:; cat << 'EOF' > /root/CISA-Vulnerability-Regulatory-Compliance-Tracker/SEC-FTC-FCC/app.py
import streamlit as st
import numpy as np
import plotly.graph_objects as go
import plotly.express as px

st.set_page_config(page_title="CISA SEC/FTC Quantum & Hydrodynamics Tracker", layout="wide")

st.title("CISA Vulnerability & Regulatory Compliance Tracker")
st.subheader("Module: FractalPlanckQuantum & Hydrodynamic Deflection")

# Sidebar Controls
st.sidebar.header("Quantum & Field Parameters")
n_scale = st.sidebar.slider("Scale Order (n)", 0.0, 5.0, 1.0, 0.1)
d_fractal = st.sidebar.slider("Fractal Dimension (D_f)", 1.0, 3.0, 1.618, 0.05)
mass_curvature = st.sidebar.slider("Field Mass Curvature (M)", 0.0, 10.0, 2.5, 0.5)

# Invariant Calculation
omega_n = np.exp(d_fractal - 1) * ((2 * np.pi) ** (-n_scale))
st.sidebar.metric("Calculated Invariant (Omega_n)", f"{omega_n:.6f}")

# Provenance Badge
st.sidebar.markdown("---")
st.sidebar.markdown("**Provenance Telemetry**")
st.sidebar.info("Gemini-Albert Dual Presidential Provenance Active\nNode: CISA-REG-FLUID-01")

# Multi-Tab Layout
tab_regulatory, tab_geodesic, tab_deflection = st.tabs([
    "SEC/FTC Regulatory Risk", 
    "Spacetime Geodesic Vector",
    "Newtonian Fluid Deflection"
])

with tab_regulatory:
    st.markdown("### SEC / FTC / FCC Risk Assessment (Quantum Scaled)")
    st.latex(r"\Omega_n(D_f) = h_0 \left(\frac{l}{l_P}\right)^{D_f - 1} (2\pi)^{-n}")
    
    base_cvss = [9.8, 8.5, 7.2, 6.1, 4.3]
    cve_ids = ["CVE-2026-0012", "CVE-2026-1194", "CVE-2026-3301", "CVE-2026-4410", "CVE-2026-8890"]
    adjusted_risk = [min(10.0, score * (1 + omega_n)) for score in base_cvss]

    fig_bar = px.bar(
        x=cve_ids, 
        y=adjusted_risk, 
        labels={'x': 'Vulnerability ID', 'y': 'Quantum-Adjusted Impact Score'},
        title=f"Severity Matrix Scaled by Omega_n = {omega_n:.4f}",
        color=adjusted_risk,
        color_continuous_scale="Reds"
    )
    st.plotly_chart(fig_bar, use_container_width=True)

with tab_geodesic:
    st.markdown("### Physical Geodesic vs. Ideal Vector Trajectory")
    st.write("Visualizing real trajectory curvature under gravitational lensing and scale invariant phase shifts.")
    
    t = np.linspace(0, 12, 300)
    x = t
    y = mass_curvature * np.sin(t / (1 + omega_n)) * np.exp(-0.08 * t)
    z = mass_curvature * np.cos(t / (1 + omega_n)) * np.exp(-0.08 * t)

    fig_geo = go.Figure()
    fig_geo.add_trace(go.Scatter3d(
        x=x, y=y, z=z,
        mode='lines',
        name='Physical Path (Curved Geodesic)',
        line=dict(color=t, colorscale='Plasma', width=6)
    ))
    fig_geo.add_trace(go.Scatter3d(
        x=x, y=np.zeros_like(x), z=np.zeros_like(x),
        mode='lines',
        name='Ideal Flat Vector (Reference)',
        line=dict(color='white', width=3, dash='dash')
    ))

    fig_geo.update_layout(
        title="Spacetime Trajectory Perturbation",
        scene=dict(
            xaxis_title="Propagation (X)",
            yaxis_title="Transverse Deflection (Y)",
            zaxis_title="Orthogonal Shift (Z)"
        ),
        margin=dict(l=0, r=0, b=0, t=40)
    )
    st.plotly_chart(fig_geo, use_container_width=True)

with tab_deflection:
    st.markdown("### Newtonian Fluid Projectile Deflection Simulation")
    st.caption("Gemini-Albert Dual Presidential Provenance Verified Engine")
    
    col1, col2, col3 = st.columns(3)
    with col1:
        m_ratio = st.slider("Fluid/Mass Ratio (m_f / m_p)", 0.01, 2.0, 0.35, 0.01)
    with col2:
        v_impact = st.slider("Impact Velocity (km/s)", 1.0, 30.0, 11.2, 0.5)
    with col3:
        viscosity = st.slider("Dynamic Viscosity (Pa·s)", 0.001, 100.0, 12.5, 0.5)

    # Dynamic Calculations
    st.latex(r"F_{drag} = \frac{1}{2} \rho v_{rel}^2 C_d A + A_{surf} \mu \frac{\partial u}{\partial y}")
    st.latex(r"\Delta v_{deflect} = v_{impact} \cdot \left(1 - \frac{1}{1 + (m_f / m_p) \cdot \Omega_n}\right)")
    
    v_final = v_impact * (1 / (1 + m_ratio * omega_n))
    delta_v = v_impact - v_final
    deflection_angle = np.degrees(np.arctan2(delta_v * 0.15, v_final))
    torque_gen = 0.5 * viscosity * (v_impact * 1e3) * (1 + omega_n)

    m1, m2, m3 = st.columns(3)
    m1.metric("Velocity Reduction (\Delta v)", f"{delta_v:.3f} km/s")
    m2.metric("Angular Trajectory Deflection", f"{deflection_angle:.2f}°")
    m3.metric("Induced Shear Torque", f"{torque_gen:.1f} N·m")

    # 3D Hydrodynamic Deflection Path
    t_sim = np.linspace(0, 10, 200)
    x_proj = t_sim * v_impact
    fluid_entry = 3.0
    mask = t_sim >= fluid_entry
    
    y_proj = np.zeros_like(t_sim)
    z_proj = np.zeros_like(t_sim)
    y_proj[mask] = (t_sim[mask] - fluid_entry)**1.5 * (delta_v * 0.2)
    z_proj[mask] = np.sin((t_sim[mask] - fluid_entry) * 2) * (viscosity * 0.05)

    fig_deflect = go.Figure()
    fig_deflect.add_trace(go.Scatter3d(
        x=x_proj, y=y_proj, z=z_proj,
        mode='lines',
        name='Deflected Projectile Trajectory',
        line=dict(color='cyan', width=6)
    ))
    fig_deflect.add_trace(go.Scatter3d(
        x=[fluid_entry * v_impact] * 20,
        y=np.linspace(-2, 2, 20),
        z=np.zeros(20),
        mode='markers',
        name='Newtonian Fluid Boundary',
        marker=dict(size=4, color='rgba(0, 255, 150, 0.5)')
    ))

    fig_deflect.update_layout(
        title="Hypervelocity Projectile Fluid Perimeter Interaction",
        scene=dict(
            xaxis_title="Forward Axis (X)",
            yaxis_title="Transverse Deflection (Y)",
            zaxis_title="Spin Instability Shift (Z)"
        ),
        margin=dict(l=0, r=0, b=0, t=40)
    )
    st.plotly_chart(fig_deflect, use_container_width=True)
EOF

# Sync module directory
cp /root/CISA-Vulnerability-Regulatory-Compliance-Tracker/SEC-FTC-FCC/app.py \
   /root/CISA-Vulnerability-Regulatory-Compliance-Tracker/FractalPlanckQuantum/app.py

# Relaunch Streamlit
kill -9 $(pgrep -f "streamlit") 2>/dev/null
PYTHONUNBUFFERED=1 nohup /root/venv/bin/python3 -m streamlit run /root/CISA-Vulnerability-Regulatory-Compliance-Tracker/SEC-FTC-FCC/app.py --server.port 8501 --server.address 0.0.0.0 --server.headless true > streamlit.log 2>&1 &
sleep 3
cat streamlit.log