Ross
89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
import django_tables2 as tables
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from django_tables2.utils import A
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from generic.tables import SingleImageColumn, SelectionTable
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from .models import AnatomyQuestion, UserAnswer
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from django.utils.html import format_html
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from easy_thumbnails.files import get_thumbnailer
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from easy_thumbnails.exceptions import InvalidImageFormatError
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#from generic.tables import UserAnswerTable
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class AnatomyQuestionTable(SelectionTable):
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edit = tables.LinkColumn(
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"anatomy:anatomy_question_update", text="Edit", args=[A("pk")], orderable=False
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)
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view = tables.LinkColumn(
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"anatomy:question_detail", text="View", args=[A("pk")], orderable=False
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)
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image = SingleImageColumn("image", orderable=False)
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# clone = tables.LinkColumn('anatomy:anatomy_question_clone',
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# text='Clone',
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# args=[A('pk')],
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# orderable=False)
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delete = tables.LinkColumn(
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"anatomy:question_delete", text="Delete", args=[A("pk")], orderable=False
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)
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exams = tables.ManyToManyColumn(verbose_name="Exams")
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class Meta(SelectionTable.Meta):
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model = AnatomyQuestion
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template_name = "django_tables2/bootstrap4.html"
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fields = (
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"question_type",
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"description",
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"examination",
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"modality",
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"region",
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"body_part",
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"created_date",
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"open_access",
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"author",
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)
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sequence = ("view", "image", "exams")
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order_by = "-created_date"
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def __init__(self, data=None, *args, **kwargs):
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super().__init__(
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data.prefetch_related(
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"answers", "question_type", "body_part", "modality", "region", "examination", "exams", "author"
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),
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*args,
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**kwargs,
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)
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class AnatomyUserAnswerTable(tables.Table):
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select = tables.CheckBoxColumn(accessor=("pk"))
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delete = tables.LinkColumn(
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"anatomy:user_answer_delete", text="Delete", args=[A("pk")], orderable=False
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)
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view = tables.LinkColumn('anatomy:user_answer_view',
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text='View',
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args=[A('pk')],
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orderable=False)
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class Meta:
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model = UserAnswer
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template_name = "django_tables2/bootstrap4.html"
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fields = (
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"cid",
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"user",
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"question",
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"answer",
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#"answer_compare",
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"exam",
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"created",
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"updated",
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)
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def __init__(self, data=None, *args, **kwargs):
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super().__init__(
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data.prefetch_related(
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"exam", "question", "question__question_type", "question__modality", "question__examination", "question__region", "user"
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),
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*args,
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**kwargs,
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)
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