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Capistrano deployment #60

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15 changes: 15 additions & 0 deletions Capfile
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# frozen_string_literal: true
# Load DSL and set up stages
require 'capistrano/setup'

# Include default deployment tasks
require 'capistrano/deploy'
require 'capistrano/scm/git'
install_plugin Capistrano::SCM::Git

require 'capistrano/maintenance'

require 'dlss/docker/capistrano'

# Load custom tasks from `lib/capistrano/tasks` if you have any defined
Dir.glob('lib/capistrano/tasks/*.rake').each { |r| import r }
8 changes: 8 additions & 0 deletions Gemfile
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# frozen_string_literal: true

source 'https://rubygems.org'

gem 'capistrano'
gem 'capistrano-maintenance', '~> 1.2', require: false
gem 'dlss-capistrano-docker', require: false
gem 'rake'
63 changes: 63 additions & 0 deletions Gemfile.lock
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GEM
remote: https://rubygems.org/
specs:
airbrussh (1.5.2)
sshkit (>= 1.6.1, != 1.7.0)
base64 (0.2.0)
bcrypt_pbkdf (1.1.1)
bcrypt_pbkdf (1.1.1-arm64-darwin)
bundler-audit (0.9.1)
bundler (>= 1.2.0, < 3)
thor (~> 1.0)
capistrano (3.19.0)
airbrussh (>= 1.0.0)
i18n
rake (>= 10.0.0)
sshkit (>= 1.9.0)
capistrano-bundle_audit (0.4.0)
bundler-audit (~> 0.5)
capistrano (~> 3.0)
capistrano-bundler (>= 1.4)
capistrano-bundler (2.1.0)
capistrano (~> 3.1)
capistrano-maintenance (1.2.1)
capistrano (>= 3.0)
capistrano-one_time_key (0.2.0)
capistrano (~> 3.0)
capistrano-shared_configs (0.2.2)
concurrent-ruby (1.3.3)
dlss-capistrano-docker (1.1.1)
bcrypt_pbkdf
capistrano (~> 3.0)
capistrano-bundle_audit (>= 0.3.0)
capistrano-one_time_key
capistrano-shared_configs
ed25519
ed25519 (1.3.0)
i18n (1.14.5)
concurrent-ruby (~> 1.0)
net-scp (4.0.0)
net-ssh (>= 2.6.5, < 8.0.0)
net-sftp (4.0.0)
net-ssh (>= 5.0.0, < 8.0.0)
net-ssh (7.2.3)
rake (13.2.1)
sshkit (1.23.0)
base64
net-scp (>= 1.1.2)
net-sftp (>= 2.1.2)
net-ssh (>= 2.8.0)
thor (1.3.1)

PLATFORMS
arm64-darwin-23
ruby

DEPENDENCIES
capistrano
capistrano-maintenance (~> 1.2)
dlss-capistrano-docker
rake

BUNDLED WITH
2.5.14
10 changes: 10 additions & 0 deletions README.md
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Expand Up @@ -120,3 +120,13 @@ pytest
1. Run linting: `ruff check`
2. Automatically fix linting: `ruff check --fix`
3. Run formatting: `ruff format` (or `ruff format --check` to identify any unformatted files)

## Deployment

Deployment to https://sul-rialto-airflow-dev.stanford.edu/ is handled like other SDR services using Capistrano. You'll need to have Ruby installed and then:

```
gem install bundler
bundle install
bundle exec cap dev deploy
```
55 changes: 55 additions & 0 deletions config/deploy.rb
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# frozen_string_literal: true

set :application, 'rialto-airflow'
set :repo_url, 'https://github.com/sul-dlss-labs/rialto-airflow.git'

# Default branch is :master
ask :branch, `git rev-parse --abbrev-ref HEAD`.chomp

# Default deploy_to directory is /var/www/my_app_name
set :deploy_to, "/opt/app/rialto/#{fetch(:application)}"

# Default value for :format is :airbrussh.
# set :format, :airbrussh

# You can configure the Airbrussh format using :format_options.
# These are the defaults.
# set :format_options, command_output: true, log_file: "log/capistrano.log", color: :auto, truncate: :auto

# Default value for :log_level is :debug
set :log_level, :info

# Default value for :pty is false
# set :pty, true

# Only using capistrano for docker compose based deployment of a python app, these aren't currentl used.
# set :linked_files, %w[config/honeybadger.yml]
# set :linked_dirs, %w[log config/settings public/system]
# set :dereference_dirs, %w[config/settings]

# Default value for default_env is {}
# set :default_env, { path: "/opt/ruby/bin:$PATH" }

# Default value for local_user is ENV['USER']
# set :local_user, -> { `git config user.name`.chomp }

# Default value for keep_releases is 5
# set :keep_releases, 5

# Uncomment the following to require manually verifying the host key before first deploy.
# set :ssh_options, verify_host_key: :secure

# honeybadger_env otherwise defaults to rails_env
set :honeybadger_env, fetch(:stage)

# Set Rails env to production in all Cap environments
set :rails_env, 'production'

set :docker_compose_file, 'docker-compose.prod.yaml'
set :docker_compose_migrate_use_hooks, false
set :docker_compose_seed_use_hooks, false
set :docker_compose_rabbitmq_use_hooks, false
set :docker_compose_build_use_hooks, false
set :docker_compose_restart_use_hooks, true
set :docker_compose_copy_assets_use_hooks, false
set :honeybadger_use_hooks, false
7 changes: 7 additions & 0 deletions config/deploy/dev.rb
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# frozen_string_literal: true

# Roles are passed to docker-compose as profiles.
server 'sul-rialto-airflow-dev.stanford.edu', user: 'rialto', roles: %w[app]

Capistrano::OneTimeKey.generate_one_time_key!

231 changes: 231 additions & 0 deletions docker-compose.prod.yaml
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#

# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL.
#
# WARNING: This configuration is for local development. Do not use it in a production deployment.
#
# This configuration supports basic configuration using environment variables or an .env file
# The following variables are supported:
#
# AIRFLOW_IMAGE_NAME - Docker image name used to run Airflow.
# Default: apache/airflow:2.9.2
# AIRFLOW_UID - User ID in Airflow containers
# Default: 50000
# AIRFLOW_PROJ_DIR - Base path to which all the files will be volumed.
# Default: .
# Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode
#
# _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account (if requested).
# Default: airflow
# _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account (if requested).
# Default: airflow
# _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers.
# Use this option ONLY for quick checks. Installing requirements at container
# startup is done EVERY TIME the service is started.
# A better way is to build a custom image or extend the official image
# as described in https://airflow.apache.org/docs/docker-stack/build.html.
# Default: ''
#
# Feel free to modify this file to suit your needs.
---
x-airflow-common:
&airflow-common
# In order to add custom dependencies or upgrade provider packages you can use your extended image.
# Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml
# and uncomment the "build" line below, Then run `docker-compose build` to build the images.
#image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.9.2}
build: .
environment:
&airflow-common-env
AIRFLOW_UID: 503
AIRFLOW_GID: 0
AIRFLOW__CORE__EXECUTOR: CeleryExecutor
AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: "postgresql+psycopg2://${DATABASE_USERNAME}:${DATABASE_PASSWORD}@${DATABASE_HOSTNAME}/rialto-airflow"
AIRFLOW__CELERY__RESULT_BACKEND: "db+postgresql://${DATABASE_USERNAME}:${DATABASE_PASSWORD}@${DATABASE_HOSTNAME}/rialto-airflow"
AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
AIRFLOW__CORE__FERNET_KEY: ''
AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
AIRFLOW__CORE__DAGS_FOLDER: '/opt/airflow/rialto_airflow/dags'
AIRFLOW__CORE__PLUGINS_FOLDER: '/opt/airflow/rialto_airflow/plugins'
AIRFLOW__API__AUTH_BACKENDS: 'airflow.api.auth.backend.basic_auth'
AIRFLOW__SMTP__SMTP_USER: ${AIRFLOW__SMTP__SMTP_USER}
AIRFLOW__SMTP__SMTP_HOST: ${AIRFLOW__SMTP__SMTP_HOST}
AIRFLOW__SMTP__SMTP_PASSWORD: ''
AIRFLOW__SMTP__SMTP_MAIL_FROM: ${AIRFLOW__SMTP__SMTP_MAIL_FROM}
AIRFLOW__WEBSERVER__SECRET_KEY: ${AIRFLOW__WEBSERVER__SECRET_KEY}
# yamllint disable rule:line-length
# Use simple http server on scheduler for health checks
# See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server
# yamllint enable rule:line-length
AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true'
# WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks
# for other purpose (development, test and especially production usage) build/extend Airflow image.
_PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
# The following line can be used to set a custom config file, stored in the local config folder
# If you want to use it, outcomment it and replace airflow.cfg with the name of your config file
# AIRFLOW_CONFIG: '/opt/airflow/config/airflow.cfg'
AIRFLOW_VAR_DIMENSIONS_API_USER: ${AIRFLOW_VAR_DIMENSIONS_API_USER}
AIRFLOW_VAR_DIMENSIONS_API_PASS: ${AIRFLOW_VAR_DIMENSIONS_API_PASS}
AIRFLOW_VAR_SUL_PUB_HOST: ${AIRFLOW_VAR_SUL_PUB_HOST}
AIRFLOW_VAR_SUL_PUB_KEY: ${AIRFLOW_VAR_SUL_PUB_KEY}
AIRFLOW_VAR_DATA_DIR: /opt/airflow/data
volumes:
- /opt/app/rialto/rialto-airflow/current/rialto_airflow:/opt/airflow/rialto_airflow
- /data:/opt/airflow/data
- /opt/app/rialto/rialto-airflow/shared/logs:/opt/airflow/logs
user: "503:0"
depends_on:
&airflow-common-depends-on
redis:
condition: service_healthy

services:
redis:
# Redis is limited to 7.2-bookworm due to licencing change
# https://redis.io/blog/redis-adopts-dual-source-available-licensing/
image: redis:7.2-bookworm
expose:
- 6379
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 30s
retries: 50
start_period: 30s
restart: always

airflow-webserver:
<<: *airflow-common
command: webserver
ports:
- "3000:8080"
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
interval: 30s
timeout: 10s
retries: 5
start_period: 30s
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully

airflow-scheduler:
<<: *airflow-common
command: scheduler
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:8974/health"]
interval: 30s
timeout: 10s
retries: 5
start_period: 30s
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully

airflow-worker:
<<: *airflow-common
command: celery worker
healthcheck:
# yamllint disable rule:line-length
test:
- "CMD-SHELL"
- 'celery --app airflow.providers.celery.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}" || celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
interval: 30s
timeout: 10s
retries: 5
start_period: 30s
environment:
<<: *airflow-common-env
# Required to handle warm shutdown of the celery workers properly
# See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation
DUMB_INIT_SETSID: "0"
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully

airflow-triggerer:
<<: *airflow-common
command: triggerer
healthcheck:
test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"']
interval: 30s
timeout: 10s
retries: 5
start_period: 30s
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully

airflow-init:
<<: *airflow-common
entrypoint: /bin/bash
environment:
<<: *airflow-common-env
_AIRFLOW_DB_MIGRATE: 'true'
_AIRFLOW_WWW_USER_CREATE: 'true'
_AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
_AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
command:
- -c
- exec /entrypoint airflow version


airflow-cli:
<<: *airflow-common
profiles:
- debug
environment:
<<: *airflow-common-env
CONNECTION_CHECK_MAX_COUNT: "0"
# Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
command:
- bash
- -c
- airflow

# You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up
# or by explicitly targeted on the command line e.g. docker-compose up flower.
# See: https://docs.docker.com/compose/profiles/
flower:
<<: *airflow-common
command: celery flower
profiles:
- flower
ports:
- "5555:5555"
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:5555/"]
interval: 30s
timeout: 10s
retries: 5
start_period: 30s
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully
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