuronSynaptome.me_model_id == me_model_alias.id)
-    )
+    filter_joins = {
+        "brain_region": lambda q: q.join(
+            BrainRegion, SingleNeuronSynaptome.brain_region_id == BrainRegion.id
+        ),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, SingleNeuronSynaptome.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
+            created_by_alias, SingleNeuronSynaptome.createdBy_id == created_by_alias.id
+        ),
+        "updatedBy": lambda q: q.outerjoin(
+            updated_by_alias, SingleNeuronSynaptome.updatedBy_id == updated_by_alias.id
+        ),
+        "me_model": lambda q: q.outerjoin(
+            me_model_alias, SingleNeuronSynaptome.me_model_id == me_model_alias.id
+        ),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -122,10 +130,11 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         aliases=aliases,
         pagination_request=pagination_request,
         response_schema_class=SingleNeuronSynaptomeRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/single_neuron_synaptome_simulation.py b/app/service/single_neuron_synaptome_simulation.py
index 7f19f004e..6c2422f3e 100644
--- a/app/service/single_neuron_synaptome_simulation.py
+++ b/app/service/single_neuron_synaptome_simulation.py
@@ -113,22 +113,25 @@ def read_many(
             "type": updated_by_alias.type,
         },
         "brain_region": {"id": BrainRegion.id, "label": BrainRegion.name},
-        "single_neuron_synaptome": {"id": synaptome_alias.id, "label": synaptome_alias.name},
+        "synaptome": {"id": synaptome_alias.id, "label": synaptome_alias.name},
     }
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, SingleNeuronSynaptomeSimulation.brain_region_id == BrainRegion.id)
-        .outerjoin(Contribution, SingleNeuronSynaptomeSimulation.id == Contribution.entity_id)
-        .outerjoin(agent_alias, Contribution.agent_id == agent_alias.id)
-        .outerjoin(
+    filter_joins = {
+        "brain_region": lambda q: q.join(
+            BrainRegion, SingleNeuronSynaptomeSimulation.brain_region_id == BrainRegion.id
+        ),
+        "contribution": lambda q: q.outerjoin(
+            Contribution, SingleNeuronSynaptomeSimulation.id == Contribution.entity_id
+        ).outerjoin(agent_alias, Contribution.agent_id == agent_alias.id),
+        "createdBy": lambda q: q.outerjoin(
             created_by_alias, SingleNeuronSynaptomeSimulation.createdBy_id == created_by_alias.id
-        )
-        .outerjoin(
+        ),
+        "updatedBy": lambda q: q.outerjoin(
             updated_by_alias, SingleNeuronSynaptomeSimulation.updatedBy_id == updated_by_alias.id
-        )
-        .outerjoin(
+        ),
+        "synaptome": lambda q: q.outerjoin(
             synaptome_alias, SingleNeuronSynaptomeSimulation.synaptome_id == synaptome_alias.id
-        )
-    )
+        ),
+    }
     return router_read_many(
         db=db,
         filter_model=filter_model,
@@ -137,10 +140,11 @@ def read_many(
         with_in_brain_region=in_brain_region,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=_load,
         aliases=aliases,
         pagination_request=pagination_request,
         response_schema_class=SingleNeuronSynaptomeSimulationRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
diff --git a/app/service/subject.py b/app/service/subject.py
index 3ce4de6d3..27e95dbf5 100644
--- a/app/service/subject.py
+++ b/app/service/subject.py
@@ -58,11 +58,11 @@ def read_many(
             "type": Agent.type,
         },
     }
-    apply_filter_query = lambda query: (
-        query.outerjoin(Contribution, Subject.id == Contribution.entity_id).outerjoin(
-            Agent, Contribution.agent_id == Agent.id
-        )
-    )
+    filter_joins = {
+        "contribution": lambda q: q.outerjoin(
+            Contribution, Subject.id == Contribution.entity_id
+        ).outerjoin(Agent, Contribution.agent_id == Agent.id)
+    }
     apply_data_options = lambda query: (
         query.options(joinedload(Subject.species)).options(raiseload("*"))
     )
@@ -74,10 +74,11 @@ def read_many(
         with_in_brain_region=None,
         facets=facets,
         name_to_facet_query_params=name_to_facet_query_params,
-        apply_filter_query_operations=apply_filter_query,
+        apply_filter_query_operations=None,
         apply_data_query_operations=apply_data_options,
         aliases={},
         pagination_request=pagination_request,
         response_schema_class=SubjectRead,
         authorized_project_id=user_context.project_id,
+        filter_joins=filter_joins,
     )
diff --git a/docs/API.md b/docs/API.md
index b38d4cc72..a19fc3472 100644
--- a/docs/API.md
+++ b/docs/API.md
@@ -200,13 +200,13 @@ This is inefficient.
 Instead, one can use the following query parameters:
 
 ```
-    within_brain_region_hierachy_id: uuid.UUID | None = None
+    within_brain_region_hierarchy_id: uuid.UUID | None = None
     within_brain_region_brain_region_id: uuid.UUID | None = None
     within_brain_region_ascendants: bool = False
 ```
 
 ```
-GET /reconstruction-morphology?within_brain_region_hierachy_id=3f41b5b5-4b62-40da-a645-eef27c6d07e3&within_brain_region_brain_region_id=ff004978-e3a2-4249-adab-f3d253e4bdd3
+GET /reconstruction-morphology?within_brain_region_hierarchy_id=3f41b5b5-4b62-40da-a645-eef27c6d07e3&within_brain_region_brain_region_id=ff004978-e3a2-4249-adab-f3d253e4bdd3
 ```
 
 In other words, the name of the hierarchy, and the id which will be recursively included.
diff --git a/pyproject.toml b/pyproject.toml
index ef5aded85..a51739d3d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,6 +45,7 @@ dev = [
     "pytest-cov",
     "pytest-freezer>=0.4.9",
     "pytest-httpx>=0.35.0",
+    "rich>=14.0.0",
     "ruff",
     "types-boto3-lite[essential]>=1.36.11",
     "types-cachetools>=5.5.0.20240820",
diff --git a/tests/test_brain_region.py b/tests/test_brain_region.py
index 468f35b04..1e4e690d7 100644
--- a/tests/test_brain_region.py
+++ b/tests/test_brain_region.py
@@ -170,13 +170,14 @@ def get_response(hier, acronym, ascendents):
             brain_regions0[acronym].id if hier == "hier0" else brain_regions1[acronym].id
         )
 
-        url = (
-            "/reconstruction-morphology"
-            f"?within_brain_region_hierachy_id={hierarchy_id}"
-            f"&within_brain_region_brain_region_id={brain_region_id}"
-            f"&within_brain_region_ascendants={ascendents}"
+        return client.get(
+            "/reconstruction-morphology",
+            params={
+                "within_brain_region_hierarchy_id": hierarchy_id,
+                "within_brain_region_brain_region_id": brain_region_id,
+                "within_brain_region_ascendants": ascendents,
+            },
         )
-        return client.get(url)
 
     for hier in ("hier0", "hier1"):
         # descendents
diff --git a/tests/test_single_neuron_synaptome_simulation.py b/tests/test_single_neuron_synaptome_simulation.py
index a0ba17b92..5985f572d 100644
--- a/tests/test_single_neuron_synaptome_simulation.py
+++ b/tests/test_single_neuron_synaptome_simulation.py
@@ -317,18 +317,18 @@ def test_facets(db, client, faceted_ids):
         {"id": str(brain_region_ids[0]), "label": "region-0", "count": 2, "type": "brain_region"},
         {"id": str(brain_region_ids[1]), "label": "region-1", "count": 2, "type": "brain_region"},
     ]
-    assert facets["single_neuron_synaptome"] == [
+    assert facets["synaptome"] == [
         {
             "id": str(synaptome_ids[0]),
             "label": "synaptome-0",
             "count": 2,
-            "type": "single_neuron_synaptome",
+            "type": "synaptome",
         },
         {
             "id": str(synaptome_ids[1]),
             "label": "synaptome-1",
             "count": 2,
-            "type": "single_neuron_synaptome",
+            "type": "synaptome",
         },
     ]
     assert facets["createdBy"] == [
@@ -347,12 +347,12 @@ def test_facets(db, client, faceted_ids):
     assert "facets" in data
     facets = data["facets"]
 
-    assert facets["single_neuron_synaptome"] == [
+    assert facets["synaptome"] == [
         {
             "id": str(synaptome_ids[0]),
             "label": "synaptome-0",
             "count": 2,
-            "type": "single_neuron_synaptome",
+            "type": "synaptome",
         }
     ]
 
diff --git a/uv.lock b/uv.lock
index 4c527d4bf..e78582a8d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 1
+revision = 2
 requires-python = "==3.12.*"
 
 [[package]]
@@ -11,9 +11,9 @@ dependencies = [
     { name = "sqlalchemy" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/4a/ed/901044acb892caa5604bf818d2da9ab0df94ef606c6059fdf367894ebf60/alembic-1.15.1.tar.gz", hash = "sha256:e1a1c738577bca1f27e68728c910cd389b9a92152ff91d902da649c192e30c49", size = 1924789 }
+sdist = { url = "https://files.pythonhosted.org/packages/4a/ed/901044acb892caa5604bf818d2da9ab0df94ef606c6059fdf367894ebf60/alembic-1.15.1.tar.gz", hash = "sha256:e1a1c738577bca1f27e68728c910cd389b9a92152ff91d902da649c192e30c49", size = 1924789, upload-time = "2025-03-04T22:02:38.583Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/99/f7/d398fae160568472ddce0b3fde9c4581afc593019a6adc91006a66406991/alembic-1.15.1-py3-none-any.whl", hash = "sha256:197de710da4b3e91cf66a826a5b31b5d59a127ab41bd0fc42863e2902ce2bbbe", size = 231753 },
+    { url = "https://files.pythonhosted.org/packages/99/f7/d398fae160568472ddce0b3fde9c4581afc593019a6adc91006a66406991/alembic-1.15.1-py3-none-any.whl", hash = "sha256:197de710da4b3e91cf66a826a5b31b5d59a127ab41bd0fc42863e2902ce2bbbe", size = 231753, upload-time = "2025-03-04T22:02:41.673Z" },
 ]
 
 [[package]]
@@ -24,9 +24,9 @@ dependencies = [
     { name = "alembic" },
     { name = "sqlalchemy" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f9/45/d3a66a8c7604baba5b498727539539120897fd8f931a6c89aa68ff0d7cb3/alembic_postgresql_enum-1.7.0.tar.gz", hash = "sha256:1a12a2b25f3f49440f419821888530496511573875438b6e9a08cbcb8a6f006f", size = 15637 }
+sdist = { url = "https://files.pythonhosted.org/packages/f9/45/d3a66a8c7604baba5b498727539539120897fd8f931a6c89aa68ff0d7cb3/alembic_postgresql_enum-1.7.0.tar.gz", hash = "sha256:1a12a2b25f3f49440f419821888530496511573875438b6e9a08cbcb8a6f006f", size = 15637, upload-time = "2025-02-20T08:22:36.285Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7d/9a/05d3f24be838af98f52e2a961f1f78f8575091198542a2add5cff7d62ef8/alembic_postgresql_enum-1.7.0-py3-none-any.whl", hash = "sha256:2a64260f3f1ed96f1bf984f55cb838e5d915693b8478b7b6ffea13cc09184ae0", size = 23516 },
+    { url = "https://files.pythonhosted.org/packages/7d/9a/05d3f24be838af98f52e2a961f1f78f8575091198542a2add5cff7d62ef8/alembic_postgresql_enum-1.7.0-py3-none-any.whl", hash = "sha256:2a64260f3f1ed96f1bf984f55cb838e5d915693b8478b7b6ffea13cc09184ae0", size = 23516, upload-time = "2025-02-20T08:22:34.239Z" },
 ]
 
 [[package]]
@@ -40,15 +40,15 @@ dependencies = [
     { name = "sqlalchemy" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/25/6b/e9cd5a576fdc7cbf6580f011a6025de4dae84020a17440be06efb984b649/alembic_utils-0.8.6.tar.gz", hash = "sha256:c6991c364c0a9fad13712124f07440a9cc719037b171d5190cf4beaed2ac026c", size = 22034 }
+sdist = { url = "https://files.pythonhosted.org/packages/25/6b/e9cd5a576fdc7cbf6580f011a6025de4dae84020a17440be06efb984b649/alembic_utils-0.8.6.tar.gz", hash = "sha256:c6991c364c0a9fad13712124f07440a9cc719037b171d5190cf4beaed2ac026c", size = 22034, upload-time = "2025-01-17T20:23:03.972Z" }
 
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
 ]
 
 [[package]]
@@ -60,18 +60,18 @@ dependencies = [
     { name = "sniffio" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949 }
+sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949, upload-time = "2025-03-17T00:02:54.77Z" }
 wheels = [
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 ]
 
 [[package]]
 name = "bidict"
 version = "0.23.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/9a/6e/026678aa5a830e07cd9498a05d3e7e650a4f56a42f267a53d22bcda1bdc9/bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71", size = 29093 }
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Reviews:
user: login: eleftherioszisis
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-05-19T11:25:41Z
user: login: GianlucaFicarelli
state: COMMENTED
author_association: COLLABORATOR
submitted_at: 2025-05-19T14:51:59Z
user: login: GianlucaFicarelli
state: COMMENTED
author_association: COLLABORATOR
submitted_at: 2025-05-20T13:53:45Z
user: login: eleftherioszisis
body: Great work!
state: APPROVED
author_association: CONTRIBUTOR
submitted_at: 2025-05-21T07:18:45Z
user: login: mgeplf
body: LGTM:

One general question I have/though is that perhaps the `filter_joins` should be moved out of the functions, so the dictionary doesn't need to be recreated each time, including all the lambdas.

The other thought I had was maybe we could decrease the repatition by having a factory function that takes `factory(model, ("brain_regions", "contribution", etc))` and creates the dict?
state: APPROVED
author_association: COLLABORATOR
submitted_at: 2025-05-21T07:45:43Z

Review comments:
diff_hunk: @@ -82,13 +82,20 @@ def read_many(
     name_to_facet_query_params: dict[str, FacetQueryParams] = (
         fc.brain_region | fc.contribution | memodel_alias_facets_params | created_by_facet
     )
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, SingleNeuronSynaptome.brain_region_id == BrainRegion.id)
-        .outerjoin(Contribution, SingleNeuronSynaptome.id == Contribution.entity_id)
-        .outerjoin(Agent, Contribution.agent_id == Agent.id)
-        .outerjoin(created_by_alias, SingleNeuronSynaptome.createdBy_id == created_by_alias.id)
-        .outerjoin(me_model_alias, SingleNeuronSynaptome.me_model_id == me_model_alias.id)
-    )
+    filter_joins = {
+        "brain_region": lambda q: q.join(
path: app/service/single_neuron_synaptome.py
user: login: eleftherioszisis
body: I wonder, would it be possible instead of strings to be able to pass here `CustomFilter.brain_region` ? This is something I wanted to also check if possible with the multiple aliases per model dict (or change the aliases to a mapping like here, from filter name to (alias, model) or sth along these lines) so that we ensure that whatever is passed as key is always correct.
created_at: 2025-05-19T11:25:41Z
author_association: CONTRIBUTOR
diff_hunk: @@ -82,13 +82,20 @@ def read_many(
     name_to_facet_query_params: dict[str, FacetQueryParams] = (
         fc.brain_region | fc.contribution | memodel_alias_facets_params | created_by_facet
     )
-    apply_filter_query = lambda query: (
-        query.join(BrainRegion, SingleNeuronSynaptome.brain_region_id == BrainRegion.id)
-        .outerjoin(Contribution, SingleNeuronSynaptome.id == Contribution.entity_id)
-        .outerjoin(Agent, Contribution.agent_id == Agent.id)
-        .outerjoin(created_by_alias, SingleNeuronSynaptome.createdBy_id == created_by_alias.id)
-        .outerjoin(me_model_alias, SingleNeuronSynaptome.me_model_id == me_model_alias.id)
-    )
+    filter_joins = {
+        "brain_region": lambda q: q.join(
path: app/service/single_neuron_synaptome.py
user: login: GianlucaFicarelli
body: I checked but `CustomFilter.brain_region` is an instance of CustomFilter/Filter that is a subclass of a Pydantic model, so it's not hashable by default.
Even setting `frozen=True` isn't enough, because some internal attributes are mutable (for example, `order_by` is a list), so it seems not possible unless dealing with internals of fastapi-filter.
created_at: 2025-05-19T14:51:59Z
author_association: COLLABORATOR
diff_hunk: @@ -110,7 +108,6 @@ def read_many(
             "createdBy": created_by_alias,
             "updatedBy": updated_by_alias,
         },
-        IonChannelModel: ion_channel_model_alias,
path: app/service/emodel.py
user: login: GianlucaFicarelli
body: I removed IonChannelModel because it's not defined in EModelFilter.
If we need it, we can keep IonChannelModel here, and add a nested IonChannelModelFilter to EModelFilter.
created_at: 2025-05-20T13:46:14Z
author_association: COLLABORATOR
diff_hunk: @@ -110,7 +108,6 @@ def read_many(
             "createdBy": created_by_alias,
             "updatedBy": updated_by_alias,
         },
-        IonChannelModel: ion_channel_model_alias,
path: app/service/emodel.py
user: login: mgeplf
body: makes sense
created_at: 2025-05-21T07:21:22Z
author_association: COLLABORATOR

PR comments:
user: login: GianlucaFicarelli
created_at: 2025-05-21T08:42:16Z
body: > One general question I have/though is that perhaps the `filter_joins` should be moved out of the functions, so the dictionary doesn't need to be recreated each time, including all the lambdas.

Similarly to `name_to_facet_query_params`, also `filter_joins` quite often requires the aliases, so in those cases it cannot be moved outside. Alternatively, all the definitions of aliases, name_to_facet_query_params and filter_joins, can be moved into a separate function that returns name_to_facet_query_params and filter_joins, but it wouldn't be very beneficial because it cannot be reused.

> 
> The other thought I had was maybe we could decrease the repetition by having a factory function that takes `factory(model, ("brain_regions", "contribution", etc))` and creates the dict?

If I understand correctly, we would need to pass the aliases also in this case. I can give it a try, maybe in a separate PR?
author_association: COLLABORATOR
user: login: mgeplf
created_at: 2025-05-21T08:47:35Z
body: Ah, good point about the aliases; annoying.  I think you're onto something w/ the definitions all having to be created simulataneously.

Anyways, that can all be for a different PR.  I think this is good to go.
author_association: COLLABORATOR