import logging
from typing import Union, List, Dict

from aiohttp.client import ClientSession
from bs4 import BeautifulSoup
from bs4.element import Tag
from webutils import in_async_session

from . import constants


log = logging.getLogger(__name__)

# The resulting dictionary's keys correspond to the name of the item (row) in the financial statement,
# while its values will always be tuples with a length corresponding to the number of periods (columns)
# and elements being the actual numbers, with the exception of the first key-value-pair, which will represent
# the end dates of the reporting periods as strings (either years or quarters).
ResultDict = dict[str, Union[tuple[int], tuple[str]]]


@in_async_session
async def soup_from_url(url: str, session: ClientSession = None) -> BeautifulSoup:
    """
    Requests a web page and turns the response text into BeautifulSoup.
    """
    async with session.get(url) as response:
        html = await response.text()
    return BeautifulSoup(html, constants.HTML_PARSER)


def extract_end_dates(soup: BeautifulSoup) -> tuple[str]:
    """
    Finds and returns the end dates of the reporting periods as strings (either years or quarters) from the page of a
    financial statement.
    """
    ths = soup.find('div', attrs={'class': 'financials'}).thead.find_all('th')
    return tuple(str(th.string).strip() for th in ths[1:-1])


def is_relevant_table_row(tr: Tag) -> bool:
    """
    Returns True if the item in the table row is marked as relevant. Additionally warns when an item is unknown.
    """
    item_name = str(tr.td.div.string).strip()
    try:
        return constants.FINANCIAL_STATEMENT_ITEMS[item_name]
    except KeyError:
        log.warning(f"Unknown item name '{item_name}' found in financial statement.")
        return False


def find_relevant_table_rows(soup: BeautifulSoup) -> List[Tag]:
    """
    Returns the table rows containing the data of interest.
    """
    trs = soup.find('div', attrs={'class': 'financials'}).tbody.find_all('tr')
    return [tr for tr in trs if is_relevant_table_row(tr)]


def extract_row_data(tr: Tag) -> tuple[str, tuple[int]]:
    """
    Returns the name of the item displayed in the table row (of a financial statement)
    as well as a number for each reporting period.
    """
    item_name = str(tr.td.div.string).strip()
    data_div = tr.find_all('td')[-1].div.div
    values_str: str = data_div.attrs['data-chart-data']
    values = tuple(int(float(s if s != '' else 0)) for s in values_str.split(','))
    return item_name, values


def extract_all_data(soup: BeautifulSoup) -> ResultDict:
    """
    Extracts financials from the page.
    """
    output = {constants.END_DATE: extract_end_dates(soup)}
    for row in find_relevant_table_rows(soup):
        row_data = extract_row_data(row)
        output[row_data[0]] = row_data[1]
    return output


@in_async_session
async def _get_financial_statement(statement: str, ticker_symbol: str, quarterly: bool = False, 
                                   session: ClientSession = None) -> ResultDict:
    """
    Returns data from the specified financial statement of the specified company.
    """
    url = f'{constants.BASE_URL}/{ticker_symbol}/financials{constants.FIN_STMT_URL_SUFFIX[statement]}'
    if quarterly:
        url += '/quarter'
    soup = await soup_from_url(url, session)
    return extract_all_data(soup)


@in_async_session
async def get_balance_sheet(*ticker_symbols: str, quarterly: bool = False,
                            session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
    """
    Returns data from the balance sheet of the specified company.
    """
    if len(ticker_symbols) == 1:
        return await _get_financial_statement(constants.BS, ticker_symbols[0], quarterly, session)
    return {
        sym: await _get_financial_statement(constants.BS, sym, quarterly, session)
        for sym in ticker_symbols
    }


@in_async_session
async def get_income_statement(*ticker_symbols: str, quarterly: bool = False,
                               session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
    """
    Returns data from the income statement of the specified company.
    """
    if len(ticker_symbols) == 1:
        return await _get_financial_statement(constants.IS, ticker_symbols[0], quarterly, session)
    return {
        sym: await _get_financial_statement(constants.IS, sym, quarterly, session)
        for sym in ticker_symbols
    }


@in_async_session
async def get_cash_flow_statement(*ticker_symbols: str, quarterly: bool = False,
                                  session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
    """
    Returns data from the cash flow statement of the specified company.
    """
    if len(ticker_symbols) == 1:
        return await _get_financial_statement(constants.CF, ticker_symbols[0], quarterly, session)
    return {
        sym: await _get_financial_statement(constants.CF, sym, quarterly, session)
        for sym in ticker_symbols
    }


@in_async_session
async def get_company_financials(*ticker_symbols: str, quarterly: bool = False,
                                 session: ClientSession = None) -> Union[Dict[str, ResultDict],
                                                                         Dict[str, Dict[str, ResultDict]]]:
    """
    Returns all fundamentals (balance sheet, income statement and cash flow statement) of the specified company.
    """
    if len(ticker_symbols) == 1:
        return {
            constants.BS: await get_balance_sheet(ticker_symbols[0], quarterly=quarterly, session=session),
            constants.IS: await get_income_statement(ticker_symbols[0], quarterly=quarterly, session=session),
            constants.CF: await get_cash_flow_statement(ticker_symbols[0], quarterly=quarterly, session=session)
        }
    return {
        sym: {
            constants.BS: await get_balance_sheet(sym, quarterly=quarterly, session=session),
            constants.IS: await get_income_statement(sym, quarterly=quarterly, session=session),
            constants.CF: await get_cash_flow_statement(sym, quarterly=quarterly, session=session)
        } for sym in ticker_symbols
    }