def get_content(lon=None, lat=None):
log.info(f"Pharmacy map creator started [{lon}][{lat}]")
locator = Nominatim(user_agent='bot')
radius = 1000
# read full dataset
raw = requests.get(
"http://overpass-api.de/api/interpreter?data=<query type='node'><around lat='"
+ str(lat) + "' lon='" + str(lon) + "' radius='" + str(radius) +
"'/></query><print/>").text
data = BeautifulSoup(raw, features='xml')
pharmacies = data.find_all('tag', {'k': 'amenity', 'v': 'pharmacy'})
address = pd.Series([
locator.reverse((pharmacy.parent['lat'], pharmacy.parent['lon']),
timeout=10000).address for pharmacy in pharmacies
],
dtype=str)
latitude = pd.Series([pharmacy.parent['lat'] for pharmacy in pharmacies],
dtype=float)
longitude = pd.Series([pharmacy.parent['lon'] for pharmacy in pharmacies],
dtype=float)
data = pd.DataFrame({
'address': address,
'latitude': latitude,
'longitude': longitude
})
data['distance'] = data.apply(lambda row: geopy.distance.distance(
(row['latitude'], row['longitude']), (lat, lon)).km,
axis=1)
# getting area borders
min_lat = data['latitude'].min()
max_lat = data['latitude'].max()
min_lon = data['longitude'].min()
max_lon = data['longitude'].max()
data = data.sort_values(by=['distance'])
message = f"Ближайшие аптеки в радиусе {radius} метров \r\n \r\n"
for index, point in data.head(min(10, len(data))).iterrows():
message += f"⚕ [{round(point['distance'], 2)} км] {point['address']} \r\n"
return map_extension.save_plot(log,
data,
min_lat,
max_lat,
min_lon,
max_lon,
pt_color='#00EB62FF',
pt_size=1000,
user_lat=lat,
user_lon=lon), message
