#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys

import getopt
from datetime import datetime

import pandas as pd

from sqlalchemy import create_engine

if __name__ == "__main__":

    #input params setup
    unixOptions = "sdt:edt"
    gnuOptions = ["start_dt=", "end_dt="]

    fullCmdArguments = sys.argv
    argumentList = fullCmdArguments[1:]    #excluding script name

    try:
        arguments, values = getopt.getopt(argumentList, unixOptions, gnuOptions)
    except getopt.error as err:
        # output error, and return with an error code
        print (str(err))
        sys.exit(2)

    start_dt = '1981-01-01'
    end_dt = '1998-01-01'
    for currentArgument, currentValue in arguments:
        if currentArgument in ("-sdt", "--start_dt"):
            start_dt = currentValue
        elif currentArgument in ("-edt", "--end_dt"):
            end_dt = currentValue

    db_config = {'user': 'my_user',
                 'pwd': 'my_user_password',
                 'host': 'localhost',
                 'port': 5432,
                 'db': 'games'}
    connection_string = 'postgresql://{}:{}@{}:{}/{}'.format(db_config['user'],
                                                             db_config['pwd'],
                                                             db_config['host'],
                                                             db_config['port'],
                                                             db_config['db'])

    engine = create_engine(connection_string)

    query = ''' SELECT *
                FROM data_raw
                WHERE year_of_release::TIMESTAMP BETWEEN '{}'::TIMESTAMP AND '{}'::TIMESTAMP
            '''.format(start_dt, end_dt)

    data_raw = pd.io.sql.read_sql(query, con = engine, index_col = 'game_id')

    columns_str = ['name', 'platform', 'genre', 'rating']
    columns_numeric = ['na_players', 'eu_players', 'jp_players', 'other_players', 'critic_score', 'user_score']
    columns_datetime = ['year_of_release']

    for column in columns_str: data_raw[column] = data_raw[column].astype(str)
    for column in columns_numeric: data_raw[column] = pd.to_numeric(data_raw[column], errors='coerce')
    for column in columns_datetime: data_raw[column] = pd.to_datetime(data_raw[column])
    data_raw['total_copies_sold'] = data_raw[['na_players', 'eu_players', 'jp_players', 'other_players']].sum(axis = 1)

    agg_games_year_genre_platform = data_raw.groupby(['year_of_release', 'genre', 'platform']).agg({'name': 'count', 'total_copies_sold': 'sum'})
    agg_games_year_score  = data_raw.groupby(['year_of_release', 'genre', 'platform']).agg({'critic_score': 'mean', 'user_score': 'mean'})

    agg_games_year_genre_platform = agg_games_year_genre_platform.rename(columns = {'name': 'count', 'total_copies_sold':'sum'})
    agg_games_year_score = agg_games_year_score.rename(columns = {'critic_score': 'avg_critic_score', 'user_score': 'avg_user_score'})

    agg_games_year_genre_platform = agg_games_year_genre_platform.fillna(0).reset_index()
    agg_games_year_score = agg_games_year_score.fillna(0).reset_index()

    tables = {'agg_games_year_genre_platform': 'agg_games_year_genre_platform',
              'agg_games_year_score': 'agg_games_year_score'}

    for table_name, table_data in tables.items():

        query = '''
                  DELETE FROM {} WHERE year_of_release BETWEEN '{}'::TIMESTAMP AND '{}'::TIMESTAMP
                '''.format(table_name, start_dt, end_dt)
        engine.execute(query)

        table_data.to_sql(name = table_name, con = engine, if_exists = 'append', index = False)

    print('All done.')