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json_utils_test.py
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281 lines (259 loc) · 9.48 KB
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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
#
import unittest
import apache_beam as beam
from apache_beam.portability.api import schema_pb2
from apache_beam.yaml import json_utils
class JsonUtilsTest(unittest.TestCase):
def test_json_to_row_with_missing_optional_field(self):
beam_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
schema_pb2.Field(
name='event_subtype',
type=schema_pb2.FieldType(
atomic_type=schema_pb2.STRING, nullable=True)),
])
beam_type = schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=beam_schema))
converter = json_utils.json_to_row(beam_type)
json_data = {'id': '123'}
beam_row = converter(json_data)
self.assertEqual(beam_row, beam.Row(id='123', event_subtype=None))
def test_json_to_row_with_missing_optional_object(self):
nested_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='nested_id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
])
beam_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
schema_pb2.Field(
name='nested',
type=schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=nested_schema),
nullable=True)),
])
beam_type = schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=beam_schema))
converter = json_utils.json_to_row(beam_type)
json_data = {'id': '123'}
beam_row = converter(json_data)
self.assertEqual(beam_row, beam.Row(id='123', nested=None))
def test_json_to_row_with_missing_optional_array(self):
beam_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
schema_pb2.Field(
name='items',
type=schema_pb2.FieldType(
array_type=schema_pb2.ArrayType(
element_type=schema_pb2.FieldType(
atomic_type=schema_pb2.STRING)),
nullable=True)),
])
beam_type = schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=beam_schema))
converter = json_utils.json_to_row(beam_type)
json_data = {'id': '123'}
beam_row = converter(json_data)
self.assertEqual(beam_row, beam.Row(id='123', items=None))
def test_json_to_row_with_all_fields(self):
nested_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='nested_id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
])
beam_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
schema_pb2.Field(
name='event_subtype',
type=schema_pb2.FieldType(
atomic_type=schema_pb2.STRING, nullable=True)),
schema_pb2.Field(
name='nested',
type=schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=nested_schema),
nullable=True)),
schema_pb2.Field(
name='items',
type=schema_pb2.FieldType(
array_type=schema_pb2.ArrayType(
element_type=schema_pb2.FieldType(
atomic_type=schema_pb2.STRING)),
nullable=True)),
])
beam_type = schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=beam_schema))
converter = json_utils.json_to_row(beam_type)
json_data = {
'id': '123',
'event_subtype': 'subtype_val',
'nested': {
'nested_id': 'nested_123'
},
'items': ['a', 'b', 'c']
}
beam_row = converter(json_data)
expected_row = beam.Row(
id='123',
event_subtype='subtype_val',
nested=beam.Row(nested_id='nested_123'),
items=['a', 'b', 'c'])
self.assertEqual(beam_row, expected_row)
def test_json_to_row_with_missing_required_field(self):
beam_schema = schema_pb2.Schema(
fields=[
schema_pb2.Field(
name='id',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
schema_pb2.Field(
name='required_field',
type=schema_pb2.FieldType(atomic_type=schema_pb2.STRING)),
])
beam_type = schema_pb2.FieldType(
row_type=schema_pb2.RowType(schema=beam_schema))
converter = json_utils.json_to_row(beam_type)
json_data = {'id': '123'}
with self.assertRaises(KeyError):
converter(json_data)
def test_validate_compatible(self):
from apache_beam.yaml.json_utils import _validate_compatible
# Compatible cases
_validate_compatible({'type': 'string'}, {'type': 'string'})
_validate_compatible(
{
'type': 'object', 'properties': {
'f': {
'type': 'string'
}
}
}, {
'type': 'object', 'properties': {
'f': {
'type': 'string'
}
}
})
# Incompatible types
with self.assertRaisesRegex(ValueError, 'Incompatible types'):
_validate_compatible({'type': 'string'}, {'type': 'integer'})
# Missing property
with self.assertRaisesRegex(ValueError, 'Missing or unknown property'):
_validate_compatible({
'type': 'object', 'properties': {}
},
{
'type': 'object',
'properties': {
'f': {
'type': 'string'
}
},
'required': ['f']
})
# Incompatible property type
with self.assertRaisesRegex(ValueError, 'Incompatible schema for \'f\''):
_validate_compatible(
{
'type': 'object', 'properties': {
'f': {
'type': 'integer'
}
}
}, {
'type': 'object', 'properties': {
'f': {
'type': 'string'
}
}
})
def test_validate_compatible_map(self):
from apache_beam.yaml.json_utils import _validate_compatible
# Compatible maps
_validate_compatible(
{
'type': 'object', 'additionalProperties': {
'type': 'string'
}
}, {
'type': 'object', 'additionalProperties': {
'type': 'string'
}
})
# Incompatible map values
with self.assertRaisesRegex(ValueError, 'Incompatible types'):
_validate_compatible(
{
'type': 'object', 'additionalProperties': {
'type': 'string'
}
}, {
'type': 'object', 'additionalProperties': {
'type': 'integer'
}
})
# Map vs Object
with self.assertRaisesRegex(ValueError,
'Incompatible types: map vs object'):
_validate_compatible(
{
'type': 'object', 'additionalProperties': {
'type': 'string'
}
}, {
'type': 'object', 'properties': {}, 'additionalProperties': False
})
def test_validate_compatible_extra_properties(self):
from apache_beam.yaml.json_utils import _validate_compatible
# Extra properties in weak_schema should be allowed if strong_schema
# doesn't explicitly forbid them (default additionalProperties=True).
_validate_compatible({
'type': 'object', 'properties': {
'extra': {
'type': 'string'
}
}
}, {
'type': 'object', 'properties': {}
})
# But if strong_schema says additionalProperties: False, it should raise.
with self.assertRaisesRegex(ValueError, 'Prohibited property'):
_validate_compatible(
{
'type': 'object', 'properties': {
'extra': {
'type': 'string'
}
}
}, {
'type': 'object', 'properties': {}, 'additionalProperties': False
})
if __name__ == '__main__':
unittest.main()