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import pandas as pd |
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import folium |
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from folium import IFrame |
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import plotly.graph_objects as go |
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from APIs.geolocation import get_geolocation, get_risques |
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from APIs.meteo import get_info_meteo |
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def get_and_plot_meteo(lat, lon): |
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df = get_info_meteo(lat, lon) |
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fig = go.Figure() |
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fig.add_trace(go.Scatter(x=df['date'], y=df['daily_temperature_2m_max_C'], |
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name="Température °C", mode="lines+markers")) |
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fig.add_trace(go.Scatter(x=df['date'], y=df['avg_hourly_relative_humidity_2m_%'], |
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name="Humidité moyenne en %", mode="lines+markers", yaxis="y2")) |
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fig.update_layout( |
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title="Température maximale et humidité moyenne journalière", |
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xaxis_title="Date", |
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yaxis_title="Température (°C)", |
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yaxis2=dict( |
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title="Humidity (%)", |
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overlaying="y", |
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side="right" |
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) |
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) |
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return fig |
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def show_map(lat, lon, address): |
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if address: |
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lat_tmp, lon_tmp, code_insee = get_geolocation(address, None, None) |
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risques = get_risques(code_insee=code_insee) |
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if lat_tmp or lon_tmp: |
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lat, lon = lat_tmp, lon_tmp |
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else: |
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return "Adress not found. Please enter a valid address", "" |
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if lat and lon: |
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lat_tmp, lon_tmp, code_insee = get_geolocation(None, lat, lon) |
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risques = get_risques(code_insee=code_insee) |
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location_map = folium.Map(location=[lat, lon], zoom_start=14) |
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folium.Marker([lat, lon], popup=risques).add_to(location_map) |
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map_html = location_map._repr_html_() |
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fig = get_and_plot_meteo(lat, lon) |
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return map_html, fig |
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