组合上下文值（过滤器和查询集） - Python - Django 视图 - 过滤器和用户

Question

我需要在我的python Django 网站的views.py 中组合两个上下文值。一个是屏幕顶部的过滤器，用于过滤下面所有显示的数据，它看起来像这样......

context['filter'] = Sheet_Building_Filter(request.GET, queryset=Sheet_Building.objects.all())

另一个不是页面过滤器，但它过滤并返回来自当前登录用户的所有数据，看起来像......

context['user'] = Sheet_Building.objects.filter(user=request.user)

我需要将它们组合起来以同时在 HTML 中循环遍历它们。我认为这样的事情会起作用，但它没有......

    context['user_and_filter'] = Sheet_Building_Filter(request.GET, queryset=Sheet_Building.objects.filter(user=request.user))

这只是显示数据而不显示过滤器本身。我不确定过滤器是否有效，但没有显示要过滤的字段，或者它是否根本不起作用。我不知道为什么，我找不到过滤器的任何信息，并且用户数据被组合成一个值。我需要将它结合起来，因为我不能在 HTML 中执行嵌套的 for 循环。代码如下。谢谢！

views.py

def listdata_building(request):
    sheet = Sheet_Building.objects.all()
    context = {"sheet": sheet}

    context['user_and_filter'] = Sheet_Building_Filter(request.GET, queryset=Sheet_Building.objects.filter(user=request.user))
    context['user'] = Sheet_Building.objects.filter(user=request.user)

    return render(request, 'sheets/individual/list_data_building.html', context)

models.py

class Sheet_Building(models.Model):
    user = models.ForeignKey(User, default=True, related_name="Building", on_delete=models.PROTECT)
    date = models.DateField(blank=True, null=True, verbose_name='Inspection Date')
    time = models.TimeField(blank=True, null=True, verbose_name='Inspection Time')
    inspection_type = models.CharField(max_length=16, choices=INSPECTION_TYPE_BI, blank=True, null=True, verbose_name='Inspection Type')
    flname = models.CharField(max_length=25, blank=True, null=True, verbose_name='Inspector')
    report_date = models.DateField(blank=True, null=True, verbose_name='Report Date')
    department = models.CharField(max_length=29, choices=DEPARTMENT_BI, blank=True, null=True, verbose_name='Department')
    responsible_name = models.CharField(max_length=25, blank=True, null=True, verbose_name='Responsible Person')
    building_address = models.CharField(max_length=52, choices=BUILDING_ADDRESS, blank=True, null=True, verbose_name='Building and Address')
    floor = models.CharField(max_length=8, choices=FLOOR_LEVEL_BI, blank=True, null=True, verbose_name='Floor / Level')
    room = models.CharField(max_length=35, blank=True, null=True, verbose_name='Area / Room')
    location = models.CharField(max_length=10, choices=LOCATION_BI, blank=True, null=True, verbose_name='Location')
    priority = models.IntegerField(blank=True, null=True, verbose_name='Priority')
    hazard_level = models.CharField(max_length=20, choices=HAZARD_LEVEL_BI, blank=True, null=True, verbose_name='Hazard Level')
    concern = models.CharField(max_length=31, choices=CONCERN_BI, blank=True, null=True, verbose_name='Concern')
    codes = models.CharField(max_length=51, choices=CODES_BI, blank=True, null=True, verbose_name='Element and Code')
    correction = models.TextField(max_length=160, blank=True, null=True, verbose_name='Corrective Action')
    image = models.ImageField(blank=True, null=True, verbose_name='Image', upload_to='gallery')
    notes = models.TextField(max_length=500, blank=True, null=True, verbose_name="Inspector's note")

    class Meta:
        ordering = ['-pk']

    def __str__(self):
        return self.flname or 'None'

    def get_absolute_url(self):
        return reverse('list_building')

filter.py

class Sheet_Building_Filter(django_filters.FilterSet):
    class Meta:
        model = Sheet_Building
        fields = '__all__'
        exclude = ['image', 'time', 'location', 'correction', 'notes', 'floor', 'room', 'priority', 'responsible_name', 'user']

HTML：

<div class="filterbar_BI">
    <form method="get">
        {{ user_and_filter.form }}
        <button style="background-color: #2f3d50; border-radius: 16px;" class="filterbutton_BI btn btn-primary" type="submit">Search</button>
    </form>
</div>

{% if user_and_filter %}
    {% for post in user_and_filter %}
        {{ post.date }}
        {{ post.time }}
        {{ post.inspection_type }}
    {% endfor %}
{% endfor %}

Answer 1

在您看来，sheet = Sheet_Building.objects.all() 包含该字段中的所有数据，无论是否来自登录用户。那你为什么要再次过滤它。您是否正在尝试获取不属于登录用户的数据。