From 76733fd8965b50b65be3590f8388ff4735b2b754 Mon Sep 17 00:00:00 2001 From: Schrom01 Date: Mon, 14 Oct 2024 18:39:56 +0900 Subject: [PATCH] created Version 3.1 --- Sonnendach.py | 170 ++++++++++++++------- Sonnendach_V3.0.exe => Sonnendach_V3.1.exe | Bin 64513913 -> 64514647 bytes 2 files changed, 115 insertions(+), 55 deletions(-) rename Sonnendach_V3.0.exe => Sonnendach_V3.1.exe (99%) diff --git a/Sonnendach.py b/Sonnendach.py index fb85471..2bde219 100644 --- a/Sonnendach.py +++ b/Sonnendach.py @@ -1,5 +1,6 @@ import tkinter import threading +import matplotlib.pyplot as plt import selenium.webdriver.firefox.service import webdriver_manager.chrome @@ -23,11 +24,12 @@ import requests import statistics 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 = "," minRoofSize = 2 minSuitability = 3 -electricityPrice = 0.1 +electricityPrice = 0.198 +electricityUsageFactor = 0.75 OptionList = [] exit = False stopThread = False @@ -67,12 +69,15 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText): image_folder_map = "screenshots_map/" image_folder_production = "screenshots_production/" image_folder_qrcode = "qrcodes/" + image_folder_barcharts = "barcharts/" if(not os.path.exists(image_folder_map[:-1])): os.makedirs(image_folder_map[:-1], exist_ok=False) - if(not os.path.exists(image_folder_production[:-1])): - os.makedirs(image_folder_production[:-1], exist_ok=False) + # if(not os.path.exists(image_folder_production[:-1])): + # os.makedirs(image_folder_production[:-1], exist_ok=False) if (not os.path.exists(image_folder_qrcode[:-1])): 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() address_count = len(adress_list) @@ -86,9 +91,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText): sumRoofArea = "not-found" featureId = "not-found" response_all_roofs_decoded = "not-found" + coordinates = ("not-found", "not-found") found = True line = adress_list[i] 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)))): address_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]] print("searching for Address: " + address_string) @@ -140,9 +148,8 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText): response_one_roof = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/identify', params=params) response_one_roof_decoded = json.loads(response_one_roof.content.decode()) - results = (response_one_roof_decoded['results']) - # for result in results: - # print(result) + # results = (response_one_roof_decoded['results']) + building_id = (response_one_roof_decoded)['results'][0]['attributes']['building_id'] except: found = False @@ -166,12 +173,19 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText): suitabilities = [] bestRoofEnergy = 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: - energy = float(roof['attributes']['gstrahlung'])*0.2*0.8 - if(energy > bestRoofEnergy): - bestRoofEnergy = energy - bestRoof = roof + energy = float(roof['attributes']['gstrahlung'])*0.2*0.8*electricityUsageFactor + 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): + barChartData[month_count] = barChartData[month_count] + float( + roof['attributes']['monats_ertrag'][month_count]) * float( + roof['attributes']['flaeche']) * electricityPrice sumEnergyRoofs = sumEnergyRoofs + energy sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche']) suitabilities.append(int(roof['attributes']['klasse'])) @@ -187,7 +201,8 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText): 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 #Check if there is solar panel existing @@ -203,43 +218,61 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText): repsonse_solar_panel = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find', params=params) repsonse_solar_panel_decoded = json.loads(repsonse_solar_panel.content.decode()) - print(repsonse_solar_panel_decoded) + results = (repsonse_solar_panel_decoded['results']) if(len(results) > 0): 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: - existing_solar_panel_power = "not-found" + existing_solar_panel_power = "error" + existing_solar_panel_begining_of_operation = "error" roof_has_solarpanel = False if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)): image_filename = address_string + ".png" - create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, - url) + + barchart_color = "" + 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: 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, 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) - - - 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)) timediff = relativedelta(datetime.datetime.now(), startTime) 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)) + # 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): print("closing Thread") @@ -253,7 +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, 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 adress[columnIndexes[4]] = str(coordinates[0]) adress[columnIndexes[5]] = str(coordinates[1]) @@ -264,20 +297,15 @@ def save_information_to_addresslist(adress, adress_list, columnIndexes, coordina adress[columnIndexes[10]] = value_electricity_production adress[columnIndexes[11]] = roof_area adress[columnIndexes[12]] = existing_solar_panel_power - new_line_string = "" - for j in adress: - new_line_string = new_line_string + str(j) + file_split_char + adress[columnIndexes[13]] = existing_solar_panel_begining_of_operation + new_line_string = file_split_char.join(str(j) for j in adress) adress_list[list_index] = new_line_string -def save_addresslist_in_file(adress_list, filename_adresslist): - new_adress_list = "" - for j in adress_list: - 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 save_addresslist_in_file(address_list, filename_addresslist): + with open(filename_addresslist, "w", encoding="utf-8") as address_file: + for address in address_list: + address_file.write(f"{address}\n") def create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, roofs): global electricityPrice @@ -324,7 +352,7 @@ 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" return info_text -def create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, url): +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): driver.get(url) time.sleep(2) @@ -359,22 +387,54 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag image_folder_map + image_filename) # 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) + ")") + # 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: + barChartMonth.reverse() + barChartMonth = [str(item) for item in barChartMonth] + 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=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: pass diff --git a/Sonnendach_V3.0.exe b/Sonnendach_V3.1.exe similarity index 99% rename from Sonnendach_V3.0.exe rename to Sonnendach_V3.1.exe index 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