forked from Silias-Public/Sonnendach
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4 Commits
making_ima
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main
Author | SHA1 | Date |
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Schrom01 | 76733fd896 | |
Schrom01 | 4b70dc34a1 | |
Roman Schenk | 1827d21aeb | |
Roman Schenk | 5813ea4c0d |
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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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@ -24,11 +24,12 @@ import requests
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import statistics
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import statistics
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from webdriver_manager.firefox import GeckoDriverManager
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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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file_split_char = ","
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minRoofSize = 2
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minRoofSize = 2
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minSuitability = 3
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minSuitability = 3
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electricityPrice = 0.198
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electricityPrice = 0.198
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electricityUsageFactor = 0.75
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OptionList = []
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OptionList = []
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exit = False
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exit = False
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stopThread = False
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stopThread = False
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@ -175,11 +176,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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barChartMonth = response_all_roofs_decoded[0]['attributes']['monate']
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barChartMonth = response_all_roofs_decoded[0]['attributes']['monate']
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barChartData = [0] * 12
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barChartData = [0] * 12
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for roof in response_all_roofs_decoded:
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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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energy = float(roof['attributes']['gstrahlung'])*0.2*0.8*electricityUsageFactor
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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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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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for month_count in range(12):
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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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barChartData[month_count] = barChartData[month_count] + float(
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roof['attributes']['monats_ertrag'][month_count]) * float(
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roof['attributes']['monats_ertrag'][month_count]) * float(
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@ -199,7 +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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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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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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#Check if there is solar panel existing
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@ -219,9 +222,14 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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results = (repsonse_solar_panel_decoded['results'])
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results = (repsonse_solar_panel_decoded['results'])
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if(len(results) > 0):
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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_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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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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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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if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)):
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@ -245,26 +253,26 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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else:
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else:
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image_filename = "not-created"
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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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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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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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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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print("Address " + str(i) + " of " + str(address_count))
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timediff = relativedelta(datetime.datetime.now(), startTime)
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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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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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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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if(stopThread == True):
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print("closing Thread")
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print("closing Thread")
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@ -278,7 +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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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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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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# Save Information in Addresslist
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adress[columnIndexes[4]] = str(coordinates[0])
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adress[columnIndexes[4]] = str(coordinates[0])
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adress[columnIndexes[5]] = str(coordinates[1])
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adress[columnIndexes[5]] = str(coordinates[1])
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@ -289,20 +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[10]] = value_electricity_production
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adress[columnIndexes[11]] = roof_area
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adress[columnIndexes[11]] = roof_area
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adress[columnIndexes[12]] = existing_solar_panel_power
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adress[columnIndexes[12]] = existing_solar_panel_power
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new_line_string = ""
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adress[columnIndexes[13]] = existing_solar_panel_begining_of_operation
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for j in adress:
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new_line_string = file_split_char.join(str(j) for j in adress)
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new_line_string = new_line_string + str(j) + file_split_char
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adress_list[list_index] = new_line_string
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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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def save_addresslist_in_file(address_list, filename_addresslist):
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new_adress_list = ""
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with open(filename_addresslist, "w", encoding="utf-8") as address_file:
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for j in adress_list:
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for address in address_list:
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new_adress_list = new_adress_list + (j) + "\n"
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address_file.write(f"{address}\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 create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, roofs):
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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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global electricityPrice
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Binary file not shown.
Binary file not shown.
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@ -2,7 +2,7 @@
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import json
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import json
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import requests
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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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#Address to coordinates
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params={
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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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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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for roof in response_all_roofs_decoded:
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# print(roof['attributes'].keys())
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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("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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