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"""
Template to convert a Ploomber DAG to Airflow
"""
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.utils.dates import days_ago

from ploomber.spec import DAGSpec
from soopervisor.script.ScriptConfig import ScriptConfig

script_cfg = ScriptConfig.from_path('/home/letyndr/airflow/dags/ml-intermediate')
# Replace the project root to reflect the new location - or maybe just
# write a soopervisor.yaml, then we can we rid of this line
script_cfg.paths.project = '/home/letyndr/airflow/dags/ml-intermediate'

# TODO: use lazy_import from script_cfg
dag_ploomber = DAGSpec('/home/letyndr/airflow/dags/ml-intermediate/pipeline.yaml',
                       lazy_import=True).to_dag()
dag_ploomber.name = "ML Intermediate"

default_args = {
    'start_date': days_ago(0),
}

dag_airflow = DAG(
    dag_ploomber.name.replace(' ', '-'),
    default_args=default_args,
    description='Ploomber dag',
    schedule_interval=None,
)

script_cfg.save_script()

from airflow.operators.docker_operator import DockerOperator
for task_name in dag_ploomber:
    DockerOperator(task_id=task_name,
        image="continuumio/miniconda3",
        api_version="auto",
        auto_remove=True,
        # command="sh /home/letyndr/airflow/dags/ml-intermediate/script.sh",
        command="sleep 600",
        docker_url="unix://var/run/docker.sock",
        volumes=[
            "/home/letyndr/airflow/dags/ml-intermediate:/home/letyndr/airflow/dags/ml-intermediate:rw",
            "/home/letyndr/airflow-data/ml-intermediate:/home/letyndr/airflow-data/ml-intermediate:rw"
        ],
        working_dir=script_cfg.paths.project,
        dag=dag_airflow,
        container_name=task_name,
    )



for task_name in dag_ploomber:
    task_ploomber = dag_ploomber[task_name]
    task_airflow = dag_airflow.get_task(task_name)

    for upstream in task_ploomber.upstream:
        task_airflow.set_upstream(dag_airflow.get_task(upstream))

dag = dag_airflow

import docker

client = docker.APIClient()

# binds = {
#         "/home/letyndr/airflow/dags": {
#             "bind": "/home/letyndr/airflow/dags",
#             "mode": "rw"
#         },
#         "/home/letyndr/airflow-data/ml-intermediate": {
#             "bind": "/home/letyndr/airflow-data/ml-intermediate",
#             "mode": "rw"
#         }
#     }

binds = ["/home/letyndr/airflow/dags:/home/letyndr/airflow/dags:rw",
"/home/letyndr/airflow-data/ml-intermediate:/home/letyndr/airflow-data/ml-intermediate:rw"]

container = client.create_container(
    image="continuumio/miniconda3",
    command="sleep 600",
    volumes=["/home/letyndr/airflow/dags", "/home/letyndr/airflow-data/ml-intermediate"],
    host_config=client.create_host_config(binds=binds),
    working_dir="/home/letyndr/airflow/dags",
    name="simple_example",
)

client.start(container=container.get("Id"))