Refactor families + add family participants to graphql

.github/workflows/test.yaml

@@ -76,6 +76,8 @@ jobs:
         uses: codecov/codecov-action@v3
         with:
           files: ./coverage.xml
+          token: ${{ secrets.CODECOV_TOKEN }}
+
 
       - name: "build web front-end"
         run: |

api/graphql/filters.py

@@ -1,10 +1,11 @@
-from typing import Any, Callable, Generic, TypeVar
+from typing import Callable, Generic, TypeVar
 
 import strawberry
 
-from db.python.utils import GenericFilter
+from db.python.utils import GenericFilter, GenericMetaFilter
 
 T = TypeVar('T')
+Y = TypeVar('Y')
 
 
 @strawberry.input(description='Filter for GraphQL queries')
@@ -47,22 +48,8 @@ def all_values(self):
 
         return v
 
-    def to_internal_filter(self, f: Callable[[T], Any] = None):
+    def to_internal_filter(self) -> GenericFilter[T]:
         """Convert from GraphQL to internal filter model"""
-
-        if f:
-            return GenericFilter(
-                eq=f(self.eq) if self.eq else None,
-                in_=list(map(f, self.in_)) if self.in_ else None,
-                nin=list(map(f, self.nin)) if self.nin else None,
-                gt=f(self.gt) if self.gt else None,
-                gte=f(self.gte) if self.gte else None,
-                lt=f(self.lt) if self.lt else None,
-                lte=f(self.lte) if self.lte else None,
-                contains=f(self.contains) if self.contains else None,
-                icontains=f(self.icontains) if self.icontains else None,
-            )
-
         return GenericFilter(
             eq=self.eq,
             in_=self.in_,
@@ -75,5 +62,43 @@ def to_internal_filter(self, f: Callable[[T], Any] = None):
             icontains=self.icontains,
         )
 
+    def to_internal_filter_mapped(self, f: Callable[[T], Y]) -> GenericFilter[Y]:
+        """
+        To internal filter, but apply a function to all values.
+        Separate this into a separate function to please linters and type checkers
+        """
+        return GenericFilter(
+            eq=f(self.eq) if self.eq else None,
+            in_=list(map(f, self.in_)) if self.in_ else None,
+            nin=list(map(f, self.nin)) if self.nin else None,
+            gt=f(self.gt) if self.gt else None,
+            gte=f(self.gte) if self.gte else None,
+            lt=f(self.lt) if self.lt else None,
+            lte=f(self.lte) if self.lte else None,
+            contains=f(self.contains) if self.contains else None,
+            icontains=f(self.icontains) if self.icontains else None,
+        )
+
 
 GraphQLMetaFilter = strawberry.scalars.JSON
+
+
+def graphql_meta_filter_to_internal_filter(
+    f: GraphQLMetaFilter | None,
+) -> GenericMetaFilter | None:
+    """Convert from GraphQL to internal filter model
+
+    Args:
+        f (GraphQLMetaFilter | None): GraphQL filter
+
+    Returns:
+        GenericMetaFilter | None: internal filter
+    """
+    if not f:
+        return None
+
+    d: GenericMetaFilter = {}
+    f_to_d: dict[str, GraphQLMetaFilter] = dict(f)  # type: ignore
+    for k, v in f_to_d.items():
+        d[k] = GenericFilter(**v) if isinstance(v, dict) else GenericFilter(eq=v)
+    return d

api/graphql/loaders.py

@@ -21,10 +21,11 @@
 )
 from db.python.tables.analysis import AnalysisFilter
 from db.python.tables.assay import AssayFilter
+from db.python.tables.family import FamilyFilter
 from db.python.tables.project import ProjectPermissionsTable
 from db.python.tables.sample import SampleFilter
 from db.python.tables.sequencing_group import SequencingGroupFilter
-from db.python.utils import GenericFilter, NotFoundError
+from db.python.utils import GenericFilter, NotFoundError, get_hashable_value
 from models.models import (
     AnalysisInternal,
     AssayInternal,
@@ -36,6 +37,7 @@
     SequencingGroupInternal,
 )
 from models.models.audit_log import AuditLogInternal
+from models.models.family import PedRowInternal
 
 
 class LoaderKeys(enum.Enum):
@@ -65,6 +67,9 @@ class LoaderKeys(enum.Enum):
     PARTICIPANTS_FOR_PROJECTS = 'participants_for_projects'
 
     FAMILIES_FOR_PARTICIPANTS = 'families_for_participants'
+    FAMILY_PARTICIPANTS_FOR_FAMILIES = 'family_participants_for_families'
+    FAMILY_PARTICIPANTS_FOR_PARTICIPANTS = 'family_participants_for_participants'
+    FAMILIES_FOR_IDS = 'families_for_ids'
 
     SEQUENCING_GROUPS_FOR_IDS = 'sequencing_groups_for_ids'
     SEQUENCING_GROUPS_FOR_SAMPLES = 'sequencing_groups_for_samples'
@@ -91,31 +96,8 @@ async def wrapped(*args, **kwargs):
     return connected_data_loader_caller
 
 
-def _prepare_partial_value_for_hashing(value):
-    if value is None:
-        return None
-    if isinstance(value, (int, str, float, bool)):
-        return value
-    if isinstance(value, enum.Enum):
-        return value.value
-    if isinstance(value, list):
-        # let's see if later we need to prepare the values in the list
-        return tuple(value)
-    if isinstance(value, dict):
-        return tuple(
-            sorted(
-                ((k, _prepare_partial_value_for_hashing(v)) for k, v in value.items()),
-                key=lambda x: x[0],
-            )
-        )
-
-    return hash(value)
-
-
-def _get_connected_data_loader_partial_key(kwargs):
-    return _prepare_partial_value_for_hashing(
-        {k: v for k, v in kwargs.items() if k != 'id'}
-    )
+def _get_connected_data_loader_partial_key(kwargs) -> tuple:
+    return get_hashable_value({k: v for k, v in kwargs.items() if k != 'id'})  # type: ignore
 
 
 def connected_data_loader_with_params(
@@ -381,7 +363,10 @@ async def load_families_for_participants(
     Get families of participants, noting a participant can be in multiple families
     """
     flayer = FamilyLayer(connection)
-    fam_map = await flayer.get_families_by_participants(participant_ids=participant_ids)
+
+    fam_map = await flayer.get_families_by_participants(
+        participant_ids=participant_ids, check_project_ids=False
+    )
     return [fam_map.get(p, []) for p in participant_ids]
 
 
@@ -449,6 +434,55 @@ async def load_phenotypes_for_participants(
     return [participant_phenotypes.get(pid, {}) for pid in participant_ids]
 
 
+@connected_data_loader(LoaderKeys.FAMILIES_FOR_IDS)
+async def load_families_for_ids(
+    family_ids: list[int], connection
+) -> list[FamilyInternal]:
+    """
+    DataLoader: get_families_for_ids
+    """
+    flayer = FamilyLayer(connection)
+    families = await flayer.query(FamilyFilter(id=GenericFilter(in_=family_ids)))
+    f_by_id = {f.id: f for f in families}
+    return [f_by_id[f] for f in family_ids]
+
+
+@connected_data_loader(LoaderKeys.FAMILY_PARTICIPANTS_FOR_FAMILIES)
+async def load_family_participants_for_families(
+    family_ids: list[int], connection
+) -> list[list[PedRowInternal]]:
+    """
+    DataLoader: get_family_participants_for_families
+    """
+    flayer = FamilyLayer(connection)
+    fp_map = await flayer.get_family_participants_by_family_ids(family_ids)
+
+    return [fp_map.get(fid, []) for fid in family_ids]
+
+
+@connected_data_loader(LoaderKeys.FAMILY_PARTICIPANTS_FOR_PARTICIPANTS)
+async def load_family_participants_for_participants(
+    participant_ids: list[int], connection
+) -> list[list[PedRowInternal]]:
+    """data loader for family participants for participants
+
+    Args:
+        participant_ids (list[int]): list of internal participant ids
+        connection (_type_): (this is automatically filled in by the loader decorator)
+
+    Returns:
+        list[list[PedRowInternal]]: list of family participants for each participant
+            (in order)
+    """
+    flayer = FamilyLayer(connection)
+    family_participants = await flayer.get_family_participants_for_participants(
+        participant_ids
+    )
+    fp_map = group_by(family_participants, lambda fp: fp.individual_id)
+
+    return [fp_map.get(pid, []) for pid in participant_ids]
+
+
 async def get_context(
     request: Request, connection=get_projectless_db_connection
 ):  # pylint: disable=unused-argument