# https://cloud.google.com/appengine/docs/flexible/reference/app-yaml?tab=python
#
# gcloud -q app deploy --project bridgy-federated router.yaml

# application: bridgy-federated

service: router
env: flex
runtime: python
runtime_config:
    operating_system: ubuntu22
    runtime_version: "3.12"

resources:
  cpu: 1
  memory_gb: 1.6

# run in default VPC for this project
# https://cloud.google.com/appengine/docs/flexible/using-shared-vpc
# https://cloud.google.com/appengine/docs/flexible/reference/app-yaml#network_settings
# https://cloud.google.com/vpc/docs/serverless-vpc-access#supported_services
network:
  name: projects/bridgy-federated/global/networks/default

env_variables:
  PDS_HOST: atproto.brid.gy
  PLC_HOST: plc.directory
  APPVIEW_HOST: api.bsky.app
  BGS_HOST: bsky.network
  MOD_SERVICE_HOST: mod.bsky.app
  MOD_SERVICE_DID: did:plc:ar7c4by46qjdydhdevvrndac
  # https://bsky.app/profile/gargaj.umlaut.hu/post/3kxsvpqiuln26
  CHAT_HOST: api.bsky.chat
  CHAT_DID: did:web:api.bsky.chat
  MEMCACHE_HOST: '10.126.144.3'

  # https://github.com/googleapis/python-ndb/blob/c55ec62b5153787404488b046c4bf6ffa02fee64/google/cloud/ndb/utils.py#L78-L81
  # NDB_DEBUG: true

automatic_scaling:
  min_num_instances: 1
  max_num_instances: 10
  cpu_utilization:
    target_utilization: 0.95
  # tried this in an attempt to cut down instance count, but it backfired
  # somehow and kept us at the max of 10 instances
  # target_concurrent_requests: 20

liveness_check:
  # default 300; does lowering this speed up deploy? seems like maybe, a bit?
  # https://cloud.google.com/appengine/docs/flexible/reference/app-yaml?tab=python#liveness_checks
  initial_delay_sec: 30

# https://cloud.google.com/appengine/docs/flexible/python/runtime#application_startup
# https://docs.gunicorn.org/en/latest/settings.html
# TODO: try asyncio w/eventlet workers
entrypoint: gunicorn --workers 1 --threads 20 -b :$PORT router:app