diff --git a/.pre-commit-dev.yaml b/.pre-commit-dev.yaml index 2729515f4e79..9bb7dbbb6b79 100644 --- a/.pre-commit-dev.yaml +++ b/.pre-commit-dev.yaml @@ -9,3 +9,4 @@ repos: rev: v0.9.1 hooks: - id: blue + args: [ --verbose ] diff --git a/label_studio/core/all_urls.json b/label_studio/core/all_urls.json index 188d955dbd12..1e8d3e9efe4c 100644 --- a/label_studio/core/all_urls.json +++ b/label_studio/core/all_urls.json @@ -946,6 +946,12 @@ "module": "ml.api.MLBackendTrainAPI", "name": "ml:api:ml-train", "decorators": "" + }, + { + "url": "/api/ml//predict/test", + "module": "ml.api.MLBackendPredictAPI", + "name": "ml:api:ml-predict-test", + "decorators": "" }, { "url": "/api/ml//interactive-annotating", diff --git a/label_studio/data_manager/actions/basic.py b/label_studio/data_manager/actions/basic.py index 681326167cac..25bf1447ad3f 100644 --- a/label_studio/data_manager/actions/basic.py +++ b/label_studio/data_manager/actions/basic.py @@ -6,7 +6,7 @@ from core.permissions import AllPermissions from core.redis import start_job_async_or_sync from core.utils.common import load_func -from data_manager.functions import evaluate_predictions +from data_manager.functions import retrieve_predictions from django.conf import settings from projects.models import Project from tasks.functions import update_tasks_counters @@ -24,7 +24,7 @@ def retrieve_tasks_predictions(project, queryset, **kwargs): :param project: project instance :param queryset: filtered tasks db queryset """ - evaluate_predictions(queryset) + retrieve_predictions(queryset) return {'processed_items': queryset.count(), 'detail': 'Retrieved ' + str(queryset.count()) + ' predictions'} @@ -138,6 +138,7 @@ def async_project_summary_recalculation(tasks_ids_list, project_id): 'title': 'Retrieve Predictions', 'order': 90, 'dialog': { + 'modal_title': 'Retrieve Predictions', 'text': 'Send the selected tasks to all ML backends connected to the project.' 'This operation might be abruptly interrupted due to a timeout. ' 'The recommended way to get predictions is to update tasks using the Label Studio API.' diff --git a/label_studio/data_manager/actions/next_task.py b/label_studio/data_manager/actions/next_task.py index e730a156b58f..0a5d9d8717fd 100644 --- a/label_studio/data_manager/actions/next_task.py +++ b/label_studio/data_manager/actions/next_task.py @@ -32,6 +32,7 @@ def next_task(project, queryset, **kwargs): # serialize task context = {'request': request, 'project': project, 'resolve_uri': True, 'annotations': False} serializer = NextTaskSerializer(next_task, context=context) + response = serializer.data response['queue'] = queue_info return response diff --git a/label_studio/data_manager/actions/predictions_to_annotations.py b/label_studio/data_manager/actions/predictions_to_annotations.py index 10aa8bbd98ad..6d3970499f00 100644 --- a/label_studio/data_manager/actions/predictions_to_annotations.py +++ b/label_studio/data_manager/actions/predictions_to_annotations.py @@ -80,7 +80,7 @@ def predictions_to_annotations_form(user, project): { 'type': 'select', 'name': 'model_version', - 'label': 'Choose a model', + 'label': 'Choose predictions', 'options': versions, } ], @@ -95,8 +95,10 @@ def predictions_to_annotations_form(user, project): 'title': 'Create Annotations From Predictions', 'order': 91, 'dialog': { - 'text': 'This action will create new annotations from predictions with the selected model version ' - 'for each selected task.', + 'modal_title': 'Create Annotations From Predictions', + 'text': 'Create annotations from predictions using selected predictions set ' + 'for each selected task.' + 'Your account will be assigned as an owner to those annotations. ', 'type': 'confirm', 'form': predictions_to_annotations_form, }, diff --git a/label_studio/data_manager/api.py b/label_studio/data_manager/api.py index 318a5722aa3f..c3b57993aef2 100644 --- a/label_studio/data_manager/api.py +++ b/label_studio/data_manager/api.py @@ -8,7 +8,7 @@ from core.utils.common import int_from_request, load_func from core.utils.params import bool_from_request from data_manager.actions import get_all_actions, perform_action -from data_manager.functions import evaluate_predictions, get_prepare_params, get_prepared_queryset +from data_manager.functions import get_prepare_params, get_prepared_queryset from data_manager.managers import get_fields_for_evaluation from data_manager.models import View from data_manager.serializers import DataManagerTaskSerializer, ViewResetSerializer, ViewSerializer @@ -255,11 +255,15 @@ def get(self, request): # keep ids ordering page = [tasks_by_ids[_id] for _id in ids] + # TODO MM TODO this needs a discussion, because I'd expect + # people to retrieve manually instead on DM load, plus it + # will slow down initial DM load + # retrieve ML predictions if tasks don't have them - if not review and project.evaluate_predictions_automatically: - tasks_for_predictions = Task.objects.filter(id__in=ids, predictions__isnull=True) - evaluate_predictions(tasks_for_predictions) - [tasks_by_ids[_id].refresh_from_db() for _id in ids] + # if not review and project.retrieve_predictions_automatically: + # tasks_for_predictions = Task.objects.filter(id__in=ids, predictions__isnull=True) + # retrieve_predictions(tasks_for_predictions) + # [tasks_by_ids[_id].refresh_from_db() for _id in ids] if flag_set('fflag_fix_back_leap_24_tasks_api_optimization_05092023_short'): serializer = self.task_serializer_class( @@ -271,13 +275,18 @@ def get(self, request): else: serializer = self.task_serializer_class(page, many=True, context=context) return self.get_paginated_response(serializer.data) + + # TODO # all tasks - if project.evaluate_predictions_automatically: - evaluate_predictions(queryset.filter(predictions__isnull=True)) + # if project.retrieve_predictions_automatically: + # retrieve_predictions(queryset.filter(predictions__isnull=True)) + queryset = Task.prepared.annotate_queryset( queryset, fields_for_evaluation=fields_for_evaluation, all_fields=all_fields, request=request ) + serializer = self.task_serializer_class(queryset, many=True, context=context) + return Response(serializer.data) @@ -377,6 +386,7 @@ def post(self, request): # perform action and return the result dict kwargs = {'request': request} # pass advanced params to actions result = perform_action(action_id, project, queryset, request.user, **kwargs) + code = result.pop('response_code', 200) return Response(result, status=code) diff --git a/label_studio/data_manager/functions.py b/label_studio/data_manager/functions.py index bf04ffa2a5de..54e0b9871460 100644 --- a/label_studio/data_manager/functions.py +++ b/label_studio/data_manager/functions.py @@ -314,16 +314,23 @@ def get_prepared_queryset(request, project): return queryset -def evaluate_predictions(tasks): - """Call ML backend for prediction evaluation of the task queryset""" +def retrieve_predictions(tasks, backend=None): + """Call ML backend to retrieve predictions with the task queryset as an input""" if not tasks: return - project = tasks[0].project + if not backend: + project = tasks[0].project + backend = project.ml_backends.first() - for ml_backend in project.ml_backends.all(): - # tasks = tasks.filter(~Q(predictions__model_version=ml_backend.model_version)) - ml_backend.predict_tasks(tasks) + # IMPORTANT change here, ml_backends.all => ml_backends.first + # we are using only one ML backend, not multiple + if backend: + return backend.predict_and_save(tasks=tasks) + + # for ml_backend in project.ml_backends.first(): + # # tasks = tasks.filter(~Q(predictions__model_version=ml_backend.model_version)) + # ml_backend.predict_and_save(tasks=tasks) def filters_ordering_selected_items_exist(data): diff --git a/label_studio/ml/api.py b/label_studio/ml/api.py index 0792f80f1d2a..e2c4ca1af24b 100644 --- a/label_studio/ml/api.py +++ b/label_studio/ml/api.py @@ -6,6 +6,7 @@ from core.feature_flags import flag_set from core.permissions import ViewClassPermission, all_permissions from django.conf import settings +from django.http import Http404 from django.utils.decorators import method_decorator from django_filters.rest_framework import DjangoFilterBackend from drf_yasg.utils import swagger_auto_schema @@ -76,10 +77,11 @@ class MLBackendListAPI(generics.ListCreateAPIView): def get_queryset(self): project_pk = self.request.query_params.get('project') project = generics.get_object_or_404(Project, pk=project_pk) + self.check_object_permissions(self.request, project) - ml_backends = MLBackend.objects.filter(project_id=project.id) - for mlb in ml_backends: - mlb.update_state() + + ml_backends = project.update_ml_backends_state() + return ml_backends def perform_create(self, serializer): @@ -202,6 +204,58 @@ def post(self, request, *args, **kwargs): return Response(status=status.HTTP_200_OK) +@method_decorator( + name='post', + decorator=swagger_auto_schema( + tags=['Machine Learning'], + operation_summary='Predict', + operation_description=""" + After you add an ML backend, call this API with the ML backend ID to run a test prediction on specific task data + """, + manual_parameters=[ + openapi.Parameter( + name='id', + type=openapi.TYPE_INTEGER, + in_=openapi.IN_PATH, + description='A unique integer value identifying this ML backend.', + ), + ], + responses={ + 200: openapi.Response(title='Predicting OK', description='Predicting has successfully started.'), + 500: openapi.Response( + description='Predicting error', + schema=openapi.Schema( + title='Error message', + description='Error message', + type=openapi.TYPE_STRING, + example='Server responded with an error.', + ), + ), + }, + ), +) +class MLBackendPredictTestAPI(APIView): + serializer_class = MLBackendSerializer + permission_required = all_permissions.projects_change + + def post(self, request, *args, **kwargs): + ml_backend = generics.get_object_or_404(MLBackend, pk=self.kwargs['pk']) + self.check_object_permissions(self.request, ml_backend) + + random = request.query_params.get('random', False) + if random: + task = Task.get_random(project=ml_backend.project) + if not task: + raise Http404 + + kwargs = ml_backend._predict(task) + return Response(**kwargs) + + # TODO this needs to be implemented and needs to have a specific task param + ml_backend.predict() + return Response(status=status.HTTP_200_OK) + + @method_decorator( name='post', decorator=swagger_auto_schema( @@ -227,29 +281,64 @@ def post(self, request, *args, **kwargs): ), ) class MLBackendInteractiveAnnotating(APIView): + """ """ permission_required = all_permissions.tasks_view + def _error_response(self, message, log_function=logger.info): + """ """ + log_function(message) + return Response({'errors': [message]}, status=status.HTTP_200_OK) + + def _get_task(self, ml_backend, validated_data): + """ """ + return generics.get_object_or_404(Task, pk=validated_data['task'], project=ml_backend.project) + + def _get_credentials(self, request, context, project): + """ """ + if flag_set('ff_back_dev_2362_project_credentials_060722_short', request.user): + context.update( + project_credentials_login=project.task_data_login, + project_credentials_password=project.task_data_password, + ) + return context + + def _get_ml_results(self, ml_api_result): + """ """ + results = ml_api_result.response.get('results', [None]) + if isinstance(results, list) and len(results) >= 1: + return results[0] + + return None + def post(self, request, *args, **kwargs): + """ """ ml_backend = generics.get_object_or_404(MLBackend, pk=self.kwargs['pk']) - self.check_object_permissions(self.request, ml_backend) + self.check_object_permissions(request, ml_backend) + serializer = MLInteractiveAnnotatingRequest(data=request.data) serializer.is_valid(raise_exception=True) - validated_data = serializer.validated_data - task = generics.get_object_or_404(Task, pk=validated_data['task'], project=ml_backend.project) - context = validated_data.get('context') + task = self._get_task(ml_backend, serializer.validated_data) + context = self._get_credentials(request, serializer.validated_data.get('context', {}), task.project) - if flag_set('ff_back_dev_2362_project_credentials_060722_short', request.user): - context['project_credentials_login'] = task.project.task_data_login - context['project_credentials_password'] = task.project.task_data_password + ml_api_result = ml_backend.interactive_annotating(task, context, user=self.request.user) + + if ml_api_result.is_error: + message = f'Prediction not created for project {self}: {ml_api_result.error_message}' + return self._error_response(message) + + if not isinstance(ml_api_result.response, dict) or 'results' not in ml_api_result.response: + message = f'Incorrect response from ML service it must be a dict and contain "results" key: {ml_api_result.response}' + return self._error_response(message) + + ml_results = self._get_ml_results(ml_api_result) - result = ml_backend.interactive_annotating(task, context, user=request.user) + if not ml_results: + message = f'ML backend has to return a list with at least 1 annotation but it returned: {type(ml_results)}' + return self._error_response(message, logger.warning) - return Response( - result, - status=status.HTTP_200_OK, - ) + return Response({'data': ml_results}, status=status.HTTP_200_OK) @method_decorator( diff --git a/label_studio/ml/api_connector.py b/label_studio/ml/api_connector.py index 578d466bbdd5..0545731d37a4 100644 --- a/label_studio/ml/api_connector.py +++ b/label_studio/ml/api_connector.py @@ -4,7 +4,6 @@ import os import urllib -import attr import requests from core.feature_flags import flag_set from core.utils.common import load_func @@ -14,6 +13,7 @@ from django.contrib.auth.models import AnonymousUser from django.db.models import Count from requests.adapters import HTTPAdapter +from requests.auth import HTTPBasicAuth from label_studio.core.utils.params import get_env @@ -31,6 +31,17 @@ TIMEOUT_DELETE = float(get_env('ML_TIMEOUT_DELETE', 1)) TIMEOUT_TRAIN_JOB_STATUS = float(get_env('ML_TIMEOUT_TRAIN_JOB_STATUS', 1)) +# TODO +# we would need to make it configurable on the ML backend side too +PREDICT_URL = 'predict' +HEALTH_URL = 'health' +VALIDATE_URL = 'validate' +SETUP_URL = 'setup' +DUPLICATE_URL = 'duplicate_model' +DELETE_URL = 'delete' +JOB_STATUS_URL = 'job_status' +VERSIONS_URL = 'versions' + class BaseHTTPAPI(object): MAX_RETRIES = 2 @@ -38,11 +49,19 @@ class BaseHTTPAPI(object): 'User-Agent': 'heartex/' + (version or ''), } - def __init__(self, url, timeout=None, connection_timeout=None, max_retries=None, headers=None, **kwargs): + def __init__( + self, url, timeout=None, connection_timeout=None, max_retries=None, headers=None, auth_method=None, **kwargs + ): self._url = url self._timeout = timeout or TIMEOUT_DEFAULT self._connection_timeout = connection_timeout or CONNECTION_TIMEOUT self._headers = headers or {} + self._auth_method = auth_method + + if auth_method == 'BA': + # TODO add kwarg check in here + self._basic_auth = (kwargs.get('basic_auth_user'), kwargs.get('basic_auth_pass')) + self._max_retries = max_retries or self.MAX_RETRIES self._sessions = {self._session_key(): self.create_session()} @@ -72,6 +91,9 @@ def _prepare_kwargs(self, kwargs): if 'timeout' not in kwargs: kwargs['timeout'] = self._connection_timeout, self._timeout + if self._auth_method == 'BA': + kwargs['auth'] = HTTPBasicAuth(*self._basic_auth) + # add connection timeout if it's not presented elif isinstance(kwargs['timeout'], float) or isinstance(kwargs['timeout'], int): kwargs['timeout'] = (self._connection_timeout, kwargs['timeout']) @@ -87,14 +109,16 @@ def post(self, *args, **kwargs): return self.request('POST', *args, **kwargs) -@attr.s -class MLApiResult(object): - url = attr.ib(default='') - request = attr.ib(default='') - response = attr.ib(default=attr.Factory(dict)) - headers = attr.ib(default=attr.Factory(dict)) - type = attr.ib(default='ok') - status_code = attr.ib(default=200) +class MLApiResult: + """ """ + + def __init__(self, url='', request='', response=None, headers=None, type='ok', status_code=200): + self.url = url + self.request = request + self.response = {} if response is None else response + self.headers = {} if headers is None else headers + self.type = type + self.status_code = status_code @property def is_error(self): @@ -105,19 +129,9 @@ def error_message(self): return self.response.get('error') -@attr.s -class MLApiScheme(object): - tag_name = attr.ib() - tag_type = attr.ib() - source_name = attr.ib() - source_type = attr.ib() - source_value = attr.ib() - - def to_dict(self): - return attr.asdict(self) - - class MLApi(BaseHTTPAPI): + """ """ + def __init__(self, **kwargs): super(MLApi, self).__init__(**kwargs) self._validate_request_timeout = 10 @@ -128,44 +142,54 @@ def _get_url(self, url_suffix): url += '/' return urllib.parse.urljoin(url, url_suffix) + def _handle_error(self, e, response, url, headers, request): + """ """ + error_string = f"{e} {response.text if response else ''}" + status_code = response.status_code if response is not None else 0 + + return MLApiResult( + url=url, + request=request, + response={'error': error_string}, + headers=headers, + type='error', + status_code=status_code, + ) + def _request(self, url_suffix, request=None, verbose=True, method='POST', *args, **kwargs): + """ """ assert method in ('POST', 'GET') url = self._get_url(url_suffix) request = request or {} headers = dict(self.http.headers) - # if verbose: - # logger.info(f'Request to {url}: {json.dumps(request, indent=2)}') + response = None try: if method == 'POST': response = self.post(url=url, json=request, *args, **kwargs) else: response = self.get(url=url, *args, **kwargs) - response.raise_for_status() + + # response = requests.request(method=method, url=url, json=request, *args, **kwargs) + # response.raise_for_status() except requests.exceptions.RequestException as e: - # Extending error details in case of failed request - if flag_set('fix_back_dev_3351_ml_validation_error_extension_short', AnonymousUser): - error_string = str(e) + (' ' + str(response.text) if response else '') - else: - error_string = str(e) - status_code = response.status_code if response is not None else 0 - return MLApiResult(url, request, {'error': error_string}, headers, 'error', status_code=status_code) + return self._handle_error(e, response, url, headers, request) + status_code = response.status_code try: response = response.json() + except ValueError as e: - # logger.warning(f'Error parsing JSON response from {url}. Response: {response.content}', exc_info=True) return MLApiResult( - url, - request, - {'error': str(e), 'response': response.content}, - headers, - 'error', + url=url, + request=request, + response={'error': str(e), 'response': response.content}, + headers=headers, + type='error', status_code=status_code, ) - # if verbose: - # logger.info(f'Response from {url}: {json.dumps(response, indent=2)}') - return MLApiResult(url, request, response, headers, status_code=status_code) + + return MLApiResult(url=url, request=request, response=response, headers=headers, status_code=status_code) def _create_project_uid(self, project): time_id = int(project.created_at.timestamp()) @@ -195,10 +219,9 @@ def train(self, project, use_ground_truth=False): } return self._request('train', request, verbose=False, timeout=TIMEOUT_PREDICT) - def make_predictions(self, tasks, model_version, project, context=None): + def _prep_prediction_req(self, tasks, project, context=None): request = { 'tasks': tasks, - 'model_version': model_version, 'project': self._create_project_uid(project), 'label_config': project.label_config, 'params': { @@ -207,30 +230,35 @@ def make_predictions(self, tasks, model_version, project, context=None): 'context': context, }, } - return self._request('predict', request, verbose=False, timeout=TIMEOUT_PREDICT) + + return request + + def make_predictions(self, tasks, project, context=None): + request = self._prep_prediction_req(tasks, project, context=context) + return self._request(PREDICT_URL, request, verbose=False, timeout=TIMEOUT_PREDICT) def health(self): - return self._request('health', method='GET', timeout=TIMEOUT_HEALTH) + return self._request(HEALTH_URL, method='GET', timeout=TIMEOUT_HEALTH) def validate(self, config): - return self._request('validate', request={'config': config}, timeout=self._validate_request_timeout) + return self._request(VALIDATE_URL, request={'config': config}, timeout=self._validate_request_timeout) - def setup(self, project, model_version=None): + def setup(self, project, extra_params=None, **kwargs): return self._request( - 'setup', + SETUP_URL, request={ 'project': self._create_project_uid(project), 'schema': project.label_config, 'hostname': settings.HOSTNAME if settings.HOSTNAME else ('http://localhost:' + settings.INTERNAL_PORT), 'access_token': project.created_by.auth_token.key, - 'model_version': model_version, + 'extra_params': extra_params, }, timeout=TIMEOUT_SETUP, ) def duplicate_model(self, project_src, project_dst): return self._request( - 'duplicate_model', + DUPLICATE_URL, request={ 'project_src': self._create_project_uid(project_src), 'project_dst': self._create_project_uid(project_dst), @@ -239,14 +267,16 @@ def duplicate_model(self, project_src, project_dst): ) def delete(self, project): - return self._request('delete', request={'project': self._create_project_uid(project)}, timeout=TIMEOUT_DELETE) + return self._request( + DELETE_URL, request={'project': self._create_project_uid(project)}, timeout=TIMEOUT_DELETE + ) def get_train_job_status(self, train_job): - return self._request('job_status', request={'job': train_job.job_id}, timeout=TIMEOUT_TRAIN_JOB_STATUS) + return self._request(JOB_STATUS_URL, request={'job': train_job.job_id}, timeout=TIMEOUT_TRAIN_JOB_STATUS) def get_versions(self, project): return self._request( - 'versions', request={'project': self._create_project_uid(project)}, timeout=TIMEOUT_SETUP, method='GET' + VERSIONS_URL, request={'project': self._create_project_uid(project)}, timeout=TIMEOUT_SETUP, method='GET' ) diff --git a/label_studio/ml/migrations/0007_auto_20240128_0051.py b/label_studio/ml/migrations/0007_auto_20240128_0051.py new file mode 100644 index 000000000000..cdd9e8a7d882 --- /dev/null +++ b/label_studio/ml/migrations/0007_auto_20240128_0051.py @@ -0,0 +1,33 @@ +# Generated by Django 3.2.23 on 2024-01-28 00:51 + +from django.db import migrations, models + + +class Migration(migrations.Migration): + + dependencies = [ + ('ml', '0006_mlbackend_auto_update'), + ] + + operations = [ + migrations.AddField( + model_name='mlbackend', + name='auth_method', + field=models.CharField(choices=[('NA', 'None'), ('BA', 'Basic Auth')], default='NA', max_length=2), + ), + migrations.AddField( + model_name='mlbackend', + name='basic_auth_pass', + field=models.TextField(blank=True, default='', help_text='HTTP Basic Auth password', null=True, verbose_name='basic auth password'), + ), + migrations.AddField( + model_name='mlbackend', + name='basic_auth_user', + field=models.TextField(blank=True, default='', help_text='HTTP Basic Auth user', null=True, verbose_name='basic auth user'), + ), + migrations.AddField( + model_name='mlbackend', + name='extra_params', + field=models.JSONField(help_text='Any extra parameters passed to the ML Backend during the setup', null=True, verbose_name='extra params'), + ), + ] diff --git a/label_studio/ml/models.py b/label_studio/ml/models.py index 67bbe65b7422..9ba5c5152505 100644 --- a/label_studio/ml/models.py +++ b/label_studio/ml/models.py @@ -4,14 +4,14 @@ from core.utils.common import conditional_atomic, db_is_not_sqlite, load_func, safe_float from django.conf import settings -from django.db import models -from django.db.models import Count, Q -from django.db.models.signals import post_save +from django.db import models, transaction +from django.db.models import Count, JSONField, Q +from django.db.models.signals import post_save, pre_delete from django.dispatch import receiver from django.utils.translation import gettext_lazy as _ -from ml.api_connector import MLApi +from ml.api_connector import PREDICT_URL, TIMEOUT_PREDICT, MLApi from projects.models import Project -from tasks.models import Prediction +from tasks.models import Task from tasks.serializers import PredictionSerializer, TaskSimpleSerializer from webhooks.serializers import Webhook, WebhookSerializer @@ -30,6 +30,11 @@ class MLBackendState(models.TextChoices): PREDICTING = 'PR', _('Predicting') +class MLBackendAuth(models.TextChoices): + NONE = 'NA', _('None') + BASIC_AUTH = 'BA', _('Basic Auth') + + class MLBackend(models.Model): """ """ @@ -60,6 +65,29 @@ class MLBackend(models.Model): default='default', help_text='Name of the machine learning backend', ) + + auth_method = models.CharField( + max_length=2, + choices=MLBackendAuth.choices, + default=MLBackendAuth.NONE, + ) + + basic_auth_user = models.TextField( + _('basic auth user'), + blank=True, + null=True, + default='', + help_text='HTTP Basic Auth user', + ) + + basic_auth_pass = models.TextField( + _('basic auth password'), + blank=True, + null=True, + default='', + help_text='HTTP Basic Auth password', + ) + description = models.TextField( _('description'), blank=True, @@ -67,6 +95,13 @@ class MLBackend(models.Model): default='', help_text='Description for the machine learning backend', ) + + extra_params = JSONField( + _('extra params'), + null=True, + help_text='Any extra parameters passed to the ML Backend during the setup', + ) + model_version = models.TextField( _('model version'), blank=True, @@ -74,6 +109,7 @@ class MLBackend(models.Model): default='', help_text='Current model version associated with this machine learning backend', ) + timeout = models.FloatField( _('timeout'), blank=True, @@ -87,45 +123,110 @@ class MLBackend(models.Model): ) created_at = models.DateTimeField(_('created at'), auto_now_add=True) updated_at = models.DateTimeField(_('updated at'), auto_now=True) + + # deprecated auto_update = models.BooleanField( _('auto_update'), default=True, help_text='If false, model version is set by the user, if true - getting latest version from backend.', ) - def __str__(self): - return f'{self.title} (id={self.id}, url={self.url})' + @staticmethod + def healthcheck_(url, auth_method=None, **kwargs): + return MLApi(url=url, auth_method=auth_method, **kwargs).health() @staticmethod - def healthcheck_(url): - return MLApi(url=url).health() + def setup_(url, project, auth_method=None, **kwargs): + api = MLApi(url=url, auth_method=auth_method, **kwargs) - def has_permission(self, user): - user.project = self.project # link for activity log - return self.project.has_permission(user) + if not isinstance(project, Project): + project = Project.objects.get(pk=project) + + return api.setup(project, **kwargs) @staticmethod - def setup_(url, project, model_version=None): - api = MLApi(url=url) + def get_versions_(url, project, auth_method, **kwargs): + """ """ + api = MLApi(url=url, auth_method=auth_method, **kwargs) + if not isinstance(project, Project): project = Project.objects.get(pk=project) - return api.setup(project, model_version=model_version) + + return api.get_versions(project) + + def __str__(self): + return f'{self.title} (id={self.id}, url={self.url})' + + def __init__(self, *args, **kwargs): + super(MLBackend, self).__init__(*args, **kwargs) + self.__original_title = self.title + + def save(self, *args, **kwargs): + """ + Overrides the save() method to update the associated project's model_version field. + + If the title of the model instance is changed and the model_version + of the related project is currently the same as the original title, + the project's model_version is updated to the new title. + """ + p = self.project + + if self.title != self.__original_title and p.model_version == self.__original_title: + with transaction.atomic(): + p.model_version = self.title + p.save() + super().save(*args, **kwargs) + # reset original field to current field after save + self.__original_title = self.title + else: + super().save(*args, **kwargs) + + def has_permission(self, user): + user.project = self.project # link for activity log + return self.project.has_permission(user) def healthcheck(self): - return self.healthcheck_(self.url) + return self.healthcheck_( + self.url, self.auth_method, basic_auth_user=self.basic_auth_user, basic_auth_pass=self.basic_auth_pass + ) def setup(self): - return self.setup_(self.url, self.project, None if self.auto_update else self.model_version) + return self.setup_( + self.url, + self.project, + self.auth_method, + extra_params=self.extra_params, + basic_auth_user=self.basic_auth_user, + basic_auth_pass=self.basic_auth_pass, + ) @property def api(self): - return MLApi(url=self.url, timeout=self.timeout) + return MLApi( + url=self.url, + timeout=self.timeout, + auth_method=self.auth_method, + basic_auth_user=self.basic_auth_user, + basic_auth_pass=self.basic_auth_pass, + ) @property def not_ready(self): return self.state in (MLBackendState.DISCONNECTED, MLBackendState.ERROR) + def get_versions(self): + return self.get_versions_( + self.url, + self.project, + self.auth_method, + basic_auth_user=self.basic_auth_user, + basic_auth_pass=self.basic_auth_pass, + ) + def update_state(self): + """ """ + model_version = None + if self.healthcheck().is_error: self.state = MLBackendState.DISCONNECTED else: @@ -136,13 +237,15 @@ def update_state(self): self.error_message = setup_response.error_message else: self.state = MLBackendState.CONNECTED - model_version = setup_response.response.get('model_version') + model_version = setup_response.response.get('model_version', 'undefined') logger.info(f'ML backend responds with success: {setup_response.response}') - if self.auto_update: - logger.debug(f'Changing model version: {self.model_version} -> {model_version}') - self.model_version = model_version + # if self.auto_update: + # logger.debug(f'Changing model version: {self.model_version} -> {model_version}') + # self.model_version = model_version self.error_message = None + self.save() + return model_version def train(self): train_response = self.api.train(self.project) @@ -156,52 +259,145 @@ def train(self): MLBackendTrainJob.objects.create(job_id=current_train_job, ml_backend=self) self.save() - def predict_tasks(self, tasks): - self.update_state() - if self.not_ready: - logger.debug(f'ML backend {self} is not ready') - return + def _predict(self, task): + """This is low level prediction method that is used for debugging""" + ml_api = self.api + task_ser = TaskSimpleSerializer(task).data - if isinstance(tasks, list): - from tasks.models import Task + request_params = ml_api._prep_prediction_req([task_ser], self.project) + ml_api_result = ml_api._request(PREDICT_URL, request_params, verbose=False, timeout=TIMEOUT_PREDICT) - tasks = Task.objects.filter(id__in=[task.id for task in tasks]) + # url=self.url, timeout=self.timeout, auth_method=self.auth_method, + # basic_auth_user=self.basic_auth_user, basic_auth_pass=self.basic_auth_pass - # Filter tasks that already contain the current model version in predictions - tasks = tasks.annotate(predictions_count=Count('predictions')).exclude( - Q(predictions_count__gt=0) & Q(predictions__model_version=self.model_version) - ) - if not tasks.exists(): - logger.debug(f'All tasks already have prediction from model version={self.model_version}') - return - tasks_ser = TaskSimpleSerializer(tasks, many=True).data - ml_api_result = self.api.make_predictions(tasks_ser, self.model_version, self.project) if ml_api_result.is_error: logger.info(f'Prediction not created for project {self}: {ml_api_result.error_message}') return - if not (isinstance(ml_api_result.response, dict) and 'results' in ml_api_result.response): - logger.info(f'ML backend returns an incorrect response, it should be a dict: {ml_api_result.response}') + results = ml_api_result.response.get('results', None) + + return { + 'status': 200, + 'data': { + 'status': ml_api_result.status_code, + 'error_message': ml_api_result.error_message, + 'url': ml_api._get_url(PREDICT_URL), + 'task': task_ser, + 'request': request_params, + 'response': results, + }, + } + + def predict_and_save(self, tasks=None): + """ """ + # update model state, if model is ready it sets appropriate status and return its version + model_version = self.update_state() + if not self.ready_for_prediction(): return + # take only those tasks for which we do not have that version predictions already saved + tasks_queryset = self.get_filtered_tasks(tasks, filter_model_version=model_version) + if not tasks_queryset.exists(): + logger.debug(f'All tasks already have prediction from model version={self.model_version}') + return model_version + + # serialize data to pass to the model + tasks_ser = TaskSimpleSerializer(tasks_queryset, many=True).data + + # send a request to the model to create predictions + ml_api_result = self.api.make_predictions(tasks_ser, self.project) responses = ml_api_result.response['results'] - if len(responses) == 0: - logger.warning(f'ML backend returned empty prediction for project {self}') + # check if we've the results we need + if not self.prediction_results_ready(ml_api_result): return - # ML Backend doesn't support batch of tasks, do it one by one - elif len(responses) == 1 and len(tasks) != 1: + # check if we have support to process multiple tasks at once + # on the ML Backend side + if len(responses) == 1 and len(tasks_queryset) != 1: logger.warning( f"'ML backend '{self.title}' doesn't support batch processing of tasks, " f'switched to one-by-one task retrieval' ) - for task in tasks: - self.predict_one_task(task) + + # TODO: this is an artifact from previous code, and + # clearly not the best idea. You should not be sending a + # request to the server with all the data only to figure + # out that the server does not support it, and you need to + # move to one by one processing + instances = [self.predict_one_task(task, model_version=model_version) for task in tasks_queryset] + + return instances + + return self.handle_prediction_results(responses, tasks_queryset, tasks_ser) + + def predict_one_task(self, task, model_version=None): + """ """ + if not model_version: + self.update_state() + if not self.ready_for_prediction(): + return + + tasks_queryset = self.get_filtered_tasks([task]) + if not tasks_queryset.exists(): + logger.info( + f'Skip creating prediction with ML backend {self} for task {task}: model version ' + f'{self.model_version} is up-to-date' + ) + return + + task_ser = TaskSimpleSerializer(tasks_queryset.first()).data + ml_api_result = self.api.make_predictions([task_ser], self.project) + + if not self.prediction_results_ready(ml_api_result): return - # wrong result number - elif len(responses) != len(tasks_ser): + responses = ml_api_result.response['results'] + return self.handle_single_prediction(task, responses[0]) + + def ready_for_prediction(self): + if self.not_ready: + logger.debug(f'ML backend {self} is not ready') + return False + + return True + + def get_filtered_tasks(self, tasks, filter_model_version=None): + """Filter tasks that already contain the current model version + in predictions + + """ + if isinstance(tasks, list): + tasks = Task.objects.filter(id__in=[task.id for task in tasks]) + + if filter_model_version is None: + filter_model_version = self.model_version + + tasks = tasks.annotate(predictions_count=Count('predictions')).exclude( + Q(predictions_count__gt=0) & Q(predictions__model_version=filter_model_version) + ) + + return tasks + + def prediction_results_ready(self, ml_api_result): + """Given restuls from ML Backend understand and log the status""" + if ml_api_result.is_error: + logger.info(f'Prediction not created for project {self}: {ml_api_result.error_message}') + return False + + if not (isinstance(ml_api_result.response, dict) and 'results' in ml_api_result.response): + logger.info(f'ML backend returns an incorrect response, it should be a dict: {ml_api_result.response}') + return False + + if len(ml_api_result.response['results']) == 0: + logger.warning(f'ML backend returned empty prediction for project {self}') + return False + + return True + + def handle_prediction_results(self, responses, tasks_queryset, tasks_ser): + """ """ + if len(responses) != len(tasks_ser): logger.warning(f'ML backend returned response number {len(responses)} != task number {len(tasks_ser)}') predictions = [] @@ -211,118 +407,66 @@ def predict_tasks(self, tasks): f"ML backend returns an incorrect prediction, it should be a dict with the 'result' field:" f' {response}' ) + return + predictions.append( { 'task': task['id'], 'result': response['result'], 'score': response.get('score'), - 'model_version': response.get('model_version', self.model_version), + 'cluster': response.get('cluster'), + 'neighbors': response.get('neighbors'), + 'model_version': response.get('model_version', 'undefined'), } ) + with conditional_atomic(predicate=db_is_not_sqlite): prediction_ser = PredictionSerializer(data=predictions, many=True) prediction_ser.is_valid(raise_exception=True) - prediction_ser.save() + instances = prediction_ser.save() - def predict_one_task(self, task, check_state=True): - if check_state: - self.update_state() - if self.not_ready: - logger.debug(f'ML backend {self} is not ready to predict {task}') - return + return instances - if task.predictions.filter(model_version=self.model_version).exists(): - # prediction already exists - logger.info( - f'Skip creating prediction with ML backend {self} for task {task}: model version ' - f'{self.model_version} is up-to-date' - ) - return - ml_api = self.api + def handle_single_prediction(self, task, response): + """ """ + result = response['result'] + score = response.get('score') - task_ser = TaskSimpleSerializer(task).data - ml_api_result = ml_api.make_predictions([task_ser], self.model_version, self.project) - if ml_api_result.is_error: - logger.info(f'Prediction not created for project {self}: {ml_api_result.error_message}') - return - results = ml_api_result.response['results'] - if len(results) == 0: - logger.error(f'ML backend returned empty prediction for project {self.id}', extra={'sentry_skip': True}) - return - prediction_response = results[0] - task_id = task_ser['id'] - r = prediction_response['result'] - score = prediction_response.get('score') with conditional_atomic(predicate=db_is_not_sqlite): - prediction = Prediction.objects.create( - result=r, - score=safe_float(score), - model_version=self.model_version, - task_id=task_id, - project=task.project, - cluster=prediction_response.get('cluster'), - neighbors=prediction_response.get('neighbors'), - mislabeling=safe_float(prediction_response.get('mislabeling', 0)), + prediction_ser = PredictionSerializer( + data={ + 'result': result, + 'score': safe_float(score), + 'model': self.pk, + 'model_version': response.get('model_version', 'undefined'), + 'task': task.pk, + 'project': task.project.pk, + 'cluster': response.get('cluster'), + 'neighbors': response.get('neighbors'), + 'mislabeling': safe_float(response.get('mislabeling', 0)), + } ) - logger.debug(f'Prediction {prediction} created') - return prediction + prediction_ser.is_valid(raise_exception=True) + instance = prediction_ser.save() + + logger.debug(f'Prediction {instance} created') + + return instance def interactive_annotating(self, task, context=None, user=None): - result = {} - options = {} - if user: - options = {'user': user} + """Function to annotate a task interactively.""" if not self.is_interactive: - result['errors'] = ['Model is not set to be used for interactive preannotations'] - return result + return {'errors': ['Model is not set for interactive preannotations']} + + options = {'user': user} if user else {} tasks_ser = InteractiveAnnotatingDataSerializer( [task], many=True, expand=['drafts', 'predictions', 'annotations'], context=options ).data - ml_api_result = self.api.make_predictions( - tasks=tasks_ser, - model_version=self.model_version, - project=self.project, - context=context, - ) - if ml_api_result.is_error: - logger.info(f'Prediction not created for project {self}: {ml_api_result.error_message}') - result['errors'] = [ml_api_result.error_message] - return result - if not (isinstance(ml_api_result.response, dict) and 'results' in ml_api_result.response): - logger.info(f'ML backend returns an incorrect response, it must be a dict: {ml_api_result.response}') - result['errors'] = [ - 'Incorrect response from ML service: ' 'ML backend returns an incorrect response, it must be a dict.' - ] - return result - - ml_results = ml_api_result.response.get( - 'results', - [ - None, - ], - ) - if not isinstance(ml_results, list) or len(ml_results) < 1: - logger.warning(f'ML backend has to return list with 1 annotation but it returned: {type(ml_results)}') - result['errors'] = [ - 'Incorrect response from ML service: ' 'ML backend has to return list with more than 1 result.' - ] - return result - result['data'] = ml_results[0] - return result - - @staticmethod - def get_versions_(url, project): - api = MLApi(url=url) - if not isinstance(project, Project): - project = Project.objects.get(pk=project) - return api.get_versions(project) - - def get_versions(self): - return self.get_versions_(self.url, self.project) + return self.api.make_predictions(tasks=tasks_ser, project=self.project, context=context) class MLBackendPredictionJob(models.Model): @@ -391,6 +535,16 @@ def _validate_ml_api_result(ml_api_result, tasks, curr_logger): return True +@receiver(pre_delete, sender=MLBackend) +def modify_project_model_version(sender, instance, **kwargs): + """ """ + project = instance.project + + if project.model_version == instance.title: + project.model_version = None + project.save() + + @receiver(post_save, sender=MLBackend) def create_ml_webhook(sender, instance, created, **kwargs): if not created: diff --git a/label_studio/ml/serializers.py b/label_studio/ml/serializers.py index 21b7ccabb234..f7e20a55d54a 100644 --- a/label_studio/ml/serializers.py +++ b/label_studio/ml/serializers.py @@ -2,50 +2,119 @@ """ from core.utils.io import validate_upload_url from django.conf import settings -from ml.models import MLBackend +from ml.models import MLBackend, MLBackendAuth from rest_framework import serializers class MLBackendSerializer(serializers.ModelSerializer): + """ """ + + readable_state = serializers.SerializerMethodField() + basic_auth_pass = serializers.CharField(write_only=True, required=False, allow_null=True, allow_blank=True) + basic_auth_pass_is_set = serializers.SerializerMethodField() + + def get_basic_auth_pass_is_set(self, obj): + return bool(obj.basic_auth_pass) + + def get_readable_state(self, obj): + return obj.get_state_display() + + def validate_basic_auth_pass(self, value): + # Checks if the new password and old password are non-existent. + if not value: + if not self.instance.basic_auth_pass: + raise serializers.ValidationError('Authentication password is required for Basic Authentication.') + else: + # If user is not changing the password, return the old password. + return self.instance.basic_auth_pass + return value + def validate_url(self, value): validate_upload_url(value, block_local_urls=settings.ML_BLOCK_LOCAL_IP) return value - def validate(self, attrs): - attrs = super(MLBackendSerializer, self).validate(attrs) - url = attrs['url'] - healthcheck_response = MLBackend.healthcheck_(url) + def _validate_authentication(self, attrs): + """ """ + if attrs.get('auth_method') == MLBackendAuth.BASIC_AUTH: + required_fields = ['basic_auth_user', 'basic_auth_pass'] + + if any(field not in attrs for field in required_fields): + raise serializers.ValidationError( + 'When you select Basic Auth you need to provide' 'Username and Password parameters' + ) + + def _validate_healthcheck(self, attrs): + """ """ + healthcheck_response = MLBackend.healthcheck_(**attrs) + if healthcheck_response.is_error: - raise serializers.ValidationError( - f"Can't connect to ML backend {url}, health check failed. " - f'Make sure it is up and your firewall is properly configured. ' - f'Learn more' - f' about how to set up an ML backend. Additional info:' + healthcheck_response.error_message - ) - project = attrs['project'] - setup_response = MLBackend.setup_(url, project) + if healthcheck_response.status_code == 401: + message = ( + 'Able to connect to ML Server, but authentication parameters were ' + 'either not provided or are incorrect.' + ) + else: + message = ( + f"Can't connect to ML backend {attrs['url']}, health check failed. " + 'Make sure it is up and your firewall is properly configured. ' + f'Learn more ' + f'about how to set up an ML backend. Additional info: {healthcheck_response.error_message}' + ) + + raise serializers.ValidationError(message) + + def _validate_setup(self, attrs): + """ """ + setup_response = MLBackend.setup_(**attrs) + if setup_response.is_error: - raise serializers.ValidationError( - f"Successfully connected to {url} but it doesn't look like a valid ML backend. " + message = ( + f"Successfully connected to {attrs['url']} but it doesn't look like a valid ML backend. " f'Reason: {setup_response.error_message}.\n' - f'Check the ML backend server console logs to check the status. There might be\n' - f'something wrong with your model or it might be incompatible with the current labeling configuration.' + 'Check the ML backend server console logs to check the status.' + 'There might be something wrong with your model or it might be incompatible with the current labeling configuration.' ) + + raise serializers.ValidationError(message) + + def validate(self, attrs): + """ """ + attrs = super().validate(attrs) + + self._validate_authentication(attrs) + self._validate_healthcheck(attrs) + self._validate_setup(attrs) + return attrs class Meta: model = MLBackend - fields = '__all__' + fields = [ + 'id', + 'state', + 'readable_state', + 'is_interactive', + 'url', + 'error_message', + 'title', + 'auth_method', + 'basic_auth_user', + 'basic_auth_pass', + 'basic_auth_pass_is_set', + 'description', + 'extra_params', + 'model_version', + 'timeout', + 'created_at', + 'updated_at', + 'auto_update', + 'project', + ] class MLInteractiveAnnotatingRequest(serializers.Serializer): - task = serializers.IntegerField( - help_text='ID of task to annotate', - required=True, - ) - context = serializers.JSONField( - help_text='Context for ML model', - allow_null=True, - default=None, - ) + """ """ + + task = serializers.IntegerField(help_text='ID of task to annotate', required=True) + context = serializers.JSONField(help_text='Context for ML model', allow_null=True, default=None) diff --git a/label_studio/ml/urls.py b/label_studio/ml/urls.py index 6d36fe505cfc..3af710e4a30e 100644 --- a/label_studio/ml/urls.py +++ b/label_studio/ml/urls.py @@ -12,6 +12,7 @@ path('', api.MLBackendListAPI.as_view(), name='ml-list'), path('', api.MLBackendDetailAPI.as_view(), name='ml-detail'), path('/train', api.MLBackendTrainAPI.as_view(), name='ml-train'), + path('/predict/test', api.MLBackendPredictTestAPI.as_view(), name='ml-predict-test'), path( '/interactive-annotating', api.MLBackendInteractiveAnnotating.as_view(), diff --git a/label_studio/projects/api.py b/label_studio/projects/api.py index 503d35a86715..dd8e4e68c52b 100644 --- a/label_studio/projects/api.py +++ b/label_studio/projects/api.py @@ -22,6 +22,7 @@ from django_filters import CharFilter, FilterSet from django_filters.rest_framework import DjangoFilterBackend from drf_yasg.utils import swagger_auto_schema +from ml.serializers import MLBackendSerializer from projects.functions.next_task import get_next_task from projects.functions.stream_history import get_label_stream_history from projects.functions.utils import recalculate_created_annotations_and_labels_from_scratch @@ -30,6 +31,7 @@ GetFieldsSerializer, ProjectImportSerializer, ProjectLabelConfigSerializer, + ProjectModelVersionExtendedSerializer, ProjectReimportSerializer, ProjectSerializer, ProjectSummarySerializer, @@ -640,5 +642,34 @@ class ProjectModelVersions(generics.RetrieveAPIView): queryset = Project.objects.all() def get(self, request, *args, **kwargs): + # TODO make sure "extended" is the right word and is + # consistent with other APIs we've got + extended = self.request.query_params.get('extended', False) + include_live_models = self.request.query_params.get('include_live_models', False) project = self.get_object() - return Response(data=project.get_model_versions(with_counters=True)) + data = project.get_model_versions(with_counters=True, extended=extended) + + if extended: + serializer_models = None + serializer = ProjectModelVersionExtendedSerializer(data, many=True) + + if include_live_models: + ml_models = project.get_ml_backends() + serializer_models = MLBackendSerializer(ml_models, many=True) + + # serializer.is_valid(raise_exception=True) + return Response({'static': serializer.data, 'live': serializer_models and serializer_models.data}) + else: + return Response(data=data) + + def delete(self, request, *args, **kwargs): + """ """ + project = self.get_object() + model_version = request.data.get('model_version', None) + + if not model_version: + raise RestValidationError('model_version param is required') + + count = project.delete_predictions(model_version=model_version) + + return Response(data=count) diff --git a/label_studio/projects/models.py b/label_studio/projects/models.py index 82ac800da4d1..948ec158bfae 100644 --- a/label_studio/projects/models.py +++ b/label_studio/projects/models.py @@ -30,7 +30,7 @@ from django.conf import settings from django.core.validators import MaxLengthValidator, MinLengthValidator from django.db import models, transaction -from django.db.models import Avg, BooleanField, Case, Count, JSONField, Q, Sum, Value, When +from django.db.models import Avg, BooleanField, Case, Count, JSONField, Max, Q, Sum, Value, When from django.utils.translation import gettext_lazy as _ from label_studio_tools.core.label_config import parse_config from labels_manager.models import Label @@ -176,6 +176,12 @@ class SkipQueue(models.TextChoices): show_collab_predictions = models.BooleanField( _('show predictions to annotator'), default=True, help_text='If set, the annotator can view model predictions' ) + # use_ml_backend = models.BooleanField( + # _('use ml backend'), default=False, help_text='If the project should use ML Backend model for predictions (alternative is to use static predictions uploaded offline).' + # ) + + # evaluate is the wrong word here. correct should be retrieve_predictions_automatically + # depricated evaluate_predictions_automatically = models.BooleanField( _('evaluate predictions automatically'), default=False, @@ -217,9 +223,18 @@ class SkipQueue(models.TextChoices): 'and the first label Car should be twice more important than Airplaine, then you have to need the specify: ' "{'my_bbox': {'type': 'RectangleLabels', 'labels': {'Car': 1.0, 'Airplaine': 0.5}, 'overall': 0.33}", ) + + # Welcome reader! You might be wondering how `model_version` is + # set and used; let's explain. `model_version` can either be set + # to the prediction `model_version` associated with the + # `tasks.Prediction` model, or to the ML backend title. Yes, + # understandably, this can be confusing. However, this appears to + # be the best approach we currently have for improving the + # experience while maintaining backward compatibility. model_version = models.TextField( _('model version'), blank=True, null=True, default='', help_text='Machine learning model version' ) + data_types = JSONField(_('data_types'), default=dict, null=True) is_draft = models.BooleanField( @@ -259,12 +274,17 @@ class SkipQueue(models.TextChoices): pinned_at = models.DateTimeField(_('pinned at'), null=True, default=None, help_text='Pinned date and time') def __init__(self, *args, **kwargs): + """ """ + super(Project, self).__init__(*args, **kwargs) self.__original_label_config = self.label_config self.__maximum_annotations = self.maximum_annotations self.__overlap_cohort_percentage = self.overlap_cohort_percentage self.__skip_queue = self.skip_queue + # if rpa is not None: + # self.evaluate_predictions_automatically = rpa + # TODO: once bugfix with incorrect data types in List # logging.warning('! Please, remove code below after patching of all projects (extract_data_types)') if self.label_config is not None: @@ -276,18 +296,25 @@ def __init__(self, *args, **kwargs): def num_tasks(self): return self.tasks.count() - def get_current_predictions(self): - if flag_set( - 'fflag_perf_back_lsdv_4695_update_prediction_query_to_use_direct_project_relation', - user='auto', - ): - return Prediction.objects.filter(Q(project=self.id) & Q(model_version=self.model_version)) - else: - return Prediction.objects.filter(Q(task__project=self.id) & Q(model_version=self.model_version)) + @property + def ml_backend(self): + return self.ml_backends.first() @property - def num_predictions(self): - return self.get_current_predictions().count() + def should_retrieve_predictions(self): + """Returns true if the model was set to be used""" + if self.show_collab_predictions: + ml = self.ml_backend + if ml: + return ml.title == self.model_version + + return False + + # if project.show_collab_predictions and \ + # project.use_live_model and \ + # project.model_version is not None: + # ml = project.ml_backends.filter(title=project.model_version) + # return ml if ml.exists() else None @property def num_annotations(self): @@ -297,10 +324,6 @@ def num_annotations(self): def num_drafts(self): return AnnotationDraft.objects.filter(task__project=self).count() - @property - def has_predictions(self): - return self.get_current_predictions().exists() - @property def has_any_predictions(self): if flag_set( @@ -644,16 +667,41 @@ def display_count(count: int, type: str) -> Optional[str]: def _label_config_has_changed(self): return self.label_config != self.__original_label_config - def delete_predictions(self): - if flag_set( - 'fflag_perf_back_lsdv_4695_update_prediction_query_to_use_direct_project_relation', - user='auto', - ): - predictions = Prediction.objects.filter(project=self) - else: - predictions = Prediction.objects.filter(task__project=self) + def should_none_model_version(self, model_version): + """ + Returns True if the model version provided matches the object's model version, + or no model version is set for the object but model version exists in ML backend. + """ + return self.model_version == model_version or self.ml_backend_in_model_version + + def delete_predictions(self, model_version=None, *args, **kwargs): + """ + Deletes the predictions based on the provided model version. + If no model version is provided, it deletes all the predictions for this project. + + :param model_version: Identifier of the model version (default is None) + :type model_version: str, optional + :return: Dictionary with count of deleted predictions + :rtype: dict + """ + params = {'project': self} + + if model_version: + params.update({'model_version': model_version}) + + predictions = Prediction.objects.filter(**params) count = predictions.count() - predictions.delete() + + with transaction.atomic(): + # If we are deleting specific model_version then we need + # to remove that from the project + if self.should_none_model_version(model_version): + self.model_version = None + self.save() + + predictions.delete() + + ## TODO wtf is that returning return {'deleted_predictions': count} def get_updated_weights(self): @@ -862,13 +910,12 @@ def get_counters(self): result[field] = value return result - def get_model_versions(self, with_counters=False): + def get_model_versions(self, with_counters=False, extended=False): """ - Get model_versions from project predictions - :param with_counters: With count of predictions for each version - :return: - Dict or list - {model_version: count_predictions}, [model_versions] + Get model_versions from project predictions. + :param with_counters: Boolean, if True, counts predictions for each version. Default is False. + :param extended: Boolean, if True, returns additional information. Default is False. + :return: Dict or list containing model versions and their count predictions. """ if flag_set( 'fflag_perf_back_lsdv_4695_update_prediction_query_to_use_direct_project_relation', @@ -878,19 +925,63 @@ def get_model_versions(self, with_counters=False): else: predictions = Prediction.objects.filter(task__project=self) # model_versions = set(predictions.values_list('model_version', flat=True).distinct()) - model_versions = predictions.values('model_version').annotate(count=Count('model_version')) - output = {r['model_version']: r['count'] for r in model_versions} - if self.model_version is not None and self.model_version not in output: - output[self.model_version] = 0 - if with_counters: - return output + + if extended: + model_versions = list( + predictions.values('model_version').annotate(count=Count('model_version'), latest=Max('created_at')) + ) + + # remove the load from the DB side and sort in here + model_versions.sort(key=lambda x: x['latest'], reverse=True) + + return model_versions else: - return list(output) + # TODO this needs to be removed at some point + model_versions = predictions.values('model_version').annotate(count=Count('model_version')) + output = {r['model_version']: r['count'] for r in model_versions} + + # Ensure that self.model_version exists in output + if self.model_version is not None and self.model_version not in output: + output[self.model_version] = 0 + + # Return as per requirement + return output if with_counters else list(output.keys()) + + def get_ml_backends(self, *args, **kwargs): + """ """ + from ml.models import MLBackend + + return MLBackend.objects.filter(project=self, **kwargs) + + def has_ml_backend(self, *args, **kwargs): + """ """ + return self.get_ml_backends(**kwargs).exists() + + @property + def ml_backend_in_model_version(self): + """ + Returns True if the ml_backend title matches this model version. + If this model version is not set, Returns False + """ + return bool(self.model_version and self.has_ml_backend(title=self.model_version)) + + def update_ml_backends_state(self): + """ + Updates the state of all ml_backends associated with this instance. + + :return: List of updated MLBackend instances. + """ + ml_backends = self.get_ml_backends() + for mlb in ml_backends: + mlb.update_state() + + return ml_backends def get_active_ml_backends(self): - from ml.models import MLBackend, MLBackendState + """ """ + from ml.models import MLBackendState - return MLBackend.objects.filter(project=self, state=MLBackendState.CONNECTED) + return self.get_ml_backends(state=MLBackendState.CONNECTED) def get_all_storage_objects(self, type_='import'): from io_storages.models import get_storage_classes diff --git a/label_studio/projects/serializers.py b/label_studio/projects/serializers.py index efa8033ff57c..188f61afc4d0 100644 --- a/label_studio/projects/serializers.py +++ b/label_studio/projects/serializers.py @@ -94,6 +94,7 @@ def to_internal_value(self, data): # FIXME: remake this logic with start_training_on_annotation_update initial_data = data data = super().to_internal_value(data) + if 'start_training_on_annotation_update' in initial_data: data['min_annotations_to_start_training'] = int(initial_data['start_training_on_annotation_update']) @@ -166,6 +167,36 @@ def validate_label_config(self, value): self.instance.validate_config(value) return value + def validate_model_version(self, value): + """Custom model_version validation""" + p = self.instance + + # Only run the validation if model_version is about to change + # and it contains a string + if p is not None and p.model_version != value and value != '': + # that model_version should either match live ml backend + # or match version in predictions + + if ( + p.ml_backends.filter(title=value).exists() + or p.predictions.filter(project=p, model_version=value).exists() + ): + return value + else: + raise serializers.ValidationError( + "Model version doesn't exist either as live model or as static predictions." + ) + + return value + + def update(self, instance, validated_data): + """ """ + # assume there is a flag, 'is_name_updated', in model to track if a name has been updated + if not validated_data.get('show_collab_predictions'): + instance.model_version = '' + + return super().update(instance, validated_data) + def get_queue_total(self, project): remain = project.tasks.filter( Q(is_labeled=False) & ~Q(annotations__completed_by_id=self.user_id) @@ -220,6 +251,12 @@ class Meta: fields = '__all__' +class ProjectModelVersionExtendedSerializer(serializers.Serializer): + model_version = serializers.CharField() + count = serializers.IntegerField() + latest = serializers.DateTimeField() + + class GetFieldsSerializer(serializers.Serializer): include = serializers.CharField(required=False) filter = serializers.CharField(required=False, default='all') diff --git a/label_studio/tasks/api.py b/label_studio/tasks/api.py index 0e88f15f27e9..99f952bb8d50 100644 --- a/label_studio/tasks/api.py +++ b/label_studio/tasks/api.py @@ -9,7 +9,6 @@ from core.utils.common import DjangoFilterDescriptionInspector from core.utils.params import bool_from_request from data_manager.api import TaskListAPI as DMTaskListAPI -from data_manager.functions import evaluate_predictions from data_manager.models import PrepareParams from data_manager.serializers import DataManagerTaskSerializer from django.db import transaction @@ -181,18 +180,21 @@ def get_retrieve_serializer_context(self, request): def get(self, request, pk): context = self.get_retrieve_serializer_context(request) - context['project'] = project = self.task.project + context['project'] = self.task.project # get prediction - if ( - project.evaluate_predictions_automatically or project.show_collab_predictions - ) and not self.task.predictions.exists(): - evaluate_predictions([self.task]) + if self.task.project.show_collab_predictions: + self.task.refresh_predictions() self.task.refresh_from_db() + # predictions = retrieve_predictions([task]) + # if predictions: + # self.task.refresh_from_db() + serializer = self.get_serializer_class()( self.task, many=False, context=context, expand=['annotations.completed_by'] ) + data = serializer.data return Response(data) @@ -223,20 +225,21 @@ def get_serializer_class(self): else: return TaskSimpleSerializer - def retrieve(self, request, *args, **kwargs): - task = self.get_object() - project = task.project + # def retrieve(self, request, *args, **kwargs): + # print("def retrieve(self, request, *args, **kwargs):") + # task = self.get_object() + # project = task.project - # call machine learning api and format response - if project.evaluate_predictions_automatically: - for ml_backend in task.project.ml_backends.all(): - ml_backend.predict_tasks([task]) + # # call machine learning api and format response + # if project.retrieve_predictions_automatically: + # for ml_backend in task.project.ml_backends.all(): + # ml_backend.predict_tasks([task]) - result = self.get_serializer(task).data + # result = self.get_serializer(task).data - # use proxy inlining to task data (for credential access) - result['data'] = task.resolve_uri(result['data'], project) - return Response(result) + # # use proxy inlining to task data (for credential access) + # result['data'] = task.resolve_uri(result['data'], project) + # return Response(result) def patch(self, request, *args, **kwargs): return super(TaskAPI, self).patch(request, *args, **kwargs) diff --git a/label_studio/tasks/migrations/0046_auto_20240202_0410.py b/label_studio/tasks/migrations/0046_auto_20240202_0410.py new file mode 100644 index 000000000000..bf3086a71bed --- /dev/null +++ b/label_studio/tasks/migrations/0046_auto_20240202_0410.py @@ -0,0 +1,25 @@ +# Generated by Django 3.2.23 on 2024-02-02 04:10 + +from django.db import migrations, models +import django.db.models.deletion + + +class Migration(migrations.Migration): + + dependencies = [ + ('ml', '0007_auto_20240128_0051'), + ('tasks', '0045_auto_20231124_1238'), + ] + + operations = [ + migrations.AddField( + model_name='prediction', + name='model', + field=models.ForeignKey(help_text='An ML Backend instance that created the prediction.', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='predictions', to='ml.mlbackend'), + ), + migrations.AlterField( + model_name='prediction', + name='model_version', + field=models.TextField(blank=True, default='', help_text='A string value that for model version that produced the prediction. Used in both live models and when uploading offline predictions.', null=True, verbose_name='model version'), + ), + ] diff --git a/label_studio/tasks/models.py b/label_studio/tasks/models.py index 456f1fb06bc8..3444053dd968 100644 --- a/label_studio/tasks/models.py +++ b/label_studio/tasks/models.py @@ -5,6 +5,7 @@ import logging import numbers import os +import random import uuid from typing import Any, Mapping, Optional, cast from urllib.parse import urljoin @@ -178,6 +179,20 @@ class Meta: def file_upload_name(self): return os.path.basename(self.file_upload.file.name) + @classmethod + def get_random(cls, project): + """Get random task from a project, this should not be used lightly as its expensive method to run""" + if project is None: + raise Exception('Project id is required') + + ids = cls.objects.filter(project=project).values_list('id', flat=True) + if len(ids) == 0: + return None + + random_id = random.choice(ids) + + return cls.objects.get(id=random_id) + @classmethod def get_locked_by(cls, user, project=None, tasks=None): """Retrieve the task locked by specified user. Returns None if the specified user didn't lock anything.""" @@ -194,6 +209,45 @@ def get_locked_by(cls, user, project=None, tasks=None): if lock: return lock.task + def refresh_predictions(self): + """This is called to get new predictions from the model if its connected""" + from data_manager.functions import retrieve_predictions + + if self.project.should_retrieve_predictions: + # TODO where is the check for duplicate lives? + return retrieve_predictions([self]) + + def get_predictions_for_prelabeling(self): + """This is called to return either new predictions from the + model or grab static predictions if they were set, depending + on the projects configuration. + + """ + from data_manager.functions import retrieve_predictions + + project = self.project + predictions = self.predictions + + # if we even + # TODO if we use live_model on project then we will need to check for it here + if project.show_collab_predictions and project.model_version is not None: + if project.ml_backend_in_model_version: + new_predictions = retrieve_predictions([self]) + # TODO this is not as clean as I'd want it to + # be. Effectively retrieve_predictions will work only for + # tasks where there is no predictions matching current + # model version. In case it will return a model_version + # and we can grab predictions explicitly + if isinstance(new_predictions, str): + model_version = new_predictions + return predictions.filter(model_version=model_version) + else: + return new_predictions + else: + return predictions.filter(model_version=project.model_version) + else: + return [] + def has_lock(self, user=None): """ Check whether current task has been locked by some user @@ -808,7 +862,23 @@ class Prediction(models.Model): result = JSONField('result', null=True, default=dict, help_text='Prediction result') score = models.FloatField(_('score'), default=None, help_text='Prediction score', null=True) - model_version = models.TextField(_('model version'), default='', blank=True, null=True) + + model_version = models.TextField( + _('model version'), + default='', + blank=True, + null=True, + help_text='A string value that for model version that produced the prediction. Used in both live models and when uploading offline predictions.', + ) + + model = models.ForeignKey( + 'ml.MLBackend', + on_delete=models.CASCADE, + related_name='predictions', + null=True, + help_text='An ML Backend instance that created the prediction.', + ) + cluster = models.IntegerField( _('cluster'), default=None, diff --git a/label_studio/tasks/serializers.py b/label_studio/tasks/serializers.py index 0a87e820ec89..63e4dd174025 100644 --- a/label_studio/tasks/serializers.py +++ b/label_studio/tasks/serializers.py @@ -576,59 +576,6 @@ class Meta: exclude = () -class TaskIDWithAnnotationsSerializer(TaskSerializer): - """ """ - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - # TODO: this called twice due to base class initializer - self.fields['annotations'] = AnnotationSerializer(many=True, default=[], context=self.context) - - class Meta: - model = Task - fields = ['id', 'annotations'] - - -class TaskWithPredictionsSerializer(TaskSerializer): - """ """ - - predictions = PredictionSerializer(many=True, default=[], read_only=True) - - class Meta: - model = Task - fields = '__all__' - - -class TaskWithAnnotationsAndPredictionsSerializer(TaskSerializer): - predictions = PredictionSerializer(many=True, default=[], read_only=True) - annotations = serializers.SerializerMethodField(default=[], read_only=True) - - def get_annotations(self, task): - annotations = task.annotations - - if 'request' in self.context: - user = self.context['request'].user - if user.is_annotator: - annotations = annotations.filter(completed_by=user) - - return AnnotationSerializer(annotations, many=True, read_only=True, default=True, context=self.context).data - - @staticmethod - def generate_prediction(task): - """Generate prediction for task and store it to Prediction model""" - prediction = task.predictions.filter(model_version=task.project.model_version) - if not prediction.exists(): - task.project.create_prediction(task) - - def to_representation(self, instance): - self.generate_prediction(instance) - return super().to_representation(instance) - - class Meta: - model = Task - exclude = () - - class AnnotationDraftSerializer(ModelSerializer): user = serializers.CharField(default=serializers.CurrentUserDefault()) created_username = serializers.SerializerMethodField(default='', read_only=True, help_text='User name string') @@ -711,13 +658,19 @@ def get_unique_lock_id(self, task): return lock.unique_id def get_predictions(self, task): - project = task.project - if not project.show_collab_predictions: - return [] - else: - for ml_backend in project.ml_backends.all(): - ml_backend.predict_tasks([task]) - return super().get_predictions(task) + """ """ + predictions = task.get_predictions_for_prelabeling() + return PredictionSerializer(predictions, many=True, read_only=True, default=[], context=self.context).data + + # def get_predictions(self, task): + # project = task.project + + # if not project.show_collab_predictions: + # return [] + # else: + # # for ml_backend in project.ml_backends.all(): + # # ml_backend.predict_tasks([task]) + # return super().get_predictions(task) def get_annotations(self, task): result = [] diff --git a/label_studio/tests/ml.tavern.yml b/label_studio/tests/ml.tavern.yml deleted file mode 100644 index 8ddf3edb24f6..000000000000 --- a/label_studio/tests/ml.tavern.yml +++ /dev/null @@ -1,481 +0,0 @@ ---- -test_name: test_ml_backend_creation -strict: false -marks: -- usefixtures: - - django_live_url -stages: - - id: signup - type: ref - - name: stage - request: - data: - email: test_ml_backend_creation@test.com - password: 12345678 - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/user/signup' - response: - status_code: 302 - - name: stage - request: - data: - is_published: true - label_config: - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/api/projects' - response: - save: - json: - project_pk: id - status_code: 201 - - name: stage - request: - data: - project: '{project_pk}' - title: My Testing ML backend - url: https://test.heartex.mlbackend.com:9090 - method: POST - url: '{django_live_url}/api/ml' - response: - json: - model_version: '' - state: CO - save: - json: - ml_pk: id - status_code: 201 - - name: stage - request: - method: POST - url: '{django_live_url}/api/ml/{ml_pk}/train' - response: - status_code: 200 - - name: stage - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk}' - response: - json: - state: CO - status_code: 200 - - name: check versions - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk}/versions' - response: - status_code: 200 - - name: stage - request: - headers: - content-type: application/json - json: - url: https://test.heartex.mlbackend.com:9091 - method: PATCH - url: '{django_live_url}/api/ml/{ml_pk}' - response: - status_code: 400 - - name: stage - request: - method: DELETE - url: '{django_live_url}/api/ml/{ml_pk}' - response: - status_code: 204 ---- -test_name: test_ml_backend_multiple_creation -strict: false -marks: -- usefixtures: - - django_live_url -stages: - - id: signup - type: ref - - name: stage - request: - data: - email: test_ml_backend_creation@test.com - password: 12345678 - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/user/signup' - response: - status_code: 302 - - name: stage - request: - data: - is_published: true - label_config: - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/api/projects' - response: - save: - json: - project_pk: id - status_code: 201 - - name: stage - request: - data: - project: '{project_pk}' - title: My Testing ML backend 1 - url: https://test.heartex.mlbackend.com:9090 - method: POST - url: '{django_live_url}/api/ml' - response: - json: - model_version: '' - state: CO - save: - json: - ml_pk1: id - status_code: 201 - - name: stage - request: - data: - project: '{project_pk}' - title: My Testing ML backend 2 - url: https://test.heartex.mlbackend.com:9090 - method: POST - url: '{django_live_url}/api/ml' - response: - json: - model_version: '' - state: CO - save: - json: - ml_pk2: id - status_code: 201 - - name: stage - request: - method: POST - url: '{django_live_url}/api/ml/{ml_pk1}/train' - response: - status_code: 200 - - name: stage - request: - method: POST - url: '{django_live_url}/api/ml/{ml_pk2}/train' - response: - status_code: 200 - - name: stage - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk1}' - response: - json: - state: CO - status_code: 200 - - name: stage - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk2}' - response: - json: - state: CO - status_code: 200 - - name: check versions - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk1}/versions' - response: - status_code: 200 - - name: check versions - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk2}/versions' - response: - status_code: 200 - - name: stage - request: - headers: - content-type: application/json - json: - url: https://test.heartex.mlbackend.com:9091 - method: PATCH - url: '{django_live_url}/api/ml/{ml_pk1}' - response: - status_code: 400 - - name: stage - request: - headers: - content-type: application/json - json: - url: https://test.heartex.mlbackend.com:9091 - method: PATCH - url: '{django_live_url}/api/ml/{ml_pk2}' - response: - status_code: 400 - - name: stage - request: - method: DELETE - url: '{django_live_url}/api/ml/{ml_pk1}' - response: - status_code: 204 - - name: stage - request: - method: DELETE - url: '{django_live_url}/api/ml/{ml_pk2}' - response: - status_code: 204 - -# Verify model version changes every time an annotation is made when auto update is enabled ---- -test_name: test_ml_backend_auto_update -strict: false -marks: -- usefixtures: - - django_live_url - - mock_ml_auto_update -stages: - - id: signup - type: ref - - name: signup user - request: - data: - email: test_ml_backend_creation@test.com - password: 12345678 - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/user/signup' - response: - status_code: 302 - - name: setup project - request: - data: - is_published: true - label_config: - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/api/projects' - response: - save: - json: - project_pk: id - status_code: 201 - - name: import_task - request: - url: "{django_live_url}/api/projects/{project_pk}/tasks" - json: - data: - text: Test example phrase - method: POST - headers: - content-type: application/json - response: - status_code: 201 - save: - json: - task_pk: id - - name: add ml backend - request: - data: - auto_update: true - description: '' - is_interactive: false - project: '{project_pk}' - title: test_ml_backend_creation - url: 'http://localhost:9090' - method: POST - url: '{django_live_url}/api/ml' - response: - json: - auto_update: true - project: !int '{project_pk}' - save: - json: - ml_pk: id - status_code: 201 - - name: connect to ml backend - request: - method: GET - url: '{django_live_url}/api/ml?project={project_pk}' - response: - status_code: 200 - json: - - auto_update: true - url: 'http://localhost:9090' - model_version: version1 - save: - json: - last_model_version: model_version - - name: create_annotation - request: - url: "{django_live_url}/api/tasks/{task_pk}/annotations" - json: - lead_time: 4.134 - project: !int "{project_pk}" - result: - - value: - choices: - - Negative - id: wMmVN7k_47 - from_name: sentiment - to_name: text - type: choices - method: POST - headers: - content-type: application/json - response: - status_code: 201 - - name: verify model version has changed - request: - method: GET - url: '{django_live_url}/api/ml?project={project_pk}' - response: - status_code: 200 - json: - - auto_update: true - url: 'http://localhost:9090' - model_version: "version2" - - name: verify model version has changed again - request: - method: GET - url: '{django_live_url}/api/ml?project={project_pk}' - response: - status_code: 200 - json: - - auto_update: true - url: 'http://localhost:9090' - model_version: "version3" - -# Verify model version stays the same if auto_update is disabled, until explicitly changed ---- -test_name: test_ml_backend_auto_update_disabled -strict: false -marks: -- usefixtures: - - django_live_url - - mock_ml_backend_auto_update_disabled -stages: - - id: signup - type: ref - - name: signup user - request: - data: - email: test_ml_backend_creation@test.com - password: 12345678 - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/user/signup' - response: - status_code: 302 - - name: setup project - request: - data: - is_published: true - label_config: - title: test_ml_backend_creation - method: POST - url: '{django_live_url}/api/projects' - response: - save: - json: - project_pk: id - status_code: 201 - - name: import_task - request: - url: "{django_live_url}/api/projects/{project_pk}/tasks" - json: - data: - text: Test example phrase - method: POST - headers: - content-type: application/json - response: - status_code: 201 - save: - json: - task_pk: id - - name: add ml backend - request: - data: - auto_update: false - description: '' - is_interactive: false - project: '{project_pk}' - title: test_ml_backend_creation - url: 'http://localhost:9090' - method: POST - url: '{django_live_url}/api/ml' - response: - json: - auto_update: false - project: !int '{project_pk}' - save: - json: - ml_pk: id - status_code: 201 - - name: connect to ml backend - request: - method: GET - url: '{django_live_url}/api/ml?project={project_pk}' - response: - status_code: 200 - json: - - auto_update: false - url: 'http://localhost:9090' - model_version: '' - - name: create_annotation - request: - url: "{django_live_url}/api/tasks/{task_pk}/annotations" - json: - lead_time: 4.134 - project: !int "{project_pk}" - result: - - value: - choices: - - Negative - id: wMmVN7k_47 - from_name: sentiment - to_name: text - type: choices - method: POST - headers: - content-type: application/json - response: - status_code: 201 - - name: verify model version has not changed - request: - method: GET - url: '{django_live_url}/api/ml?project={project_pk}' - response: - status_code: 200 - json: - - auto_update: false - url: 'http://localhost:9090' - model_version: '' - - name: check versions - request: - method: GET - url: '{django_live_url}/api/ml/{ml_pk}/versions' - response: - status_code: 200 - json: - versions: - - "1" - - "2" - - name: update version explicitly - request: - method: PATCH - url: '{django_live_url}/api/ml/{ml_pk}' - json: - model_version: "2" - url: 'http://localhost:9090' - project: !int '{project_pk}' - response: - status_code: 200 - json: - model_version: "2" - - name: verify model version has now changed - request: - method: GET - url: '{django_live_url}/api/ml?project={project_pk}' - response: - status_code: 200 - json: - - auto_update: false - url: 'http://localhost:9090' - model_version: "2" \ No newline at end of file diff --git a/label_studio/tests/ml/__init__.py b/label_studio/tests/ml/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/ml/tavern/test_ml_backend_creation.tavern.yml b/label_studio/tests/ml/tavern/test_ml_backend_creation.tavern.yml new file mode 100644 index 000000000000..cc539288e024 --- /dev/null +++ b/label_studio/tests/ml/tavern/test_ml_backend_creation.tavern.yml @@ -0,0 +1,85 @@ +--- +test_name: test_ml_backend_creation +strict: false +marks: +- usefixtures: + - django_live_url +stages: + - id: signup + type: ref + - name: stage + request: + data: + email: test_ml_backend_creation@test.com + password: 12345678 + title: test_ml_backend_creation + method: POST + url: '{django_live_url}/user/signup' + response: + status_code: 302 + - name: stage + request: + data: + is_published: true + label_config: + title: test_ml_backend_creation + method: POST + url: '{django_live_url}/api/projects' + response: + save: + json: + project_pk: id + status_code: 201 + - name: stage + request: + data: + project: '{project_pk}' + title: My Testing ML backend + url: https://test.heartex.mlbackend.com:9090 + method: POST + url: '{django_live_url}/api/ml' + response: + json: + model_version: '' + state: CO + save: + json: + ml_pk: id + status_code: 201 + - name: stage + request: + method: POST + url: '{django_live_url}/api/ml/{ml_pk}/train' + response: + status_code: 200 + - name: stage + request: + method: GET + url: '{django_live_url}/api/ml/{ml_pk}' + response: + json: + state: CO + status_code: 200 + - name: check versions + request: + method: GET + url: '{django_live_url}/api/ml/{ml_pk}/versions' + response: + status_code: 200 + - name: stage + request: + headers: + content-type: application/json + json: + url: https://test.heartex.mlbackend.com:9091 + method: PATCH + url: '{django_live_url}/api/ml/{ml_pk}' + response: + status_code: 400 + - name: stage + request: + method: DELETE + url: '{django_live_url}/api/ml/{ml_pk}' + response: + status_code: 204 diff --git a/label_studio/tests/ml/tavern/test_ml_backend_multiple_creation.tavern.yml b/label_studio/tests/ml/tavern/test_ml_backend_multiple_creation.tavern.yml new file mode 100644 index 000000000000..3499c5393a4e --- /dev/null +++ b/label_studio/tests/ml/tavern/test_ml_backend_multiple_creation.tavern.yml @@ -0,0 +1,137 @@ +--- +test_name: test_ml_backend_multiple_creation +strict: false +marks: +- usefixtures: + - django_live_url +stages: + - id: signup + type: ref + - name: stage + request: + data: + email: test_ml_backend_creation@test.com + password: 12345678 + title: test_ml_backend_creation + method: POST + url: '{django_live_url}/user/signup' + response: + status_code: 302 + - name: stage + request: + data: + is_published: true + label_config: + title: test_ml_backend_creation + method: POST + url: '{django_live_url}/api/projects' + response: + save: + json: + project_pk: id + status_code: 201 + - name: stage + request: + data: + project: '{project_pk}' + title: My Testing ML backend 1 + url: https://test.heartex.mlbackend.com:9090 + method: POST + url: '{django_live_url}/api/ml' + response: + json: + model_version: '' + state: CO + save: + json: + ml_pk1: id + status_code: 201 + - name: stage + request: + data: + project: '{project_pk}' + title: My Testing ML backend 2 + url: https://test.heartex.mlbackend.com:9090 + method: POST + url: '{django_live_url}/api/ml' + response: + json: + model_version: '' + state: CO + save: + json: + ml_pk2: id + status_code: 201 + - name: stage + request: + method: POST + url: '{django_live_url}/api/ml/{ml_pk1}/train' + response: + status_code: 200 + - name: stage + request: + method: POST + url: '{django_live_url}/api/ml/{ml_pk2}/train' + response: + status_code: 200 + - name: stage + request: + method: GET + url: '{django_live_url}/api/ml/{ml_pk1}' + response: + json: + state: CO + status_code: 200 + - name: stage + request: + method: GET + url: '{django_live_url}/api/ml/{ml_pk2}' + response: + json: + state: CO + status_code: 200 + - name: check versions + request: + method: GET + url: '{django_live_url}/api/ml/{ml_pk1}/versions' + response: + status_code: 200 + - name: check versions + request: + method: GET + url: '{django_live_url}/api/ml/{ml_pk2}/versions' + response: + status_code: 200 + - name: stage + request: + headers: + content-type: application/json + json: + url: https://test.heartex.mlbackend.com:9091 + method: PATCH + url: '{django_live_url}/api/ml/{ml_pk1}' + response: + status_code: 400 + - name: stage + request: + headers: + content-type: application/json + json: + url: https://test.heartex.mlbackend.com:9091 + method: PATCH + url: '{django_live_url}/api/ml/{ml_pk2}' + response: + status_code: 400 + - name: stage + request: + method: DELETE + url: '{django_live_url}/api/ml/{ml_pk1}' + response: + status_code: 204 + - name: stage + request: + method: DELETE + url: '{django_live_url}/api/ml/{ml_pk2}' + response: + status_code: 204 diff --git a/label_studio/tests/ml/test_api.py b/label_studio/tests/ml/test_api.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/ml/test_models.py b/label_studio/tests/ml/test_models.py new file mode 100644 index 000000000000..8b137891791f --- /dev/null +++ b/label_studio/tests/ml/test_models.py @@ -0,0 +1 @@ + diff --git a/label_studio/tests/ml/test_serializers.py b/label_studio/tests/ml/test_serializers.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/next_task.tavern.yml b/label_studio/tests/next_task.tavern.yml index 768c4eb8d708..db2967ad03fd 100644 --- a/label_studio/tests/next_task.tavern.yml +++ b/label_studio/tests/next_task.tavern.yml @@ -80,25 +80,6 @@ stages: - class_A model_version: model_version_A -- name: change_project_model_version - request: - method: PATCH - url: '{django_live_url}/api/projects/{project_pk}' - headers: - content-type: application/json - json: - model_version: model_version_UNEXISTED - -- name: get_next_task - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}/next' - response: - json: - data: - text: Test example phrase - is_labeled: false - - name: change_project_model_version request: method: PATCH @@ -116,31 +97,6 @@ stages: json: data: text: Test example phrase - predictions: - - result: - - from_name: text_class - to_name: text - type: choices - value: - choices: - - class_A - model_version: model_version_A - - result: - - from_name: text_class - to_name: text - type: choices - value: - choices: - - class_B - model_version: model_version_B - - - - - - - - --- @@ -247,4 +203,5 @@ stages: response: status_code: 200 json: - id: !int "{task_id}" \ No newline at end of file + id: !int "{task_id}" + diff --git a/label_studio/tests/predictions.model.tavern.yml b/label_studio/tests/predictions.model.tavern.yml deleted file mode 100644 index df7e59df09f8..000000000000 --- a/label_studio/tests/predictions.model.tavern.yml +++ /dev/null @@ -1,329 +0,0 @@ ---- -test_name: model_change_after_ML_added -strict: false -marks: -- usefixtures: - - django_live_url -stages: -- id: signup - type: ref -- id: create_project - type: ref -- id: create_task - type: ref -- name: check_project_empty_model - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "" -- id: create_prediction - name: create_prediction - request: - json: - result: - - value: - choices: - - Negative - id: qpQHs3Yy4K - from_name: sentiment - to_name: text - type: choices - model_version: 1 - model_version: 'test' - task: '{task_pk}' - method: POST - url: '{django_live_url}/api/predictions' - response: - save: - json: - prediction_pk: id - status_code: 201 -- id: get_prediction_by_id - name: get_prediction_by_id - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - json: - id: !int '{prediction_pk}' - result: - - value: - choices: - - Negative - id: qpQHs3Yy4K - from_name: sentiment - to_name: text - type: choices - model_version: 1 - status_code: 200 -- name: check_project_1_model - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "" -- id: get_prediction_for_task - name: get_prediction_for_task - request: - method: GET - url: '{django_live_url}/api/predictions/?task={task_pk}' - response: - json: - - id: !int '{prediction_pk}' - result: - - value: - choices: - - Negative - id: qpQHs3Yy4K - from_name: sentiment - to_name: text - type: choices - status_code: 200 -- id: update_prediction - name: update_prediction - request: - json: - model_version: '2' - method: PATCH - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - status_code: 200 -- id: get_prediction_by_id_after_update - name: get_prediction_by_id_after_update - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - json: - model_version: '2' - status_code: 200 -- name: check_project_1_model - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "" -- id: delete_prediction - name: delete_prediction - request: - method: DELETE - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - status_code: 204 -- id: prediction_not_found_after_delete - name: prediction_not_found_after_delete - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - status_code: 404 -- name: check_project_model_after_prediction_change - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "" -- name: add_ml_backend - request: - data: - project: '{project_pk}' - title: My Testing ML backend - url: https://test.heartex.mlbackend.com:9090 - method: POST - url: '{django_live_url}/api/ml' -- name: check_project_model_change_after_ml_added_to_empty - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: '' -- name: chaneg_project_model_to_1 - request: - method: PATCH - url: '{django_live_url}/api/projects/{project_pk}' - data: - model_version: "1" - response: - status_code: 200 - json: - model_version: "1" -- name: check_project_model_after_project_change - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "1" - ---- -test_name: model_change_before_ML_added -strict: false -marks: -- usefixtures: - - django_live_url -stages: -- id: signup - type: ref -- id: create_project - type: ref -- id: create_task - type: ref -- name: check_project_empty_model - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "" -- name: chaneg_project_model_to_1 - request: - method: PATCH - url: '{django_live_url}/api/projects/{project_pk}' - data: - model_version: "1" - response: - status_code: 200 - json: - model_version: "1" -- id: create_prediction - name: create_prediction - request: - json: - result: - - value: - choices: - - Negative - id: qpQHs3Yy4K - from_name: sentiment - to_name: text - type: choices - model_version: 1 - model_version: 'test' - task: '{task_pk}' - method: POST - url: '{django_live_url}/api/predictions' - response: - save: - json: - prediction_pk: id - status_code: 201 -- id: get_prediction_by_id - name: get_prediction_by_id - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - json: - id: !int '{prediction_pk}' - result: - - value: - choices: - - Negative - id: qpQHs3Yy4K - from_name: sentiment - to_name: text - type: choices - model_version: 1 - status_code: 200 -- name: check_project_1_model - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "1" -- id: get_prediction_for_task - name: get_prediction_for_task - request: - method: GET - url: '{django_live_url}/api/predictions/?task={task_pk}' - response: - json: - - id: !int '{prediction_pk}' - result: - - value: - choices: - - Negative - id: qpQHs3Yy4K - from_name: sentiment - to_name: text - type: choices - status_code: 200 -- id: update_prediction - name: update_prediction - request: - json: - model_version: '2' - method: PATCH - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - status_code: 200 -- id: get_prediction_by_id_after_update - name: get_prediction_by_id_after_update - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - json: - model_version: '2' - status_code: 200 -- name: check_project_1_model - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "1" -- id: delete_prediction - name: delete_prediction - request: - method: DELETE - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - status_code: 204 -- id: prediction_not_found_after_delete - name: prediction_not_found_after_delete - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - status_code: 404 -- name: check_project_model_after_prediction_change - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: "1" -- name: add_ml_backend - request: - data: - project: '{project_pk}' - title: My Testing ML backend - url: https://test.heartex.mlbackend.com:9090 - method: POST - url: '{django_live_url}/api/ml' -- name: check_project_model_not_change_after_ml_added_to_empty - request: - method: GET - url: '{django_live_url}/api/projects/{project_pk}' - response: - status_code: 200 - json: - model_version: '1' diff --git a/label_studio/tests/predictions/__init__.py b/label_studio/tests/predictions/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/predictions/tavern/change_model_version_to_non_existent.tavern.yml b/label_studio/tests/predictions/tavern/change_model_version_to_non_existent.tavern.yml new file mode 100644 index 000000000000..a494911b9af8 --- /dev/null +++ b/label_studio/tests/predictions/tavern/change_model_version_to_non_existent.tavern.yml @@ -0,0 +1,59 @@ +--- +test_name: change_project_model_version_to_non_existent +strict: false +marks: +- usefixtures: + - django_live_url +stages: +- id: signup + type: ref +- id: create_project + type: ref +- id: create_task + type: ref +- name: change_project_model_to_non_existent + request: + method: PATCH + url: '{django_live_url}/api/projects/{project_pk}' + data: + model_version: "test" + response: + status_code: 400 +- id: create_prediction + name: create_prediction + request: + json: + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + model_version: "test" + model_version: "test" + task: '{task_pk}' + method: POST + url: '{django_live_url}/api/predictions' + response: + save: + json: + prediction_pk: id + status_code: 201 +- name: change_project_model_to_existent + request: + method: PATCH + url: '{django_live_url}/api/projects/{project_pk}' + data: + model_version: "test" + response: + status_code: 200 +- name: change_project_model_to_null + request: + method: PATCH + url: '{django_live_url}/api/projects/{project_pk}' + data: + model_version: null + response: + status_code: 200 diff --git a/label_studio/tests/predictions/tavern/create_prediction_minified_format.tavern.yml b/label_studio/tests/predictions/tavern/create_prediction_minified_format.tavern.yml new file mode 100644 index 000000000000..ce5cfd622bc1 --- /dev/null +++ b/label_studio/tests/predictions/tavern/create_prediction_minified_format.tavern.yml @@ -0,0 +1,46 @@ +--- +test_name: create_prediction_minified_format +strict: false +marks: +- usefixtures: + - django_live_url +stages: +- id: signup + type: ref +- id: create_project + type: ref +- id: create_task + type: ref +- id: create_prediction + name: create_prediction + request: + json: + result: Negative + score: 0.987 + model_version: test_model + task: '{task_pk}' + method: POST + url: '{django_live_url}/api/predictions' + response: + save: + json: + prediction_pk: id + status_code: 201 +- id: get_prediction_by_id + name: get_prediction_by_id + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + json: + id: !int '{prediction_pk}' + result: + - value: + choices: + - Negative + from_name: label + to_name: text + type: choices + score: 0.987 + model_version: test_model + status_code: 200 diff --git a/label_studio/tests/predictions.tavern.yml b/label_studio/tests/predictions/tavern/crud.tavern.yml similarity index 70% rename from label_studio/tests/predictions.tavern.yml rename to label_studio/tests/predictions/tavern/crud.tavern.yml index 574f58ef153a..8aa0c2bfce93 100644 --- a/label_studio/tests/predictions.tavern.yml +++ b/label_studio/tests/predictions/tavern/crud.tavern.yml @@ -99,51 +99,3 @@ stages: url: '{django_live_url}/api/predictions/{prediction_pk}/' response: status_code: 404 - - ---- -test_name: create_prediction_minified_format -strict: false -marks: -- usefixtures: - - django_live_url -stages: -- id: signup - type: ref -- id: create_project - type: ref -- id: create_task - type: ref -- id: create_prediction - name: create_prediction - request: - json: - result: Negative - score: 0.987 - model_version: test_model - task: '{task_pk}' - method: POST - url: '{django_live_url}/api/predictions' - response: - save: - json: - prediction_pk: id - status_code: 201 -- id: get_prediction_by_id - name: get_prediction_by_id - request: - method: GET - url: '{django_live_url}/api/predictions/{prediction_pk}/' - response: - json: - id: !int '{prediction_pk}' - result: - - value: - choices: - - Negative - from_name: label - to_name: text - type: choices - score: 0.987 - model_version: test_model - status_code: 200 \ No newline at end of file diff --git a/label_studio/tests/predictions/tavern/model_change_after_ml_added.tavern.yml b/label_studio/tests/predictions/tavern/model_change_after_ml_added.tavern.yml new file mode 100644 index 000000000000..f16bc98b70ca --- /dev/null +++ b/label_studio/tests/predictions/tavern/model_change_after_ml_added.tavern.yml @@ -0,0 +1,168 @@ +--- +test_name: model_change_after_ML_added +strict: false +marks: +- usefixtures: + - django_live_url +stages: +- id: signup + type: ref +- id: create_project + type: ref +- id: create_task + type: ref +- name: check_project_model_empty_1 + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- id: create_prediction + name: create_prediction + request: + json: + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + model_version: 1 + model_version: 'test' + task: '{task_pk}' + method: POST + url: '{django_live_url}/api/predictions' + response: + save: + json: + prediction_pk: id + status_code: 201 +- id: get_prediction_by_id + name: get_prediction_by_id + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + json: + id: !int '{prediction_pk}' + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + model_version: 1 + status_code: 200 +- name: check_project_model_empty_1 + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- id: get_prediction_for_task + name: get_prediction_for_task + request: + method: GET + url: '{django_live_url}/api/predictions/?task={task_pk}' + response: + json: + - id: !int '{prediction_pk}' + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + status_code: 200 +- id: update_prediction + name: update_prediction + request: + json: + model_version: '2' + method: PATCH + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + status_code: 200 +- id: get_prediction_by_id_after_update + name: get_prediction_by_id_after_update + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + json: + model_version: '2' + status_code: 200 +- name: check_project_model_empty_2 + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- id: delete_prediction + name: delete_prediction + request: + method: DELETE + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + status_code: 204 +- id: prediction_not_found_after_delete + name: prediction_not_found_after_delete + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + status_code: 404 +- name: check_project_model_after_prediction_change + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- name: add_ml_backend + request: + data: + project: '{project_pk}' + title: My Testing ML backend + url: https://test.heartex.mlbackend.com:9090 + method: POST + url: '{django_live_url}/api/ml' +- name: check_project_model_change_after_ml_added_to_empty + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: '' +- name: change_project_model_to_ml_backend + request: + method: PATCH + url: '{django_live_url}/api/projects/{project_pk}' + data: + model_version: "My Testing ML backend" + response: + status_code: 200 + json: + model_version: "My Testing ML backend" +- name: check_project_model_after_project_change + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "My Testing ML backend" diff --git a/label_studio/tests/predictions/tavern/model_change_before_ml_added.tavern.yml b/label_studio/tests/predictions/tavern/model_change_before_ml_added.tavern.yml new file mode 100644 index 000000000000..d71e7f1a709d --- /dev/null +++ b/label_studio/tests/predictions/tavern/model_change_before_ml_added.tavern.yml @@ -0,0 +1,150 @@ +--- +test_name: model_change_before_ML_added +strict: false +marks: +- usefixtures: + - django_live_url +stages: +- id: signup + type: ref +- id: create_project + type: ref +- id: create_task + type: ref +- name: check_project_empty_model + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- id: create_prediction + name: create_prediction + request: + json: + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + model_version: 1 + model_version: 'test' + task: '{task_pk}' + method: POST + url: '{django_live_url}/api/predictions' + response: + save: + json: + prediction_pk: id + status_code: 201 +- id: get_prediction_by_id + name: get_prediction_by_id + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + json: + id: !int '{prediction_pk}' + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + model_version: 1 + status_code: 200 +- name: check_project_1_model + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- id: get_prediction_for_task + name: get_prediction_for_task + request: + method: GET + url: '{django_live_url}/api/predictions/?task={task_pk}' + response: + json: + - id: !int '{prediction_pk}' + result: + - value: + choices: + - Negative + id: qpQHs3Yy4K + from_name: sentiment + to_name: text + type: choices + status_code: 200 +- id: update_prediction + name: update_prediction + request: + json: + model_version: '2' + method: PATCH + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + status_code: 200 +- id: get_prediction_by_id_after_update + name: get_prediction_by_id_after_update + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + json: + model_version: '2' + status_code: 200 +- name: check_project_1_model + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- id: delete_prediction + name: delete_prediction + request: + method: DELETE + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + status_code: 204 +- id: prediction_not_found_after_delete + name: prediction_not_found_after_delete + request: + method: GET + url: '{django_live_url}/api/predictions/{prediction_pk}/' + response: + status_code: 404 +- name: check_project_model_after_prediction_change + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" +- name: add_ml_backend + request: + data: + project: '{project_pk}' + title: My Testing ML backend + url: https://test.heartex.mlbackend.com:9090 + method: POST + url: '{django_live_url}/api/ml' +- name: check_project_model_not_change_after_ml_added_to_empty + request: + method: GET + url: '{django_live_url}/api/projects/{project_pk}' + response: + status_code: 200 + json: + model_version: "" diff --git a/label_studio/tests/predictions/test_api.py b/label_studio/tests/predictions/test_api.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/predictions/test_models.py b/label_studio/tests/predictions/test_models.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/test_predictions.py b/label_studio/tests/predictions/test_predictions.py similarity index 99% rename from label_studio/tests/test_predictions.py rename to label_studio/tests/predictions/test_predictions.py index b809edfbcc37..a6d84b13b277 100644 --- a/label_studio/tests/test_predictions.py +++ b/label_studio/tests/predictions/test_predictions.py @@ -10,7 +10,7 @@ from tasks.models import Annotation, AnnotationDraft, Prediction, Task from users.models import User -from .utils import make_project +from label_studio.tests.utils import make_project _project_for_text_choices_onto_A_B_classes = dict( title='Test', @@ -769,6 +769,8 @@ def test_interactive_annotating_failing(business_client, configured_project): result = r.json() + print(result) + assert 'errors' in result diff --git a/label_studio/tests/predictions/test_serializers.py b/label_studio/tests/predictions/test_serializers.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/label_studio/tests/test_api.py b/label_studio/tests/test_api.py index 878370e87e60..296417e0172e 100644 --- a/label_studio/tests/test_api.py +++ b/label_studio/tests/test_api.py @@ -169,6 +169,7 @@ def test_creating_activating_new_ml_backend( my_url = current_active_ml_backend_url m.post(f'{my_url}/setup', text=json.dumps({'model_version': 'Version from My Super AI'})) m.get(f'{my_url}/health', text=json.dumps({'status': 'UP'})) + r = business_client.post( '/api/ml', data=json.dumps({'project': configured_project.id, 'title': 'My Super AI', 'url': my_url}), diff --git a/poetry.lock b/poetry.lock index 20d84340690b..5a8137327ec6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. 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"cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] [[package]] name = "azure-core" -version = "1.29.5" +version = "1.30.1" description = "Microsoft Azure Core Library for Python" optional = false python-versions = ">=3.7" files = [ - {file = "azure-core-1.29.5.tar.gz", hash = "sha256:52983c89d394c6f881a121e5101c5fa67278ca3b1f339c8fb2ef39230c70e9ac"}, - {file = "azure_core-1.29.5-py3-none-any.whl", hash = "sha256:0fa04b7b1f7d44a4fb8468c4093deb2ea01fdf4faddbf802ed9205615f99d68c"}, + {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"}, + {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"}, ] [package.dependencies] -requests = ">=2.18.4" +requests = ">=2.21.0" six = ">=1.11.0" typing-extensions = ">=4.6.0" @@ -100,13 +101,13 @@ aio = ["aiohttp (>=3.0)"] [[package]] name = "azure-storage-blob" -version = "12.19.0" 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4725b3eb01a3..d066e2845a67 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -218,7 +218,7 @@ pre-commit = "3.3.3" s3transfer = "0.7.0" mock = ">=5.1.0" moto = ">=4.2.6" -label-studio-sdk = { url = "https://github.com/HumanSignal/label-studio-sdk/archive/b74e2d693f203bfb16c8919fd9670ec8e2c5f8ea.zip" } +label-studio-sdk = { url = "https://github.com/HumanSignal/label-studio-sdk/archive/e47bf50627d9a8287fc08996d30c404cb3aac407.zip" } [tool.poetry.group.build.dependencies] twine = ">=4.0.2" diff --git a/web/apps/labelstudio/src/assets/icons/empty-predictions.svg b/web/apps/labelstudio/src/assets/icons/empty-predictions.svg new file mode 100644 index 000000000000..2361e79ec3d4 --- /dev/null +++ b/web/apps/labelstudio/src/assets/icons/empty-predictions.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/web/apps/labelstudio/src/assets/icons/index.js b/web/apps/labelstudio/src/assets/icons/index.js index 1d81a7a0d0ef..bf5102b804f6 100644 --- a/web/apps/labelstudio/src/assets/icons/index.js +++ b/web/apps/labelstudio/src/assets/icons/index.js @@ -26,5 +26,8 @@ export { ReactComponent as LsThumbsUp } from './thumbs-up.svg'; export { ReactComponent as IconUpload } from './upload.svg'; export { ReactComponent as LsPencil } from './pencil.svg'; export { ReactComponent as IconInfoOutline } from './info-outline.svg'; +export { ReactComponent as IconSparkGrey } from './spark-grey.svg'; +export { ReactComponent as IconPredictions } from './predictions.svg'; +export { ReactComponent as IconEmptyPredictions } from './empty-predictions.svg'; export { ReactComponent as IconSpark } from './spark.svg'; -export { ReactComponent as IconModel } from './model.svg'; +export { ReactComponent as IconModel } from './model.svg'; \ No newline at end of file diff --git a/web/apps/labelstudio/src/assets/icons/predictions.svg b/web/apps/labelstudio/src/assets/icons/predictions.svg new file mode 100644 index 000000000000..31c74c307f8f --- /dev/null +++ b/web/apps/labelstudio/src/assets/icons/predictions.svg @@ -0,0 +1,4 @@ + + + + diff --git a/web/apps/labelstudio/src/assets/icons/spark-grey.svg b/web/apps/labelstudio/src/assets/icons/spark-grey.svg new file mode 100644 index 000000000000..b5a5f5210168 --- /dev/null +++ b/web/apps/labelstudio/src/assets/icons/spark-grey.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/web/apps/labelstudio/src/components/EmptyState/EmptyState.js b/web/apps/labelstudio/src/components/EmptyState/EmptyState.js new file mode 100644 index 000000000000..4c790531ea93 --- /dev/null +++ b/web/apps/labelstudio/src/components/EmptyState/EmptyState.js @@ -0,0 +1,14 @@ +import { Block, Elem } from '../../utils/bem'; +import './EmptyState.styl'; + +export const EmptyState = ({ icon, title, description, action, footer }) => { + return ( + + {icon && {icon}} + {title && {title}} + {description && {description}} + {action && {action}} + {footer && {footer}} + + ); +}; diff --git a/web/apps/labelstudio/src/components/EmptyState/EmptyState.styl b/web/apps/labelstudio/src/components/EmptyState/EmptyState.styl new file mode 100644 index 000000000000..5c32add055a5 --- /dev/null +++ b/web/apps/labelstudio/src/components/EmptyState/EmptyState.styl @@ -0,0 +1,37 @@ +.empty-state-default + maxWidth: 680px + background #FAFAFA + border 1px solid rgba(137, 128, 152, 0.16) + padding 40px 25px + font: 16px Roboto; + border-radius 8px + display: flex + flex-direction: column + justify-content: center + align-items: center + + &__icon + margin-bottom: 10px + + &__action + margin-bottom: 25px + + &__title + font-size: 22px; + font-weight: meidum; + color: #000 + margin-bottom: 20px + + &__description + font-size: 1rem + color: #1f1f1f + margin-bottom: 20px + text-align: center + + &__footer + font-size: .75rem + color: #434343 + text-align: center + + &__footer a + color #176CEB \ No newline at end of file diff --git a/web/apps/labelstudio/src/components/Form/Elements/Select/Select.js b/web/apps/labelstudio/src/components/Form/Elements/Select/Select.js index 9dfe10ee42a0..c0a09e59fbae 100644 --- a/web/apps/labelstudio/src/components/Form/Elements/Select/Select.js +++ b/web/apps/labelstudio/src/components/Form/Elements/Select/Select.js @@ -4,11 +4,53 @@ import { FormField } from '../../FormField'; import { default as Label } from '../Label/Label'; import './Select.styl'; -const Select = ({ label, className, options, validate, required, skip, labelProps, ghost, ...props }) => { +const SelectOption = ({ + value, + label, + disabled = false, + hidden = false, + ...props +}) => { + return ( + + ); +}; + +const Select = ({ + label, + className, + options, + validate, + required, + skip, + labelProps, + groupProps, + ghost, + ...props +}) => { const rootClass = cn('select'); - const initialValue = useMemo(() => props.value ?? "", [props.value]); + const initialValue = useMemo(() => props.value ?? '', [props.value]); const [value, setValue] = useState(initialValue); + let grouped = options.reduce((groupedOptions, option) => { + const key = option.group || 'NoGroup'; // fallback group for items without a group property + + (groupedOptions[key] = groupedOptions[key] || []).push(option); + return groupedOptions; + }, {}); + + const renderOptions = (option) => { + return ( + + ); + }; + const classList = rootClass.mod({ ghost }).mix(className); useEffect(() => { @@ -22,36 +64,35 @@ const Select = ({ label, className, options, validate, required, skip, labelProp validate={validate} required={required} skip={skip} - setValue={val => setValue(val)} + setValue={(val) => setValue(val)} {...props} > - {ref => { + {(ref) => { return (
@@ -61,7 +102,13 @@ const Select = ({ label, className, options, validate, required, skip, labelProp ); - return label ? : selectWrapper; + return label ? ( + + ) : ( + selectWrapper + ); }; export default Select; diff --git a/web/apps/labelstudio/src/components/Form/Elements/ToggleRight/ToggleRight.js b/web/apps/labelstudio/src/components/Form/Elements/ToggleRight/ToggleRight.js new file mode 100644 index 000000000000..d0c6789d361c --- /dev/null +++ b/web/apps/labelstudio/src/components/Form/Elements/ToggleRight/ToggleRight.js @@ -0,0 +1,68 @@ +import React, { forwardRef, useEffect, useMemo } from 'react'; +import { cn } from '../../../../utils/bem'; +import { FormField } from '../../FormField'; +import { useValueTracker } from '../../Utils'; +import { default as Label } from '../Label/Label'; +import './ToggleRight.styl'; + +const ToggleRight = forwardRef(({ className, label, labelProps, description, checked, defaultChecked, onChange, validate, required, skip, ...props }, ref) => { + const rootClass = cn('toggle-right'); + const initialChecked = useMemo(() => defaultChecked ?? checked ?? false, [defaultChecked, checked]); + const [isChecked, setIsChecked] = useValueTracker(checked, defaultChecked ?? false); + + const classList = [rootClass]; + const mods = {}; + + useEffect(() => { + setIsChecked(initialChecked); + }, [initialChecked]); + + if (isChecked) mods.checked = isChecked; + mods.disabled = props.disabled; + + classList.push(rootClass.mod(mods), className); + + const formField = ( + setIsChecked(value)} + {...props} + > + {ref => ( +
+ { + setIsChecked(e.target.checked); + onChange?.(e); + }} + /> + +
+ )} +
+ ); + + return label ? ( +