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Sonnendach.py
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@ -1,6 +1,5 @@
import tkinter import tkinter
import threading import threading
import matplotlib.pyplot as plt
import selenium.webdriver.firefox.service import selenium.webdriver.firefox.service
import webdriver_manager.chrome import webdriver_manager.chrome
@ -24,12 +23,11 @@ import requests
import statistics import statistics
from webdriver_manager.firefox import GeckoDriverManager from webdriver_manager.firefox import GeckoDriverManager
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"] 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 = "," file_split_char = ","
minRoofSize = 2 minRoofSize = 2
minSuitability = 3 minSuitability = 3
electricityPrice = 0.198 electricityPrice = 0.1
electricityUsageFactor = 0.75
OptionList = [] OptionList = []
exit = False exit = False
stopThread = False stopThread = False
@ -69,15 +67,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
image_folder_map = "screenshots_map/" image_folder_map = "screenshots_map/"
image_folder_production = "screenshots_production/" image_folder_production = "screenshots_production/"
image_folder_qrcode = "qrcodes/" image_folder_qrcode = "qrcodes/"
image_folder_barcharts = "barcharts/"
if(not os.path.exists(image_folder_map[:-1])): if(not os.path.exists(image_folder_map[:-1])):
os.makedirs(image_folder_map[:-1], exist_ok=False) 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])): if (not os.path.exists(image_folder_qrcode[:-1])):
os.makedirs(image_folder_qrcode[:-1], exist_ok=False) 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() startTime = datetime.datetime.now()
address_count = len(adress_list) address_count = len(adress_list)
@ -91,12 +86,9 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
sumRoofArea = "not-found" sumRoofArea = "not-found"
featureId = "not-found" featureId = "not-found"
response_all_roofs_decoded = "not-found" response_all_roofs_decoded = "not-found"
coordinates = ("not-found", "not-found")
found = True found = True
line = adress_list[i] line = adress_list[i]
adress = line.split(file_split_char) 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)))): 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]] address_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
print("searching for Address: " + address_string) print("searching for Address: " + address_string)
@ -148,8 +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', response_one_roof = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/identify',
params=params) params=params)
response_one_roof_decoded = json.loads(response_one_roof.content.decode()) 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'] building_id = (response_one_roof_decoded)['results'][0]['attributes']['building_id']
except: except:
found = False found = False
@ -173,19 +166,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
suitabilities = [] suitabilities = []
bestRoofEnergy = 0 bestRoofEnergy = 0
bestRoof = response_all_roofs_decoded[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: for roof in response_all_roofs_decoded:
energy = float(roof['attributes']['gstrahlung'])*0.2*0.8*electricityUsageFactor energy = float(roof['attributes']['gstrahlung'])*0.2*0.8
if(energy > bestRoofEnergy):
if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
if (energy > bestRoofEnergy):
bestRoofEnergy = energy bestRoofEnergy = energy
bestRoof = roof bestRoof = roof
for month_count in range(12): if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
barChartData[month_count] = barChartData[month_count] + float(
roof['attributes']['monats_ertrag'][month_count]) * float(
roof['attributes']['flaeche']) * electricityPrice
sumEnergyRoofs = sumEnergyRoofs + energy sumEnergyRoofs = sumEnergyRoofs + energy
sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche']) sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche'])
suitabilities.append(int(roof['attributes']['klasse'])) suitabilities.append(int(roof['attributes']['klasse']))
@ -201,8 +187,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
roof_is_suitable = True # TODO decide if roof is suitable roof_is_suitable = True # TODO decide if roof is suitable
existing_solar_panel_power = "error" existing_solar_panel_power = "none"
existing_solar_panel_begining_of_operation = "error"
roof_has_solarpanel = False # TODO check if roof has solar Panel roof_has_solarpanel = False # TODO check if roof has solar Panel
#Check if there is solar panel existing #Check if there is solar panel existing
@ -218,61 +203,43 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
repsonse_solar_panel = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find', repsonse_solar_panel = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find',
params=params) params=params)
repsonse_solar_panel_decoded = json.loads(repsonse_solar_panel.content.decode()) repsonse_solar_panel_decoded = json.loads(repsonse_solar_panel.content.decode())
print(repsonse_solar_panel_decoded)
results = (repsonse_solar_panel_decoded['results']) results = (repsonse_solar_panel_decoded['results'])
if(len(results) > 0): if(len(results) > 0):
existing_solar_panel_power = results[0]['attributes']['total_power'] existing_solar_panel_power = results[0]['attributes']['total_power']
existing_solar_panel_begining_of_operation = results[0]['attributes']['beginning_of_operation']
else:
existing_solar_panel_power = "none"
existing_solar_panel_begining_of_operation = "none"
except: except:
existing_solar_panel_power = "error" existing_solar_panel_power = "not-found"
existing_solar_panel_begining_of_operation = "error"
roof_has_solarpanel = False roof_has_solarpanel = False
if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)): if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)):
image_filename = address_string + ".png" 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: else:
image_filename = "not-created" image_filename = "not-created"
# print("saving Address: " + address_string) print("saving Address: " + address_string)
save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, i, save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, i,
image_filename, sumEnergyRoofs, sumRoofArea, suitability, url, image_filename, sumEnergyRoofs, sumRoofArea, suitability, url,
value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation) value_electricity_production, existing_solar_panel_power)
if(i % 100 == 0 or i + 1 == address_count):
save_addresslist_in_file(adress_list, filename_adresslist) save_addresslist_in_file(adress_list, filename_adresslist)
if(found):
street = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]]
plz = adress[columnIndexes[2]]
city = adress[columnIndexes[3]]
create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, response_all_roofs_decoded)
print("saved Address: " + address_string)
print("Address " + str(i) + " of " + str(address_count)) print("Address " + str(i) + " of " + str(address_count))
timediff = relativedelta(datetime.datetime.now(), startTime) timediff = relativedelta(datetime.datetime.now(), startTime)
print("Process is running since %d years %d months %d days %d hours %d minutes %d seconds" % ( print("Process is running since %d years %d months %d days %d hours %d minutes %d seconds" % (
timediff.years, timediff.months, timediff.days, timediff.hours, timediff.minutes, timediff.seconds)) timediff.years, timediff.months, timediff.days, timediff.hours, timediff.minutes, timediff.seconds))
# if(found):
# street = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]]
# plz = adress[columnIndexes[2]]
# city = adress[columnIndexes[3]]
# create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, response_all_roofs_decoded)
if(stopThread == True): if(stopThread == True):
print("closing Thread") print("closing Thread")
@ -286,7 +253,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
def save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, list_index, def save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, list_index,
image_filename, pv_Production100, roof_area, suitability, url, image_filename, pv_Production100, roof_area, suitability, url,
value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation): value_electricity_production, existing_solar_panel_power):
# Save Information in Addresslist # Save Information in Addresslist
adress[columnIndexes[4]] = str(coordinates[0]) adress[columnIndexes[4]] = str(coordinates[0])
adress[columnIndexes[5]] = str(coordinates[1]) adress[columnIndexes[5]] = str(coordinates[1])
@ -297,15 +264,20 @@ def save_information_to_addresslist(adress, adress_list, columnIndexes, coordina
adress[columnIndexes[10]] = value_electricity_production adress[columnIndexes[10]] = value_electricity_production
adress[columnIndexes[11]] = roof_area adress[columnIndexes[11]] = roof_area
adress[columnIndexes[12]] = existing_solar_panel_power adress[columnIndexes[12]] = existing_solar_panel_power
adress[columnIndexes[13]] = existing_solar_panel_begining_of_operation new_line_string = ""
new_line_string = file_split_char.join(str(j) for j in adress) for j in adress:
new_line_string = new_line_string + str(j) + file_split_char
adress_list[list_index] = new_line_string adress_list[list_index] = new_line_string
def save_addresslist_in_file(address_list, filename_addresslist): def save_addresslist_in_file(adress_list, filename_adresslist):
with open(filename_addresslist, "w", encoding="utf-8") as address_file: new_adress_list = ""
for address in address_list: for j in adress_list:
address_file.write(f"{address}\n") new_adress_list = new_adress_list + (j) + "\n"
# save File
adress_file = open(filename_adresslist, "w", encoding="utf-8")
adress_file.write(new_adress_list)
adress_file.close()
def create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, roofs): def create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, roofs):
global electricityPrice global electricityPrice
@ -352,7 +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" 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 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) driver.get(url)
time.sleep(2) time.sleep(2)
@ -387,54 +359,22 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag
image_folder_map + image_filename) image_folder_map + image_filename)
# Create Screenshot of Chart # 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: 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: except:
pass pass

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Sonnendach_V3.1.exe → Sonnendach_V3.0.exe
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