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#!/usr/bin/env python3
# vim:tabstop=4 softtabstop=4 shiftwidth=4 textwidth=160 smarttab expandtab colorcolumn=160
from datetime import datetime, timedelta
from geopy.distance import distance
from progress.bar import Bar
import csv
import json
import numpy as np
import os
import psycopg2
import requests
import sys
class ProgressBar(Bar):
sma_window = 500
suffix = "%(percent).0f%% [%(elapsed_td)s/%(eta_td)s]"
conn = psycopg2.connect(
dbname=os.getenv("GEOLOOKUP_DBNAME", "geo_to_stations"),
user=os.getenv("GEOLOOKUP_DBUSER", "geo_to_stations"),
password=os.getenv("GEOLOOKUP_DBPASS"),
host=os.getenv("GEOLOOKUP_DBHOST", "localhost"),
)
shape = dict()
stops_by_latlon = dict()
routes_by_shape_id = dict()
trips_by_shape_id = dict()
name_to_eva = dict()
eva_to_name = dict()
try:
with open("data/iris-stations.json", "r") as f:
for station in json.load(f):
name_to_eva[station["name"]] = int(station["eva"])
eva_to_name[int(station["eva"])] = station["name"]
except FileNotFoundError:
print(
"populate-lut requires a list of IRIS stations. Please run the following commands:"
)
print()
print("mkdir -p data")
print(
"curl https://git.finalrewind.org/Travel-Status-DE-IRIS/plain/share/stations.json > data/iris-stations.json"
)
print()
sys.exit(1)
try:
with open("data/nvbw/trips.txt", "r") as f:
pass
with open("data/nvbw/shapes.txt", "r") as f:
pass
with open("data/nvbw/stop_times.txt", "r") as f:
pass
except FileNotFoundError:
print("populate-lut requires GTFS shapes of regional transit lines.")
print(
"At present, the best known resource is <https://www.nvbw.de/open-data/fahrplandaten/fahrplandaten-mit-liniennetz>."
)
print(
"(https://www.nvbw.de/fileadmin/user_upload/service/open_data/fahrplandaten_mit_liniennetz/bwspnv.zip)"
)
print("Please download and extract it to data/nvbw.")
sys.exit(1)
print("Loading trips ...")
with open("data/nvbw/trips.txt", "r") as f:
f.readline()
cr = csv.reader(f)
for row in cr:
route_id, trip_id, service_id, direction_id, block_id, shape_id = row
if shape_id not in routes_by_shape_id:
routes_by_shape_id[shape_id] = list()
routes_by_shape_id[shape_id].append(route_id)
if shape_id not in trips_by_shape_id:
trips_by_shape_id[shape_id] = list()
trips_by_shape_id[shape_id].append(trip_id)
print("Loading shapes ...")
with open("data/nvbw/shapes.txt", "r") as f:
f.readline()
cr = csv.reader(f)
prev_lat, prev_lon = None, None
prev_dist = 0
for row in cr:
shape_id, _, lat, lon, dist = row
if shape_id not in shape:
shape[shape_id] = list()
prev_dist = 0
lat = float(lat)
lon = float(lon)
dist = float(dist)
if dist > prev_dist and dist - prev_dist > 200:
# ensure shape entries are no more than 200m apart
for i in np.arange(200, dist - prev_dist, 200):
ratio = i / (dist - prev_dist)
assert 0 <= ratio <= 1
rel_lat = (prev_lat * ratio + lat * (1 - ratio)) / 2
rel_lon = (prev_lon * ratio + lon * (1 - ratio)) / 2
shape[shape_id].append((rel_lat, rel_lon, dist))
shape[shape_id].append((lat, lon, dist))
prev_dist = dist
prev_lat = lat
prev_lon = lon
def add_stops(lat, lon, stops):
lut_lat_center = round(lat * 1000)
lut_lon_center = round(lon * 1000)
evas = list()
for stop in stops:
try:
evas.append(name_to_eva[stop])
except KeyError:
try:
evas.append(name_to_eva[stop.replace(" (", "(")])
except KeyError:
pass
for lut_lat in range(lut_lat_center - 0, lut_lat_center + 1):
for lut_lon in range(lut_lon_center - 0, lut_lon_center + 1):
if (lut_lat, lut_lon) not in stops_by_latlon:
stops_by_latlon[(lut_lat, lut_lon)] = set()
stops_by_latlon[(lut_lat, lut_lon)].update(evas)
print("Loading stop_times ...")
stops_by_tripid = dict()
with open("data/nvbw/stop_times.txt", "r") as f:
f.readline()
cr = csv.reader(f)
for row in cr:
(
trip_id,
stop_id,
arrival_time,
departure_time,
stop_seq,
stop_headsign,
pickup_type,
dropoff_type,
dist,
) = row
if trip_id not in stops_by_tripid:
stops_by_tripid[trip_id] = list()
stops_by_tripid[trip_id].append((stop_headsign, float(dist)))
num_shapes = len(shape.keys())
for shape_id in ProgressBar("Calculating neighoubrs", max=num_shapes).iter(
shape.keys()
):
for trip_id in trips_by_shape_id[shape_id]:
stops = stops_by_tripid[trip_id]
first_stop = stops[0]
last_stop = stops[-1]
for lat, lon, shape_dist in shape[shape_id]:
assert first_stop[1] <= shape_dist <= last_stop[1]
for i, (stop_name, stop_dist) in enumerate(stops):
if (
stop_dist <= shape_dist
and i + 1 < len(stops)
and stops[i + 1][1] >= shape_dist
):
add_stops(lat, lon, (stop_name, stops[i + 1][0]))
num_latlons = len(stops_by_latlon.keys())
with conn.cursor() as cur:
cur.execute("drop table if exists stations")
cur.execute(
"""create table stations (
lat integer not null,
lon integer not null,
stations jsonb not null,
primary key (lat, lon)
)
"""
)
for (lat, lon), stops in ProgressBar("Inserting coordinates", max=num_latlons).iter(
stops_by_latlon.items()
):
with conn.cursor() as cur:
cur.execute(
"""insert into stations (lat, lon, stations) values (%s, %s, %s)""",
(lat, lon, json.dumps(list(stops))),
)
conn.commit()
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