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How to use choose_radio method in lettuce_webdriver

Best Python code snippet using lettuce_webdriver_python

first_try.py

Source:first_try.py

1import streamlit as st2from map_layer import draw_map3from preparation.data_praparation import aggregate_data4from settings.settings import LOCAL_DATA_PATH5from visualisations.visual import draw_piechart, draw_error_plot, draw_all_station_chart6import numpy as np7import pandas as pd8from preparation import data_praparation as dprep, data_praparation9from forecasting_metrics import evaluate_all10import ssl11# -- Set page config12app_title = 'Stations map'13st.set_page_config(page_title=app_title, page_icon=":eyeglasses:", layout="wide")14# -- Default detector list15page_list = ['map', 'station', 'V1']16# -- Choose page17page = st.sidebar.selectbox('Page', page_list)18# uploaded_file = st.sidebar.file_uploader("Choose a file", type="xlsx")19ssl._create_default_https_context = ssl._create_unverified_context20uploaded_file = 'https://raw.githubusercontent.com/Vladykart/clean_dashboard/master/data/mart_operative_forecasting_results.csv'21if uploaded_file is not None:22    data = dprep.load_and_prepare_data(uploaded_file)23    aggregated_data = aggregate_data(data.copy())24    data_load_state = st.sidebar.text('Loading data...')25    data_load_state.text("Done! (using st.cache)")26    st.sidebar.success('File was successfully uploaded')27else:28    st.warning('First you need to upload excel file')29    data = []30    aggregated_data = []31d = st.sidebar.date_input(32    "Select date",33    value=data['date'].max().date(),34    min_value=data['date'].min().date(),35    max_value=data['date'].max().date())36st.write('Selected date id: :', d)37if page == 'map':38    col_1, col_2 = st.columns([19, 8])39    v_data = aggregated_data.loc[:, [d.strftime('%Y-%m-%d')], :]40    st.title('Stations map')41    choose_list = ('yeild', 'forecast', 'error',)42    choose_radio = st.sidebar.radio('Choose metric', choose_list)43    map_data = data.groupby(44        by=['date', 'site', 'region']).agg(45        {'yeild': 'sum',46         'forecast': 'sum',47         'error': 'mean',48         'lat': 'first',49         'lon': 'first'}).reset_index()50    map_data = map_data[map_data['date'] == d.strftime('%Y-%m-%d')]51    map_data['error'] = map_data['error'].abs()52    midpoint = (np.average(map_data["lat"]), np.average(map_data["lon"]))53    # match choose_radio:54    #     case 'forecast':55    #         forecast_map_data = map_data[['site', 'forecast', 'lat', 'lon']]56    #         draw_map(forecast_map_data, midpoint[0], midpoint[1], 5)57    #     case 'error':58    #         error_map_data = map_data[['site', 'error', 'lat', 'lon']]59    #         draw_map(error_map_data, midpoint[0], midpoint[1], 5)60    #     case _:61    #         yeild_map_data = map_data[['site', 'yeild', 'lat', 'lon']]62    #         draw_map(yeild_map_data, midpoint[0], midpoint[1], 5)63    if choose_radio == 'forecast':64        forecast_map_data = map_data[['site', 'forecast', 'lat', 'lon']]65        with col_1:66            draw_map(forecast_map_data, midpoint[0], midpoint[1], 5)67    elif choose_radio == 'error':68        error_map_data = map_data[['site', 'error', 'lat', 'lon']]69        with col_1:70            draw_map(error_map_data, midpoint[0], midpoint[1], 5)71    else:72        yeild_map_data = map_data[['site', 'yeild', 'lat', 'lon']]73        with col_1:74            draw_map(yeild_map_data, midpoint[0], midpoint[1], 5)75    map_data = map_data.sort_values('yeild').set_index('site')76    with col_2:77        c = st.container()78        c.plotly_chart(draw_piechart(v_data).update_layout(width=550))79    col_3, col_4, col_5 = st.columns([16, 8, 8])80    with col_3:81        c1 = st.container()82        c1.plotly_chart(83            draw_all_station_chart(v_data, sort_by=choose_radio).update_layout(84                                                                               template='plotly_dark',85                                                                               paper_bgcolor='rgba(0,0,0,0)',86                                                                               plot_bgcolor='rgba(0,0,0,0)'87                                                                               ))88    with col_5:89        c2 = st.container()90        c2.plotly_chart(draw_error_plot(data.groupby(by=['hour']).agg('sum')).update_layout(91                                                                      template='plotly_dark',92                                                                      paper_bgcolor='rgba(0,0,0,0)',93                                                                      plot_bgcolor='rgba(0,0,0,0)'94                                                                      ))95    st.table(map_data)96elif page == 'station':97    st.title('Stations charts')98    # Title the app99    st.markdown("""100     * Use the menu at left to select data and set plot parameters101     * Your plots will appear below102    """)103    site = st.sidebar.multiselect(104        'Select station', data.site.unique(), help='choose station or stations', default=data.site.unique()[0])105    if site:106        for s in site:107            with st.expander(label=s):108                t_data = data[data['site'] == s]109                t_data = t_data.set_index('hour')110                t_data = t_data[t_data['date'] == d.strftime('%Y-%m-%d')]111                predicted = t_data['forecast'].abs()112                actual = t_data['yeild'].abs()113                t_aggregated_data = aggregated_data.loc[s, [d.strftime('%Y-%m-%d')], :]114                col_1, col_2 = st.columns([43, 100])115                with col_1:116                    st.table(t_data[['forecast', 'yeild', 'error']])117                with col_2:118                    c = st.container()119                    c.bar_chart(t_data[['forecast', 'yeild', 'error']], width=1080, height=400)120                    c.plotly_chart(draw_piechart(t_aggregated_data).update_layout(width=550))121                st.plotly_chart(draw_error_plot(t_data).update_layout(width=1000,122                                                                      height=600,123                                                                      template='plotly_dark',124                                                                      paper_bgcolor='rgba(0,0,0,0)',125                                                                      plot_bgcolor='rgba(0,0,0,0)'126                                                                      ))127                col_3, col_4 = st.columns([43, 100])128                with col_3:129                    e = evaluate_all(actual, predicted)130                    e = pd.DataFrame([e])131                    err = st.multiselect(132                        f'Error metrics for {s}: ', e.T.index.tolist(), help='choose error metrics',133                        default=['mae', 'rmse', 'mse'])134                with col_4:135                    st.table(e[err].T)136            # c.bar_chart(t_data[['error_shortage', 'error_excess']].abs(), width=1080, height=400)137elif page == 'V1':138    v_data = aggregated_data.loc[:, [d.strftime('%Y-%m-%d')], :]139    metrics_df = v_data.describe()140    choose_list = ('yeild', 'forecast', 'error_shortage', 'error_excess')141    col_1, col_2 = st.columns([1, 6])142    with col_1:143        choose_radio = st.radio('Choose sort metric', choose_list)144    with col_2:145        st.table(metrics_df)146    st.plotly_chart(147        draw_all_station_chart(v_data, sort_by=choose_radio).update_layout(width=1200,148                                                                           height=600,149                                                                           template='plotly_dark',150                                                                           paper_bgcolor='rgba(0,0,0,0)',151                                                                           plot_bgcolor='rgba(0,0,0,0)'...

households.py

Source:households.py

...35        self.browser.fill_form(self.values)36    def validate_household_created(self):37        assert self.browser.is_text_present("Household successfully registered.")38    def has_children(self, value):39        self.choose_radio('has_children', value)40    def are_children_fields_disabled(self, is_disabled=True):41        for element_id in ['aged_between_5_12_years', 'aged_between_13_17_years']:42            element_id = 'household-children-' + element_id43            assert self.is_disabled(element_id) == is_disabled44        self.are_children_below_5_fields_disabled(is_disabled=is_disabled)45    def is_no_below_5_checked(self):46        assert self.browser.find_by_id('household-children-has_children_below_5_1').selected == True47    def cannot_say_yes_to_below_5(self):48        assert self.is_disabled("household-children-has_children_below_5_0") == True49        self.are_children_fields_disabled()50    def has_children_below_5(self, value):51        self.choose_radio('has_children_below_5', value)52    def are_children_below_5_fields_disabled(self, is_disabled=True):53        for element_id in ['aged_between_0_5_months', 'aged_between_6_11_months', 'aged_between_12_23_months',54                           'aged_between_24_59_months']:55            element_id = 'household-children-' + element_id56            assert self.is_disabled(element_id) == is_disabled57    def has_women(self, value):58        self.choose_radio('has_women', value)59    def are_women_fields_disabled(self, is_disabled=True):60        for element_id in ['aged_between_15_19_years', 'aged_between_20_49_years']:61            element_id = 'household-women-' + element_id62            assert self.is_disabled(element_id) == is_disabled63    def fill_in_number_of_females_lower_than_sum_of_15_19_and_20_49(self):64        self.browser.fill('number_of_females', '1')65        self.browser.fill('aged_between_15_19_years', '2')66        self.browser.fill('aged_between_20_49_years', '3')67    def see_an_error_on_number_of_females(self):68        self.is_text_present(69            'Please enter a value that is greater or equal to the total number of women above 15 years age.')70    def choose_occupation(self, occupation_value):71        self.browser.select('occupation', occupation_value)72    def is_specify_visible(self, status=True):...

main.py

Source:main.py

1from time import sleep2from selenium import webdriver3from selenium.webdriver.common.keys import Keys4from selenium.webdriver.common.by import By5# has the "next" button clicked6def click_next_button(driver):7    button_next = driver.find_element(By.CSS_SELECTOR, "input#NextButton")8    button_next.click()9# has the best option selected, regardless of the questions amount10def choose_best_option(driver):11    choose_radio = driver.find_elements(By.CSS_SELECTOR, 'td[class^="Opt5"')12    for radio in choose_radio:13        radio.click()14# selects yes or no option for that question type15def choose_yes_no(driver, answer: str):16    if answer.lower() == "no":17        choose_radio = driver.find_elements(By.CSS_SELECTOR, 'td[class^="Opt2"')18    else:19        choose_radio = driver.find_elements(By.CSS_SELECTOR, 'td[class^="Opt1"')20    for radio in choose_radio:21        radio.click()22# selects the last option for the dropdowns question23def choose_dropdowns(driver):24    dropdowns = driver.find_elements(By.TAG_NAME, "select")25    for options in dropdowns:26        click_option = options.find_element(By.CLASS_NAME, "Opt9")27        click_option.click()28# selects text box area and types review29def type_review(driver):30    choose_area = driver.find_element(By.TAG_NAME, "textarea")31    choose_area.send_keys("Great food." + Keys.RETURN + "Great prices." + Keys.RETURN + "Great service.")32def main():33    # ask for survey code and validate format34    survey_code = input("\nType in your survey code, including dashes: ")35    if survey_code.count("-") != 5:36        raise Exception("\nPlease include all dashes!")37    survey_code = survey_code.split("-")38    39    # init FireFox driver and navigate to website40    driver = webdriver.Firefox()41    driver.get("https://www.pandaguestexperience.com")42    sleep(1)43    # return list of input elements for the code44    code_input = driver.find_elements(By.CSS_SELECTOR, "p.IndexText01 input")45    # input survey code into input elements46    i = 047    for block in code_input:48        block.send_keys(survey_code[i])49        i += 150    51    # find and click the 'submit' button52    button_submit = driver.find_element(By.CSS_SELECTOR, "div#Buttonholder input")53    button_submit.click()54    # Format of pages in order: 55    # 4 pages of multiple radio questions, 1 page of yes/no radio questions, 1 page of multiple radio questions56    # 1 page of text review questions, 1 page of multiple radio questions, 1 page of yes/no questions57    # 1 page of multiple radio questions (diff format), 1 page of yes/no questions, 1 page of multiple radio questions58    # 1 page of dropdown questions59    # First 4 pages60    for i in range(4):61        choose_best_option(driver)62        click_next_button(driver)63    # Pg 564    choose_yes_no(driver, "no")65    click_next_button(driver)66    # Pg 667    choose_best_option(driver)68    click_next_button(driver)69    70    # Pg 771    type_review(driver)72    click_next_button(driver)73    # Pg 874    choose_best_option(driver)75    click_next_button(driver)76    # Pg 977    choose_yes_no(driver, "no")78    click_next_button(driver)79    # Pg 1080    choose_radio = driver.find_element(By.CLASS_NAME, 'radioSimpleInput')81    choose_radio.click()82    click_next_button(driver)83    # Pg 1184    choose_yes_no(driver, "no")85    click_next_button(driver)86    # Pg 1287    choose_best_option(driver)88    click_next_button(driver)89    # Pg 1390    choose_dropdowns(driver)91    click_next_button(driver)92    # waits 30 seconds for user to jot down code93    # and then quits the driver session94    sleep(30)95    print("Closing session...")96    driver.quit()97# start if not imported98if __name__ == "__main__":...

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