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#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
import io
import json
import numpy as np
import pandas as pd
import pytest
from sagemaker.deserializers import (
StringDeserializer,
BytesDeserializer,
CSVDeserializer,
StreamDeserializer,
NumpyDeserializer,
JSONDeserializer,
PandasDeserializer,
JSONLinesDeserializer,
)
def test_string_deserializer():
deserializer = StringDeserializer()
result = deserializer.deserialize(io.BytesIO(b"[1, 2, 3]"), "application/json")
assert result == "[1, 2, 3]"
def test_bytes_deserializer():
deserializer = BytesDeserializer()
result = deserializer.deserialize(io.BytesIO(b"[1, 2, 3]"), "application/json")
assert result == b"[1, 2, 3]"
@pytest.fixture
def csv_deserializer():
return CSVDeserializer()
def test_csv_deserializer_single_element(csv_deserializer):
result = csv_deserializer.deserialize(io.BytesIO(b"1"), "text/csv")
assert result == [["1"]]
def test_csv_deserializer_array(csv_deserializer):
result = csv_deserializer.deserialize(io.BytesIO(b"1,2,3"), "text/csv")
assert result == [["1", "2", "3"]]
def test_csv_deserializer_2dimensional(csv_deserializer):
result = csv_deserializer.deserialize(io.BytesIO(b"1,2,3\n3,4,5"), "text/csv")
assert result == [["1", "2", "3"], ["3", "4", "5"]]
def test_csv_deserializer_posix_compliant(csv_deserializer):
result = csv_deserializer.deserialize(io.BytesIO(b"1,2,3\n3,4,5\n"), "text/csv")
assert result == [["1", "2", "3"], ["3", "4", "5"]]
def test_stream_deserializer():
deserializer = StreamDeserializer()
stream, content_type = deserializer.deserialize(io.BytesIO(b"[1, 2, 3]"), "application/json")
try:
result = stream.read()
finally:
stream.close()
assert result == b"[1, 2, 3]"
assert content_type == "application/json"
@pytest.fixture
def numpy_deserializer():
return NumpyDeserializer()
def test_numpy_deserializer_from_csv(numpy_deserializer):
stream = io.BytesIO(b"1,2,3\n4,5,6")
array = numpy_deserializer.deserialize(stream, "text/csv")
assert np.array_equal(array, np.array([[1, 2, 3], [4, 5, 6]]))
def test_numpy_deserializer_from_csv_ragged(numpy_deserializer):
stream = io.BytesIO(b"1,2,3\n4,5,6,7")
with pytest.raises(ValueError) as error:
numpy_deserializer.deserialize(stream, "text/csv")
assert "errors were detected" in str(error)
def test_numpy_deserializer_from_csv_alpha():
numpy_deserializer = NumpyDeserializer(dtype="U5")
stream = io.BytesIO(b"hello,2,3\n4,5,6")
array = numpy_deserializer.deserialize(stream, "text/csv")
assert np.array_equal(array, np.array([["hello", 2, 3], [4, 5, 6]]))
def test_numpy_deserializer_from_json(numpy_deserializer):
stream = io.BytesIO(b"[[1,2,3],\n[4,5,6]]")
array = numpy_deserializer.deserialize(stream, "application/json")
assert np.array_equal(array, np.array([[1, 2, 3], [4, 5, 6]]))
# Sadly, ragged arrays work fine in JSON (giving us a 1D array of Python lists)
def test_numpy_deserializer_from_json_ragged(numpy_deserializer):
stream = io.BytesIO(b"[[1,2,3],\n[4,5,6,7]]")
array = numpy_deserializer.deserialize(stream, "application/json")
assert np.array_equal(array, np.array([[1, 2, 3], [4, 5, 6, 7]]))
def test_numpy_deserializer_from_json_alpha():
numpy_deserializer = NumpyDeserializer(dtype="U5")
stream = io.BytesIO(b'[["hello",2,3],\n[4,5,6]]')
array = numpy_deserializer.deserialize(stream, "application/json")
assert np.array_equal(array, np.array([["hello", 2, 3], [4, 5, 6]]))
def test_numpy_deserializer_from_npy(numpy_deserializer):
array = np.ones((2, 3))
stream = io.BytesIO()
np.save(stream, array)
stream.seek(0)
result = numpy_deserializer.deserialize(stream, "application/x-npy")
assert np.array_equal(array, result)
def test_numpy_deserializer_from_npy_object_array(numpy_deserializer):
array = np.array([{"a": "", "b": ""}, {"c": "", "d": ""}])
stream = io.BytesIO()
np.save(stream, array)
stream.seek(0)
result = numpy_deserializer.deserialize(stream, "application/x-npy")
assert np.array_equal(array, result)
def test_numpy_deserializer_from_npy_object_array_with_allow_pickle_false():
numpy_deserializer = NumpyDeserializer(allow_pickle=False)
array = np.array([{"a": "", "b": ""}, {"c": "", "d": ""}])
stream = io.BytesIO()
np.save(stream, array)
stream.seek(0)
with pytest.raises(ValueError):
numpy_deserializer.deserialize(stream, "application/x-npy")
@pytest.fixture
def json_deserializer():
return JSONDeserializer()
def test_json_deserializer_array(json_deserializer):
result = json_deserializer.deserialize(io.BytesIO(b"[1, 2, 3]"), "application/json")
assert result == [1, 2, 3]
def test_json_deserializer_2dimensional(json_deserializer):
result = json_deserializer.deserialize(
io.BytesIO(b"[[1, 2, 3], [3, 4, 5]]"), "application/json"
)
assert result == [[1, 2, 3], [3, 4, 5]]
def test_json_deserializer_invalid_data(json_deserializer):
with pytest.raises(ValueError) as error:
json_deserializer.deserialize(io.BytesIO(b"[[1]"), "application/json")
assert "column" in str(error)
@pytest.fixture
def pandas_deserializer():
return PandasDeserializer()
def test_pandas_deserializer_json(pandas_deserializer):
data = {"col 1": {"row 1": "a", "row 2": "c"}, "col 2": {"row 1": "b", "row 2": "d"}}
stream = io.BytesIO(json.dumps(data).encode("utf-8"))
result = pandas_deserializer.deserialize(stream, "application/json")
expected = pd.DataFrame(
[["a", "b"], ["c", "d"]], index=["row 1", "row 2"], columns=["col 1", "col 2"]
)
assert result.equals(expected)
def test_pandas_deserializer_csv(pandas_deserializer):
stream = io.BytesIO(b"col 1,col 2\na,b\nc,d")
result = pandas_deserializer.deserialize(stream, "text/csv")
expected = pd.DataFrame([["a", "b"], ["c", "d"]], columns=["col 1", "col 2"])
assert result.equals(expected)
@pytest.fixture
def json_lines_deserializer():
return JSONLinesDeserializer()
@pytest.mark.parametrize(
"source, expected",
[
(b'["Name", "Score"]\n["Gilbert", 24]', [["Name", "Score"], ["Gilbert", 24]]),
(b'["Name", "Score"]\n["Gilbert", 24]\n', [["Name", "Score"], ["Gilbert", 24]]),
(
b'{"Name": "Gilbert", "Score": 24}\n{"Name": "Alexa", "Score": 29}',
[{"Name": "Gilbert", "Score": 24}, {"Name": "Alexa", "Score": 29}],
),
],
)
def test_json_lines_deserializer(json_lines_deserializer, source, expected):
stream = io.BytesIO(source)
content_type = "application/jsonlines"
actual = json_lines_deserializer.deserialize(stream, content_type)
assert actual == expected
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