79: Update mesido to 0.1.8.1

dev-requirements.txt

@@ -126,7 +126,7 @@ lxml==4.9.3
     #   pyecore
 mccabe==0.7.0
     # via flake8
-mesido==0.1.7
+mesido==0.1.8.1
     # via
     #   -c requirements.txt
     #   omotes-grow-worker (pyproject.toml)

pyproject.toml

@@ -25,7 +25,7 @@ requires-python = ">=3.10"
 
 dependencies = [
     "python-dotenv ~= 1.0.0",
-    "mesido ~= 0.1.7.0",
+    "mesido ~= 0.1.8.1",
     "omotes-sdk-python ~= 3.2.2"
 ]
 

requirements.txt

@@ -54,7 +54,7 @@ kombu==5.3.4
     # via celery
 lxml==4.9.3
     # via pyecore
-mesido==0.1.7
+mesido==0.1.8.1
     # via omotes-grow-worker (pyproject.toml)
 msgpack==1.0.5
     # via influxdb

src/grow_worker/worker_types.py

@@ -3,7 +3,7 @@
 
 from mesido.workflows import NetworkSimulatorHIGHSWeeklyTimeStep
 from mesido.workflows.grow_workflow import (
-    EndScenarioSizingDiscountedStagedHIGHS,
+    EndScenarioSizingDiscountedStaged,
     EndScenarioSizingHeadLossDiscountedStaged,
 )
 from mesido.workflows import (
@@ -27,7 +27,7 @@ class GrowTaskType(Enum):
 
 GROWProblem = Union[
     Type[EndScenarioSizingHeadLossDiscountedStaged],
-    Type[EndScenarioSizingDiscountedStagedHIGHS],
+    Type[EndScenarioSizingDiscountedStaged],
     Type[NetworkSimulatorHIGHSWeeklyTimeStep],
 ]
 
@@ -40,11 +40,11 @@ def get_problem_type(task_type: GrowTaskType) -> GROWProblem:
     """
     result: GROWProblem
     if task_type == GrowTaskType.GROW_OPTIMIZER_DEFAULT:
-        result = EndScenarioSizingDiscountedStagedHIGHS
+        result = EndScenarioSizingDiscountedStaged
     elif task_type == GrowTaskType.GROW_SIMULATOR:
         result = NetworkSimulatorHIGHSWeeklyTimeStep
     elif task_type == GrowTaskType.GROW_OPTIMIZER_NO_HEAT_LOSSES:
-        result = EndScenarioSizingDiscountedStagedHIGHS
+        result = EndScenarioSizingDiscountedStaged
     elif task_type == GrowTaskType.GROW_OPTIMIZER_WITH_PRESSURE:
         result = EndScenarioSizingHeadLossDiscountedStaged
     else:

unit_test/test_worker_types.py

@@ -2,7 +2,7 @@
 from grow_worker.worker_types import (
     get_problem_type,
     GrowTaskType,
-    EndScenarioSizingDiscountedStagedHIGHS,
+    EndScenarioSizingDiscountedStaged,
 )
 
 
@@ -15,5 +15,5 @@ def test__get_problem_type__is_correct_grow_optimizer(self) -> None:
         result = get_problem_type(task_type)
 
         # Assert
-        expected_result = EndScenarioSizingDiscountedStagedHIGHS
+        expected_result = EndScenarioSizingDiscountedStaged
         self.assertEqual(expected_result, result)