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Build & Deploy Shannon / 🏗️ Build & Deploy Shannon (push) Successful in 3m1s
- Implemented bandwidth sensitivity and power sensitivity plots. - Created a contour map for bit rate multiplying factors. - Added input parameters for C/N and bandwidth with validation. - Displayed computed results and sensitivity analysis metrics. - Integrated interactive graphs for user exploration. - Included background information section for user guidance.
160 lines
5.4 KiB
Python
160 lines
5.4 KiB
Python
"""
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Shannon Equation for Dummies — Streamlit Application
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Main entry point with sidebar navigation.
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Designed for containerized deployment (Docker), multi-user, 24/7 operation.
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Run with:
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streamlit run app.py --server.port 8080 --server.address 0.0.0.0
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"""
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import streamlit as st
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# ──────────────────────────────────────────────────────────────────────────────
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# Page Configuration (must be first Streamlit call)
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# ──────────────────────────────────────────────────────────────────────────────
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st.set_page_config(
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page_title="Shannon's Equation for Dummies",
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page_icon="📡",
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layout="wide",
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initial_sidebar_state="expanded",
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)
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# ──────────────────────────────────────────────────────────────────────────────
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# Custom CSS for a modern, clean look
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# ──────────────────────────────────────────────────────────────────────────────
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st.markdown("""
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<style>
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/* Main container */
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.block-container {
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padding-top: 2rem;
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padding-bottom: 2rem;
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}
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/* Metric styling */
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[data-testid="stMetric"] {
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background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
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border: 1px solid #0f3460;
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border-radius: 12px;
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padding: 16px;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.3);
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}
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[data-testid="stMetricLabel"] {
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font-size: 0.85rem !important;
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color: #a0aec0 !important;
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}
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[data-testid="stMetricValue"] {
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font-size: 1.1rem !important;
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color: #e2e8f0 !important;
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}
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/* Sidebar */
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[data-testid="stSidebar"] {
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background: linear-gradient(180deg, #0d1b2a 0%, #1b2838 100%);
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}
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/* Tab styling */
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.stTabs [data-baseweb="tab-list"] {
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gap: 8px;
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}
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.stTabs [data-baseweb="tab"] {
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border-radius: 8px;
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padding: 8px 16px;
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}
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/* Dividers */
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hr {
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border-color: #1e3a5f !important;
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}
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/* Expanders */
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.streamlit-expanderHeader {
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font-size: 1rem;
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font-weight: 600;
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}
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/* Links */
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a {
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color: #4FC3F7 !important;
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}
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/* Info boxes */
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.stAlert {
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border-radius: 10px;
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}
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/* Hide Deploy button and hamburger menu */
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[data-testid="stMainMenu"],
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[data-testid="stToolbar"] {
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display: none !important;
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}
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</style>
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""", unsafe_allow_html=True)
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# ──────────────────────────────────────────────────────────────────────────────
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# Sidebar Navigation
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# ──────────────────────────────────────────────────────────────────────────────
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with st.sidebar:
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st.markdown("## 📡 Shannon for Dummies")
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st.caption("Educational Application — AP Feb 2021")
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st.divider()
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page = st.radio(
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"Navigation",
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options=["animation", "orbits", "sat_types", "theory", "real_world", "contributions"],
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format_func=lambda x: {
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"animation": "📡 Satellite Link Animation",
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"orbits": "🌍 GEO / MEO / LEO Orbits",
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"sat_types": "🛰️ Satellite Missions & Types",
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"theory": "🧮 Theoretical Exploration",
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"real_world": "🛰️ Real World Link Budget",
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"contributions": "💬 Community Contributions",
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}[x],
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label_visibility="collapsed",
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)
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st.divider()
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st.markdown(
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"**About**\n\n"
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"Exploration from Claude Shannon's initial theory "
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"to its practical application to satellite communications.\n\n"
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"Built with [Streamlit](https://streamlit.io) · "
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"[Plotly](https://plotly.com)"
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)
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st.caption("© 2021-2026 · Shannon Equation for Dummies")
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# ──────────────────────────────────────────────────────────────────────────────
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# Page Routing
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# ──────────────────────────────────────────────────────────────────────────────
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if page == "animation":
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from views.satellite_animation import render
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render()
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elif page == "orbits":
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from views.orbits_animation import render
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render()
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elif page == "sat_types":
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from views.satellite_types import render
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render()
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elif page == "theory":
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from views.theory import render
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render()
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elif page == "real_world":
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from views.real_world import render
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render()
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elif page == "contributions":
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from views.contributions import render
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render()
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