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| import os | |
| from pathlib import Path | |
| import geopandas as gpd | |
| from dotenv import load_dotenv | |
| from geopy.geocoders import Nominatim | |
| from shapely.geometry import Point | |
| load_dotenv() | |
| project_root = Path(__file__).parent.parent | |
| file_rmqs = os.path.join(project_root, 'data/soil_data/raw_data/rmqs.geojson') | |
| df = gpd.read_file(file_rmqs) | |
| def get_city_coordinates(city_name): | |
| """Get latitude and longitude of a city using Nominatim.""" | |
| geolocator = Nominatim(user_agent="geo_finder") | |
| location = geolocator.geocode(city_name) | |
| if location: | |
| return (location.longitude, location.latitude) | |
| return None | |
| def find_nearest_point_to_city(city_name): | |
| """Find the closest GPS point in the dataset to the given city.""" | |
| city_coords = get_city_coordinates(city_name) | |
| print("city coords", city_coords) | |
| if not city_coords: | |
| return "City not found" | |
| # Iterate through GeoJSON features | |
| df["distance"] = df["geometry"].distance(Point(city_coords[0], city_coords[1])) | |
| closest_point = df.loc[df["distance"].idxmin()] | |
| return closest_point # Returns the closest feature | |
| def find_nearest_point_to_coordinates(latitude, longitude): | |
| """Find the closest GPS point in the dataset to the given GPS coordinates.""" | |
| # Iterate through GeoJSON features | |
| df["distance"] = df["geometry"].distance(Point(latitude, longitude)) | |
| closest_point = df.loc[df["distance"].idxmin()] | |
| return closest_point # Returns the closest feature | |
| def get_soil_properties(latitude, longitude): | |
| closest_feature = find_nearest_point_to_coordinates(latitude, longitude) | |
| clay = closest_feature.clay | |
| silt = closest_feature.silt | |
| sand = closest_feature.sand | |
| soc = closest_feature.soc | |
| soil_mosture, field_capacity, wilting_point = calcul_metriques_sol(clay, silt, sand, soc) | |
| soil_properties = { | |
| "clay": clay, | |
| "silt": silt, | |
| "sand": sand, | |
| "soc": soc, | |
| "soil_moisture": soil_mosture, | |
| "field_capacity": field_capacity, | |
| "wilting_point": wilting_point, | |
| } | |
| return soil_properties | |
| def calcul_metriques_sol(clay, silt, sand, soc): | |
| """ | |
| Calcule le point de flétrissement (WP), l'humidité actuelle du sol (SM) et la capacité au champ (FC). | |
| :param clay: Pourcentage d'argil dans le sol (%) | |
| :param silt: Pourcentage de silt dans le sol (%) | |
| :param sand: Pourcentage de sand dans le sol (%) | |
| :param soc: Carbone organique du sol (%) | |
| :return: WP, SM et FC (%) | |
| """ | |
| # Calcul de la capacité au champ (FC) | |
| FC = 0.2576 * silt + 0.2484 * clay + 0.3664 * soc + 20.83 | |
| # Calcul du point de flétrissement (WP) | |
| WP = 0.026 * clay + 0.5 * soc + 3.0 | |
| # Calcul de l'humidité actuelle du sol (SM) comme 50% de la plage entre FC et WP | |
| SM = WP + 0.5 * (FC - WP) | |
| # Retourne les résultats sous forme de dictionnaire | |
| return round(SM, 2), round(FC, 2), round(WP, 2) | |
| if __name__ == "__main__": | |
| # Example usage | |
| city = "Paris" | |
| closest_feature = find_nearest_point_to_city(city) | |
| print(closest_feature) | |
| latitude, longitude = 47, 5 | |
| closest_feature = find_nearest_point_to_coordinates(latitude, longitude) | |
| print(closest_feature) | |
| soil_properties = get_soil_properties(latitude, longitude) | |
| print(soil_properties) | |