# -*- coding: utf-8 -*- # import data_tree from rest_framework import serializers __all__ = [ 'DynamicMappingField', 'ReadableHiddenField', 'CustomMetaDictField', ] # # DynamicMappingField # ------------------- class DynamicMappingField(serializers.Field): """ 一个可以根据用户行为而动态改变的字段 For example, Define attribute `mapping_rules` field_name = meta mapping_rules = { 'default': serializers.JSONField(), 'type': { 'apply_asset': { 'default': serializers.CharField(label='default'), 'get': ApplyAssetSerializer, 'post': ApproveAssetSerializer, }, 'apply_application': ApplyApplicationSerializer, 'login_confirm': LoginConfirmSerializer, 'login_times': LoginTimesSerializer }, 'category': { 'apply': ApplySerializer, 'login': LoginSerializer } } """ def __init__(self, mapping_rules, *args, **kwargs): assert isinstance(mapping_rules, dict), ( '`mapping_rule` argument expect type `dict`, gut get `{}`' ''.format(type(mapping_rules)) ) assert 'default' in mapping_rules, ( "mapping_rules['default'] is a required, but only get `{}`" "".format(list(mapping_rules.keys())) ) self.mapping_rules = mapping_rules self.mapping_tree = self._build_mapping_tree() super().__init__(*args, **kwargs) def _build_mapping_tree(self): tree = data_tree.Data_tree_node(arg_data=self.mapping_rules) return tree def to_internal_value(self, data): """ 实际是一个虚拟字段所以不返回任何值 """ pass def to_representation(self, value): """ 实际是一个虚拟字段所以不返回任何值 """ pass # # ReadableHiddenField # ------------------- class ReadableHiddenField(serializers.HiddenField): """ 可读的 HiddenField """ def __init__(self, **kwargs): super().__init__(**kwargs) self.write_only = False def to_representation(self, value): if hasattr(value, 'id'): return getattr(value, 'id') return value # # OtherField # ---------- # TODO: DELETE 替换完成后删除 class CustomMetaDictField(serializers.DictField): """ In use: RemoteApp params field CommandStorage meta field ReplayStorage meta field """ type_fields_map = {} default_type = None convert_key_remove_type_prefix = False convert_key_to_upper = False def filter_attribute(self, attribute, instance): fields = self.type_fields_map.get(instance.type, []) for field in fields: if field.get('write_only', False): attribute.pop(field['name'], None) return attribute def get_attribute(self, instance): """ 序列化时调用 """ attribute = super().get_attribute(instance) attribute = self.filter_attribute(attribute, instance) return attribute def convert_value_key_remove_type_prefix(self, dictionary, value): if not self.convert_key_remove_type_prefix: return value tp = dictionary.get('type') prefix = '{}_'.format(tp) convert_value = {} for k, v in value.items(): if k.lower().startswith(prefix): k = k.lower().split(prefix, 1)[1] convert_value[k] = v return convert_value def convert_value_key_to_upper(self, value): if not self.convert_key_to_upper: return value convert_value = {k.upper(): v for k, v in value.items()} return convert_value def convert_value_key(self, dictionary, value): value = self.convert_value_key_remove_type_prefix(dictionary, value) value = self.convert_value_key_to_upper(value) return value def filter_value_key(self, dictionary, value): tp = dictionary.get('type') fields = self.type_fields_map.get(tp, []) fields_names = [field['name'] for field in fields] filter_value = {k: v for k, v in value.items() if k in fields_names} return filter_value @staticmethod def strip_value(value): new_value = {} for k, v in value.items(): if isinstance(v, str): v = v.strip() new_value[k] = v return new_value def get_value(self, dictionary): """ 反序列化时调用 """ value = super().get_value(dictionary) value = self.convert_value_key(dictionary, value) value = self.filter_value_key(dictionary, value) value = self.strip_value(value) return value