✨🎨Computational backend: Automatically stop a running job if no logs are detected for 1h

packages/dask-task-models-library/src/dask_task_models_library/container_tasks/errors.py

@@ -3,24 +3,42 @@
 from common_library.errors_classes import OsparcErrorMixin
 
 
-class TaskValueError(OsparcErrorMixin, ValueError): ...
-
-
-class TaskCancelledError(OsparcErrorMixin, RuntimeError):
-    msg_template = "The task was cancelled"
+class ContainerTaskError(OsparcErrorMixin, RuntimeError):
+    msg_template = (
+        "The service {service_key}:{service_version}"
+        " running in container {container_id} encountered an unexpected error: {error_message}."
+    )
 
 
-class ServiceRuntimeError(OsparcErrorMixin, RuntimeError):
+class ServiceRuntimeError(ContainerTaskError):
     msg_template = (
         "The service {service_key}:{service_version}"
         " running in container {container_id} failed with code"
         " {exit_code}. Last logs:\n{service_logs}"
     )
 
 
-class ServiceInputsUseFileToKeyMapButReceivesZipDataError(
-    OsparcErrorMixin, RuntimeError
-):
+class ServiceOutOfMemoryError(ServiceRuntimeError):
+    msg_template = (
+        "The service {service_key}:{service_version}"
+        " running in container {container_id} ran out of memory and was terminated. Current limits are {service_resources}."
+        " Last logs:\n{service_logs}"
+    )
+
+
+class ServiceTimeoutLoggingError(ServiceRuntimeError):
+    msg_template = (
+        "The service {service_key}:{service_version}"
+        " running in container {container_id} was silent/hanging for longer than {timeout_timedelta} and was terminated. "
+        "TIP: The service might have an internal issue or was wrongly setup."
+    )
+
+
+class TaskCancelledError(ContainerTaskError):
+    msg_template = "The task was cancelled"
+
+
+class ServiceInputsUseFileToKeyMapButReceivesZipDataError(ContainerTaskError):
     msg_template = (
         "The service {service_key}:{service_version} {input} uses a file-to-key {file_to_key_map} map but receives zip data instead. "
         "TIP: either pass a single file or zip file and remove the file-to-key map parameter."

services/dask-sidecar/src/simcore_service_dask_sidecar/computational_sidecar/core.py

@@ -15,15 +15,17 @@
 from dask_task_models_library.container_tasks.docker import DockerBasicAuth
 from dask_task_models_library.container_tasks.errors import (
     ServiceInputsUseFileToKeyMapButReceivesZipDataError,
+    ServiceOutOfMemoryError,
     ServiceRuntimeError,
+    ServiceTimeoutLoggingError,
 )
 from dask_task_models_library.container_tasks.io import FileUrl, TaskOutputData
 from dask_task_models_library.container_tasks.protocol import ContainerTaskParameters
 from models_library.progress_bar import ProgressReport
 from packaging import version
-from pydantic import ValidationError
+from pydantic import ByteSize, TypeAdapter, ValidationError
 from pydantic.networks import AnyUrl
-from servicelib.logging_utils import LogLevelInt, LogMessageStr
+from servicelib.logging_utils import LogLevelInt, LogMessageStr, log_catch
 from servicelib.progress_bar import ProgressBarData
 from settings_library.s3 import S3Settings
 from yarl import URL
@@ -263,31 +265,55 @@ async def run(self, command: list[str]) -> TaskOutputData:
             ):
                 await container.start()
                 await self._publish_sidecar_log(
-                    f"Container started as '{container.id}' on {socket.gethostname()}..."
+                    f"Service {self.task_parameters.image}:{self.task_parameters.tag} started as '{container.id}' on {socket.gethostname()}..."
                 )
                 # wait until the container finished, either success or fail or timeout
                 while (container_data := await container.show())["State"]["Running"]:
                     await asyncio.sleep(CONTAINER_WAIT_TIME_SECS)
+
+                async def _safe_get_last_logs() -> list[str]:
+                    with log_catch(_logger, reraise=False):
+                        last_logs = await cast(
+                            Coroutine,
+                            container.log(
+                                stdout=True, stderr=True, tail=20, follow=False
+                            ),
+                        )
+                        assert isinstance(last_logs, list)  # nosec
+                        return last_logs
+                    return ["Unexpected error: Could not retrieve logs."]
+
+                # Check for OOMKilled
+                if container_data["State"].get("OOMKilled", False):
+                    raise ServiceOutOfMemoryError(
+                        service_key=self.task_parameters.image,
+                        service_version=self.task_parameters.tag,
+                        service_resources=TypeAdapter(ByteSize)
+                        .validate_python(self.task_max_resources.get("RAM", 0))
+                        .human_readable(),
+                        container_id=container.id,
+                        service_logs=await _safe_get_last_logs(),
+                    )
+
                 if container_data["State"]["ExitCode"] > os.EX_OK:
                     raise ServiceRuntimeError(
                         service_key=self.task_parameters.image,
                         service_version=self.task_parameters.tag,
                         container_id=container.id,
                         exit_code=container_data["State"]["ExitCode"],
-                        service_logs=await cast(
-                            Coroutine,
-                            container.log(
-                                stdout=True, stderr=True, tail=20, follow=False
-                            ),
-                        ),
+                        service_logs=await _safe_get_last_logs(),
                     )
-                await self._publish_sidecar_log("Container ran successfully.")
+                await self._publish_sidecar_log(
+                    f"Service {self.task_parameters.image}:{self.task_parameters.tag} completed successfully."
+                )
 
             # POST-PROCESSING (1 step weighted 5%)
             results = await self._retrieve_output_data(
                 task_volumes, image_labels.get_integration_version()
             )
-            await self._publish_sidecar_log("Task completed successfully.")
+            await self._publish_sidecar_log(
+                f"Uploaded output data of {self.task_parameters.image}:{self.task_parameters.tag} successfully."
+            )
             return results
 
     async def __aenter__(self) -> "ComputationalSidecar":
@@ -302,11 +328,21 @@ async def __aexit__(
         tb: TracebackType | None,
     ) -> None:
         if exc:
-            await self._publish_sidecar_log(
-                f"Task error:\n{exc}", log_level=logging.ERROR
-            )
-            await self._publish_sidecar_log(
-                "TIP: There might be more information in the service log file in the service outputs",
-            )
+            if isinstance(exc, asyncio.CancelledError):
+                # cancelled errors are not logged as errors
+                await self._publish_sidecar_log("Service was cancelled.")
+            elif isinstance(exc, ServiceTimeoutLoggingError | ServiceOutOfMemoryError):
+                await self._publish_sidecar_log(f"{exc}", log_level=logging.ERROR)
+                await self._publish_sidecar_log(
+                    "TIP: There might be more information in the service log to help debug the service issue.",
+                )
+
+            else:
+                await self._publish_sidecar_log(
+                    f"Service error: {exc}", log_level=logging.ERROR
+                )
+                await self._publish_sidecar_log(
+                    "TIP: There might be more information in the service log to help debug the service issue.",
+                )
         # ensure we pass the final progress
         self.task_publishers.publish_progress(ProgressReport(actual_value=1))