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5813ea4c0d
...
394b19ce17
360
Sonnendach.py
360
Sonnendach.py
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@ -10,18 +10,10 @@ import os
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import qrcode
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from tkinter import filedialog
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import time
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import datetime
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from dateutil.relativedelta import relativedelta
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from selenium.webdriver.common.action_chains import ActionChains
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import json
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import requests
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import statistics
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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"]
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DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "Sonnendach URL: ", "Suitability", "Image Filename Map: ", "Image Filename Production: ", "Image Filename qrcode: ", "PV Production 50", "PV Production 75", "PV Production 100", "Value Electricity production"]
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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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OptionList = []
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exit = False
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stopThread = False
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@ -33,272 +25,67 @@ driver = webdriver.Chrome(service=service)
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driver.minimize_window()
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outputtext = "Welcome to application Sonnendach\n"
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columnIndexes = []
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storeToDolibarr = True
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dolibarrURL = ""
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dolibarrApiKey = ""
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dolibarrCountryID = "6" # 6 = Schweiz
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dolibarrCountryCode = "CH"
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dolibarrStateID = "403" # 403 = Kanton Zürich
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def search_adresses(adress_list, filename_adresslist, driver, mainText):
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print("function to search Addresses called")
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global file_split_char
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global stopThread
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global columnIndexes
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global outputtext
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global checkBoxCreateImages
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global minRoofSize
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global minSuitability
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global electricityPrice
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global storeToDolibarr
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global dolibarrURL
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global dolibarrApiKey
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#Create Direcotrys to save screenshots and qrcodes if they don't exist yet.
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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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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_qrcode[:-1])):
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os.makedirs(image_folder_qrcode[:-1], exist_ok=False)
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if(not os.path.exists("screenshots")):
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os.makedirs("screenshots", exist_ok=False)
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if (not os.path.exists("qrcodes")):
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os.makedirs("qrcodes", exist_ok=False)
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startTime = datetime.datetime.now()
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address_count = len(adress_list)
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#Search for each adress in the list and create screenshots and qrcodes
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print("Starting Address Loop")
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for i in range(address_count):
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url = "not-found"
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suitability = "not-found"
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sumEnergyRoofs = "not-found"
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value_electricity_production = "not-found"
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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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found = True
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for i in range(len(adress_list)):
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line = adress_list[i]
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adress = line.split(file_split_char)
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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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if(not ((len(adress[columnIndexes[4]]) > 0) and (len(adress[columnIndexes[5]]) > 0))):
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# Get Coordinates for Address
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try:
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# Address to coordinates
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params = {
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"type": "locations",
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"searchText": address_string,
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"lang": "de"}
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locationsResponse = requests.get('https://api3.geo.admin.ch/rest/services/api/SearchServer',
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params=params)
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locations = json.loads(locationsResponse.content.decode())
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firstLocation = locations['results'][0]['attrs']
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if((line != adress_list[0]) & (adress[columnIndexes[4]] == "") & (len(adress[columnIndexes[0]]) > 0) & (len(adress[columnIndexes[1]]) > 0) & (len(adress[columnIndexes[2]]) > 0) & (len(adress[columnIndexes[3]]) > 0)):
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print(adress)
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search_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
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search_bar = driver.find_element(By.ID, "searchTypeahead1")
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search_bar.send_keys(Keys.CONTROL + "a")
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search_bar.send_keys(Keys.DELETE)
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search_bar.send_keys(search_string)
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driver.implicitly_wait(10)
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# you need the coordinates from other services, once you have them
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coordinates = (float(firstLocation['y']), float(firstLocation['x'])) # example coordinates
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except:
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found = False
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else:
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# Get Coordinates from File
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coordinate_x = float(adress[columnIndexes[4]]) % 1000000
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coordinate_y = float(adress[columnIndexes[5]]) % 1000000
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coordinates = (coordinate_x, coordinate_y)
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suggestions = driver.find_elements(By.XPATH, "//div[@class='tt-suggestion tt-selectable']")
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for suggestion in suggestions:
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if(suggestion.text == search_string):
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found = True
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suggestion.click()
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driver.implicitly_wait(10)
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break
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if(found):
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# Get Building ID from coordinates
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try:
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coordinates_str = ','.join(map(str, coordinates))
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tolerance = 1
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# this is wrong, bbox should be computed using tolerance and pixel size, but there are no problems for the
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# purpose of this exercise
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bbox = (coordinates[0] - tolerance, coordinates[1] - tolerance, coordinates[0] + tolerance,
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coordinates[1] + tolerance)
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bbox_str = ','.join(map(str, bbox))
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params = {
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"geometryType": "esriGeometryPoint",
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"returnGeometry": "true",
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"layers": "all:ch.bfe.solarenergie-eignung-daecher",
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"geometry": coordinates_str,
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"mapExtent": bbox_str,
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"imageDisplay": "1391,1070,96",
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"tolerance": tolerance,
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"order": "distance",
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"lang": "de",
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}
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# retrieve one roof and the building_id associated
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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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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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if(found):
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try:
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# use the building_id of previous request to get all roofs associated with this building_id
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params = {
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'layer': 'ch.bfe.solarenergie-eignung-daecher',
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'searchField': 'building_id',
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'contains': 'false',
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'searchText': str(building_id),
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'returnGeometry': 'false'
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}
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response_all_roofs = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find',
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params=params)
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response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['results']
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if(len(response_all_roofs_decoded) > 0):
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sumEnergyRoofs = 0
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sumRoofArea = 0
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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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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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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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sumEnergyRoofs = sumEnergyRoofs + energy
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sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche'])
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suitabilities.append(int(roof['attributes']['klasse']) * float(roof['attributes']['flaeche']))
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featureId = str(bestRoof['featureId'])
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url = "https://www.uvek-gis.admin.ch/BFE/sonnendach/index.html?featureId=" + featureId + "&lang=de"
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suitability = statistics.mean(suitabilities) / sumRoofArea
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value_electricity_production = sumEnergyRoofs * electricityPrice
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else:
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found = False
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except:
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found = False
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roof_is_suitable = True # TODO decide if roof is suitable
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if(found and createImages.get() > 0 and roof_is_suitable):
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image_filename = suitability + " - " + 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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else:
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image_filename = "not-created"
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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)
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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(stopThread == True):
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print("closing Thread")
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return
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outputtext = outputtext + "Reached end of list.\nPress Exit to close the application." + "\n"
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mainText.config(text=outputtext)
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print("closing Thread")
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return
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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):
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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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adress[columnIndexes[6]] = url
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adress[columnIndexes[7]] = suitability
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adress[columnIndexes[8]] = image_filename
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adress[columnIndexes[9]] = pv_Production100
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adress[columnIndexes[10]] = value_electricity_production
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adress[columnIndexes[11]] = roof_area
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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_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 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 dolibarrStateID
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global dolibarrCountryID
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global dolibarrCountryCode
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global dolibarrURL
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global dolibarrApiKey
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params = {
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"name": "unbekannt",
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"address": street,
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"zip": plz,
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"town": city,
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"state_id": dolibarrStateID,
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"client": "2",
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"code_client": "FID-" + featureId,
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"note_public": "",
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"status_prospect_label": "Jamais contacté",
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"array_options": {
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"options_energy": str(sumEnergyRoofs),
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"options_energy_value": str(float(sumEnergyRoofs) * electricityPrice),
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"options_roof_size": str(sumRoofArea),
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"options_avrg_suitability": str(suitability),
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"options_geomx": str(coordinates[0]),
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"options_geomy": str(coordinates[1]),
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"options_roof_info": create_roof_info(roofs),
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"options_sonnendach_url": url
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},
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"country_id": dolibarrCountryID,
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"country_code": dolibarrCountryCode
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}
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headers = {
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"Content-Type": "application/json",
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"Accept": "application/json",
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"DOLAPIKEY": dolibarrApiKey
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}
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response = json.loads(requests.post(dolibarrURL, json=params, headers=headers).content.decode())
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# print(params)
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# print(response)
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def create_roof_info(roofs):
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info_text = ""
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for i in range(len(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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driver.get(url)
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time.sleep(2)
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url = driver.current_url
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suitability = driver.find_element(By.ID, "eignung").text
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pv_Production50 = driver.find_element(By.ID, "pv50").text.replace("'", "")
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pv_Production75 = driver.find_element(By.ID, "pv75").text.replace("'", "")
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pv_Production100 = driver.find_element(By.ID, "pv100").text.replace("'", "")
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value_electricity_production = driver.find_elements(By.XPATH, "//h2[@id='TitelSolarstrom']//strong")[2].text.replace("'", "").replace(" Franken", "")
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image_filename = suitability + " - " + search_string
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image_folder_map = "screenshots/"
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image_filename_map = image_filename + " map" + ".png"
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image_folder_production = "screenshots/"
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image_filename_production = image_filename + " production" + ".png"
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image_folder_qrcode = "qrcodes/"
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image_filename_qrcode = image_filename + " qrcode" + ".png"
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# Create QR-Code
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qr = qrcode.QRCode(version=1, box_size=10, border=5)
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qr.add_data(url)
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qr.make(fit=True)
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qr.make_image(fill='black', back_color='white').save(image_folder_qrcode + image_filename)
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qr.make_image(fill='black', back_color='white').save(image_folder_qrcode + image_filename_qrcode)
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# Create Screenshot of Map
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actions = ActionChains(driver)
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@ -319,10 +106,10 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag
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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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time.sleep(1)
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driver.save_screenshot(image_folder_map + image_filename)
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driver.save_screenshot(image_folder_map + image_filename_map)
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time.sleep(0.2)
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Image.open(image_folder_map + image_filename).crop(area).save(
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image_folder_map + image_filename)
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Image.open(image_folder_map + image_filename_map).crop(area).save(
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image_folder_map + image_filename_map)
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# Create Screenshot of Chart
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try:
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@ -337,12 +124,59 @@ def create_images(address_string, driver, image_filename, image_folder_map, imag
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driver.execute_script("window.scrollTo(0, " + str(y) + ")")
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time.sleep(1)
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driver.save_screenshot(image_folder_production + image_filename)
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driver.save_screenshot(image_folder_production + image_filename_production)
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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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Image.open(image_folder_production + image_filename_production).crop(area).save(
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image_folder_production + image_filename_production)
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except:
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pass
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image_filename_production = "not-found"
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print(image_filename_map + " was saved.")
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else:
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url = "not-found"
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suitability = "not-found"
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image_filename_map = "not-found"
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image_filename_production = "not-found"
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image_filename_qrcode = "not-found"
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pv_Production50 = "not-found"
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pv_Production75 = "not-found"
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pv_Production100 = "not-found"
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value_electricity_production = "not-found"
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print("not found: " + search_string)
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#Write back into file
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adress[columnIndexes[4]] = url
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adress[columnIndexes[5]] = suitability
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adress[columnIndexes[6]] = image_filename_map
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adress[columnIndexes[7]] = image_filename_production
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adress[columnIndexes[8]] = image_filename_qrcode
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adress[columnIndexes[9]] = pv_Production50
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adress[columnIndexes[10]] = pv_Production75
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adress[columnIndexes[11]] = pv_Production100
|
||||
adress[columnIndexes[12]] = value_electricity_production
|
||||
adress_file = open(filename_adresslist, "w", encoding="utf-8")
|
||||
new_line_string = ""
|
||||
for j in adress:
|
||||
new_line_string = new_line_string + j + file_split_char
|
||||
adress_list[i] = new_line_string
|
||||
new_adress_list = ""
|
||||
for j in adress_list:
|
||||
new_adress_list = new_adress_list + (j) + "\n"
|
||||
adress_file.write(new_adress_list)
|
||||
adress_file.close()
|
||||
|
||||
|
||||
if(stopThread == True):
|
||||
print("closing Thread")
|
||||
return
|
||||
|
||||
outputtext = outputtext + "Reached end of list.\nPress Exit to close the application." + "\n"
|
||||
mainText.config(text=outputtext)
|
||||
print("closing Thread")
|
||||
return
|
||||
|
||||
|
||||
def read_adresslist(filename_adresslist):
|
||||
|
|
@ -398,7 +232,7 @@ def command():
|
|||
thread_search_adresses.join()
|
||||
except:
|
||||
pass
|
||||
print("Threads are closed")
|
||||
print("Thread is closed")
|
||||
root.quit()
|
||||
print("Application is closed")
|
||||
driver.quit()
|
||||
|
|
@ -409,7 +243,7 @@ def command():
|
|||
outputtext = outputtext + "Searching File " + filename_adresslist + "\n"
|
||||
mainText.config(text=outputtext)
|
||||
adress_list_result = read_adresslist(filename_adresslist)
|
||||
if(adress_list_result[0]):
|
||||
if(adress_list_result):
|
||||
adresslist = adress_list_result[1]
|
||||
outputtext = outputtext + "File " + filename_adresslist + " found." + "\n"
|
||||
mainText.config(text=outputtext)
|
||||
|
|
@ -463,6 +297,7 @@ def command_exit():
|
|||
|
||||
|
||||
|
||||
|
||||
root = tkinter.Tk()
|
||||
root.protocol("WM_DELETE_WINDOW", command_exit)
|
||||
root.wm_title("Sonnendach")
|
||||
|
|
@ -477,9 +312,6 @@ for i in range(len(DropDownLabels)):
|
|||
|
||||
frameButtons = tkinter.Frame(root)
|
||||
frameButtons.grid(row=3, column=1)
|
||||
createImages = tkinter.IntVar()
|
||||
checkBoxCreateImages = tkinter.Checkbutton(frameButtons, text="create images", variable=createImages)
|
||||
checkBoxCreateImages.grid()
|
||||
button1 = tkinter.Button(frameButtons, text="Select Adresslist file", command=command, width=20, height=2, bg="#FCCA03")
|
||||
button1.grid(row=3, column=1, padx=10, pady=3)
|
||||
button2 = tkinter.Button(frameButtons, text="EXIT", command=command_exit, width=20, height=2, bg="#FCCA03")
|
||||
|
|
|
|||
57
api-Test.py
57
api-Test.py
|
|
@ -1,57 +0,0 @@
|
|||
#take a roof knowing the coordinates and use it to retrieve all the others "on the same building"
|
||||
import json
|
||||
import requests
|
||||
|
||||
search_string = "Toggenburgstrasse 31 8245 Feuerthalen"
|
||||
|
||||
#Address to coordinates
|
||||
params={
|
||||
"type":"locations",
|
||||
"searchText":search_string,
|
||||
"lang":"de"}
|
||||
locationsResponse = requests.get('https://api3.geo.admin.ch/rest/services/api/SearchServer', params=params)
|
||||
locations = json.loads(locationsResponse.content.decode())
|
||||
firstLocation = locations['results'][0]['attrs']
|
||||
|
||||
# you need the coordinates from other services, once you have them
|
||||
coordinates=(firstLocation['y'],firstLocation['x']) # example coordinates
|
||||
coordinates_str=','.join(map(str,coordinates))
|
||||
tolerance=1
|
||||
|
||||
# this is wrong, bbox should be computed using tolerance and pixel size, but there are no problems for the
|
||||
# purpose of this exercise
|
||||
bbox=(coordinates[0]-tolerance, coordinates[1]-tolerance, coordinates[0]+tolerance,coordinates[1]+tolerance)
|
||||
bbox_str=','.join(map(str,bbox))
|
||||
# retrieve one roof and the building_id associated
|
||||
params={
|
||||
"geometryType":"esriGeometryPoint",
|
||||
"returnGeometry":"true",
|
||||
"layers":"all:ch.bfe.solarenergie-eignung-daecher",
|
||||
"geometry":coordinates_str,
|
||||
"mapExtent":bbox_str,
|
||||
"imageDisplay":"1391,1070,96",
|
||||
"tolerance":tolerance,
|
||||
"order":"distance",
|
||||
"lang":"de",
|
||||
}
|
||||
print(coordinates_str)
|
||||
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['attributes']['building_id'])
|
||||
building_id=(response_one_roof_decoded)['results'][0]['attributes']['building_id']
|
||||
|
||||
# use the building_id of previous request to get all roofs associated with this building_id
|
||||
params = {
|
||||
'layer': 'ch.bfe.solarenergie-eignung-daecher',
|
||||
'searchField': 'building_id',
|
||||
'contains': 'false',
|
||||
'searchText': str(building_id),
|
||||
'returnGeometry': 'false'
|
||||
}
|
||||
response_all_roofs = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find', params=params)
|
||||
response_all_roofs_decoded = json.loads(response_all_roofs.content.decode())['results']
|
||||
for roof in response_all_roofs_decoded:
|
||||
# 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))
|
||||
Loading…
Reference in New Issue