Merge branch 'main' into HEA-592/Inventory-dashboard

apps/baseline/models.py

@@ -1099,7 +1099,7 @@ class LivelihoodActivity(common_models.Model):
     quantity_sold = models.PositiveIntegerField(blank=True, null=True, verbose_name=_("Quantity Sold/Exchanged"))
     quantity_other_uses = models.PositiveIntegerField(blank=True, null=True, verbose_name=_("Quantity Other Uses"))
     # Can normally be calculated / validated as `quantity_produced + quantity_purchased - quantity_sold - quantity_other_uses`  # NOQA: E501
-    # but there are exceptions, such as MilkProduction, where there is also an amount used for ButterProduction
+    # but there are exceptions, such as MilkProduction, where there is also an amount used for ButterProduction, is this captured quantity_other_uses?  # NOQA: E501
     quantity_consumed = models.PositiveIntegerField(blank=True, null=True, verbose_name=_("Quantity Consumed"))
 
     price = models.FloatField(
@@ -1116,7 +1116,7 @@ class LivelihoodActivity(common_models.Model):
     # of external goods or services.
     expenditure = models.FloatField(blank=True, null=True, help_text=_("Expenditure"))
 
-    # Can normally be calculated  / validated as `quantity_consumed` * `kcals_per_unit`
+    # Can normally be calculated  / validated as `quantity_consumed` * `livelihoodstrategy__product__kcals_per_unit`
     kcals_consumed = models.PositiveIntegerField(
         blank=True,
         null=True,

apps/baseline/serializers.py

@@ -1,7 +1,11 @@
+from django.db.models import Sum
+from django.utils import translation
+from rest_framework import fields as rest_framework_fields
 from rest_framework import serializers
 from rest_framework_gis.serializers import GeoFeatureModelSerializer
 
 from common.fields import translation_fields
+from metadata.models import LivelihoodStrategyType
 
 from .models import (
     BaselineLivelihoodActivity,
@@ -1466,3 +1470,175 @@ def get_strategy_label(self, obj):
 
     def get_wealth_group_label(self, obj):
         return str(obj.wealth_group)
+
+
+class DictQuerySetField(rest_framework_fields.SerializerMethodField):
+    def __init__(self, field_name=None, **kwargs):
+        self.field_name = field_name
+        super().__init__(**kwargs)
+
+    def to_representation(self, obj):
+        return self.parent.get_field(obj, self.field_name)
+
+
+class LivelihoodZoneBaselineReportSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = LivelihoodZoneBaseline
+        fields = (
+            "id",
+            "name",
+            "description",
+            "source_organization",
+            "source_organization_name",
+            "livelihood_zone",
+            "livelihood_zone_name",
+            "country_pk",
+            "country_iso_en_name",
+            "main_livelihood_category",
+            "bss",
+            "currency",
+            "reference_year_start_date",
+            "reference_year_end_date",
+            "valid_from_date",
+            "valid_to_date",  # to display "is latest" / "is historic" in the UI for each ref yr
+            "population_source",
+            "population_estimate",
+            "livelihoodzone_pk",
+            "livelihood_strategy_pk",
+            "strategy_type",
+            "livelihood_activity_pk",
+            "wealth_group_category_code",
+            "population_estimate",
+            "slice_sum_kcals_consumed",
+            "sum_kcals_consumed",
+            "kcals_consumed_percent",
+            "product_cpc",
+            "product_common_name",
+        )
+
+    # For each of these aggregates the following calculation columns are added:
+    #   (a) Total at the LZB level (filtered by population, wealth group, etc), eg, sum_kcals_consumed.
+    #   (b) Total for the selected product/strategy type slice, eg, slice_sum_kcals_consumed.
+    #   (c) The percentage the slice represents of the whole, eg, kcals_consumed_percent.
+    # Filters are automatically created, eg, min_kcals_consumed_percent and max_kcals_consumed_percent.
+    # If no ordering is specified by the FilterSet, the results are ordered by percent descending in the order here.
+    aggregates = {
+        "kcals_consumed": Sum,
+    }
+
+    # For each of these pairs, a URL parameter is created "slice_{field}", eg, ?slice_product=
+    # They can appear zero, one or multiple times in the URL, and define a sub-slice of the row-level data.
+    # A slice includes activities with ANY of the products, AND, ANY of the strategy types.
+    # For example: (product=R0 OR product=L0) AND (strategy_type=MilkProd OR strategy_type=CropProd)
+    slice_fields = {
+        "product": "livelihood_strategies__product__cpc__istartswith",
+        "strategy_type": "livelihood_strategies__strategy_type__iexact",
+    }
+
+    livelihood_zone_name = DictQuerySetField("livelihood_zone_name")
+    source_organization_name = DictQuerySetField("source_organization_pk")
+    country_pk = DictQuerySetField("country_pk")
+    country_iso_en_name = DictQuerySetField("country_iso_en_name")
+    livelihoodzone_pk = DictQuerySetField("livelihoodzone_pk")
+    livelihood_strategy_pk = DictQuerySetField("livelihood_strategy_pk")
+    livelihood_activity_pk = DictQuerySetField("livelihood_activity_pk")
+    wealth_group_category_code = DictQuerySetField("wealth_group_category_code")
+    id = DictQuerySetField("id")
+    name = DictQuerySetField("name")
+    description = DictQuerySetField("description")
+    source_organization = DictQuerySetField("source_organization")
+    livelihood_zone = DictQuerySetField("livelihood_zone")
+    main_livelihood_category = DictQuerySetField("main_livelihood_category")
+    bss = DictQuerySetField("bss")
+    currency = DictQuerySetField("currency")
+    reference_year_start_date = DictQuerySetField("reference_year_start_date")
+    reference_year_end_date = DictQuerySetField("reference_year_end_date")
+    valid_from_date = DictQuerySetField("valid_from_date")
+    valid_to_date = DictQuerySetField("valid_to_date")
+    population_source = DictQuerySetField("population_source")
+    population_estimate = DictQuerySetField("population_estimate")
+    product_cpc = DictQuerySetField("product_cpc")
+    product_common_name = DictQuerySetField("product_common_name")
+    strategy_type = DictQuerySetField("strategy_type")
+
+    slice_sum_kcals_consumed = DictQuerySetField("slice_sum_kcals_consumed")
+    sum_kcals_consumed = DictQuerySetField("sum_kcals_consumed")
+    kcals_consumed_percent = DictQuerySetField("kcals_consumed_percent")
+
+    def get_fields(self):
+        """
+        User can specify fields= parameter to specify a field list, comma-delimited.
+
+        If the fields parameter is not passed or does not match fields, defaults to self.Meta.fields.
+
+        The aggregated fields self.aggregates are added regardless of user field selection.
+        """
+        field_list = "request" in self.context and self.context["request"].query_params.get("fields", None)
+        if not field_list:
+            return super().get_fields()
+
+        # User-provided list of fields
+        field_names = set(field_list.split(","))
+
+        # Add the aggregates that are always returned
+        for field_name, aggregate in self.aggregates.items():
+            field_names |= {
+                field_name,
+                self.aggregate_field_name(field_name, aggregate),
+                self.slice_aggregate_field_name(field_name, aggregate),
+                self.slice_percent_field_name(field_name, aggregate),
+            }
+
+        # Add the ordering field if specified
+        ordering = self.context["request"].query_params.get("ordering")
+        if ordering:
+            field_names.add(ordering)
+
+        # Remove any that don't match a field as a dict
+        return {k: v for k, v in super().get_fields().items() if k in field_names}
+
+    def get_field(self, obj, field_name):
+        """
+        Aggregated querysets are a list of dicts.
+        This is called by AggregatedQuerysetField to get the value from the row dict.
+        """
+        db_field = self.field_to_database_path(field_name)
+        value = obj.get(db_field, "")
+        # Get the readable, translated string from the choice key.
+        if field_name == "strategy_type" and value:
+            return dict(LivelihoodStrategyType.choices).get(value, value)
+        return value
+
+    @staticmethod
+    def field_to_database_path(field_name):
+        language_code = translation.get_language()
+        return {
+            "livelihoodzone_pk": "pk",
+            "name": f"name_{language_code}",
+            "description": f"description_{language_code}",
+            "valid_to_date": "valid_to_date",
+            "livelihood_strategy_pk": "livelihood_strategies__pk",
+            "livelihood_activity_pk": "livelihood_strategies__livelihoodactivity__pk",
+            "wealth_group_category_code": "livelihood_strategies__livelihoodactivity__wealth_group__wealth_group_category__code",  # NOQA: E501
+            "kcals_consumed": "livelihood_strategies__livelihoodactivity__kcals_consumed",
+            "livelihood_zone_name": f"livelihood_zone__name_{language_code}",
+            "source_organization_pk": "source_organization__pk",
+            "source_organization_name": "source_organization__name",
+            "country_pk": "livelihood_zone__country__pk",
+            "country_iso_en_name": "livelihood_zone__country__iso_en_name",
+            "product_cpc": "livelihood_strategies__product",
+            "strategy_type": "livelihood_strategies__strategy_type",
+            "product_common_name": f"livelihood_strategies__product__common_name_{language_code}",
+        }.get(field_name, field_name)
+
+    @staticmethod
+    def aggregate_field_name(field_name, aggregate):
+        return f"{aggregate.name.lower()}_{field_name}"  # eg, sum_kcals_consumed
+
+    @staticmethod
+    def slice_aggregate_field_name(field_name, aggregate):
+        return f"slice_{aggregate.name.lower()}_{field_name}"  # eg, slice_sum_kcals_consumed
+
+    @staticmethod
+    def slice_percent_field_name(field_name, aggregate):
+        return f"{field_name}_percent"  # eg, kcals_consumed_percent