#! /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_slz = config['postgres_slz']["database"]
db_user_slz = config['postgres_slz']["user"]
db_password_slz = config['postgres_slz']["password"]
db_host_slz = config['postgres_slz']["host"]
db_port_slz = config['postgres_slz']["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 = 'smemaxea';"
failure_count_to_zero = "UPDATE failed_count SET failed_count = 0, last = 'OK', last_updated = NOW() WHERE count_id = 'smemaxea';"

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 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] SME MAX (Exploration Area)"
    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_slz(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name_slz, user=db_user_slz, password=db_password_slz, host=db_host_slz, port=db_port_slz)) 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 check_1_to_9() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 1 SLZ status (expected result: 0 results) ################################################
    tmp_pg_check_1 = postgres_fetch_data_slz(sql_queries.pg_check_1)
    print(f"SLZ_STATUS_CHECK_1: - {tmp_pg_check_1}")
    #Check
    if tmp_pg_check_1:
        full_log["SLZ_STATUS_CHECK_1"] = {}
        result_dict["SLZ_STATUS_CHECK_1"] = {}
        for item in tmp_pg_check_1:
            full_log["SLZ_STATUS_CHECK_1"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_REPORTS'].lower()})
            print(f"{item['REPORT_DATE']} - {item['MISSING_REPORTS']}")
            result_dict["SLZ_STATUS_CHECK_1"].update({item['REPORT_DATE'].strftime("%Y-%m-%d"): item['MISSING_REPORTS'].lower()})
    else:
        full_log["SLZ_STATUS_CHECK_1"] = {'SLZ_STATUS_CHECK_1': 'OK: Query returned 0 results'}

    ### Check 2 Raw Data uploaded without errors (expected result: 0 results) ################################################
    tmp_sf_check_2 = snowflake_fetch_data(sql_queries.sf_check_2)
    sf_check_2_count = int(tmp_sf_check_2[0]['count'])
    print(f"CHECK_2: - count:{sf_check_2_count}")
    full_log["CHECK_2"] = {}

    if sf_check_2_count > 0:
        result_dict["CHECK_2"] = {}
        result_dict["CHECK_2"] = {'CHECK_2': 'FAILED: Query returned more than 0'}
        full_log["CHECK_2"] = result_dict["CHECK_2"]
    else:
        full_log["CHECK_2"] = {'CHECK_2': 'OK: Query returned 0'}

    ### Check 3 RAW -> Report for previous day is uploaded to Snowflake - ALBUM_MAPPING (expected result: result == TRUE) ################################################
    tmp_sf_check_3 = snowflake_fetch_data(sql_queries.sf_check_3)
    if tmp_sf_check_3:
        sf_check_3_result = tmp_sf_check_3[0]['result']
        expected = True
        print(f"CHECK_3: - {sf_check_3_result}")
        full_log["CHECK_3"] = {'CHECK_3_RESULT': sf_check_3_result}

        if sf_check_3_result != expected:
            result_dict["CHECK_3"] = {'CHECK_3_RESULT': "Failed: Query returned sf_check_3_result"}
    else:
        result_dict["CHECK_3"] = {'CHECK_3_RESULT': "Failed: Query returned nothing"}
        full_log["CHECK_3"] = {'CHECK_3_RESULT': "Failed: Query returned nothing"}

    ### Check 4 RAW -> Report for previous day is uploaded to Snowflake - TRACK_MAPPING (expected result: result == TRUE) ################################################
    tmp_sf_check_4 = snowflake_fetch_data(sql_queries.sf_check_4)
    if tmp_sf_check_4:
        sf_check_4_result = tmp_sf_check_4[0]['result']
        expected = True
        print(f"CHECK_4: - {sf_check_4_result}")
        full_log["CHECK_4"] = {'CHECK_4_RESULT': sf_check_4_result}

        if sf_check_4_result != expected:
            result_dict["CHECK_4"] = {'CHECK_4_RESULT': "Failed: Query returned sf_check_4_result"}
    else:
        result_dict["CHECK_4"] = {'CHECK_4_RESULT': "Failed: Query returned nothing"}
        full_log["CHECK_4"] = {'CHECK_4_RESULT': "Failed: Query returned nothing"}

    ### Check 5 MAIN -> RAW → EXP - SME_MAX_ALBUM_MAPPING  - Import status successful (expected result: Counts match inside every step) ################################################
    tmp_sf_check_5 = snowflake_fetch_data(sql_queries.sf_check_5)
    print(f"CHECK_5: - {len(tmp_sf_check_5)} ROWS")
    full_log["CHECK_5"] = {'CHECK_5': f"Query returned {len(tmp_sf_check_5)} results"}

    if len(tmp_sf_check_5) > 0:
        result_dict["CHECK_5"] = full_log["CHECK_5"]

    ### Check 6 MAIN -> ETL DIM_TIKTOK_TOP_CHART (expected result: Counts match inside every step) ################################################
    tmp_sf_check_6 = snowflake_fetch_data(sql_queries.sf_check_6)
    sf_check_6_dest = int(tmp_sf_check_6[0]['count'])
    sf_check_6_src = int(tmp_sf_check_6[1]['count'])
    print(f"SRC_CHECK_6: - {sf_check_6_src}")
    print(f"DEST_CHECK_6: - {sf_check_6_dest}")
    full_log["CHECK_6"] = {'SRC_CHECK_6': sf_check_6_src, 'DEST_CHECK_6': sf_check_6_dest}

    if sf_check_6_src != sf_check_6_dest:
        result_dict["CHECK_6"] = full_log["CHECK_6"]

    ### Check 7 MAIN -> ETL FACT_TIKTOK_TOP_CHART_ISRC (expected result: Counts match inside every step) ################################################
    tmp_sf_check_7 = snowflake_fetch_data(sql_queries.sf_check_7)
    sf_check_7_src = int(tmp_sf_check_7[0]['count'])
    sf_check_7_dest = int(tmp_sf_check_7[1]['count'])
    print(f"SRC_CHECK_7: - {sf_check_7_src}")
    print(f"DEST_CHECK_7: - {sf_check_7_dest}")
    full_log["CHECK_7"] = {'SRC_CHECK_7': sf_check_7_src, 'DEST_CHECK_7': sf_check_7_dest}

    if sf_check_7_src != sf_check_7_dest:
        result_dict["CHECK_7"] = full_log["CHECK_7"]

    ### Check 8 MAIN -> ETL FACT_TIKTOK_TOP_CHART_ISRC_LIFETIME (expected result: Counts match inside every step) ################################################
    tmp_sf_check_8 = snowflake_fetch_data(sql_queries.sf_check_8)
    sf_check_8_src = int(tmp_sf_check_8[0]['count'])
    sf_check_8_dest = int(tmp_sf_check_8[1]['count'])
    print(f"SRC_CHECK_8: - {sf_check_8_src}")
    print(f"DEST_CHECK_8: - {sf_check_8_dest}")
    full_log["CHECK_8"] = {'SRC_CHECK_8': sf_check_8_src, 'DEST_CHECK_8': sf_check_8_dest}

    if sf_check_8_src != sf_check_8_dest:
        result_dict["CHECK_8"] = full_log["CHECK_8"]

    ### Check 9 MAIN -> ETL DIM_TIKTOK_TOP_SONG (expected result: Counts match inside every step) ################################################
    tmp_sf_check_9 = snowflake_fetch_data(sql_queries.sf_check_9)
    sf_check_9_result = int(tmp_sf_check_9[0]['count'])
    print(f"SRC_CHECK_9: - {sf_check_9_result}")
    full_log["CHECK_9"] = {'SRC_CHECK_9': sf_check_9_result}

    if sf_check_9_result != 1:
        result_dict["CHECK_9"] = {'SRC_CHECK_9': 'FAILED: Query count does not return 1'}

    return result_dict, full_log


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

    result_dict_1_to_9, monitoring_1_to_9_log = check_1_to_9()
    message_dict['full_log'] = {**monitoring_1_to_9_log}
    message_dict['details'] = {**result_dict_1_to_9}

    if result_dict_1_to_9:
        postgres_update_failure_count(failure_count_increase)
        message_dict['status'] = "FAILED"
        message_dict['info'] = "Some steps failed"

    else:
        postgres_update_failure_count(failure_count_to_zero)
        message_dict['status'] = "OK"
        message_dict['info'] = "All step completed successfully"

    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/sme_max_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()