def test_to_chunks_exceptions():
df = DataFrame(data={'data': [1, 2, 3]})
c = DateChunker()
with pytest.raises(Exception) as e:
six.next(c.to_chunks(None, None))
assert ('Chunk size' in str(e))
with pytest.raises(Exception) as e:
six.next(c.to_chunks(df, 'D'))
assert ('datetime indexed' in str(e))
def test_date_filter_with_pd_date_range():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3]},
index=MultiIndex.from_tuples([(dt(2016, 1, 1), 1),
(dt(2016, 1, 2), 1),
(dt(2016, 1, 3), 1)],
names=['date', 'id']))
assert (c.filter(df, pd.date_range(dt(2017, 1, 1), dt(2018, 1, 1))).empty)
assert_frame_equal(
c.filter(df, pd.date_range(dt(2016, 1, 1), dt(2017, 1, 1))), df)
def test_date_filter_with_pd_date_range():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3]},
index=MultiIndex.from_tuples([(dt(2016, 1, 1), 1),
(dt(2016, 1, 2), 1),
(dt(2016, 1, 3), 1)],
names=['date', 'id'])
)
assert(c.filter(df, pd.date_range(dt(2017, 1, 1), dt(2018, 1, 1))).empty)
assert_frame_equal(c.filter(df, pd.date_range(dt(2016, 1, 1), dt(2017, 1, 1))), df)
def test_to_chunks_exceptions():
df = DataFrame(data={'data': [1, 2, 3]})
c = DateChunker()
with pytest.raises(Exception) as e:
six.next(c.to_chunks(df, 'D'))
assert ('datetime indexed' in str(e))
df.columns = ['date']
with pytest.raises(Exception) as e:
six.next(c.to_chunks(df, 'ZSDFG'))
assert ('Unknown freqstr' in str(e) or 'Invalid frequency' in str(e))
def test_to_chunks_exceptions():
df = DataFrame(data={'data': [1, 2, 3]})
c = DateChunker()
with pytest.raises(Exception) as e:
six.next(c.to_chunks(df, 'D'))
assert('datetime indexed' in str(e))
df.columns = ['date']
with pytest.raises(Exception) as e:
six.next(c.to_chunks(df, 'ZSDFG'))
assert('Unknown freqstr' in str(e) or 'Invalid frequency' in str(e))
def test_exclude():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3]},
index=MultiIndex.from_tuples([(dt(2016, 1, 1), 1),
(dt(2016, 1, 2), 1),
(dt(2016, 1, 3), 1)],
names=['date', 'id']))
df2 = DataFrame(data={'data': [1, 2, 3]})
assert (c.exclude(df, DateRange(dt(2016, 1, 1), dt(2016, 1, 1))).equals(
c.exclude(df, pd.date_range(dt(2016, 1, 1), dt(2016, 1, 1)))))
assert (c.exclude(df2, None).equals(df2))
def test_exclude():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3]},
index=MultiIndex.from_tuples([(dt(2016, 1, 1), 1),
(dt(2016, 1, 2), 1),
(dt(2016, 1, 3), 1)],
names=['date', 'id'])
)
df2 = DataFrame(data={'data': [1, 2, 3]})
assert(c.exclude(df, DateRange(dt(2016, 1, 1), dt(2016, 1, 1))).equals(c.exclude(df, pd.date_range(dt(2016, 1, 1), dt(2016, 1, 1)))))
assert(c.exclude(df2, None).equals(df2))
def test_exclude_no_index():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3],
'date': [dt(2016, 1, 1),
dt(2016, 1, 2),
dt(2016, 1, 3)]
}
)
df2 = DataFrame(data={'data': [1, 2, 3]})
assert(c.exclude(df, DateRange(dt(2016, 1, 1), dt(2016, 1, 1))).equals(c.exclude(df, pd.date_range(dt(2016, 1, 1), dt(2016, 1, 1)))))
assert(c.exclude(df2, None).equals(df2))
def test_exclude_no_index():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3],
'date': [dt(2016, 1, 1),
dt(2016, 1, 2),
dt(2016, 1, 3)]
}
)
df2 = DataFrame(data={'data': [1, 2, 3]})
assert(c.exclude(df, DateRange(dt(2016, 1, 1), dt(2016, 1, 1))).equals(c.exclude(df, pd.date_range(dt(2016, 1, 1), dt(2016, 1, 1)))))
assert(c.exclude(df2, None).equals(df2))
def save_to_chunkstore_per_symbol(self):
lib_name = "jy_equity_mkt_data"
arctic_store = Arctic(get_mongo_admin_conn_str())
arctic_store.delete_library(lib_name)
arctic_store.initialize_library(lib_name, lib_type=CHUNK_STORE)
lib_chunk_store = arctic_store[lib_name]
df = self.load_all_close_price()
df2 = df.pivot_table(values="close_price",
index="t",
columns="o",
aggfunc=np.mean)
df2.index.rename("date", inplace=True)
i = 0
for col in df2.columns:
df3 = df2.loc[:, col]
df3 = df3.dropna(axis=0)
lib_chunk_store.write(col,
df3,
chunker=DateChunker(),
chunk_size="D")
i += 1
if i % 2 == 0:
print(f"{i}:{col}")
def test_date_filter():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3]},
index=MultiIndex.from_tuples([(dt(2016, 1, 1), 1),
(dt(2016, 1, 2), 1),
(dt(2016, 1, 3), 1)],
names=['date', 'id']))
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2016, 1, 3))), df)
# CLOSED - OPEN
assert_frame_equal(c.filter(df, DateRange(dt(2016, 1, 1), None)), df)
# OPEN - OPEN
assert_frame_equal(c.filter(df, DateRange(None, None)), df)
# CLOSED - OPEN (far before data range)
assert_frame_equal(c.filter(df, DateRange(dt(2000, 1, 1), None)), df)
# CLOSED - OPEN (far after range)
assert (c.filter(df, DateRange(dt(2020, 1, 2), None)).empty)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2020, 1, 1))), df)
# CLOSED - CLOSED (after range)
assert (c.filter(df, DateRange(dt(2017, 1, 1), dt(2018, 1, 1))).empty)
def test_date_filter_no_index():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3],
'date': [dt(2016, 1, 1),
dt(2016, 1, 2),
dt(2016, 1, 3)]
}
)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2016, 1, 3))), df)
# CLOSED - OPEN
assert_frame_equal(c.filter(df, DateRange(dt(2016, 1, 1), None)), df)
# OPEN - OPEN
assert_frame_equal(c.filter(df, DateRange(None, None)), df)
# CLOSED - OPEN (far before data range)
assert_frame_equal(c.filter(df, DateRange(dt(2000, 1, 1), None)), df)
# CLOSED - OPEN (far after range)
assert(c.filter(df, DateRange(dt(2020, 1, 2), None)).empty)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2020, 1, 1))), df)
# CLOSED - CLOSED (after range)
assert(c.filter(df, DateRange(dt(2017, 1, 1), dt(2018, 1, 1))).empty)
def test_date_filter_no_index():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3],
'date': [dt(2016, 1, 1),
dt(2016, 1, 2),
dt(2016, 1, 3)]
}
)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2016, 1, 3))), df)
# CLOSED - OPEN
assert_frame_equal(c.filter(df, DateRange(dt(2016, 1, 1), None)), df)
# OPEN - OPEN
assert_frame_equal(c.filter(df, DateRange(None, None)), df)
# CLOSED - OPEN (far before data range)
assert_frame_equal(c.filter(df, DateRange(dt(2000, 1, 1), None)), df)
# CLOSED - OPEN (far after range)
assert(c.filter(df, DateRange(dt(2020, 1, 2), None)).empty)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2020, 1, 1))), df)
# CLOSED - CLOSED (after range)
assert(c.filter(df, DateRange(dt(2017, 1, 1), dt(2018, 1, 1))).empty)
def test_date_filter():
c = DateChunker()
df = DataFrame(data={'data': [1, 2, 3]},
index=MultiIndex.from_tuples([(dt(2016, 1, 1), 1),
(dt(2016, 1, 2), 1),
(dt(2016, 1, 3), 1)],
names=['date', 'id'])
)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2016, 1, 3))), df)
# CLOSED - OPEN
assert_frame_equal(c.filter(df, DateRange(dt(2016, 1, 1), None)), df)
# OPEN - OPEN
assert_frame_equal(c.filter(df, DateRange(None, None)), df)
# CLOSED - OPEN (far before data range)
assert_frame_equal(c.filter(df, DateRange(dt(2000, 1, 1), None)), df)
# CLOSED - OPEN (far after range)
assert(c.filter(df, DateRange(dt(2020, 1, 2), None)).empty)
# OPEN - CLOSED
assert_frame_equal(c.filter(df, DateRange(None, dt(2020, 1, 1))), df)
# CLOSED - CLOSED (after range)
assert(c.filter(df, DateRange(dt(2017, 1, 1), dt(2018, 1, 1))).empty)
