1 files changed, 95 insertions, 0 deletions
diff --git a/addons/base_sparse_field/models/fields.py b/addons/base_sparse_field/models/fields.py
new file mode 100644
index 00000000..94242297
--- /dev/null
+++ b/addons/base_sparse_field/models/fields.py
@@ -0,0 +1,95 @@
+# -*- 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.
+"""
+fields.Field.sparse = None
+
+@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'
+    column_type = ('text', 'text')
+
+    prefetch = False                    # not prefetched by default
+
+    def convert_to_column(self, value, record, values=None, validate=True):
+        return self.convert_to_cache(value, record, validate=validate)
+
+    def convert_to_cache(self, value, record, validate=True):
+        # cache format: json.dumps(value) or None
+        return json.dumps(value) if isinstance(value, dict) else (value or None)
+
+    def convert_to_record(self, value, record):
+        return json.loads(value or "{}")
+
+
+fields.Serialized = Serialized