Merge pull request #9 from TheGabeMan/BasicHouseUsage

Basic House Usage toegevoegd

README.md

@@ -47,6 +47,7 @@ This project makes use of the following other projects:
 - [Forecast.Solar by Knut Kohl](https://forecast.solar/) Though the use of his API is for free, please reward the maker by signing up for the 'personal' plan or use the 'buy me a coffee' button on the website.
 
 
-# Breaking changes
+# Changes
 - March 22nd, 2023: Added TIMEZONE=Europe/Amsterdam to the .env, you should add this as well (with your timezone) to prevent the script from failing.
 - April 21st, 2023: Added TMPIMAGEPATH=/home/OptimalEnergyUser to the .env. This points to the temp directory for the image generated. If not specified it will use the directory of the script.
+- April 21st, 2023: Show the BASICHOUSEUSAGEWATT (Basic House Usage in WATT) in the image as third graph

example.env

@@ -7,4 +7,5 @@ DEC=25
 AZI=40
 KWP=4.4
 TIMEZONE=Europe/Amsterdam
-TMPIMAGEPATH=/home/OptimalEnergyUser
+TMPIMAGEPATH=/home/OptimalEnergyUser
+BASICHOUSEUSAGEWATT=400

main.py

@@ -43,8 +43,6 @@ def main():
     image_name = tmp_image_path + "{}{:-%Y%m%d%H%M%S}.jpeg".format(
         str(uuid.uuid4().hex), datetime.datetime.now()
     )
-    print( tmp_image_path)
-    print( image_name )
     plt.savefig(image_name, format="png", dpi=300)
 
     # Send to Telegram

plotgraph.py

@@ -11,6 +11,10 @@
 def create_plot(combined_list):
     """Generate the data for the Graph"""
     forecast_kwp = float(os.getenv("KWP")) * 1000
+    if float( os.getenv("BASICHOUSEUSAGEWATT")) > 0:
+        basic_house_usage = float(os.getenv("BASICHOUSEUSAGEWATT"))
+    else:
+        basic_house_usage = 0
 
     rows = len(combined_list)
     prices = combined_list[0 : rows + 1, 1:2]
@@ -38,6 +42,8 @@ def create_plot(combined_list):
     ax2.set_ylim(ymax=forecast_kwp, ymin=0)
     ax2.legend()
 
+    plt.axhline(basic_house_usage,xmin=0, xmax=forecast_kwp, color="orange" )
+    ax2.plot(basic_house_usage, color="orange", label="Basic House Usage in Watt")
     plt.title("Forecast for " + forecastdate)
     plt.legend(loc="upper left")