DAG: LosPelambres_EstimateHardnessLevelDag Functions that obtain data from the source related to Los Pelambres

schedule: 30 14 * * 3

LosPelambres_EstimateHardnessLevelDag

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# Airflow dependencies
from asyncio import Task
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.utils.dates import days_ago
from airflow.models import Variable
from airflow.operators.dagrun_operator import TriggerDagRunOperator

# Python dependencies
import sys
import os
from datetime import datetime 
from utils import estimation_mlp_function
from utils.settings import YEAR, WEEK_NUMBER

# Default arguments
default_args = {
    'owner': 'pedro',
    'start_date': datetime(2023, 8, 31, 0, 0, 0)
}

# Instanciate the DAG object
pelambres_estimate_dag = DAG(
    'LosPelambres_EstimateHardnessLevelDag',
    default_args=default_args,
    description='Functions that obtain data from the source related to Los Pelambres',
    schedule_interval='30 14 * * 3', # Hora local 9:30 y 21:30
    catchup=False,
    is_paused_upon_creation=False
)

"""
    Drilling data ingestion
"""
estimate_task1 = PythonOperator(
    task_id = 'clean_drilling_data',
    python_callable = estimation_mlp_function.clean_daily_mlp_data,
    op_kwargs = {"blob_route": f"MLP/ReporteStatusPerforacion/ENAEX BRIGHT_{WEEK_NUMBER}_{YEAR}.csv"},
    dag = pelambres_estimate_dag,
)

estimate_task2 = PythonOperator(
    task_id = 'generate_hardness_levels',
    python_callable = estimation_mlp_function.generate_labels,
    dag = pelambres_estimate_dag,
)

estimate_task1 >> estimate_task2