Balkendiagram.py

@@ -1,40 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-def create_barchart(barChartMonth, barChartData, color, image_folder_barcharts, image_filename):
-    barChartMonth.reverse()
-    barChartData.reverse()
-
-    max_wert = max(barChartData)
-    min_wert = min(barChartData)
-    skala = max_wert + max_wert * 0.1
-
-    plt.figure(figsize=(7, 3))
-    plt.bar(barChartMonth, barChartData, color=color)
-
-    plt.ylabel('Stromproduktion in Franken', fontsize=12)
-
-    plt.ylim(0, skala)
-
-    # Turn off the frame (border) around the graphic
-    ax = plt.gca()  # Get the current axis
-    ax.spines['top'].set_visible(False)
-    ax.spines['right'].set_visible(False)
-    ax.spines['bottom'].set_visible(False)
-
-    plt.xticks(barChartMonth)
-    # Set the x-axis limits to remove extra space on the right
-    # plt.xlim(barChartMonth[0], barChartMonth[-1])
-
-    plt.savefig(f"{image_folder_barcharts}{image_filename}", bbox_inches='tight')
-    plt.show()
-
-
-barChartMonth = [8, 7, 6, 5, 4, 3, 2, 1, 12, 11, 10, 9]
-barChartMonth = [str(item) for item in barChartMonth]
-
-barChartData=[612.9508602242413, 774.9497310367794, 905.1661458663121, 700.3920174038531, 455.8453881411557, 362.9725109507848, 243.91420489011418, 106.40652073925607, 98.73508056571949, 140.51124465669344, 293.31970563938467, 442.59112071461107]
-image_folder_barcharts = "barcharts/"
-image_filename = "test-file.png"
-color = "red"
-create_barchart(barChartMonth, barChartData, color, image_folder_barcharts, image_filename)

Sonnendach.py

@@ -1,6 +1,5 @@
 import tkinter
 import threading
-import matplotlib.pyplot as plt
 
 import selenium.webdriver.firefox.service
 import webdriver_manager.chrome
@@ -28,7 +27,7 @@ DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "coordinate
 file_split_char = ","
 minRoofSize = 2
 minSuitability = 3
-electricityPrice = 0.198
+electricityPrice = 0.1
 OptionList = []
 exit = False
 stopThread = False
@@ -68,15 +67,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
     image_folder_map = "screenshots_map/"
     image_folder_production = "screenshots_production/"
     image_folder_qrcode = "qrcodes/"
-    image_folder_barcharts = "barcharts/"
     if(not os.path.exists(image_folder_map[:-1])):
         os.makedirs(image_folder_map[:-1], exist_ok=False)
-    # if(not os.path.exists(image_folder_production[:-1])):
+    if(not os.path.exists(image_folder_production[:-1])):
-    #     os.makedirs(image_folder_production[:-1], exist_ok=False)
+        os.makedirs(image_folder_production[:-1], exist_ok=False)
     if (not os.path.exists(image_folder_qrcode[:-1])):
         os.makedirs(image_folder_qrcode[:-1], exist_ok=False)
-    if (not os.path.exists(image_folder_barcharts[:-1])):
-        os.makedirs(image_folder_barcharts[:-1], exist_ok=False)
 
     startTime = datetime.datetime.now()
     address_count = len(adress_list)
@@ -90,12 +86,9 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
         sumRoofArea = "not-found"
         featureId = "not-found"
         response_all_roofs_decoded = "not-found"
-        coordinates = ("not-found", "not-found")
         found = True
         line = adress_list[i]
         adress = line.split(file_split_char)
-        barChartMonth = [0] * 12
-        barChartData = [0] * 12
         if((line != adress_list[0]) and (adress[columnIndexes[6]] == "") and (((len(adress[columnIndexes[0]]) > 0) and (len(adress[columnIndexes[1]]) > 0) and (len(adress[columnIndexes[2]]) > 0) and (len(adress[columnIndexes[3]]) > 0)) or ((len(adress[columnIndexes[4]]) > 0) and (len(adress[columnIndexes[5]]) > 0)))):
             address_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
             print("searching for Address: " + address_string)
@@ -147,8 +140,9 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
                     response_one_roof = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/identify',
                                                      params=params)
                     response_one_roof_decoded = json.loads(response_one_roof.content.decode())
-                    # results = (response_one_roof_decoded['results'])
+                    results = (response_one_roof_decoded['results'])
-
+                    # for result in results:
+                    #     print(result)
                     building_id = (response_one_roof_decoded)['results'][0]['attributes']['building_id']
                 except:
                     found = False
@@ -172,18 +166,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
                         suitabilities = []
                         bestRoofEnergy = 0
                         bestRoof = response_all_roofs_decoded[0]
-                        barChartMonth = response_all_roofs_decoded[0]['attributes']['monate']
-                        barChartData = [0] * 12
                         for roof in response_all_roofs_decoded:
                             energy = float(roof['attributes']['gstrahlung'])*0.2*0.8
                             if(energy > bestRoofEnergy):
                                 bestRoofEnergy = energy
                                 bestRoof = roof
                             if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
-                                for month_count in range(12):
-                                    barChartData[month_count] = barChartData[month_count] + float(
-                                        roof['attributes']['monats_ertrag'][month_count]) * float(
-                                        roof['attributes']['flaeche']) * electricityPrice
                                 sumEnergyRoofs = sumEnergyRoofs + energy
                                 sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche'])
                                 suitabilities.append(int(roof['attributes']['klasse']))
@@ -215,7 +203,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
                 repsonse_solar_panel = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find',
                                                     params=params)
                 repsonse_solar_panel_decoded = json.loads(repsonse_solar_panel.content.decode())
-
+                print(repsonse_solar_panel_decoded)
                 results = (repsonse_solar_panel_decoded['results'])
                 if(len(results) > 0):
                     existing_solar_panel_power = results[0]['attributes']['total_power']
@@ -226,21 +214,8 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
 
             if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)):
                 image_filename = address_string + ".png"
-
+                create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode,
-                barchart_color = ""
+                              url)
-                if(suitability == 1):
-                    barchart_color = "#00c5ff"
-                elif(suitability == 2):
-                    barchart_color = "#ffff00"
-                elif(suitability == 3):
-                    barchart_color = "#ffaa00"
-                elif(suitability == 4):
-                    barchart_color = "#ff5500"
-                elif(suitability == 5):
-                    barchart_color = "#a80000"
-
-                create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, image_folder_barcharts,
-                              url, barChartMonth, barChartData, barchart_color)
 
             else:
                 image_filename = "not-created"
@@ -349,7 +324,7 @@ def create_roof_info(roofs):
         info_text = info_text + str(i + 1) + ". Fläche\n" + "Potenzielle Energie: " + str(roofs[i]['attributes']['gstrahlung']*0.2*0.8) + "\nFläche: " + str(roofs[i]['attributes']['flaeche']) + "\nEignung: " + str(roofs[i]['attributes']['klasse']) + " (" + str(roofs[i]['attributes']['klasse_text']).split("##")[0] + ")\n\n"
     return info_text
 
-def create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, image_folder_barcharts, url, barChartMonth, barChartData, barchart_color):
+def create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, url):
     driver.get(url)
     time.sleep(2)
 
@@ -384,54 +359,22 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag
         image_folder_map + image_filename)
 
     # Create Screenshot of Chart
-    # try:
-    #     chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
-    #     location = chartElement.location
-    #     size = chartElement.size
-    #     x = location["x"]
-    #     y = location["y"]
-    #     w = x + size["width"]
-    #     h = size["height"]
-    #     area = (x, 0, w, h)
-    #     driver.execute_script("window.scrollTo(0, " + str(y) + ")")
-    #
-    #     time.sleep(1)
-    #     driver.save_screenshot(image_folder_production + image_filename)
-    #     time.sleep(0.2)
-    #     Image.open(image_folder_production + image_filename).crop(area).save(
-    #         image_folder_production + image_filename)
-    # except:
-    #     pass
-
-    # Create barchar with matplotlib.pyplot
     try:
-        barChartMonth.reverse()
+        chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
-        barChartMonth = [str(item) for item in barChartMonth]
+        location = chartElement.location
-        barChartData.reverse()
+        size = chartElement.size
-
+        x = location["x"]
-        max_wert = max(barChartData)
+        y = location["y"]
-        min_wert = min(barChartData)
+        w = x + size["width"]
-        skala = max_wert + max_wert * 0.1
+        h = size["height"]
-
+        area = (x, 0, w, h)
-        plt.figure(figsize=(7, 3))
+        driver.execute_script("window.scrollTo(0, " + str(y) + ")")
-        plt.bar(barChartMonth, barChartData, color=barchart_color)
-
-        plt.ylabel('Stromproduktion in Franken', fontsize=12)
-
-        plt.ylim(0, skala)
-
-        # Turn off the frame (border) around the graphic
-        ax = plt.gca()  # Get the current axis
-        ax.spines['top'].set_visible(False)
-        ax.spines['right'].set_visible(False)
-        ax.spines['bottom'].set_visible(False)
-
-        plt.xticks(barChartMonth)
-        # Set the x-axis limits to remove extra space on the right
-        # plt.xlim(barChartMonth[0], barChartMonth[-1])
-
-        plt.savefig(f"{image_folder_barcharts}{image_filename}", bbox_inches='tight')
 
+        time.sleep(1)
+        driver.save_screenshot(image_folder_production + image_filename)
+        time.sleep(0.2)
+        Image.open(image_folder_production + image_filename).crop(area).save(
+            image_folder_production + image_filename)
     except:
         pass
 

api-Test.py

@@ -2,7 +2,7 @@
 import json
 import requests
 
-search_string = "Mattenweg 29 5600 Lenzburg"
+search_string = "Toggenburgstrasse 31 8245 Feuerthalen"
 
 #Address to coordinates
 params={
@@ -54,6 +54,4 @@ response_all_roofs = requests.get('https://api3.geo.admin.ch/rest/services/api/M
 response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['results']
 for roof in response_all_roofs_decoded:
     # print(roof['attributes'].keys())
-    print("URL:", "https://www.uvek-gis.admin.ch/BFE/sonnendach/index.html?featureId=" + str(roof['featureId']) + "&lang=de", "Fläche:", roof['attributes']['flaeche'], "Eignung(1-5):", roof['attributes']['klasse'], "PV100:", float(roof['attributes']['gstrahlung']*0.2*0.8))
+    print("URL:", "https://www.uvek-gis.admin.ch/BFE/sonnendach/index.html?featureId=" + str(roof['featureId']) + "&lang=de", "Fläche:", roof['attributes']['flaeche'], "Eignung(1-5):", roof['attributes']['klasse'], "PV100:", float(roof['attributes']['gstrahlung']*0.2*0.8))
-
-    print(roof)