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Shorten with Walrus Operator #21

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27 changes: 10 additions & 17 deletions tests/test_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,8 +23,7 @@


def test_get_eod_data_no_date():
df = get_eod_data("AAPL", "US", api_key=api_key, session=session)
print(df)
print(df := get_eod_data("AAPL", "US", api_key=api_key, session=session))
# Note if df is Sentinel it means that the request was sent through but the response
# was forbidden indicating that the APi Key may not have been authorized to perform the
# Operation
Expand All @@ -33,50 +32,44 @@ def test_get_eod_data_no_date():


def test_get_eod_data_with_date():
df = get_eod_data("AAPL", "US", start="2020-02-01", end="2020-02-10",
api_key=api_key, session=session)
print(df)
print(df := get_eod_data("AAPL", "US", start="2020-02-01", end="2020-02-10",
api_key=api_key, session=session))
if df is not sentinel:
assert df.index.name == "Date"
assert df.index[0] != ""


def test_get_dividends():
df = get_dividends("AAPL", "US", start="2020-02-01", end="2020-02-10",
api_key=api_key, session=session)
print(df)
print(df := get_dividends("AAPL", "US", start="2020-02-01", end="2020-02-10",
api_key=api_key, session=session))
if df is not sentinel:
assert df.index.name == "Date"


def test_get_exchange_symbols():
df = get_exchange_symbols(exchange_code="US",
api_key=api_key, session=session)
print(df)
print(df := get_exchange_symbols(exchange_code="US",
api_key=api_key, session=session))
if df is not sentinel:
assert df.index.name == "Code"
assert "AAPL" in df.index


def test_get_exchanges():
df = get_exchanges()
print(df)
print(df := get_exchanges())
if df is not sentinel:
assert df.index.name == "ID"
assert "US" in df["Exchange Code"].unique()


def test_get_currencies():
df = get_currencies()
print(df)
print(df := get_currencies())
if df is not sentinel:
assert df.index.name == "ID"
assert "USD" in df["Currency Code"].unique()


def test_get_indexes():
df = get_indexes()
print(df)
print(df := get_indexes())
if df is not sentinel:
assert df.index.name == "ID"
assert "GSPC" in df["Code"].unique()