#! /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_main = config['postgres_main']["database"]
db_user_main = config['postgres_main']["user"]
db_password_main = config['postgres_main']["password"]
db_host_main = config['postgres_main']["host"]
db_port_main = config['postgres_main']["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 = 'amznplylst';"
failure_count_to_zero = "UPDATE failed_count SET failed_count = 0, last = 'OK', last_updated = NOW() WHERE count_id = 'amznplylst';"

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] Amazon Playlists"
    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_main(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name_main, user=db_user_main, password=db_password_main, host=db_host_main, port=db_port_main)) 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_2_to_5() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 2 DS_CHARTMETRIC → RAW - AMAZON_PLAYLIST (expected result: Counts match inside every step) ################################################
    tmp_sf_check_2 = snowflake_fetch_data(sql_queries.sf_check_2)
    sf_check_2_src = int(tmp_sf_check_2[1]['count'])
    sf_check_2_dest = int(tmp_sf_check_2[0]['count'])
    print(f"SRC_CHECK_2: - {sf_check_2_src}")
    print(f"DEST_CHECK_2: - {sf_check_2_dest}")
    full_log["CHECK_2"] = {'SRC_CHECK_2': sf_check_2_src, 'DEST_CHECK_2': sf_check_2_dest}

    if sf_check_2_src != sf_check_2_dest:
        result_dict["CHECK_2"] = full_log["CHECK_2"]

    ### Check 3 DS_CHARTMETRIC → RAW - AMAZON (expected result: Counts match inside every step) ################################################
    tmp_sf_check_3 = snowflake_fetch_data(sql_queries.sf_check_3)
    sf_check_3_src = int(tmp_sf_check_3[1]['count'])
    sf_check_3_dest = int(tmp_sf_check_3[0]['count'])
    print(f"SRC_CHECK_3: - {sf_check_3_src}")
    print(f"DEST_CHECK_3: - {sf_check_3_dest}")
    full_log["CHECK_3"] = {'SRC_CHECK_3': sf_check_3_src, 'DEST_CHECK_3': sf_check_3_dest}

    if sf_check_3_src != sf_check_3_dest:
        result_dict["CHECK_3"] = full_log["CHECK_3"]

    ### Check 4 DS_CHARTMETRIC → RAW - L_CM_AMAZON_PLAYLIST (expected result: Counts match inside every step) ################################################
    tmp_sf_check_4 = snowflake_fetch_data(sql_queries.sf_check_4)
    sf_check_4_src = int(tmp_sf_check_4[1]['count'])
    sf_check_4_dest = int(tmp_sf_check_4[0]['count'])
    print(f"SRC_CHECK_4: - {sf_check_4_src}")
    print(f"DEST_CHECK_4: - {sf_check_4_dest}")
    full_log["CHECK_4"] = {'SRC_CHECK_4': sf_check_4_src, 'DEST_CHECK_4': sf_check_4_dest}

    if sf_check_4_src != sf_check_4_dest:
        result_dict["CHECK_4"] = full_log["CHECK_4"]

    ### Check 5 DS_CHARTMETRIC → RAW - L_AMAZON_PLAYLIST (expected result: Result <= 0,05) ################################################
    tmp_sf_check_5 = snowflake_fetch_data(sql_queries.sf_check_5)
    sf_check_5_resul = float(tmp_sf_check_5[0]['count'])
    print(f"CHECK_5: - {sf_check_5_resul}")
    full_log["CHECK_5"] = {'CHECK_5_RESULT': sf_check_5_resul}

    if sf_check_5_resul > 0.05:
        result_dict["CHECK_5"] = full_log["CHECK_5"]

    return result_dict, full_log

def check_6_to_20() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 6 RAW → MAIN - PLAYLIST_AMAZON_TRACK_POSITION (expected result: Count == 0) ################################################
    tmp_sf_check_6 = snowflake_fetch_data(sql_queries.sf_check_6)
    sf_check_6_resul = int(tmp_sf_check_6[0]['count'])
    print(f"CHECK_6: - {sf_check_6_resul}")
    full_log["CHECK_6"] = {'CHECK_6_RESULT': sf_check_6_resul}

    if sf_check_6_resul != 0:
        result_dict["CHECK_6"] = full_log["CHECK_6"]

    ### Check 7 MAIN → MAIN - PLAYLIST_AMAZON_TRACK_POSITION (expected result: Result > 0 ) ################################################
    tmp_sf_check_7 = snowflake_fetch_data(sql_queries.sf_check_7)
    sf_check_7_resul = int(tmp_sf_check_7[0]['count'])
    print(f"CHECK_7: - {sf_check_7_resul}")
    full_log["CHECK_7"] = {'CHECK_7_RESULT': sf_check_7_resul}

    if sf_check_7_resul < 0:
        result_dict["CHECK_7"] = full_log["CHECK_7"]

    ### Check 8 MAIN → MAIN - AMAZON_PLAYLIST_DAILY_META (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 → MAIN - AMAZON_PLAYLIST_DAILY_META (expected result: Counts match inside every step) ################################################
    tmp_sf_check_9 = snowflake_fetch_data(sql_queries.sf_check_9)
    sf_check_9_src = int(tmp_sf_check_9[0]['count'])
    sf_check_9_dest = int(tmp_sf_check_9[1]['count'])
    print(f"SRC_CHECK_9: - {sf_check_9_src}")
    print(f"DEST_CHECK_9: - {sf_check_9_dest}")
    full_log["CHECK_9"] = {'SRC_CHECK_9': sf_check_9_src, 'DEST_CHECK_9': sf_check_9_dest}

    if sf_check_9_src != sf_check_9_dest:
        result_dict["CHECK_9"] = full_log["CHECK_9"]

    ### Check 10 MAIN → MAIN - AMAZON_PLAYLIST_LIFETIME (expected result: Counts match inside every step) ################################################
    tmp_sf_check_10 = snowflake_fetch_data(sql_queries.sf_check_10)
    sf_check_10_src = int(tmp_sf_check_10[0]['count'])
    sf_check_10_dest = int(tmp_sf_check_10[1]['count'])
    print(f"SRC_CHECK_10: - {sf_check_10_src}")
    print(f"DEST_CHECK_10: - {sf_check_10_dest}")
    full_log["CHECK_10"] = {'SRC_CHECK_10': sf_check_10_src, 'DEST_CHECK_10': sf_check_10_dest}

    if sf_check_10_src != sf_check_10_dest:
        result_dict["CHECK_10"] = full_log["CHECK_10"]

    ### Check 11 MAIN → MAIN - CV_AMAZON_PLAYLIST_ID_MAPPING (expected result: Counts match inside every step) ################################################
    tmp_sf_check_11 = snowflake_fetch_data(sql_queries.sf_check_11)
    sf_check_11_src = int(tmp_sf_check_11[0]['count'])
    sf_check_11_dest = int(tmp_sf_check_11[1]['count'])
    print(f"SRC_CHECK_11: - {sf_check_11_src}")
    print(f"DEST_CHECK_11: - {sf_check_11_dest}")
    full_log["CHECK_11"] = {'SRC_CHECK_11': sf_check_11_src, 'DEST_CHECK_11': sf_check_11_dest}

    if sf_check_11_src != sf_check_11_dest:
        result_dict["CHECK_11"] = full_log["CHECK_11"]

    ### Check 12 RAW AMAZON → MAIN - DIM_AMAZON_TRACK (expected result: Counts match inside every step) ################################################
    tmp_sf_check_12 = snowflake_fetch_data(sql_queries.sf_check_12)
    sf_check_12_src = int(tmp_sf_check_12[0]['count'])
    sf_check_12_dest = int(tmp_sf_check_12[1]['count'])
    print(f"SRC_CHECK_12: - {sf_check_12_src}")
    print(f"DEST_CHECK_12: - {sf_check_12_dest}")
    full_log["CHECK_12"] = {'SRC_CHECK_12': sf_check_12_src, 'DEST_CHECK_12': sf_check_12_dest}

    if sf_check_12_src != sf_check_12_dest:
        result_dict["CHECK_12"] = full_log["CHECK_12"]

    ### Check 13 MAIN → ETL - AMAZON_PLAYLIST_DAILY_META (expected result: Counts match inside every step) ################################################
    tmp_sf_check_13 = snowflake_fetch_data(sql_queries.sf_check_13)
    sf_check_13_src = int(tmp_sf_check_13[0]['count'])
    sf_check_13_dest = int(tmp_sf_check_13[1]['count'])
    print(f"SRC_CHECK_13: - {sf_check_13_src}")
    print(f"DEST_CHECK_13: - {sf_check_13_dest}")
    full_log["CHECK_13"] = {'SRC_CHECK_13': sf_check_13_src, 'DEST_CHECK_13': sf_check_13_dest}

    if sf_check_13_src != sf_check_13_dest:
        result_dict["CHECK_13"] = full_log["CHECK_13"]

    ### Check 14 MAIN → ETL - AMAZON_PLAYLIST_LIFETIME (expected result: Counts match inside every step) ################################################
    tmp_sf_check_14 = snowflake_fetch_data(sql_queries.sf_check_14)
    sf_check_14_src = int(tmp_sf_check_14[0]['count'])
    sf_check_14_dest = int(tmp_sf_check_14[1]['count'])
    print(f"SRC_CHECK_14: - {sf_check_14_src}")
    print(f"DEST_CHECK_14: - {sf_check_14_dest}")
    full_log["CHECK_14"] = {'SRC_CHECK_14': sf_check_14_src, 'DEST_CHECK_14': sf_check_14_dest}

    if sf_check_14_src != sf_check_14_dest:
        result_dict["CHECK_14"] = full_log["CHECK_14"]

    ### Check 15 MAIN → ETL - CM_AMAZON_PLAYLIST_ID_MAPPING (expected result: Counts match inside every step) ################################################
    tmp_sf_check_15 = snowflake_fetch_data(sql_queries.sf_check_15)
    sf_check_15_src = int(tmp_sf_check_15[0]['count'])
    sf_check_15_dest = int(tmp_sf_check_15[1]['count'])
    print(f"SRC_CHECK_15: - {sf_check_15_src}")
    print(f"DEST_CHECK_15: - {sf_check_15_dest}")
    full_log["CHECK_15"] = {'SRC_CHECK_15': sf_check_15_src, 'DEST_CHECK_15': sf_check_15_dest}

    if sf_check_15_src != sf_check_15_dest:
        result_dict["CHECK_15"] = full_log["CHECK_15"]

    ### Check 16 MAIN → ETL - DIM_AMAZON_PLAYLIST (expected result: Counts match inside every step) ################################################
    tmp_sf_check_16 = snowflake_fetch_data(sql_queries.sf_check_16)
    sf_check_16_src = int(tmp_sf_check_16[0]['count'])
    sf_check_16_dest = int(tmp_sf_check_16[1]['count'])
    print(f"SRC_CHECK_16: - {sf_check_16_src}")
    print(f"DEST_CHECK_16: - {sf_check_16_dest}")
    full_log["CHECK_16"] = {'SRC_CHECK_16': sf_check_16_src, 'DEST_CHECK_16': sf_check_16_dest}

    if sf_check_16_src != sf_check_16_dest:
        result_dict["CHECK_16"] = full_log["CHECK_16"]

    ### Check 17 MAIN → ETL - DIM_AMAZON_TRACK (expected result: Counts match inside every step) ################################################
    tmp_sf_check_17 = snowflake_fetch_data(sql_queries.sf_check_17)
    sf_check_17_src = int(tmp_sf_check_17[0]['count'])
    sf_check_17_dest = int(tmp_sf_check_17[1]['count'])
    print(f"SRC_CHECK_17: - {sf_check_17_src}")
    print(f"DEST_CHECK_17: - {sf_check_17_dest}")
    full_log["CHECK_17"] = {'SRC_CHECK_17': sf_check_17_src, 'DEST_CHECK_17': sf_check_17_dest}

    if sf_check_17_src != sf_check_17_dest:
        result_dict["CHECK_17"] = full_log["CHECK_17"]

    ### Check 19 MAIN → ETL - AMAZON_PLAYLIST_DAILY_META (expected result: Counts match between steps) ################################################
    tmp_sf_check_19 = snowflake_fetch_data(sql_queries.sf_check_19)
    tmp_pg_check_19 = postgres_fetch_data_main(sql_queries.pg_check_19)
    sf_check_19_count = int(tmp_sf_check_19[0]['count'])
    pg_check_19_count = int(tmp_pg_check_19[0]['count'])
    print(f"SRC_CHECK_19: - {sf_check_19_count}")
    print(f"DEST_CHECK_19: - {pg_check_19_count}")
    full_log["CHECK_19"] = {'SRC_CHECK_19': sf_check_19_count, 'DEST_CHECK_19': pg_check_19_count}

    if sf_check_19_count != pg_check_19_count:
        result_dict["CHECK_19"] = full_log["CHECK_19"]

    ### Check 20 MAIN → ETL - AMAZON_PLAYLIST_LIFETIME (expected result: Counts match between steps) ################################################
    tmp_sf_check_20 = snowflake_fetch_data(sql_queries.sf_check_20)
    tmp_pg_check_20 = postgres_fetch_data_main(sql_queries.pg_check_20)
    sf_check_20_count = int(tmp_sf_check_20[0]['count'])
    pg_check_20_count = int(tmp_pg_check_20[0]['count'])
    print(f"SRC_CHECK_20: - {sf_check_20_count}")
    print(f"DEST_CHECK_20: - {pg_check_20_count}")
    full_log["CHECK_20"] = {'SRC_CHECK_20': sf_check_20_count, 'DEST_CHECK_20': pg_check_20_count}

    if sf_check_20_count != pg_check_20_count:
        result_dict["CHECK_20"] = full_log["CHECK_20"]

    return result_dict, full_log

################# run the all steps ######################
def run_steps() -> dict:
    message_dict = {'name':"[PROD] Amazon Playlists",'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_2_to_5, monitoring_2_to_5_log = check_2_to_5()
    result_dict_6_to_20, monitoring_6_to_20_log = check_6_to_20()
    message_dict['full_log'] = {**monitoring_2_to_5_log, **monitoring_6_to_20_log}
    message_dict['details'] = {**result_dict_2_to_5, **result_dict_6_to_20}

    if result_dict_2_to_5:
        postgres_update_failure_count(failure_count_increase)
        message_dict['status'] = "FAILED"
        message_dict['info'] = "Data is partially synced with Chartmetric"
    elif result_dict_6_to_20:
        postgres_update_failure_count(failure_count_increase)
        message_dict['status'] = "FAILED"
        message_dict['info'] = "Data is synced with Chartmetric and partially available in API"
    else:
        postgres_update_failure_count(failure_count_to_zero)
        message_dict['status'] = "OK"
        message_dict['info'] = "Data is synced with Chartmetric and available in API"

    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/Amazon_Playlists_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()