import pandas as pd
import streamlit as st
import json

st.set_page_config(layout="wide")

# load data
f = open('data.json')
recipes_json = json.load(f)

# prepare data
recipes = pd.DataFrame(recipes_json)
ingredients = pd.DataFrame(recipes_json).explode('ingredients')

# name search
name_search = st.text_input('Search recipes by name')
if name_search == "":
    filter_name = recipes['name'].to_list()
else:
    filter_1 = recipes['name'].str.contains(name_search)
    filter_name = recipes.loc[filter_1, 'name'].to_list()

# ingredient filter
options = st.multiselect(
    'Select ingredients to filter by:',ingredients['ingredients'].unique())
filter_type = st.radio(
    "Select type of filtering:",
    [
        'Recipe contains ANY of the specified ingredients', 
        'Recipe contains ALL of the specified ingredients'
    ]
)
if len(options)==0:
    filter_ingredient = recipes['name'].to_list()
else:
    if filter_type == 'Recipe contains ANY of the specified ingredients':
        filter_1 = ingredients['ingredients'].isin(options)
        filter_ingredient = ingredients.loc[filter_1, 'name'].to_list()
    elif filter_type == 'Recipe contains ALL of the specified ingredients':
        filter_1 = ingredients['ingredients'].isin(options)
        ingredients['has_ingredient'] = 0
        ingredients.loc[filter_1, 'has_ingredient'] = 1
        pivot = ingredients.groupby('name').agg(sum_has_ingredients=('has_ingredient', 'sum')).reset_index()
        filter_ingredient = pivot.loc[pivot['sum_has_ingredients']==len(options), 'name'].to_list()

filter_all = list(set(filter_name) & set(filter_ingredient))
st.dataframe(recipes[recipes['name'].isin(filter_all)], hide_index=True)