changed search to use Geo Admin API and calculate sum of all roofs.
added functionality to add addresses to dolibarr
This commit is contained in:
schrom01
parent
fbe475f222
commit
db2bda5bc0
108
Sonnendach.py
108
Sonnendach.py
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@ -15,9 +15,13 @@ from dateutil.relativedelta import relativedelta
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from selenium.webdriver.common.action_chains import ActionChains
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import json
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import requests
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import statistics
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DropDownLabels = ["Street: ", "Number: ", "Postal code: ", "City: ", "coordinate X", "coordinate Y", "Sonnendach URL: ", "Suitability:", "Image Filename: ", "PV Production 100", "Value Electricity production", "Roof area"]
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file_split_char = ","
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minRoofSize = 2
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minSuitability = 3
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electricityPrice = 0.1
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OptionList = []
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exit = False
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stopThread = False
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@ -29,15 +33,27 @@ driver = webdriver.Chrome(service=service)
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driver.minimize_window()
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outputtext = "Welcome to application Sonnendach\n"
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columnIndexes = []
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storeToDolibarr = True
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dolibarrURL = ""
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dolibarrApiKey = ""
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dolibarrCountryID = "6" # 6 = Schweiz
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dolibarrCountryCode = "CH"
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dolibarrStateID = "403" # 403 = Kanton Zürich
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def search_adresses(adress_list, filename_adresslist, driver, mainText):
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print("function to search Addresses called")
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global file_split_char
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global stopThread
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global columnIndexes
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global outputtext
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global checkBoxCreateImages
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global minRoofSize
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global minSuitability
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global electricityPrice
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global storeToDolibarr
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global dolibarrURL
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global dolibarrApiKey
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#Create Direcotrys to save screenshots and qrcodes if they don't exist yet.
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image_folder_map = "screenshots_map/"
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@ -53,17 +69,21 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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startTime = datetime.datetime.now()
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address_count = len(adress_list)
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#Search for each adress in the list and create screenshots and qrcodes
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print("Starting Address Loop")
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for i in range(address_count):
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url = "not-found"
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suitability = "not-found"
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pv_Production100 = "not-found"
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sumEnergyRoofs = "not-found"
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value_electricity_production = "not-found"
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roof_area = "not-found"
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sumRoofArea = "not-found"
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featureId = "not-found"
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response_all_roofs_decoded = "not-found"
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found = True
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line = adress_list[i]
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adress = line.split(file_split_char)
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if((line != adress_list[0]) and (adress[columnIndexes[6]] == "") and (((len(adress[columnIndexes[0]]) > 0) and (len(adress[columnIndexes[1]]) > 0) and (len(adress[columnIndexes[2]]) > 0) and (len(adress[columnIndexes[3]]) > 0)) or ((len(adress[columnIndexes[4]]) > 0) and (len(adress[columnIndexes[5]]) > 0)))):
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address_string = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]] + " " + adress[columnIndexes[2]] + " " + adress[columnIndexes[3]]
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print("searching for Address: " + address_string)
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if(not ((len(adress[columnIndexes[4]]) > 0) and (len(adress[columnIndexes[5]]) > 0))):
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# Get Coordinates for Address
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try:
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@ -133,15 +153,25 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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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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best_roof = response_all_roofs_decoded[0] # TODO: Find best roof
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sumEnergyRoofs = 0
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sumRoofArea = 0
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suitabilities = []
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bestRoofEnergy = 0
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bestRoof = response_all_roofs_decoded[0]
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for roof in response_all_roofs_decoded:
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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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pv_Production100 = str(float(best_roof['attributes']['gstrahlung'])*0.2*0.8)
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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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energy = float(roof['attributes']['gstrahlung'])*0.2*0.8
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if(energy > bestRoofEnergy):
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bestRoofEnergy = energy
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bestRoof = roof
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if(float(roof['attributes']['flaeche']) > minRoofSize and int(roof['attributes']['klasse']) >= minSuitability):
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sumEnergyRoofs = sumEnergyRoofs + energy
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sumRoofArea = sumRoofArea + float(roof['attributes']['flaeche'])
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suitabilities.append(int(roof['attributes']['klasse']) * float(roof['attributes']['flaeche']))
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featureId = str(bestRoof['featureId'])
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url = "https://www.uvek-gis.admin.ch/BFE/sonnendach/index.html?featureId=" + featureId + "&lang=de"
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suitability = statistics.mean(suitabilities) / sumRoofArea
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value_electricity_production = sumEnergyRoofs * electricityPrice
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else:
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found = False
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except:
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@ -157,12 +187,20 @@ def search_adresses(adress_list, filename_adresslist, driver, mainText):
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else:
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image_filename = "not-created"
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print("saving Address: " + address_string)
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save_information_to_addresslist(adress, adress_list, columnIndexes, coordinates, file_split_char, i,
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image_filename, pv_Production100, roof_area, suitability, url,
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image_filename, sumEnergyRoofs, sumRoofArea, suitability, url,
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value_electricity_production)
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save_addresslist_in_file(adress_list, filename_adresslist)
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if(found):
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street = adress[columnIndexes[0]] + " " + adress[columnIndexes[1]]
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plz = adress[columnIndexes[2]]
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city = adress[columnIndexes[3]]
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create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, response_all_roofs_decoded)
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print("saved Address: " + address_string)
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print("Address " + str(i) + " of " + str(address_count))
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timediff = relativedelta(datetime.datetime.now(), startTime)
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@ -194,7 +232,7 @@ def save_information_to_addresslist(adress, adress_list, columnIndexes, coordina
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adress[columnIndexes[11]] = roof_area
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new_line_string = ""
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for j in adress:
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new_line_string = new_line_string + j + file_split_char
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new_line_string = new_line_string + str(j) + file_split_char
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adress_list[list_index] = new_line_string
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@ -207,6 +245,50 @@ def save_addresslist_in_file(adress_list, filename_adresslist):
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adress_file.write(new_adress_list)
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adress_file.close()
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def create_Partner_in_dolibarr(street, plz, city, coordinates, sumEnergyRoofs, sumRoofArea, suitability, featureId, url, roofs):
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global electricityPrice
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global dolibarrStateID
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global dolibarrCountryID
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global dolibarrCountryCode
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global dolibarrURL
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global dolibarrApiKey
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params = {
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"name": "unbekannt",
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"address": street,
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"zip": plz,
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"town": city,
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"state_id": dolibarrStateID,
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"client": "2",
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"code_client": "FID-" + featureId,
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"note_public": "",
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"status_prospect_label": "Jamais contacté",
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"array_options": {
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"options_energy": str(sumEnergyRoofs),
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"options_energy_value": str(float(sumEnergyRoofs) * electricityPrice),
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"options_roof_size": str(sumRoofArea),
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"options_avrg_suitability": str(suitability),
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"options_geomx": str(coordinates[0]),
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"options_geomy": str(coordinates[1]),
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"options_roof_info": create_roof_info(roofs),
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"options_sonnendach_url": url
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},
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"country_id": dolibarrCountryID,
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"country_code": dolibarrCountryCode
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}
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headers = {
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"Content-Type": "application/json",
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"Accept": "application/json",
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"DOLAPIKEY": dolibarrApiKey
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}
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response = json.loads(requests.post(dolibarrURL, json=params, headers=headers).content.decode())
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# print(params)
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# print(response)
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def create_roof_info(roofs):
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info_text = ""
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for i in range(len(roofs)):
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info_text = info_text + str(i + 1) + ". Fläche\n" + "Potenzielle Energie: " + str(roofs[i]['attributes']['gstrahlung']*0.2*0.8) + "\nFläche: " + str(roofs[i]['attributes']['flaeche']) + "\nEignung: " + str(roofs[i]['attributes']['klasse']) + " (" + str(roofs[i]['attributes']['klasse_text']).split("##")[0] + ")\n\n"
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return info_text
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def create_images(address_string, driver, image_filename, image_folder_map, image_folder_production, image_folder_qrcode, url):
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driver.get(url)
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