Conso by determinant export table mapper

diagnostic_word/renderers.py

@@ -16,6 +16,9 @@
 from public_data.domain.impermeabilisation.difference.ImpermeabilisationDifferenceService import (
     ImpermeabilisationDifferenceService,
 )
+from public_data.infra.consommation.progression.export.ConsoByDeterminantExportTableMapper import (
+    ConsoByDeterminantExportTableMapper,
+)
 from public_data.infra.consommation.progression.export.ConsoComparisonExportTableMapper import (
     ConsoComparisonExportTableMapper,
 )
@@ -197,7 +200,15 @@ def get_context_data(self) -> Dict[str, Any]:
                 series=annual_total_conso_chart.get_series(), line=False
             ),
             "communes_data_table": add_total_line_column(chart_conso_cities.get_series()),
-            "determinants_data_table": add_total_line_column(det_chart.get_series()),
+            "determinants_data_table": ConsoByDeterminantExportTableMapper.map(
+                consommation_progression=PublicDataContainer.consommation_progression_service()
+                .get_by_land(
+                    land=diagnostic.land_proxy,
+                    start_date=int(diagnostic.analyse_start_date),
+                    end_date=int(diagnostic.analyse_end_date),
+                )
+                .consommation
+            ),
             # Target 2031
             "target_2031_consumed": target_2031_consumption,
             "projection_zan_cumulee_ref": round(objective_chart.total_2020, 1),

public_data/infra/consommation/progression/export/ConsoByDeterminantExportTableMapper.py

@@ -0,0 +1,36 @@
+from public_data.domain.consommation.entity import ConsommationCollection
+
+
+class ConsoByDeterminantExportTableMapper:
+    @staticmethod
+    def map(consommation_progression: list[ConsommationCollection]):
+        category_to_attr = {
+            "Habitat": "habitat",
+            "Activité": "activite",
+            "Mixte": "mixte",
+            "Route": "route",
+            "Ferré": "ferre",
+            "Inconnu": "non_reseigne",
+            "Total": "total",
+        }
+
+        headers = [str(conso.year) for conso in consommation_progression] + ["Total"]
+
+        rows = []
+        for category in category_to_attr:
+            category_values = [getattr(conso, category_to_attr[category]) for conso in consommation_progression]
+            category_total = sum(category_values)
+            # On arrondit ensuite pour ne pas fausser le total
+            category_values_rounded = [round(value, 2) for value in category_values]
+            category_total_rounded = round(category_total, 2)
+            rows.append(
+                {
+                    "name": category,
+                    "data": category_values_rounded + [category_total_rounded],
+                }
+            )
+
+        return {
+            "headers": headers,
+            "rows": rows,
+        }