ogn-python/app/utils.py

154 wiersze
5.3 KiB
Python

import csv
import gzip
from io import StringIO
from datetime import datetime, timedelta
from flask import current_app
from aerofiles.seeyou import Reader
from ogn.parser.utils import FEETS_TO_METER
import requests
from .model import AircraftType, SenderInfoOrigin, SenderInfo, Airport, Location
DDB_URL = "http://ddb.glidernet.org/download/?t=1"
FLARMNET_URL = "http://www.flarmnet.org/files/data.fln"
address_prefixes = {"F": "FLR", "O": "OGN", "I": "ICA"}
nm2m = 1852
mi2m = 1609.34
def get_days(start, end):
days = [start + timedelta(days=x) for x in range(0, (end - start).days + 1)]
return days
def date_to_timestamps(date):
start = datetime(date.year, date.month, date.day, 0, 0, 0)
end = datetime(date.year, date.month, date.day, 23, 59, 59)
return (start, end)
def get_ddb(csv_file=None, address_origin=SenderInfoOrigin.UNKNOWN):
if csv_file is None:
r = requests.get(DDB_URL)
rows = "\n".join(i for i in r.text.splitlines() if i[0] != "#")
else:
r = open(csv_file, "r")
rows = "".join(i for i in r.readlines() if i[0] != "#")
data = csv.reader(StringIO(rows), quotechar="'", quoting=csv.QUOTE_ALL)
sender_infos = list()
for row in data:
sender_info = SenderInfo()
sender_info.address_type = row[0]
sender_info.address = row[1]
sender_info.aircraft = row[2]
sender_info.registration = row[3]
sender_info.competition = row[4]
sender_info.tracked = row[5] == "Y"
sender_info.identified = row[6] == "Y"
sender_info.aircraft_type = AircraftType(int(row[7]))
sender_info.address_origin = address_origin
sender_infos.append(sender_info)
return sender_infos
def get_flarmnet(fln_file=None, address_origin=SenderInfoOrigin.FLARMNET):
if fln_file is None:
r = requests.get(FLARMNET_URL)
rows = [bytes.fromhex(line).decode("latin1") for line in r.text.split("\n") if len(line) == 173]
else:
with open(fln_file, "r") as file:
rows = [bytes.fromhex(line.strip()).decode("latin1") for line in file.readlines() if len(line) == 173]
sender_infos = list()
for row in rows:
sender_info = SenderInfo()
sender_info.address = row[0:6].strip()
sender_info.aircraft = row[48:69].strip()
sender_info.registration = row[69:76].strip()
sender_info.competition = row[76:79].strip()
sender_infos.append(sender_info)
return sender_infos
def get_trackable(ddb):
result = []
for i in ddb:
if i.tracked and i.address_type in address_prefixes:
result.append("{}{}".format(address_prefixes[i.address_type], i.address))
return result
def get_airports(cupfile):
airports = list()
with open(cupfile) as f:
for line in f:
try:
for waypoint in Reader([line]):
if waypoint["style"] > 5: # reject unlandable places
continue
airport = Airport()
airport.name = waypoint["name"]
airport.code = waypoint["code"]
airport.country_code = waypoint["country"]
airport.style = waypoint["style"]
airport.description = waypoint["description"]
location = Location(waypoint["longitude"], waypoint["latitude"])
airport.location_wkt = location.to_wkt()
airport.altitude = waypoint["elevation"]["value"]
if waypoint["elevation"]["unit"] == "ft":
airport.altitude = airport.altitude * FEETS_TO_METER
airport.runway_direction = waypoint["runway_direction"]
airport.runway_length = waypoint["runway_length"]["value"]
if waypoint["runway_length"]["unit"] == "nm":
airport.altitude = airport.altitude * nm2m
elif waypoint["runway_length"]["unit"] == "ml":
airport.altitude = airport.altitude * mi2m
airport.frequency = waypoint["frequency"]
airports.append(airport)
except AttributeError as e:
current_app.logger.error("Failed to parse line: {} {}".format(line, e))
return airports
def open_file(filename):
"""Opens a regular or unzipped textfile for reading."""
f = open(filename, "rb")
a = f.read(2)
f.close()
if a == b"\x1f\x8b":
f = gzip.open(filename, "rt", encoding="latin-1")
return f
else:
f = open(filename, "rt", encoding="latin-1")
return f
def get_sql_trustworthy(source_table_alias):
MIN_DISTANCE = 1000
MAX_DISTANCE = 640000
MAX_NORMALIZED_QUALITY = 40 # this is enough for > 640km
MAX_ERROR_COUNT = 5
MAX_CLIMB_RATE = 50
return f"""
({source_table_alias}.distance IS NOT NULL AND {source_table_alias}.distance BETWEEN {MIN_DISTANCE} AND {MAX_DISTANCE})
AND ({source_table_alias}.normalized_quality IS NOT NULL AND {source_table_alias}.normalized_quality < {MAX_NORMALIZED_QUALITY})
AND ({source_table_alias}.error_count IS NULL OR {source_table_alias}.error_count < {MAX_ERROR_COUNT})
AND ({source_table_alias}.climb_rate IS NULL OR {source_table_alias}.climb_rate BETWEEN -{MAX_CLIMB_RATE} AND {MAX_CLIMB_RATE})
"""