# Code Destiny and Density is equal to one hundred.

#st.Markdown("TODO: A code density slider bar shows and adjusts the size of lines.  ')
#st.Markdown('Any 🎲Dice🎲 way to compress the lines yet make it readable as optimal list of sets will do.  Match language from good math books.')
            
import os
import streamlit as st
import numpy as np
import pandas as pd
import plotly.express as px
st.set_page_config(layout='wide')
st.title('Any 🎲Dice🎲 Way - STEM Math and Data Science Numerical Potluck')
dice_types = [{'name': 'Six-sided Dice', 'sides': 6, 'emoji': '🎲'},
              {'name': 'Twenty-sided Dice', 'sides': 20, 'emoji': '🍿'},
              {'name': 'Thirty-sided Dice', 'sides': 30, 'emoji': '🥗'},
              {'name': 'One Hundred-sided Dice', 'sides': 100, 'emoji': '🎂'}]
if 'username' not in st.session_state:
    st.session_state.username = ''
if 'dice_roll_history' not in st.session_state:
    st.session_state.dice_roll_history = pd.DataFrame()
dice_type = st.selectbox('Choose a type of dice', dice_types, format_func=lambda d: f"{d['name']} {d['emoji']}")
num_rolls = st.slider('How many times do you want to roll the dice?', 1, 1000000, 1000)
rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.uint64)
roll_counts = pd.Series(rolls).value_counts().sort_index()
fig = px.sunburst(names=[f'Roll {i}' for i in roll_counts.index],
                  parents=['Dice Rolls'] * dice_type['sides'],
                  values=roll_counts.values,
                  color=[f'Roll {i}' for i in roll_counts.index],
                  color_discrete_sequence=px.colors.qualitative.Dark24,
                  maxdepth=2)
fig.update_layout(title='Dice Roll Distribution', margin=dict(l=20, r=20, t=40, b=20), width=800, height=600)
show_labels = st.checkbox('Show Labels', value=True)
if not show_labels:
    fig.update_traces(textinfo='none')
fig.show()
bonus_match = False
for dice in dice_types:
    if rolls[0] == dice['sides']:
        bonus_match = True
        bonus_dice_type = dice['name']
        bonus_dice_emoji = dice['emoji']
        break
dice_roll_history = st.session_state.dice_roll_history
new_roll_data = pd.DataFrame({'Roll': rolls,
                              'Count': np.ones(num_rolls, dtype=np.uint64),
                              'DiceNumberOfSides': [dice_type['sides']] * num_rolls,
                              'Username': [st.session_state.username] * num_rolls})
if bonus_match:
    new_roll_data['BonusMatchToDiceName'] = [bonus_dice_type] * num_rolls
    new_roll_data['BonusMatchToDiceEmoji'] = [bonus_dice_emoji] * num_rolls
dice_roll_history = dice_roll_history.append(new_roll_data, ignore_index=True)
st.session_state.dice_roll_history = dice_roll_history
include_name_column = st.checkbox('Include Username Column in Downloaded CSV', value=True)
if st.button('Download Results'):
    filename = f'dice_roll_history_{st.session_state.username}{dice_type["emoji"]}.csv'
    if not include_name_column:
        dice_roll_history = dice_roll_history.drop(columns=['Username'])
        filename = f'dice_roll_history{dice_type["emoji"]}.csv'
    st.download_button(label='Download CSV', data=dice_roll_history.to_csv(index=False), file_name=filename, mime='text/csv')
csv_files = [f for f in os.listdir('.') if os.path.isfile
              f.endswith('.csv') and 'dice_roll_history' in f]
if csv_files:
    st.write('Downloaded files:')
    for csv_file in csv_files:
        st.markdown(f'[Download {csv_file}]({csv_file})')
st.write('---')
st.subheader('Settings')
st.session_state.username = st.text_input('Username', st.session_state.username)
st.write('---')
st.subheader('Dice Roll History')
st.write(dice_roll_history)

st.write("""
🍞 Bread
🥐 Croissant
🥖 Baguette Bread
🫓 Flatbread
🥨 Pretzel
🥯 Bagel
🥞 Pancakes
🧇 Waffle
🧀 Cheese Wedge
🍖 Meat on Bone
🍗 Poultry Leg
🥩 Cut of Meat
🥓 Bacon
🍔 Hamburger
🍟 French Fries
🍕 Pizza
🌭 Hot Dog
🥪 Sandwich
🌮 Taco
🌯 Burrito
🫔 Tamale
🥙 Stuffed Flatbread
🧆 Falafel
🥚 Egg
🍳 Cooking
🥘 Shallow Pan of Food
🍲 Pot of Food
🫕 Fondue
🥣 Bowl with Spoon
🥗 Green Salad
🍿 Popcorn
🧈 Butter
🧂 Salt
🥫 Canned Food
🍱 Bento Box
🍘 Rice Cracker
🍙 Rice Ball
🍚 Cooked Rice
🍛 Curry Rice
🍜 Steaming Bowl
🍝 Spaghetti
🍠 Roasted Sweet Potato
🍢 Oden
🍣 Sushi
🍤 Fried Shrimp
🍥 Fish Cake with Swirl
🥮 Moon Cake
🍡 Dango
🥟 Dumpling
🥠 Fortune Cookie
🥡 Takeout Box
🦪 Oyster
🍦 Soft Ice Cream
🍧 Shaved Ice
🍨 Ice Cream
🍩 Doughnut
🍪 Cookie
🎂 Birthday Cake
🍰 Shortcake
🧁 Cupcake
🥧 Pie
🍫 Chocolate Bar
🍬 Candy
🍭 Lollipop
🍮 Custard
🍯 Honey Pot
🍼 Baby Bottle
🥛 Glass of Milk
☕ Hot Beverage
🫖 Teapot
🍵 Teacup Without Handle
🍶 Sake
🍾 Bottle with Popping Cork
🍷 Wine Glass
🍸 Cocktail Glass
🍹 Tropical Drink
🍺 Beer Mug
🍻 Clinking Beer Mugs
🥂 Clinking Glasses
🥃 Tumbler Glass
🫗 Pouring Liquid
🥤 Cup with Straw
🧋 Bubble Tea
🧃 Beverage Box
🧉 Mate
🧊 Ice
🥢 Chopsticks
🍽️ Fork and Knife with Plate
🍴 Fork and Knife
🥄 Spoon
🫙 Jar
""")