function p=cycling_parameters
p.M = 195.084;
p.rho = 21.45;
p.time = linspace(0, 30, 500);
p.m_V__M_Pt = 1e6/p.M;
p.Vm_Pt = 9.09;
p.R0_log = -8.1963;
p.k_dis_log = -13;
p.k_rdp_log = -11;
p.R0 = 10^(p.R0_log);
p.k_dis = 10^(p.k_dis_log);
p.k_rdp = 10^(p.k_rdp_log);
%%% geometry %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Finite Volume Method with equidistant elements
p.r_max = 10.1e-9; % [m] maximum radius of PRD
p.n = 301; % number of elements of FVM
p.dr = p.r_max/p.n; % [m] length of elements, equidistant
p.r = linspace(5e-10,p.r_max,p.n+1)'; % [m] boundaries of elements
p.r_m = p.r(1:p.n)+p.dr/2; % [m] center of elements
%log normal initial distribution
S = 0.314;
M = 0.944;
p.x0 = 1./(S.*sqrt(2.*pi).*p.r_m*1e9).*exp((-(log(p.r_m*1e9)-M).^2)./(2.*S.^2));
p.r_squared = p.r_m.^2; % [m^2] squares of the radius (center of elements)
p.r_cubed = p.r_m.^3; % [m^3] cubes of the radius (center of elements)
p.MN_0 = trapz(p.r_m, p.r_cubed.*p.x0); % Eq. 2.11 denominator
p.M_0 = 4/3*pi*p.rho*p.MN_0;
p.I_V = 1; %ionomer volume fraction in the catalyst layer
我有一个要在带注释的字段上过滤的ViewSet,通常您可以只在django查询集中的注释上过滤,但是上面结合了此序列化器:
class EventViewSet(viewsets.ModelViewSet):
queryset = Event.objects.all()
serializer_class = EventSerializer
def get_queryset(self):
return super().get_queryset().annotate(
is_active=ExpressionWrapper(
Q(start_date__lt=timezone.now()) & Q(end_date__gt=timezone.now()),
output_field=BooleanField()
),
)
search_fields = [
'name',
'short_desc',
'desc',
]
filterset_fields = [
'is_active',
]
我还没有深入研究源代码,但是我认为它会为class EventSerializer(serializers.ModelSerializer):
is_active = serializers.SerializerMethodField()
@staticmethod
def get_is_active(obj):
return obj.is_active
class Meta:
model = Event
fields = [
'timestamp',
'id',
'name',
'short_desc',
'desc',
'start_date',
'end_date',
'is_active',
]
中的字段做一个简单的qs.filter,但是我遇到了一个无法解释太多错误的漂亮错误(在至少对我来说):
filterset_fields