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https://github.com/d3vyce/fastapi-toolsets.git
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fix: handle boolean and ARRAY column types in filter_by facet filtering (#203)
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@@ -6,12 +6,27 @@ from collections.abc import Sequence
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from dataclasses import dataclass, replace
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from typing import TYPE_CHECKING, Any, Literal
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from sqlalchemy import String, and_, or_, select
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from sqlalchemy import String, and_, func, or_, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import DeclarativeBase
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from sqlalchemy.orm.attributes import InstrumentedAttribute
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from sqlalchemy.types import (
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ARRAY,
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Boolean,
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Date,
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DateTime,
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Enum,
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Integer,
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Numeric,
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Time,
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Uuid,
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)
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from ..exceptions import InvalidFacetFilterError, NoSearchableFieldsError
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from ..exceptions import (
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InvalidFacetFilterError,
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NoSearchableFieldsError,
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UnsupportedFacetTypeError,
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)
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from ..types import FacetFieldType, SearchFieldType
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if TYPE_CHECKING:
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@@ -201,7 +216,14 @@ async def build_facets(
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rels = ()
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column = field
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q = select(column).select_from(model).distinct()
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col_type = column.property.columns[0].type
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is_array = isinstance(col_type, ARRAY)
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if is_array:
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unnested = func.unnest(column).label(column.key)
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q = select(unnested).select_from(model).distinct()
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else:
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q = select(column).select_from(model).distinct()
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# Apply base joins (already done on main query, but needed here independently)
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for rel in base_joins or []:
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@@ -215,7 +237,10 @@ async def build_facets(
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if base_filters:
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q = q.where(and_(*base_filters))
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q = q.order_by(column)
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if is_array:
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q = q.order_by(unnested)
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else:
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q = q.order_by(column)
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result = await session.execute(q)
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values = [row[0] for row in result.all() if row[0] is not None]
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return key, values
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@@ -226,6 +251,10 @@ async def build_facets(
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return dict(pairs)
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_EQUALITY_TYPES = (String, Integer, Numeric, Date, DateTime, Time, Enum, Uuid)
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"""Column types that support equality / IN filtering in build_filter_by."""
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def build_filter_by(
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filter_by: dict[str, Any],
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facet_fields: Sequence[FacetFieldType],
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@@ -271,9 +300,23 @@ def build_filter_by(
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joins.append(rel)
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added_join_keys.add(rel_key)
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if isinstance(value, list):
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filters.append(column.in_(value))
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col_type = column.property.columns[0].type
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if isinstance(col_type, ARRAY):
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if isinstance(value, list):
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filters.append(column.overlap(value))
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else:
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filters.append(column.any(value))
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elif isinstance(col_type, Boolean):
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if isinstance(value, list):
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filters.append(column.in_(value))
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else:
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filters.append(column.is_(value))
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elif isinstance(col_type, _EQUALITY_TYPES):
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if isinstance(value, list):
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filters.append(column.in_(value))
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else:
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filters.append(column == value)
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else:
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filters.append(column == value)
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raise UnsupportedFacetTypeError(key, type(col_type).__name__)
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return filters, joins
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