forked from Silias-Public/Sonnendach
created Version 3.1
This commit is contained in:
Schrom01
parent
4b70dc34a1
commit
76733fd896
168
Sonnendach.py
168
Sonnendach.py
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@ -1,5 +1,6 @@
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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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@ -23,11 +24,12 @@ import requests
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import statistics
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from webdriver_manager.firefox import GeckoDriverManager
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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"]
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DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "coordinate X", "coordinate Y", "Sonnendach URL: ", "Suitability:", "Image Filename: ", "PV Production 75", "Value Electricity production", "Roof area", "existing PV Production Power", "existing PV Production begining of operation"]
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file_split_char = ","
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minRoofSize = 2
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minSuitability = 3
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electricityPrice = 0.1
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electricityPrice = 0.198
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electricityUsageFactor = 0.75
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OptionList = []
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exit = False
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stopThread = False
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@ -67,12 +69,15 @@ 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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@ -86,9 +91,12 @@ 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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@ -140,9 +148,8 @@ 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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# for result in results:
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# print(result)
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# results = (response_one_roof_decoded['results'])
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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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@ -166,12 +173,19 @@ 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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energy = float(roof['attributes']['gstrahlung'])*0.2*0.8*electricityUsageFactor
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if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
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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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@ -187,7 +201,8 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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roof_is_suitable = True # TODO decide if roof is suitable
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existing_solar_panel_power = "none"
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existing_solar_panel_power = "error"
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existing_solar_panel_begining_of_operation = "error"
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roof_has_solarpanel = False # TODO check if roof has solar Panel
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#Check if there is solar panel existing
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@ -203,43 +218,61 @@ 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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existing_solar_panel_begining_of_operation = results[0]['attributes']['beginning_of_operation']
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else:
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existing_solar_panel_power = "none"
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existing_solar_panel_begining_of_operation = "none"
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except:
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existing_solar_panel_power = "not-found"
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existing_solar_panel_power = "error"
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existing_solar_panel_begining_of_operation = "error"
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roof_has_solarpanel = False
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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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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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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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else:
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image_filename = "not-created"
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print("saving Address: " + address_string)
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# print("saving Address: " + address_string)
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save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, i,
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image_filename, sumEnergyRoofs, sumRoofArea, suitability, url,
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value_electricity_production, existing_solar_panel_power)
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value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation)
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if(i % 100 == 0 or i + 1 == address_count):
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save_addresslist_in_file(adress_list, filename_adresslist)
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if(found):
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street = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]]
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plz = adress[columnIndexes[2]]
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city = adress[columnIndexes[3]]
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create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, response_all_roofs_decoded)
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print("saved Address: " + address_string)
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print("Address " + str(i) + " of " + str(address_count))
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timediff = relativedelta(datetime.datetime.now(), startTime)
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print("Process is running since %d years %d months %d days %d hours %d minutes %d seconds" % (
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timediff.years, timediff.months, timediff.days, timediff.hours, timediff.minutes, timediff.seconds))
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# if(found):
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# street = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]]
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# plz = adress[columnIndexes[2]]
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# city = adress[columnIndexes[3]]
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# create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, response_all_roofs_decoded)
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if(stopThread == True):
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print("closing Thread")
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@ -253,7 +286,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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def save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, list_index,
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image_filename, pv_Production100, roof_area, suitability, url,
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value_electricity_production, existing_solar_panel_power):
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value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation):
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# Save Information in Addresslist
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adress[columnIndexes[4]] = str(coordinates[0])
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adress[columnIndexes[5]] = str(coordinates[1])
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@ -264,20 +297,15 @@ def save_information_to_addresslist(adress, adress_list, columnIndexes, coordina
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adress[columnIndexes[10]] = value_electricity_production
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adress[columnIndexes[11]] = roof_area
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adress[columnIndexes[12]] = existing_solar_panel_power
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new_line_string = ""
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for j in adress:
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new_line_string = new_line_string + str(j) + file_split_char
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adress[columnIndexes[13]] = existing_solar_panel_begining_of_operation
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new_line_string = file_split_char.join(str(j) for j in adress)
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adress_list[list_index] = new_line_string
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def save_addresslist_in_file(adress_list, filename_adresslist):
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new_adress_list = ""
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for j in adress_list:
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new_adress_list = new_adress_list + (j) + "\n"
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# save File
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adress_file = open(filename_adresslist, "w", encoding="utf-8")
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adress_file.write(new_adress_list)
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adress_file.close()
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def save_addresslist_in_file(address_list, filename_addresslist):
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with open(filename_addresslist, "w", encoding="utf-8") as address_file:
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for address in address_list:
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address_file.write(f"{address}\n")
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def create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, roofs):
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global electricityPrice
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@ -324,7 +352,7 @@ 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, url):
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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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driver.get(url)
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time.sleep(2)
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@ -359,22 +387,54 @@ 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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# 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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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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