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# -*- coding: utf-8 -*-
import json
from odoo import fields
def monkey_patch(cls):
""" Return a method decorator to monkey-patch the given class. """
def decorate(func):
name = func.__name__
func.super = getattr(cls, name, None)
setattr(cls, name, func)
return func
return decorate
#
# Implement sparse fields by monkey-patching fields.Field
#
fields.Field.__doc__ += """
.. _field-sparse:
.. rubric:: Sparse fields
Sparse fields have a very small probability of being not null. Therefore
many such fields can be serialized compactly into a common location, the
latter being a so-called "serialized" field.
:param sparse: the name of the field where the value of this field must
be stored.
"""
@monkey_patch(fields.Field)
def _get_attrs(self, model, name):
attrs = _get_attrs.super(self, model, name)
if attrs.get('sparse'):
# by default, sparse fields are not stored and not copied
attrs['store'] = False
attrs['copy'] = attrs.get('copy', False)
attrs['compute'] = self._compute_sparse
if not attrs.get('readonly'):
attrs['inverse'] = self._inverse_sparse
return attrs
@monkey_patch(fields.Field)
def _compute_sparse(self, records):
for record in records:
values = record[self.sparse]
record[self.name] = values.get(self.name)
if self.relational:
for record in records:
record[self.name] = record[self.name].exists()
@monkey_patch(fields.Field)
def _inverse_sparse(self, records):
for record in records:
values = record[self.sparse]
value = self.convert_to_read(record[self.name], record, use_name_get=False)
if value:
if values.get(self.name) != value:
values[self.name] = value
record[self.sparse] = values
else:
if self.name in values:
values.pop(self.name)
record[self.sparse] = values
#
# Definition and implementation of serialized fields
#
class Serialized(fields.Field):
""" Serialized fields provide the storage for sparse fields. """
type = 'serialized'
_slots = {
'prefetch': False, # not prefetched by default
}
column_type = ('text', 'text')
def convert_to_column(self, value, record, values=None):
return json.dumps(value)
def convert_to_cache(self, value, record, validate=True):
# cache format: dict
value = value or {}
return value if isinstance(value, dict) else json.loads(value)
fields.Serialized = Serialized
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