download exp_demo_h5 from api

Author: emanuel-schmid

climada/engine/unsequa/test/test_unsequa.py

@@ -41,22 +41,18 @@
 from climada.entity import Exposures, ImpactFunc, ImpactFuncSet
 from climada.entity.entity_def import Entity
 from climada.hazard import Hazard
-from climada.util.api_client import Client
+from climada.test import get_test_file
 from climada.util.constants import (
     ENT_DEMO_FUTURE,
     ENT_DEMO_TODAY,
-    EXP_DEMO_H5,
     HAZ_DEMO_H5,
     TEST_UNC_OUTPUT_COSTBEN,
     TEST_UNC_OUTPUT_IMPACT,
 )
 
-test_unc_output_impact = Client().get_dataset_file(
-    name=TEST_UNC_OUTPUT_IMPACT, status="test_dataset"
-)
-test_unc_output_costben = Client().get_dataset_file(
-    name=TEST_UNC_OUTPUT_COSTBEN, status="test_dataset"
-)
+EXP_DEMO_H5 = get_test_file("exp_demo_today", file_format="hdf5")
+test_unc_output_impact = get_test_file(TEST_UNC_OUTPUT_IMPACT)
+test_unc_output_costben = get_test_file(TEST_UNC_OUTPUT_COSTBEN)
 
 
 def impf_dem(x_paa=1, x_mdd=1):

climada/entity/measures/test/test_base.py

@@ -36,10 +36,12 @@
 from climada.entity.measures.measure_set import MeasureSet
 from climada.hazard.base import Hazard
 from climada.test import get_test_file
-from climada.util.constants import EXP_DEMO_H5, HAZ_DEMO_H5
+from climada.util.constants import HAZ_DEMO_H5
 
 DATA_DIR = CONFIG.measures.test_data.dir()
 
+EXP_DEMO_H5 = get_test_file("exp_demo_today", file_format="hdf5")
+
 HAZ_TEST_TC: Path = get_test_file("test_tc_florida", file_format="hdf5")
 """
 Hazard test file from Data API: Hurricanes from 1851 to 2011 over Florida with 100 centroids.

climada/test/test_api_client.py

@@ -177,14 +177,14 @@ def test_get_exposures(self):
                 "fin_mode": "pop",
                 "exponents": "(0,1)",
             },
-            version="v1",
+            version="v3",
             dump_dir=DATA_DIR,
         )
         self.assertEqual(len(exposures.gdf), 5782)
         self.assertEqual(np.unique(exposures.region_id), 40)
         self.assertEqual(
             exposures.description,
-            "LitPop Exposure for ['AUT'] at 150 as, year: 2018, financial mode: pop, exp: [0, 1], admin1_calc: False",
+            "LitPop Exposure for ['AUT'] at 150 as, year: 2018, financial mode: pop, exp: (0, 1), admin1_calc: False",
         )
 
     def test_get_exposures_fails(self):
@@ -264,12 +264,12 @@ def test_get_hazard_fails(self):
 
     def test_get_litpop(self):
         client = Client()
-        litpop = client.get_litpop(country="LUX", version="v1", dump_dir=DATA_DIR)
+        litpop = client.get_litpop(country="LUX", version="v3", dump_dir=DATA_DIR)
         self.assertEqual(len(litpop.gdf), 188)
         self.assertEqual(np.unique(litpop.region_id), 442)
         self.assertEqual(
             litpop.description,
-            "LitPop Exposure for ['LUX'] at 150 as, year: 2018, financial mode: pc, exp: [1, 1], admin1_calc: False",
+            "LitPop Exposure for ['LUX'] at 150 as, year: 2018, financial mode: pc, exp: (1, 1), admin1_calc: False",
         )
 
     def test_get_litpop_fail(self):

climada/test/test_engine.py

@@ -34,14 +34,15 @@
 from climada.entity import Exposures, ImpactFunc, ImpactFuncSet
 from climada.entity.entity_def import Entity
 from climada.hazard import Hazard
+from climada.test import get_test_file
 from climada.util.constants import (
     ENT_DEMO_FUTURE,
     ENT_DEMO_TODAY,
-    EXP_DEMO_H5,
     HAZ_DEMO_H5,
 )
 
 DATA_DIR = CONFIG.engine.test_data.dir()
+EXP_DEMO_H5 = get_test_file("exp_demo_today", file_format="hdf5")
 EMDAT_TEST_CSV = DATA_DIR.joinpath("emdat_testdata_BGD_USA_1970-2017.csv")