def test_upsert_new_ebit(self):
current_date = "2019-03-30"
stock_uri = "ab_inbev-Aktie"
ebit = "0.32"
lev_02_score = "1"
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
current_date=current_date,
stock_uri=stock_uri,
lev_02_val=ebit,
lev_02_sco=lev_02_score,
)
self.assertEqual(
ebit,
str(
db.get_item(
table=cst.TABLE_LEVERMANN,
column=cst.COLUMN_LEV02_VALUE,
condition=[cst.COLUMN_DATE, "2019-03-30"],
database=cst.TEST_DATABASE,
)),
)
def write_stock_estimates_data_to_db():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
file_list = [
cst.PATH_STOCK_ESTIMATES + stock[:-6] + cst.HTML_EXTENSION
for stock in stock_list
]
for file in file_list:
stock_uri = file.split("/")[-1][:-5] + "-Aktie"
stock_estimate_soup = scrap.get_soup_code_from_file(file)
if stock_estimate_soup is None:
logger.warning(
"Write Stock Estimate Data to DB: Soup is None for %s" %
str(file))
continue
try:
eps_0, eps_p1 = parse.get_result_per_share_current_and_next_year(
stock_estimate_soup)
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock_uri,
eps_0=eps_0,
eps_p1=eps_p1)
except:
logger.exception(
"Write Stock Estimate Data to DB: Exception for stock: %s" %
stock_uri)
def test_upsert_new_kgv5(self):
current_date = "2019-03-30"
stock_uri = "ab_inbev-Aktie"
kgv5 = "24.91"
lev_04_score = "-1"
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
current_date=current_date,
stock_uri=stock_uri,
lev_04_val=kgv5,
lev_04_sco=lev_04_score,
)
self.assertEqual(
kgv5,
str(
db.get_item(
table=cst.TABLE_LEVERMANN,
column=cst.COLUMN_LEV04_VALUE,
condition=[cst.COLUMN_DATE, "2019-03-30"],
database=cst.TEST_DATABASE,
)),
)
def write_stock_last_quarterly_figures_date_to_db():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
file_list = [
cst.PATH_STOCK_DATES + stock[:-6] + cst.HTML_EXTENSION
for stock in stock_list
]
for file in file_list:
stock_uri = file.split("/")[-1][:-5] + "-Aktie"
stock_targets_soup = scrap.get_soup_code_from_file(file)
if stock_targets_soup is None:
logger.warning(
"Write Stock Quaterlyfigures Data to DB: Soup is None for %s" %
str(file))
continue
try:
last_figures_date = parse.get_last_quarterly_figures_date(
stock_targets_soup)
if last_figures_date is None:
continue
else:
# db.write_single_stock_dates_data_to_db(stock_uri, last_figures_date)
db.upsert_item(
table=cst.TABLE_STOCK_DATES,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=last_figures_date,
quarterly="Quarterly/Yearly",
)
except:
logger.exception(
"Write Stock Quaterly Data to DB: Exception for stock: %s" %
stock_uri)
def write_stock_targets_data_to_db():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
file_list = [
cst.PATH_STOCK_TARGETS + stock[:-6] + cst.HTML_EXTENSION
for stock in stock_list
]
for file in file_list:
stock_uri = file.split("/")[-1][:-5] + "-Aktie"
stock_targets_soup = scrap.get_soup_code_from_file(file)
if stock_targets_soup is None:
logger.warning(
"Write Stock Targets Data to DB: Soup is None for %s" %
str(file))
continue
try:
buy, hold, sell = parse.get_analyst_ratings(stock_targets_soup)
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock_uri,
analyst_buy=buy,
analyst_hold=hold,
analyst_sell=sell,
)
except:
logger.exception(
"Write Stock Targets Data to DB: Exception for stock: %s" %
stock_uri)
def test_upsert_existing_single_balance_data_to_db(self):
current_date = "2019-03-09"
stock_uri = "ab_inbev-Aktie"
equity_capital = 121541.00
earnings_at = 3702.48
operative_result = 14520.88
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
current_date=current_date,
stock_uri=stock_uri,
equity_capital=equity_capital,
earnings_after_tax=earnings_at,
operative_result=operative_result,
)
self.assertEqual(
"3702.48",
str(
db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_EARNINGS_AT,
condition=[cst.COLUMN_EQUITY_CAPITAL, 121541.00],
database=cst.TEST_DATABASE,
)),
)
def test_upsert_existing_roe(self):
current_date = "2019-03-23"
stock_uri = "ab_inbev-Aktie"
return_on_equity = "0.08"
lev_01_score = "-1"
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
current_date=current_date,
stock_uri=stock_uri,
lev_01_val=return_on_equity,
lev_01_sco=lev_01_score,
)
self.assertEqual(
return_on_equity,
str(
db.get_item(
table=cst.TABLE_LEVERMANN,
column=cst.COLUMN_LEV01_VALUE,
condition=[cst.COLUMN_DATE, "2019-03-23"],
database=cst.TEST_DATABASE,
)),
)
def write_stock_balance_data_to_db():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
file_list = [
cst.PATH_STOCK_BALANCE + stock[:-6] + cst.HTML_EXTENSION
for stock in stock_list
]
for file in file_list:
stock_uri = file.split("/")[-1][:-5] + "-Aktie"
stock_balance_soup = scrap.get_soup_code_from_file(file)
if stock_balance_soup is None:
logger.warning(
"Write Stock Balance Data to DB: Soup is None for %s" %
str(file))
continue
if not parse.is_data_available(stock_balance_soup):
logger.warning(
"Write Stock Balance Data to DB: No Data Available for %s" %
str(file))
continue
try:
earnings_after_tax = parse.get_current_value_of_attribute(
stock_balance_soup, cst.TEXT_RESULT_AFTER_TAX)
operative_result = parse.get_current_value_of_attribute(
stock_balance_soup, cst.TEXT_OPERATIVE_RESULT)
sales_revenue = parse.get_current_value_of_attribute(
stock_balance_soup, cst.TEXT_SALES_REVENUE)
balance = parse.get_current_value_of_attribute(
stock_balance_soup, cst.TEXT_BALANCE)
equity_capital = parse.get_current_value_of_attribute(
stock_balance_soup, cst.TEXT_EQUITY_CAPITAL)
eps_m3, eps_m2, eps_m1 = parse.get_result_per_share_last_three_years(
stock_balance_soup)
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock_uri,
equity_capital=equity_capital,
earnings_after_tax=earnings_after_tax,
operative_result=operative_result,
sales_revenue=sales_revenue,
balance=balance,
eps_m3=eps_m3,
eps_m2=eps_m2,
eps_m1=eps_m1)
except:
logger.exception(
"Write Stock Balance Data to DB: Exception for stock: %s" %
stock_uri)
continue
def levermann_03():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
for stock in stock_list:
# equity_capital = db.get_equity_capital(stock)
equity_capital = db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_EQUITY_CAPITAL,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
# balance = db.get_balance(stock)
balance = db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_BALANCE,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
if equity_capital is None or balance is None or balance == 0:
logger.info(
"Calculate Lev03: Equity Capital or Balance is None or 0 for stock: %s"
% stock)
continue
equity_ratio = round(equity_capital / balance, 2)
if db.check_is_financial_company(stock):
if equity_ratio > 0.10:
lev_03_score = 1
elif equity_ratio < 0.05:
lev_03_score = -1
else:
lev_03_score = 0
else:
if equity_ratio > 0.25:
lev_03_score = 1
elif equity_ratio < 0.15:
lev_03_score = -1
else:
lev_03_score = 0
# db.save_equity_ratio_to_db(stock, equity_ratio, lev_03_score)
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock,
lev_03_val=equity_ratio,
lev_03_sco=lev_03_score,
)
def levermann_02():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
for stock in stock_list:
# operative_result = db.get_operative_result(stock)
operative_result = db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_OPERATIVE_RESULT,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
# sales_revenue = db.get_sales_revenue(stock)
sales_revenue = db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_SALES_REVENUE,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
if operative_result is None or sales_revenue is None or sales_revenue == 0:
logger.info(
"Calculate Lev02: Operative Result or Sales Revenue is None for stock: %s"
% stock)
continue
ebit = round(operative_result / sales_revenue, 2)
if db.check_is_financial_company(stock):
logger.info("Calculate Lev02: %s is financial Stock" % stock)
ebit = 0
lev_02_score = 0
else:
if ebit > 0.12:
lev_02_score = 1
elif ebit < 0.06:
lev_02_score = -1
else:
lev_02_score = 0
# db.save_ebit_to_db(stock, ebit, lev_02_score)
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock,
lev_02_val=ebit,
lev_02_sco=lev_02_score,
)
def levermann_06():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
for stock in stock_list:
ratings = db.get_analyst_ratings(stock)
if ratings is None:
logger.info("Calculate Lev06: Rating is None for stock: %s" %
stock)
continue
rating_count = sum(ratings)
if rating_count == 0:
logger.info("Calculate Lev06: Zero Rating for stock: %s" % stock)
rating = 0
lev_06_score = 0
else:
rating = (1 * ratings[0] + 2 * ratings[1] +
3 * ratings[2]) / rating_count
is_small_cap = db.is_small_cap(stock)
if is_small_cap and 0 < rating_count <= 5 and 1.0 <= rating <= 1.5:
lev_06_score = 1
elif is_small_cap and 0 < rating_count <= 5 and 1.5 < rating < 2.5:
lev_06_score = 0
elif is_small_cap and 0 < rating_count <= 5 and 2.5 <= rating <= 3.0:
lev_06_score = -1
elif 1.0 <= rating <= 1.5:
lev_06_score = -1
elif 1.5 < rating < 2.5:
lev_06_score = 0
elif 2.5 <= rating <= 3.0:
lev_06_score = 1
else:
lev_06_score = 5
# db.save_rating_to_db(stock, round(rating, 2), lev_06_score)
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock,
lev_06_val=round(rating, 2),
lev_06_sco=lev_06_score,
)
def test_upsert_new_targets(self):
current_date = "2019-03-09"
stock_uri = "ab_inbev-Aktie"
buy, hold, sell = 7, 1, 0
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
stock_uri=stock_uri,
current_date=current_date,
analyst_buy=buy,
analyst_hold=hold,
analyst_sell=sell,
database=cst.TEST_DATABASE,
)
self.assertEqual(
buy,
db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_ANALYST_BUY,
condition=[cst.COLUMN_DATE, "2019-03-09"],
database=cst.TEST_DATABASE,
),
)
self.assertEqual(
hold,
db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_ANALYST_HOLD,
condition=[cst.COLUMN_DATE, "2019-03-09"],
database=cst.TEST_DATABASE,
),
)
self.assertEqual(
sell,
db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_ANALYST_SELL,
condition=[cst.COLUMN_DATE, "2019-03-09"],
database=cst.TEST_DATABASE,
),
)
def levermann_01():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
for stock in stock_list:
# earnings_before_tax = db.get_earnings_after_tax(stock)
earnings_before_tax = db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_EARNINGS_AT,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
# equity_capital = db.get_equity_capital(stock)
equity_capital = db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_EQUITY_CAPITAL,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
if earnings_before_tax is None or equity_capital is None or equity_capital == 0:
logger.info(
"Calculate Lev01: Earnings before Tax or Equity Capital is None for stock: %s"
% stock)
continue
return_on_equity = round(earnings_before_tax / equity_capital, 2)
if return_on_equity > 0.2:
lev_01_score = 1
elif return_on_equity < 0.1:
lev_01_score = -1
else:
lev_01_score = 0
# db.save_roe_to_db(stock, return_on_equity, lev_01_score)
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock,
lev_01_val=return_on_equity,
lev_01_sco=lev_01_score,
)
def write_stock_overview_data_to_db():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
file_list = [
cst.PATH_STOCK_OVERVIEW + stock + cst.HTML_EXTENSION
for stock in stock_list
]
for file in file_list:
stock_uri = file.split("/")[-1][:-5]
stock_overview_soup = scrap.get_soup_code_from_file(file)
if stock_overview_soup is None:
logger.warning(
"Write Stock Overview Data to DB: Stock Overview Soup is None for %s"
% str(file))
continue
market_cap = parse.get_market_cap(stock_overview_soup)
if market_cap is None:
logger.warning(
"Write Stock Overview Data to DB: Market Cap is None for %s" %
str(file))
market_cap = -1.00
stock_indices = str(parse.get_listed_indizes(stock_overview_soup))
stock_sectors = str(parse.get_sectors(stock_overview_soup))
market_place = parse.get_market_place(stock_overview_soup)
db.upsert_item(table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
stock_uri=stock_uri,
market_cap=market_cap,
current_date=date.get_current_date(),
stock_indices=stock_indices,
stock_sectors=stock_sectors)
db.update_item(table=cst.TABLE_STOCKS,
primary_keys=cst.COLUMN_URI,
uri=stock_uri,
market_place=market_place)
stock_history_list = parse.get_historic_stock_prices_from_overview(
stock_overview_soup)
if stock_history_list is not None:
db.write_stock_overview_history_to_db(stock_history_list,
stock_uri)
def test_upsert_new_single_balance_data_to_db(self):
current_date = "2019-03-23"
stock_uri = "coca-cola-Aktie"
earnings_at = 6434.00
operative_result = 9652.00
sales_revenue = 31697.00
balance = 83216.00
equity_capital = 19058.00
eps_m3 = 1.51
eps_m2 = 0.29
eps_m1 = 1.51
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
current_date=current_date,
stock_uri=stock_uri,
earnings_after_tax=earnings_at,
operative_result=operative_result,
sales_revenue=sales_revenue,
balance=balance,
equity_capital=equity_capital,
eps_m3=eps_m3,
eps_m2=eps_m2,
eps_m1=eps_m1,
)
self.assertEqual(
"1.51",
str(
db.get_item(
table=cst.TABLE_COMPANY_DATA,
column=cst.COLUMN_EPS_M3,
condition=[cst.COLUMN_STOCK_URI, "coca-cola-Aktie"],
database=cst.TEST_DATABASE,
)),
)
def test_upsert_existing_single_overview_data_to_db(self):
stock_uri = "bechtle-Aktie"
market_cap = "3230.00"
current_date = "2019-03-16"
stock_indices = ["TecDAX", "MDAX", "Prime All Share"]
stock_sectors = [
"IT-Dienstleister",
"IT-Beratung Hardware",
"Dienstleistungen",
"Internethandel (B2B, B2C)",
"Informationstechnologie",
]
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
stock_uri=stock_uri,
market_cap=market_cap,
current_date=current_date,
stock_indices=str(stock_indices),
stock_sectors=str(stock_sectors),
)
asserted_data = ["['TecDAX', 'MDAX', 'Prime All Share']"]
self.assertEqual(
asserted_data,
db.get_list(
table=cst.TABLE_COMPANY_DATA,
columns=cst.COLUMN_INDICES,
condition=[cst.COLUMN_STOCK_URI, "bechtle-Aktie"],
database=cst.TEST_DATABASE,
),
)
def levermann_04_05():
stock_list = db.get_list(table=cst.TABLE_STOCKS, columns=cst.COLUMN_URI)
for stock in stock_list:
# current_stock_price = db.get_latest_stock_price(stock)
current_stock_price = db.get_item(
table=cst.TABLE_STOCKS_HISTORIES,
column=cst.COLUMN_CLOSING_VALUE,
condition=[cst.COLUMN_STOCK_URI, stock],
order=[cst.COLUMN_DATE, cst.DESC],
)
eps = db.get_latest_eps(stock)
if current_stock_price is None or eps is None:
logger.info("Calculate Lev04/05: Current Stockprice is None: %s" %
stock)
continue
if eps is None:
logger.info("Calculate Lev04/05: EPS is None for stock: %s" %
stock)
continue
if None in eps:
logger.info("Calculate Lev04/05: Any Nones in EPS for stock: %s" %
stock)
continue
eps_0 = eps[3]
kgv5 = float(current_stock_price) / (sum(eps) /
5) if sum(eps) != 0 else 9999.99
kgv5 = 9999.99 if kgv5 > 9999.99 else kgv5
kgv0 = float(current_stock_price) / eps_0 if eps_0 != 0 else 14
kgv0 = 9999.99 if kgv0 > 9999.99 else kgv0
if 0 < kgv5 < 12:
lev_04_score = 1
elif 12 < kgv5 < 16:
lev_04_score = 0
elif kgv5 <= 0 or kgv5 >= 16:
lev_04_score = -1
else:
lev_04_score = 0
# db.save_kgv5_to_db(stock, round(kgv5, 2), lev_04_score)
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock,
lev_04_val=round(kgv5, 2),
lev_04_sco=lev_04_score,
)
if 0 < kgv0 < 12:
lev_05_score = 1
elif 12 < kgv0 < 16:
lev_05_score = 0
elif kgv0 <= 0 or kgv0 >= 16:
lev_05_score = -1
else:
lev_05_score = 0
# db.save_kgv0_to_db(stock, round(kgv0, 2), lev_05_score)
db.upsert_item(
table=cst.TABLE_LEVERMANN,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
current_date=date.get_current_date(),
stock_uri=stock,
lev_05_val=round(kgv0, 2),
lev_05_sco=lev_05_score,
)
def test_upsert_new_single_overview_data_to_db(self):
current_date = "2019-03-23"
stock_uri = "coca-cola-Aktie"
market_cap = "171390.00"
stock_indices = [
"Dow Jones",
"S&P 500",
"S&P 100",
"NYSE US 100",
"IGPA",
"BX Swiss - USA",
]
stock_sectors = '["Getränke / Tabak"]'
db.upsert_item(
table=cst.TABLE_COMPANY_DATA,
primary_keys=[cst.COLUMN_STOCK_URI, cst.COLUMN_DATE],
database=cst.TEST_DATABASE,
stock_uri=stock_uri,
market_cap=market_cap,
current_date=current_date,
stock_indices=str(stock_indices),
stock_sectors=str(stock_sectors),
)
asserted_company_data_content_after = [
[
"3i-Aktie", '["FTSE 100", "FTSE Allshare"]',
'["Finanzdienstleister"]'
],
[
"ab_inbev-Aktie",
'["EURO STOXX 50", "STOXX 50", "BEL 20", "EURONEXT 100", "EURO STOXX", "Next CAC 70", "BX Swiss - EMEA"]',
'["Getränke / Tabak"]',
],
[
"ab_inbev-Aktie",
'["STOXX 50", "EURO STOXX 50", "BEL 20", "EURONEXT 100", "EURO STOXX", "Next CAC 70", "BX Swiss - EMEA"]',
'["Getränke / Tabak"]',
],
[
"bechtle-Aktie",
'["TecDAX", "MDAX", "Prime All Share", "LMDAX", "Technology All Share", "HDAX", "LTecDAX", "CDAX", "MDAX Kursindex", "TecDAX Kursindex", "BX Swiss - EMEA", "DAXglobal Sarasin Sustainability Germany Index EUR", "QIX Deutschland", "DAXglobal Sarasin Sustainability Germany", "Schatten-Index-SDAX", "Schatten-Index-TecDAX"]',
'["IT-Dienstleister", "IT-Beratung Hardware", "Dienstleistungen", "Internethandel (B2B, B2C)", "Informationstechnologie"]',
],
[
"cellcom_israel-Aktie",
'["TA-100"]',
'["Telekommunikation", "Mobilkommunikation", "Netzbetreiber (Carrier)", "IT-Dienstleister"]',
],
[
"coca-cola-Aktie",
"['Dow Jones', 'S&P 500', 'S&P 100', 'NYSE US 100', 'IGPA', 'BX Swiss - USA']",
'["Getränke / Tabak"]',
],
]
self.assertEqual(
asserted_company_data_content_after,
db.get_list(
table=cst.TABLE_COMPANY_DATA,
columns=[
cst.COLUMN_STOCK_URI, cst.COLUMN_INDICES,
cst.COLUMN_SECTORS
],
database=cst.TEST_DATABASE,
),
)
