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How to use cliquer method in SeleniumBase
Best Python code snippet using SeleniumBase
Cliquer_file.py
Source:Cliquer_file.py 
1import pandas as pd2import numpy as np3import multiprocessing4import time 5import os6import argparse7#Path1 = '/home/rhuang06/Documents/Annotation_pipeline/Proccessed_Data/ORTH'8#Path2 = "/home/rhuang06/Documents/Annotation_pipeline"9#ori_Path = Path2 + "/" +"Proccessed_Data" + "/" + "Fuse_Orth_file" + "/" + "Fuse_orth_file.csv"10#index_Path = Path2 + "/" +"Proccessed_Data" + "/" + "Fuse_Orth_file" + "/" + "Cliquer_index_file.csv"11#Path3 = Path2 + "/" +"Proccessed_Data" + "/" + "Fuse_Orth_file"12# parsing the arguments and warning message13ap = argparse.ArgumentParser(description="Translate Ortholog gene ID to number index based on index file with multipleprocessing")14ap.add_argument("-path",required=False,15 help="Path of folder that containing all folders that have all Orthologues")16ap.add_argument("-outpath",required=False,17 help="Path of directory you want to put output files")18ap.add_argument("-n", required = False, help = "Number of processes for multiple processing")19args = vars(ap.parse_args())20Path1 = args["path"]21Path2 = args["outpath"]22Path1 = '/home/rhuang06/Documents/Annotation_pipeline/Proccessed_Data/ORTH'23Path2 = "/home/rhuang06/Documents/Annotation_pipeline"24Path3 = Path2 + "/" +"Proccessed_Data" + "/" + "Fuse_Orth_file"25#Transfer ortholog ID to number index based on index file26def transfer(item): 27 Path = Path328 index_df = pd.read_csv(Path + "/Cliquer_index_file.csv", engine= "python")29 index_dict = dict(zip(index_df["Gene stable ID"],index_df["Number"]))30 file_list = os.listdir(Path + "/Reduced_orth")31 file_abspath_list = list()32 for f in file_list:33 f_absname = Path + "/Reduced_orth/" + f34 file_abspath_list.append(f_absname) 35 print("Processing " + "file " + os.path.basename(file_abspath_list[item]))36 with open(file_abspath_list[item],"r") as h:37 ori_file = h.readlines()38 #ori_df = pd.read_csv(file_abspath_list[item], engine= "python")39 name = os.path.basename(file_abspath_list[item])40 #number_list = []41 '''for id in range(ori_df.shape[0]):42 orth = list(ori_df.iloc[id,:])43 index1 = index_df.loc[index_df["Gene stable ID"] == orth[0]]44 index2 = index_df.loc[index_df["Gene stable ID"] == orth[1]]45 index1 = index1.values46 index1 = index1.tolist()47 index2 = index2.values48 index2 = index2.tolist()49 number = ["e",index1[0][1],index2[0][1]] #1:gene id 2:orth gene id 50 number_list.append(number)''' 51 cliq_file = open(Path + "/" + "file" + "/Cliquer_temp_" + name, "w+")52 for num,id in enumerate(ori_file):53 id_line = id.split(",")54 id_line = [id_line[0],id_line[1].strip("\n")]55 #print(id_line)56 if num != 0:57 cliq_line = "e,{},{}\n".format(index_dict[id_line[0]],index_dict[id_line[1]])58 else:59 cliq_line = ""60 cliq_file.write(cliq_line)61 cliq_file.close()62 63 #number_df = pd.DataFrame(number_list)64 #number_df.to_csv(Path + "/" + "file" + "/Cliquer_temp_" + name,index = None, header= False)65 print("file" + os.path.basename(file_abspath_list[item]) +" finished")66#Transfer ortholog ID to number index based on index file67def transfer_one(item): 68 Path = Path369 index_df = pd.read_csv(Path + "/Cliquer_index_one_file.csv", engine= "python")70 index_dict = dict(zip(index_df["Gene stable ID"],index_df["Number"]))71 file_list = os.listdir(Path + "/Reduced_one2one_orth")72 file_abspath_list = list()73 for f in file_list:74 f_absname = Path + "/Reduced_one2one_orth/" + f75 file_abspath_list.append(f_absname)76 print("Processing " + "file " + os.path.basename(file_abspath_list[item]))77 with open(file_abspath_list[item],"r") as h:78 ori_file = h.readlines()79 name = os.path.basename(file_abspath_list[item])80 cliq_file = open(Path + "/" + "one_file" + "/Cliquer_one_temp_" + name, "w+")81 for num,id in enumerate(ori_file):82 id_line = id.split(",")83 id_line = [id_line[0],id_line[1].strip("\n")]84 #print(id_line)85 if num != 0:86 cliq_line = "e,{},{}\n".format(index_dict[id_line[0]],index_dict[id_line[1]])87 else:88 cliq_line = ""89 cliq_file.write(cliq_line)90 cliq_file.close() 91 #number_df = pd.DataFrame(number_list)92 #number_df.to_csv(Path + "/" + "one_file" + "/Cliquer_one_temp_" + name,index = None, header= False)93 print("file " + os.path.basename(file_abspath_list[item]) +" finished")94def fuse_file(path,mode):95 if mode == "all":96 files = os.listdir(path + "/" + "file")97 files.sort()98 fuse = pd.DataFrame()99 print("\nFuse files")100 for file in files:101 df = pd.read_csv(path + "/" + "file" + "/" + file, header= None)102 fuse = fuse.append(df)103 fuse.to_csv(path + "/" + "Cliquer_temp_file.csv", index = False, header = False)104 elif mode == "one":105 files = os.listdir(path + "/" + "one_file")106 files.sort()107 fuse = pd.DataFrame()108 print("\nFuse files")109 for file in files:110 df = pd.read_csv(path + "/" + "one_file" + "/" + file, header= None)111 fuse = fuse.append(df)112 fuse.to_csv(path + "/" + "Cliquer_temp_one_file.csv", index = False, header = False)113def top_line(path,out,mode):114 if mode == "all":115 df = pd.read_csv(path, header = None)116 column1 = df.iloc[:,1]117 column2 = df.iloc[:,2]118 column = column1.append(column2)119 column = column.drop_duplicates()120 number_node = column.shape[0]121 number_edge = df.shape[0]122 df2 = pd.DataFrame([["p",number_node,number_edge]])123 df2 = df2.append(df)124 df2.to_csv(out + "/" + "Final_Cliquer_file.csv", index = None, header =False)125 elif mode == "one":126 df = pd.read_csv(path, header = None)127 column1 = df.iloc[:,1]128 column2 = df.iloc[:,2]129 column = column1.append(column2)130 column = column.drop_duplicates()131 number_node = column.shape[0]132 number_edge = df.shape[0]133 df2 = pd.DataFrame([["p",number_node,number_edge]])134 df2 = df2.append(df)135 df2.to_csv(out + "/" + "Final_Cliquer_one_file.csv", index = None, header =False)136 137def final_process(path,mode):138 if mode == "all":139 file = open(path + "/" + "Final_Cliquer_file.csv", "r")140 data = file.read()141 data = data.replace(","," ")142 with open(path + "/" + "Final_Cliquer_file.csv", "w+") as f:143 f.write(data)144 os.rename(path + "/" + "Final_Cliquer_file.csv", path + "/" + "Final_Cliquer_file.txt")145 elif mode == "one":146 file = open(path + "/" + "Final_Cliquer_one_file.csv", "r")147 data = file.read()148 data = data.replace(","," ")149 with open(path + "/" + "Final_Cliquer_one_file.csv", "w+") as f:150 f.write(data)151 os.rename(path + "/" + "Final_Cliquer_one_file.csv", path + "/" + "Final_Cliquer_one_file.txt")152def add_name(path,mode):153 if mode == "all":154 file = open(path + "/" + "Final_Cliquer_file.txt", "r")155 data = file.readline()156 data = data.split(" ")157 data.insert(1,"animal")158 data[0] = data[0] + " "159 data[1] = data[1] + " "160 data[2] = data[2] + " "161 data = "".join(data)162 oline = file.readlines()163 oline.insert(0,data)164 file = open(path + "/" + "Final_Cliquer_file.txt", "w")165 file.writelines(oline)166 file.close()167 elif mode == "one":168 file = open(path + "/" + "Final_Cliquer_one_file.txt", "r")169 data = file.readline()170 data = data.split(" ")171 data.insert(1,"animal")172 data[0] = data[0] + " "173 data[1] = data[1] + " "174 data[2] = data[2] + " "175 data = "".join(data)176 oline = file.readlines()177 oline.insert(0,data)178 file = open(path + "/" + "Final_Cliquer_one_file.txt", "w")179 file.writelines(oline)180 file.close()181#code for all orthologs182'''if __name__ == '__main__':183 start_time = time.time()184 length = os.listdir(Path3 + "/Reduced_orth")185 if not os.path.exists(Path3 + "/" + "file"):186 os.mkdir(Path3 + "/" + "file")187 pool = multiprocessing.Pool(processes=8) 188 pool.map(transfer,range(len(length)))189 pool.close()190 fuse_file(Path3,"all")191 top_line(Path3 + "/" + "Cliquer_temp_file.csv", Path3,"all")192 final_process(Path3,"all")193 add_name(Path3,"all")194 end_time = time.time() - start_time195 print("In total cost " + str((end_time/60)) + " mins")'''196#code for one to one orthologs197if __name__ == '__main__':198 start_time = time.time()199 length = os.listdir(Path3 + "/Reduced_one2one_orth")200 if not os.path.exists(Path3 + "/" + "one_file"):201 os.mkdir(Path3 + "/" + "one_file")202 pool = multiprocessing.Pool(processes=7) 203 pool.map(transfer_one,range(len(length)))204 pool.close()205 fuse_file(Path3,"one")206 top_line(Path3 + "/" + "Cliquer_temp_one_file.csv", Path3, "one")207 final_process(Path3,"one")208 add_name(Path3,"one")209 if os.path.exists(Path3 + "/" + "Cliquer_temp_one_file.csv") is True:210 os.remove(Path3 + "/" + "Cliquer_temp_one_file.csv")211 if os.path.exists(Path3 + "/" + "Cliquer_temp_file.csv") is True:212 os.remove(Path3 + "/" + "Cliquer_temp_file.csv")213 end_time = time.time() - start_time...
GestionAlertes.py
Source:GestionAlertes.py
1# Test Cases2# 1- Importer webdriver3# 2- Créer une instance de Chrome et agrandir la fenêtre4# 3- Ouvrir la page https://the-internet.herokuapp.com/javascript_alerts5# 4- Fenêtre principale : Cliquer sur le bouton Alert6# 5- Passer à la fenêtre d'Alerte7# 6- Alerte : Récupérer le message de la fenêtre d'Alerte8# 7- Alerte : Cliquer sur OK9# 8- Fenêtre principale : Imprimer le message affiché result10# 9- Fenêtre principale : Cliquer sur le 2ième bouton11# 10- Passer à la fenêtre de Confirmation12# 11- Confirmation : Récupérer le message de la fenêtre de Confirmation13# 12- Confirmation : Cliquer sur Annuler14# 13- Fenêtre principale : Imprimer le message affiché result15# 14- Fenêtre principale : Cliquer sur le bouton dont le texte est 'Click for JS Prompt'16# 15- Passer à la fenêtre de Prompt17# 16- Prompt : Récupérer le message de la fenêtre de prompt18# 17- Prompt : Saisir 'hoooohooooo'19# 18- Prompt : accepter20# 19- Fenêtre principale : Imprimer le message affiché result21# 20- Fermer toutes les fenêtres22import time23# 1- Importer webdriver24from selenium import webdriver25from selenium.webdriver.common.by import By26# 2- Créer une instance de Chrome et agrandir la fenêtre27driver = webdriver.Chrome()28driver.maximize_window()29# 3- Ouvrir la page https://the-internet.herokuapp.com/javascript_alerts30driver.get('https://the-internet.herokuapp.com/javascript_alerts')31# 4- Fenêtre principale : Cliquer sur le bouton Alert32driver.find_element(By.XPATH, "//button[contains(text(), 'Alert')]").click()33# 5- Passer à la fenêtre d'Alerte34alert_window = driver.switch_to.alert35# 6- Alerte : Récupérer le message de la fenêtre d'Alerte36print("le texte de l'alerte est : ", alert_window.text)37time.sleep(1)38# 7- Alerte : Cliquer sur OK39alert_window.accept()40# 8- Fenêtre principale : Imprimer le message affiché result41print(driver.find_element(By.ID, "result").text)42time.sleep(1)43# 9- Fenêtre principale : Cliquer sur le 2ième bouton44driver.find_element(By.XPATH, "(//button)[2]").click()45# 10- Passer à la fenêtre de Confirmation46confirm_window = driver.switch_to.alert47# 11- Confirmation : Récupérer le message de la fenêtre de Confirmation48print("texte de la confirmation : ", confirm_window.text)49time.sleep(1)50# 12- Confirmation : Cliquer sur Annuler51confirm_window.dismiss()52time.sleep(1)53# 13- Fenêtre principale : Imprimer le message affiché result54print(driver.find_element(By.ID, "result").text)55# 14- Fenêtre principale : Cliquer sur le bouton dont le texte est 'Click for JS Prompt'56driver.find_element(By.XPATH, "//button[text()='Click for JS Prompt']").click()57# 15- Passer à la fenêtre de Prompt58prompt_window = driver.switch_to.alert59# 16- Prompt : Récupérer le message de la fenêtre de prompt60print("message prompt : ", prompt_window.text)61# 17- Prompt : Saisir 'hoooohooooo'62prompt_window.send_keys('hoooohooooo')63time.sleep(2)64# 18- Prompt : accepter65prompt_window.accept()66# 19- Fenêtre principale : Imprimer le message affiché result67print(driver.find_element(By.ID, "result").text)68time.sleep(2)69# 20- Fermer toutes les fenêtres...
exercice01.py
Source:exercice01.py
1# test case2# 1 lancer navigateur3# 2 acceder a l adresse "https://www.saucedemo.com/"4# 3 saisir username5# 4 saisir password6# 5 cliquer sur login7# 6 cliquer sur add to cart8# 7 cliquer sur panier9# 8 cliquer sur ckekout10# 9 saisir firstname11# 10 saisir last name12# 11 saisir code postal13# 12 cliquer sur cancel14import time15from selenium import webdriver16#instance vide de chrome17from selenium.webdriver.common.by import By18# 1 lancer le navigateur19driver = webdriver.Chrome()20#ouvrir la fenetre en plein ecran21driver.maximize_window()22# 2 acceder a l "adresse https://www.saucedemo.com/"23driver.get("https://www.saucedemo.com/")24# 3 saisir username25driver.find_element(By.ID, "user-name").send_keys("standard_user")26# 4 saisir password27driver.find_element(By.NAME, "password").send_keys("secret_sauce")28# 5 cliquer sur login29driver.find_element(By.NAME, "login-button").submit()30# 6 cliquer sur add to cart31driver.find_element(By.ID, "add-to-cart-sauce-labs-backpack").click()32# 7 cliquer sur panier33driver.find_element(By.CLASS_NAME, "shopping_cart_link").click()34# 8 cliquer sur ckekout35driver.find_element(By.NAME, "checkout").click()36# 9 saisir firstname37driver.find_element(By.ID, "first-name").send_keys("Ines")38# 10 saisir last name39driver.find_element(By.ID, "last-name").send_keys("ksibi")40# 11 saisir code postal41driver.find_element(By.NAME, "postalCode").send_keys("J4W2W5")42# 12 cliquer sur cancel43driver.find_element(By.NAME, "cancel").click()44#mettre du temps d arret45time.sleep(4)46#fermeture du navigateu...
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