How to use get_public_schema_name method in Kiwi

Best Python code snippet using Kiwi_python

tasks.py

Source:tasks.py Github

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...10 from django.db import connection11 from django_tenants.utils import get_public_schema_name, get_tenant_model12 from apps.classif_ai.services import InferenceService13 # Setting the correct schema14 if connection.schema_name != get_public_schema_name():15 connection.set_schema_to_public()16 if schema != get_public_schema_name():17 tenant = get_tenant_model().objects.get(schema_name=schema)18 connection.set_tenant(tenant, include_public=True)19 try:20 logger.info(f"Schema_name: {schema}, File Set Id: {file_set_id}, Model Id: {ml_model_id}")21 InferenceService(ml_model_id, file_set_id).perform()22 except ValidationError as e:23 # ToDo: justify this pass.24 if "file" in e.message_dict.keys():25 pass26 elif "FileSetInferenceQueue" in e.message_dict.keys():27 self.retry(exc=e, countdown=2**self.request.retries, max_retries=20)28 else:29 raise e30 return31@shared_task(bind=True, ignore_result=True)32def perform_retraining(self, training_session_id, schema="public"):33 from django.db import connection34 from django.db.models import Q35 from django_tenants.utils import get_public_schema_name, get_tenant_model36 from apps.classif_ai.models import TrainingSession, TrainingSessionFileSet, FileRegion37 from apps.classif_ai.helpers import calculate_iou38 from sixsense import settings39 sys.path.append(settings.DS_MODEL_INVOCATION_PATH)40 from retrain import main41 # Setting the correct schema42 if connection.schema_name != get_public_schema_name():43 connection.set_schema_to_public()44 if schema != get_public_schema_name():45 tenant = get_tenant_model().objects.get(schema_name=schema)46 connection.set_tenant(tenant, include_public=True)47 training_session = TrainingSession.objects.get(id=training_session_id)48 if training_session.started_at:49 return50 ml_model = training_session.new_ml_model51 training_session.started_at = datetime.utcnow()52 training_session.save()53 try:54 main(training_session_id, schema)55 training_session.refresh_from_db()56 training_session.finished_at = datetime.utcnow()57 training_session.save()58 ml_model.refresh_from_db()59 except Exception as e:60 ml_model.refresh_from_db()61 if ml_model.status != "user_terminated":62 ml_model.status = "training_failed"63 ml_model.save()64 training_session.refresh_from_db()65 training_session.finished_at = datetime.utcnow()66 training_session.save()67 raise e68 # ToDo: Copy the existing feedback as well for all the file sets69 batch_size = 100070 qs = TrainingSessionFileSet.objects.filter(71 Q(dataset_train_type="TEST") | Q(dataset_train_type="test"), training_session_id=training_session_id72 )73 total = qs.count()74 ml_model.status = "ready_for_deployment"75 ml_model.save()76 for start in range(0, total, batch_size):77 end = min(start + batch_size, total)78 for tfs in qs[start:end]:79 for file, regions in tfs.defects.items():80 ai_regions = FileRegion.objects.filter(81 ml_model_id=training_session.new_ml_model_id, file_id=file, is_user_feedback=False82 )83 for region in regions:84 matching_region = None85 for ai_region in ai_regions:86 if ml_model.type == "CLASSIFICATION":87 if list(ai_region.defects)[0] == list(region["defects"])[0]:88 matching_region = [ai_region, None]89 else:90 iou = calculate_iou(91 [92 region["region"]["coordinates"]["x"],93 region["region"]["coordinates"]["y"],94 region["region"]["coordinates"]["x"] + region["region"]["coordinates"]["w"],95 region["region"]["coordinates"]["y"] + region["region"]["coordinates"]["h"],96 ],97 [98 ai_region.region["coordinates"]["x"],99 ai_region.region["coordinates"]["y"],100 ai_region.region["coordinates"]["x"] + ai_region.region["coordinates"]["w"],101 ai_region.region["coordinates"]["y"] + ai_region.region["coordinates"]["h"],102 ],103 )104 if iou > 0.4:105 if matching_region:106 if matching_region[1] < iou:107 matching_region = [ai_region, iou]108 else:109 matching_region = [ai_region, iou]110 file_region = FileRegion(111 file_id=file,112 ml_model_id=training_session.new_ml_model_id,113 defects=region["defects"],114 region=region["region"],115 is_user_feedback=True,116 )117 if matching_region and ml_model.type == "CLASSIFICATION":118 matching_region[0].classification_correctness = True119 matching_region[0].save()120 elif matching_region:121 file_region.ai_region_id = matching_region[0].id122 file_region.save()123 else:124 file_region.save()125 for ai_region in ai_regions.all():126 if ml_model.type == "CLASSIFICATION" and ai_region.classification_correctness == None:127 ai_region.classification_correctness = False128 ai_region.save()129 elif ml_model.type != "CLASSIFICATION" and ai_region.detection_correctness == None:130 ai_region.is_removed = True131 ai_region.classification_correctness = False132 ai_region.detection_correctness = False133 ai_region.save()134@shared_task(bind=True, ignore_result=True)135def stitch_image_worker(self, upload_session_id, schema="public"):136 from django.db import connection137 from django_tenants.utils import get_public_schema_name, get_tenant_model138 from apps.classif_ai.services import StitchImageService139 # Setting the correct schema140 if connection.schema_name != get_public_schema_name():141 connection.set_schema_to_public()142 if schema != get_public_schema_name():143 tenant = get_tenant_model().objects.get(schema_name=schema)144 connection.set_tenant(tenant, include_public=True)145 service = StitchImageService()146 service.stitch(upload_session_id)147def set_schema(schema):148 from django.db import connection149 from django_tenants.utils import get_public_schema_name, get_tenant_model150 if connection.schema_name != get_public_schema_name():151 connection.set_schema_to_public()152 if schema != get_public_schema_name():153 tenant = get_tenant_model().objects.get(schema_name=schema)154 connection.set_tenant(tenant, include_public=True)155# HOW to enforce first parameter needs to be description and second one needs to be input156@shared_task(bind=True)157def copy_images_to_folder(self, input_data, schema="public"):158 set_schema(schema)159 from apps.classif_ai.models import FileSet160 FileSet.objects.copy(input_data)161@before_task_publish.connect162def task_sent_handler(sender=None, headers=None, body=None, **kwargs):163 info = headers if "task" in headers else body164 if not info["ignore_result"]:165 from django.db import transaction166 from django_celery_results.models import TaskResult167 from django_tenants.utils import get_public_schema_name168 import ast169 schema = ast.literal_eval(info.get("kwargsrepr")).get("schema") or get_public_schema_name()170 set_schema(schema)171 with transaction.atomic():172 TaskResult.objects.get_or_create(173 content_type="application/json",174 content_encoding="utf-8",175 task_id=info["id"],176 status=states.PENDING,177 result=None,178 task_name=info["task"],179 task_args=info["argsrepr"],180 task_kwargs=info["kwargsrepr"],...

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admin.py

Source:admin.py Github

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...5class SharedAdmin(admin.ModelAdmin):6 @staticmethod7 def has_tenant(request):8 # print('current schema name: ', request.tenant.schema_name)9 # print('public schema name: ', get_public_schema_name())10 # public schema don't have any tenant11 if hasattr(request, "tenant"):12 return True13 else:14 return False15 def has_view_permission(self, request, view=None):16 return True17 # if self.has_tenant(request):18 # # print('current schema name: ', request.tenant.schema_name)19 # # print('public schema name: ', get_public_schema_name())20 # if request.tenant.schema_name != get_public_schema_name():21 # return False22 def has_add_permission(self, request, view=None):23 if self.has_tenant(request):24 if request.tenant.schema_name != get_public_schema_name():25 return False26 return True27 def has_change_permission(self, request, view=None):28 if self.has_tenant(request):29 if request.tenant.schema_name != get_public_schema_name():30 return False31 return True32 def has_delete_permission(self, request, view=None):33 if self.has_tenant(request):34 if request.tenant.schema_name != get_public_schema_name():35 return False36 return True37 # def has_view_or_change_permission(self, request, view=None):38 # if self.has_tenant(request):39 # if request.tenant.schema_name != get_public_schema_name():40 # return False41 # return True42depot_app_config = apps.get_app_config('shared_app')43for model in depot_app_config.get_models():44 admin.site.register(model, SharedAdmin)...

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