DAG: hy202308_itp_dashboard

schedule: 0 7,15 * * *


hy202308_itp_dashboard

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try:

    from datetime import datetime, timezone, timedelta
    from airflow import DAG
    
    from airflow.operators.python_operator import PythonOperator
    from airflow.operators.http_operator import SimpleHttpOperator
    from airflow.hooks.base_hook import BaseHook
    from datetime import datetime
    from pandas.io.json import json_normalize
    from airflow.operators.postgres_operator import PostgresOperator
    # from pymongo import MongoClient

    import pandas as pd
    import json
    import requests
    import numpy as np
    import re
    import array
    import psycopg2
    from sqlalchemy import create_engine
    import math

except Exception as e:
    print("Error {} ".format(e))

dRoW_api_end_url = "https://drow.cloud"

def getDrowToken(**context):
    response = requests.post(
    url=f"{dRoW_api_end_url}/api/auth/authenticate",
    data={
        "username": "keexiansuen@drow.cloud",
        "password": "c3UxMTk5a3ghIQ==",
    }
    ).json()
    context["ti"].xcom_push(key="token", value=response['token'])

def getdrowPSQLConnectionString():
    host                  = 'drowdatewarehouse.crlwwhgepgi7.ap-east-1.rds.amazonaws.com'  
    # User name of the database server
    dbUserName            = 'dRowAdmin'  
    # Password for the database user
    dbUserPassword        = 'drowsuper'  
    # Name of the database 
    database              = 'drowDateWareHouse'
    # Character set
    charSet               = "utf8mb4"  
    port                  = "5432"
    conn_string = ('postgres://' +
                           dbUserName + ':' + 
                           dbUserPassword +
                           '@' + host + ':' + port +
                           '/' + database)
    return conn_string

def getInspectionData(**context):
    token = context.get("ti").xcom_pull(key="token")

    # mongo_conn = BaseHook.get_connection("mongo_conn")
    # mongo_uri = f"mongodb://{mongo_conn.host}:{mongo_conn.port}"
    # mongo_client = MongoClient(mongo_uri)
    # mongo_db = mongo_client[mongo_conn.schema]
    # workflow_collection = mongo_db['workflows']
    # workflow_records = mongo_db['workflowrecords']

    itp_response = requests.get(
        url=f"{dRoW_api_end_url}/api/module/document-export/airflow/workflow/6780da3a19a6ea5c197f5e8a?export_type=0",
        headers={
            "x-access-token": f"Bearer {token}",
            "ICWPxAccessKey": "5WSD21ICWP_[1AG:4UdI){n=b~"
        }
    )
    ITP_Data = json.loads(itp_response.text)
    risc_response = requests.get(
        url=f"{dRoW_api_end_url}/api/module/document-export/airflow/workflow/6732d16bf0fd5b8f573d79ef?export_type=0",
        headers={
            "x-access-token": f"Bearer {token}",
            "ICWPxAccessKey": "5WSD21ICWP_[1AG:4UdI){n=b~"
        }
    )
    RISC_Data = json.loads(risc_response.text)

    conn_string = getdrowPSQLConnectionString()
    db = create_engine(conn_string)
    conn = db.connect()

    with conn as conn:
        itp_df = pd.DataFrame()
        for x in ITP_Data:
            print("Data ITP:", x)
            df_nested_list = json_normalize(x['data'])
            df_nested_list['ITP ID'] = x['_id']
            itp_df = itp_df.append(df_nested_list)
        # print("ITP Dataframe:", itp_df.columns)

        df = pd.DataFrame()
        for x in RISC_Data:
            print("Data RISC:", x)
            df_nested_list = json_normalize(x['data'])
            df = df.append(df_nested_list)
        # print("RISC Dataframe:", df.columns)
        # print("ITP Status:", df['ITP Status'])
        # print("ITP:", df['ITP Type'])

# Execute DAG 4 times every day
with DAG(
    dag_id="hy202308_itp_dashboard",
    schedule_interval="0 7,15 * * *",
    default_args={
        "owner": "airflow",
        "retries": 1,
        "retry_delay": timedelta(minutes=5),
        "start_date": datetime(2023, 1, 17)
    },
    catchup=False) as f:

    getDrowToken = PythonOperator(
        task_id="getDrowToken",
        python_callable=getDrowToken,
        provide_context=True,
        # op_kwargs={"name": "Dylan"}
    )

    getInspectionData = PythonOperator(
        task_id="getInspectionData",
        python_callable=getInspectionData,
        provide_context=True,
        op_kwargs={"name": "Dylan"},
    )

getDrowToken >> getInspectionData