Add Supabase target provider

src/microplex_us/supabase_targets.py

@@ -6,6 +6,92 @@
 from typing import Any
 
 import requests
+from microplex.core import EntityType
+from microplex.targets import (
+    FilterOperator,
+    TargetAggregation,
+    TargetFilter,
+    TargetQuery,
+    TargetSet,
+    TargetSpec,
+    apply_target_query,
+)
+
+from microplex_us.target_registry import (
+    US_TARGET_AVAILABLE_KEY,
+    US_TARGET_CATEGORY_KEY,
+    US_TARGET_GROUP_KEY,
+    US_TARGET_IMPUTATION_KEY,
+    US_TARGET_LEVEL_KEY,
+    TargetCategory,
+    TargetLevel,
+)
+
+SUPABASE_TARGET_ID_KEY = "supabase_target_id"
+SUPABASE_VARIABLE_KEY = "supabase_variable"
+SUPABASE_TARGET_TYPE_KEY = "supabase_target_type"
+SUPABASE_JURISDICTION_KEY = "supabase_jurisdiction"
+SUPABASE_STRATUM_NAME_KEY = "supabase_stratum_name"
+SUPABASE_SOURCE_INSTITUTION_KEY = "supabase_source_institution"
+SUPABASE_SUPPORTED_BY_COLUMN_MAP_KEY = "supabase_supported_by_column_map"
+
+_COUNT_ALL_VARIABLES = {
+    "family_count",
+    "household_count",
+    "person_count",
+    "spm_unit_count",
+    "tax_unit_count",
+}
+
+_COUNT_ENTITY_MAP = {
+    "family_count": EntityType.FAMILY,
+    "household_count": EntityType.HOUSEHOLD,
+    "person_count": EntityType.PERSON,
+    "spm_unit_count": EntityType.SPM_UNIT,
+    "tax_unit_count": EntityType.TAX_UNIT,
+}
+
+_INCOME_VARIABLES = {
+    "alimony_income",
+    "dividend_income",
+    "employment_income",
+    "farm_income",
+    "interest_income",
+    "long_term_capital_gains",
+    "partnership_s_corp_income",
+    "rental_income",
+    "self_employment_income",
+    "short_term_capital_gains",
+    "social_security",
+    "tax_exempt_pension_income",
+    "taxable_pension_income",
+    "unemployment_compensation",
+}
+
+_BENEFIT_VARIABLES = {
+    "eitc_spending",
+    "snap_households",
+    "snap_spending",
+    "social_security_spending",
+    "ssi_spending",
+    "unemployment_spending",
+}
+
+_HEALTH_VARIABLES = {
+    "aca_enrollment",
+    "health_insurance_premiums",
+    "medicaid_enrollment",
+    "other_medical_expenses",
+}
+
+_TAX_UNIT_VARIABLES = {
+    "eitc_spending",
+}
+
+_HOUSEHOLD_VARIABLES = {
+    "snap_households",
+    "snap_spending",
+}
 
 
 class SupabaseTargetLoader:
@@ -217,13 +303,11 @@ def _parse_jurisdiction(self, jurisdiction: str) -> str | None:
             return None
 
         if jurisdiction.startswith("us-") and len(jurisdiction) == 5:
-            state = jurisdiction[3:].lower()
-            if len(state) == 2:
-                return state
-
-        if jurisdiction.startswith("us-") and len(jurisdiction) == 5:
-            fips = jurisdiction[3:]
-            return self.STATE_FIPS.get(fips)
+            suffix = jurisdiction[3:].lower()
+            if suffix in self.STATE_FIPS:
+                return self.STATE_FIPS[suffix]
+            if suffix in _state_abbr_to_fips(self.STATE_FIPS):
+                return suffix
 
         return None
 
@@ -286,4 +370,225 @@ def get_summary(self) -> dict[str, Any]:
         }
 
 
-__all__ = ["SupabaseTargetLoader"]
+class SupabaseTargetProvider(SupabaseTargetLoader):
+    """Load Supabase targets as canonical core target specs."""
+
+    def load_target_set(self, query: TargetQuery | None = None) -> TargetSet:
+        """Load a canonical target set through the core provider protocol."""
+        query = query or TargetQuery()
+        provider_filters = query.provider_filters
+        period = _query_period(query.period)
+        institution = provider_filters.get("institution")
+        target_types = _as_string_set(provider_filters.get("target_types"))
+        include_unsupported = bool(provider_filters.get("include_unsupported", True))
+        include_states = bool(provider_filters.get("include_states", True))
+
+        if institution:
+            rows = self.load_by_institution(str(institution), period=period)
+        else:
+            rows = self.load_all(period=period)
+
+        specs: list[TargetSpec] = []
+        for row in rows:
+            target_type = _target_type(row)
+            if target_types and target_type not in target_types:
+                continue
+
+            spec = self.target_from_row(row)
+            if (
+                not include_states
+                and spec.metadata.get(US_TARGET_LEVEL_KEY) == TargetLevel.STATE.value
+            ):
+                continue
+            if (
+                not include_unsupported
+                and not spec.metadata[SUPABASE_SUPPORTED_BY_COLUMN_MAP_KEY]
+            ):
+                continue
+            specs.append(spec)
+
+        return apply_target_query(
+            TargetSet(specs),
+            TargetQuery(
+                period=period if period is not None else query.period,
+                entity=query.entity,
+                names=query.names,
+                metadata_filters=query.metadata_filters,
+            ),
+        )
+
+    def target_from_row(self, row: dict[str, Any]) -> TargetSpec:
+        """Translate one Supabase target row into the canonical target IR."""
+        variable = str(row["variable"])
+        jurisdiction = _target_jurisdiction(row)
+        state_fips, state_abbr = _jurisdiction_state(jurisdiction, self.STATE_FIPS)
+        target_type = _target_type(row)
+        aggregation = _aggregation_for_target_type(target_type)
+        measure = self.CPS_COLUMN_MAP.get(variable, variable)
+        supported = variable in self.CPS_COLUMN_MAP
+        source = row.get("source") if isinstance(row.get("source"), dict) else {}
+        source_name = source.get("name") or source.get("institution")
+        source_institution = source.get("institution")
+        stratum = row.get("stratum") if isinstance(row.get("stratum"), dict) else {}
+        category = _category_for_variable(variable)
+        level = TargetLevel.STATE if state_fips is not None else TargetLevel.NATIONAL
+
+        filters: list[TargetFilter] = []
+        if aggregation is TargetAggregation.COUNT and variable not in _COUNT_ALL_VARIABLES:
+            filters.append(
+                TargetFilter(
+                    feature=measure,
+                    operator=FilterOperator.GT,
+                    value=0,
+                )
+            )
+
+        if state_fips is not None:
+            filters.append(
+                TargetFilter(
+                    feature="state_fips",
+                    operator=FilterOperator.EQ,
+                    value=state_fips,
+                )
+            )
+
+        metadata: dict[str, Any] = {
+            SUPABASE_TARGET_ID_KEY: row.get("id"),
+            SUPABASE_VARIABLE_KEY: variable,
+            SUPABASE_TARGET_TYPE_KEY: target_type,
+            SUPABASE_JURISDICTION_KEY: jurisdiction,
+            SUPABASE_STRATUM_NAME_KEY: stratum.get("name"),
+            SUPABASE_SOURCE_INSTITUTION_KEY: source_institution,
+            SUPABASE_SUPPORTED_BY_COLUMN_MAP_KEY: supported,
+            US_TARGET_LEVEL_KEY: level.value,
+            US_TARGET_GROUP_KEY: _group_for_category(category),
+            US_TARGET_AVAILABLE_KEY: supported,
+            US_TARGET_IMPUTATION_KEY: not supported,
+        }
+        if category is not None:
+            metadata[US_TARGET_CATEGORY_KEY] = category.value
+        if state_fips is not None:
+            metadata["state_fips"] = state_fips
+            metadata["state_abbr"] = state_abbr
+
+        return TargetSpec(
+            name=_target_name(variable, jurisdiction),
+            entity=_entity_for_variable(variable),
+            value=float(row["value"]),
+            period=int(row["period"]),
+            measure=None if aggregation is TargetAggregation.COUNT else measure,
+            aggregation=aggregation,
+            filters=tuple(filters),
+            source=source_name,
+            units=_units_for_target_type(target_type),
+            description=row.get("notes"),
+            metadata=metadata,
+        )
+
+
+def _target_type(row: dict[str, Any]) -> str:
+    return str(row.get("target_type") or "amount").lower()
+
+
+def _aggregation_for_target_type(target_type: str) -> TargetAggregation:
+    if target_type == "count":
+        return TargetAggregation.COUNT
+    if target_type == "mean":
+        return TargetAggregation.MEAN
+    return TargetAggregation.SUM
+
+
+def _target_jurisdiction(row: dict[str, Any]) -> str:
+    stratum = row.get("stratum") if isinstance(row.get("stratum"), dict) else {}
+    return str(stratum.get("jurisdiction") or "us")
+
+
+def _target_name(variable: str, jurisdiction: str) -> str:
+    if jurisdiction in {"us", "us-national"}:
+        return variable
+    return f"{variable}_{jurisdiction.replace('-', '_')}"
+
+
+def _query_period(period: int | str | None) -> int | None:
+    if isinstance(period, int):
+        return period
+    if isinstance(period, str) and period.isdigit():
+        return int(period)
+    return None
+
+
+def _as_string_set(value: Any) -> set[str]:
+    if value is None:
+        return set()
+    if isinstance(value, str):
+        return {value}
+    return {str(item) for item in value}
+
+
+def _state_abbr_to_fips(state_fips: dict[str, str]) -> dict[str, str]:
+    return {abbr: fips for fips, abbr in state_fips.items()}
+
+
+def _jurisdiction_state(
+    jurisdiction: str,
+    state_fips: dict[str, str],
+) -> tuple[str | None, str | None]:
+    if not jurisdiction.startswith("us-") or len(jurisdiction) != 5:
+        return None, None
+
+    suffix = jurisdiction[3:].lower()
+    if suffix in state_fips:
+        return suffix, state_fips[suffix]
+
+    abbr_to_fips = _state_abbr_to_fips(state_fips)
+    if suffix in abbr_to_fips:
+        return abbr_to_fips[suffix], suffix
+
+    return None, None
+
+
+def _category_for_variable(variable: str) -> TargetCategory | None:
+    if variable in _INCOME_VARIABLES:
+        return TargetCategory.INCOME
+    if variable in _BENEFIT_VARIABLES:
+        return TargetCategory.BENEFITS
+    if variable in _HEALTH_VARIABLES:
+        return TargetCategory.HEALTH
+    if variable.endswith("_tax") or variable.endswith("_credit"):
+        return TargetCategory.TAX
+    if variable in _COUNT_ALL_VARIABLES:
+        return TargetCategory.DEMOGRAPHICS
+    return None
+
+
+def _entity_for_variable(variable: str) -> EntityType:
+    if variable in _COUNT_ENTITY_MAP:
+        return _COUNT_ENTITY_MAP[variable]
+    if variable in _TAX_UNIT_VARIABLES:
+        return EntityType.TAX_UNIT
+    if variable in _HOUSEHOLD_VARIABLES:
+        return EntityType.HOUSEHOLD
+    return EntityType.PERSON
+
+
+def _group_for_category(category: TargetCategory | None) -> str:
+    if category is None:
+        return "supabase_targets"
+    return f"supabase_{category.value}"
+
+
+def _units_for_target_type(target_type: str) -> str | None:
+    return "USD" if target_type == "amount" else None
+
+
+__all__ = [
+    "SUPABASE_JURISDICTION_KEY",
+    "SUPABASE_SOURCE_INSTITUTION_KEY",
+    "SUPABASE_STRATUM_NAME_KEY",
+    "SUPABASE_SUPPORTED_BY_COLUMN_MAP_KEY",
+    "SUPABASE_TARGET_ID_KEY",
+    "SUPABASE_TARGET_TYPE_KEY",
+    "SUPABASE_VARIABLE_KEY",
+    "SupabaseTargetLoader",
+    "SupabaseTargetProvider",
+]