def test_jsonalchemy_toint_usage(self):
"""Test the usage of ``to_int`` function in real life example.
The ``test_toint`` model contains a field which contains an integer
subfield. Whenever the record is obtained from ``MARCXML``, the
string in mentioned subfield has to be converted to an integer.
However, JSONAlchemy fills every absent subfield with a ``None`` value.
If the record is not provided with the integer subfield and the
built-in ``int`` function is used, the code will crash.
The ``to_int`` function used inside definition of ``test_toint`` field
prevents it. Here the unprovided subfield is ``999__a``.
"""
xml = '<collection><record><datafield tag="999" ind1="" ind2= "">' \
'<subfield code="b">Value</subfield></datafield></record>' \
'</collection>'
simple_record = translate(xml, SmartJson, master_format='marc',
model="test_toint", metadata=self.metadata)
assert len(simple_record.__dict__['_dict']['__meta_metadata__'][
'__errors__']) == 0
# Check if it works when the value is provided.
xml = '<collection><record><datafield tag="999" ind1="" ind2= "">' \
'<subfield code="a">9999</subfield>' \
'<subfield code="b">Value</subfield></datafield></record>' \
'</collection>'
simple_record = translate(xml, SmartJson, master_format='marc',
model="test_toint", metadata=self.metadata)
self.assertEqual(simple_record['with_integers'][0]['some_int'], 9999)
def test_jsonalchemy_tooldvalue(self):
"""Test behaviour of ``set_default_value``.
In this example, the value provided to the reader in ``d`` subfield
is in wrong format. However, the behaviour of ``JSONAlchemy`` in such
case is to skip the value.
Given the below value of the subfield, the module crashes in
``set_default_value``. The error has been caught.
What is the reason behind the mentioned behaviour needs further
investigation.
"""
# Check if it works when the value is provided.
xml = '''<collection><record><datafield tag="100" ind1=" " ind2=" ">
<subfield code="a">Guy, Bobby</subfield>
<subfield code="d">I like trains</subfield>
<subfield code="g">ACTIVE</subfield>
<subfield code="q">Bobby Guy</subfield>
</datafield></record></collection>'''
simple_record = translate(xml,
SmartJson,
master_format='marc',
model="test_oldvalue",
metadata=self.metadata)
self.assertEqual(simple_record['dates']['birth'], None)
def test_jsonalchemy_tooldvalue(self):
"""Test behaviour of ``set_default_value``.
In this example, the value provided to the reader in ``d`` subfield
is in wrong format. However, the behaviour of ``JSONAlchemy`` in such
case is to skip the value.
Given the below value of the subfield, the module crashes in
``set_default_value``. The error has been caught.
What is the reason behind the mentioned behaviour needs further
investigation.
"""
# Check if it works when the value is provided.
xml = '''<collection><record><datafield tag="100" ind1=" " ind2=" ">
<subfield code="a">Guy, Bobby</subfield>
<subfield code="d">I like trains</subfield>
<subfield code="g">ACTIVE</subfield>
<subfield code="q">Bobby Guy</subfield>
</datafield></record></collection>'''
simple_record = translate(xml, SmartJson, master_format='marc',
model="test_oldvalue",
metadata=self.metadata)
self.assertEqual(simple_record['dates']['birth'], None)
def create(cls, data, model="test_versionable", master_format="json", **kwargs):
document = translate(
data, cls, master_format=master_format, model=model, metadata=self.metadata, **kwargs
)
cls.storage_engine.save_one(document.dumps())
document.bind(self.metadata)
return document
def test_dumps_hidden(self):
data = {"title": "Test Title"}
document = translate(data, SmartJson, master_format="json", model="test_hidden", metadata=self.metadata)
json = document.dumps()
self.assertTrue("title" in json)
self.assertTrue("hidden_basic" in json)
json = document.dumps(filter_hidden=True)
self.assertTrue("title" in json)
self.assertFalse("hidden_basic" in json)
def create(cls,
data,
model='test_versionable',
master_format='json',
**kwargs):
document = translate(data,
cls,
master_format=master_format,
model=model,
metadata=self.metadata,
**kwargs)
cls.storage_engine.save_one(document.dumps())
document.bind(self.metadata)
return document
def test_jsonalchemy_toint_usage(self):
"""Test the usage of ``to_int`` function in real life example.
The ``test_toint`` model contains a field which contains an integer
subfield. Whenever the record is obtained from ``MARCXML``, the
string in mentioned subfield has to be converted to an integer.
However, JSONAlchemy fills every absent subfield with a ``None`` value.
If the record is not provided with the integer subfield and the
built-in ``int`` function is used, the code will crash.
The ``to_int`` function used inside definition of ``test_toint`` field
prevents it. Here the unprovided subfield is ``999__a``.
"""
xml = '<collection><record><datafield tag="999" ind1="" ind2= "">' \
'<subfield code="b">Value</subfield></datafield></record>' \
'</collection>'
simple_record = translate(xml,
SmartJson,
master_format='marc',
model="test_toint",
metadata=self.metadata)
assert len(simple_record.__dict__['_dict']['__meta_metadata__']
['__errors__']) == 0
# Check if it works when the value is provided.
xml = '<collection><record><datafield tag="999" ind1="" ind2= "">' \
'<subfield code="a">9999</subfield>' \
'<subfield code="b">Value</subfield></datafield></record>' \
'</collection>'
simple_record = translate(xml,
SmartJson,
master_format='marc',
model="test_toint",
metadata=self.metadata)
self.assertEqual(simple_record['with_integers'][0]['some_int'], 9999)
def test_dumps_hidden(self):
data = {'title': 'Test Title'}
document = translate(data,
SmartJson,
master_format='json',
model='test_hidden',
metadata=self.metadata)
json = document.dumps()
self.assertTrue('title' in json)
self.assertTrue('hidden_basic' in json)
json = document.dumps(filter_hidden=True)
self.assertTrue('title' in json)
self.assertFalse('hidden_basic' in json)
