def test_nested_missing():
data = dict(
flim="Flim")
validator = V.nested(
flim=(
V.to_unicode(),
V.not_empty()),
flam=V.to_unicode())
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors == dict(flam="key 'flam' is missing")
with py.test.raises(V.Invalid) as e:
validator(None)
errors = e.value.unpack_errors()
assert errors == dict(
flam="key 'flam' is missing",
flim="key 'flim' is missing")
validator = V.nested(
flim=V.to_unicode(),
flam=V.all_of(
V.to_unicode(),
is_in_context()))
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors == dict(flam="key 'flam' is missing")
def test_nested():
data = dict(flim="Flim", flam="Flam", bubble="Bubble")
expected = dict(flim="Flim", flam="Flam")
validator = V.nested(flim=V.to_unicode(), flam=V.to_unicode())
assert validator(data) == expected
assert validator.__name__ == "nested"
validator = V.nested(flim=V.to_unicode(),
flam=V.all_of(V.to_unicode(), is_in_context()))
assert validator(data, context=dict(Flam=1)) == expected
def test_nested_with_bad_data():
validator = V.nested(flam=V.to_unicode(), flim=V.is_integer())
data = dict(flim="Flim", flam="Flam")
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors['flim'] == "not an integer"
validator = V.nested(
foo=V.nested(flam=V.to_unicode(), flim=V.is_integer()))
data = dict(foo=dict(flim="Flim", flam="Flam"))
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors['foo']['flim'] == "not an integer"
def test_nested_schema():
nested_validators = dict(foo=V.to_unicode(),
bar=V.nested(flim=V.to_unicode(),
flam=V.to_unicode()))
schema = V.Schema(nested_validators)
data = dict(foo="Foo", bar=dict(flim="Flim", flam="Flam"))
assert schema(data) == data
def test_nested():
data = dict(
flim="Flim",
flam="Flam",
bubble="Bubble")
expected = dict(
flim="Flim",
flam="Flam")
validator = V.nested(
flim=V.to_unicode(),
flam=V.to_unicode())
assert validator(data) == expected
assert validator.__name__ == "nested"
validator = V.nested(
flim=V.to_unicode(),
flam=V.all_of(
V.to_unicode(),
is_in_context()))
assert validator(data, context=dict(Flam=1)) == expected
def test_nested_missing():
data = dict(flim="Flim")
validator = V.nested(flim=(V.to_unicode(), V.not_empty()),
flam=V.to_unicode())
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors == dict(flam="key 'flam' is missing")
with py.test.raises(V.Invalid) as e:
validator(None)
errors = e.value.unpack_errors()
assert errors == dict(flam="key 'flam' is missing",
flim="key 'flim' is missing")
validator = V.nested(flim=V.to_unicode(),
flam=V.all_of(V.to_unicode(), is_in_context()))
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors == dict(flam="key 'flam' is missing")
def test_nested_schema():
nested_validators = dict(
foo=V.to_unicode(),
bar=V.nested(
flim=V.to_unicode(),
flam=V.to_unicode()))
schema = V.Schema(nested_validators)
data = dict(
foo="Foo",
bar=dict(
flim="Flim",
flam="Flam"))
assert schema(data) == data
def test_ContextValidator():
def _is_in_database(msg="it's not in the database"):
"Checks if something is in the database"
def f(value, context):
if not value in context['database']:
raise V.Invalid(msg)
return True
return f
is_in_database = _is_in_database
assert is_in_database.__name__ == _is_in_database.__name__
assert is_in_database.__doc__ == _is_in_database.__doc__
v = is_in_database()
context = dict(database=['foo', 'bar', 'bum'])
assert is_in_database()('foo', context)
with py.test.raises(V.Invalid) as e:
assert is_in_database()('flooble', context)
errors = e.value.unpack_errors()
assert errors == {None: "it's not in the database"}
with py.test.raises(V.Invalid) as e:
assert is_in_database("ting nah in db")('flooble', context)
errors = e.value.unpack_errors()
assert errors == {None: "ting nah in db"}
foo_schema = V.Schema(dict(flibble=is_in_database()))
data = dict(flibble='foo')
context = dict(database=['foo', 'bar', 'bum'])
result = foo_schema(data, context)
assert result == dict(flibble=True)
with py.test.raises(V.Invalid) as e:
data = dict(flibble='flansit')
context = dict(database=['foo', 'bar', 'bum'])
result = foo_schema(data, context)
errors = e.value.unpack_errors()
assert errors == {
None: "Problems were found in the submitted data.",
'flibble': "it's not in the database"
}
validator = V.nested(flim=is_in_database('doodah'))
data = dict(flim='foo')
context = dict(database=['foo', 'bar', 'bum'])
result = validator(data, context)
assert result == dict(flim=True)
def test_nested_with_bad_data():
validator = V.nested(
flam=V.to_unicode(),
flim=V.is_integer())
data = dict(
flim="Flim",
flam="Flam")
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors['flim'] == "not an integer"
validator = V.nested(
foo=V.nested(
flam=V.to_unicode(),
flim=V.is_integer()))
data = dict(
foo=dict(
flim="Flim",
flam="Flam"))
with py.test.raises(V.Invalid) as e:
validator(data)
errors = e.value.unpack_errors()
assert errors['foo']['flim'] == "not an integer"
def test_ContextValidator():
def _is_in_database(msg="it's not in the database"):
"Checks if something is in the database"
def f(value, context):
if not value in context['database']:
raise V.Invalid(msg)
return True
return f
is_in_database = _is_in_database
assert is_in_database.__name__ == _is_in_database.__name__
assert is_in_database.__doc__ == _is_in_database.__doc__
v = is_in_database()
context = dict(database=['foo', 'bar', 'bum'])
assert is_in_database()('foo', context)
with py.test.raises(V.Invalid) as e:
assert is_in_database()('flooble', context)
errors = e.value.unpack_errors()
assert errors == {None: "it's not in the database"}
with py.test.raises(V.Invalid) as e:
assert is_in_database("ting nah in db")('flooble', context)
errors = e.value.unpack_errors()
assert errors == {None: "ting nah in db"}
foo_schema = V.Schema(dict(flibble=is_in_database()))
data = dict(flibble='foo')
context = dict(database=['foo', 'bar', 'bum'])
result = foo_schema(data, context)
assert result == dict(flibble=True)
with py.test.raises(V.Invalid) as e:
data = dict(flibble='flansit')
context = dict(database=['foo', 'bar', 'bum'])
result = foo_schema(data, context)
errors = e.value.unpack_errors()
assert errors == {
None: "Problems were found in the submitted data.",
'flibble': "it's not in the database"}
validator = V.nested(flim=is_in_database('doodah'))
data = dict(flim='foo')
context = dict(database=['foo', 'bar', 'bum'])
result = validator(data, context)
assert result == dict(flim=True)