Skip to content

merge_mixin

MergeModelMixin

Used to merge models instances returned by database, but already initialized to ormar Models.keys

Models can duplicate during joins when parent model has multiple child rows, in the end all parent (main) models should be unique.

Source code in ormar\models\mixins\merge_mixin.py 
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
class MergeModelMixin:
    """
    Used to merge models instances returned by database,
    but already initialized to ormar Models.keys

    Models can duplicate during joins when parent model has multiple child rows,
    in the end all parent (main) models should be unique.
    """

    @classmethod
    def _recursive_add(cls, model_group: List["Model"]) -> List["Model"]:
        """
        Instead of accumulating the model additions one by one, this recursively adds
        the models. E.G.
        [1, 2, 3, 4].accumulate_add() would give [3, 3, 4], then [6, 4], then [10]
        where this method looks like
        [1, 2, 3, 4].recursive_add() gives [[3], [7]], [10]
        It's the same number of adds, but it gives better O(N) performance on sublists
        """
        if len(model_group) <= 1:
            return model_group

        added_values = []
        iterable_group = iter(model_group)
        for model in iterable_group:
            next_model = next(iterable_group, None)
            if next_model is not None:
                combined = cls.merge_two_instances(next_model, model)
            else:
                combined = model
            added_values.append(combined)

        return cls._recursive_add(added_values)

    @classmethod
    def merge_instances_list(cls, result_rows: List["Model"]) -> List["Model"]:
        """
        Merges a list of models into list of unique models.

        Models can duplicate during joins when parent model has multiple child rows,
        in the end all parent (main) models should be unique.

        :param result_rows: list of already initialized Models with child models
        populated, each instance is one row in db and some models can duplicate
        :type result_rows: List["Model"]
        :return: list of merged models where each main model is unique
        :rtype: List["Model"]
        """
        merged_rows: List["Model"] = []
        grouped_instances: Dict = {}

        for model in result_rows:
            grouped_instances.setdefault(model.pk, []).append(model)

        for group in grouped_instances.values():
            model = cls._recursive_add(group)[0]
            merged_rows.append(model)

        return merged_rows

    @classmethod
    def merge_two_instances(
        cls, one: "Model", other: "Model", relation_map: Optional[Dict] = None
    ) -> "Model":
        """
        Merges current (other) Model and previous one (one) and returns the current
        Model instance with data merged from previous one.

        If needed it's calling itself recurrently and merges also children models.

        :param relation_map: map of models relations to follow
        :type relation_map: Dict
        :param one: previous model instance
        :type one: Model
        :param other: current model instance
        :type other: Model
        :return: current Model instance with data merged from previous one.
        :rtype: Model
        """
        relation_map = (
            relation_map
            if relation_map is not None
            else translate_list_to_dict(one._iterate_related_models())
        )
        for field_name in relation_map:
            current_field = getattr(one, field_name)
            other_value = getattr(other, field_name, [])
            if isinstance(current_field, list):
                value_to_set = cls._merge_items_lists(
                    field_name=field_name,
                    current_field=current_field,
                    other_value=other_value,
                    relation_map=relation_map,
                )
                setattr(other, field_name, value_to_set)
            elif (
                isinstance(current_field, ormar.Model)
                and isinstance(other_value, ormar.Model)
                and current_field.pk == other_value.pk
            ):
                setattr(
                    other,
                    field_name,
                    cls.merge_two_instances(
                        current_field,
                        other_value,
                        relation_map=one._skip_ellipsis(  # type: ignore
                            relation_map, field_name, default_return=dict()
                        ),
                    ),
                )
        other.set_save_status(True)
        return other

    @classmethod
    def _merge_items_lists(
        cls,
        field_name: str,
        current_field: List,
        other_value: List,
        relation_map: Optional[Dict],
    ) -> List:
        """
        Takes two list of nested models and process them going deeper
        according with the map.

        If model from one's list is in other -> they are merged with relations
        to follow passed from map.

        If one's model is not in other it's simply appended to the list.

        :param field_name: name of the current relation field
        :type field_name: str
        :param current_field: list of nested models from one model
        :type current_field: List[Model]
        :param other_value: list of nested models from other model
        :type other_value: List[Model]
        :param relation_map: map of relations to follow
        :type relation_map: Dict
        :return: merged list of models
        :rtype: List[Model]
        """
        value_to_set = [x for x in other_value]
        for cur_field in current_field:
            if cur_field in other_value:
                old_value = next((x for x in other_value if x == cur_field), None)
                new_val = cls.merge_two_instances(
                    cur_field,
                    cast("Model", old_value),
                    relation_map=cur_field._skip_ellipsis(  # type: ignore
                        relation_map, field_name, default_return=dict()
                    ),
                )
                value_to_set = [x for x in value_to_set if x != cur_field] + [new_val]
            else:
                value_to_set.append(cur_field)
        return value_to_set

merge_instances_list(result_rows) classmethod

Merges a list of models into list of unique models.

Models can duplicate during joins when parent model has multiple child rows, in the end all parent (main) models should be unique.

Parameters:

Name Type Description Default
result_rows List[Model]

list of already initialized Models with child models populated, each instance is one row in db and some models can duplicate

 required

Returns:

Type Description
List["Model"]

list of merged models where each main model is unique
Source code in ormar\models\mixins\merge_mixin.py 
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
@classmethod
def merge_instances_list(cls, result_rows: List["Model"]) -> List["Model"]:
    """
    Merges a list of models into list of unique models.

    Models can duplicate during joins when parent model has multiple child rows,
    in the end all parent (main) models should be unique.

    :param result_rows: list of already initialized Models with child models
    populated, each instance is one row in db and some models can duplicate
    :type result_rows: List["Model"]
    :return: list of merged models where each main model is unique
    :rtype: List["Model"]
    """
    merged_rows: List["Model"] = []
    grouped_instances: Dict = {}

    for model in result_rows:
        grouped_instances.setdefault(model.pk, []).append(model)

    for group in grouped_instances.values():
        model = cls._recursive_add(group)[0]
        merged_rows.append(model)

    return merged_rows

merge_two_instances(one, other, relation_map=None) classmethod

Merges current (other) Model and previous one (one) and returns the current Model instance with data merged from previous one.

If needed it's calling itself recurrently and merges also children models.

Parameters:

Name Type Description Default
relation_map Optional[Dict]

map of models relations to follow

 None
one Model

previous model instance

 required
other Model

current model instance

 required

Returns:

Type Description
Model

current Model instance with data merged from previous one.
Source code in ormar\models\mixins\merge_mixin.py 
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
@classmethod
def merge_two_instances(
    cls, one: "Model", other: "Model", relation_map: Optional[Dict] = None
) -> "Model":
    """
    Merges current (other) Model and previous one (one) and returns the current
    Model instance with data merged from previous one.

    If needed it's calling itself recurrently and merges also children models.

    :param relation_map: map of models relations to follow
    :type relation_map: Dict
    :param one: previous model instance
    :type one: Model
    :param other: current model instance
    :type other: Model
    :return: current Model instance with data merged from previous one.
    :rtype: Model
    """
    relation_map = (
        relation_map
        if relation_map is not None
        else translate_list_to_dict(one._iterate_related_models())
    )
    for field_name in relation_map:
        current_field = getattr(one, field_name)
        other_value = getattr(other, field_name, [])
        if isinstance(current_field, list):
            value_to_set = cls._merge_items_lists(
                field_name=field_name,
                current_field=current_field,
                other_value=other_value,
                relation_map=relation_map,
            )
            setattr(other, field_name, value_to_set)
        elif (
            isinstance(current_field, ormar.Model)
            and isinstance(other_value, ormar.Model)
            and current_field.pk == other_value.pk
        ):
            setattr(
                other,
                field_name,
                cls.merge_two_instances(
                    current_field,
                    other_value,
                    relation_map=one._skip_ellipsis(  # type: ignore
                        relation_map, field_name, default_return=dict()
                    ),
                ),
            )
    other.set_save_status(True)
    return other