New Airport Lookup
-New Database Source -Airport types per plane in config
This commit is contained in:
Jack Sweeney
GitHub
parent
dc4b0e240b
commit
a8608f5c54
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@ -2,4 +2,5 @@
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pythonenv3.8/
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Roboto-Regular.ttf
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airports.dat
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__pycache__
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__pycache__
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airports.csv
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@ -7,8 +7,12 @@ ICAO = icaohere
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#Enter GOOGLESTATICMAP or ADSBX
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OPTION = ADSBX
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#TITLE for Twitter, PB and Discord are Just text added to the front of each message/tweet sent
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[AIRPORT]
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#Requires a list of airport types, this plane could land/takeoff at
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#Choices: small_airport, medium_airport, large_airport, heliport, seaplane_base
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TYPES = [small_airport, medium_airport, large_airport]
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#TITLE for Twitter, PB and Discord are Just text added to the front of each message/tweet sent
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[TWITTER]
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ENABLE = FALSE
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TITLE =
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@ -27,5 +31,5 @@ CHANNEL_TAG = channeltag
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ENABLE = TRUE
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#WEBHOOK URL https://support.discord.com/hc/en-us/articles/228383668-Intro-to-Webhooks
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URL = webhookurl
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Title =
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Title =
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USERNAME = plane-notify
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@ -2,48 +2,63 @@
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#https://openflights.org/data.html
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def download_airports():
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import os
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if not os.path.isfile('airports.dat'):
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print("No airports.dat file, downloading now")
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if not os.path.isfile('airports.csv'):
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print("No airports.csv file, downloading now")
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try:
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import requests
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url = 'https://raw.githubusercontent.com/jpatokal/openflights/master/data/airports.dat'
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url = 'https://ourairports.com/data/airports.csv'
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airports = requests.get(url)
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open('airports.dat', 'wb').write(airports.content)
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open('airports.csv', 'wb').write(airports.content)
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except:
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raise("Error getting airports.dat or storing")
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else:
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#Writes current date to airports.dat to show when it was aqquired
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import datetime
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date = datetime.datetime.now()
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with open('airports.dat', 'a') as airports:
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with open('airports.csv', 'a') as airports:
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airports.write("#" + str(date))
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print("Successfully got airports.dat")
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elif os.path.isfile('airports.dat'):
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print("Already Have airports.dat, continuing")
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def getClosestAirport(latitude, longitude):
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import json
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import csv
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from geopy.distance import geodesic
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plane = (latitude, longitude)
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header = ["id", "name", "city", "country", "iata", "icao", "lat", "lng", "alt", "tz", "dst", "tz_db", "type", "source"]
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airports = []
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first_run = True
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with open('airports.dat', encoding='utf-8') as csvf:
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reader = csv.DictReader(filter(lambda row: row[0]!='#', csvf), header)
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#for row in reader:
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# airports.append(row)
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for row in reader:
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airport = row
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airport_coord = float(airport['lat']), float(airport['lng'])
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airport_dist = float((geodesic(plane, airport_coord).mi))
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if first_run:
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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first_run = False
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elif airport_dist < closest_airport_dist:
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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closest_airport_dict['distance'] = closest_airport_dist
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print("Closest Airport:", closest_airport_dict['icao'], closest_airport_dict['name'], closest_airport_dist, "Miles Away")
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return closest_airport_dict
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print("Successfully got airports.csv")
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elif os.path.isfile('airports.csv'):
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print("Already Have airports.csv, continuing")
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#OLD Airport lookup
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# def getClosestAirport(latitude, longitude):
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# import csv
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# from geopy.distance import geodesic
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# plane = (latitude, longitude)
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# header = ["id", "name", "city", "country", "iata", "icao", "lat", "lng", "alt", "tz", "dst", "tz_db", "type", "source"]
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# with open('airports.dat', encoding='utf-8') as airport_dat:
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# airport_dat_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_dat), header)
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# for airport in airport_dat_reader:
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# airport_coord = float(airport['lat']), float(airport['lng'])
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# airport_dist = float((geodesic(plane, airport_coord).mi))
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# if "closest_airport_dict" not in locals():
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# closest_airport_dict = airport
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# closest_airport_dist = airport_dist
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# elif airport_dist < closest_airport_dist:
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# closest_airport_dict = airport
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# closest_airport_dist = airport_dist
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# closest_airport_dict['distance'] = closest_airport_dist
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# print("Closest Airport:", closest_airport_dict['icao'], closest_airport_dict['name'], closest_airport_dist, "Miles Away")
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# return closest_airport_dict
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def getClosestAirport(latitude, longitude, allowed_types):
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import csv
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from geopy.distance import geodesic
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plane = (latitude, longitude)
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with open('airports.csv', 'r') as airport_csv:
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airport_csv_reader = csv.DictReader(filter(lambda row: row[0]!='#', airport_csv))
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for airport in airport_csv_reader:
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if airport['type'] in allowed_types:
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airport_coord = float(airport['latitude_deg']), float(airport['longitude_deg'])
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airport_dist = float((geodesic(plane, airport_coord).mi))
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if "closest_airport_dict" not in locals():
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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elif airport_dist < closest_airport_dist:
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closest_airport_dict = airport
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closest_airport_dist = airport_dist
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closest_airport_dict['distance'] = closest_airport_dist
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#Convert indent key to icao key as its labeled icao in other places not ident
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closest_airport_dict['icao'] = closest_airport_dict.pop('ident')
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print("Closest Airport:", closest_airport_dict['icao'], closest_airport_dict['name'], closest_airport_dist, "Miles Away")
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return closest_airport_dict
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@ -223,11 +223,11 @@ class Plane:
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if self.landed or self.tookoff:
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if self.trigger_type == "now on ground" or "data acquisition" and self.longitude != None and self.latitude != None:
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self.combined = f"{self.latitude} , {self.longitude}"
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nearest_airport_dict = getClosestAirport(self.latitude, self.longitude)
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nearest_airport_dict = getClosestAirport(self.latitude, self.longitude, self.config.get("AIRPORT", "TYPES"))
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self.has_coords = True
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elif self.trigger_type == "data loss" or "no longer on ground" and self.last_longitude != None and self.last_latitude != None:
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self.combined = f"{self.last_latitude}, {self.last_longitude}"
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nearest_airport_dict = getClosestAirport(self.last_latitude, self.last_longitude)
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nearest_airport_dict = getClosestAirport(self.last_latitude, self.last_longitude, self.config.get("AIRPORT", "TYPES"))
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self.has_coords = True
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else:
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print (Fore.RED + 'No Location')
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