Update app.py

app.py

@@ -1,3 +1,7 @@
+# Code Destiny and Density is equal to one hundred.
+
+st.Markdown("TODO: A code density slider bar shows and adjusts the size of lines.  Any way to compress the lines yet make it readable as optimal list of sets will do.  Match language from good math books.')
+            
 import streamlit as st
 import numpy as np
 import pandas as pd
@@ -5,86 +9,61 @@ import plotly.express as px
 
 st.title('Random Dice Game')
 
-# Define the available types of dice
-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': '🎲'
-    }
-]
+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': '🎲'}]
 
-# Initialize the user's name if it has not been set yet
 if 'name' not in st.session_state:
     st.session_state.name = ''
+if 'dice_roll_history' not in st.session_state:
+    st.session_state.dice_roll_history = pd.DataFrame()
 
-# Get user input for the type of dice and number of rolls
-dice_type = st.selectbox('Choose a type of dice', dice_types)
+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)
 
-# Generate dice rolls
-rolls = np.random.randint(1, dice_type['sides']+1, num_rolls)
-
-# Count the number of occurrences of each roll
+rolls = np.random.randint(1, dice_type['sides'] + 1, num_rolls, dtype=np.uint64)
 roll_counts = pd.Series(rolls).value_counts().sort_index()
 
-# Create a sunburst chart of the roll counts
-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 = 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)
 
-# Customize the chart layout
-fig.update_layout(
-    title='Dice Roll Distribution',
-    margin=dict(l=20, r=20, t=40, b=20),
-    width=800,
-    height=600
-)
-
-# Add UI controls to modify the chart
 show_labels = st.checkbox('Show Labels', value=True)
 if not show_labels:
     fig.update_traces(textinfo='none')
 fig.show()
 
-# Allow user to download roll data as CSV file with their name and dice type
-if st.button('Download Roll Data as CSV'):
-    if st.session_state.name == '':
-        st.warning('Please enter a name before downloading the roll data')
-    else:
-        roll_data = pd.DataFrame({
-            'Roll': rolls,
-            'Count': np.ones(num_rolls),
-            'DiceNumberOfSides': [dice_type['sides']] * num_rolls
-        })
-        filename = f'roll_data_{dice_type["name"].replace(" ", "_")}_{st.session_state.name}.csv'
-        st.download_button(
-            label='Download CSV',
-            data=roll_data.to_csv(index=False),
-            file_name=filename,
-            mime='text/csv'
-        )
+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,
+                              'DiceRollerName': [st.session_state.name] * 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
+
+if st.button('Download Results'):
+    filename = f'dice_roll_history_{st.session_state.name}.csv'
+    st.download_button(label='Download CSV', data=dice_roll_history.to_csv(index=False), file_name=filename, mime='text/csv')
+
+if st.session_state.dice_roll_history.shape[0] > 0:
+    st.markdown('### Dice Roll History')
+    st.dataframe(st.session_state.dice_roll_history)
+
+
 
-# Add UI control for the user's name
-name = st.text_input('What is your name?', value=st.session_state.name)
-st.session_state.name = name