analysis.properties

# When offline is true, authentication and other services are not used.
# This is only partially true - regional results will still be saved on S3.
offline=true
immediate-shutdown=false

# Auth0 authentication configuration. The values will be ignored when configuration option offline=true.
auth0-client-id=X
auth0-domain=auth.domain.com
auth0-secret=Y

# Access group for administrators
admin-access-group=OFFLINE

# The host and port of the Mongo server.
database-uri=mongodb://127.0.0.1:27017

# The name of the database in the Mongo instance.
database-name=analysis

# S3 buckets where Analysis inputs and results are stored. Buckets are used as folder names in offline mode
bundle-bucket=analysis-staging-bundles
grid-bucket=analysis-staging-grids
results-bucket=analysis-staging-results
resources-bucket=analysis-resources

# The S3 bucket where we can find tiles of the entire US census, built with Conveyal seamless-census.
seamless-census-bucket=lodes-data-2014
seamless-census-region=us-east-1

# The AWS region in which the server is running, and in which you want to run worker machines.
aws-region=eu-west-1

# The port on which the server will listen for connections from clients and workers.
server-port=7070

# A temporary location to store scratch files. The path can be absolute or relative.
# This allows you to locate temporary storage on an extra drive in case your main drive does not have enough space.
# local-cache=/home/ec2-user/cache
local-cache=cache

# Java threads for lighter async operations
light-threads=3

# Java threads for heavy operations
heavy-threads=3

# Max number of instances to start.
# If there are more than this number running more instances will not be started.
# This limit doesn't work very well because if you've manually started 200 workers on one graph,
# the broker then won't start more workers for a completely different job.
max-workers=8

# IAM role to assign the worker instances. Currently this is the same role assigned to the backend/broker.
# This is the IAM role whose policy is defined in iam.yml (and is recursively referenced therein).
worker-iam-role=arn:aws:iam::abcdef123456

# Type of EC2 instance to start up, in the standard AWS format containing a dot as listed on
# https://aws.amazon.com/ec2/instance-types/
worker-type=r5.xlarge

# The AWS Cloudwatch log group for worker EC2 instances.
# Each worker creates its own log stream within this log group at startup.
worker-log-group=123456abcdef

# The port on which the workers will listen for high priority pushed tasks.
# This should be different from the server-port if you want to run a worker on the same machine as the server.
worker-port=7080

# The ID of the AWS VPC subnet where EC2 worker instances will run.
# Currently this is the same subnet where the backend and broker run.
# The CIDR mask of this subnet naturally limits the number of workers, providing
# some level of protection against high EC2 bills should workers accidentally proliferate.
worker-subnet-id=subnet-123456abcdef

# The ID of the EC2 machine image for the workers. We use a stock Amazon Linux instance and perform additional
#installation and configuration on startup using a user-data script.
worker-ami-id=ami-e5083683