Create Backup-app-pyBeforeDownload.py

Backup-app-pyBeforeDownload.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import plotly.graph_objects as go
+from datetime import datetime
+
+# Define emoji list
+EMOJI_LIST = {
+    4: "🎂",
+    6: "🍀",
+    8: "🍄",
+    10: "🍁",
+    12: "🍂",
+    20: "🍃",
+    50: "🍒",
+    100: "🌟"
+}
+
+# Define the dice types
+DICE_TYPES = [4, 6, 8, 10, 12, 20, 50, 100]
+
+# Define the default number of rolls
+DEFAULT_ROLLS = 10
+
+# Define a function to roll dice
+def roll_dice(num_rolls, dice_type):
+    rolls = np.random.randint(1, dice_type + 1, size=num_rolls)
+    return rolls
+
+# Define a function to plot tokens
+def plot_tokens(health_tokens, coin_tokens):
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=list(range(1, len(health_tokens) + 1)), y=health_tokens, name="Health"))
+    fig.add_trace(go.Scatter(x=list(range(1, len(coin_tokens) + 1)), y=coin_tokens, name="Coins"))
+    fig.update_layout(title="Token Accumulation", xaxis_title="Rolls", yaxis_title="Tokens")
+    st.plotly_chart(fig)
+
+# Define the app
+st.title("Dice Rolling Game")
+
+# Get username
+st.write("Enter your username:")
+username = st.text_input("Username")
+
+# Get number of rolls
+st.write("Choose the number of rolls:")
+num_rolls = st.slider("Number of Rolls", 1, 1000000, DEFAULT_ROLLS)
+
+# Get dice types and roll dice
+history = {}
+for dice_type in DICE_TYPES:
+    rolls = roll_dice(num_rolls, dice_type)
+    st.write(f"Results for {dice_type}-sided dice:")
+    for roll in rolls:
+        st.write(f"{EMOJI_LIST[dice_type]} {roll}")
+        if roll == dice_type:
+            st.write("Congratulations! You rolled the highest value!")
+            if dice_type == 100:
+                st.write("Adding 10 coins for rolling over 90 on 100-sided dice.")
+                if "coin_tokens" not in history:
+                    history["coin_tokens"] = [0]
+                history["coin_tokens"].append(history["coin_tokens"][-1] + 10)
+    if "roll_history" not in history:
+        history["roll_history"] = {}
+    history["roll_history"][dice_type] = rolls
+
+# Plot tokens
+if "health_tokens" not in history:
+    history["health_tokens"] = [0]
+if "coin_tokens" not in history:
+    history["coin_tokens"] = [0]
+st.write("Token Accumulation:")
+plot_tokens(history["health_tokens"], history["coin_tokens"])
+
+# Save history to CSV file
+timestamp = datetime.now().strftime("%m-%d-%Y-%H-%M-%S")
+filename = f"{timestamp}.csv"
+data = {"Username": [username], "Date": [timestamp], **history}
+
+# Concatenate all roll histories into a single dictionary
+all_rolls = {}
+for dice_type, rolls in history["roll_history"].items():
+    all_rolls[f"{dice_type}-sided dice"] = rolls
+all_rolls = pd.DataFrame(all_rolls)
+
+# Create a Series for each token type
+health_tokens = pd.Series(history["health_tokens"], name="Health Tokens")
+coin_tokens = pd.Series(history["coin_tokens"], name="Coin Tokens")
+
+# Concatenate all data into a single DataFrame
+df = pd.concat([all_rolls, health_tokens, coin_tokens], axis=1)
+
+# Save history to CSV file
+df.to_csv(filename, index=False)
+
+# Show download link for CSV file
+st.write("Download the dice rolling history:")
+with open(filename, "rb") as f:
+    bytes_data = f.read()