Sonnendach.py

@@ -16,7 +16,7 @@ from selenium.webdriver.common.action_chains import ActionChains
 import json
 import requests
 
-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"]
+DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "coordinate X", "coordinate Y", "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"]
 file_split_char = ","
 OptionList = []
 exit = False
@@ -49,117 +49,25 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
     address_count = len(adress_list)
     #Search for each adress in the list and create screenshots and qrcodes
     for i in range(address_count):
+        url = "not-found"
+        suitability = "not-found"
+        pv_Production50 = "not-found"
+        pv_Production75 = "not-found"
+        pv_Production100 = "not-found"
+        value_electricity_production = "not-found"
+        roof_area = "not-found"
+        found = True
         line = adress_list[i]
         adress = line.split(file_split_char)
-        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)):
+        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)))):
-            search_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
+            address_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
-
+            if(not ((len(adress[columnIndexes[4]]) > 0) and (len(adress[columnIndexes[5]]) > 0))):
-            if(createImages.get() > 0):
+                # Get Coordinates for Address
-                search_bar = driver.find_element(By.ID, "searchTypeahead1")
-                search_bar.send_keys(Keys.CONTROL + "a")
-                search_bar.send_keys(Keys.DELETE)
-                search_bar.send_keys(search_string)
-                driver.implicitly_wait(10)
-                time.sleep(0.7)
-                found = False
-                suggestions = driver.find_elements(By.XPATH, "//div[@class='tt-suggestion tt-selectable']")
-                for suggestion in suggestions:
-                    if(suggestion.text == search_string):
-                        found = True
-                        suggestion.click()
-                        driver.implicitly_wait(10)
-                        break
-
-                if(found):
-                    time.sleep(0.7)
-                    url = driver.current_url
-                    suitability = driver.find_element(By.ID, "eignung").text
-                    pv_Production50 = driver.find_element(By.ID, "pv50").text.replace("'", "")
-                    pv_Production75 = driver.find_element(By.ID, "pv75").text.replace("'", "")
-                    pv_Production100 = driver.find_element(By.ID, "pv100").text.replace("'", "")
-                    value_electricity_production = driver.find_elements(By.XPATH, "//h2[@id='TitelSolarstrom']//strong")[2].text.replace("'", "").replace(" Franken", "")
-                    roof_area = driver.find_element(By.ID, "areaOutput").text
-
-                    time.sleep(2)
-                    image_filename = suitability + " - " + search_string
-                    image_folder_map = "screenshots/"
-                    image_filename_map = image_filename + " map" + ".png"
-                    image_folder_production = "screenshots/"
-                    image_filename_production = image_filename + " production" + ".png"
-                    image_folder_qrcode = "qrcodes/"
-                    image_filename_qrcode = image_filename + " qrcode" + ".png"
-
-                    # 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_qrcode)
-
-                    # 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_map)
-                    time.sleep(0.2)
-                    Image.open(image_folder_map + image_filename_map).crop(area).save(
-                        image_folder_map + image_filename_map)
-
-                    # 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_production)
-                        time.sleep(0.2)
-                        Image.open(image_folder_production + image_filename_production).crop(area).save(
-                            image_folder_production + image_filename_production)
-                    except:
-                        image_filename_production = "not-found"
-
-                    print("saved Address: " + search_string)
-                else:
-                    url = "not-found"
-                    suitability = "not-found"
-                    image_filename_map = "not-found"
-                    image_filename_production = "not-found"
-                    image_filename_qrcode = "not-found"
-                    pv_Production50 = "not-found"
-                    pv_Production75 = "not-found"
-                    pv_Production100 = "not-found"
-                    value_electricity_production = "not-found"
-                    roof_area = "not-found"
-
-                    print("not found: " + search_string)
-
-            else: # If no images must be created
                 try:
                     # Address to coordinates
                     params = {
                         "type": "locations",
-                        "searchText": search_string,
+                        "searchText": address_string,
                         "lang": "de"}
                     locationsResponse = requests.get('https://api3.geo.admin.ch/rest/services/api/SearchServer',
                                                      params=params)
@@ -167,10 +75,20 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
                     firstLocation = locations['results'][0]['attrs']
 
                     # you need the coordinates from other services, once you have them
-                    coordinates = (firstLocation['y'], firstLocation['x'])  # example coordinates
+                    coordinates = (float(firstLocation['y']), float(firstLocation['x']))  # example coordinates
+                except:
+                    found = False
+            else:
+                # Get Coordinates from File
+                coordinate_x = float(adress[columnIndexes[4]]) % 1000000
+                coordinate_y = float(adress[columnIndexes[5]]) % 1000000
+                coordinates = (coordinate_x, coordinate_y)
+
+            if(found):
+                # Get Building ID from coordinates
+                try:
                     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,
@@ -195,7 +113,11 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
                     # for result in results:
                     #     print(result)
                     building_id = (response_one_roof_decoded)['results'][0]['attributes']['building_id']
+                except:
+                    found = False
 
+            if(found):
+                try:
                     # use the building_id of previous request to get all roofs associated with this building_id
                     params = {
                         'layer': 'ch.bfe.solarenergie-eignung-daecher',
@@ -213,52 +135,45 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
                             best_roof = roof
                     url = "https://www.uvek-gis.admin.ch/BFE/sonnendach/index.html?featureId=" + str(best_roof['featureId']) + "&lang=de"
                     suitability = str(best_roof['attributes']['klasse'])
-                    image_filename_map = "not-created"
-                    image_filename_production = "not-created"
-                    image_filename_qrcode = "not-created"
                     pv_Production100 = str(float(best_roof['attributes']['gstrahlung'])*0.2*0.8)
                     pv_Production75 = str(float(pv_Production100) * 0.75)
                     pv_Production50 = str(float(pv_Production100) * 0.5)
                     value_electricity_production = str(best_roof['attributes']['finanzertrag'])
                     roof_area = str(best_roof['attributes']['flaeche'])
-                    print("saved Address: " + search_string)
                 except:
-                    url = "not-found"
+                    found = False
-                    suitability = "not-found"
+
-                    image_filename_map = "not-found"
+            roof_is_suitable = True # TODO decide if roof is suitable
-                    image_filename_production = "not-found"
+
-                    image_filename_qrcode = "not-found"
+            if(found and createImages.get() > 0 and roof_is_suitable):
-                    pv_Production50 = "not-found"
+                image_filename = suitability + " - " + address_string
-                    pv_Production75 = "not-found"
+                image_folder_map = "screenshots/"
-                    pv_Production100 = "not-found"
+                image_filename_map = image_filename + " map" + ".png"
-                    value_electricity_production = "not-found"
+                image_folder_production = "screenshots/"
-                    roof_area = "not-found"
+                image_filename_production = image_filename + " production" + ".png"
+                image_folder_qrcode = "qrcodes/"
+                image_filename_qrcode = image_filename + " qrcode" + ".png"
+                create_images(address_string, driver, image_filename_map, image_filename_production,
+                              image_filename_qrcode, image_folder_map, image_folder_production, image_folder_qrcode,
+                              url)
+
+            else:
+                image_filename_map = "not-created"
+                image_filename_production = "not-created"
+                image_filename_qrcode = "not-created"
+
+            save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, i,
+                                            image_filename_map, image_filename_production, image_filename_qrcode,
+                                            pv_Production100, pv_Production50, pv_Production75, roof_area, suitability,
+                                            url, value_electricity_production)
+
+            save_addresslist_in_file(adress_list, filename_adresslist)
+
+            print("saved Address: " + address_string)
             print("Address " + str(i) + " of " + str(address_count))
             timediff = relativedelta(datetime.datetime.now(), startTime)
-            print("Process is running since %d years %d months %d days %d hours %d minutes %d seconds" % (timediff.years, timediff.months, timediff.days, timediff.hours, timediff.minutes, timediff.seconds))
+            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))
-
-            #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[columnIndexes[13]] = roof_area
-            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):
@@ -270,6 +185,96 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
     print("closing Thread")
     return
 
+
+def save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, list_index,
+                                    image_filename_map, image_filename_production, image_filename_qrcode,
+                                    pv_Production100, pv_Production50, pv_Production75, roof_area, suitability, url,
+                                    value_electricity_production):
+    # 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_map
+    adress[columnIndexes[9]] = image_filename_production
+    adress[columnIndexes[10]] = image_filename_qrcode
+    adress[columnIndexes[11]] = pv_Production50
+    adress[columnIndexes[12]] = pv_Production75
+    adress[columnIndexes[13]] = pv_Production100
+    adress[columnIndexes[14]] = value_electricity_production
+    adress[columnIndexes[15]] = roof_area
+    new_line_string = ""
+    for j in adress:
+        new_line_string = new_line_string + j + file_split_char
+    adress_list[list_index] = new_line_string
+
+
+def save_addresslist_in_file(adress_list, filename_adresslist):
+    new_adress_list = ""
+    for j in adress_list:
+        new_adress_list = new_adress_list + (j) + "\n"
+    # save File
+    adress_file = open(filename_adresslist, "w", encoding="utf-8")
+    adress_file.write(new_adress_list)
+    adress_file.close()
+
+
+def create_images(address_string, driver, image_filename_map, image_filename_production, image_filename_qrcode,
+                  image_folder_map, image_folder_production, image_folder_qrcode, url):
+    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_qrcode)
+
+    # 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_map)
+    time.sleep(0.2)
+    Image.open(image_folder_map + image_filename_map).crop(area).save(
+        image_folder_map + image_filename_map)
+
+    # 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_production)
+        time.sleep(0.2)
+        Image.open(image_folder_production + image_filename_production).crop(area).save(
+            image_folder_production + image_filename_production)
+    except:
+        pass
+
+
 def read_adresslist(filename_adresslist):
     returnvalues = []
     try:
@@ -323,7 +328,7 @@ def command():
             thread_search_adresses.join()
         except:
             pass
-        print("Thread is closed")
+        print("Threads are closed")
         root.quit()
         print("Application is closed")
         driver.quit()
@@ -388,7 +393,6 @@ def command_exit():
 
 
 
-
 root = tkinter.Tk()
 root.protocol("WM_DELETE_WINDOW", command_exit)
 root.wm_title("Sonnendach")

api-Test.py

@@ -22,6 +22,7 @@ tolerance=1
 # 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",
@@ -33,12 +34,12 @@ params={
 "order":"distance",
 "lang":"de",
 }
-# retrieve one roof and the building_id associated
+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:
+for result in results:
-#     print(result['attributes']['building_id'])
+    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
@@ -49,7 +50,6 @@ params = {
 '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: