import pandas as pd
import streamlit as st
import base64


def clear_rfp_data():
    st.session_state.clear()


def export(data):
    # data_df = pd.DataFrame(st.session_state["user_stories_json"])
    data_df = pd.DataFrame(data)
    csv_data = data_df.to_csv(index=False)
    b64 = base64.b64encode(csv_data.encode()).decode()
    href = f'<a href="data:file/csv;base64,{b64}" download="data.csv">Download CSV File</a>'
    st.markdown(href, unsafe_allow_html=True)


def estimate_to_value(estimate):
    if estimate == "XS":
        return 2
    elif estimate == "S":
        return 6
    elif estimate == "M":
        return 12
    elif estimate == "L":
        return 22
    elif estimate == "XL":
        return 37
    else:
        # Handle the case when the estimate is not one of the specified values
        return "Invalid estimate"