try:

    from datetime import timedelta
    from airflow import DAG
    
    from airflow.operators.python_operator import PythonOperator
    from airflow.operators.http_operator import SimpleHttpOperator
    from datetime import datetime
    from pandas.io.json import json_normalize
    from airflow.operators.postgres_operator import PostgresOperator

    import pandas as pd
    import json
    import requests
    import numpy as np

    import psycopg2
    from sqlalchemy import create_engine
    #print("All Dag moudules are sucessfully imported")

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

dRoW_api_end_url = "https://drow.cloud"

def getDrowToken(**context):
    # response = SimpleHttpOperator(
    #     task_id="getDrowToken",
    #     http_conn_id="getDrowToken",
    #     endpoint="https://uat2.drow.cloud/api/auth/authenticate",
    #     method="POST",
    #     data={
    #     "username": "icwp2@drow.cloud",
    #     "password": "dGVzdDAxQHRlc3QuY29t"
    #     },
    #     xcom_push=True,
    # )

    response = requests.post(
    url=f"{dRoW_api_end_url}/api/auth/authenticate",
    data={
    "username": "icwp2@drow.cloud",
    "password": "dGVzdDAxQHRlc3QuY29t"
    }
    ).json()
    context["ti"].xcom_push(key="token", value=response['token'])
    # return 'DLLM{}'.format(response)


def getMongoDB(**context):
    token = context.get("ti").xcom_pull(key="token")
    response = requests.get(
    url=f"{dRoW_api_end_url}/api/module/document-export/airflow/workflow/626d7cd38fa17e0c8f2a9723?export_type=0",
    headers={
    "x-access-token": f"Bearer {token}",
    "ICWPxAccessKey": "nd@201907ICWP_[1AG:4UdI){n=b~"
    }
    )
    #print('got_data')
    RISC_Data = json.loads(response.text)
    Mapping= {
    # "f2_checked_by_supd_on_date" : "f2_checked_by_supd_on_date", 
    "A1 Inspection Date" : "a01a_inspection_date",
    # "D4 Submission Date" : "d4_submission_date",
    "Daily Cleansing or Weekly Tidying": "a2_daily_or_weekly"
    }
    #print('start transform')
    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"

    # #cursor Type
    # cusrsorType            = pymysql.cursors.DictCursor



    #create_engine('mysql+mysqldb://root:password@localhost:3306/mydbname', echo = False)
    conn_string = ('postgres://' +
                           dbUserName + ':' + 
                           dbUserPassword +
                           '@' + host + ':' + port +
                           '/' + database)

    # df = context.get("ti").xcom_pull(key="InsertData")
    # print(df)
    # conn_string = 'postgres://user:password@host/data1'
    
    db = create_engine(conn_string)
    conn = db.connect()
    #print('db connected')
    with conn as conn:
        df = pd.DataFrame()
        for x in RISC_Data:
            #print(x)
            df_nested_list = json_normalize(x['data'])
            #print('process 1')
            # df2["a10_request_submission_date_time"] = request_date
            
            df2 = df_nested_list.reindex(columns=Mapping.keys())
            if len(x['ApproveLogSummary']) > 0:
                # request_date = pd.to_datetime(df2["C1 - Inspect on Date Time"]) - pd.Timedelta(days=1)
                request_data = [data for data in x['ApproveLogSummary'] if data.get('statusName')=="B: RSS sign"]
                if len(request_data) > 0 and 'from' in request_data[-1]:
                    df2['f2_checked_by_supd_on_date'] = request_data[-1]['from']
                else:
                    df2['f2_checked_by_supd_on_date'] = None
                if len(request_data) > 0 and 'to' in request_data[-1]:
                    df2['d4_submission_date'] = request_data[-1]['to']
                else:
                    df2['d4_submission_date'] = None
            else:
                df2['f2_checked_by_supd_on_date'] = None
                df2['d4_submission_date'] = None
                
            df2["report_name"] = df2["A1 Inspection Date"].astype(str).str[:10] + df2["Daily Cleansing or Weekly Tidying"]
            if len([data for data in x['ApproveLogSummary'] if data.get('statusName')=="Z: END"])>0:
                df2['report_complete_or_incomplete'] = 'complete'
            else:
                df2['report_complete_or_incomplete'] = 'incomplete'
            if 'data' in x and isinstance(x['data'], dict):
                for key in x['data']:
                    if 'Checklist' in key:
                        total_report = 0
                        total_x = 0
                        for item in x['data'][key]:
                            for item_key in item:
                                total_report += 1
                                if item_key.endswith('Condition') and item[item_key] == 'X':
                                    total_x += 1
                        df2['nc_report_item'] = total_x
                        df2['total_report_item'] = total_report
                    
            # if not df2['f2_checked_by_supd_on_date'].isnull().bool() and not df2['d4_submission_date'].isnull().bool() and (df2["f2_checked_by_supd_on_date"].astype('datetime64[ns]') > df2["d4_submission_date"].astype('datetime64[ns]')).bool():
            #     df2['nc_report'] = True
            # else:
            #     df2['nc_report'] = False
            if (not df2['f2_checked_by_supd_on_date'].isnull().bool() and not df2['A1 Inspection Date'].isnull().bool()):
                df2['complete_time_in_days'] = (((df2['f2_checked_by_supd_on_date'].astype('datetime64[ns]') - 
                df2['A1 Inspection Date'].astype('datetime64[ns]'))/ np.timedelta64(1, 'h'))/24).round(2)
                if df2['complete_time_in_days'].isnull().bool() or df2['complete_time_in_days'].lt(0).bool():
                    df2['complete_time_in_days'] = 0
            else:
                df2['complete_time_in_days'] = 0

            df2.rename(columns=Mapping, inplace=True)
            df = df.append(df2)
        df['a01a_inspection_date']=df['a01a_inspection_date'].apply(pd.to_datetime)
        df['d4_submission_date']=df['d4_submission_date'].apply(pd.to_datetime)
        df['f2_checked_by_supd_on_date']=df['f2_checked_by_supd_on_date'].apply(pd.to_datetime)
        df.to_sql('cleansing_5wsd21', con=conn, if_exists='replace', index= False)
    

# id SERIAL
create_table_sql_query = """ 
    CREATE TABLE IF NOT EXISTS cleansing_5wsd21 (
    f2_checked_by_supd_on_date TIMESTAMP,
    a01a_inspection_date TIMESTAMP,
    d4_submission_date TIMESTAMP,
    a2_daily_or_weekly VARCHAR (100),
    report_name VARCHAR (100),
    report_complete_or_incomplete VARCHAR (100),
    nc_report BOOLEAN,
    complete_time_in_days NUMERIC(10,2)
    );
    """


# */2 * * * * Execute every two minute 
with DAG(
        dag_id="5wsd21_cleaning",
        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:
    
    getMongoDB = PythonOperator(
        task_id="getMongoDB",
        python_callable=getMongoDB,
        op_kwargs={"name": "Dylan"},
        provide_context=True,
    )

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

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

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

    create_table = PostgresOperator(
        sql = create_table_sql_query,
        task_id = "create_table_task",
        postgres_conn_id = "postgres_rds",
    )

    # insert_data = PostgresOperator(
    #     sql = insert_data_sql_query,
    #     task_id = "insertData_sql_query_task",
    #     postgres_conn_id = "postgres_rds",
    # )



# getDrowToken >> getMongoDB >> reformData >> create_table
# create_table >> getDrowToken >> getMongoDB >> reformData >> insertData
# getDrowToken >> getMongoDB >> reformData >> insertData
create_table >> getDrowToken >> getMongoDB