yamlns 0.12.3

YAML serializable dictionary with extra attribute accessors and more

yamlns.namespace

An extended dictionary with convenient attribute access, YAML serialization and testing utilities.

• Convenient access:
  • Attribute access x.field and regular key access x.["field"]
  • Deep attributes x['parent.child']
• YAML serialization with x.dump() and x.load(), with those convenient differences from pure YAML specs:
  • YAML mappings (dicts) are loaded as namespaces, instead of Python dict. They preserve the insertion order, as they are based on odict.
  • YAML floats are loaded as Decimal and Decimal objects are stored as regular YAML floats. This avoids losing precision when succesive load/store cycles are alternated.
  • YAML dates are maped to an extension of datetime.date which provides output formats as attributes which are convenient to call in format templates.
  • Support for numpy arrays (dump only)
• Tools to format templates with complex namespace structures.
  • Given the attribute like access, format templates result cleaner with multilevel dicts.
  • Function to extract an empty YAML scheletton given a template with substitutions.
  • Function to fill a format template like file with a YAML file.
  • CLI tool to run those two functions (nstemplate)
• unittest assertions
  • assertNsEqual to compare json like structures among them or with yaml strings and display the difference in a nice line by line diff.
  • assertNsContains to ensure that a json like structure is a superset of the expectation
• pyunit inegration
  • pytestutils.assert_ns_equal: equivalent to assertNsEqual to be used in pytest
  • pytestutils.assert_ns_contains: equivalent to assertNsContains to be used in pytest
  • pytestutils.yaml_snapshot: fixture to detect namespace changes between test executions in yaml format.
  • pytestutils.text_snapshot: fixture to detect str changes between test executions in plain text format.

Example

>>> from yamlns import namespace as ns
>>> n = ns()
>>> n.attribute1 = "value1"
>>> ns['attribute2'] = "value2"
>>> print(n.dump())
attribute1: value1
attribute2: value2

>>> n.attribute2
'value2'
>>> n['attribute1']
'value1'

>>> n.update(ns.loads("""
... attribute3: value3
... attribute4:
...   attribute5: [ 4,3,2,value5 ] 
...   attribute6: 2015-09-23
... attribute7:
... - value7.1
... - value7.2
... """))
>>> n.attribute4.attribute5
[4, 3, 2, 'value5']
>>> n.attribute4.attribute6
datetime.date(2015,9,23)
>>> n.attribute7
['value7.1', 'value7.2']

Templating example:

>>> template = (
...     "{client.name} {client.midname[0]}. {client.surname} buys {item.name} "
...     "by {item.price.amount:0.02f} {item.price.coin}."
... )
...
>>> print(ns.fromTemplate(template).dump())
client:
  name: ''
  midname: ''
  surname: ''
item:
  name: ''
  price:
    amount: ''
    coin: ''

>>> template.format(**ns.loads("""
client:
  name: 'John'
  midname: 'Archivald'
  surname: 'Doe'
item:
  name: 'Apples'
  price:
    amount: 30
    coin: 'dollars'
"""))
John A. Doe buys Apples by 30.00 dollars.

Command line tools usage

nstemplate apply <template> <yamlfile> <output>
nstemplate extract <template> <yamlskeleton>
cat file.json | json2yaml > file.yaml

Testing structure content

class MyTest(unittest.TestCase):

    from yamlns.testutils import assertNsEqual, assertNsContains

    def test(self):
        data = dict(letters = dict(
            (letter, i) for i,letter in enumerate('murcielago'))
        )
        self.assertNsEqual(data, """\
            letters:
                a: 7
                c: 3
                e: 5
                g: 8
                i: 4
                l: 6
                m: 0
                o: 9
                r: 2
                u: 1
        """)

        # Data is a superset of the expectation
        self.assertNsContains(data, """\
            letters:
                a: 7
                e: 5
                i: 4
                o: 9
                u: 1
        """)

Pytest integration

The following helper tools for pytest are provided:

• pytestutils.assert_ns_equal: equivalent to assertNsEqual to be used in pytest
• pytestutils.assert_ns_contains: equivalent to assertNsContains to be used in pytest
• pytestutils.yaml_snapshot: fixture to detect changes estructure changes between test executions in yaml format.
• pytestutils.text_snapshot: fixture to detect changes text changes between test executions.

assert_ns_equal

A custom assertion that normalizes both sides into namespaces and dumps them as yaml, which is compared side by side.

The normalization takes place, first if the data is a string, it is parsed as yaml. Then the resulting data is converted recursively into namespaces, ordering keys alfabetically. And finally the result is dumped as yaml to be compared line by line.

from yamlns.pytestutils import assert_ns_equal

def test_with_assert_ns_equal():
    data = dict(hello='world')
    assert_ns_equal(data, """\
        hello: world
    """)

assert_ns_contains

A custom assertion similar to assert_ns_equal but ignores any key not pressent in the expectation.

from yamlns.pytestutils import assert_ns_equal

def test_with_assert_ns_equal():
    data = dict(hello='world', ignored=data)
    assert_ns_equal(data, """\
        hello: world
    """)

yaml_snapshot and text_snapshot

yaml_snapshot and text_snapshot are fixtures available whenever you install yamlns. You can use it to make snapshots of data that can be compared to previous executions. Snapshots are stored into testdata/snapshots/ and are given a name that depends on the fully qualified name of the test. The ones with the .expected suffix are accepted snapshots, while the ones ending with .result are generated when the current execution does not match.

If you consider the .result is valid, just rename it as .expected. For convenience, the assert message indicates the commandline to perform the renaming.

text_snapshot just dumps verbatim text while yaml_snapshot compares the normalized dump of the data just like assert_ns_equal does.

def test_with_yaml_snapshot(yaml_snapshot):
    data = dict(hello='world')
    yaml_snapshot(data)

def test_with_text_snapshot(text_snapshot):
    who = 'world'
    text_snapshot('hello {}'.format(who))