.env

#
# General
# =======
#

NAME=journey-planner
BUILD_NAME=build

# The following 4 variables define a rectangular geographical area.
# That bounding box is used to crop the OSM region which results in a
# - smaller background map
# - smaller geocoder database
# - smaller navigation graph
# - smaller map overlays
#
# The given coordinates surround all public transport stops of the VGN,
# a German transport association.
#
# They were generated from the GTFS feed with a python script.
# We will add that script to this project in the future.
#
# Until then, the values can be determined e.g. by using
#   https://boundingbox.klokantech.com/
# Select the desired area on the map and then click on "Copy & Paste CSV".
MIN_LON=10.011636032586688
MAX_LON=12.223993889052613
MIN_LAT=48.70792025947608
MAX_LAT=50.25793688217101

# Based on this value, Digitransit UI limits how far users can zoom out of the map.
# We suggest using a value that when zoomed out to this level,
# the whole area coverd by the public transit source is visible.
#
# For larger regions, use a smaller value to allow zooming further out of the map.
#
# To get a feel for the effect of this value, you can open osm.org.
# The third last value separated `/` is the zoom level:
#   https://www.openstreetmap.org/#map=8/49.443/11.096
MIN_ZOOM=8

# Used to
# - determine the correct times of time-restricted entities in the OSM dataset by OpenTripPlanner
# - display correct time in Digitransit-UI
TIMEZONE=Europe/Berlin

# URL to GTFS .zip file.
# Alternatively, path to local .zip file relative to ./gtfs-data directory.
#
# The example URL points to the GTFS dataset of the VGN.
GTFS_URL=https://www.vgn.de/opendata/GTFS.zip
#GTFS_URL=gtfs.zip
GTFS_CREDITS='[{"license":"Creative Commons Namensnennung 3.0 (CC BY 3.0 DE)","text":"Public transit timetable data by VGN – Verkehrsverbund Großraum Nürnberg GmbH. https://vgn.de"}]'

# If your GTFS dataset does not contain the bikes_allowed column (or if it has the column but with many undefined values),
# you can add it with its values set to `true`.
# To do this, set at least one parameter below.
#
# Otherwise, leave it empty (`GTFS_MODIFICATION_PARAM=`).
#
# For details, which parameters are possible, see
# https://github.com/langbein-daniel/gtfs-modifications#usage
GTFS_MODIFICATION_PARAM='--bikes-allowed True --escape-double-quotes routes.txt'

# Set this to `GTFS_FILTER=true`, to filter the GTFS file by bounding box.
# Leave the variable empty (`GTFS_FILTER=`) to disable.
GTFS_FILTER=

# URL to .osm.pbf region from geofabrik.de server.
# Alternatively, path to local .osm.pbf file relative to ./osm-excerpt directory.
#
# Please pick a region that covers your bounding box.
#
# The Germany OSM extract covers (almost) the complete bounding box of the VGN.
OSM_PBF_URL=https://download.geofabrik.de/europe/germany-latest.osm.pbf
#OSM_PBF_URL=region.osm.pbf

# If the built Docker images shall be published
# to a Docker container registry,
# then adjust the following two values.
#
# URL to user of a Docker container registry
DOCKER_REGISTRY_URL=docker.io/biketripplanner/
# The images of the individual services are tagged with
#   ${DOCKER_REGISTRY_URL}${SERVICE}:${DOCKER_IMAGE_TAG}
# and
#   ${DOCKER_REGISTRY_URL}${SERVICE}:${DOCKER_IMAGE_TAG}-${DATE}
#
# Use e.g. the name of the area you configured
# via the bounding box or the (main) transport
# association from the GTFS dataset.
#
# By tagging the images like this you can easily switch between
# multiple published areas or transport associations.
#
# In our example this transport association is abbreviated with VGN.
DOCKER_IMAGE_TAG=VGN

#
# Healthcheck
# ===========
#
# The values in this section are used by the container healthchecks.
# We use them to (I) detect if the services are running and (II)
# test if they use the correct data sources.
#
# For the latter we need to provide some information that is
# specific to the configured area and transport association.
#

# Name of one agency of the GTFS dataset.
# As in gtfs.zip > agency.txt > agency_name.
HEALTHCHECK_OPENTRIPPLANNER=VGN

# We imported GTFS data into two custom layers, stop and station.
# If these layers don't exist, something is wrong!
# To check this, we use the following healthcheck:
HEALTHCHECK_API_REQUEST=localhost:4000/v1/search?text=N%C3%BCrnberg&lang=en&layers=stop,station
# Name of one station from the GTFS dataset.
# As in gtfs.zip > stops.txt > stop_name.
HEALTHCHECK_API_RESPONSE='"name":"Nürnberg Hbf"'

# An address inside the OSM data and bounding box.
HEALTHCHECK_LIBPOSTAL_REQUEST=localhost:4400/parse?address=Bahnhofsplatz%209,%2090443%20N%C3%BCrnberg,%20Germany
# A parsed part of the above address.
HEALTHCHECK_LIBPOSTAL_RESPONSE='"label":"city","value":"nürnberg"'

# For this service there are multiple possible healthcheck URLs:
#   http://localhost:4100/parser/search?text=n%C3%BCrnberg
#   http://localhost:4100/parser/findbyid?ids=101905935
#   http://localhost:4100/parser/query?text=n%C3%BCrnberg
#   http://localhost:4100/parser/tokenize?text=n%C3%BCrnberg
#   http://localhost:4100/parser/search?text=nürnberg&lang=rus
# One of them is enough.
#
# E.g. name of a city.
HEALTHCHECK_PLACEHOLDER_REQUEST=localhost:4100/parser/search?text=n%C3%BCrnberg
HEALTHCHECK_PLACEHOLDER_RESPONSE='"name":"Nürnberg"'

# Coordinates and a nearby address.
HEALTHCHECK_INTERPOLATION_REQUEST=localhost:4300/search/geojson?lat=49.44627&lon=11.08221&number=9&street=bahnhofsplatz
HEALTHCHECK_INTERPOLATION_RESPONSE='"type":"exact"'

# Coordinate (LON/LAT).
HEALTHCHECK_PIP_REQUEST=localhost:4200/11.08245/49.44511
# A locality/city/country containing the above coordinate.
HEALTHCHECK_PIP_RESPONSE=Nürnberg

#
# Tileserver GL
# =============
#
# No need to change these values.
#

# URL to map style git repository. Alternativey: Name of directory located inside ./tileserver-gl.
MAP_STYLE_URL=https://github.com/langbein-daniel/cyclo-bright-gl-style.git

#
# OpenTripPlanner
# ===============
#
# You may need to increase these values
# depending on the size of your bounding box
# and GTFS data.
#

OTP_OSM_TAGS='nwar/amenity=bicycle_parking nwar/highway nwar/public_transport=platform nwar/railway=platform nwar/park_ride=yes nwar/type=restriction nwar/type=route'

# Used during build.
JAVA_BUILD_OPTS=-Xmx10G
# Used during runtime.
# build-config.json vs build-config-lightweigt.json:
# - docker stats:
#   - 5.1 GB RAM
#   - 4.4 GB RAM
# - Docker image size:
#   - 1.2 GB
#   - 0.85 GB
JAVA_OPTS=-Xmx8G

#
# Pelias
# ======
#

# Two-digit country code of the country surrounding the bounding box.
# Leave empty (`COUNTRY_CODE=`) if your area intersects multiple countries.
# For details, see ./pelias/README.md section "Country code".
COUNTRY_CODE=DE
# One or more Who's On First IDs of geographical areas,
# e.g. the country surrounding your bounding box.
# Can be left empty (`WOF_IDS=`) if a COUNTRY_CODE is given.
# For details, see ./pelias/README.md section "Identifiers".
#
# It would be possible to limit the Who's On First data region
# to a smaller part of Germany covering the area of the VGN.
# We could e.g. use the IDs of the administrative regions ("neighborhoods")
# Upper Franconia (404227583), Middle Franconia (404227565), etc.
# But we would then also need to make sure that we don't miss
# some parts of the area.
# Therefore, we rather import whole Germany.
WOF_IDS=
# Germany
# WOF_IDS=["85633111"]
# Germany and Austria
# WOF_IDS=["85633111","85632785"]

PELIAS_BUILD_DIR=./pelias

#
# Digitransit-UI
# ==============
#

# JSON array.
DATA_SOURCES_PARAGRAPHS='["Map data from OpenStreetMap. This includes, among others, roads, bicycle and car parking, addresses, public transit stops and public transit routes. <a href=\"https://osm.org/copyright\">https://osm.org/copyright</a>","Public transit timetable data by VGN – Verkehrsverbund Großraum Nürnberg GmbH. <a href=\"https://vgn.de\">https://vgn.de</a>","Produced using Copernicus data and information funded by the European Union - EU-DEM layers."]'

# In milliseconds.
OTP_TIMEOUT=30000

#
# Docker image versions
# =====================
#
# No need to change these values.
#

# Git repositories that contain a Dockerfile.
# Alternatively: Local path to folder containing a Dockerfile.
DOCKERFILE_TILEMAKER=github.com/systemed/tilemaker
DOCKERFILE_GTFS_MODIFICATIONS=github.com/langbein-daniel/gtfs-modifications#main
DOCKERFILE_DEM_DATA=github.com/langbein-daniel/dem-download#main
DOCKERFILE_DIGITRANSIT_UI=github.com/langbein-daniel/digitransit-ui#v3-btp

# URLs to Git repositories that contain a Dockerfile.
DOCKERFILE_PELIAS_GTFS=https://github.com/HSLdevcom/pelias-gtfs

# Docker image tags.
IMAGE_ALPINE=registry.ipv6.docker.com/library/alpine
IMAGE_DEBIAN=registry.ipv6.docker.com/library/debian:stable-slim
IMAGE_GO=registry.ipv6.docker.com/library/golang
IMAGE_R_BASE=registry.ipv6.docker.com/library/r-base
IMAGE_TILESERVER_GL=registry.ipv6.docker.com/maptiler/tileserver-gl
IMAGE_OPENTRIPPLANNER=registry.ipv6.docker.com/opentripplanner/opentripplanner
IMAGE_PELIAS_BASE=registry.ipv6.docker.com/pelias/baseimage:master
IMAGE_PELIAS_OPENSTREETMAP=registry.ipv6.docker.com/pelias/openstreetmap:master
IMAGE_PELIAS_POLYLINES=registry.ipv6.docker.com/pelias/polylines:master
IMAGE_PELIAS_WHOSONFIRST=registry.ipv6.docker.com/pelias/whosonfirst:master
IMAGE_PELIAS_SCHEMA=registry.ipv6.docker.com/pelias/schema:master
IMAGE_PELIAS_LIBPOSTAL=registry.ipv6.docker.com/pelias/libpostal-service
IMAGE_PELIAS_API=registry.ipv6.docker.com/pelias/api:master
IMAGE_PELIAS_PLACEHOLDER=registry.ipv6.docker.com/pelias/placeholder:master
IMAGE_PELIAS_INTERPOLATION=registry.ipv6.docker.com/pelias/interpolation:master
IMAGE_PELIAS_PIP=registry.ipv6.docker.com/pelias/pip-service:master
IMAGE_PELIAS_ELASTICSEARCH=registry.ipv6.docker.com/pelias/elasticsearch:7.16.1