Update app.py
Browse files
app.py
CHANGED
@@ -241,28 +241,26 @@ def format_number(num):
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return str(num)
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def update_chart():
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global fig # Assuming fig is a global variable
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# Clear existing traces
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fig.data = []
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# Cell positions
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cell_types = [cell.cell_type for cell in st.session_state.env.cells]
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x_positions = [cell.x for cell in st.session_state.env.cells]
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y_positions = [cell.y for cell in st.session_state.env.cells]
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fig.add_trace(go.Scatter(x=x_positions, y=y_positions, mode='markers',
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marker=dict(color=[colors[ct] for ct in cell_types]),
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text=cell_types, hoverinfo='text'), row=1, col=1)
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# Population history
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for cell_type, counts in st.session_state.env.population_history.items():
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fig.add_trace(go.Scatter(y=counts, mode='lines', name=cell_type,
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line=dict(color=colors[cell_type])), row=1, col=2)
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# Population by cell type
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for cell_type, counts in st.session_state.env.population_history.items():
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fig.add_trace(go.Scatter(y=counts, mode='lines', name=cell_type,
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line=dict(color=colors[cell_type])), row=2, col=1)
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# Organelle distribution
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@@ -272,66 +270,23 @@ def update_chart():
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for organelle in cell.organelles:
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organelle_counts[organelle] += 1
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fig.add_trace(go.Bar(x=list(organelle_counts.keys()), y=list(organelle_counts.values()),
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name="Organelles"), row=2, col=2)
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# Update axis labels and layout
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fig.update_xaxes(title_text="X", row=1, col=1)
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fig.update_yaxes(title_text="Y", row=1, col=1)
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fig.update_xaxes(title_text="Time", row=1, col=2)
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fig.update_yaxes(title_text="Population", row=1, col=2)
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fig.update_xaxes(title_text="Time", row=2, col=1)
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fig.update_yaxes(title_text="Population", row=2, col=1)
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fig.update_xaxes(title_text="Organelle", row=2, col=2)
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fig.update_yaxes(title_text="Count", row=2, col=2)
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fig.update_layout(height=800, width=1200, title_text="Advanced Cell Evolution Simulation")
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# Update the chart placeholder
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chart_placeholder.plotly_chart(fig)
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# Sidebar for controls and live statistics
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st.sidebar.header("Simulation Controls")
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initial_cells = st.sidebar.slider("Initial number of cells", 10, 500, 200)
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update_interval = st.sidebar.slider("Update interval (seconds)", 0.01, 1.0, 0.05)
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st.sidebar.header("Environmental Effects")
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radiation = st.sidebar.checkbox("Radiation")
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predation = st.sidebar.checkbox("Predation")
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symbiosis = st.sidebar.checkbox("Symbiosis")
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effects = {
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"radiation": radiation,
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"predation": predation,
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"symbiosis": symbiosis
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}
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# Live statistics placeholders
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st.sidebar.header("Live Statistics")
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total_cells_text = st.sidebar.empty()
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cell_type_breakdown = st.sidebar.empty()
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dominant_type_text = st.sidebar.empty()
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avg_energy_text = st.sidebar.empty()
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total_merges_text = st.sidebar.empty()
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# Event log
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st.sidebar.header("Event Log")
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event_log = deque(maxlen=10) # Keep the last 10 events
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event_log_text = st.sidebar.empty()
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# Create placeholders for the chart
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chart_placeholder = st.empty()
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if 'running' not in st.session_state:
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st.session_state.running = False
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if 'total_merges' not in st.session_state:
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st.session_state.total_merges = 0
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if 'env' not in st.session_state:
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st.session_state.env = None
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if 'fig' not in st.session_state:
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st.session_state.fig = None
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def start_simulation():
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st.session_state.running = True
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@@ -340,7 +295,15 @@ def start_simulation():
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for _ in range(initial_cells):
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cell = Cell(random.uniform(0, st.session_state.env.width), random.uniform(0, st.session_state.env.height))
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st.session_state.env.add_cell(cell)
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st.session_state.fig =
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def stop_simulation():
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st.session_state.running = False
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return str(num)
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def update_chart():
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# Clear existing traces
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st.session_state.fig.data = []
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# Cell positions
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cell_types = [cell.cell_type for cell in st.session_state.env.cells]
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x_positions = [cell.x for cell in st.session_state.env.cells]
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y_positions = [cell.y for cell in st.session_state.env.cells]
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st.session_state.fig.add_trace(go.Scatter(x=x_positions, y=y_positions, mode='markers',
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marker=dict(color=[colors[ct] for ct in cell_types]),
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text=cell_types, hoverinfo='text'), row=1, col=1)
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# Population history
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for cell_type, counts in st.session_state.env.population_history.items():
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st.session_state.fig.add_trace(go.Scatter(y=counts, mode='lines', name=cell_type,
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line=dict(color=colors[cell_type])), row=1, col=2)
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# Population by cell type
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for cell_type, counts in st.session_state.env.population_history.items():
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st.session_state.fig.add_trace(go.Scatter(y=counts, mode='lines', name=cell_type,
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line=dict(color=colors[cell_type])), row=2, col=1)
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# Organelle distribution
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for organelle in cell.organelles:
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organelle_counts[organelle] += 1
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st.session_state.fig.add_trace(go.Bar(x=list(organelle_counts.keys()), y=list(organelle_counts.values()),
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name="Organelles"), row=2, col=2)
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# Update axis labels and layout
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st.session_state.fig.update_xaxes(title_text="X", row=1, col=1)
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st.session_state.fig.update_yaxes(title_text="Y", row=1, col=1)
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st.session_state.fig.update_xaxes(title_text="Time", row=1, col=2)
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st.session_state.fig.update_yaxes(title_text="Population", row=1, col=2)
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st.session_state.fig.update_xaxes(title_text="Time", row=2, col=1)
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st.session_state.fig.update_yaxes(title_text="Population", row=2, col=1)
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st.session_state.fig.update_xaxes(title_text="Organelle", row=2, col=2)
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st.session_state.fig.update_yaxes(title_text="Count", row=2, col=2)
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st.session_state.fig.update_layout(height=800, width=1200, title_text="Advanced Cell Evolution Simulation")
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# Update the chart placeholder
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chart_placeholder.plotly_chart(st.session_state.fig)
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def start_simulation():
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st.session_state.running = True
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for _ in range(initial_cells):
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cell = Cell(random.uniform(0, st.session_state.env.width), random.uniform(0, st.session_state.env.height))
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st.session_state.env.add_cell(cell)
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st.session_state.fig = go.Figure(layout=go.Layout(
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height=800, width=1200,
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title='Advanced Cell Evolution Simulation',
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showlegend=True,
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))
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# Set up subplots
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st.session_state.fig = make_subplots(rows=2, cols=2,
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subplot_titles=('Cell Positions', 'Population History',
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'Population by Cell Type', 'Organelle Distribution'))
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def stop_simulation():
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st.session_state.running = False
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