# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import asyncio
from decimal import Decimal

from pyignite import AioClient


COUNTRY_TABLE_NAME = 'Country'
CITY_TABLE_NAME = 'City'
LANGUAGE_TABLE_NAME = 'CountryLanguage'

COUNTRY_CREATE_TABLE_QUERY = '''CREATE TABLE Country (
    Code CHAR(3) PRIMARY KEY,
    Name CHAR(52),
    Continent CHAR(50),
    Region CHAR(26),
    SurfaceArea DECIMAL(10,2),
    IndepYear SMALLINT(6),
    Population INT(11),
    LifeExpectancy DECIMAL(3,1),
    GNP DECIMAL(10,2),
    GNPOld DECIMAL(10,2),
    LocalName CHAR(45),
    GovernmentForm CHAR(45),
    HeadOfState CHAR(60),
    Capital INT(11),
    Code2 CHAR(2)
)'''

COUNTRY_INSERT_QUERY = '''INSERT INTO Country(
    Code, Name, Continent, Region,
    SurfaceArea, IndepYear, Population,
    LifeExpectancy, GNP, GNPOld,
    LocalName, GovernmentForm, HeadOfState,
    Capital, Code2
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)'''

CITY_CREATE_TABLE_QUERY = '''CREATE TABLE City (
    ID INT(11),
    Name CHAR(35),
    CountryCode CHAR(3),
    District CHAR(20),
    Population INT(11),
    PRIMARY KEY (ID, CountryCode)
) WITH "affinityKey=CountryCode"'''

CITY_CREATE_INDEX = '''
CREATE INDEX idx_country_code ON city (CountryCode)'''

CITY_INSERT_QUERY = '''INSERT INTO City(
    ID, Name, CountryCode, District, Population
) VALUES (?, ?, ?, ?, ?)'''

LANGUAGE_CREATE_TABLE_QUERY = '''CREATE TABLE CountryLanguage (
    CountryCode CHAR(3),
    Language CHAR(30),
    IsOfficial BOOLEAN,
    Percentage DECIMAL(4,1),
    PRIMARY KEY (CountryCode, Language)
) WITH "affinityKey=CountryCode"'''

LANGUAGE_CREATE_INDEX = '''
CREATE INDEX idx_lang_country_code ON CountryLanguage (CountryCode)'''

LANGUAGE_INSERT_QUERY = '''INSERT INTO CountryLanguage(
    CountryCode, Language, IsOfficial, Percentage
) VALUES (?, ?, ?, ?)'''

DROP_TABLE_QUERY = '''DROP TABLE {} IF EXISTS'''

COUNTRY_DATA = [
    [
        'USA', 'United States', 'North America', 'North America',
        Decimal('9363520.00'), 1776, 278357000,
        Decimal('77.1'), Decimal('8510700.00'), Decimal('8110900.00'),
        'United States', 'Federal Republic', 'George W. Bush',
        3813, 'US',
    ],
    [
        'IND', 'India', 'Asia', 'Southern and Central Asia',
        Decimal('3287263.00'), 1947, 1013662000,
        Decimal('62.5'), Decimal('447114.00'), Decimal('430572.00'),
        'Bharat/India', 'Federal Republic', 'Kocheril Raman Narayanan',
        1109, 'IN',
    ],
    [
        'CHN', 'China', 'Asia', 'Eastern Asia',
        Decimal('9572900.00'), -1523, 1277558000,
        Decimal('71.4'), Decimal('982268.00'), Decimal('917719.00'),
        'Zhongquo', 'PeoplesRepublic', 'Jiang Zemin',
        1891, 'CN',
    ],
]

CITY_DATA = [
    [3793, 'New York', 'USA', 'New York', 8008278],
    [3794, 'Los Angeles', 'USA', 'California', 3694820],
    [3795, 'Chicago', 'USA', 'Illinois', 2896016],
    [3796, 'Houston', 'USA', 'Texas', 1953631],
    [3797, 'Philadelphia', 'USA', 'Pennsylvania', 1517550],
    [3798, 'Phoenix', 'USA', 'Arizona', 1321045],
    [3799, 'San Diego', 'USA', 'California', 1223400],
    [3800, 'Dallas', 'USA', 'Texas', 1188580],
    [3801, 'San Antonio', 'USA', 'Texas', 1144646],
    [3802, 'Detroit', 'USA', 'Michigan', 951270],
    [3803, 'San Jose', 'USA', 'California', 894943],
    [3804, 'Indianapolis', 'USA', 'Indiana', 791926],
    [3805, 'San Francisco', 'USA', 'California', 776733],
    [1024, 'Mumbai (Bombay)', 'IND', 'Maharashtra', 10500000],
    [1025, 'Delhi', 'IND', 'Delhi', 7206704],
    [1026, 'Calcutta [Kolkata]', 'IND', 'West Bengali', 4399819],
    [1027, 'Chennai (Madras)', 'IND', 'Tamil Nadu', 3841396],
    [1028, 'Hyderabad', 'IND', 'Andhra Pradesh', 2964638],
    [1029, 'Ahmedabad', 'IND', 'Gujarat', 2876710],
    [1030, 'Bangalore', 'IND', 'Karnataka', 2660088],
    [1031, 'Kanpur', 'IND', 'Uttar Pradesh', 1874409],
    [1032, 'Nagpur', 'IND', 'Maharashtra', 1624752],
    [1033, 'Lucknow', 'IND', 'Uttar Pradesh', 1619115],
    [1034, 'Pune', 'IND', 'Maharashtra', 1566651],
    [1035, 'Surat', 'IND', 'Gujarat', 1498817],
    [1036, 'Jaipur', 'IND', 'Rajasthan', 1458483],
    [1890, 'Shanghai', 'CHN', 'Shanghai', 9696300],
    [1891, 'Peking', 'CHN', 'Peking', 7472000],
    [1892, 'Chongqing', 'CHN', 'Chongqing', 6351600],
    [1893, 'Tianjin', 'CHN', 'Tianjin', 5286800],
    [1894, 'Wuhan', 'CHN', 'Hubei', 4344600],
    [1895, 'Harbin', 'CHN', 'Heilongjiang', 4289800],
    [1896, 'Shenyang', 'CHN', 'Liaoning', 4265200],
    [1897, 'Kanton [Guangzhou]', 'CHN', 'Guangdong', 4256300],
    [1898, 'Chengdu', 'CHN', 'Sichuan', 3361500],
    [1899, 'Nanking [Nanjing]', 'CHN', 'Jiangsu', 2870300],
    [1900, 'Changchun', 'CHN', 'Jilin', 2812000],
    [1901, 'Xi´an', 'CHN', 'Shaanxi', 2761400],
    [1902, 'Dalian', 'CHN', 'Liaoning', 2697000],
    [1903, 'Qingdao', 'CHN', 'Shandong', 2596000],
    [1904, 'Jinan', 'CHN', 'Shandong', 2278100],
    [1905, 'Hangzhou', 'CHN', 'Zhejiang', 2190500],
    [1906, 'Zhengzhou', 'CHN', 'Henan', 2107200],
]

LANGUAGE_DATA = [
    ['USA', 'Chinese', False, Decimal('0.6')],
    ['USA', 'English', True, Decimal('86.2')],
    ['USA', 'French', False, Decimal('0.7')],
    ['USA', 'German', False, Decimal('0.7')],
    ['USA', 'Italian', False, Decimal('0.6')],
    ['USA', 'Japanese', False, Decimal('0.2')],
    ['USA', 'Korean', False, Decimal('0.3')],
    ['USA', 'Polish', False, Decimal('0.3')],
    ['USA', 'Portuguese', False, Decimal('0.2')],
    ['USA', 'Spanish', False, Decimal('7.5')],
    ['USA', 'Tagalog', False, Decimal('0.4')],
    ['USA', 'Vietnamese', False, Decimal('0.2')],
    ['IND', 'Asami', False, Decimal('1.5')],
    ['IND', 'Bengali', False, Decimal('8.2')],
    ['IND', 'Gujarati', False, Decimal('4.8')],
    ['IND', 'Hindi', True, Decimal('39.9')],
    ['IND', 'Kannada', False, Decimal('3.9')],
    ['IND', 'Malajalam', False, Decimal('3.6')],
    ['IND', 'Marathi', False, Decimal('7.4')],
    ['IND', 'Orija', False, Decimal('3.3')],
    ['IND', 'Punjabi', False, Decimal('2.8')],
    ['IND', 'Tamil', False, Decimal('6.3')],
    ['IND', 'Telugu', False, Decimal('7.8')],
    ['IND', 'Urdu', False, Decimal('5.1')],
    ['CHN', 'Chinese', True, Decimal('92.0')],
    ['CHN', 'Dong', False, Decimal('0.2')],
    ['CHN', 'Hui', False, Decimal('0.8')],
    ['CHN', 'Mantšu', False, Decimal('0.9')],
    ['CHN', 'Miao', False, Decimal('0.7')],
    ['CHN', 'Mongolian', False, Decimal('0.4')],
    ['CHN', 'Puyi', False, Decimal('0.2')],
    ['CHN', 'Tibetan', False, Decimal('0.4')],
    ['CHN', 'Tujia', False, Decimal('0.5')],
    ['CHN', 'Uighur', False, Decimal('0.6')],
    ['CHN', 'Yi', False, Decimal('0.6')],
    ['CHN', 'Zhuang', False, Decimal('1.4')],
]


async def main():
    # establish connection
    client = AioClient()
    async with client.connect('127.0.0.1', 10800):
        # create tables
        for query in [
            COUNTRY_CREATE_TABLE_QUERY,
            CITY_CREATE_TABLE_QUERY,
            LANGUAGE_CREATE_TABLE_QUERY,
        ]:
            await client.sql(query)

        # create indices
        for query in [CITY_CREATE_INDEX, LANGUAGE_CREATE_INDEX]:
            await client.sql(query)

        # load data concurrently.
        await asyncio.gather(*[
            client.sql(COUNTRY_INSERT_QUERY, query_args=row) for row in COUNTRY_DATA
        ])

        await asyncio.gather(*[
            client.sql(CITY_INSERT_QUERY, query_args=row) for row in CITY_DATA
        ])

        await asyncio.gather(*[
            client.sql(LANGUAGE_INSERT_QUERY, query_args=row) for row in LANGUAGE_DATA
        ])

        # 10 most populated cities (with pagination)
        MOST_POPULATED_QUERY = '''
        SELECT name, population FROM City ORDER BY population DESC LIMIT 10'''

        async with client.sql(MOST_POPULATED_QUERY) as cursor:
            print('Most 10 populated cities:')

            async for row in cursor:
                print(row)
        # Most 10 populated cities:
        # ['Mumbai (Bombay)', 10500000]
        # ['Shanghai', 9696300]
        # ['New York', 8008278]
        # ['Peking', 7472000]
        # ['Delhi', 7206704]
        # ['Chongqing', 6351600]
        # ['Tianjin', 5286800]
        # ['Calcutta [Kolkata]', 4399819]
        # ['Wuhan', 4344600]
        # ['Harbin', 4289800]

        # 10 most populated cities in 3 countries (with pagination and header row)
        MOST_POPULATED_IN_3_COUNTRIES_QUERY = '''
        SELECT country.name as country_name, city.name as city_name, MAX(city.population) AS max_pop FROM country
            JOIN city ON city.countrycode = country.code
            WHERE country.code IN ('USA','IND','CHN')
            GROUP BY country.name, city.name ORDER BY max_pop DESC LIMIT 10
        '''

        async with client.sql(MOST_POPULATED_IN_3_COUNTRIES_QUERY, include_field_names=True) as cursor:
            print('Most 10 populated cities in USA, India and China:')
            print(await cursor.__anext__())
            print('----------------------------------------')
            async for row in cursor:
                print(row)
        # Most 10 populated cities in USA, India and China:
        # ['COUNTRY_NAME', 'CITY_NAME', 'MAX_POP']
        # ----------------------------------------
        # ['India', 'Mumbai (Bombay)', 10500000]
        # ['China', 'Shanghai', 9696300]
        # ['United States', 'New York', 8008278]
        # ['China', 'Peking', 7472000]
        # ['India', 'Delhi', 7206704]
        # ['China', 'Chongqing', 6351600]
        # ['China', 'Tianjin', 5286800]
        # ['India', 'Calcutta [Kolkata]', 4399819]
        # ['China', 'Wuhan', 4344600]
        # ['China', 'Harbin', 4289800]

        # show city info
        CITY_INFO_QUERY = '''SELECT * FROM City WHERE id = ?'''

        async with client.sql(CITY_INFO_QUERY, query_args=[3802], include_field_names=True) as cursor:
            field_names = await cursor.__anext__()
            field_data = await cursor.__anext__()

            print('City info:')
            for field_name, field_value in zip(field_names * len(field_data), field_data):
                print('{}: {}'.format(field_name, field_value))
        # City info:
        # ID: 3802
        # NAME: Detroit
        # COUNTRYCODE: USA
        # DISTRICT: Michigan
        # POPULATION: 951270

        # clean up concurrently.
        await asyncio.gather(*[
            client.sql(DROP_TABLE_QUERY.format(table_name)) for table_name in [
                CITY_TABLE_NAME,
                LANGUAGE_TABLE_NAME,
                COUNTRY_TABLE_NAME,
            ]
        ])


loop = asyncio.get_event_loop()
loop.run_until_complete(main())