creating Barchart instead of Screenshot

Balkendiagram.py

@@ -0,0 +1,40 @@
+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

@@ -1,5 +1,6 @@
 import tkinter
 import threading
+import matplotlib.pyplot as plt
 
 import selenium.webdriver.firefox.service
 import webdriver_manager.chrome
@@ -20,13 +21,14 @@ from dateutil.relativedelta import relativedelta
 from selenium.webdriver.common.action_chains import ActionChains
 import json
 import requests
+import statistics
 from webdriver_manager.firefox import GeckoDriverManager
 
 DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "coordinate X", "coordinate Y", "Sonnendach URL: ", "Suitability:", "Image Filename: ", "PV Production 100", "Value Electricity production", "Roof area", "existing PV Production"]
 file_split_char = ","
 minRoofSize = 2
 minSuitability = 3
-electricityPrice = 0.1
+electricityPrice = 0.198
 OptionList = []
 exit = False
 stopThread = False
@@ -66,12 +68,15 @@ 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)
@@ -85,9 +90,12 @@ 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)
@@ -139,9 +147,8 @@ 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
@@ -165,12 +172,18 @@ 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']))
@@ -202,7 +215,7 @@ 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']
@@ -213,8 +226,21 @@ 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,
+
-                              url)
+                barchart_color = ""
+                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"
@@ -323,7 +349,7 @@ 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, url):
+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):
     driver.get(url)
     time.sleep(2)
 
@@ -358,22 +384,54 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag
         image_folder_map + image_filename)
 
     # Create Screenshot of Chart
-    try:
+    # try:
-        chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
+    #     chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
-        location = chartElement.location
+    #     location = chartElement.location
-        size = chartElement.size
+    #     size = chartElement.size
-        x = location["x"]
+    #     x = location["x"]
-        y = location["y"]
+    #     y = location["y"]
-        w = x + size["width"]
+    #     w = x + size["width"]
-        h = size["height"]
+    #     h = size["height"]
-        area = (x, 0, w, h)
+    #     area = (x, 0, w, h)
-        driver.execute_script("window.scrollTo(0, " + str(y) + ")")
+    #     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()
+        barChartMonth = [str(item) for item in barChartMonth]
+        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=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 = "Toggenburgstrasse 31 8245 Feuerthalen"
+search_string = "Mattenweg 29 5600 Lenzburg"
 
 #Address to coordinates
 params={
@@ -55,3 +55,5 @@ response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['re
 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(roof)