From 64d3ad902a1bf9f5fb9655aa3746d476c22ba9ce Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lu=C3=A3=20B=2E=20Vacaro?= Date: Tue, 26 Nov 2024 11:16:31 -0300 Subject: [PATCH] chore(copernicus): implement the new Copernicus api ETL (#34) * chore(copernicus): implement the new Copernicus api ETL * remove conda from container; update airflow to latest; clean unused tasks * update dag & include dag for ARG * include daily fetch with backfill for each adm 2 --- alertflow/airflow.cfg | 2 +- .../dags/episcanner/episcanner_export_data.py | 103 - alertflow/dags/satellite-weather/argentina.py | 93 + alertflow/dags/satellite-weather/brasil.py | 107 +- .../dags/satellite-weather/foz_do_iguacu.py | 144 - conda/env.yaml | 2 +- docker/Dockerfile | 37 +- docker/compose.yaml | 115 +- poetry.lock | 6027 ++++++++++++++++- pyproject.toml | 9 +- 10 files changed, 5862 insertions(+), 777 deletions(-) delete mode 100644 alertflow/dags/episcanner/episcanner_export_data.py create mode 100644 alertflow/dags/satellite-weather/argentina.py delete mode 100644 alertflow/dags/satellite-weather/foz_do_iguacu.py diff --git a/alertflow/airflow.cfg b/alertflow/airflow.cfg index 3d321bd..3d2b060 100644 --- a/alertflow/airflow.cfg +++ b/alertflow/airflow.cfg @@ -331,7 +331,7 @@ logging_level = INFO # Logging level for celery. If not set, it uses the value of logging_level # # Supported values: ``CRITICAL``, ``ERROR``, ``WARNING``, ``INFO``, ``DEBUG``. -celery_logging_level = DEBUG +celery_logging_level = INFO # Logging level for Flask-appbuilder UI. # diff --git a/alertflow/dags/episcanner/episcanner_export_data.py b/alertflow/dags/episcanner/episcanner_export_data.py deleted file mode 100644 index afe101a..0000000 --- a/alertflow/dags/episcanner/episcanner_export_data.py +++ /dev/null @@ -1,103 +0,0 @@ -import os -from datetime import datetime, timedelta - -from airflow import DAG -from airflow.models import Variable -from airflow.operators.bash import BashOperator -from airflow.operators.python import PythonOperator -from dotenv import dotenv_values, set_key - - -def set_airflow_variables(): - """ - Set Airflow variables from environment and write them to the .env file. - """ - # Set Airflow variables from environment variables - PSQL_USER = os.environ.get("AIRFLOW_PSQL_USER_MAIN") - PSQL_PASSWORD = os.environ.get("AIRFLOW_PSQL_PASSWORD_MAIN") - PSQL_HOST = os.environ.get("AIRFLOW_PSQL_HOST_MAIN") - PSQL_PORT = os.environ.get("AIRFLOW_PSQL_PORT_MAIN") - PSQL_DB = os.environ.get("AIRFLOW_PSQL_DB_MAIN") - - Variable.set("PSQL_USER", PSQL_USER) - Variable.set("PSQL_PASSWORD", PSQL_PASSWORD) - Variable.set("PSQL_HOST", PSQL_HOST) - Variable.set("PSQL_PORT", PSQL_PORT) - Variable.set("PSQL_DB", PSQL_DB) - - # Write variables to .env file - dotenv_path = "/opt/airflow/episcanner-downloader/.env" - env_vars = dotenv_values(dotenv_path) - env_vars["PSQL_USER"] = PSQL_USER - env_vars["PSQL_PASSWORD"] = PSQL_PASSWORD - env_vars["PSQL_HOST"] = PSQL_HOST - env_vars["PSQL_PORT"] = PSQL_PORT - env_vars["PSQL_DB"] = PSQL_DB - for key, value in env_vars.items(): - set_key(dotenv_path, key, value) - - -default_args = { - "owner": "airflow", - "depends_on_past": False, - "start_date": datetime(2023, 5, 21), - "retries": 1, - "retry_delay": timedelta(minutes=5), -} - -with DAG( - "EPISCANNER_DOWNLOADER", - default_args=default_args, - schedule_interval="0 3 * * 0", # Every Sunday at 3 AM - catchup=False, -) as dag: - - # clone the repository from GitHub - clone_repository = BashOperator( - task_id="clone_repository", - bash_command="git clone --branch main --single-branch --depth 1 " - "https://github.com/AlertaDengue/episcanner-downloader.git " - "/opt/airflow/episcanner-downloader", - dag=dag, - ) - - # Set variables for Episcanner-PostgreSQL connection - set_connection_variables = PythonOperator( - task_id="set_connection_variables", - python_callable=set_airflow_variables, - dag=dag, - ) - - # Install the Episcanner package using Poetry - install_episcanner = BashOperator( - task_id="install_episcanner", - bash_command="source /home/airflow/mambaforge/bin/activate episcanner-downloader && " # NOQA E501 - "cd /opt/airflow/episcanner-downloader && " - "poetry install", - dag=dag, - ) - - # Download all data to the specified directory - episcanner_downloader = BashOperator( - task_id="episcanner_downloader", - bash_command="source /home/airflow/mambaforge/bin/activate episcanner-downloader && " # NOQA E501 - "cd /opt/airflow/episcanner-downloader &&" - "python epi_scanner/downloader/export_data.py " - "-s all -d dengue chikungunya -o /opt/airflow/episcanner_data", - dag=dag, - ) - - # Remove the episcanner-downloader repository - remove_repository = BashOperator( - task_id="remove_repository", - bash_command="rm -rf /opt/airflow/episcanner-downloader", - dag=dag, - ) - - ( - clone_repository - >> set_connection_variables - >> install_episcanner - >> episcanner_downloader - >> remove_repository - ) diff --git a/alertflow/dags/satellite-weather/argentina.py b/alertflow/dags/satellite-weather/argentina.py new file mode 100644 index 0000000..cdac126 --- /dev/null +++ b/alertflow/dags/satellite-weather/argentina.py @@ -0,0 +1,93 @@ +""" +Author: Luã Bida Vacaro +Email: luabidaa@gmail.com +Github: https://github.com/luabida +Date: 2023-04-13 + +The COPERNICUS_ARG Airflow DAG will collect daily weather +data from the Copernicus ERA5 Land Reanalysis dataset for all +cities in Argentina. This data includes temperature, precipitation, +humidity, and atmospheric pressure, which is collected daily +starting from January 1st, 2000 to the present day. + +To ensure reliability and safety, the DAG has a 9-day delay +from the current date, as the Copernicus API usually takes +around 7 days to update the dataset. +""" + +# import os +# import logging +# import calendar +# from datetime import timedelta, date +# +# import pendulum +# from airflow import DAG +# from airflow.decorators import task +# from airflow.models import Variable +# from sqlalchemy import create_engine, text +# +# from satellite import request, ADM2 +# +# env = os.getenv +# email_main = env("EMAIL_MAIN") +# +# DEFAULT_ARGS = { +# "owner": "AlertaDengue", +# "depends_on_past": False, +# # 'email': [email_main], +# "email_on_failure": True, +# "email_on_retry": False, +# "retries": 2, +# "retry_delay": timedelta(minutes=2), +# } +# +# +# +# with DAG( +# dag_id="COPERNICUS_ARG", +# description="ETL of weather data for Brazil", +# tags=["Argentina", "Copernicus"], +# schedule="@monthly", +# default_args=DEFAULT_ARGS, +# start_date=pendulum.datetime(2000, 1, 1), +# end_date=pendulum.datetime(2024, 1, 1), +# catchup=True, +# max_active_runs=14, +# ) as dag: +# DATE = "{{ ds }}" # DAG execution date +# KEY = Variable.get("cdsapi_key", deserialize_json=True) +# URI = Variable.get("psql_main_uri", deserialize_json=True) +# +# @task +# def fetch_ds(dt, uri, api_key): +# locale = "ARG" +# tablename = f"copernicus_{locale.lower()}" +# engine = create_engine(uri) +# dt = date.fromisoformat(dt) +# end_day = calendar.monthrange(dt.year, dt.month)[1] +# date_str = f"{dt.replace(day=1)}/{dt.replace(day=end_day)}" +# with engine.connect() as conn: +# cur = conn.execute( +# text( +# f"SELECT geocode FROM weather.{tablename}" +# f" WHERE date = '{dt}'" +# ) +# ) +# table_geocodes = set(chain(*cur.fetchall())) +# +# all_geocodes = set([adm.code for adm in ADM2.filter(adm0=locale)]) +# geocodes = all_geocodes.difference(table_geocodes) +# print("TABLE_GEO ", f"[{len(table_geocodes)}]: ", table_geocodes) +# print("DIFF_GEO: ", f"[{len(geocodes)}]: ", geocodes) +# +# with request.reanalysis_era5_land( +# date_str.replace("/", "_") + locale, +# api_token=api_key, +# date=date_str, +# locale=locale, +# ) as ds: +# for adm in ADM2.filter(adm0=locale): +# with engine.connect() as conn: +# ds.cope.to_sql(adm, conn, tablename, "weather") +# +# fetch_ds(DATE, URI["PSQL_MAIN_URI"], KEY["CDSAPI_KEY"]) diff --git a/alertflow/dags/satellite-weather/brasil.py b/alertflow/dags/satellite-weather/brasil.py index feab12e..5c1818a 100644 --- a/alertflow/dags/satellite-weather/brasil.py +++ b/alertflow/dags/satellite-weather/brasil.py @@ -16,11 +16,15 @@ """ import os -from datetime import timedelta +from datetime import date, timedelta +from itertools import chain import pendulum from airflow import DAG from airflow.decorators import task +from airflow.models import Variable +from satellite import ADM2, request +from sqlalchemy import create_engine, text env = os.getenv email_main = env("EMAIL_MAIN") @@ -40,98 +44,45 @@ dag_id="COPERNICUS_BRASIL", description="ETL of weather data for Brazil", tags=["Brasil", "Copernicus"], - schedule="@daily", + schedule="@monthly", default_args=DEFAULT_ARGS, - start_date=pendulum.datetime(2024, 1, 1), + start_date=pendulum.datetime(2000, 1, 1), + end_date=pendulum.datetime(2024, 1, 1), catchup=True, max_active_runs=14, -): - from airflow.models import Variable - +) as dag: DATE = "{{ ds }}" # DAG execution date - DATA_DIR = "/tmp/copernicus" KEY = Variable.get("cdsapi_key", deserialize_json=True) URI = Variable.get("psql_main_uri", deserialize_json=True) - # fmt: off - @task.external_python( - task_id="daily_fetch", - python="/opt/py310/bin/python3.10" - ) - # fmt: on - def extract_transform_load( - date: str, data_dir: str, api_key: str, psql_uri: str - ) -> str: - """ - Due to incompatibility issues between Airflow's Python version - and the satellite-weather-downloader (SWD) package, this task - will be executed in a dedicated virtual environment, which - includes a pre-installed Python3.10 interpreter within the - container. All imports must be within the scope of the task, - and XCom sharing between tasks is not allowed. - - The task is designed to receive the execution date and download - the weather dataset for that specific day. After downloading, - the data is transformed using Xarray and inserted into the Main - Postgres DB, as specified in the .env file, in the form of a - DataFrame containing the weather information. - """ - from datetime import timedelta - from itertools import chain - from pathlib import Path - - from dateutil import parser - from satellite import downloader as sat_d - from satellite import weather as sat_w - from satellite.weather.brazil.extract_latlons import MUNICIPALITIES - from sqlalchemy import create_engine, text - - start_date = parser.parse(str(date)) - max_update_delay = start_date - timedelta(days=6) + @task + def fetch_ds(locale, dt, uri, api_key): + tablename = f"copernicus_{locale.lower()}" + engine = create_engine(uri) + dt = date.fromisoformat(dt) - timedelta(days=5) - with create_engine(psql_uri["PSQL_MAIN_URI"]).connect() as conn: + with engine.connect() as conn: cur = conn.execute( text( - "SELECT geocodigo FROM weather.copernicus_brasil" - f" WHERE date = '{str(max_update_delay.date())}'" + f"SELECT geocode FROM weather.{tablename}" + f" WHERE date = '{str(dt)}'" ) ) table_geocodes = set(chain(*cur.fetchall())) - all_geocodes = set([mun["geocodigo"] for mun in MUNICIPALITIES]) + all_geocodes = set([adm.code for adm in ADM2.filter(adm0=locale)]) geocodes = all_geocodes.difference(table_geocodes) print("TABLE_GEO ", f"[{len(table_geocodes)}]: ", table_geocodes) print("DIFF_GEO: ", f"[{len(geocodes)}]: ", geocodes) - if not geocodes: - return "There is no geocode to fetch" - - # Downloads daily dataset - netcdf_file = sat_d.download_br_netcdf( - date=str(max_update_delay.date()), - data_dir=data_dir, - user_key=api_key["CDSAPI_KEY"], - ) - - print(f"Handling {netcdf_file}") - - # Reads the NetCDF4 file using Xarray - ds = sat_w.load_dataset(netcdf_file) - - with create_engine(psql_uri["PSQL_MAIN_URI"]).connect() as conn: - ds.copebr.to_sql( - tablename="copernicus_brasil", - schema="weather", - geocodes=list(geocodes), - con=conn, - ) - - # Deletes the NetCDF4 file - Path(netcdf_file).unlink(missing_ok=True) - - return f"{len(geocodes)} inserted into DB." - - # Instantiate the Task - ETL = extract_transform_load(DATE, DATA_DIR, KEY, URI) - - ETL # Execute + with request.reanalysis_era5_land( + str(dt).replace("-", "_") + locale, + api_token=api_key, + date=str(dt), + locale=locale, + ) as ds: + for adm in ADM2.filter(adm0=locale): + with engine.connect() as conn: + ds.cope.to_sql(adm, conn, tablename, "weather") + + fetch_ds("BRA", DATE, URI["PSQL_MAIN_URI"], KEY["CDSAPI_KEY"]) diff --git a/alertflow/dags/satellite-weather/foz_do_iguacu.py b/alertflow/dags/satellite-weather/foz_do_iguacu.py deleted file mode 100644 index d4c0800..0000000 --- a/alertflow/dags/satellite-weather/foz_do_iguacu.py +++ /dev/null @@ -1,144 +0,0 @@ -""" -Author: Luã Bida Vacaro -Email: luabidaa@gmail.com -Github: https://github.com/luabida -Date: 2023-04-13 - -The COPERNICUS_FOZ Airflow DAG will retrieve weekly weather data -for the Brazilian city of Foz do Iguaçu by accessing the Copernicus -ERA5 Reanalysis dataset. This climate information includes temperature, -precipitation, humidity, and atmospheric pressure, which is collected -every 3 hours daily from January 1st, 2000 to the present. For safety -measures, the DAG is programmed to have a 9-day delay from the current -date, considering that the Copernicus API typically takes an average -of 7 days to update the dataset. -""" - -import os -from datetime import timedelta - -import pendulum -from airflow import DAG -from airflow.decorators import task -from airflow.models import Variable - -DEFAULT_ARGS = { - "owner": "AlertaDengue", - "depends_on_past": False, - # 'email': [email_main], - "email_on_failure": True, - "email_on_retry": False, - "retries": 2, - "retry_delay": timedelta(minutes=2), -} - -env = os.getenv -email_main = env("EMAIL_MAIN") -DATA_DIR = "/tmp/copernicus" -KEY = Variable.get("cdsapi_key", deserialize_json=True) -URI = Variable.get("psql_main_uri", deserialize_json=True) - -with DAG( - dag_id="COPERNICUS_FOZ", - description="ETL of weather data for Foz do Iguaçu - BR", - tags=["Brasil", "Copernicus", "Foz do Iguaçu"], - schedule="@weekly", - default_args=DEFAULT_ARGS, - start_date=pendulum.datetime(2000, 1, 9), - catchup=True, - max_active_runs=15, -): - - DATE = "{{ ds }}" # DAG execution date - - # fmt: off - @task.external_python( - task_id="weekly_fetch", - python="/opt/py310/bin/python3.10" - ) - # fmt: on - def extract_transform_load( - date: str, data_dir: str, api_key: str, psql_uri: str - ) -> None: - """ - Due to incompatibility issues between Airflow's Python version - and the satellite-weather-downloader (SWD) package, this task - will be executed in a dedicated virtual environment, which - includes a pre-installed Python3.10 interpreter within the - container. All imports must be within the scope of the task, - and XCom sharing between tasks is not allowed. - - The task is designed to receive the execution date and download - the weather dataset for that specific week range. After downloading, - the data is transformed using Xarray and inserted into the Main - Postgres DB, as specified in the .env file, in the form of a - DataFrame containing the weather information. - """ - from datetime import datetime, timedelta - from itertools import chain - from pathlib import Path - - from dateutil import parser - from satellite import downloader as sat_d - from satellite import weather as sat_w - from sqlalchemy import create_engine - - try: - # Check if date has been already inserted - with create_engine(psql_uri["PSQL_MAIN_URI"]).connect() as conn: - cur = conn.execute( - "SELECT DISTINCT(datetime::DATE) " - "FROM weather.copernicus_foz_do_iguacu" - ) - dates = list(chain(*cur.all())) - except Exception as e: - if "UndefinedTable" in str(e): - print("First insertion") - dates = [] - else: - raise e - - exec_date = parser.parse(str(date)).date() - max_update_delay = exec_date - timedelta(days=6) - start_date = max_update_delay - timedelta(days=7) - - def format_date(dt: datetime): - return dt.strftime("%F") - - if str(format_date(start_date)) in list(map(format_date, dates)): - print(f"[INFO] {date} has been fetched already.") - return None - - # Downloads the NetCDF4 dataset - netcdf_file = sat_d.download_br_netcdf( - date=str(start_date), - date_end=str(max_update_delay), - data_dir=data_dir, - user_key=api_key["CDSAPI_KEY"], - ) - filepath = Path(data_dir) / netcdf_file - - # Reads the dataset - ds = sat_w.load_dataset(filepath) - - # Transform the data, returns a pandas DataFrame - df = ds.copebr.to_dataframe(4108304, raw=True) - - # Insert the DataFrame into DB - with create_engine(psql_uri["PSQL_MAIN_URI"]).connect() as conn: - df.to_sql( - name="copernicus_foz_do_iguacu", - index=False, - schema="weather", - con=conn, - if_exists="append", - ) - print(f"{filepath} inserted into weather.copernicus_foz_do_iguacu") - - # Deletes the dataset - Path(filepath).unlink(missing_ok=True) - - # Instantiate the Task - ETL = extract_transform_load(DATE, DATA_DIR, KEY, URI) - - ETL # Execute diff --git a/conda/env.yaml b/conda/env.yaml index 7957709..37f44ad 100644 --- a/conda/env.yaml +++ b/conda/env.yaml @@ -3,7 +3,7 @@ channels: - conda-forge - nodefaults dependencies: - - python >3.8,<4 + - python >3.10,<3.13 - pip - pre-commit - poetry >= 1.7.1 diff --git a/docker/Dockerfile b/docker/Dockerfile index a7cba11..1655c3e 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,4 +1,4 @@ -FROM apache/airflow:2.5.3 +FROM apache/airflow:latest LABEL maintainer="Luã Bida Vacaro " LABEL org.opencontainers.image.title="AlertFlow" @@ -29,6 +29,7 @@ RUN apt-get update \ libbz2-dev \ libpq-dev \ python3-dev \ + python3-venv \ libsqlite3-dev \ postgresql-client \ wget \ @@ -46,42 +47,18 @@ RUN addgroup --gid ${HOST_GID} airflow \ ENV PATH "$PATH:/home/airflow/.local/bin" ENV PATH "$PATH:/usr/bin/dirname" - -# Install Python 3.10 -RUN curl https://www.python.org/ftp/python/3.10.8/Python-3.10.8.tgz -o /tmp/Python-3.10.8.tgz \ - && tar -zxvf /tmp/Python-3.10.8.tgz -C /tmp \ - && cd /tmp/Python-3.10.8 \ - && ./configure --prefix=/opt/py310 --enable-optimizations \ - && make install \ - && mkdir /opt/envs/ \ - && chown -R airflow /opt/py310 /opt/envs\ - && echo "alias python3.10=/opt/py310/bin/python3.10" >> /home/airflow/.bashrc - COPY --chown=airflow alertflow/airflow.cfg ${AIRFLOW_HOME}/airflow.cfg COPY --chown=airflow docker/scripts/entrypoint.sh /entrypoint.sh +COPY --chown=airflow pyproject.toml ${AIRFLOW_HOME} RUN chmod +x /entrypoint.sh USER airflow -WORKDIR ${AIRFLOW_HOME} +RUN curl -sSL https://install.python-poetry.org | python3 -# Install conda and create environment -RUN curl -LO https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-Linux-x86_64.sh \ - && bash Mambaforge-Linux-x86_64.sh -b -p /home/airflow/mambaforge \ - && rm Mambaforge-Linux-x86_64.sh \ - && /home/airflow/mambaforge/bin/mamba create -y -n episcanner-downloader python=3.11 poetry psycopg2 python-dotenv \ - && chown -R ${HOST_UID}:${HOST_GID} ${AIRFLOW_HOME}/ /home/airflow/mambaforge/ - -# Create Python3.10 virtual env -RUN source /home/airflow/mambaforge/bin/activate \ - && conda install -c conda-forge "libgdal>=3.8.4" \ - && /usr/local/bin/python -m virtualenv /opt/envs/py310 --python="/opt/py310/bin/python3.10" \ - && sed -i "s/include-system-site-packages = false/include-system-site-packages = true/" /opt/envs/py310/pyvenv.cfg \ - && source /opt/envs/py310/bin/activate \ - && pip install \ - "satellite-weather-downloader >= 1.10.1" \ - psycopg2 +WORKDIR ${AIRFLOW_HOME} -RUN echo "alias activate_episcanner='source /home/airflow/mambaforge/bin/activate episcanner-downloader'" >> /home/airflow/.bashrc +RUN poetry config virtualenvs.create false \ + && poetry install --only main ENTRYPOINT [ "/entrypoint.sh" ] diff --git a/docker/compose.yaml b/docker/compose.yaml index 30d2273..1c26355 100644 --- a/docker/compose.yaml +++ b/docker/compose.yaml @@ -32,29 +32,13 @@ x-airflow-common: AIRFLOW_HOME: ${AIRFLOW_HOME:-/opt/airflow} AIRFLOW_VAR_PSQL_MAIN_URI: '{"PSQL_MAIN_URI":"${PSQL_URI_MAIN}"}' AIRFLOW_VAR_CDSAPI_KEY: '{"CDSAPI_KEY":"${CDSAPI_KEY}"}' - # HOST_UID: ${HOST_UID} HOST_GID: ${HOST_GID} - # Episcsanner variables - AIRFLOW_PSQL_USER_MAIN: ${AIRFLOW_PSQL_USER_MAIN} - AIRFLOW_PSQL_PASSWORD_MAIN: ${AIRFLOW_PSQL_PASSWORD_MAIN} - AIRFLOW_PSQL_HOST_MAIN: ${AIRFLOW_PSQL_HOST_MAIN} - AIRFLOW_PSQL_PORT_MAIN: ${AIRFLOW_PSQL_PORT_MAIN} - AIRFLOW_PSQL_DB_MAIN: ${AIRFLOW_PSQL_DB_MAIN} volumes: - ${AIRFLOW_PROJ_DIR:-.}/alertflow/dags:${AIRFLOW_HOME}/dags - ${AIRFLOW_PROJ_DIR:-.}/alertflow/logs:${AIRFLOW_HOME}/logs - ${AIRFLOW_PROJ_DIR:-.}/alertflow/plugins:${AIRFLOW_HOME}/plugins - # Episcanner - - ${EPISCANNER_HOST_DATA}:${AIRFLOW_HOME}/episcanner_data - user: "${AIRFLOW_UID:-50000}:0" - depends_on: - &airflow-common-depends-on - redis: - condition: service_healthy - postgres: - condition: service_healthy services: postgres: @@ -92,6 +76,38 @@ services: networks: - alertflow + startup: + <<: *airflow-common + entrypoint: /bin/bash + image: alertflow:latest + container_name: alertflow_startup + # yamllint disable rule:line-length + command: + - -c + - | + mkdir -p /sources/logs /sources/dags /sources/plugins + chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins} + exec /entrypoint airflow version + # yamllint enable rule:line-length + environment: + AIRFLOW__CORE__FERNET_KEY: ${AIRFLOW__CORE__FERNET_KEY} + AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + AIRFLOW_HOME: ${AIRFLOW_HOME:-/opt/airflow} + AIRFLOW_VAR_PSQL_MAIN_URI: '{"PSQL_MAIN_URI":"${PSQL_URI_MAIN}"}' + AIRFLOW_VAR_CDSAPI_KEY: '{"CDSAPI_KEY":"${CDSAPI_KEY}"}' + HOST_UID: ${HOST_UID} + HOST_GID: ${HOST_GID} + CDSAPI_KEY: ${CDSAPI_KEY} + _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} + user: "0:0" + volumes: + - ${AIRFLOW_PROJ_DIR:-.}/alertflow:/sources + networks: + - alertflow + webserver: <<: *airflow-common command: webserver @@ -108,7 +124,10 @@ services: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy startup: condition: service_completed_successfully networks: @@ -128,7 +147,10 @@ services: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy startup: condition: service_completed_successfully networks: @@ -149,13 +171,22 @@ services: retries: 5 start_period: 30s environment: - <<: *airflow-common-env + AIRFLOW__CORE__FERNET_KEY: ${AIRFLOW__CORE__FERNET_KEY} + AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + AIRFLOW_HOME: ${AIRFLOW_HOME:-/opt/airflow} + AIRFLOW_VAR_PSQL_MAIN_URI: '{"PSQL_MAIN_URI":"${PSQL_URI_MAIN}"}' + AIRFLOW_VAR_CDSAPI_KEY: '{"CDSAPI_KEY":"${CDSAPI_KEY}"}' + HOST_UID: ${HOST_UID} + HOST_GID: ${HOST_GID} # Required to handle warm shutdown of the celery workers properly # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation DUMB_INIT_SETSID: "0" restart: always depends_on: - <<: *airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy startup: condition: service_completed_successfully networks: @@ -175,44 +206,27 @@ services: start_period: 30s restart: always depends_on: - <<: *airflow-common-depends-on + redis: + condition: service_healthy + postgres: + condition: service_healthy startup: condition: service_completed_successfully networks: - alertflow - startup: - <<: *airflow-common - entrypoint: /bin/bash - image: alertflow:latest - container_name: alertflow_startup - # yamllint disable rule:line-length - command: - - -c - - | - mkdir -p /sources/logs /sources/dags /sources/plugins - chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins} - exec /entrypoint airflow version - # yamllint enable rule:line-length - environment: - <<: *airflow-common-env - CDSAPI_KEY: ${CDSAPI_KEY} - _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} - user: "0:0" - volumes: - - ${AIRFLOW_PROJ_DIR:-.}/alertflow:/sources - networks: - - alertflow - cli: <<: *airflow-common profiles: - debug environment: - <<: *airflow-common-env + AIRFLOW__CORE__FERNET_KEY: ${AIRFLOW__CORE__FERNET_KEY} + AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: 'true' + AIRFLOW_HOME: ${AIRFLOW_HOME:-/opt/airflow} + AIRFLOW_VAR_PSQL_MAIN_URI: '{"PSQL_MAIN_URI":"${PSQL_URI_MAIN}"}' + AIRFLOW_VAR_CDSAPI_KEY: '{"CDSAPI_KEY":"${CDSAPI_KEY}"}' + HOST_UID: ${HOST_UID} + HOST_GID: ${HOST_GID} CONNECTION_CHECK_MAX_COUNT: "0" # Workaround for entrypoint issue. 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