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5 changed files with 35 additions and 74 deletions

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

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@ -24,11 +24,12 @@ 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 100", "Value Electricity production", "Roof area", "existing PV Production"] 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"]
file_split_char = "," file_split_char = ","
minRoofSize = 2 minRoofSize = 2
minSuitability = 3 minSuitability = 3
electricityPrice = 0.198 electricityPrice = 0.198
electricityUsageFactor = 0.75
OptionList = [] OptionList = []
exit = False exit = False
stopThread = False stopThread = False
@ -175,11 +176,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
barChartMonth = response_all_roofs_decoded[0]['attributes']['monate'] barChartMonth = response_all_roofs_decoded[0]['attributes']['monate']
barChartData = [0] * 12 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 energy = float(roof['attributes']['gstrahlung'])*0.2*0.8*electricityUsageFactor
if(energy > bestRoofEnergy):
bestRoofEnergy = energy
bestRoof = roof
if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability): if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
if (energy > bestRoofEnergy):
bestRoofEnergy = energy
bestRoof = roof
for month_count in range(12): for month_count in range(12):
barChartData[month_count] = barChartData[month_count] + float( barChartData[month_count] = barChartData[month_count] + float(
roof['attributes']['monats_ertrag'][month_count]) * float( roof['attributes']['monats_ertrag'][month_count]) * float(
@ -199,7 +201,8 @@ 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 = "none" existing_solar_panel_power = "error"
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
@ -219,9 +222,14 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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 = "not-found" existing_solar_panel_power = "error"
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)):
@ -245,26 +253,26 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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) value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation)
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")
@ -278,7 +286,7 @@ 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): value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation):
# 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])
@ -289,20 +297,15 @@ 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
new_line_string = "" adress[columnIndexes[13]] = existing_solar_panel_begining_of_operation
for j in adress: new_line_string = file_split_char.join(str(j) 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(adress_list, filename_adresslist): def save_addresslist_in_file(address_list, filename_addresslist):
new_adress_list = "" with open(filename_addresslist, "w", encoding="utf-8") as address_file:
for j in adress_list: for address in address_list:
new_adress_list = new_adress_list + (j) + "\n" address_file.write(f"{address}\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

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@ -2,7 +2,7 @@
import json import json
import requests import requests
search_string = "Mattenweg 29 5600 Lenzburg" search_string = "Toggenburgstrasse 31 8245 Feuerthalen"
#Address to coordinates #Address to coordinates
params={ params={
@ -54,6 +54,4 @@ response_all_roofs = requests.get('https://api3.geo.admin.ch/rest/services/api/M
response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['results'] response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['results']
for roof in response_all_roofs_decoded: for roof in response_all_roofs_decoded:
# print(roof['attributes'].keys()) # 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("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)