server/floris_module/src/FlorisULSTU.py

@@ -1,3 +1,4 @@
+import math
 import os.path
 import sys
 import uuid
@@ -54,14 +55,24 @@ class FlorisULSTU(FlorisModel):
         super().set(**kwargs)
 
     def visualisation(self):
+        wind_dirs = self.core.flow_field.wind_directions
+        wind_speeds = self.core.flow_field.wind_speeds
 
+        experiment_counts = len(wind_dirs)
+        near_square = math.ceil(math.sqrt(experiment_counts))
+        fig, axarr = plt.subplots(near_square, near_square, figsize=(15,8))
+        axarr = axarr.flatten()
 
-        self.reset_operation()
+        for experiment_count in range(experiment_counts):
-
+            self.reset_operation()
-        horizontal_plane = self.calculate_horizontal_plane(height=90.0)
+            self.set(wind_speeds=[wind_speeds[0]], wind_directions=[wind_dirs[0]], turbulence_intensities=[0.05])
-        visualize_cut_plane(
+            ax = axarr[experiment_count]
-            horizontal_plane,
+            horizontal_plane = self.calculate_horizontal_plane(height=90.0)
-        )
+            visualize_cut_plane(
+                horizontal_plane,
+                ax=ax,
+                title=f"Wind flow day {experiment_count + 1}",
+            )
 
         # plot_turbine_labels(self, axarr[0, 0])
         filename = str(uuid.uuid4()) + ".png"

server/floris_module/src/OpenMeteoClient.py

@@ -17,7 +17,7 @@ class OpenMeteoClient:
         params = {
             "latitude": latitude,
             "longitude": longitude,
-            "hourly": ["wind_speed_10m", "wind_direction_10m"],
+            "daily": ["wind_speed_10m_max", "wind_direction_10m_dominant"],
             "timezone": self.timezone,
             "start_date": start_date,
             "end_date": end_date
@@ -27,13 +27,13 @@ class OpenMeteoClient:
 
     def process_response(self, response):
         # Process hourly data
-        hourly = response.Hourly()
+        daily = response.Daily()
-        hourly_wind_speed_10m = hourly.Variables(0).ValuesAsNumpy()
+        daily_wind_speed_10m = daily.Variables(0).ValuesAsNumpy()
-        hourly_wind_direction_10m = hourly.Variables(1).ValuesAsNumpy()
+        daily_wind_direction_10m = daily.Variables(1).ValuesAsNumpy()
 
-        return hourly_wind_speed_10m.tolist(), hourly_wind_direction_10m.tolist()
+        return daily_wind_speed_10m.tolist(), daily_wind_direction_10m.tolist()
 
-    def get_weather_info(self, latitude, longitude, start_date, end_date):
+    def get_weather_info(self, start_date, end_date, latitude=54.35119762746125, longitude=48.389356992149345):
         responses = self.fetch_weather_data(latitude, longitude, start_date, end_date)
         response = responses[0]
         self.process_response(response)

server/src/data/schemas.py

@@ -1,5 +1,4 @@
 from datetime import date
-
 from pydantic import BaseModel, Field
 from fastapi import Query
 
@@ -19,4 +18,4 @@ class SFlorisInputParams(BaseModel):
 
 class SFlorisOutputData(BaseModel):
     file_name: str
-    data: list[float]
+    data: object

server/src/routers/floris_router.py

@@ -14,6 +14,7 @@ sys.path.append(str(Path(__file__).parent.parent.parent))
 from floris_module.src import FlorisULSTU
 from floris_module.src.OpenMeteoClient import OpenMeteoClient
 
+
 FLORIS_IMAGES_PATH = Path(__file__).parent.parent.parent / "public" / "floris"
 
 router = APIRouter(
@@ -36,13 +37,9 @@ async def get_windmill_data(
 
     client = OpenMeteoClient()
 
-    wind_directions = list()
+    climate_info = client.get_weather_info(data.date_start, data.date_end)
-    wind_speeds = list()
+    wind_speeds = climate_info[0]
-
+    wind_directions = climate_info[1]
-    for i in range(len(data.layout_x)):
-        i_result = client.get_weather_info(data.layout_x[i], data.layout_y[i], data.date_start, data.date_end)
-        wind_speeds.extend(i_result[0])
-        wind_directions.extend(i_result[1])
 
     fmodel.set(
         layout_x=data.layout_x,
@@ -54,12 +51,12 @@ async def get_windmill_data(
 
     fmodel.run()
 
-    data = fmodel.get_turbine_powers()[0].tolist()
+    res = fmodel.get_turbine_powers().tolist()
     file_name = fmodel.visualisation()
 
     return SFlorisOutputData(
         file_name=file_name,
-        data=data
+        data=res
     )