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docker-compose.yaml
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docker-compose.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:master-python3.8
# AIRFLOW_UID - User ID in Airflow containers
# Default: 50000
# AIRFLOW_GID - Group ID in Airflow containers
# Default: 50000
# _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account.
# Default: airflow
# _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account.
# Default: airflow
#
# Feel free to modify this file to suit your needs.
---
version: '3.8'
x-airflow-common:
&airflow-common
build: .
environment:
&airflow-common-env
AIRFLOW__CORE__EXECUTOR: CeleryExecutor
AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/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/gcs/dags
AIRFLOW__CORE__BASE_LOG_FOLDER: /opt/airflow/gcs/logs
AIRFLOW__CORE__PLUGINS_FOLDER: /opt/airflow/gcs/plugins
AIRFLOW__WEBSERVER__RELOAD_ON_PLUGIN_CHANGE: 'true'
# this option prevents a DAG from trying to run all dagruns back to its
# start date. this lets you it spin up docker, unpause a dag, and just
# get the latest run. Or pause a DAG for a long time, and not have it
# try to run on a million dates when unpaused.
AIRFLOW__SCHEDULER__CATCHUP_BY_DEFAULT: 'false'
CALITP_BQ_MAX_BYTES: 10000000000
CALITP_SLACK_URL: ${CALITP_SLACK_URL}
# connections - required to allow local testing of pod operators
# see https://stackoverflow.com/a/55064944/1144523
AIRFLOW_CONN_GOOGLE_CLOUD_DEFAULT: "google-cloud-platform://:@:?extra__google_cloud_platform__project=cal-itp-data-infra"
# bucket for holding results of extraction tasks
AIRFLOW_VAR_EXTRACT_BUCKET: "gs://gtfs-data-test"
# Corresponds to GCP_PROJECT on composer, but gauth looks for this name.
# see https://googleapis.dev/python/google-auth/latest/user-guide.html#using-external-identities
GOOGLE_CLOUD_PROJECT: cal-itp-data-infra
CALITP_BUCKET__AGGREGATOR_SCRAPER: "gs://test-calitp-aggregator-scraper"
CALITP_BUCKET__AIRTABLE: "gs://test-calitp-airtable"
CALITP_BUCKET__AMPLITUDE_BENEFITS_EVENTS: "gs://test-calitp-amplitude-benefits-events"
CALITP_BUCKET__DBT_ARTIFACTS: "gs://test-calitp-dbt-artifacts"
CALITP_BUCKET__ELAVON_RAW: "gs://test-calitp-elavon-raw"
CALITP_BUCKET__ELAVON_PARSED: "gs://test-calitp-elavon-parsed"
CALITP_BUCKET__GTFS_DOWNLOAD_CONFIG: "gs://test-calitp-gtfs-download-config"
CALITP_BUCKET__GTFS_DOWNLOAD_CONFIG_PROD_SOURCE: "gs://calitp-gtfs-download-config"
CALITP_BUCKET__GTFS_DOWNLOAD_CONFIG_TEST_DESTINATION: "gs://test-calitp-gtfs-download-config"
CALITP_BUCKET__GTFS_RT_RAW: "gs://test-calitp-gtfs-rt-raw-v2"
CALITP_BUCKET__GTFS_RT_PARSED: "gs://test-calitp-gtfs-rt-parsed"
CALITP_BUCKET__GTFS_RT_VALIDATION: "gs://test-calitp-gtfs-rt-validation"
CALITP_BUCKET__GTFS_SCHEDULE_RAW: "gs://test-calitp-gtfs-schedule-raw-v2"
CALITP_BUCKET__GTFS_SCHEDULE_VALIDATION: "gs://test-calitp-gtfs-schedule-validation"
CALITP_BUCKET__GTFS_SCHEDULE_UNZIPPED: "gs://test-calitp-gtfs-schedule-unzipped"
CALITP_BUCKET__GTFS_SCHEDULE_PARSED: "gs://test-calitp-gtfs-schedule-parsed"
CALITP_BUCKET__GTFS_SCHEDULE_VALIDATION_HOURLY: "gs://test-calitp-gtfs-schedule-validation-hourly"
CALITP_BUCKET__GTFS_SCHEDULE_UNZIPPED_HOURLY: "gs://test-calitp-gtfs-schedule-unzipped-hourly"
CALITP_BUCKET__GTFS_SCHEDULE_PARSED_HOURLY: "gs://test-calitp-gtfs-schedule-parsed-hourly"
CALITP_BUCKET__LITTLEPAY_PARSED: "gs://test-calitp-payments-littlepay-parsed"
CALITP_BUCKET__LITTLEPAY_RAW: "gs://test-calitp-payments-littlepay-raw"
CALITP_BUCKET__PUBLISH: "gs://test-calitp-publish"
CALITP_BUCKET__SENTRY_EVENTS: "gs://test-calitp-sentry"
DBT_TARGET: staging_service_account
# TODO: this can be removed once we've confirmed it's no longer in Airtable
GRAAS_SERVER_URL: $GRAAS_SERVER_URL
# Composer variables for kubernetes
POD_CLUSTER_NAME: "us-west2-calitp-airflow2-pr-171e4e47-gke"
POD_LOCATION: "us-west2-a"
AIRFLOW_ENV: "development"
CALITP_USER: "pipeline"
SENTRY_DSN: "https://e498431022154366b0ff8b71cf2d93e0@sentry.k8s.calitp.jarv.us/2"
SENTRY_ENVIRONMENT: "development"
# Connection variables for Elavon SFTP server
CALITP__ELAVON_SFTP_HOSTNAME: "34.145.56.125"
CALITP__ELAVON_SFTP_PORT: "2200"
CALITP__ELAVON_SFTP_USERNAME: "elavon"
volumes:
# Note that in cloud composer, folders like dags are not in AIRFLOW_HOME
# but nested in a folder named gcs
- ./dags:/opt/airflow/gcs/dags
- ./logs:/opt/airflow/gcs/logs
- ./plugins:/opt/airflow/gcs/plugins
- ./data:/opt/airflow/gcs/data
- ./tests:/opt/airflow/gcs/tests
- $HOME/.config/gcloud:/home/airflow/.config/gcloud # Windows users: replace $HOME/.config with ${APPDATA}
#- $HOME/.kube:/home/airflow/.kube
user: "${AIRFLOW_UID:-50000}:${AIRFLOW_GID:-50000}"
depends_on:
redis:
condition: service_healthy
postgres:
condition: service_healthy
services:
postgres:
image: postgres:13
environment:
POSTGRES_USER: airflow
POSTGRES_PASSWORD: airflow
POSTGRES_DB: airflow
volumes:
- postgres-db-volume:/var/lib/postgresql/data
healthcheck:
test: ["CMD", "pg_isready", "-U", "airflow"]
interval: 5s
retries: 5
restart: always
redis:
image: redis:latest
ports:
- 6379
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 30s
retries: 50
restart: always
airflow-webserver:
<<: *airflow-common
command: webserver
ports:
- 8080:8080
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
interval: 10s
timeout: 10s
retries: 5
restart: always
airflow-scheduler:
<<: *airflow-common
command: scheduler
restart: always
airflow-worker:
<<: *airflow-common
command: celery worker
restart: always
airflow-init:
<<: *airflow-common
command: version
environment:
<<: *airflow-common-env
_AIRFLOW_DB_UPGRADE: 'true'
_AIRFLOW_WWW_USER_CREATE: 'true'
_AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
_AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
flower:
<<: *airflow-common
command: celery flower
ports:
- 5555:5555
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:5555/"]
interval: 10s
timeout: 10s
retries: 5
restart: always
airflow:
<<: *airflow-common
command: airflow
volumes:
postgres-db-volume: