kopia lustrzana https://github.com/snarfed/bridgy-fed
55 wiersze
1.8 KiB
YAML
55 wiersze
1.8 KiB
YAML
# https://cloud.google.com/appengine/docs/flexible/reference/app-yaml?tab=python
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#
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# gcloud -q app deploy --project bridgy-federated hub.yaml
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# application: bridgy-federated
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service: atproto-hub
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env: flex
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runtime: python
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runtime_config:
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operating_system: ubuntu22
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runtime_version: "3.12"
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resources:
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cpu: 1
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# steady state memory usage is only .5-1G, but spikes when we're working
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# through a backlog of commits
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# https://github.com/snarfed/bridgy-fed/issues/1266#issuecomment-2321863960
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memory_gb: 6.0
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# can't be internal because Bluesky relay(s) need to be able to connect to us
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# over websocket for subscribeRepos
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network:
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instance_ip_mode: external
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env_variables:
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PDS_HOST: atproto.brid.gy
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PLC_HOST: plc.directory
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APPVIEW_HOST: api.bsky.app
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BGS_HOST: bsky.network
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MOD_SERVICE_HOST: mod.bsky.app
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MOD_SERVICE_DID: did:plc:ar7c4by46qjdydhdevvrndac
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# ...or test against labeler.dholms.xyz / did:plc:vzxheqfwpbi3lxbgdh22js66
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MEMCACHE_HOST: '10.126.144.3'
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ROLLBACK_WINDOW: 200000
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SUBSCRIBE_REPOS_BATCH_DELAY: 10
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# https://github.com/googleapis/python-ndb/blob/c55ec62b5153787404488b046c4bf6ffa02fee64/google/cloud/ndb/utils.py#L78-L81
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# NDB_DEBUG: true
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# need only one instance so that new commits can be delivered to subscribeRepos
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# subscribers in memory
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manual_scaling:
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instances: 1
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liveness_check:
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# default 300; does lowering this speed up deploy? seems like maybe, a bit?
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# https://cloud.google.com/appengine/docs/flexible/reference/app-yaml?tab=python#liveness_checks
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initial_delay_sec: 30
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# https://cloud.google.com/appengine/docs/flexible/python/runtime#application_startup
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# https://docs.gunicorn.org/en/latest/settings.html#timeout
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# TODO: try asyncio w/eventlet workers
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entrypoint: gunicorn --workers 1 --threads 25 -b :$PORT atproto_hub:app
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