Updated to use pytest to check the summary matches the expected values

divert_sim/requirements.txt

@@ -0,0 +1 @@
+pytest

divert_sim/run_tests.py → divert_sim/test_divert.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 # PYTHON_ARGCOMPLETE_OK
 
-from os import EX_OK, path
+from os import path
 from subprocess import PIPE, Popen
 from datetime import datetime
 
@@ -20,7 +20,18 @@
 OPENEVSE_STATE_SLEEPING = 4
 OPENEVSE_STATE_DISABLED = 5
 
-def divert_test(summary_file, dataset: str, config: bool = False, grid_ie_col: bool = False,
+KWH_ROUNDING = 2
+
+def run_test_with_dataset(summary_file, dataset: str,
+                expected_solar_kwh:  float,
+                expected_ev_kwh : float,
+                expected_kwh_from_solar : float,
+                expected_kwh_from_grid : float,
+                expected_number_of_charges: int,
+                expected_min_time_charging: int,
+                expected_max_time_charging: int,
+                expected_total_time_charging: int,
+                config: bool = False, grid_ie_col: bool = False,
                 solar_col: bool = False, voltage_col: bool = False,
                 separator: str = ',', is_kw: bool = False) -> None:
     """Run the divert_sim process on the given dataset and return the results"""
@@ -120,29 +131,52 @@ def divert_test(summary_file, dataset: str, config: bool = False, grid_ie_col: b
 
         summary_file.write(f'"{dataset}",{solar_kwh},{ev_kwh},{kwh_from_solar},{kwh_from_grid},{number_of_charges},{min_time_charging},{max_time_charging},{total_time_charging}\n')
 
+        assert round(solar_kwh, KWH_ROUNDING) == expected_solar_kwh
+        assert round(ev_kwh, KWH_ROUNDING) == expected_ev_kwh
+        assert round(kwh_from_solar, KWH_ROUNDING) == expected_kwh_from_solar
+        assert round(kwh_from_grid, KWH_ROUNDING) == expected_kwh_from_grid
+        assert number_of_charges == expected_number_of_charges
+        assert min_time_charging == expected_min_time_charging
+        assert max_time_charging == expected_max_time_charging
+        assert total_time_charging == expected_total_time_charging
 
-def main() -> int:
+
+def test_divert() -> None:
     """Run the divert_sim process on all the datasets in the data directory"""
     with open(path.join('output', 'summary.csv'), 'w', encoding="utf-8") as summary_file:
         summary_file.write('"Dataset","Total Solar (kWh)","Total EV Charge (kWh)","Charge from solar (kWh)","Charge from grid (kWh)","Number of charges","Min time charging","Max time charging","Total time charging"\n')
-        divert_test(summary_file, 'almostperfect')
-        divert_test(summary_file, 'CloudyMorning')
-        divert_test(summary_file, 'day1')
-        divert_test(summary_file, 'day2')
-        divert_test(summary_file, 'day3')
-        divert_test(summary_file, 'day1_grid_ie', grid_ie_col=2)
-        divert_test(summary_file, 'day2_grid_ie', grid_ie_col=2)
-        divert_test(summary_file, 'day3_grid_ie', grid_ie_col=2)
-        divert_test(summary_file, 'solar-vrms', voltage_col=2)
-        divert_test(summary_file, 'Energy_and_Power_Day_2020-03-22', separator=';',
-                    is_kw=True, config='{"divert_decay_smoothing_factor":0.4}')
-        divert_test(summary_file, 'Energy_and_Power_Day_2020-03-31', separator=';',
-                    is_kw=True, config='{"divert_decay_smoothing_factor":0.4}')
-        divert_test(summary_file, 'Energy_and_Power_Day_2020-04-01', separator=';',
-                    is_kw=True, config='{"divert_decay_smoothing_factor":0.4}')
-
-    return EX_OK
+        run_test_with_dataset(summary_file, 'almostperfect',
+                    21.08, 17.24, 17.05, 0.19, 1, 30060, 30060, 30060)
+        run_test_with_dataset(summary_file, 'CloudyMorning',
+                    16.64, 13.03, 12.67, 0.36, 1, 22200, 22200, 22200)
+        run_test_with_dataset(summary_file, 'day1',
+                    10.12, 7.48, 6.71, 0.77, 5, 660, 10080, 13740)
+        run_test_with_dataset(summary_file, 'day2',
+                    12.35, 9.88, 9.86, 0.02, 1, 19920, 19920, 19920)
+        run_test_with_dataset(summary_file, 'day3',
+                    5.09, 2.22, 1.60, 0.62, 5, 660, 2400, 5340)
+        run_test_with_dataset(summary_file, 'day1_grid_ie',
+                    15.13, 8.83, 8.47, 0.36, 5, 660, 7800, 19860,
+                    grid_ie_col=2)
+        run_test_with_dataset(summary_file, 'day2_grid_ie',
+                    10.85, 7.66, 6.16, 1.50, 10, 420, 7980, 16260,
+                    grid_ie_col=2)
+        run_test_with_dataset(summary_file, 'day3_grid_ie',
+                    12.13, 6.32, 6.27, 0.05, 2, 3660, 9840, 13500,
+                    grid_ie_col=2)
+        run_test_with_dataset(summary_file, 'solar-vrms',
+                    13.85, 12.26, 12.10, 0.17, 1, 22080, 22080, 22080,
+                    voltage_col=2)
+        run_test_with_dataset(summary_file, 'Energy_and_Power_Day_2020-03-22',
+                    41.87, 38.52, 38.41, 0.11, 1, 28800, 28800, 28800,
+                    separator=';', is_kw=True, config='{"divert_decay_smoothing_factor":0.4}')
+        run_test_with_dataset(summary_file, 'Energy_and_Power_Day_2020-03-31',
+                    23.91, 18.78, 18.66, 0.12, 1, 22500, 22500, 22500,
+                    separator=';', is_kw=True, config='{"divert_decay_smoothing_factor":0.4}')
+        run_test_with_dataset(summary_file, 'Energy_and_Power_Day_2020-04-01',
+                    38.89, 36.72, 36.41, 0.32, 1, 27000, 27000, 27000,
+                    separator=';', is_kw=True, config='{"divert_decay_smoothing_factor":0.4}')
 
 if __name__ == '__main__':
     # Run the script
-    exit(main())
+    test_divert()