[PLT-1490] Removed project.setup

libs/labelbox/src/labelbox/schema/ontology.py

@@ -562,14 +562,18 @@ class OntologyBuilder:
     There are no required instantiation arguments.
 
     To create an ontology, use the asdict() method after fully building your
-    ontology within this class, and inserting it into project.setup() as the
-    "labeling_frontend_options" parameter.
+    ontology within this class, and inserting it into client.create_ontology() as the
+    "normalized" parameter.
 
     Example:
-        builder = OntologyBuilder()
-        ...
-        frontend = list(client.get_labeling_frontends())[0]
-        project.setup(frontend, builder.asdict())
+        >>> builder = OntologyBuilder()
+        >>> ...
+        >>> ontology = client.create_ontology(
+        >>>    "Ontology from new features",
+        >>>    ontology_builder.asdict(),
+        >>>    media_type=lb.MediaType.Image,
+        >>> )
+        >>> project.connect_ontology(ontology)
 
     attributes:
         tools: (list)

libs/labelbox/src/labelbox/schema/project.py

@@ -684,34 +684,6 @@ def connect_ontology(self, ontology) -> None:
         timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
         self.update(setup_complete=timestamp)
 
-    def setup(self, labeling_frontend, labeling_frontend_options) -> None:
-        """This method will associate default labeling frontend with the project and create an ontology based on labeling_frontend_options.
-
-        Args:
-            labeling_frontend (LabelingFrontend): Do not use, this parameter is deprecated. We now associate the default labeling frontend with the project.
-            labeling_frontend_options (dict or str): Labeling frontend options,
-                a.k.a. project ontology. If given a `dict` it will be converted
-                to `str` using `json.dumps`.
-        """
-
-        warnings.warn("This method is deprecated use connect_ontology instead.")
-        if labeling_frontend is not None:
-            warnings.warn(
-                "labeling_frontend parameter will not be used to create a new labeling frontend."
-            )
-
-        if self.is_chat_evaluation() or self.is_prompt_response():
-            warnings.warn("""
-            This project is a live chat evaluation project or prompt and response generation project.
-            Editor was setup automatically.
-            """)
-            return
-
-        self._connect_default_labeling_front_end(labeling_frontend_options)
-
-        timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
-        self.update(setup_complete=timestamp)
-
     def _connect_default_labeling_front_end(self, ontology_as_dict: dict):
         labeling_frontend = self.labeling_frontend()
         if (

libs/labelbox/tests/conftest.py

@@ -656,7 +656,7 @@ def configured_project_with_label(
         [data_row.uid],  # sample of data row objects
         5,  # priority between 1(Highest) - 5(lowest)
     )
-    ontology = _setup_ontology(project)
+    ontology = _setup_ontology(project, client)
     label = _create_label(
         project, data_row, ontology, wait_for_label_processing
     )
@@ -699,20 +699,19 @@ def create_label():
     return label
 
 
-def _setup_ontology(project):
-    editor = list(
-        project.client.get_labeling_frontends(
-            where=LabelingFrontend.name == "editor"
-        )
-    )[0]
+def _setup_ontology(project: Project, client: Client):
     ontology_builder = OntologyBuilder(
         tools=[
             Tool(tool=Tool.Type.BBOX, name="test-bbox-class"),
         ]
     )
-    project.setup(editor, ontology_builder.asdict())
-    # TODO: ontology may not be synchronous after setup. remove sleep when api is more consistent
-    time.sleep(2)
+    ontology = client.create_ontology(
+        name="ontology with features",
+        media_type=MediaType.Image,
+        normalized=ontology_builder.asdict(),
+    )
+    project.connect_ontology(ontology)
+
     return OntologyBuilder.from_project(project)
 
 
@@ -754,7 +753,7 @@ def configured_batch_project_with_label(
     project.create_batch("test-batch", data_rows)
     project.data_row_ids = data_rows
 
-    ontology = _setup_ontology(project)
+    ontology = _setup_ontology(project, client)
     label = _create_label(
         project, data_row, ontology, wait_for_label_processing
     )
@@ -786,7 +785,7 @@ def configured_batch_project_with_multiple_datarows(
     batch_name = f"batch {uuid.uuid4()}"
     project.create_batch(batch_name, global_keys=global_keys)
 
-    ontology = _setup_ontology(project)
+    ontology = _setup_ontology(project, client)
     for datarow in data_rows:
         _create_label(project, datarow, ontology, wait_for_label_processing)
 
@@ -1023,11 +1022,11 @@ def _upload_invalid_data_rows_for_dataset(dataset: Dataset):
 
 @pytest.fixture
 def configured_project(
-    project_with_empty_ontology, initial_dataset, rand_gen, image_url
+    project_with_one_feature_ontology, initial_dataset, rand_gen, image_url
 ):
     dataset = initial_dataset
     data_row_id = dataset.create_data_row(row_data=image_url).uid
-    project = project_with_empty_ontology
+    project = project_with_one_feature_ontology
 
     batch = project.create_batch(
         rand_gen(str),
@@ -1042,20 +1041,21 @@ def configured_project(
 
 
 @pytest.fixture
-def project_with_empty_ontology(project):
-    editor = list(
-        project.client.get_labeling_frontends(
-            where=LabelingFrontend.name == "editor"
-        )
-    )[0]
-    empty_ontology = {"tools": [], "classifications": []}
-    project.setup(editor, empty_ontology)
+def project_with_one_feature_ontology(project, client: Client):
+    tools = [
+        Tool(tool=Tool.Type.BBOX, name="test-bbox-class").asdict(),
+    ]
+    empty_ontology = {"tools": tools, "classifications": []}
+    ontology = client.create_ontology(
+        "empty ontology", empty_ontology, MediaType.Image
+    )
+    project.connect_ontology(ontology)
     yield project
 
 
 @pytest.fixture
 def configured_project_with_complex_ontology(
-    client, initial_dataset, rand_gen, image_url, teardown_helpers
+    client: Client, initial_dataset, rand_gen, image_url, teardown_helpers
 ):
     project = client.create_project(
         name=rand_gen(str),
@@ -1072,19 +1072,12 @@ def configured_project_with_complex_ontology(
     )
     project.data_row_ids = data_row_ids
 
-    editor = list(
-        project.client.get_labeling_frontends(
-            where=LabelingFrontend.name == "editor"
-        )
-    )[0]
-
     ontology = OntologyBuilder()
     tools = [
         Tool(tool=Tool.Type.BBOX, name="test-bbox-class"),
         Tool(tool=Tool.Type.LINE, name="test-line-class"),
         Tool(tool=Tool.Type.POINT, name="test-point-class"),
         Tool(tool=Tool.Type.POLYGON, name="test-polygon-class"),
-        Tool(tool=Tool.Type.NER, name="test-ner-class"),
     ]
 
     options = [
@@ -1116,7 +1109,11 @@ def configured_project_with_complex_ontology(
     for c in classifications:
         ontology.add_classification(c)
 
-    project.setup(editor, ontology.asdict())
+    ontology = client.create_ontology(
+        "complex image ontology", ontology.asdict(), MediaType.Image
+    )
+
+    project.connect_ontology(ontology)
 
     yield [project, data_row]
     teardown_helpers.teardown_project_labels_ontology_feature_schemas(project)