merge validation to main

energy_models/tests/l0_test_compute_el_wind_onshore.py

@@ -73,8 +73,6 @@ def setUp(self):
         self.biblio_data = pd.read_csv(biblio_data_path)
         self.biblio_data = self.biblio_data.loc[self.biblio_data['sos_name']
                                                 == f'{GlossaryEnergy.electricity}.Wind_Onshore']
-        self.scaling_factor_techno_consumption = 1e3
-        self.scaling_factor_techno_production = 1e3
         demand_ratio_dict = dict(
             zip(EnergyMix.energy_list, np.ones((len(self.years), len(self.years)))))
         demand_ratio_dict[GlossaryEnergy.Years] = self.years
@@ -126,6 +124,13 @@ def test_03_wind_on_shore_discipline(self):
         power_production = disc.get_sosdisc_outputs(GlossaryEnergy.InstalledPower)
         techno_infos_dict = disc.get_sosdisc_inputs('techno_infos_dict')
 
+        drop_pickle = True
+        if drop_pickle:
+            import pickle
+            with open('windtest.pkl','wb') as f:
+                pickle.dump(self.ee.dm.get_data_dict_values(), f)
+                pass
+
         self.assertLessEqual(list(production_detailed[f'{GlossaryEnergy.electricity} ({GlossaryEnergy.energy_unit})'].values),
                              list(power_production['total_installed_power'] * techno_infos_dict[
                                  'full_load_hours'] / 1000 * 1.001))
@@ -134,7 +139,7 @@ def test_03_wind_on_shore_discipline(self):
                                     'full_load_hours'] / 1000 * 0.999))
         filters = disc.get_chart_filter_list()
         graph_list = disc.get_post_processing_list(filters)
-#         for graph in graph_list:
-#             graph.to_plotly().show()
+        for graph in graph_list:
+            graph.to_plotly().show()
 # if __name__ == "__main__":
 #     unittest.main()