import streamlit as st from src.utils import ( format_energy_eq_electric_vehicle, format_energy_eq_electricity_consumption_ireland, format_energy_eq_electricity_production, format_energy_eq_physical_activity, format_gwp_eq_airplane_paris_nyc, format_gwp_eq_streaming, range_plot, PhysicalActivity, EnergyProduction, ) ############################################################################################################ def get_impacts(model, active_params, total_params, mix_ghg, mix_adpe, mix_pe): return 1 ############################################################################################################ def display_impacts(impacts): st.divider() col1, col_energy, col_ghg, col2 = st.columns([1,2,2,1]) with col_energy: st.markdown(f"""

⚡️

Energy

""", unsafe_allow_html = True) st.markdown(f'
Electricity consumption
', unsafe_allow_html = True) range_plot(impacts.energy.magnitude,impacts.energy_min.magnitude, impacts.energy_max.magnitude, impacts.energy.units) with col_ghg: st.markdown(f"""
🌍️
GHG Emissions
""", unsafe_allow_html = True) st.markdown(f'
Effect on global warming
', unsafe_allow_html = True) range_plot(impacts.gwp.magnitude,impacts.gwp_min.magnitude, impacts.gwp_max.magnitude, impacts.gwp.units) st.markdown(f'
', unsafe_allow_html = True) col_adpe, col_pe, col_water = st.columns(3) with col_adpe: st.markdown(f"""
🪨
""", unsafe_allow_html = True) st.markdown(f"""
Abiotic Resources
""", unsafe_allow_html = True) st.markdown('
Use of metals and minerals
', unsafe_allow_html = True) range_plot(impacts.adpe.magnitude,impacts.adpe_min.magnitude, impacts.adpe_max.magnitude, impacts.adpe.units) with col_pe: st.markdown(f"""
⛽️
""", unsafe_allow_html = True) st.markdown(f"""
Primary Energy
""", unsafe_allow_html = True) st.markdown(f'
Use of natural energy resources
', unsafe_allow_html = True) range_plot(impacts.pe.magnitude,impacts.pe_min.magnitude, impacts.pe_max.magnitude, impacts.pe.units) with col_water: st.markdown(f"""
🚰
""", unsafe_allow_html = True) st.markdown(f"""
Water
""", unsafe_allow_html = True) st.markdown(f'
Evaluates the use of water
', unsafe_allow_html = True) st.markdown(f"""
Upcoming...
""", unsafe_allow_html = True) ############################################################################################################ def display_equivalent(impacts): st.divider() ev_eq = format_energy_eq_electric_vehicle(impacts.energy) streaming_eq = format_gwp_eq_streaming(impacts.gwp) col1, col2, col3 = st.columns(3) with col1: physical_activity, distance = format_energy_eq_physical_activity(impacts.energy) if physical_activity == PhysicalActivity.WALKING: physical_activity = "🚶 " + physical_activity.capitalize() if physical_activity == PhysicalActivity.RUNNING: physical_activity = "🏃 " + physical_activity.capitalize() st.markdown( f'
{physical_activity}
', unsafe_allow_html=True ) st.latex(f"\Large {distance.magnitude:.3g} \ \large {distance.units}") st.markdown( '
Based on energy consumption
', unsafe_allow_html=True, ) with col2: ev_eq = format_energy_eq_electric_vehicle(impacts.energy) st.markdown( '
🔋 Electric Vehicle
', unsafe_allow_html=True ) st.latex(f"\Large {ev_eq.magnitude:.3g} \ \large {ev_eq.units}") st.markdown( '
Based on energy consumption
', unsafe_allow_html=True, ) with col3: streaming_eq = format_gwp_eq_streaming(impacts.gwp) st.markdown('
⏯️ Streaming
', unsafe_allow_html=True) st.latex(f"\Large {streaming_eq.magnitude:.3g} \ \large {streaming_eq.units}") st.markdown( '
Based on GHG emissions
', unsafe_allow_html=True, ) st.divider() st.markdown( '
What if 1% of the planet does this request everyday for 1 year ?
', unsafe_allow_html=True, ) st.markdown( '
If this use case is largely deployed around the world, the equivalent impacts would be the impacts of this request x 1% of 8 billion people x 365 days in a year.
', unsafe_allow_html=True, ) col4, col5, col6 = st.columns(3) with col4: electricity_production, count = format_energy_eq_electricity_production( impacts.energy ) if electricity_production == EnergyProduction.NUCLEAR: emoji = "☢️" name = "Nuclear power plants" if electricity_production == EnergyProduction.WIND: emoji = "💨️ " name = "Wind turbines" st.markdown( f'
{emoji} {count.magnitude:.0f} {name} (yearly)
', unsafe_allow_html=True, ) st.markdown( '
Based on energy consumption
', unsafe_allow_html=True, ) with col5: ireland_count = format_energy_eq_electricity_consumption_ireland(impacts.energy) st.markdown( f'
🇮🇪 {ireland_count.magnitude:.3f} x Ireland (yearly ⚡️ cons.)
', unsafe_allow_html=True, ) st.markdown( '
Based on energy consumption
', unsafe_allow_html=True, ) with col6: paris_nyc_airplane = format_gwp_eq_airplane_paris_nyc(impacts.gwp) st.markdown(f'
✈️ {round(paris_nyc_airplane.magnitude):,} Paris ↔ NYC
', unsafe_allow_html = True) st.markdown(f'
Based on GHG emissions
', unsafe_allow_html = True) def display_equivalent_energy(impacts): st.markdown('
', unsafe_allow_html = True) ev_eq = format_energy_eq_electric_vehicle(impacts.energy) col1, col2, col3 = st.columns(3) with col2: physical_activity, distance = format_energy_eq_physical_activity(impacts.energy) if physical_activity == PhysicalActivity.WALKING: physical_activity = "🚶 " + physical_activity.capitalize() if physical_activity == PhysicalActivity.RUNNING: physical_activity = "🏃 " + physical_activity.capitalize() st.markdown(f'
{physical_activity}
', unsafe_allow_html = True) st.markdown(f"""
≈ {distance.magnitude:.3g} {distance.units}
""", unsafe_allow_html = True) with col3: ev_eq = format_energy_eq_electric_vehicle(impacts.energy) st.markdown(f"""
🔋 Electric Vehicle
""", unsafe_allow_html = True) st.markdown(f"""
≈ {ev_eq.magnitude:.3g} {ev_eq.units}
""", unsafe_allow_html = True) with col1: st.markdown(f"""
⚡️Energy
""", unsafe_allow_html = True) st.markdown(f"""
{impacts.energy.magnitude:.3g} {impacts.energy.units}
""", unsafe_allow_html = True) st.divider() st.markdown('
What if 1% of the planet does the same everyday for 1 year ?
', unsafe_allow_html = True) st.markdown(f"""
{impacts.energy.magnitude:.3g} {impacts.energy.units} x 1% of 8 billion people x 365 days are ≈ equivalent to

""", unsafe_allow_html = True) col4, col5, col6 = st.columns(3) with col4: electricity_production, count = format_energy_eq_electricity_production(impacts.energy) if electricity_production == EnergyProduction.NUCLEAR: emoji = "☢️" name = "Nuclear power plants" if electricity_production == EnergyProduction.WIND: emoji = "💨️ " name = "Wind turbines" st.markdown(f'
{emoji} {count.magnitude:.0f} {name}
', unsafe_allow_html = True) st.markdown(f'
Energy produced yearly
', unsafe_allow_html = True) with col5: ireland_count = format_energy_eq_electricity_consumption_ireland(impacts.energy) st.markdown(f'
⚡️ 🇮🇪 {ireland_count.magnitude:.3f} x Ireland
', unsafe_allow_html = True) st.markdown(f'
Yearly electricity consumption
', unsafe_allow_html = True) def display_equivalent_ghg(impacts): st.markdown('
', unsafe_allow_html = True) streaming_eq = format_gwp_eq_streaming(impacts.gwp) col1, col2, col3 = st.columns(3) with col1: st.markdown(f"""
🌍️GHG Emissions
""", unsafe_allow_html = True) st.markdown(f"""
{impacts.gwp.magnitude:.3g} {impacts.gwp.units}
""", unsafe_allow_html = True) with col2: streaming_eq = format_gwp_eq_streaming(impacts.gwp) st.markdown(f"""
⏯️ Streaming
""", unsafe_allow_html = True) st.markdown(f"""
≈ {streaming_eq.magnitude:.3g} {streaming_eq.units}
""", unsafe_allow_html = True) st.divider() st.markdown('
What if 1% of the planet does the same everyday for 1 year ?
', unsafe_allow_html = True) st.markdown(f"""
{impacts.gwp.magnitude:.3g} {impacts.gwp.units} x 1% of 8 billion people x 365 days are ≈ equivalent to

""", unsafe_allow_html = True) col4, col5, col6 = st.columns(3) with col5: paris_nyc_airplane = format_gwp_eq_airplane_paris_nyc(impacts.gwp) st.markdown(f'
✈️ {round(paris_nyc_airplane.magnitude):,} Paris ↔ NYC
', unsafe_allow_html = True) st.markdown(f'
Based on GHG emissions
', unsafe_allow_html = True)