daniil-berg/mwfin
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concurrency for getting all three financial statements; improved imports; renamed functions

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This commit is contained in:
Daniel Fainberg
2021-12-03 15:38:21 +01:00
parent 8d18e03018
commit 55a56c2f9c
5 changed files with 45 additions and 44 deletions
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2
src/mwfin/__init__.py
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@ -1 +1 @@
from .functions import get_company_financials
from .functions import get_balance_sheet, get_income_statement, get_cash_flow_statement, get_all_financials

4
src/mwfin/__main__.py
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@ -6,7 +6,7 @@ from argparse import ArgumentParser
from pathlib import Path
from typing import Dict
from .functions import get_company_financials, ResultDict
from .functions import get_all_financials, ResultDict
from .constants import END_DATE, MAIN_LOGGER_NAME
@ -78,7 +78,7 @@ def write_to_csv(data: Dict[str, ResultDict], file_obj) -> None:
async def main() -> None:
args = parse_cli()
configure_logging(args[VERBOSE])
data = await get_company_financials(args[TICKER_SYMBOL], quarterly=args[QUARTERLY])
data = await get_all_financials(args[TICKER_SYMBOL], quarterly=args[QUARTERLY])
path: Path = args[TO_FILE]
if path is None:
print(json.dumps(data, indent=args[JSON_INDENT]))

2
src/mwfin/constants.py
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@ -15,7 +15,7 @@ END_DATE = 'End Date'
# All items marked `False` do not need to be scraped
# because they are calculated from other items (e.g. growth or ratios).
FINANCIAL_STATEMENT_ITEMS = {
FIN_STMT_ITEMS = {
#################
# Balance Sheet #
#################

57
src/mwfin/functions.py
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@ -1,4 +1,5 @@
import logging
import asyncio
from typing import Union, List, Dict
from aiohttp.client import ClientSession
@ -6,7 +7,8 @@ from bs4 import BeautifulSoup
from bs4.element import Tag
from webutils import in_async_session, gather_in_batches
from . import constants
from .constants import (HTML_PARSER, BASE_URL, END_DATE, BS, IS, CF, FIN_STMT_URL_SUFFIX, FIN_STMT_ITEMS,
DEFAULT_CONCURRENT_BATCH_SIZE)
log = logging.getLogger(__name__)
@ -25,7 +27,7 @@ async def soup_from_url(url: str, session: ClientSession = None) -> BeautifulSou
"""
async with session.get(url) as response:
html = await response.text()
return BeautifulSoup(html, constants.HTML_PARSER)
return BeautifulSoup(html, HTML_PARSER)
def extract_end_dates(soup: BeautifulSoup) -> tuple[str]:
@ -43,7 +45,7 @@ def is_relevant_table_row(tr: Tag) -> bool:
"""
item_name = str(tr.td.div.string).strip()
try:
return constants.FINANCIAL_STATEMENT_ITEMS[item_name]
return FIN_STMT_ITEMS[item_name]
except KeyError:
log.warning(f"Unknown item name '{item_name}' found in financial statement.")
return False
@ -73,7 +75,7 @@ def extract_all_data(soup: BeautifulSoup) -> ResultDict:
"""
Extracts financials from the page.
"""
output = {constants.END_DATE: extract_end_dates(soup)}
output = {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]
@ -86,7 +88,7 @@ async def _get_single_company_fin_stmt(statement: str, ticker_symbol: str, quart
"""
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]}'
url = f'{BASE_URL}/{ticker_symbol}/financials{FIN_STMT_URL_SUFFIX[statement]}'
if quarterly:
url += '/quarter'
soup = await soup_from_url(url, session)
@ -95,70 +97,69 @@ async def _get_single_company_fin_stmt(statement: str, ticker_symbol: str, quart
@in_async_session
async def _get_multi_companies_fin_stmt(statement: str, *ticker_symbols: str, quarterly: bool = False,
concurrent_batch_size: int = constants.DEFAULT_CONCURRENT_BATCH_SIZE,
concurrent_batch_size: int = DEFAULT_CONCURRENT_BATCH_SIZE,
session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
if len(ticker_symbols) == 1:
return await _get_single_company_fin_stmt(statement, ticker_symbols[0], quarterly, session)
result_list = await gather_in_batches(
concurrent_batch_size,
*(_get_single_company_fin_stmt(statement, symbol, quarterly, session) for symbol in ticker_symbols)
)
coroutines = (_get_single_company_fin_stmt(statement, symbol, quarterly, session) for symbol in ticker_symbols)
result_list = await gather_in_batches(concurrent_batch_size, *coroutines)
return {symbol: data for symbol, data in zip(ticker_symbols, result_list)}
@in_async_session
async def get_balance_sheet(*ticker_symbols: str, quarterly: bool = False,
concurrent_batch_size: int = constants.DEFAULT_CONCURRENT_BATCH_SIZE,
concurrent_batch_size: int = DEFAULT_CONCURRENT_BATCH_SIZE,
session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
"""
Returns data from the balance sheet of the specified company.
"""
return await _get_multi_companies_fin_stmt(constants.BS, *ticker_symbols,
return await _get_multi_companies_fin_stmt(BS, *ticker_symbols,
quarterly=quarterly, concurrent_batch_size=concurrent_batch_size,
session=session)
@in_async_session
async def get_income_statement(*ticker_symbols: str, quarterly: bool = False,
concurrent_batch_size: int = constants.DEFAULT_CONCURRENT_BATCH_SIZE,
concurrent_batch_size: int = DEFAULT_CONCURRENT_BATCH_SIZE,
session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
"""
Returns data from the income statement of the specified company.
"""
return await _get_multi_companies_fin_stmt(constants.IS, *ticker_symbols,
return await _get_multi_companies_fin_stmt(IS, *ticker_symbols,
quarterly=quarterly, concurrent_batch_size=concurrent_batch_size,
session=session)
@in_async_session
async def get_cash_flow_statement(*ticker_symbols: str, quarterly: bool = False,
concurrent_batch_size: int = constants.DEFAULT_CONCURRENT_BATCH_SIZE,
concurrent_batch_size: int = DEFAULT_CONCURRENT_BATCH_SIZE,
session: ClientSession = None) -> Union[ResultDict, Dict[str, ResultDict]]:
"""
Returns data from the cash flow statement of the specified company.
"""
return await _get_multi_companies_fin_stmt(constants.CF, *ticker_symbols,
return await _get_multi_companies_fin_stmt(CF, *ticker_symbols,
quarterly=quarterly, concurrent_batch_size=concurrent_batch_size,
session=session)
@in_async_session
async def _get_single_company_financials(ticker_symbol: str, quarterly: bool = False,
session: ClientSession = None) -> Dict[str, ResultDict]:
return {
constants.BS: await _get_single_company_fin_stmt(constants.BS, ticker_symbol, quarterly, session),
constants.IS: await _get_single_company_fin_stmt(constants.IS, ticker_symbol, quarterly, session),
constants.CF: await _get_single_company_fin_stmt(constants.CF, ticker_symbol, quarterly, session)
}
async def _get_single_company_all_financials(ticker_symbol: str, quarterly: bool = False,
session: ClientSession = None) -> Dict[str, ResultDict]:
coroutines = (_get_single_company_fin_stmt(stmt, ticker_symbol, quarterly, session) for stmt in (BS, IS, CF))
results = await asyncio.gather(*coroutines)
return {stmt: data for stmt, data in zip((BS, IS, CF), results)}
@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]]]:
async def get_all_financials(*ticker_symbols: str, quarterly: bool = False,
concurrent_batch_size: int = DEFAULT_CONCURRENT_BATCH_SIZE,
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 await _get_single_company_financials(ticker_symbols[0], quarterly, session)
return {symbol: await _get_single_company_financials(symbol, quarterly, session) for symbol in ticker_symbols}
return await _get_single_company_all_financials(ticker_symbols[0], quarterly, session)
coroutines = (_get_single_company_all_financials(symbol, quarterly, session) for symbol in ticker_symbols)
result_list = await gather_in_batches(concurrent_batch_size, *coroutines)
return {symbol: data for symbol, data in zip(ticker_symbols, result_list)}