Add Job Cost info to job data scheme

geti_sdk/data_models/job.py

@@ -213,6 +213,16 @@ class JobCancellationInfo:
     cancel_time: Optional[str] = attr.field(converter=str_to_datetime, default=None)
 
 
+@attr.define
+class JobCost:
+    """
+    Information relating to the cost of a Job in Intel Geti
+    """
+
+    requests: List
+    consumed: List
+
+
 @attr.define(slots=False)
 class Job:
     """
@@ -248,6 +258,7 @@ class Job:
         converter=str_to_optional_enum_converter(JobState), default=None
     )  # Added in Geti v1.7
     steps: Optional[List[dict]] = None  # Added in Geti v1.7
+    cost: Optional[JobCost] = None  # Added in Geti v2.2
 
     def __attrs_post_init__(self):
         """

geti_sdk/data_models/project.py

@@ -370,8 +370,8 @@ def summary(self) -> str:
     @property
     def training_dataset(self) -> Dataset:
         """
-        Return the training dataset for the project.
+        Return a training dataset for the project.
 
         :return: Training dataset for the project
         """
-        return [dataset for dataset in self.datasets if dataset.use_for_training][0]
+        return next(dataset for dataset in self.datasets if dataset.use_for_training)

geti_sdk/rest_clients/project_client/project_client.py

@@ -156,7 +156,9 @@ def get_project_by_name(
                         f"the project ID's `{[p.id for p in matches]}` matches the "
                         f"requested id `{project_id}`."
                     )
-                return matched_project
+                    return None
+                else:
+                    return self._get_project_detail(matched_project)
         else:
             return None
 
@@ -524,10 +526,10 @@ def delete_project(
                     f"{dataset.id}/statistics",
                     method="GET",
                 )
-                if dataset_statistics is dict:
-                    dataset_statistics["overview"].get("image_count", 0)
-                    image_count += dataset_statistics.get("images", 0)
-                    video_count += dataset_statistics.get("videos", 0)
+                if isinstance(dataset_statistics, dict):
+                    dataset_overview = dataset_statistics["overview"]
+                    image_count += dataset_overview.get("images", 0)
+                    video_count += dataset_overview.get("videos", 0)
                 else:
                     logging.warning(
                         f"Unable to retrieve statistics for dataset {dataset.name}."