strengths.py

import streamlit as st
import json

def app():
    st.header("Let's explore your strengths.")

    # Initialize session state for holding responses if not already present
    if 'strength_responses' not in st.session_state:
        st.session_state['strength_responses'] = {}
    if 'stories_feedback' not in st.session_state:
        st.session_state['stories_feedback'] = {}
    if 'network_feedback' not in st.session_state:
        st.session_state['network_feedback'] = {}

    # Strengths Exercise 1 - Self Assessment
    display_strength_exercise_1()

    # Strengths Exercise 2 - Partner Assessment
    display_strength_exercise_2()


    # Save Button
    if st.button('Save Data'):
        save_data_to_file()

def display_strength_exercise_1():
    st.subheader('Strength Exercise 1 - Self Assessment')
    questions = [
        "What do you enjoy the most?",
        "What am I called on to do most often?",
        "What do I do best?",
        "What advice or expertise do others seek from me?",
    ]
    for question in questions:
        st.session_state.strength_responses[question] = st.text_input(question, key=question)

def display_strength_exercise_2():
    st.subheader('Strength Exercise 2 - Partner Assessment')
    for i in range(1, 3):
        story_key = f'story_{i}'
        feedback_key = f'feedback_{i}'
        with st.expander(f"Story {i} & Feedback"):
            st.session_state.stories_feedback[story_key] = st.text_area(f"Story {i}", key=story_key)
            st.session_state.stories_feedback[feedback_key] = st.text_area(f"Feedback for Story {i}", key=feedback_key)



def display_strength_responses():
    st.header("Strength Responses")

    # Load the strength responses
    file_path = 'strength_responses.json'
    try:
        with open(file_path, 'r') as file:
            responses = json.load(file)
    except FileNotFoundError:
        st.write("No strength responses found.")
        return

    # Display strength exercise 1 responses
    st.subheader("Strength Exercise 1 - Self Assessment Responses")
    for question, response in responses.get("strength_responses", {}).items():
        st.markdown(f"**{question}**: {response}")

    # Display strength exercise 2 responses
    st.subheader("Strength Exercise 2 - Partner Assessment Responses")
    for key, text in responses.get("stories_feedback", {}).items():
        st.markdown(f"**{key.replace('_', ' ').capitalize()}**: {text}")


def save_data_to_file():
    data_to_save = {
        "strength_responses": st.session_state.strength_responses,
        "stories_feedback": st.session_state.stories_feedback,
    }
    file_path = 'strength_responses.json'  # You can adjust the file name as needed
    with open(file_path, 'w') as file:
        json.dump(data_to_save, file)
    st.success("Data saved successfully!")


if __name__ == "__main__":
    app()