Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+import random
+import uuid
+from datetime import datetime
+from streamlit_flow import streamlit_flow
+from streamlit_flow.elements import StreamlitFlowNode, StreamlitFlowEdge
+from streamlit_flow.layouts import TreeLayout
+
+# 🌍 Game World Data
+SITUATIONS = [
+    {
+        "id": "feline_escape",
+        "name": "The Great Feline Escape",
+        "description": "Your cat rider is trapped in an old mansion, which is about to be demolished. Using agility, wit, and bravery, orchestrate the perfect escape.",
+        "emoji": "🚪",
+        "type": "escape"
+    },
+    {
+        "id": "lost_temple",
+        "name": "The Treasure of the Lost Temple",
+        "description": "On a quest to retrieve an ancient artifact, your cat rider must navigate through a labyrinth filled with traps and guardian spirits.",
+        "emoji": "🏛️",
+        "type": "exploration"
+    },
+    {
+        "id": "royal_tournament",
+        "name": "The Royal Tournament",
+        "description": "Compete in a grand tournament where the finest cat riders showcase their skills and bravery to earn the title of the Royal Rider.",
+        "emoji": "👑",
+        "type": "competition"
+    }
+]
+
+ACTIONS = [
+    {
+        "id": "stealth",
+        "name": "Use Stealth",
+        "description": "Sneak past obstacles or enemies without being detected.",
+        "emoji": "🤫",
+        "type": "skill"
+    },
+    {
+        "id": "agility",
+        "name": "Showcase Agility",
+        "description": "Perform impressive acrobatic maneuvers to overcome challenges.",
+        "emoji": "🏃",
+        "type": "physical"
+    },
+    {
+        "id": "charm",
+        "name": "Charm Others",
+        "description": "Use your cat's natural charisma to win over allies or distract foes.",
+        "emoji": "😻",
+        "type": "social"
+    },
+    {
+        "id": "resourcefulness",
+        "name": "Be Resourceful",
+        "description": "Utilize the environment or items in creative ways to solve problems.",
+        "emoji": "🧠",
+        "type": "mental"
+    }
+]
+
+# 🎲 Game Mechanics
+def generate_situation():
+    return random.choice(SITUATIONS)
+
+def generate_actions():
+    return random.sample(ACTIONS, 3)
+
+def evaluate_action(action, gear_strength, rider_skill, history):
+    base_success_chance = (gear_strength + rider_skill) / 2
+    if action['id'] in history:
+        success_chance = base_success_chance + (history[action['id']] * 2)
+    else:
+        success_chance = base_success_chance
+    outcome = random.randint(1, 100) <= success_chance
+    return outcome, success_chance
+
+def generate_encounter_conclusion(situation, action, outcome):
+    if outcome:
+        conclusions = [
+            f"Your {action['name']} was successful! You've overcome the challenges of {situation['name']}.",
+            f"Through clever use of {action['name']}, you've triumphed in the {situation['name']}!",
+            f"Your mastery of {action['name']} has led to a victorious outcome in the {situation['name']}!"
+        ]
+    else:
+        conclusions = [
+            f"Despite your efforts with {action['name']}, you've failed to overcome the {situation['name']}.",
+            f"Your attempt at {action['name']} wasn't enough to succeed in the {situation['name']}.",
+            f"The challenges of {situation['name']} proved too great for your {action['name']} this time."
+        ]
+    return random.choice(conclusions)
+
+def update_character_stats(game_state, outcome):
+    if outcome:
+        game_state['gear_strength'] = min(10, game_state['gear_strength'] + random.uniform(0.1, 0.5))
+        game_state['rider_skill'] = min(10, game_state['rider_skill'] + random.uniform(0.1, 0.5))
+    return game_state
+
+# 🌳 Journey Visualization with Heterogeneous Graph Structure
+def create_heterogeneous_graph(history_df):
+    nodes = []
+    edges = []
+    
+    # Define node shapes based on situation and action types
+    situation_shapes = {
+        "escape": "diamond",
+        "exploration": "triangle",
+        "competition": "star"
+    }
+    action_shapes = {
+        "skill": "square",
+        "physical": "circle",
+        "social": "hexagon",
+        "mental": "octagon"
+    }
+    
+    for index, row in history_df.iterrows():
+        situation_id = f"situation-{index}"
+        action_id = f"action-{index}"
+        conclusion_id = f"conclusion-{index}"
+        
+        # Create situation node
+        situation_content = f"{row['situation_emoji']} {row['situation_name']}\n🕒 {row['timestamp']}"
+        situation_node = StreamlitFlowNode(situation_id, (0, 0), {'content': situation_content}, 'output', 'bottom', 'top', shape=situation_shapes[row['situation_type']])
+        nodes.append(situation_node)
+        
+        # Create action node
+        action_content = f"{row['action_emoji']} {row['action_name']}\nOutcome: {'✅ Success' if row['outcome'] else '❌ Failure'}"
+        action_node = StreamlitFlowNode(action_id, (0, 0), {'content': action_content}, 'output', 'bottom', 'top', shape=action_shapes[row['action_type']])
+        nodes.append(action_node)
+        
+        # Create conclusion node
+        conclusion_content = f"📜 {row['conclusion']}\n💪 Gear: {row['gear_strength']:.2f} | 🏋️ Skill: {row['rider_skill']:.2f}"
+        conclusion_node = StreamlitFlowNode(conclusion_id, (0, 0), {'content': conclusion_content}, 'output', 'bottom', 'top', shape='parallelogram')
+        nodes.append(conclusion_node)
+        
+        # Create edges
+        edges.append(StreamlitFlowEdge(f"{situation_id}-{action_id}", situation_id, action_id, animated=True, dashed=False))
+        edges.append(StreamlitFlowEdge(f"{action_id}-{conclusion_id}", action_id, conclusion_id, animated=True, dashed=False))
+        
+        # Create edge to previous conclusion if not the first node
+        if index > 0:
+            prev_conclusion_id = f"conclusion-{index-1}"
+            edges.append(StreamlitFlowEdge(f"{prev_conclusion_id}-{situation_id}", prev_conclusion_id, situation_id, animated=True, dashed=True))
+    
+    return nodes, edges
+
+# 📝 Markdown Preview
+def create_markdown_preview(history_df):
+    markdown = "## 🌳 Journey Preview\n\n"
+    for index, row in history_df.iterrows():
+        indent = "  " * (index * 3)
+        markdown += f"{indent}🌟 **{row['situation_name']}** ({row['situation_type']})\n"
+        markdown += f"{indent}  ↪ {row['action_emoji']} {row['action_name']} ({row['action_type']}): "
+        markdown += "✅ Success\n" if row['outcome'] else "❌ Failure\n"
+        markdown += f"{indent}    📜 {row['conclusion']}\n"
+        markdown += f"{indent}    💪 Gear: {row['gear_strength']:.2f} | 🏋️ Skill: {row['rider_skill']:.2f}\n\n"
+    return markdown
+
+# 🔄 Game State Management
+def update_game_state(game_state, situation, action, outcome, timestamp):
+    conclusion = generate_encounter_conclusion(situation, action, outcome)
+    game_state = update_character_stats(game_state, outcome)
+    
+    new_record = pd.DataFrame({
+        'user_id': [game_state['user_id']],
+        'timestamp': [timestamp],
+        'situation_id': [situation['id']],
+        'situation_name': [situation['name']],
+        'situation_emoji': [situation['emoji']],
+        'situation_type': [situation['type']],
+        'action_id': [action['id']],
+        'action_name': [action['name']],
+        'action_emoji': [action['emoji']],
+        'action_type': [action['type']],
+        'outcome': [outcome],
+        'conclusion': [conclusion],
+        'gear_strength': [game_state['gear_strength']],
+        'rider_skill': [game_state['rider_skill']],
+        'score': [game_state['score']]
+    })
+    game_state['history_df'] = pd.concat([game_state['history_df'], new_record], ignore_index=True)
+    
+    if action['id'] in game_state['history']:
+        game_state['history'][action['id']] += 1 if outcome else -1
+    else:
+        game_state['history'][action['id']] = 1 if outcome else -1
+    
+    return game_state
+
+# 🎮 Main Game Application
+def main():
+    st.title("🐱 Cat Rider 🏇")
+    st.markdown("""
+    ## Welcome to Cat Rider!
+    In this immersive adventure, you will explore the thrilling world of feline riders. This game sets the stage for dramatic situations and guided storytelling with engaging interactive elements.
+    """)
+
+    # 📜 Game Rules
+    st.markdown("""
+    ### 📜 Game Rules
+    | 🛤️ Step | 📝 Description |
+    |---------|----------------|
+    | 1️⃣ | Choose your Cat Rider |
+    | 2️⃣ | Select the Riding Gear |
+    | 3️⃣ | Set off on an Adventure |
+    | 4️⃣ | Encounter Challenges and Make Decisions |
+    | 5️⃣ | Complete the Quest and Grow Stronger |
+    """)
+
+    # 🏁 Initialize game state
+    if 'game_state' not in st.session_state:
+        st.session_state.game_state = {
+            'user_id': str(uuid.uuid4()),
+            'score': 0,
+            'history': {},
+            'gear_strength': 5,
+            'rider_skill': 5,
+            'history_df': pd.DataFrame(columns=['user_id', 'timestamp', 'situation_id', 'situation_name', 'situation_emoji', 'situation_type', 'action_id', 'action_name', 'action_emoji', 'action_type', 'outcome', 'conclusion', 'gear_strength', 'rider_skill', 'score'])
+        }
+    
+    # 📊 Game Stats
+    st.sidebar.markdown("## 📊 Game Stats")
+    st.sidebar.markdown(f"**Score:** {st.session_state.game_state['score']}")
+    st.sidebar.markdown(f"**Gear Strength:** {st.session_state.game_state['gear_strength']:.2f}")
+    st.sidebar.markdown(f"**Rider Skill:** {st.session_state.game_state['rider_skill']:.2f}")
+    
+    # 🎭 Game Loop
+    situation = generate_situation()
+    actions = generate_actions()
+    
+    st.markdown(f"## {situation['emoji']} Current Situation: {situation['name']} ({situation['type']})")
+    st.markdown(situation['description'])
+    st.markdown("### 🎭 Choose your action:")
+    
+    cols = st.columns(3)
+    for i, action in enumerate(actions):
+        if cols[i].button(f"{action['emoji']} {action['name']} ({action['type']})"):
+            outcome, success_chance = evaluate_action(action, st.session_state.game_state['gear_strength'], st.session_state.game_state['rider_skill'], st.session_state.game_state['history'])
+            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            
+            st.markdown(f"You decided to: **{action['name']}** ({action['type']})")
+            st.markdown(action['description'])
+            st.markdown(f"**Outcome:** {'✅ Success!' if outcome else '❌ Failure.'}")
+            st.markdown(f"**Success Chance:** {success_chance:.2f}%")
+            
+            if outcome:
+                st.session_state.game_state['score'] += 1
+            
+            # 🔄 Update game state
+            st.session_state.game_state = update_game_state(
+                st.session_state.game_state,
+                situation,
+                action,
+                outcome,
+                timestamp
+            )
+            
+            # Display conclusion
+            conclusion = st.session_state.game_state['history_df'].iloc[-1]['conclusion']
+            st.markdown(f"**Encounter Conclusion:** {conclusion}")
+            
+            # Display updated stats
+            st.markdown(f"**Updated Stats:**")
+            st.markdown(f"💪 Gear Strength: {st.session_state.game_state['gear_strength']:.2f}")
+            st.markdown(f"🏋️ Rider Skill: {st.session_state.game_state['rider_skill']:.2f}")
+    
+    # 📝 Display Markdown Preview
+    if not st.session_state.game_state['history_df'].empty:
+        st.markdown(create_markdown_preview(st.session_state.game_state['history_df']))
+    
+    # 🌳 Display Heterogeneous Journey Graph
+    if not st.session_state.game_state['history_df'].empty:
+        st.markdown("## 🌳 Your Journey (Heterogeneous Graph)")
+        nodes, edges = create_heterogeneous_graph(st.session_state.game_state['history_df'])
+        try:
+            streamlit_flow('cat_rider_flow', 
+                           nodes, 
+                           edges, 
+                           layout=TreeLayout(direction='down'),
+                           fit_view=True, 
+                           height=600)
+        except Exception as e:
+            st.error(f"An error occurred while rendering the journey graph: {str(e)}")
+            st.markdown("Please try refreshing the page if the graph doesn't appear.")
+    
+    # 📊 Character Stats Visualization
+    data = {"Stat": ["Gear Strength 🛡️", "Rider Skill 🏇"],
+            "Value": [st.session_state.game_state['gear_strength'], st.session_state.game_state['rider_skill']]}
+    df = pd.DataFrame(data)
+    fig = px.bar(df, x='Stat', y='Value', title="Cat Rider Stats 📊")
+    st.plotly_chart(fig)
+
+if __name__ == "__main__":
+    main()