class Query(graphene.ObjectType):
all_jobs = helpers.OptimizedFilterConnectionField(JobGraph)
all_job_details = DjangoFilterConnectionField(JobDetailGraph)
all_build_platforms = graphene.List(BuildPlatformGraph)
all_machine_platforms = graphene.List(MachinePlatformGraph)
all_machines = graphene.List(MachineGraph)
all_option_collections = graphene.List(OptionCollectionGraph)
all_job_types = graphene.List(JobTypeGraph)
all_products = graphene.List(ProductGraph)
all_failure_classifications = graphene.List(FailureClassificationGraph)
all_pushes = DjangoFilterConnectionField(PushGraph)
all_text_log_steps = graphene.List(TextLogStepGraph)
def resolve_all_jobs(self, info, **kwargs):
return Job.objects.filter(**kwargs)
def resolve_all_job_details(self, info, **kwargs):
return JobDetail.objects.filter(**kwargs)
def resolve_all_build_platforms(self, info, **kwargs):
return BuildPlatform.objects.all()
def resolve_all_machine_platforms(self, info, **kwargs):
return MachinePlatform.objects.all()
def resolve_all_machines(self, info, **kwargs):
return Machine.objects.all()
def resolve_all_option_collections(self, info, **kwargs):
field_map = {
"option": ("option", "select"),
}
return helpers.optimize(OptionCollection.objects.all(),
ast_to_dict(info.field_asts),
field_map)
def resolve_all_job_types(self, info, **kwargs):
return JobType.objects.all()
def resolve_all_products(self, info, **kwargs):
return Product.objects.all()
def resolve_all_failure_classifications(self, info, **kwargs):
return FailureClassification.objects.all()
def resolve_all_pushes(self, info, **kwargs):
return Push.objects.filter(**kwargs)
def resolve_all_text_log_steps(self, info, **kwargs):
return TextLogStep.objects.filter(**kwargs)
class PushGraph(DjangoObjectType):
class Meta:
model = Push
filter_fields = ('revision', )
interfaces = (graphene.relay.Node, )
jobs = helpers.OptimizedFilterConnectionField(JobGraph)
def resolve_jobs(self, args, context, info):
field_map = {
"buildPlatform": ("build_platform", "select"),
"jobLog": ("job_log", "prefetch"),
"jobType": ("job_type", "select"),
"jobGroup": ("job_group", "select"),
"failureClassification": ("failure_classification", "prefetch"),
"failureLine": ("job_log__failure_line", "prefetch"),
"group": ("job_log__failure_line__group", "prefetch"),
"textLogStep": ("text_log_step", "prefetch"),
"errors": ("text_log_step__errors", "prefetch"),
}
return helpers.optimize(Job.objects.filter(push=self, **args),
ast_to_dict(info.field_asts), field_map)