Expose force_live parameter to execution service methods

cirro/services/execution.py

@@ -1,9 +1,9 @@
-from typing import List, Optional
+from typing import List, Optional, Dict
 
 from cirro_api_client.v1.api.execution import run_analysis, stop_analysis, get_project_summary, \
     get_tasks_for_execution, get_task_logs, get_execution_logs
 from cirro_api_client.v1.api.processes import get_process_parameters
-from cirro_api_client.v1.models import RunAnalysisRequest, CreateResponse, GetProjectSummaryResponse200, Task
+from cirro_api_client.v1.models import RunAnalysisRequest, CreateResponse, Task
 
 from cirro.models.form_specification import ParameterSpecification
 from cirro.services.base import BaseService
@@ -82,7 +82,7 @@ def stop_analysis(self, project_id: str, dataset_id: str):
             client=self._api_client
         )
 
-    def get_project_summary(self, project_id: str) -> GetProjectSummaryResponse200:
+    def get_project_summary(self, project_id: str) -> Dict[str, List[Task]]:
         """
         Gets an overview of the executions currently running in the project, by job queue
 
@@ -98,54 +98,63 @@ def get_project_summary(self, project_id: str) -> GetProjectSummaryResponse200:
             client=self._api_client
         ).additional_properties
 
-    def get_execution_logs(self, project_id: str, dataset_id: str) -> str:
+    def get_execution_logs(self, project_id: str, dataset_id: str, force_live=False) -> str:
         """
         Gets live logs from main execution task
 
         Args:
             project_id (str): ID of the Project
             dataset_id (str): ID of the Dataset
+            force_live (bool): If True, it will fetch logs from CloudWatch,
+                even if the execution is already completed
 
         """
 
         resp = get_execution_logs.sync(
             project_id=project_id,
             dataset_id=dataset_id,
+            force_live=force_live,
             client=self._api_client
         )
 
         return '\n'.join(e.message for e in resp.events)
 
-    def get_tasks_for_execution(self, project_id: str, dataset_id: str) -> Optional[List[Task]]:
+    def get_tasks_for_execution(self, project_id: str, dataset_id: str, force_live=False) -> Optional[List[Task]]:
         """
         Gets the tasks submitted by the workflow execution
 
         Args:
             project_id (str): ID of the Project
             dataset_id (str): ID of the Dataset
+            force_live (bool): If True, it will try to get the list of jobs
+                from the executor (i.e., AWS Batch), rather than the workflow report
         """
 
         return get_tasks_for_execution.sync(
             project_id=project_id,
             dataset_id=dataset_id,
+            force_live=force_live,
             client=self._api_client
         )
 
-    def get_task_logs(self, project_id: str, dataset_id: str, task_id: str) -> str:
+    def get_task_logs(self, project_id: str, dataset_id: str, task_id: str, force_live=False) -> str:
         """
         Gets the log output from an individual task
 
         Args:
             project_id (str): ID of the Project
             dataset_id (str): ID of the Dataset
             task_id (str): ID of the task
+            force_live (bool): If True, it will fetch logs from CloudWatch,
+                even if the execution is already completed
 
         """
 
         resp = get_task_logs.sync(
             project_id=project_id,
             dataset_id=dataset_id,
             task_id=task_id,
+            force_live=force_live,
             client=self._api_client
         )