def make_env(self, **databases):
logger.debug('Confguring {0} with {1}...'.format(self, databases))
assert databases
assert DEFAULT_DB_NAME in databases, (
'database "{0}" must be configured'.format(DEFAULT_DB_NAME))
env = {}
for name, settings in databases.iteritems():
env[name] = get_db(settings)
return env
def setUp(self):
self.db = get_db(backend='doqu.ext.shove_db')
TMP_DB_PATH = '_test_shaping.shelve'
class CatchAll(doqu.Document):
pass
class Person(doqu.Document):
def __unicode__(self):
return u'{first_name} {last_name}'.format(
first_name = self.get('first_name', '?'),
last_name = self.get('last_name', '?'),
)
db = doqu.get_db(backend='doqu.ext.shelve_db', path=TMP_DB_PATH)
db.clear()
raw_items = yaml.load(open('tests/people.yaml'))
for data in raw_items:
Person(**data).save(db)
q = CatchAll.objects(db).order_by('birth_country')
people = Person.objects(db).order_by('birth_country')
__doc__ = """
>>> from dark.aggregates import Avg, Count, Max, Median
>>> from dark.shaping import cast_cons, stdev, summary
# note: function cast_cons() is a simple wrapper for cast(), prints a basic table
