[PLT-1154] Vb/refactor project inputs plt 1154

libs/labelbox/src/labelbox/project_validation.py

@@ -0,0 +1,87 @@
+from typing import Optional, Set
+
+from pydantic import BaseModel, ConfigDict, Field, model_validator
+from typing_extensions import Annotated
+
+from labelbox.schema.media_type import MediaType
+from labelbox.schema.ontology_kind import EditorTaskType
+from labelbox.schema.quality_mode import (
+    BENCHMARK_AUTO_AUDIT_NUMBER_OF_LABELS,
+    BENCHMARK_AUTO_AUDIT_PERCENTAGE,
+    CONSENSUS_AUTO_AUDIT_NUMBER_OF_LABELS,
+    CONSENSUS_AUTO_AUDIT_PERCENTAGE,
+    QualityMode,
+)
+from labelbox.schema.queue_mode import QueueMode
+
+PositiveInt = Annotated[int, Field(gt=0)]
+
+
+class _CoreProjectInput(BaseModel):
+    name: str
+    description: Optional[str] = None
+    media_type: MediaType
+    queue_mode: QueueMode = Field(default=QueueMode.Batch, frozen=True)
+    auto_audit_percentage: Optional[float] = None
+    auto_audit_number_of_labels: Optional[int] = None
+    quality_modes: Optional[Set[QualityMode]] = Field(
+        default={QualityMode.Benchmark, QualityMode.Consensus}, exclude=True
+    )
+    is_benchmark_enabled: Optional[bool] = None
+    is_consensus_enabled: Optional[bool] = None
+    dataset_name_or_id: Optional[str] = None
+    append_to_existing_dataset: Optional[bool] = None
+    data_row_count: Optional[PositiveInt] = None
+    editor_task_type: Optional[EditorTaskType] = None
+
+    model_config = ConfigDict(extra="forbid")
+
+    @model_validator(mode="after")
+    def validate_fields(self):
+        if (
+            self.auto_audit_percentage is not None
+            or self.auto_audit_number_of_labels is not None
+        ):
+            raise ValueError(
+                "quality_modes must be set instead of auto_audit_percentage or auto_audit_number_of_labels."
+            )
+
+        if not self.name.strip():
+            raise ValueError("project name must be a valid string.")
+
+        if self.quality_modes == {
+            QualityMode.Benchmark,
+            QualityMode.Consensus,
+        }:
+            self._set_quality_mode_attributes(
+                CONSENSUS_AUTO_AUDIT_NUMBER_OF_LABELS,
+                CONSENSUS_AUTO_AUDIT_PERCENTAGE,
+                is_benchmark_enabled=True,
+                is_consensus_enabled=True,
+            )
+        elif self.quality_modes == {QualityMode.Benchmark}:
+            self._set_quality_mode_attributes(
+                BENCHMARK_AUTO_AUDIT_NUMBER_OF_LABELS,
+                BENCHMARK_AUTO_AUDIT_PERCENTAGE,
+                is_benchmark_enabled=True,
+            )
+        elif self.quality_modes == {QualityMode.Consensus}:
+            self._set_quality_mode_attributes(
+                number_of_labels=CONSENSUS_AUTO_AUDIT_NUMBER_OF_LABELS,
+                percentage=CONSENSUS_AUTO_AUDIT_PERCENTAGE,
+                is_consensus_enabled=True,
+            )
+
+        return self
+
+    def _set_quality_mode_attributes(
+        self,
+        number_of_labels,
+        percentage,
+        is_benchmark_enabled=False,
+        is_consensus_enabled=False,
+    ):
+        self.auto_audit_number_of_labels = number_of_labels
+        self.auto_audit_percentage = percentage
+        self.is_benchmark_enabled = is_benchmark_enabled
+        self.is_consensus_enabled = is_consensus_enabled

libs/labelbox/src/labelbox/schema/ontology_kind.py

@@ -53,7 +53,7 @@ def evaluate_ontology_kind_with_media_type(
         return media_type
 
 
-class EditorTaskType(Enum):
+class EditorTaskType(str, Enum):
     ModelChatEvaluation = "MODEL_CHAT_EVALUATION"
     ResponseCreation = "RESPONSE_CREATION"
     OfflineModelChatEvaluation = "OFFLINE_MODEL_CHAT_EVALUATION"

libs/labelbox/tests/conftest.py

@@ -32,7 +32,6 @@
 from labelbox.schema.ontology import Ontology
 from labelbox.schema.project import Project
 from labelbox.schema.quality_mode import QualityMode
-from labelbox.schema.queue_mode import QueueMode
 
 IMG_URL = "https://picsum.photos/200/300.jpg"
 MASKABLE_IMG_URL = "https://storage.googleapis.com/labelbox-datasets/image_sample_data/2560px-Kitano_Street_Kobe01s5s4110.jpeg"
@@ -444,7 +443,6 @@ def conversation_entity_data_row(client, rand_gen):
 def project(client, rand_gen):
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
         media_type=MediaType.Image,
     )
     yield project
@@ -455,8 +453,7 @@ def project(client, rand_gen):
 def consensus_project(client, rand_gen):
     project = client.create_project(
         name=rand_gen(str),
-        quality_mode=QualityMode.Consensus,
-        queue_mode=QueueMode.Batch,
+        quality_modes={QualityMode.Consensus},
         media_type=MediaType.Image,
     )
     yield project
@@ -646,7 +643,6 @@ def configured_project_with_label(
     """
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
         media_type=MediaType.Image,
     )
     project._wait_until_data_rows_are_processed(
@@ -749,7 +745,6 @@ def configured_batch_project_with_label(
     """
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
         media_type=MediaType.Image,
     )
     data_rows = [dr.uid for dr in list(dataset.data_rows())]
@@ -784,7 +779,6 @@ def configured_batch_project_with_multiple_datarows(
     """
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
         media_type=MediaType.Image,
     )
     global_keys = [dr.global_key for dr in data_rows]
@@ -1065,7 +1059,6 @@ def configured_project_with_complex_ontology(
 ):
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
         media_type=MediaType.Image,
     )
     dataset = initial_dataset

libs/labelbox/tests/data/export/conftest.py

@@ -1,9 +1,11 @@
-import uuid
 import time
+import uuid
+
 import pytest
-from labelbox.schema.queue_mode import QueueMode
+
+from labelbox.schema.annotation_import import AnnotationImportState, LabelImport
 from labelbox.schema.labeling_frontend import LabelingFrontend
-from labelbox.schema.annotation_import import LabelImport, AnnotationImportState
+from labelbox.schema.media_type import MediaType
 
 
 @pytest.fixture
@@ -246,7 +248,7 @@ def configured_project_with_ontology(
     dataset = initial_dataset
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
+        media_type=MediaType.Image,
     )
     editor = list(
         client.get_labeling_frontends(where=LabelingFrontend.name == "editor")
@@ -273,7 +275,24 @@ def configured_project_without_data_rows(
     project = client.create_project(
         name=rand_gen(str),
         description=rand_gen(str),
-        queue_mode=QueueMode.Batch,
+        media_type=MediaType.Image,
+    )
+    editor = list(
+        client.get_labeling_frontends(where=LabelingFrontend.name == "editor")
+    )[0]
+    project.setup(editor, ontology)
+    yield project
+    teardown_helpers.teardown_project_labels_ontology_feature_schemas(project)
+
+
+@pytest.fixture
+def configured_video_project_without_data_rows(
+    client, ontology, rand_gen, teardown_helpers
+):
+    project = client.create_project(
+        name=rand_gen(str),
+        description=rand_gen(str),
+        media_type=MediaType.Video,
     )
     editor = list(
         client.get_labeling_frontends(where=LabelingFrontend.name == "editor")

libs/labelbox/tests/data/export/streamable/test_export_video_streamable.py

@@ -21,13 +21,13 @@ def org_id(self, client):
     def test_export(
         self,
         client,
-        configured_project_without_data_rows,
+        configured_video_project_without_data_rows,
         video_data,
         video_data_row,
         bbox_video_annotation_objects,
         rand_gen,
     ):
-        project = configured_project_without_data_rows
+        project = configured_video_project_without_data_rows
         project_id = project.uid
         labels = []
 

libs/labelbox/tests/integration/conftest.py

@@ -1,42 +1,40 @@
-from collections import defaultdict
-from itertools import islice
 import json
 import os
-import sys
 import re
+import sys
 import time
 import uuid
-import requests
-from types import SimpleNamespace
-from typing import Type, List
+from collections import defaultdict
 from enum import Enum
-from typing import Tuple
+from itertools import islice
+from types import SimpleNamespace
+from typing import List, Tuple, Type
 
 import pytest
 import requests
 
-from labelbox import Dataset, DataRow
-from labelbox import LabelingFrontend
 from labelbox import (
-    OntologyBuilder,
-    Tool,
-    Option,
     Classification,
+    Client,
+    DataRow,
+    Dataset,
+    LabelingFrontend,
     MediaType,
+    OntologyBuilder,
+    Option,
     PromptResponseClassification,
     ResponseOption,
+    Tool,
 )
 from labelbox.orm import query
 from labelbox.pagination import PaginatedCollection
 from labelbox.schema.annotation_import import LabelImport
 from labelbox.schema.catalog import Catalog
 from labelbox.schema.enums import AnnotationImportState
 from labelbox.schema.invite import Invite
+from labelbox.schema.ontology_kind import OntologyKind
 from labelbox.schema.quality_mode import QualityMode
-from labelbox.schema.queue_mode import QueueMode
 from labelbox.schema.user import User
-from labelbox import Client
-from labelbox.schema.ontology_kind import OntologyKind
 
 
 @pytest.fixture
@@ -69,7 +67,6 @@ def project_pack(client):
     projects = [
         client.create_project(
             name=f"user-proj-{idx}",
-            queue_mode=QueueMode.Batch,
             media_type=MediaType.Image,
         )
         for idx in range(2)
@@ -117,7 +114,6 @@ def configured_project_with_complex_ontology(
 ):
     project = client.create_project(
         name=rand_gen(str),
-        queue_mode=QueueMode.Batch,
         media_type=MediaType.Image,
     )
     dataset = initial_dataset

libs/labelbox/tests/integration/test_client_errors.py

@@ -8,6 +8,7 @@
 
 import labelbox.client
 from labelbox import Project, User
+from labelbox.schema.media_type import MediaType
 
 
 def test_missing_api_key():
@@ -29,7 +30,7 @@ def test_bad_key(rand_gen):
     client = labelbox.client.Client(api_key=bad_key)
 
     with pytest.raises(lbox.exceptions.AuthenticationError) as excinfo:
-        client.create_project(name=rand_gen(str))
+        client.create_project(name=rand_gen(str), media_type=MediaType.Image)
 
 
 def test_syntax_error(client):
@@ -77,31 +78,7 @@ def test_network_error(client):
     )
 
     with pytest.raises(lbox.exceptions.NetworkError) as excinfo:
-        client.create_project(name="Project name")
-
-
-def test_invalid_attribute_error(
-    client,
-    rand_gen,
-):
-    # Creation
-    with pytest.raises(lbox.exceptions.InvalidAttributeError) as excinfo:
-        client.create_project(name="Name", invalid_field="Whatever")
-    assert excinfo.value.db_object_type == Project
-    assert excinfo.value.field == "invalid_field"
-
-    # Update
-    project = client.create_project(name=rand_gen(str))
-    with pytest.raises(lbox.exceptions.InvalidAttributeError) as excinfo:
-        project.update(invalid_field="Whatever")
-    assert excinfo.value.db_object_type == Project
-    assert excinfo.value.field == "invalid_field"
-
-    # Top-level-fetch
-    with pytest.raises(lbox.exceptions.InvalidAttributeError) as excinfo:
-        client.get_projects(where=User.email == "email")
-    assert excinfo.value.db_object_type == Project
-    assert excinfo.value.field == {User.email}
+        client.create_project(name="Project name", media_type=MediaType.Image)
 
 
 @pytest.mark.skip("timeouts cause failure before rate limit")

libs/labelbox/tests/integration/test_filtering.py

@@ -2,7 +2,7 @@
 from lbox.exceptions import InvalidQueryError
 
 from labelbox import Project
-from labelbox.schema.queue_mode import QueueMode
+from labelbox.schema.media_type import MediaType
 
 
 @pytest.fixture
@@ -11,9 +11,9 @@ def project_to_test_where(client, rand_gen):
     p_b_name = f"b-{rand_gen(str)}"
     p_c_name = f"c-{rand_gen(str)}"
 
-    p_a = client.create_project(name=p_a_name, queue_mode=QueueMode.Batch)
-    p_b = client.create_project(name=p_b_name, queue_mode=QueueMode.Batch)
-    p_c = client.create_project(name=p_c_name, queue_mode=QueueMode.Batch)
+    p_a = client.create_project(name=p_a_name, media_type=MediaType.Image)
+    p_b = client.create_project(name=p_b_name, media_type=MediaType.Image)
+    p_c = client.create_project(name=p_c_name, media_type=MediaType.Image)
 
     yield p_a, p_b, p_c