display_responses.py

import streamlit as st
import json

def load_json_data(file_path):
    """Utility function to load JSON data from a specified file path."""
    try:
        with open(file_path, 'r') as file:
            return json.load(file)
    except FileNotFoundError:
        st.error(f"File {file_path} not found. Please ensure data has been saved.")
        return None

def display_core_values():
    """Displays the user's core values."""
    core_values = load_json_data('core_values_responses.json')
    if core_values:
        st.header("Your Core Values")
        for question, answer in core_values.items():
            st.text(f"{question}: {answer}")

def display_strength_responses():
    """Displays the user's responses to the strength exercises."""
    strength_responses = load_json_data('strength_responses.json')
    if strength_responses:
        st.header("Your Strength Responses")
        for key, value in strength_responses.items():
            st.text(f"{key}: {value}")

def display_dynamic_strength_responses():
    """Displays dynamic strength responses (Exercise 3) from the network."""
    network_feedback_list = load_json_data('dynamic_strength_responses.json')
    if network_feedback_list:
        st.header("Dynamic Strength Responses (Exercise 3)")
        for feedback in network_feedback_list:
            st.subheader(f"Feedback from {feedback['name']} ({feedback['role']})")
            for question, response in feedback['responses'].items():
                st.markdown(f"- **{question}:** {response}")


def display_skills_and_experience():
    """Displays the user's skills and experience responses."""
    skills_and_experience_sets = load_json_data('skills_and_experience_sets.json')
    if skills_and_experience_sets:
        st.header("Your Skills and Experience")
        for i, skills_set in enumerate(skills_and_experience_sets, start=1):
            st.subheader(f"Skills and Experience Set {i}")
            for question, answer in skills_set.items():
                st.markdown(f"**{question}:** {answer}")

def display_preferences():
    """Displays the user's career preferences."""
    preferences_sets = load_json_data('preferences_sets.json')
    if preferences_sets:
        st.header("Your Career Preferences")
        for i, preferences_set in enumerate(preferences_sets, start=1):
            st.subheader(f"Preferences Set {i}")
            for preference, answer in preferences_set.items():
                st.markdown(f"**{preference}:** {answer}")

def display_dream_job_info():
    """Displays the saved dream job information."""
    try:
        with open('dream_job_info.json', 'r') as file:
            dream_job_info = json.load(file)
            
        st.header("Your Dream Job Information")
        st.markdown(f"**Dream Job Description:** {dream_job_info['dream_job_description']}")
        st.markdown(f"**Is it a realistic possibility?** {dream_job_info['dream_job_realism']}")
        if dream_job_info['dream_job_realism'] == "Yes":
            st.markdown(f"**Explanation:** {dream_job_info['dream_job_explanation']}")
        st.markdown(f"**Attributes:** {dream_job_info['dream_job_attributes']}")
        st.markdown(f"**Feelings:** {dream_job_info['feel_sentence']}")
        st.markdown(f"**Needs:** {dream_job_info['need_sentence']}")
        st.markdown(f"**Goals:** {dream_job_info['goal_sentence']}")
    except FileNotFoundError:
        st.error("Dream Job Information not found.")

def display_priorities():
    """Display saved career priorities."""
    try:
        with open('career_priorities_data.json', 'r') as file:
            priorities_data = json.load(file)

        st.header("Your Career Priorities")
        for aspect, data in priorities_data.items():
            st.subheader(aspect)
            st.markdown(f"**Priority Rating:** {data['rating']}")
            st.markdown(f"**Reason:** {data['reason']}")
    except FileNotFoundError:
        st.error("Career Priorities data not found.")

# Ensure the app() function calls display_dream_job_info()


# Ensure the app() function calls display_preferences()


# Ensure the app() function calls display_skills_and_experience()



def app():
    display_core_values()
    display_strength_responses()
    display_dynamic_strength_responses()
    display_skills_and_experience()
    display_preferences()
    display_dream_job_info()
    display_priorities()

if __name__ == "__main__":
    app()