def test_reserves():
remove_clutter()
session = Session(location=TEST_DIR)
reserves = session.get(dataset="reserves").dataset
assert len(reserves.columns) == 6
assert isinstance(reserves.index[0], pd._libs.tslibs.timestamps.Timestamp)
remove_clutter()
def test_lin():
remove_clutter()
lin = economic_activity._lin_gdp(update_loc=TEST_DIR, save_loc=TEST_DIR)
assert isinstance(lin, pd.DataFrame)
assert (sorted(lin.columns.get_level_values("Moneda")) == sorted(
["UYU", "USD"]))
remove_clutter()
def test_nxr_monthly():
remove_clutter()
session = Session(location=TEST_DIR)
nxr = session.get(dataset="nxr_monthly").dataset
assert len(nxr.columns) == 2
assert isinstance(nxr.index[0], pd._libs.tslibs.timestamps.Timestamp)
remove_clutter()
def test_rxr_official():
remove_clutter()
session = Session(location=TEST_DIR)
tcr = session.get(dataset="rxr_official").dataset
assert isinstance(tcr, pd.DataFrame)
assert tcr.index[0] == dt.date(2000, 1, 31)
session.only_get = True
compare = session.get(dataset="rxr_official").dataset
assert tcr.round(4).equals(compare.round(4))
remove_clutter()
def test_sqlutil():
remove_clutter()
sqlutil.read(con=TEST_CON, command='SELECT * FROM nxr_daily')
sqlutil.read(con=TEST_CON, table_name="nxr_daily",
start_date="2011-01-14",
end_date="2012-01-15")
sqlutil.read(con=TEST_CON, table_name="nxr_daily",
start_date="2011-01-14")
sqlutil.read(con=TEST_CON, table_name="reserves_changes",
end_date="2012-01-01",
cols=["1. Compras netas de moneda extranjera"])
def test_revise():
remove_clutter()
prices = cpi.get(save_loc=TEST_DIR)
prices_alt = cpi.get(update_loc=TEST_DIR, revise_rows=6)
assert prices.round(4).equals(prices_alt.round(4))
prices_alt = cpi.get(update_loc=TEST_DIR, revise_rows="nodup")
assert prices.round(4).equals(prices_alt.round(4))
prices_alt = cpi.get(update_loc=TEST_DIR, revise_rows="auto")
assert prices.round(4).equals(prices_alt.round(4))
with pytest.raises(ValueError):
cpi.get(update_loc=TEST_DIR, revise_rows="wrong")
remove_clutter()
def test_comm_index():
remove_clutter()
session = Session(location=TEST_DIR)
comm = session.get_custom(dataset="commodity_index").dataset
assert isinstance(comm, pd.DataFrame)
assert comm.index[0] == dt.date(2002, 1, 31)
assert comm.iloc[0][0] == 100
session.only_get = True
compare = session.get_custom(dataset="commodity_index",
only_get_prices=True).dataset
assert compare.round(4).equals(comm.round(4))
remove_clutter()
def test_rxr_custom():
remove_clutter()
session = Session(location=TEST_DIR)
tcr = session.get_custom(dataset="rxr_custom").dataset
assert isinstance(tcr, pd.DataFrame)
assert tcr.index[0] == dt.date(1979, 12, 31)
assert len(tcr.columns) == 4
avs = tcr.loc[(tcr.index >= "2010-01-01")
& (tcr.index <= "2010-12-31")].mean().values.round(1)
arr = np.array([100] * 4, dtype="float64")
assert np.all(avs == arr)
session.only_get = True
compare = session.get_custom(dataset="rxr_custom").dataset
assert tcr.round(4).equals(compare.round(4))
remove_clutter()
def test_nxr_daily():
remove_clutter()
previous_data = pd.read_csv(path.join(TEST_DIR, "nxr_daily.csv"),
index_col=0,
header=list(range(9)))
metadata._set(previous_data)
previous_data.index = pd.to_datetime(previous_data.index)
session = Session(location=TEST_DIR)
nxr = session.get(dataset="nxr_daily").dataset
compare = nxr.loc[previous_data.index].round(4)
compare.columns = previous_data.columns
assert compare.equals(previous_data.round(4))
session.only_get = True
compare = session.get(dataset="nxr_daily").dataset
assert compare.round(4).equals(nxr.round(4))
session.only_get = False
remove_clutter()
def test_reserves_changes():
remove_clutter()
session = Session(location=TEST_CON)
previous_data = pd.read_csv(path.join(TEST_DIR, "reserves_changes.csv"),
index_col=0,
header=list(range(9)),
float_precision="high")
metadata._set(previous_data)
res = session.get(dataset="reserves_changes").dataset
previous_data.index = pd.to_datetime(previous_data.index)
compare = res.loc[previous_data.index].round(3)
compare.columns = previous_data.columns
assert compare.equals(previous_data.round(3))
session.only_get = True
compare = session.get(dataset="reserves_changes").dataset
assert res.round(3).equals(compare.round(3))
remove_clutter()
