Vb/revert labeling service error reporting

libs/labelbox/CHANGELOG.md

@@ -5,8 +5,6 @@
 * Client get_labeling_service_dashboards() aka project list (Miltiple PRs)
 * Client get_task_by_id()([#1767](https://github.com/Labelbox/labelbox-python/pull/1767))
 * Support for MMC tasks annotations([#1787](https://github.com/Labelbox/labelbox-python/pull/1787))
-## Updated
-* Labeling service improve error reporting([#1769](https://github.com/Labelbox/labelbox-python/pull/1769))
 ## Fixed
 * Build a test-pypi sdk instance even if tests fail([#1774](https://github.com/Labelbox/labelbox-python/pull/1774))
 

libs/labelbox/src/labelbox/client.py

@@ -145,19 +145,15 @@ def _default_headers(self):
     @retry.Retry(predicate=retry.if_exception_type(
         labelbox.exceptions.InternalServerError,
         labelbox.exceptions.TimeoutError))
-    def execute(
-        self,
-        query=None,
-        params=None,
-        data=None,
-        files=None,
-        timeout=60.0,
-        experimental=False,
-        error_log_key="message",
-        raise_return_resource_not_found=False,
-        error_handlers: Optional[Dict[str, Callable[[requests.models.Response],
-                                                    None]]] = None
-    ) -> Dict[str, Any]:
+    def execute(self,
+                query=None,
+                params=None,
+                data=None,
+                files=None,
+                timeout=60.0,
+                experimental=False,
+                error_log_key="message",
+                raise_return_resource_not_found=False):
         """ Sends a request to the server for the execution of the
         given query.
 
@@ -171,13 +167,6 @@ def execute(
             files (dict): file arguments for request
             timeout (float): Max allowed time for query execution,
                 in seconds.
-            raise_return_resource_not_found: By default the client relies on the caller to raise the correct exception when a resource is not found.
-                If this is set to True, the client will raise a ResourceNotFoundError exception automatically.
-                This simplifies processing.
-                We recommend to use it only of api returns a clear and well-formed error when a resource not found for a given query.
-            error_handlers (dict): A dictionary mapping graphql error code to handler functions.
-                Allows a caller to handle specific errors reporting in a custom way or produce more user-friendly readable messages.
-
         Returns:
             dict, parsed JSON response.
         Raises:
@@ -341,12 +330,7 @@ def get_error_status_code(error: dict) -> int:
         # TODO: fix this in the server API
         internal_server_error = check_errors(["INTERNAL_SERVER_ERROR"],
                                              "extensions", "code")
-        error_code = "INTERNAL_SERVER_ERROR"
-
         if internal_server_error is not None:
-            if error_handlers and error_code in error_handlers:
-                handler = error_handlers[error_code]
-                handler(response)
             message = internal_server_error.get("message")
             error_status_code = get_error_status_code(internal_server_error)
             if error_status_code == 400:

libs/labelbox/src/labelbox/exceptions.py

@@ -16,10 +16,7 @@ def __init__(self, message, cause=None):
         self.cause = cause
 
     def __str__(self):
-        exception_message = self.message
-        if self.cause is not None:
-            exception_message += " (caused by: %s)" % self.cause
-        return exception_message
+        return self.message + str(self.args)
 
 
 class AuthenticationError(LabelboxError):

libs/labelbox/src/labelbox/schema/labeling_service.py

@@ -1,9 +1,8 @@
 from datetime import datetime
-import json
 from typing import Any
 from typing_extensions import Annotated
 
-from labelbox.exceptions import LabelboxError, ResourceNotFoundError
+from labelbox.exceptions import ResourceNotFoundError
 
 from labelbox.pydantic_compat import BaseModel, Field
 from labelbox.utils import _CamelCaseMixin
@@ -105,29 +104,12 @@ def request(self) -> 'LabelingService':
         }
         """
         result = self.client.execute(query_str, {"projectId": self.project_id},
-                                     raise_return_resource_not_found=True,
-                                     error_handlers={
-                                         "INTERNAL_SERVER_ERROR":
-                                             self._raise_readable_errors
-                                     })
+                                     raise_return_resource_not_found=True)
         success = result["validateAndRequestProjectBoostWorkforce"]["success"]
         if not success:
             raise Exception("Failed to start labeling service")
         return LabelingService.get(self.client, self.project_id)
 
-    def _raise_readable_errors(self, response):
-        errors = response.json().get('errors', [])
-        if errors:
-            message = errors[0].get(
-                'message', json.dumps([{
-                    "errorMessage": "Unknown error"
-                }]))
-            errors = json.loads(message)
-            error_messages = [error['errorMessage'] for error in errors]
-        else:
-            error_messages = ["Uknown error"]
-        raise LabelboxError(". ".join(error_messages))
-
     @classmethod
     def getOrCreate(cls, client, project_id: Cuid) -> 'LabelingService':
         """

libs/labelbox/tests/integration/test_labeling_service.py

@@ -42,8 +42,11 @@ def test_request_labeling_service_moe_project(
     project.upsert_instructions('tests/integration/media/sample_pdf.pdf')
 
     labeling_service = project.get_labeling_service()
-    with pytest.raises(LabelboxError,
-                       match='Project model config is not completed'):
+    with pytest.raises(
+            LabelboxError,
+            match=
+            '[{"errorType":"PROJECT_MODEL_CONFIG","errorMessage":"Project model config is not completed"}]'
+    ):
         labeling_service.request()
     project.add_model_config(model_config.uid)
     project.set_project_model_setup_complete()
@@ -61,8 +64,5 @@ def test_request_labeling_service_incomplete_requirements(ontology, project):
                       ):  # No labeling service by default
         labeling_service.request()
     project.connect_ontology(ontology)
-    with pytest.raises(
-            LabelboxError,
-            match=
-            "['Data is missing', 'Ontology instructions are not completed']"):
+    with pytest.raises(LabelboxError):
         labeling_service.request()