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510
Sonnendach.py
510
Sonnendach.py
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@ -1,14 +1,8 @@
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import tkinter
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import tkinter
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import threading
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import threading
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import matplotlib.pyplot as plt
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import selenium.webdriver.firefox.service
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import webdriver_manager.chrome
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from selenium import webdriver
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from selenium import webdriver
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from selenium.webdriver.chrome.service import Service
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from selenium.webdriver.chrome.service import Service
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from selenium.webdriver.firefox.service import Service
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from webdriver_manager.chrome import ChromeDriverManager
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from webdriver_manager.chrome import ChromeDriverManager
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from webdriver_manager.firefox import DriverManager
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from selenium.webdriver.common.by import By
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from selenium.webdriver.common.by import By
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from selenium.webdriver.common.keys import Keys
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from selenium.webdriver.common.keys import Keys
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from PIL import Image
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from PIL import Image
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@ -16,262 +10,163 @@ import os
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import qrcode
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import qrcode
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from tkinter import filedialog
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from tkinter import filedialog
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import time
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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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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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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 75", "Value Electricity production", "Roof area", "existing PV Production Power", "existing PV Production begining of operation"]
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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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file_split_char = ","
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minRoofSize = 2
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minSuitability = 3
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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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filename_adresslist = ""
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filename_adresslist = ""
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adresslist = ""
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adresslist = ""
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step = 0
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step = 0
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# service = Service(webdriver_manager.chrome.ChromeDriverManager().install())
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service = Service(ChromeDriverManager().install())
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service = selenium.webdriver.firefox.service.Service(GeckoDriverManager().install())
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driver = webdriver.Chrome(service=service)
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# driver = webdriver.Chrome(service=service)
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driver = webdriver.Firefox(service=service)
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driver.minimize_window()
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driver.minimize_window()
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outputtext = "Welcome to application Sonnendach\n"
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outputtext = "Welcome to application Sonnendach\n"
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columnIndexes = []
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columnIndexes = []
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storeToDolibarr = False
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dolibarrURL = "https://doli.solar-evolution.ch/api/index.php/thirdparties"
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dolibarrApiKey = "riE0jT3yvpIT"
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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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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 file_split_char
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global stopThread
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global stopThread
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global columnIndexes
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global columnIndexes
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global outputtext
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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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#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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if(not os.path.exists("screenshots")):
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image_folder_production = "screenshots_production/"
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os.makedirs("screenshots", exist_ok=False)
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image_folder_qrcode = "qrcodes/"
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if (not os.path.exists("qrcodes")):
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image_folder_barcharts = "barcharts/"
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os.makedirs("qrcodes", exist_ok=False)
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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(image_folder_barcharts[:-1])):
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os.makedirs(image_folder_barcharts[:-1], 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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#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(len(adress_list)):
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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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coordinates = ("not-found", "not-found")
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found = True
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line = adress_list[i]
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line = adress_list[i]
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adress = line.split(file_split_char)
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adress = line.split(file_split_char)
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barChartMonth = [0] * 12
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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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barChartData = [0] * 12
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print(adress)
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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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search_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
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address_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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print("searching for Address: " + address_string)
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search_bar.send_keys(Keys.CONTROL + "a")
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if(not ((len(adress[columnIndexes[4]]) > 0) and (len(adress[columnIndexes[5]]) > 0))):
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search_bar.send_keys(Keys.DELETE)
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# Get Coordinates for Address
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search_bar.send_keys(search_string)
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try:
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driver.implicitly_wait(10)
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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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# you need the coordinates from other services, once you have them
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found = False
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coordinates = (float(firstLocation['y']), float(firstLocation['x'])) # example coordinates
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suggestions = driver.find_elements(By.XPATH, "//div[@class='tt-suggestion tt-selectable']")
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except:
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for suggestion in suggestions:
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found = False
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if(suggestion.text == search_string):
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else:
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found = True
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# Get Coordinates from File
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suggestion.click()
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coordinate_x = float(adress[columnIndexes[4]]) % 1000000
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driver.implicitly_wait(10)
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coordinate_y = float(adress[columnIndexes[5]]) % 1000000
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break
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coordinates = (coordinate_x, coordinate_y)
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if(found):
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if(found):
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# Get Building ID from coordinates
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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_qrcode)
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# Create Screenshot of Map
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actions = ActionChains(driver)
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try:
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try:
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coordinates_str = ','.join(map(str, coordinates))
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driver.execute_script("""var l = document.getElementsByClassName("ol-zoom ol-unselectable ol-control")[0];
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tolerance = 1
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l.parentNode.removeChild(l);""")
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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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building_id = (response_one_roof_decoded)['results'][0]['attributes']['building_id']
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except:
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except:
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found = False
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pass
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if(found):
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mapElement = driver.find_element(By.XPATH,
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"//div[@id='map']//div[@class='ol-viewport']")
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location = mapElement.location
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size = mapElement.size
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x = location["x"]
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y = location["y"]
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w = x + size["width"]
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h = size["height"]
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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_map)
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time.sleep(0.2)
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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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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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chartElement = driver.find_elements(By.XPATH, "//div[@id='chart']//*")[0]
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params = {
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location = chartElement.location
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'layer': 'ch.bfe.solarenergie-eignung-daecher',
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size = chartElement.size
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'searchField': 'building_id',
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x = location["x"]
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'contains': 'false',
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y = location["y"]
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'searchText': str(building_id),
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w = x + size["width"]
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'returnGeometry': 'false'
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h = size["height"]
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}
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area = (x, 0, w, h)
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response_all_roofs = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find',
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driver.execute_script("window.scrollTo(0, " + str(y) + ")")
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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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barChartMonth = response_all_roofs_decoded[0]['attributes']['monate']
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barChartData = [0] * 12
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for roof in response_all_roofs_decoded:
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energy = float(roof['attributes']['gstrahlung'])*0.2*0.8*electricityUsageFactor
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if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
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time.sleep(1)
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if (energy > bestRoofEnergy):
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driver.save_screenshot(image_folder_production + image_filename_production)
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bestRoofEnergy = energy
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time.sleep(0.2)
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bestRoof = roof
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Image.open(image_folder_production + image_filename_production).crop(area).save(
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for month_count in range(12):
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image_folder_production + image_filename_production)
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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']['flaeche']) * electricityPrice
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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']))
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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 = max(suitabilities)
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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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except:
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found = False
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image_filename_production = "not-found"
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roof_is_suitable = True # TODO decide if roof is suitable
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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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#Check if there is solar panel existing
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address_string_for_existing_solarpanel = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + ", " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
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try:
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params = {
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'searchText': str(address_string_for_existing_solarpanel),
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'searchField': 'address',
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'layer': "ch.bfe.elektrizitaetsproduktionsanlagen",
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'returnGeometry': 'false',
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'contains': 'false'
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}
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repsonse_solar_panel = requests.get('https://api3.geo.admin.ch/rest/services/api/MapServer/find',
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params=params)
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repsonse_solar_panel_decoded = json.loads(repsonse_solar_panel.content.decode())
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results = (repsonse_solar_panel_decoded['results'])
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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_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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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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if(found and createImages.get() > 0 and roof_is_suitable and (not roof_has_solarpanel)):
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image_filename = address_string + ".png"
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barchart_color = ""
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if(suitability == 1):
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barchart_color = "#00c5ff"
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elif(suitability == 2):
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barchart_color = "#ffff00"
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elif(suitability == 3):
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barchart_color = "#ffaa00"
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elif(suitability == 4):
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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)
|
|
||||||
|
|
||||||
|
print(image_filename_map + " was saved.")
|
||||||
else:
|
else:
|
||||||
image_filename = "not-created"
|
url = "not-found"
|
||||||
|
suitability = "not-found"
|
||||||
# print("saving Address: " + address_string)
|
image_filename_map = "not-found"
|
||||||
save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, i,
|
image_filename_production = "not-found"
|
||||||
image_filename, sumEnergyRoofs, sumRoofArea, suitability, url,
|
image_filename_qrcode = "not-found"
|
||||||
value_electricity_production, existing_solar_panel_power, existing_solar_panel_begining_of_operation)
|
pv_Production50 = "not-found"
|
||||||
|
pv_Production75 = "not-found"
|
||||||
if(i % 100 == 0 or i + 1 == address_count):
|
pv_Production100 = "not-found"
|
||||||
save_addresslist_in_file(adress_list, filename_adresslist)
|
value_electricity_production = "not-found"
|
||||||
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)
|
|
||||||
|
|
||||||
|
|
||||||
|
print("not found: " + search_string)
|
||||||
|
|
||||||
|
|
||||||
|
#Write back into file
|
||||||
|
adress[columnIndexes[4]] = url
|
||||||
|
adress[columnIndexes[5]] = suitability
|
||||||
|
adress[columnIndexes[6]] = image_filename_map
|
||||||
|
adress[columnIndexes[7]] = image_filename_production
|
||||||
|
adress[columnIndexes[8]] = image_filename_qrcode
|
||||||
|
adress[columnIndexes[9]] = pv_Production50
|
||||||
|
adress[columnIndexes[10]] = pv_Production75
|
||||||
|
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):
|
if(stopThread == True):
|
||||||
|
|
@ -284,169 +179,12 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
|
||||||
return
|
return
|
||||||
|
|
||||||
|
|
||||||
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, existing_solar_panel_begining_of_operation):
|
|
||||||
# Save Information in Addresslist
|
|
||||||
adress[columnIndexes[4]] = str(coordinates[0])
|
|
||||||
adress[columnIndexes[5]] = str(coordinates[1])
|
|
||||||
adress[columnIndexes[6]] = url
|
|
||||||
adress[columnIndexes[7]] = suitability
|
|
||||||
adress[columnIndexes[8]] = image_filename
|
|
||||||
adress[columnIndexes[9]] = pv_Production100
|
|
||||||
adress[columnIndexes[10]] = value_electricity_production
|
|
||||||
adress[columnIndexes[11]] = roof_area
|
|
||||||
adress[columnIndexes[12]] = existing_solar_panel_power
|
|
||||||
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(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
|
|
||||||
global dolibarrStateID
|
|
||||||
global dolibarrCountryID
|
|
||||||
global dolibarrCountryCode
|
|
||||||
global dolibarrURL
|
|
||||||
global dolibarrApiKey
|
|
||||||
params = {
|
|
||||||
"name": "unbekannt",
|
|
||||||
"address": street,
|
|
||||||
"zip": plz,
|
|
||||||
"town": city,
|
|
||||||
"state_id": dolibarrStateID,
|
|
||||||
"client": "2",
|
|
||||||
"code_client": "FID-" + featureId,
|
|
||||||
"note_public": "",
|
|
||||||
"status_prospect_label": "Jamais contacté",
|
|
||||||
"array_options": {
|
|
||||||
"options_energy": str(sumEnergyRoofs),
|
|
||||||
"options_energy_value": str(float(sumEnergyRoofs) * electricityPrice),
|
|
||||||
"options_roof_size": str(sumRoofArea),
|
|
||||||
"options_avrg_suitability": str(suitability),
|
|
||||||
"options_geomx": str(coordinates[0]),
|
|
||||||
"options_geomy": str(coordinates[1]),
|
|
||||||
"options_roof_info": create_roof_info(roofs),
|
|
||||||
"options_sonnendach_url": url
|
|
||||||
},
|
|
||||||
"country_id": dolibarrCountryID,
|
|
||||||
"country_code": dolibarrCountryCode
|
|
||||||
}
|
|
||||||
headers = {
|
|
||||||
"Content-Type": "application/json",
|
|
||||||
"Accept": "application/json",
|
|
||||||
"DOLAPIKEY": dolibarrApiKey
|
|
||||||
}
|
|
||||||
response = json.loads(requests.post(dolibarrURL, json=params, headers=headers).content.decode())
|
|
||||||
# print(params)
|
|
||||||
# print(response)
|
|
||||||
|
|
||||||
def create_roof_info(roofs):
|
|
||||||
info_text = ""
|
|
||||||
for i in range(len(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, image_folder_barcharts, url, barChartMonth, barChartData, barchart_color):
|
|
||||||
driver.get(url)
|
|
||||||
time.sleep(2)
|
|
||||||
|
|
||||||
# Create QR-Code
|
|
||||||
qr = qrcode.QRCode(version=1, box_size=10, border=5)
|
|
||||||
qr.add_data(url)
|
|
||||||
qr.make(fit=True)
|
|
||||||
qr.make_image(fill='black', back_color='white').save(image_folder_qrcode + image_filename)
|
|
||||||
|
|
||||||
# Create Screenshot of Map
|
|
||||||
actions = ActionChains(driver)
|
|
||||||
try:
|
|
||||||
driver.execute_script("""var l = document.getElementsByClassName("ol-zoom ol-unselectable ol-control")[0];
|
|
||||||
l.parentNode.removeChild(l);""")
|
|
||||||
except:
|
|
||||||
pass
|
|
||||||
|
|
||||||
mapElement = driver.find_element(By.XPATH,
|
|
||||||
"//div[@id='map']//div[@class='ol-viewport']")
|
|
||||||
location = mapElement.location
|
|
||||||
size = mapElement.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_map + image_filename)
|
|
||||||
time.sleep(0.2)
|
|
||||||
Image.open(image_folder_map + image_filename).crop(area).save(
|
|
||||||
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) + ")")
|
|
||||||
#
|
|
||||||
# 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')
|
|
||||||
|
|
||||||
except:
|
|
||||||
pass
|
|
||||||
|
|
||||||
|
|
||||||
def read_adresslist(filename_adresslist):
|
def read_adresslist(filename_adresslist):
|
||||||
returnvalues = []
|
returnvalues = []
|
||||||
try:
|
try:
|
||||||
print("reading File", filename_adresslist)
|
|
||||||
adress_file = open(filename_adresslist, "r", encoding="utf-8")
|
adress_file = open(filename_adresslist, "r", encoding="utf-8")
|
||||||
adress_list = adress_file.read().splitlines()
|
adress_list = adress_file.read().splitlines()
|
||||||
adress_file.close()
|
adress_file.close()
|
||||||
print("closed File", filename_adresslist)
|
|
||||||
returnvalues.append(True)
|
returnvalues.append(True)
|
||||||
returnvalues.append(adress_list)
|
returnvalues.append(adress_list)
|
||||||
except:
|
except:
|
||||||
|
|
@ -494,7 +232,7 @@ def command():
|
||||||
thread_search_adresses.join()
|
thread_search_adresses.join()
|
||||||
except:
|
except:
|
||||||
pass
|
pass
|
||||||
print("Threads are closed")
|
print("Thread is closed")
|
||||||
root.quit()
|
root.quit()
|
||||||
print("Application is closed")
|
print("Application is closed")
|
||||||
driver.quit()
|
driver.quit()
|
||||||
|
|
@ -505,7 +243,7 @@ def command():
|
||||||
outputtext = outputtext + "Searching File " + filename_adresslist + "\n"
|
outputtext = outputtext + "Searching File " + filename_adresslist + "\n"
|
||||||
mainText.config(text=outputtext)
|
mainText.config(text=outputtext)
|
||||||
adress_list_result = read_adresslist(filename_adresslist)
|
adress_list_result = read_adresslist(filename_adresslist)
|
||||||
if(adress_list_result[0]):
|
if(adress_list_result):
|
||||||
adresslist = adress_list_result[1]
|
adresslist = adress_list_result[1]
|
||||||
outputtext = outputtext + "File " + filename_adresslist + " found." + "\n"
|
outputtext = outputtext + "File " + filename_adresslist + " found." + "\n"
|
||||||
mainText.config(text=outputtext)
|
mainText.config(text=outputtext)
|
||||||
|
|
@ -559,6 +297,7 @@ def command_exit():
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
root = tkinter.Tk()
|
root = tkinter.Tk()
|
||||||
root.protocol("WM_DELETE_WINDOW", command_exit)
|
root.protocol("WM_DELETE_WINDOW", command_exit)
|
||||||
root.wm_title("Sonnendach")
|
root.wm_title("Sonnendach")
|
||||||
|
|
@ -573,11 +312,10 @@ for i in range(len(DropDownLabels)):
|
||||||
|
|
||||||
frameButtons = tkinter.Frame(root)
|
frameButtons = tkinter.Frame(root)
|
||||||
frameButtons.grid(row=3, column=1)
|
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 = 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)
|
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")
|
button2 = tkinter.Button(frameButtons, text="EXIT", command=command_exit, width=20, height=2, bg="#FCCA03")
|
||||||
button2.grid(row=3, column=2, padx=10, pady=3)
|
button2.grid(row=3, column=2, padx=10, pady=3)
|
||||||
root.mainloop()
|
root.mainloop()
|
||||||
|
|
||||||
|
|
||||||
|
|
|
||||||
Binary file not shown.
Binary file not shown.
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