def update(self, adict):
""" Part of dictionary interface for field access"""
if not self.mutable:
raise ValueError, "instance isn't mutable!"
if not self._unique:
raise ValueError, "cannot update without unique index!"
# call (normally empty) hook for modifying the update
d=self.onUpdate(adict)
# Check that the fields in the dictionary are kosher
self._validateFields(d)
# do the actual update
self._update_raw(d)
# if successful, modify the object's field data,
# taking any wrapped values out of their wrappers
unwrapped=dict((k, unwrap(v)) for k,v in d.iteritems())
super(PyDO, self).update(unwrapped)
def new(cls, refetch=None, **fieldData):
"""create and return a new data class instance using the values in
fieldData. This will also effect an INSERT into the database. If refetch
is true, effectively do a getUnique on cls.
"""
if not cls.mutable:
raise ValueError, 'cannot make a new immutable object!'
if refetch and not cls._unique:
raise ValueError, "cannot refetch without a unique index!"
# sanity check the field data
cls._validateFields(fieldData)
conn = cls.getDBI()
if not conn.auto_increment:
for s, sn in cls._sequenced.items():
if not fieldData.has_key(s):
fieldData[s] = conn.getSequence(sn)
cols=fieldData.keys()
vals=[fieldData[c] for c in cols]
converter=conn.getConverter()
converted=map(converter, vals)
sql = 'INSERT INTO %s (%s) VALUES (%s)' \
% (cls.table,
', '.join(cols),
', '.join(converted))
res = conn.execute(sql, converter.values)
if res != 1:
raise PyDOError, "inserted %s rows instead of 1" % res
if conn.auto_increment:
for k, v in cls._sequenced.items():
if not fieldData.has_key(k):
fieldData[k] = conn.getAutoIncrement(v)
# unwrap any wrapped values in fieldData
fieldData=dict((k, unwrap(v)) for k,v in fieldData.iteritems())
if not refetch:
return cls(fieldData)
return cls.getUnique(**fieldData)