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#!/usr/bin/env python3
# vim:tabstop=4 softtabstop=4 shiftwidth=4 textwidth=160 smarttab expandtab colorcolumn=160
import argparse
import psycopg2
import aiohttp
from aiohttp import web
from datetime import datetime, timedelta
import dateutil.parser
from geopy.distance import distance
import json
import os
import pytz
headers = {
"Access-Control-Allow-Origin": "*",
"Content-Type": "application/json; charset=utf-8",
}
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"),
)
conn.autocommit = True
conn.set_session(readonly=True)
def set_coarse_location(train):
now = datetime.now(pytz.utc)
train_evas = None
stopovers = train["previousStopovers"]
for i, stopover in enumerate(stopovers):
if stopover["departure"]:
stopover["departure"] = dateutil.parser.parse(stopover["departure"])
# start with origin. (planned)arrival is always null in a previousStopovers list
departure = stopover["departure"]
if i > 0 and departure and departure > now:
train_evas = (
int(stopovers[i - 1]["stop"]["id"]),
int(stopover["stop"]["id"]),
)
train_stops = (stopovers[i - 1]["stop"]["name"], stopover["stop"]["name"])
train_coords = (
(
stopovers[i - 1]["stop"]["location"]["latitude"],
stopovers[i - 1]["stop"]["location"]["longitude"],
),
(
stopover["stop"]["location"]["latitude"],
stopover["stop"]["location"]["longitude"],
),
)
train_times = (stopovers[i - 1]["departure"], departure)
break
if not train_evas:
train_evas = (int(train["stop"]["id"]), int(stopovers[-1]["stop"]["id"]))
train_stops = (train["stop"]["name"], stopovers[-1]["stop"]["name"])
train_coords = (
(
stopovers[-1]["stop"]["location"]["latitude"],
stopovers[-1]["stop"]["location"]["longitude"],
),
(
train["stop"]["location"]["latitude"],
train["stop"]["location"]["longitude"],
),
)
train_times = (stopovers[-1]["departure"], dateutil.parser.parse(train["when"]))
if not train_times[0]:
return
train["evas"] = train_evas
train["stop_names"] = train_stops
train["coords"] = train_coords
train["times"] = train_times
train["progress_ratio"] = 1 - (
(train["times"][1].timestamp() - now.timestamp())
/ (train["times"][1].timestamp() - train["times"][0].timestamp())
)
train["progress_ratio"] = max(0, min(1, train["progress_ratio"]))
if train["progress_ratio"] == 0:
train["location"] = train["coarse_location"] = train["coords"][0]
elif train["progress_ratio"] == 1:
train["location"] = train["coarse_location"] = train["coords"][1]
else:
ratio = train["progress_ratio"]
coords = train["coords"]
train["coarse_location"] = (
coords[1][0] * ratio + coords[0][0] * (1 - ratio),
coords[1][1] * ratio + coords[0][1] * (1 - ratio),
)
def calculate_distance(train, latlon):
train["distance"] = distance(train["coarse_location"], latlon).km
def format_train(train):
train_type, line_no = train["line"]["name"].split()
train_no = train["line"]["fahrtNr"]
return {
"line": f"{train_type} {line_no}",
"train": f"{train_type} {train_no}",
"tripId": train["tripId"],
"location": train["coarse_location"],
"distance": round(train["distance"], 1),
"stops": [
(
train["evas"][0],
train["stop_names"][0],
train["times"][0].strftime("%H:%M"),
),
(
train["evas"][1],
train["stop_names"][1],
train["times"][1].strftime("%H:%M"),
),
],
}
async def handle_search(request):
try:
lat = float(request.query.get("lat"))
lon = float(request.query.get("lon"))
except TypeError:
return web.HTTPBadRequest(text="lat/lon are mandatory")
except ValueError:
return web.HTTPBadRequest(text="lat/lon must be floating-point numbers")
lut_lat = round(lat * 1000)
lut_lon = round(lon * 1000)
evas = set()
with conn.cursor() as cur:
cur.execute(
"select stations from stations where lat between %s and %s and lon between %s and %s",
(lut_lat - 3, lut_lat + 3, lut_lon - 3, lut_lon + 3),
)
for eva_list in cur.fetchall():
evas.update(eva_list[0])
if not evas:
response = {"evas": list(), "trains": list()}
return web.Response(body=json.dumps(response), headers=headers)
arrivals = list()
trains = list()
# deliberately not parallelized to minimize load on transport.rest
for eva in evas:
async with aiohttp.ClientSession() as session:
async with session.get(
f"https://v5.db.transport.rest/stops/{eva}/arrivals?results=40&duration=120&stopovers=true&bus=false&subway=false&tram=false"
) as response:
content = await response.text()
content = json.loads(content)
arrivals.append(content)
for train_list in arrivals:
for train in train_list:
is_candidate = False
for stop in train["previousStopovers"]:
if (
int(stop["stop"]["id"]) in evas
and stop["stop"]["id"] != train["stop"]["id"]
):
is_candidate = True
break
if is_candidate:
trains.append(train)
seen = set()
trains = [
seen.add(train["line"]["fahrtNr"]) or train
for train in trains
if train["line"]["fahrtNr"] not in seen
]
for train in trains:
set_coarse_location(train)
trains = list(filter(lambda train: "coarse_location" in train, trains))
for train in trains:
calculate_distance(train, (lat, lon))
trains = sorted(trains, key=lambda train: train["distance"])
trains = list(map(format_train, trains[:10]))
response = {"evas": list(evas), "trains": trains}
return web.Response(body=json.dumps(response, ensure_ascii=False), headers=headers)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="geolocation to train estimation service"
)
parser.add_argument("--port", type=int, metavar="PORT", default=8080)
parser.add_argument("--prefix", type=str, metavar="PATH", default="/")
args = parser.parse_args()
app = web.Application()
app.add_routes([web.get(f"{args.prefix}search", handle_search)])
web.run_app(app, host="localhost", port=args.port)
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