remove unused code

hawc/apps/animal/models.py

@@ -126,7 +126,6 @@ class Experiment(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "experiments"
     BREADCRUMB_PARENT = "study"
 
     def __str__(self):
@@ -277,7 +276,6 @@ class AnimalGroup(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "animal_groups"
     BREADCRUMB_PARENT = "experiment"
 
     def __str__(self):
@@ -449,7 +447,6 @@ class DosingRegime(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "dose_regime"
     BREADCRUMB_PARENT = "dosed_animals"
 
     def __str__(self):
@@ -541,8 +538,6 @@ class DoseGroup(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "doses"
-
     class Meta:
         ordering = ("dose_units", "dose_group_id")
 
@@ -767,7 +762,6 @@ class Endpoint(BaseEndpoint):
     )
     additional_fields = models.TextField(default="{}")
 
-    COPY_NAME = "endpoints"
     BREADCRUMB_PARENT = "animal_group"
 
     class Meta:
@@ -1362,8 +1356,6 @@ class EndpointGroup(ConfidenceIntervalsMixin, models.Model):
         help_text="Expert judgement based report of treatment related effects (add direction if known). Use when statistical analysis not available. In results comments, indicate whether it was author judgment or assessment team judgement",
     )
 
-    COPY_NAME = "groups"
-
     class Meta:
         ordering = ("endpoint", "dose_group_id")
 

hawc/apps/assessment/models.py

@@ -300,7 +300,6 @@ def get_rob_name_default():
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "assessments"
     BREADCRUMB_PARENT = None
 
     def get_assessment(self):

hawc/apps/common/models.py

@@ -482,10 +482,6 @@ def apply_flavored_help_text(app_name: str):
             model._meta.get_field(field_name).help_text = help_text
 
 
-def get_model_copy_name(instance: models.Model) -> str:
-    return getattr(instance, "COPY_NAME", instance._meta.db_table)
-
-
 def include_related(
     queryset: QuerySet, ancestors: bool = True, descendants: bool = True
 ) -> QuerySet:

hawc/apps/epi/models.py

@@ -35,8 +35,6 @@ class Criteria(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "criterias"
-
     class Meta:
         ordering = ("description",)
         unique_together = ("assessment", "description")
@@ -71,8 +69,6 @@ class AdjustmentFactor(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "factors"
-
     class Meta:
         unique_together = ("assessment", "description")
         ordering = ("description",)
@@ -104,8 +100,6 @@ class StudyPopulationCriteria(models.Model):
     )
     criteria_type = models.CharField(max_length=1, choices=constants.CriteriaType.choices)
 
-    COPY_NAME = "spcriterias"
-
 
 class StudyPopulation(models.Model):
     objects = managers.StudyPopulationManager()
@@ -210,7 +204,6 @@ class StudyPopulation(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "study_populations"
     BREADCRUMB_PARENT = "study"
 
     @staticmethod
@@ -360,7 +353,6 @@ class Outcome(BaseEndpoint):
         help_text="Provide additional outcome or extraction details if necessary. Ex. No association (data not shown)",
     )
 
-    COPY_NAME = "outcomes"
     BREADCRUMB_PARENT = "study_population"
 
     class Meta:
@@ -465,8 +457,6 @@ class ComparisonSet(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "comparison_sets"
-
     @property
     def BREADCRUMB_PARENT(self) -> str:
         if self.study_population is not None:
@@ -583,7 +573,6 @@ class Group(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "groups"
     BREADCRUMB_PARENT = "comparison_set"
 
     class Meta:
@@ -762,7 +751,6 @@ class Exposure(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "exposures"
     BREADCRUMB_PARENT = "study_population"
 
     class Meta:
@@ -895,8 +883,6 @@ def lower_bound_interval(self):
     def upper_bound_interval(self):
         return self.upper_range if self.upper_ci is None else self.upper_ci
 
-    COPY_NAME = "central_tendencies"
-
     class Meta:
         ordering = ("estimate_type",)
         verbose_name = "Central Tendency"
@@ -973,8 +959,6 @@ class GroupNumericalDescriptions(models.Model):
         choices=constants.UpperLimit.choices, default=constants.UpperLimit.NONE
     )
 
-    COPY_NAME = "group_descriptions"
-
     class Meta:
         verbose_name_plural = "Group Numerical Descriptions"
 
@@ -1027,8 +1011,6 @@ class ResultAdjustmentFactor(models.Model):
     result = models.ForeignKey("Result", on_delete=models.CASCADE, related_name="resfactors")
     included_in_final_model = models.BooleanField(default=True)
 
-    COPY_NAME = "rfactors"
-
 
 class Result(models.Model):
     objects = managers.ResultManager()
@@ -1127,7 +1109,6 @@ class Result(models.Model):
 
     resulttags = models.ManyToManyField(EffectTag, blank=True, verbose_name="Tags")
 
-    COPY_NAME = "results"
     BREADCRUMB_PARENT = "outcome"
 
     class Meta:
@@ -1423,8 +1404,6 @@ class GroupResult(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "groupresults"
-
     class Meta:
         ordering = ("result", "group__group_id")
 

hawc/apps/epimeta/models.py

@@ -52,7 +52,6 @@ class MetaProtocol(models.Model):
     )
     notes = models.TextField(blank=True)
 
-    COPY_NAME = "meta_protocol"
     BREADCRUMB_PARENT = "study"
 
     class Meta:
@@ -154,7 +153,6 @@ class MetaResult(models.Model):
     )
     notes = models.TextField(blank=True)
 
-    COPY_NAME = "meta_result"
     BREADCRUMB_PARENT = "protocol"
 
     class Meta:
@@ -302,7 +300,6 @@ class SingleResult(models.Model):
     )
     notes = models.TextField(blank=True)
 
-    COPY_NAME = "meta_single_result"
     BREADCRUMB_PARENT = "meta_result"
 
     class Meta:

hawc/apps/invitro/models.py

@@ -54,7 +54,6 @@ class IVChemical(models.Model):
         "purity",
     )
 
-    COPY_NAME = "ivchemicals"
     BREADCRUMB_PARENT = "study"
 
     def __str__(self):
@@ -96,7 +95,6 @@ class IVCellType(models.Model):
     tissue = models.CharField(max_length=64)
     source = models.CharField(max_length=128, verbose_name="Source of cell cultures")
 
-    COPY_NAME = "ivcelltypes"
     BREADCRUMB_PARENT = "study"
 
     def __str__(self):
@@ -173,7 +171,6 @@ class IVExperiment(models.Model):
         "assessment.DoseUnits", on_delete=models.CASCADE, related_name="ivexperiments"
     )
 
-    COPY_NAME = "ivexperiments"
     BREADCRUMB_PARENT = "study"
 
     def __str__(self):
@@ -222,8 +219,6 @@ def get_choice_representation(self):
     def get_choices(cls, assessment_id):
         return [cat.get_choice_representation() for cat in cls.get_assessment_qs(assessment_id)]
 
-    COPY_NAME = "ivendpoint_category"
-
 
 class IVEndpoint(BaseEndpoint):
     objects = managers.IVEndpointManager()
@@ -306,7 +301,6 @@ class IVEndpoint(BaseEndpoint):
     result_notes = models.TextField(blank=True, help_text="Qualitative description of the results")
     additional_fields = models.TextField(default="{}")
 
-    COPY_NAME = "ivendpoints"
     BREADCRUMB_PARENT = "experiment"
 
     class Meta:
@@ -392,8 +386,6 @@ class IVEndpointGroup(ConfidenceIntervalsMixin, models.Model):
         blank=True,
     )
 
-    COPY_NAME = "ivendpoint_groups"
-
     @property
     def difference_control_symbol(self):
         return self.DIFFERENCE_CONTROL_SYMBOLS[self.difference_control]
@@ -409,8 +401,6 @@ class IVBenchmark(models.Model):
     benchmark = models.CharField(max_length=32)
     value = models.FloatField()
 
-    COPY_NAME = "benchmarks"
-
 
 reversion.register(IVChemical)
 reversion.register(IVCellType)

hawc/apps/riskofbias/models.py

@@ -39,7 +39,6 @@ class RiskOfBiasDomain(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "riskofbiasdomains"
     BREADCRUMB_PARENT = "assessment"
 
     class Meta:
@@ -106,7 +105,6 @@ class RiskOfBiasMetric(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "riskofbiasmetrics"
     BREADCRUMB_PARENT = "domain"
 
     class Meta:
@@ -201,7 +199,6 @@ class RiskOfBias(models.Model):
     created = models.DateTimeField(auto_now_add=True)
     last_updated = models.DateTimeField(auto_now=True)
 
-    COPY_NAME = "riskofbiases"
     BREADCRUMB_PARENT = "study"
 
     class Meta:
@@ -372,8 +369,6 @@ class RiskOfBiasScore(models.Model):
     )
     notes = models.TextField(blank=True)
 
-    COPY_NAME = "riskofbiasscores"
-
     class Meta:
         ordering = ("metric", "id")
 
@@ -513,7 +508,6 @@ class RiskOfBiasAssessment(models.Model):
         help_text="Detailed instructions for completing risk of bias assessments.",
     )
 
-    COPY_NAME = "riskofbiasassessments"
     BREADCRUMB_PARENT = "assessment"
 
     def get_absolute_url(self):

hawc/apps/study/models.py

@@ -114,7 +114,6 @@ class Study(Reference):
         help_text="Project-managers and team-members are allowed to edit this study.",
     )
 
-    COPY_NAME = "studies"
     BREADCRUMB_PARENT = "assessment"
 
     class Meta: