import json
import streamlit as st

from crewai import Task
from crewai.tasks.task_output import TaskOutput
from pydantic import BaseModel
from typing import List

from agents.learning_profiler import learning_profiler


class Topic(BaseModel):
    name: str
    insights: List[str]


class LearningProfile(BaseModel):
    topics_of_interests: List[str]
    learnings: List[Topic]
    
def callback_function(output: TaskOutput):
    st.markdown("### Learning profile of the user:")
    data=json.loads(output.exported_output)
    st.markdown(f"**topics_of_interests:** {data['topics_of_interests'][0]}")
    st.markdown(f"**learnings:**")
    for topic in data['learnings']:
        st.markdown(f"*{topic['name']}*:{topic['insights'][0]}")

learning_profile_task = Task(
    description=(
        "Create a Learning profile of the user based on "
        "the following articles and insights he has read in the past: \n"
        "{previous_article_insights}"
    ),
    expected_output=(
        "A structured learning profile of the user with his interests, topics he has read about "
        "and insights he has captured on the topics."
    ),
    agent=learning_profiler,
    output_json=LearningProfile,
    output_file="learning_profile.json",
    async_execution=False,
    callback=callback_function
)