def _docker_compose(conf: AiscalatorConfig,
extra_commands: list):
"""
Run the docker-compose command
Parameters
----------
conf : AiscalatorConfig
Configuration object for the application
extra_commands : list
list of sub-commands to run in docker-compose
"""
logger = logging.getLogger(__name__)
conf.validate_config()
dockerfile = join(conf.app_config_home(), "config",
conf.airflow_docker_compose_file())
commands = ["docker-compose"]
# Prepare a temp folder to run the command from
with TemporaryDirectory(prefix="aiscalator_") as tmp:
with open(join(tmp, ".env"), mode="w") as env_file:
# concatenate all the env files into one
for env in conf.user_env_file(conf.dag_field("definition.env")):
if isfile(env):
with open(env, mode="r") as file:
for line in file:
env_file.write(line)
utils.copy_replace(join(tmp, ".env"),
join(dirname(dockerfile), ".env"))
commands += ["-f", dockerfile] + extra_commands
logger.info("Running...: %s", " ".join(commands))
utils.subprocess_run(commands, no_redirect=True)
def airflow_edit(conf: AiscalatorConfig):
"""
Starts an airflow environment
Parameters
----------
conf : AiscalatorConfig
Configuration object for the application
"""
logger = logging.getLogger(__name__)
conf.validate_config()
docker_image = _airflow_docker_build(conf)
if docker_image:
# TODO: shutdown other jupyter lab still running
port = 10001
notebook = basename(conf.dag_field('definition.code_path'))
notebook, notebook_py = utils.notebook_file(notebook)
commands = _prepare_docker_env(conf, [
"aiscalator/airflow:" + docker_image, "bash",
"/start-jupyter.sh",
"/usr/local/airflow/work/" + notebook_py +
":/usr/local/airflow/dags/" + notebook_py
], port)
return utils.wait_for_jupyter_lab(commands, logger, notebook,
port, "work")
raise Exception("Failed to build docker image")
def _prepare_docker_env(conf: AiscalatorConfig, program, port):
"""
Assembles the list of commands to execute a docker run call
When calling "docker run ...", this function also adds a set of
additional parameters to mount the proper volumes and expose the
correct environment for the call in the docker image.
Parameters
----------
conf : AiscalatorConfig
Configuration object for the step
program : List
the rest of the commands to execute as part of
the docker run call
Returns
-------
List
The full Array of Strings representing the commands to execute
in the docker run call
"""
logger = logging.getLogger(__name__)
commands = [
"docker", "run", "--name", conf.dag_container_name() + "_edit",
"--rm",
# TODO improve port publishing
"-p", str(port) + ":8888",
"-p", "18080:8080",
]
for env in conf.user_env_file(conf.dag_field("definition.env")):
if isfile(env):
commands += ["--env-file", env]
commands += [
"--mount", "type=bind,source=/var/run/docker.sock,"
"target=/var/run/docker.sock",
]
code_path = conf.dag_file_path('definition.code_path')
notebook, _ = utils.notebook_file(code_path)
utils.check_notebook_dir(logger, notebook)
commands += [
"--mount", "type=bind,source=" + dirname(notebook) +
",target=/usr/local/airflow/work/",
]
if conf.config_path() is not None:
commands += [
"--mount",
"type=bind,source=" + abspath(conf.config_path()) +
",target="
"/usr/local/airflow/" + basename(conf.config_path()),
]
workspace = []
ws_path = "airflow.setup.workspace_paths"
if conf.app_config_has(ws_path):
ws_home = join(conf.app_config_home(),
"workspace")
makedirs(ws_home, exist_ok=True)
for folder in conf.app_config()[ws_path]:
src, dst = _split_workspace_string(conf, folder)
# bind the same path from host in the container (after creating
# a symbolic link at dst path)
workspace += [src + ":" + src]
commands += [
"--mount", "type=bind,source=" + src +
",target=" + src
]
commands += [
"--mount", "type=bind,source=" + ws_home +
",target=/usr/local/airflow/workspace/"
]
commands += program + workspace
return commands
