Пример #1
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    def _comparator(self, doc1, doc2) -> Any:
        _orders = self._orders

        # Add implicit sorting by name, using the last specified direction.
        if len(_orders) == 0:
            lastDirection = BaseQuery.ASCENDING
        else:
            if _orders[-1].direction == 1:
                lastDirection = BaseQuery.ASCENDING
            else:
                lastDirection = BaseQuery.DESCENDING

        orderBys = list(_orders)

        order_pb = query.StructuredQuery.Order(
            field=query.StructuredQuery.FieldReference(field_path="id"),
            direction=_enum_from_direction(lastDirection),
        )
        orderBys.append(order_pb)

        for orderBy in orderBys:
            if orderBy.field.field_path == "id":
                # If ordering by docuent id, compare resource paths.
                comp = Order()._compare_to(doc1.reference._path, doc2.reference._path)
            else:
                if (
                    orderBy.field.field_path not in doc1._data
                    or orderBy.field.field_path not in doc2._data
                ):
                    raise ValueError(
                        "Can only compare fields that exist in the "
                        "DocumentSnapshot. Please include the fields you are "
                        "ordering on in your select() call."
                    )
                v1 = doc1._data[orderBy.field.field_path]
                v2 = doc2._data[orderBy.field.field_path]
                encoded_v1 = _helpers.encode_value(v1)
                encoded_v2 = _helpers.encode_value(v2)
                comp = Order().compare(encoded_v1, encoded_v2)

            if comp != 0:
                # 1 == Ascending, -1 == Descending
                return orderBy.direction * comp

        return 0
Пример #2
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    def _comparator(self, doc1, doc2):
        _orders = self._orders

        # Add implicit sorting by name, using the last specified direction.
        if len(_orders) == 0:
            lastDirection = Query.ASCENDING
        else:
            if _orders[-1].direction == 1:
                lastDirection = Query.ASCENDING
            else:
                lastDirection = Query.DESCENDING

        orderBys = list(_orders)

        order_pb = query_pb2.StructuredQuery.Order(
            field=query_pb2.StructuredQuery.FieldReference(field_path="id"),
            direction=_enum_from_direction(lastDirection),
        )
        orderBys.append(order_pb)

        for orderBy in orderBys:
            if orderBy.field.field_path == "id":
                # If ordering by docuent id, compare resource paths.
                comp = Order()._compare_to(doc1.reference._path, doc2.reference._path)
            else:
                if (
                    orderBy.field.field_path not in doc1._data
                    or orderBy.field.field_path not in doc2._data
                ):
                    raise ValueError(
                        "Can only compare fields that exist in the "
                        "DocumentSnapshot. Please include the fields you are "
                        "ordering on in your select() call."
                    )
                v1 = doc1._data[orderBy.field.field_path]
                v2 = doc2._data[orderBy.field.field_path]
                encoded_v1 = _helpers.encode_value(v1)
                encoded_v2 = _helpers.encode_value(v2)
                comp = Order().compare(encoded_v1, encoded_v2)

            if comp != 0:
                # 1 == Ascending, -1 == Descending
                return orderBy.direction * comp

        return 0
Пример #3
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    def _make_field_filter_pb(field_path, op_string, value):
        from google.cloud.firestore_v1.proto import query_pb2
        from google.cloud.firestore_v1 import _helpers
        from google.cloud.firestore_v1.query import _enum_from_op_string

        return query_pb2.StructuredQuery.FieldFilter(
            field=query_pb2.StructuredQuery.FieldReference(field_path=field_path),
            op=_enum_from_op_string(op_string),
            value=_helpers.encode_value(value),
        )
Пример #4
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def _cursor_pb(cursor_pair: Tuple[list, bool]) -> Optional[Cursor]:
    """Convert a cursor pair to a protobuf.

    If ``cursor_pair`` is :data:`None`, just returns :data:`None`.

    Args:
        cursor_pair (Optional[Tuple[list, bool]]): Two-tuple of

            * a list of field values.
            * a ``before`` flag

    Returns:
        Optional[google.cloud.firestore_v1.types.Cursor]: A
        protobuf cursor corresponding to the values.
    """
    if cursor_pair is not None:
        data, before = cursor_pair
        value_pbs = [_helpers.encode_value(value) for value in data]
        return query.Cursor(values=value_pbs, before=before)
Пример #5
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def _cursor_pb(cursor_pair):
    """Convert a cursor pair to a protobuf.

    If ``cursor_pair`` is :data:`None`, just returns :data:`None`.

    Args:
        cursor_pair (Optional[Tuple[list, bool]]): Two-tuple of

            * a list of field values.
            * a ``before`` flag

    Returns:
        Optional[google.cloud.firestore_v1.types.Cursor]: A
        protobuf cursor corresponding to the values.
    """
    if cursor_pair is not None:
        data, before = cursor_pair
        value_pbs = [_helpers.encode_value(value) for value in data]
        return query_pb2.Cursor(values=value_pbs, before=before)
Пример #6
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    def where(self, field_path, op_string, value):
        """Filter the query on a field.

        See :meth:`~google.cloud.firestore_v1.client.Client.field_path` for
        more information on **field paths**.

        Returns a new :class:`~google.cloud.firestore_v1.query.Query` that
        filters on a specific field path, according to an operation (e.g.
        ``==`` or "equals") and a particular value to be paired with that
        operation.

        Args:
            field_path (str): A field path (``.``-delimited list of
                field names) for the field to filter on.
            op_string (str): A comparison operation in the form of a string.
                Acceptable values are ``<``, ``<=``, ``==``, ``>=``
                and ``>``.
            value (Any): The value to compare the field against in the filter.
                If ``value`` is :data:`None` or a NaN, then ``==`` is the only
                allowed operation.

        Returns:
            :class:`~google.cloud.firestore_v1.query.Query`:
            A filtered query. Acts as a copy of the current query,
            modified with the newly added filter.

        Raises:
            ValueError: If ``field_path`` is invalid.
            ValueError: If ``value`` is a NaN or :data:`None` and
                ``op_string`` is not ``==``.
        """
        field_path_module.split_field_path(field_path)  # raises

        if value is None:
            if op_string != _EQ_OP:
                raise ValueError(_BAD_OP_NAN_NULL)
            filter_pb = query_pb2.StructuredQuery.UnaryFilter(
                field=query_pb2.StructuredQuery.FieldReference(field_path=field_path),
                op=enums.StructuredQuery.UnaryFilter.Operator.IS_NULL,
            )
        elif _isnan(value):
            if op_string != _EQ_OP:
                raise ValueError(_BAD_OP_NAN_NULL)
            filter_pb = query_pb2.StructuredQuery.UnaryFilter(
                field=query_pb2.StructuredQuery.FieldReference(field_path=field_path),
                op=enums.StructuredQuery.UnaryFilter.Operator.IS_NAN,
            )
        elif isinstance(value, (transforms.Sentinel, transforms._ValueList)):
            raise ValueError(_INVALID_WHERE_TRANSFORM)
        else:
            filter_pb = query_pb2.StructuredQuery.FieldFilter(
                field=query_pb2.StructuredQuery.FieldReference(field_path=field_path),
                op=_enum_from_op_string(op_string),
                value=_helpers.encode_value(value),
            )

        new_filters = self._field_filters + (filter_pb,)
        return self.__class__(
            self._parent,
            projection=self._projection,
            field_filters=new_filters,
            orders=self._orders,
            limit=self._limit,
            offset=self._offset,
            start_at=self._start_at,
            end_at=self._end_at,
            all_descendants=self._all_descendants,
        )
def _boolean_value(b):
    return encode_value(b)
def _int_value(l):
    return encode_value(l)
Пример #9
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def _object_value(keysAndValues):
    return encode_value(keysAndValues)
Пример #10
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def _geoPoint_value(latitude, longitude):
    return encode_value(GeoPoint(latitude, longitude))
def _blob_value(b):
    return encode_value(b)
Пример #12
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def _string_value(s):
    if not isinstance(s, six.text_type):
        s = six.u(s)
    return encode_value(s)
Пример #13
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def _boolean_value(b):
    return encode_value(b)
Пример #14
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def _double_value(d):
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(d)
Пример #15
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def _string_value(s):
    return encode_value(s)
def _object_value(keysAndValues):
    return encode_value(keysAndValues)
def _array_value(values=[]):
    return encode_value(values)
def _geoPoint_value(latitude, longitude):
    return encode_value(GeoPoint(latitude, longitude))
def nullValue():
    return encode_value(None)
def _double_value(d):
    return encode_value(d)
Пример #21
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def _int_value(value):
    return encode_value(value)
Пример #22
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def _blob_value(b):
    return encode_value(b)
Пример #23
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def _int_value(value):
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(value)
def _string_value(s):
    if not isinstance(s, six.text_type):
        s = six.u(s)
    return encode_value(s)
Пример #25
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def _double_value(d):
    return encode_value(d)
Пример #26
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def _string_value(s):
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(s)
Пример #27
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def _string_value(s):
    if not isinstance(s, str):
        s = str(s)
    return encode_value(s)
Пример #28
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def _blob_value(b):
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(b)
Пример #29
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def nullValue():
    return encode_value(None)
Пример #30
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def nullValue():
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(None)
Пример #31
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def _array_value(values=[]):
    return encode_value(values)
Пример #32
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def _geoPoint_value(latitude, longitude):
    from google.cloud.firestore_v1._helpers import encode_value
    from google.cloud.firestore_v1._helpers import GeoPoint

    return encode_value(GeoPoint(latitude, longitude))
Пример #33
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    def where(self, field_path: str, op_string: str, value) -> "BaseQuery":
        """Filter the query on a field.

        See :meth:`~google.cloud.firestore_v1.client.Client.field_path` for
        more information on **field paths**.

        Returns a new :class:`~google.cloud.firestore_v1.query.Query` that
        filters on a specific field path, according to an operation (e.g.
        ``==`` or "equals") and a particular value to be paired with that
        operation.

        Args:
            field_path (str): A field path (``.``-delimited list of
                field names) for the field to filter on.
            op_string (str): A comparison operation in the form of a string.
                Acceptable values are ``<``, ``<=``, ``==``, ``>=``, ``>``,
                ``in``, ``array_contains`` and ``array_contains_any``.
            value (Any): The value to compare the field against in the filter.
                If ``value`` is :data:`None` or a NaN, then ``==`` is the only
                allowed operation.

        Returns:
            :class:`~google.cloud.firestore_v1.query.Query`:
            A filtered query. Acts as a copy of the current query,
            modified with the newly added filter.

        Raises:
            ValueError: If ``field_path`` is invalid.
            ValueError: If ``value`` is a NaN or :data:`None` and
                ``op_string`` is not ``==``.
        """
        field_path_module.split_field_path(field_path)  # raises

        if value is None:
            if op_string != _EQ_OP:
                raise ValueError(_BAD_OP_NAN_NULL)
            filter_pb = query.StructuredQuery.UnaryFilter(
                field=query.StructuredQuery.FieldReference(field_path=field_path),
                op=StructuredQuery.UnaryFilter.Operator.IS_NULL,
            )
        elif _isnan(value):
            if op_string != _EQ_OP:
                raise ValueError(_BAD_OP_NAN_NULL)
            filter_pb = query.StructuredQuery.UnaryFilter(
                field=query.StructuredQuery.FieldReference(field_path=field_path),
                op=StructuredQuery.UnaryFilter.Operator.IS_NAN,
            )
        elif isinstance(value, (transforms.Sentinel, transforms._ValueList)):
            raise ValueError(_INVALID_WHERE_TRANSFORM)
        else:
            filter_pb = query.StructuredQuery.FieldFilter(
                field=query.StructuredQuery.FieldReference(field_path=field_path),
                op=_enum_from_op_string(op_string),
                value=_helpers.encode_value(value),
            )

        new_filters = self._field_filters + (filter_pb,)
        return self.__class__(
            self._parent,
            projection=self._projection,
            field_filters=new_filters,
            orders=self._orders,
            limit=self._limit,
            offset=self._offset,
            limit_to_last=self._limit_to_last,
            start_at=self._start_at,
            end_at=self._end_at,
            all_descendants=self._all_descendants,
        )
Пример #34
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def _array_value(values=[]):
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(values)
Пример #35
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def _object_value(keysAndValues):
    from google.cloud.firestore_v1._helpers import encode_value

    return encode_value(keysAndValues)
Пример #36
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def _int_value(l):
    return encode_value(l)