"""The following program will read in 2 XL sheets of KP matches and the user will evaluate the quality of the matching"""
import streamlit as st
import json
import pandas as pd
xl1 = st.file_uploader("Choose first file", key="xl1")
xl2 = st.file_uploader("Choose second file", key="xl2")
if xl1 is not None and xl2 is not None:
  #assert that the first few columns are the same
  df1 = pd.read_excel(xl1, sheet_name= "0.85 Threshold")
  df2 = pd.read_excel(xl2, sheet_name= "0.85 Threshold")
  st.write(df1[["Attendee A","Attendee B","KP"]])
  if not df1[["Attendee A","Attendee B","KP"]].equals(df2[["Attendee A","Attendee B","KP"]]):
    xl1 = None
    xl2 = None
  else:
    i = 0
    choices = []
    
    st.write("First excel file")
    for t1 in df1.iterrows():
      r1 = t1[1]
      kps1 = json.loads(r1["Matched KPs"].replace("'", '"'))
      for kp1kps1.keys():
        if kps1[kp1] > 0.99:
          kps1.pop(kp1)
      #now display the kps
      if kps1 == {}:
        continue
      else:
        for kp1 in kps1.keys():
          col1, col2, col3 = st.columns(3)
          with col1:
            st.write(r1["KP"])
          with col2:
            st.write(f"kp: {kp1} , distance: {kps1[kp1]}")
          with col3:
            choices.append(st.radio("Appropriate?", [True, False],id = i))
          i+=1