import abc
import dataclasses
import datetime
import re
from collections.abc import Iterator
from decimal import Decimal

import enforce_typing

## Ids

RE_TICKER_FORMAT = r'^[A-Z0-9_]+$'
RE_TICKER_FORMAT_FLEXIBLE = r'^[^:\s]+$'
RE_CRYPTO_TICKER_FORMAT = r'^\S+$'


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True)
class StockExchange:
    """Unified Stock Exchange identifiers."""

    name: str
    mic: str
    bloomberg_id: str | None = None
    crunchbase_id: str | None = None
    yahoo_id: str | None = None
    eod_id: str | None = None


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True)
class Asset:

    def names(self) -> list[str]:
        return COMMON_NAMES.get(self, [])

    def to_polygon_id(self) -> str:
        # TODO: Support currency pairs not involving USD.
        if isinstance(self, Stock):
            return f'{self.ticker}'
        if isinstance(self, Index):
            return f'I:{self.ticker}'
        if isinstance(self, FiatCurrency):
            return f'C:{self.iso_code}USD'
        if isinstance(self, CryptoCurrency):
            return f'X:{self.ccxt_symbol}USD'

        # Else
        msg = f'Unknown self type: {self}'
        raise Exception(msg)

    @staticmethod
    def from_polygon_id(polygon_id: str) -> 'Asset':
        if polygon_id.startswith('I:'):
            return Index(polygon_id.removeprefix('I:'))
        if polygon_id.startswith('X:'):
            return CryptoCurrency(
                polygon_id.removeprefix('X:').removesuffix('USD'),
                None,
            )
        if polygon_id.startswith('C:'):
            return FiatCurrency(polygon_id.removeprefix('C:').removesuffix('USD'))
        return Stock.from_polygon_id(polygon_id)


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True)
class Currency(Asset):
    pass


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, eq=True, order=True)
class FiatCurrency(Currency):
    iso_code: str

    def __post_init__(self):
        if not re.match(RE_TICKER_FORMAT, self.iso_code):
            msg = f'iso_code was not in correct format: {self.iso_code}'
            raise ValueError(msg)

    def __str__(self):
        return self.iso_code


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, eq=True)
class CryptoCurrency(Currency):
    ccxt_symbol: str
    coingecko_id: str | None

    def __post_init__(self):
        '''TODO
        if not re.match(RE_CRYPTO_TICKER_FORMAT, self.ccxt_symbol):
            msg = f'ccxt_symbol was not in correct format: {self.ccxt_symbol}'
            raise ValueError(msg)
        '''

    def __str__(self):
        return self.ccxt_symbol


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, eq=True)
class Stock(Asset):
    ticker: str
    exchange: StockExchange

    def __post_init__(self):
        if not re.match(RE_TICKER_FORMAT_FLEXIBLE, self.ticker):
            msg = f'ticker was not in correct format: {self.ticker}'
            raise ValueError(msg)

    def __str__(self):
        return f'{self.ticker}.{self.exchange.mic}'

    @staticmethod
    def from_polygon_id(polygon_id: str, stock_exchange: StockExchange) -> 'Stock':
        return Stock(polygon_id, stock_exchange)


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, eq=True)
class Index(Asset):
    ticker: str

    def __post_init__(self):
        if not re.match(RE_TICKER_FORMAT_FLEXIBLE, self.ticker):
            msg = f'ticker was not in correct format: {self.ticker}'
            raise ValueError(msg)

    def __str__(self):
        return self.ticker


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, eq=True)
class Commodity(Asset):
    alpha_vantage_id: str

    def __post_init__(self):
        if not re.match(RE_TICKER_FORMAT, self.alpha_vantage_id):
            msg = f'alpha_vantage_id was not in correct format: {self.alpha_vantage_id}'
            raise ValueError(msg)

    def __str__(self):
        return self.alpha_vantage_id


Commodity.CRUDE_OIL_WTI = Commodity('WTI')
Commodity.CRUDE_OIL_BRENT = Commodity('BRENT')
Commodity.NATURAL_GAS = Commodity('NATURAL_GAS')
Commodity.COPPER = Commodity('COPPER')
Commodity.WHEAT = Commodity('WHEAT')
Commodity.CORN = Commodity('CORN')
Commodity.COTTON = Commodity('COTTON')
Commodity.SUGAR = Commodity('SUGAR')
Commodity.COFFEE = Commodity('COFFEE')

# Well known

DKK = FiatCurrency('DKK')
USD = FiatCurrency('USD')
EUR = FiatCurrency('EUR')
BTC = CryptoCurrency('BTC', coingecko_id='bitcoin')
MPC = CryptoCurrency('MPC', coingecko_id='partisia-blockchain')
SPX = Index('SPX')
NDX = Index('NDX')

COMMON_NAMES: dict[Asset, list[str]] = {
    FiatCurrency('USD'): ['U.S. Dollar'],
    FiatCurrency('DKK'): ['Danske Kroner', 'Danish Crowns'],
    FiatCurrency('EUR'): ['Euro'],
    FiatCurrency('JPY'): ['Japanese Yen'],
    FiatCurrency('CAD'): ['Canadian Dollar'],
    FiatCurrency('GBP'): ['British Pound'],
    FiatCurrency('CNY'): ['Renminbi'],
    FiatCurrency('PLN'): ['Polish Zloty'],
    FiatCurrency('ILS'): ['Israeli new Shekel'],
    FiatCurrency('CHF'): ['Swiss Franc'],
    FiatCurrency('ZAR'): ['South African Rand'],
    FiatCurrency('CZK'): ['Czech Koruna'],
    SPX: ['Standard and Poor 500', 'S&P 500'],
    NDX: ['Nasdaq 100'],
    BTC: ['Bitcoin BTC'],
    MPC: ['Partisia Blockchain MPC Token'],
    CryptoCurrency('ETH', 'ethereum'): ['Ethereum Ether'],
    CryptoCurrency('DOGE', 'dogecoin'): ['Dogecoin'],
    CryptoCurrency('SOL', 'solana'): ['Solana SOL'],
    CryptoCurrency('ADA', 'cardano'): ['Cardano ADA'],
    CryptoCurrency('BNB', 'bnb'): ['Binance BNB'],
    CryptoCurrency('MATIC', 'polygon'): ['Polygon MATIC'],
    # Stable-coins
    CryptoCurrency('DAI', 'dai'): ['DAI'],
    CryptoCurrency('USDC', 'usdc'): ['USD Coin'],
    CryptoCurrency('USDT', 'tether'): ['Tether USDT'],
}

WELL_KNOWN_SYMBOLS = (
    {
        sym: FiatCurrency(sym)
        for sym in [
            'USD',
            'DKK',
            'EUR',
            'JPY',
            'CAD',
            'GBP',
            'CNY',
            'PLN',
            'ILS',
            'CHF',
            'ZAR',
            'CZK',
        ]
    }
    | {str(k): k for k in COMMON_NAMES}
    | {'SPX500': SPX, 'SP500': SPX, 'Nasdaq 100': NDX}
)

NYSE = StockExchange(
    name='New York Stock Exchange',
    mic='XNYS',
    bloomberg_id='UN',
    crunchbase_id='NYSE',
)

EXCHANGES = [
    NYSE,
    StockExchange(name='Nasdaq', mic='XNAS', bloomberg_id='US', crunchbase_id='NASDAQ'),
    StockExchange(
        name='Hong Kong Exchanges And Clearing',
        mic='XHKG',
        bloomberg_id='HK',
        crunchbase_id='SEHK',
    ),
    StockExchange(
        name='Moscow Exchange',
        mic='MISC',
        bloomberg_id='RX',
        yahoo_id='ME',
        eod_id='MCX',
        crunchbase_id='MOEX',
    ),
    StockExchange(name='Shanghai Stock Exchange', mic='XSHG'),
    StockExchange(name='Euronext Amsterdam', mic='XAMS'),
    StockExchange(name='Euronext Brussels', mic='XBRU'),
    StockExchange(name='Euronext Dublin', mic='XMSM'),
    StockExchange(name='Euronext Lisbon', mic='XLIS'),
    StockExchange(name='Euronext Milan', mic='XMIL'),
    StockExchange(name='Euronext Oslo', mic='XOSL'),
    StockExchange(name='Euronext Paris', mic='XPAR'),
    StockExchange(name='Japan Exchange Group', mic='XJPX'),
    StockExchange(name='Shenzhen Stock Exchange', mic='XSHE'),
    StockExchange(name='Indian National Stock Exchange', mic='XNSE'),
    StockExchange(
        name='Bombay Stock Exchange',
        mic='XBOM',
        bloomberg_id='IB',
        crunchbase_id='BOM',
        yahoo_id='BO',
    ),
    StockExchange(name='Toronto Stock Exchange', mic='XTSE'),
    StockExchange(name='London Stock Exchange', mic='XLON'),
    StockExchange(name='Saudi Stock Exchange', mic='XSAU'),
    StockExchange(name='German Stock Exchange', mic='XFRA'),
    StockExchange(name='SIX Swiss Exchange', mic='XSWX'),
    StockExchange(name='Nasdaq Copenhagen Stock Exchange', mic='XCSE'),
    StockExchange(name='Nasdaq Stockholm Stock Exchange', mic='XSTO'),
    StockExchange(name='Nasdaq Helsinki Stock Exchange', mic='XHEL'),
    StockExchange(name='Nasdaq Tallinn Stock Exchange', mic='XTAL'),
    StockExchange(name='Nasdaq Riga Stock Exchange', mic='XRIS'),
    StockExchange(name='Nasdaq Vilnius Stock Exchange', mic='XLIT'),
    StockExchange(name='Nasdaq Iceland Stock Exchange', mic='XICE'),
    StockExchange(name='Korea Exchange', mic='XKOS'),
    StockExchange(name='Taiwan Stock Exchange', mic='XTAI'),
    StockExchange(name='Australian Securities Exchange', mic='XASX'),
    StockExchange(name='Johannesburg Stock Exchange', mic='XJSE'),
    StockExchange(name='Tehran Stock Exchange', mic='XTEH'),
]

EXCHANGES_BY_IDS = {}
if True:

    def add_by_id(exchange: StockExchange, key: str):
        exchange_id = getattr(exchange, key)
        if exchange_id is not None:
            if exchange_id in EXCHANGES_BY_IDS:
                msg = f'Exchange {exchange_id} is already present'
                raise ValueError(msg)
            EXCHANGES_BY_IDS[exchange_id] = exchange

    for exchange in EXCHANGES:
        add_by_id(exchange, 'mic')
        add_by_id(exchange, 'bloomberg_id')
        add_by_id(exchange, 'crunchbase_id')
        add_by_id(exchange, 'yahoo_id')
        add_by_id(exchange, 'eod_id')
        del exchange
    del add_by_id


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, slots=True)
class AssetInformation:
    """Extensive information about a given asset."""

    asset: Asset
    full_name: str
    description: str | None = None
    asset_base: Asset | None = None
    sec_cik: str | None = None
    # TODO: FIGI types? (https://www.openfigi.com/)


@enforce_typing.enforce_types
@dataclasses.dataclass(frozen=True, eq=True, slots=True)
class AssetAmount:
    """Decimal with associated asset unit."""

    asset: Asset
    amount: Decimal

    def __str__(self):
        specificity = '2' if self.amount >= 0.10 else '3'
        return ('{:.' + specificity + 'f} {}').format(self.amount, self.asset)

    def __mul__(self, other: Decimal):
        if not isinstance(other, Decimal):
            msg = f'other must be decimal, but was {type(other)}'
            raise TypeError(msg)
        return AssetAmount(self.asset, self.amount * other)

    def __add__(self, other):
        if not isinstance(other, AssetAmount):
            msg = f'other must be AssetAmount, but was {type(other)}'
            raise TypeError(msg)
        if self.asset != other.asset:
            msg = (
                f'AssetAmount must have same asset, but: {self.asset} != {other.asset}'
            )
            raise ValueError(msg)

        return AssetAmount(self.asset, self.amount + other.amount)

    def __sub__(self, other):
        if not isinstance(other, AssetAmount):
            msg = f'other must be AssetAmount, but was {type(other)}'
            raise TypeError(msg)
        if self.asset != other.asset:
            msg = (
                f'AssetAmount must have same asset, but: {self.asset} != {other.asset}'
            )
            raise ValueError(msg)
        return AssetAmount(self.asset, self.amount - other.amount)

    def __truediv__(self, other):
        if isinstance(other, AssetAmount):
            if self.asset != other.asset:
                msg = f'AssetAmount must have same asset, but: {self.asset} != {other.asset}'
                raise ValueError(msg)
            return self.amount / other.amount
        return AssetAmount(self.asset, self.amount / other)

    def __lt__(self, other):
        if not isinstance(other, AssetAmount):
            msg = f'other must be AssetAmount, but was {type(other)}'
            raise TypeError(msg)
        if self.asset != other.asset:
            msg = (
                f'AssetAmount must have same asset, but: {self.asset} != {other.asset}'
            )
            raise ValueError(msg)
        return self.amount < other.amount


@dataclasses.dataclass(frozen=True, eq=True)
class ExchangeRateSample(Asset):
    """Single exchange rate sample with a timestamp and various stats."""

    timestamp: datetime.date | datetime.datetime
    _average: Decimal | None = None
    last: Decimal | None = None
    open: Decimal | None = None
    close: Decimal | None = None
    high: Decimal | None = None
    low: Decimal | None = None
    volume: Decimal | None = None
    market_cap: Decimal | None = None

    @property
    def average(self) -> Decimal:
        if self._average:
            return self._average
        return (self.high + self.low) / 2

    def replace_timestamp(self, timestamp):
        return dataclasses.replace(self, timestamp=timestamp)

    def invert_exchange_rate(self):
        one = Decimal('1')
        return dataclasses.replace(
            self,
            _average=one / self._average if self._average else None,
            last=one / self.last if self.last else None,
            open=one / self.open if self.open else None,
            close=one / self.close if self.close else None,
            high=one / self.low if self.low else None,
            low=one / self.high if self.high else None,
            # TODO: Support volume
            # TODO: Support market_cap
        )