making_image_jobs_optional #6
115
Sonnendach.py
115
Sonnendach.py
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@ -10,9 +10,12 @@ 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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create_images = True
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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", "Roof area"]
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file_split_char = ","
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OptionList = []
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@ -34,7 +37,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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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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#Create Direcotrys to save screenshots and qrcodes if they don't exist yet.
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if(not os.path.exists("screenshots")):
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@ -42,20 +45,22 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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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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for i in range(address_count):
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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]) & (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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if(createImages.get() > 0):
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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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time.sleep(0.7)
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found = False
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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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@ -66,17 +71,16 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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break
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if(found):
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time.sleep(2)
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time.sleep(0.7)
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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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roof_area = driver.find_element(By.ID, "areaOutput")
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if(create_images):
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roof_area = driver.find_element(By.ID, "areaOutput").text
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time.sleep(2)
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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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@ -135,13 +139,7 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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except:
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image_filename_production = "not-found"
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else:
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image_filename_map = "not created"
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image_filename_production = "not created"
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image_filename_qrcode = "not created"
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print("saved Address: " + search_string)
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print("Address " + str(i) + " of " + str(address_count))
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else:
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url = "not-found"
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suitability = "not-found"
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@ -154,9 +152,91 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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value_electricity_production = "not-found"
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roof_area = "not-found"
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print("not found: " + search_string)
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else: # If no images must be created
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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": search_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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# you need the coordinates from other services, once you have them
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coordinates = (firstLocation['y'], firstLocation['x']) # example coordinates
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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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# 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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best_roof = response_all_roofs_decoded[0] # TODO: Find best roof
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for roof in response_all_roofs_decoded:
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if(float(roof['attributes']['flaeche']) > float(best_roof['attributes']['flaeche'])):
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best_roof = roof
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url = "https://www.uvek-gis.admin.ch/BFE/sonnendach/index.html?featureId=" + str(best_roof['featureId']) + "&lang=de"
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suitability = str(best_roof['attributes']['klasse'])
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image_filename_map = "not-created"
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image_filename_production = "not-created"
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image_filename_qrcode = "not-created"
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pv_Production100 = str(float(best_roof['attributes']['gstrahlung'])*0.2*0.8)
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pv_Production75 = str(float(pv_Production100) * 0.75)
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pv_Production50 = str(float(pv_Production100) * 0.5)
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value_electricity_production = str(best_roof['attributes']['finanzertrag'])
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roof_area = str(best_roof['attributes']['flaeche'])
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print("saved Address: " + search_string)
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except:
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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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roof_area = "not-found"
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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" % (timediff.years, timediff.months, timediff.days, timediff.hours, timediff.minutes, timediff.seconds))
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#Write back into file
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adress[columnIndexes[4]] = url
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@ -254,7 +334,7 @@ def command():
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outputtext = outputtext + "Searching File " + filename_adresslist + "\n"
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mainText.config(text=outputtext)
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adress_list_result = read_adresslist(filename_adresslist)
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if(adress_list_result):
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if(adress_list_result[0]):
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adresslist = adress_list_result[1]
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outputtext = outputtext + "File " + filename_adresslist + " found." + "\n"
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mainText.config(text=outputtext)
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@ -323,6 +403,9 @@ for i in range(len(DropDownLabels)):
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frameButtons = tkinter.Frame(root)
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frameButtons.grid(row=3, column=1)
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createImages = tkinter.IntVar()
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checkBoxCreateImages = tkinter.Checkbutton(frameButtons, text="create images", variable=createImages)
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checkBoxCreateImages.grid()
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button1 = tkinter.Button(frameButtons, text="Select Adresslist file", command=command, width=20, height=2, bg="#FCCA03")
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button1.grid(row=3, column=1, padx=10, pady=3)
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button2 = tkinter.Button(frameButtons, text="EXIT", command=command_exit, width=20, height=2, bg="#FCCA03")
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@ -0,0 +1,57 @@
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#take a roof knowing the coordinates and use it to retrieve all the others "on the same building"
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import json
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import requests
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search_string = "Toggenburgstrasse 31 8245 Feuerthalen"
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#Address to coordinates
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params={
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"type":"locations",
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"searchText":search_string,
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"lang":"de"}
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locationsResponse = requests.get('https://api3.geo.admin.ch/rest/services/api/SearchServer', 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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# you need the coordinates from other services, once you have them
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coordinates=(firstLocation['y'],firstLocation['x']) # example coordinates
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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,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', 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['attributes']['building_id'])
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building_id=(response_one_roof_decoded)['results'][0]['attributes']['building_id']
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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', params=params)
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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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# 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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