89 lines
2.4 KiB
Python
89 lines
2.4 KiB
Python
import csv
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import re
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from nexrad.coord import Coord, COORD_SYSTEM
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"""
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Implements a parser and wrapper class for the WSR-88D radar list
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available at the following location (accessed 10 Feb 2025):
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https://apollo.nvu.vsc.edu/classes/remote/lecture_notes/radar/88d/88D_locations.html
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The input TSV file is created by copying and pasting the tabular data
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from a web browser into a text file.
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"""
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RE_PARSE = re.compile(r'^\s*(\d+)([NS]*)\s+/\s+(\d+)([EW]*)\s*$')
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def parse_int(text: str):
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size = len(text)
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degree = int(text[0:size-4])
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minute = int(text[size-4:size-2])
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second = int(text[size-2:])
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return degree + (minute / 60) + (second / 3600)
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def parse(text: str):
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match = RE_PARSE.match(text)
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if match is None:
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raise Exception("Invalid coordinates '%s'" % text)
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sign_lon = 1 if match[4] == 'E' else -1
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sign_lat = -1 if match[2] == 'S' else 1
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lon = parse_int(match[3])
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lat = parse_int(match[1])
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return Coord(sign_lon * lon, sign_lat * lat)
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RADAR_RANGE = 230000
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class Radar():
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__slots__ = 'wban', 'call', 'name', 'coord', 'site_elevation', 'tower_height',
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wban: int
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call: str
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name: str
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coord: Coord
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site_elevation: float
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tower_height: float
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@staticmethod
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def from_tsv_row(row: list):
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radar = Radar()
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radar.wban = int(row[0]) if row[0] != 'PENDING' else None
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radar.call = row[1]
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radar.name = row[2]
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radar.coord = parse(row[3])
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radar.site_elevation = 0.3048 * float(row[4])
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radar.tower_height = float(row[5])
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return radar
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@staticmethod
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def each_from_tsv(file: str):
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with open(file) as fh:
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reader = csv.reader(fh, delimiter='\t')
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for row in reader:
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for i in range(0, len(row)):
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row[i] = row[i].rstrip()
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yield Radar.from_tsv_row(row)
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def add_to_db(self, db):
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sql = """
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insert into nexrad_radar (
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wban, call, name, site_elevation, tower_height, coord
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) values (
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?, ?, ?, ?, ?, MakePoint(?, ?, %d)
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)
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""" % (COORD_SYSTEM)
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db.execute(sql, (
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self.wban, self.call, self.name,
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self.site_elevation, self.tower_height,
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self.coord.lon, self.coord.lat
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))
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