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No commits in common. "3da728df7dcc624ac2561dffb5e9e80983766ed9" and "7398bffda6f67c6ca71a89f3b2b81d096cb186cc" have entirely different histories.
3da728df7d
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7398bffda6
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@ -1,40 +0,0 @@
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import matplotlib.pyplot as plt
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import numpy as np
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def create_barchart(barChartMonth, barChartData, color, image_folder_barcharts, image_filename):
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barChartMonth.reverse()
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barChartData.reverse()
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max_wert = max(barChartData)
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min_wert = min(barChartData)
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skala = max_wert + max_wert * 0.1
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plt.figure(figsize=(7, 3))
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plt.bar(barChartMonth, barChartData, color=color)
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plt.ylabel('Stromproduktion in Franken', fontsize=12)
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plt.ylim(0, skala)
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# Turn off the frame (border) around the graphic
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ax = plt.gca() # Get the current axis
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['bottom'].set_visible(False)
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plt.xticks(barChartMonth)
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# Set the x-axis limits to remove extra space on the right
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# plt.xlim(barChartMonth[0], barChartMonth[-1])
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plt.savefig(f"{image_folder_barcharts}{image_filename}", bbox_inches='tight')
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plt.show()
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barChartMonth = [8, 7, 6, 5, 4, 3, 2, 1, 12, 11, 10, 9]
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barChartMonth = [str(item) for item in barChartMonth]
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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]
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image_folder_barcharts = "barcharts/"
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image_filename = "test-file.png"
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color = "red"
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create_barchart(barChartMonth, barChartData, color, image_folder_barcharts, image_filename)
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105
Sonnendach.py
105
Sonnendach.py
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@ -1,6 +1,5 @@
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import tkinter
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import threading
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import matplotlib.pyplot as plt
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import selenium.webdriver.firefox.service
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import webdriver_manager.chrome
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@ -28,7 +27,7 @@ DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "coordinate
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file_split_char = ","
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minRoofSize = 2
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minSuitability = 3
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electricityPrice = 0.198
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electricityPrice = 0.1
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OptionList = []
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exit = False
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stopThread = False
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@ -68,15 +67,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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image_folder_map = "screenshots_map/"
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image_folder_production = "screenshots_production/"
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image_folder_qrcode = "qrcodes/"
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image_folder_barcharts = "barcharts/"
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if(not os.path.exists(image_folder_map[:-1])):
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os.makedirs(image_folder_map[:-1], exist_ok=False)
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# if(not os.path.exists(image_folder_production[:-1])):
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# os.makedirs(image_folder_production[:-1], exist_ok=False)
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if(not os.path.exists(image_folder_production[:-1])):
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os.makedirs(image_folder_production[:-1], exist_ok=False)
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if (not os.path.exists(image_folder_qrcode[:-1])):
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os.makedirs(image_folder_qrcode[:-1], exist_ok=False)
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if (not os.path.exists(image_folder_barcharts[:-1])):
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os.makedirs(image_folder_barcharts[:-1], exist_ok=False)
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startTime = datetime.datetime.now()
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address_count = len(adress_list)
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@ -90,12 +86,9 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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sumRoofArea = "not-found"
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featureId = "not-found"
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response_all_roofs_decoded = "not-found"
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coordinates = ("not-found", "not-found")
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found = True
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line = adress_list[i]
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adress = line.split(file_split_char)
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barChartMonth = [0] * 12
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barChartData = [0] * 12
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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)))):
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address_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
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print("searching for Address: " + address_string)
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@ -147,8 +140,9 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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response_one_roof = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/identify',
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params=params)
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response_one_roof_decoded = json.loads(response_one_roof.content.decode())
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# results = (response_one_roof_decoded['results'])
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results = (response_one_roof_decoded['results'])
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# for result in results:
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# print(result)
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building_id = (response_one_roof_decoded)['results'][0]['attributes']['building_id']
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except:
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found = False
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@ -172,18 +166,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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suitabilities = []
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bestRoofEnergy = 0
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bestRoof = response_all_roofs_decoded[0]
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barChartMonth = response_all_roofs_decoded[0]['attributes']['monate']
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barChartData = [0] * 12
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for roof in response_all_roofs_decoded:
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energy = float(roof['attributes']['gstrahlung'])*0.2*0.8
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if(energy > bestRoofEnergy):
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bestRoofEnergy = energy
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bestRoof = roof
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if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
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for month_count in range(12):
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barChartData[month_count] = barChartData[month_count] + float(
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roof['attributes']['monats_ertrag'][month_count]) * float(
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roof['attributes']['flaeche']) * electricityPrice
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sumEnergyRoofs = sumEnergyRoofs + energy
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sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche'])
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suitabilities.append(int(roof['attributes']['klasse']))
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@ -215,7 +203,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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repsonse_solar_panel = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find',
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params=params)
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repsonse_solar_panel_decoded = json.loads(repsonse_solar_panel.content.decode())
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print(repsonse_solar_panel_decoded)
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results = (repsonse_solar_panel_decoded['results'])
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if(len(results) > 0):
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existing_solar_panel_power = results[0]['attributes']['total_power']
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@ -226,21 +214,8 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)):
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image_filename = address_string + ".png"
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barchart_color = ""
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if(suitability == 1):
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barchart_color = "#00c5ff"
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elif(suitability == 2):
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barchart_color = "#ffff00"
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elif(suitability == 3):
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barchart_color = "#ffaa00"
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elif(suitability == 4):
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barchart_color = "#ff5500"
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elif(suitability == 5):
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barchart_color = "#a80000"
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create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, image_folder_barcharts,
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url, barChartMonth, barChartData, barchart_color)
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create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode,
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url)
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else:
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image_filename = "not-created"
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@ -349,7 +324,7 @@ def create_roof_info(roofs):
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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"
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return info_text
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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):
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def create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, url):
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driver.get(url)
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time.sleep(2)
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@ -384,54 +359,22 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag
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image_folder_map + image_filename)
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# Create Screenshot of Chart
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# try:
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# chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
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# location = chartElement.location
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# size = chartElement.size
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# x = location["x"]
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# y = location["y"]
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# w = x + size["width"]
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# h = size["height"]
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# area = (x, 0, w, h)
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# driver.execute_script("window.scrollTo(0, " + str(y) + ")")
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#
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# time.sleep(1)
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# driver.save_screenshot(image_folder_production + image_filename)
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# time.sleep(0.2)
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# Image.open(image_folder_production + image_filename).crop(area).save(
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# image_folder_production + image_filename)
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# except:
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# pass
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# Create barchar with matplotlib.pyplot
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try:
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barChartMonth.reverse()
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barChartMonth = [str(item) for item in barChartMonth]
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barChartData.reverse()
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max_wert = max(barChartData)
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min_wert = min(barChartData)
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skala = max_wert + max_wert * 0.1
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plt.figure(figsize=(7, 3))
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plt.bar(barChartMonth, barChartData, color=barchart_color)
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plt.ylabel('Stromproduktion in Franken', fontsize=12)
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plt.ylim(0, skala)
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# Turn off the frame (border) around the graphic
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ax = plt.gca() # Get the current axis
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['bottom'].set_visible(False)
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plt.xticks(barChartMonth)
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# Set the x-axis limits to remove extra space on the right
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# plt.xlim(barChartMonth[0], barChartMonth[-1])
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plt.savefig(f"{image_folder_barcharts}{image_filename}", bbox_inches='tight')
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chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
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location = chartElement.location
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size = chartElement.size
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x = location["x"]
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y = location["y"]
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w = x + size["width"]
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h = size["height"]
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area = (x, 0, w, h)
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driver.execute_script("window.scrollTo(0, " + str(y) + ")")
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time.sleep(1)
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driver.save_screenshot(image_folder_production + image_filename)
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time.sleep(0.2)
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Image.open(image_folder_production + image_filename).crop(area).save(
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image_folder_production + image_filename)
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except:
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pass
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@ -2,7 +2,7 @@
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import json
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import requests
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search_string = "Mattenweg 29 5600 Lenzburg"
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search_string = "Toggenburgstrasse 31 8245 Feuerthalen"
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#Address to coordinates
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params={
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@ -54,6 +54,4 @@ response_all_roofs = requests.get('https://api3.geo.admin.ch/rest/services/api/M
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response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['results']
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for roof in response_all_roofs_decoded:
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# print(roof['attributes'].keys())
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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))
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print(roof)
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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))
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