#! /usr/bin/env python3

from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from contextlib import closing
from sql import sql_queries
import snowflake.connector
import psycopg2
import smtplib
import argparse
import sys
import json
import datetime

with open('config.json', 'r') as f:
    config = json.load(f)
sf_user = config['snowflake']["user"]
sf_password = config['snowflake']["password"]
sf_account = config['snowflake']["account"]
sf_warehouse = config['snowflake']['warehouse']

db_name = config['postgres']["database"]
db_user = config['postgres']["user"]
db_password = config['postgres']["password"]
db_host = config['postgres']["host"]
db_port = config['postgres']["port"]

local_db_name = config['failure_counter']["database"]
local_db_user = config['failure_counter']["user"]
local_db_password = config['failure_counter']["password"]
local_db_host = config['failure_counter']["host"]
local_db_port = config['failure_counter']["port"]

failure_count_increase = "UPDATE failed_count SET failed_count = failed_count + 1, last = 'FAILED', last_updated = NOW() WHERE count_id = 'apen';"
failure_count_to_zero = "UPDATE failed_count SET failed_count = 0, last = 'OK', last_updated = NOW() WHERE count_id = 'apen';"

def create_arg_parser():
    parser = argparse.ArgumentParser()
    parser.add_argument('-m', '--mail',
                        nargs='+',
                        action='store',
                        dest='recipients',
                        type=str)
    parser.add_argument('-p', '--print', action="store_const", const=True)
    return parser


def send_mail(recipients: str, message: str, status: str) -> None:
    # Create a multipart message
    msg = MIMEMultipart()
    body_part = MIMEText(message, 'plain')
    msg['Subject'] = f"[{status}][PROD] Appreciation Engine"
    msg['From'] = "support.sme@dataart.com"
    msg['To'] = recipients
    # Add body to email
    msg.attach(body_part)
    # Create SMTP object
    server = smtplib.SMTP('relay1.dataart.com', 25)
    server.sendmail(msg['From'], msg['To'].split(','), msg.as_string())
    server.quit()


def snowflake_fetch_data(sql_query) -> dict:
    ctx = snowflake.connector.connect(
        user=sf_user,
        password=sf_password,
        account=sf_account,
        warehouse=sf_warehouse
    )
    cs = ctx.cursor(snowflake.connector.DictCursor)
    try:
        cs.execute(sql_query)
        result_dict = cs.fetchall()
    finally:
        cs.close()
    ctx.close()
    return result_dict


def postgres_fetch_data(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name, user=db_user, password=db_password, host=db_host, port=db_port)) as connection:
        with connection.cursor() as cursor:
            cursor.execute(sql_query)
            columns = cursor.description
            rows = cursor.fetchall()
    for row in rows:
        tmp = {}
        for i in range(len(columns)):
            tmp[columns[i][0]] = row[i]
        result_list.append(tmp)
    return result_list


def postgres_update_failure_count(sql_query):
    with closing(psycopg2.connect(database=local_db_name, user=local_db_user, password=local_db_password, host=local_db_host, port=local_db_port)) as connection:
        with connection.cursor() as cursor:
            cursor.execute(sql_query)
            connection.commit()


def step_1() -> dict:
    result_dict = {}
    full_log = {}
    ### Check 2 RAW ################################################
    tmp_pg_query_step_1 = postgres_fetch_data(sql_queries.pg_query)
    print(f"PG: - {tmp_pg_query_step_1}")

    #Check
    if tmp_pg_query_step_1:
        full_log["PG"] = {}
        result_dict["PG"] = {}
        for item in tmp_pg_query_step_1:
            full_log["PG"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_REPORTS'].lower()})
            print(f"{item['REPORT_DATE']} - {item['MISSING_REPORTS']}")
            result_dict["PG"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_REPORTS'].lower()})
    else:
        full_log["PG"] = {'OK': 'Query returned 0 records'}

    return result_dict, full_log

def step_1_1() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 2 RAW ################################################
    tmp_pg_query_step_1_1 = postgres_fetch_data(sql_queries.pg_query_1_1)
    print(f"PG_1_1: - {tmp_pg_query_step_1_1}")

    #Check
    if tmp_pg_query_step_1_1:
        full_log["PG_1_1"] = {}
        result_dict["PG_1_1"] = {}
        for item in tmp_pg_query_step_1_1:
            full_log["PG_1_1"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['NOT_FULLY_DISASSEMBLED_REPORTS'].lower()})
            print(f"{item['REPORT_DATE']} - {item['NOT_FULLY_DISASSEMBLED_REPORTS']}")
            result_dict["PG_1_1"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['NOT_FULLY_DISASSEMBLED_REPORTS'].lower()})
    else:
        full_log["PG_1_1"] = {'OK': 'Query returned 0 records'}

    return result_dict, full_log

def step_1_2() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 2 RAW ################################################
    tmp_pg_query_step_1_2 = postgres_fetch_data(sql_queries.pg_query_1_2)
    print(f"PG_1_2: - {tmp_pg_query_step_1_2}")

    #Check
    if tmp_pg_query_step_1_2:
        full_log["PG_1_2"] = {}
        result_dict["PG_1_2"] = {}
        for item in tmp_pg_query_step_1_2:
            full_log["PG_1_2"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_AE_CONTEXTS'].lower()})
            print(f"{item['REPORT_DATE']} - {item['MISSING_AE_CONTEXTS']}")
            result_dict["PG_1_2"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_AE_CONTEXTS'].lower()})
    else:
        full_log["PG_1_2"] = {'OK': 'Query returned 0 records'}

    return result_dict, full_log

def step_2() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 4 RAW vs. EXP ########################################
    #Data
    tmp_sf_query_step_2 = snowflake_fetch_data(sql_queries.sf_query)
    print(f"SF - {tmp_sf_query_step_2}")

    #Check
    if tmp_sf_query_step_2:
        full_log["SF"] = {}
        result_dict["SF"] = {}
        for item in tmp_sf_query_step_2:
            full_log["SF"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_REPORTS'].lower()})
            print(f"{item['REPORT_DATE']} - {item['MISSING_REPORTS']}")
            result_dict["SF"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_REPORTS'].lower()})
    else:
        full_log["SF"] = {'OK': 'Query returned 0 records'}

    return result_dict, full_log


################# run the all steps ######################
def run_steps() -> dict:
    message_dict = {'name':"[PROD] Appreciation Engine",'status':"",'date':"", 'info':"", 'details':"", 'full_log':""}
    # set date according to sql searching date, currently it's `today`
    message_dict["date"] = (datetime.datetime.now() - datetime.timedelta(days=1)).strftime("%Y-%m-%d")

    result_dict_1, monitoring_1_log = step_1()
    result_dict_1_1, monitoring_1_1_log = step_1_1()
    result_dict_1_2, monitoring_1_2_log = step_1_2()
    result_dict_2, monitoring_2_log = step_2()

    message_dict['full_log'] = {**monitoring_1_log, **monitoring_1_1_log, **monitoring_1_2_log, **monitoring_2_log}

#    if result_dict_7 or result_dict_2 or result_dict_1:
    if result_dict_2 or result_dict_1 or result_dict_1_1 or result_dict_1_2:
        postgres_update_failure_count(failure_count_increase)
        if result_dict_1:
            # Data is partially synced with Fivetran
            message_dict['status'] = "FAILED"
            message_dict['info'] = "Some UOWs are not completed."
            message_dict['details'] = result_dict_1
            message_dict['step'] = "1"
        elif result_dict_1_1:
            # Data is synced with Fivetran and partially available in API
            message_dict['status'] = "FAILED"
            message_dict['info'] = "Some UOWs are not completed."
            message_dict['details'] = result_dict_1_1
            message_dict['step'] = "1_1"
        elif result_dict_1_2:
            # Data is synced with Fivetran and partially available in API
            message_dict['status'] = "FAILED"
            message_dict['info'] = "Some AE Contexts are missing."
            message_dict['details'] = result_dict_1_2
            message_dict['step'] = "1_2"
        elif result_dict_2:
            # Data is synced with Fivetran and partially available in API
            message_dict['status'] = "FAILED"
            message_dict['info'] = "Partially ingested to Snowflake."
            message_dict['details'] = result_dict_2
            message_dict['step'] = "2"
#        if result_dict_7:
#            message_dict['details'].update(result_dict_7)
    else:
        message_dict['status'] = "OK"
        message_dict['info'] = "Ingested to Snowflake"
        postgres_update_failure_count(failure_count_to_zero)

    return message_dict


if __name__ == '__main__':
    # # check command line parameters and print or email result
    parser = create_arg_parser()
    arg_list = parser.parse_args()
    if len(sys.argv[1:]) > 0:
        result = run_steps()
        with open('/tmp/Appreciation_Engine_daily_log.json', 'w') as json_file:
            json.dump(result, json_file, indent=4)

        if arg_list.recipients:
            recipients = arg_list.recipients[0]
            send_mail(recipients=recipients, message=json.dumps(result, indent=4), status=result['status'])

        if arg_list.print:
            print(json.dumps(result, indent=4))
    else:
        parser.print_help()