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| import streamlit as st | |
| import pandas as pd | |
| from auth import check_password | |
| if not check_password(): | |
| st.stop() | |
| st.set_page_config( | |
| page_title="ARL - Pilot 2a", | |
| page_icon="🎆", | |
| layout="wide", | |
| ) | |
| df = pd.read_csv('./results.csv') | |
| print(df.columns) | |
| query = st.experimental_get_query_params() | |
| if not query or 'id1' not in query or not query['id1']: | |
| # rnd_ind = random.randint(0, len(df) - 1) | |
| id = 0 | |
| st.experimental_set_query_params(id1=id) | |
| file_id = id | |
| else: | |
| file_id = int(query['id1'][0]) | |
| st.experimental_set_query_params(id1=file_id) | |
| data = df.iloc[file_id] | |
| # st.table(data) | |
| def show_story(): | |
| st.subheader('Impacted Story') | |
| number_of_story_lines = int(data['Input.number_of_lines']) | |
| story = data['Input.story'].split('. ') | |
| for i in range(number_of_story_lines): | |
| st.markdown(f'**Line {i+1}:** {story[i]}') | |
| row_name = f'Answer.line{i}_changed.on' | |
| print(row_name, data[row_name]) | |
| if data[row_name]: | |
| st.markdown(f'<mark style="background-color: white">{data[f"Answer.story_text_{i}_changed"]}</mark>', unsafe_allow_html=True) | |
| # st.text_area( | |
| # '', | |
| # value=data[f'Answer.story_text_{i}_changed'], | |
| # height=20, | |
| # disabled=True, | |
| # label_visibility='hidden' | |
| # ) | |
| def show_data(): | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| img1, img2, img3 = st.columns(3) | |
| with img1: | |
| st.image(data['Input.image1']) | |
| with img2: | |
| st.image(data['Input.image2']) | |
| with img3: | |
| st.image(data['Input.image3']) | |
| st.subheader('Entity') | |
| st.write(data['Input.entity']) | |
| st.subheader('Agent') | |
| st.write(data['Input.agent']) | |
| # st.subheader('Input Goal') | |
| # st.write(data['Input.goal']) | |
| st.subheader('Story') | |
| st.write(data['Input.story']) | |
| with col2: | |
| if data['Answer.agent_makes_no_sense.on']: | |
| st.subheader('Agent Makes No Sense') | |
| st.write("Proposed Agent: " + data['Answer.agent_makes_no_sense_text']) | |
| else: | |
| st.subheader('Goal') | |
| st.write(data['Answer.goal']) | |
| st.subheader('Condition Necessary') | |
| st.write(data['Answer.condition']) | |
| # st.subheader('Altered Condition') | |
| # st.write(data['Answer.not_condition']) | |
| # st.subheader('Lead to Altered Condition') | |
| # st.write(data['Answer.not_condition_ep']) | |
| # if data['Answer.story_impact.yes'] == True: | |
| # show_story() | |
| # else: | |
| # st.subheader('Why no impact?') | |
| # st.text(data['Answer.why_no_impact']) | |
| # print(data) | |
| from api import show_likert_scale | |
| done = show_likert_scale('step_1', 'Necessary Condition', data['AssignmentId']) | |
| if st.button("Next", disabled=not done): | |
| id = file_id + 1 | |
| st.experimental_set_query_params(id1=id) | |
| st.experimental_rerun() | |
| # st.table(data) | |
| show_data() |