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128 lines
5.0 KiB
Python
128 lines
5.0 KiB
Python
# helper functions to use location data
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# K7MHI Kelly Keeton 2024
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from geopy.geocoders import Nominatim # pip install geopy
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import maidenhead as mh # pip install maidenhead
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import requests # pip install requests
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import bs4 as bs # pip install beautifulsoup4
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def where_am_i(lat=0, lon=0):
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whereIam = ""
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if float(lat) == 0 and float(lon) == 0:
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return "no location data: does your device have GPS?"
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# initialize Nominatim API
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geolocator = Nominatim(user_agent="mesh-bot")
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location = geolocator.reverse(lat+","+lon)
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address = location.raw['address']
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if 'house_number' in address:
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whereIam += address['house_number'] + " "
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if 'road' in address:
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whereIam += address['road'] + ", "
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if 'city' in address:
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whereIam += address['city'] + ", "
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if 'state' in address:
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whereIam += address['state'] + " "
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if 'postcode' in address:
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whereIam += address['postcode']
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if 'county' in address:
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whereIam += " " + address['county']
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if 'country' in address:
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whereIam += " " + address['country']
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grid = mh.to_maiden(float(lat), float(lon))
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whereIam += " Grid:" + grid
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return whereIam
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def get_tide(lat=0, lon=0):
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station_id = ""
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if float(lat) == 0 and float(lon) == 0:
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return "no location data: does your device have GPS?"
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station_lookup_url = "https://api.tidesandcurrents.noaa.gov/mdapi/prod/webapi/tidepredstations.json?lat=" + str(lat) + "&lon=" + str(lon) + "&radius=50"
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station_data = requests.get(station_lookup_url, timeout=5)
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if(station_data.ok):
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station_json = station_data.json()
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#get first station id in 50 mile radius
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station_id = station_json['stationList'][0]['stationId']
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station_url="https://tidesandcurrents.noaa.gov/noaatidepredictions.html?id="+station_id
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station_data = requests.get(station_url, timeout=5)
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if(station_data.ok):
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#extract table class="table table-condensed"
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soup = bs.BeautifulSoup(station_data.text, 'html.parser')
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table = soup.find('table', class_='table table-condensed')
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#extract rows
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rows = table.find_all('tr')
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#extract data from rows
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tide_data = []
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for row in rows:
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row_text = ""
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cols = row.find_all('td')
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for col in cols:
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row_text += col.text + " "
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tide_data.append(row_text)
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# format tide data into a string
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tide_string = ""
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for data in tide_data:
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tide_string += data + "\n"
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#trim off last newline
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tide_string = tide_string[:-1]
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return tide_string
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else:
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return "error fetching tide data"
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def get_weather(lat=0, lon=0):
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weather = ""
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if float(lat) == 0 and float(lon) == 0:
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return "no location data: does your device have GPS?"
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weather_url = "https://forecast.weather.gov/MapClick.php?FcstType=text&lat=" + str(lat) + "&lon=" + str(lon)
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weather_data = requests.get(weather_url, timeout=5)
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if(weather_data.ok):
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soup = bs.BeautifulSoup(weather_data.text, 'html.parser')
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table = soup.find('div', id="detailed-forecast-body")
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#get rows
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rows = table.find_all('div', class_="row")
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#extract data from rows
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for row in rows:
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#shrink the text
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line = row.text.replace("Monday", "Mon") \
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.replace("Tuesday", "Tue") \
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.replace("Wednesday", "Wed") \
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.replace("Thursday", "Thu") \
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.replace("Friday", "Fri") \
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.replace("Saturday", "Sat") \
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.replace("Sunday", "Sun") \
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.replace("northwest", "NW") \
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.replace("northeast", "NE") \
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.replace("southwest", "SW") \
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.replace("southeast", "SE") \
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.replace("north", "N") \
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.replace("south", "S") \
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.replace("east", "E") \
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.replace("west", "W") \
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.replace("Northwest", "NW") \
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.replace("Northeast", "NE") \
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.replace("Southwest", "SW") \
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.replace("Southeast", "SE") \
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.replace("North", "N") \
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.replace("South", "S") \
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.replace("East", "E") \
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.replace("West", "W") \
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.replace("precipitation", "precip") \
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.replace("showers", "shwrs") \
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.replace("thunderstorms", "t-storms")
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#only grab a few days of weather
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if len(weather.split("\n")) < 4:
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weather += line + "\n"
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#trim off last newline
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weather = weather[:-1]
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return weather
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else:
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return "error fetching weather data"
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