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#!/usr/bin/env python3
# vim:tabstop=4 softtabstop=4 shiftwidth=4 textwidth=160 smarttab expandtab colorcolumn=160
import csv
import json
from geopy.distance import distance
from progress.bar import Bar
class ProgressBar(Bar):
suffix = "%(percent).0f%% [%(elapsed_td)s/%(eta_td)s]"
vrr_stops = list()
with open("haltestellenliste.csv", "r", encoding="iso-8859-1") as f:
f.readline()
cr = csv.reader(f, delimiter=";")
for city, place, _, _, _, lon, lat, stop, _, _ in cr:
lon = lon[:5] + lon[6:]
lat = lat[:6] + lat[7:]
try:
vrr_stops.append(
(stop.strip(), float(lat), float(lon), city.strip(), place.strip())
)
except ValueError:
# invalid entry
pass
with open("/home/derf/var/code/Travel-Status-DE-IRIS/share/stations.json", "r") as f:
iris_stops = json.load(f)
output = dict()
for iris_stop in ProgressBar(max=len(iris_stops)).iter(iris_stops):
eva = iris_stop["eva"]
iris_name = iris_stop["name"]
iris_lat, iris_lon = iris_stop["latlong"]
for stop, lat, lon, city, place in vrr_stops:
if stop == iris_name:
output[eva] = city, place, stop
break
if eva in output:
continue
candidates = list()
for stop, lat, lon, city, place in vrr_stops:
if abs(lat - iris_lat) < 0.01 and abs(lon - iris_lon) < 0.01:
candidates.append(
(
stop,
lat,
lon,
city,
place,
distance((lat, lon), (iris_lat, iris_lon)).m,
)
)
if not candidates:
continue
candidates.sort(key=lambda x: x[5])
stop, _, _, city, place, _ = candidates[0]
output[eva] = city, place, stop
with open("share/vrr.json", "w", encoding="utf-8") as f:
json.dump(output, f, ensure_ascii=False)
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