diff --git a/.github/workflows/quality-check-dagster-contrib-gcp.yml b/.github/workflows/quality-check-dagster-contrib-gcp.yml new file mode 100644 index 0000000..8198054 --- /dev/null +++ b/.github/workflows/quality-check-dagster-contrib-gcp.yml @@ -0,0 +1,12 @@ +name: quality-check-dagster-contrib-gcp +on: + pull_request: + types: [opened, synchronize, reopened] + paths: + - 'libraries/dagster-contrib-gcp/**' + +jobs: + check: + uses: ./.github/workflows/template-quality-check.yml + with: + working_directory: ./libraries/dagster-contrib-gcp diff --git a/.github/workflows/release-dagster-contrib-gcp.yml b/.github/workflows/release-dagster-contrib-gcp.yml new file mode 100644 index 0000000..e887be5 --- /dev/null +++ b/.github/workflows/release-dagster-contrib-gcp.yml @@ -0,0 +1,14 @@ +name: build-and-release-dagster-contrib-gcp + +on: + push: + tags: + - 'dagster_contrib_gcp-*.*.*' + +jobs: + build-and-release-dagster-contrib-gcp: + uses: ./.github/workflows/template-release.yml + with: + library_name: dagster-contrib-gcp + working_directory: ./libraries/dagster-contrib-gcp + secrets: inherit diff --git a/libraries/dagster-contrib-gcp/Makefile b/libraries/dagster-contrib-gcp/Makefile new file mode 100644 index 0000000..6d85a48 --- /dev/null +++ b/libraries/dagster-contrib-gcp/Makefile @@ -0,0 +1,15 @@ +install: + uv sync + +build: + uv build + +test: + uv run pytest + +ruff: + uv run ruff check --fix . + uv run ruff format . + +check: + uv run pyright diff --git a/libraries/dagster-contrib-gcp/README.md b/libraries/dagster-contrib-gcp/README.md new file mode 100644 index 0000000..9bed740 --- /dev/null +++ b/libraries/dagster-contrib-gcp/README.md @@ -0,0 +1,13 @@ +# `dagster-contrib-gcp` + +## Test + +```sh +make test +``` + +## Build + +```sh +make build +``` diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp/__init__.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp/cloud_run/__init__.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp/cloud_run/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp/cloud_run/run_launcher.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp/cloud_run/run_launcher.py new file mode 100644 index 0000000..fd36ff5 --- /dev/null +++ b/libraries/dagster-contrib-gcp/dagster_contrib_gcp/cloud_run/run_launcher.py @@ -0,0 +1,253 @@ +import traceback +from typing import TYPE_CHECKING, Any, Mapping, Optional, Sequence + +import tenacity +from dagster import ( + DagsterInstance, + Field, + Permissive, + StringSource, + _check as check, +) +from dagster._core.events import EngineEventData +from dagster._core.launcher.base import ( + CheckRunHealthResult, + DagsterRun, + LaunchRunContext, + RunLauncher, + WorkerStatus, +) +from dagster._grpc.types import ExecuteRunArgs +from dagster._serdes import ConfigurableClass, ConfigurableClassData +from google.api_core.exceptions import Conflict, ResourceExhausted, ServerError +from google.api_core.operation import Operation +from google.cloud import run_v2 +from google.cloud.run_v2 import RunJobRequest +from google.cloud.run_v2.types import k8s_min +from typing_extensions import Self + +if TYPE_CHECKING: + from dagster._config.config_schema import UserConfigSchema + + +class CloudRunRunLauncher(RunLauncher, ConfigurableClass): + """Run launcher for launching runs as a Google Cloud Run job.""" + + def __init__( + self, + project: str, + region: str, + job_name_by_code_location: "dict[str, str]", + run_job_retry: "dict[str, int]", + inst_data: Optional[ConfigurableClassData] = None, + ): + self._inst_data = inst_data + self.project = project + self.region = region + self.job_name_by_code_location = job_name_by_code_location + + self.run_job_retry_wait = run_job_retry["wait"] + self.run_job_retry_timeout = run_job_retry["timeout"] + + self.jobs_client = run_v2.JobsClient() + self.executions_client = run_v2.ExecutionsClient() + + def launch_run(self, context: LaunchRunContext) -> None: + external_job_origin = check.not_none(context.dagster_run.external_job_origin) + current_code_location = external_job_origin.location_name + + job_origin = check.not_none(context.job_code_origin) + repository_origin = job_origin.repository_origin + + stripped_repository_origin = repository_origin._replace(container_context={}) + stripped_job_origin = job_origin._replace(repository_origin=stripped_repository_origin) + + args = ExecuteRunArgs( + job_origin=stripped_job_origin, + run_id=context.dagster_run.run_id, + instance_ref=self._instance.get_ref(), + ) + + command_args = args.get_command_args() + + operation = self.create_execution(current_code_location, command_args) + execution_id = operation.metadata.name.split("/")[-1] + + instance: DagsterInstance = self._instance + instance.report_engine_event( + message="Launched run in Cloud Run execution", + dagster_run=context.dagster_run, + engine_event_data=EngineEventData({"Execution ID": execution_id}), + cls=self.__class__, + ) + instance.add_run_tags( + context.dagster_run.run_id, {"cloud_run_job_execution_id": execution_id} + ) + + def fully_qualified_job_name(self, code_location_name: str) -> str: + try: + job_name = self.job_name_by_code_location[code_location_name] + except KeyError: + raise Exception(f"No run launcher defined for code location: {code_location_name}") + return f"projects/{self.project}/locations/{self.region}/jobs/{job_name}" + + def create_execution(self, code_location_name: str, args: Sequence[str]): + job_name = self.fully_qualified_job_name(code_location_name) + return self.execute_job(job_name, args=args) + + def execute_job( + self, + fully_qualified_job_name: str, + timeout: str = "3600s", + args: Optional[Sequence[str]] = None, + env: Optional["dict[str, str]"] = None, + ) -> Operation: + request = RunJobRequest(name=fully_qualified_job_name) + + overrides = {} + if args: + overrides["args"] = args + if env: + overrides["env"] = [ + k8s_min.EnvVar(name=name, value=value) for name, value in env.items() + ] + + container_overrides = [RunJobRequest.Overrides.ContainerOverride(**overrides)] + + request.overrides.container_overrides.extend(container_overrides) + request.overrides.timeout = timeout + + @tenacity.retry( + wait=tenacity.wait_fixed(self.run_job_retry_wait), + stop=tenacity.stop_after_delay(self.run_job_retry_timeout), + retry=tenacity.retry_if_exception_type(ResourceExhausted), + ) + def run_job_with_retries_when_quota_exceeded(request: RunJobRequest): + operation = self.jobs_client.run_job(request) + return operation + + operation = run_job_with_retries_when_quota_exceeded(request) + return operation + + def terminate(self, run_id: str) -> bool: + instance: DagsterInstance = self._instance + run = check.not_none(instance.get_run_by_id(run_id)) + execution_id = run.tags.get("cloud_run_job_execution_id") + + if not execution_id: + self._instance.report_engine_event( + message="Unable to identify Cloud Run execution ID for termination", + dagster_run=run, + cls=self.__class__, + ) + return False + + instance.report_run_canceling(run) + external_job_origin = check.not_none(run.external_job_origin) + try: + fully_qualified_execution_name = ( + f"{self.fully_qualified_job_name(external_job_origin.location_name)}" + f"/executions/{execution_id}" + ) + request = run_v2.CancelExecutionRequest( + name=fully_qualified_execution_name, + ) + self.executions_client.cancel_execution(request=request) + except (ServerError, Conflict): + self._instance.report_engine_event( + message=f"Failed to terminate Cloud Run execution: {execution_id}. Error:\n{traceback.format_exc()}", + dagster_run=run, + cls=self.__class__, + ) + return False + + instance.report_run_canceled(run) + return True + + @property + def inst_data(self) -> Optional[ConfigurableClassData]: + return self._inst_data + + @classmethod + def config_type(cls) -> "UserConfigSchema": + return { + "project": Field( + StringSource, + is_required=True, + description="Google Cloud Platform project ID", + ), + "region": Field( + StringSource, + is_required=True, + description="Google Cloud Platform region for the Cloud Run jobs", + ), + "job_name_by_code_location": Field( + Permissive({}), + is_required=True, + description=( + "Job name for each code location. Each item in this map should be a key-value" + " pair where the key is the code location name and the value is the job name." + ), + ), + "run_job_retry": Field( + { + "wait": Field( + int, + is_required=False, + default_value=10, + description="Number of seconds to wait between retries", + ), + "timeout": Field( + int, + is_required=False, + default_value=300, + description="Number of seconds to wait before timing out", + ), + }, + is_required=False, + default_value={"wait": 10, "timeout": 300}, + description=( + "Retry configuration for run job requests. Note that the default Cloud Run " + "Admin API quota is quite low, which makes retries more likely." + ), + ), + } + + @classmethod + def from_config_value( + cls, inst_data: ConfigurableClassData, config_value: Mapping[str, Any] + ) -> Self: + return cls(inst_data=inst_data, **config_value) + + @property + def supports_check_run_worker_health(self): + return True + + def check_run_worker_health(self, run: DagsterRun) -> CheckRunHealthResult: + execution_id = run.tags.get("cloud_run_job_execution_id") + + if not execution_id: + return CheckRunHealthResult(WorkerStatus.UNKNOWN) + + external_job_origin = check.not_none(run.external_job_origin) + try: + fully_qualified_execution_name = ( + f"{self.fully_qualified_job_name(external_job_origin.location_name)}" + f"/executions/{execution_id}" + ) + request = run_v2.GetExecutionRequest(name=fully_qualified_execution_name) + execution = self.executions_client.get_execution(request=request) + if execution.reconciling: + return CheckRunHealthResult(WorkerStatus.RUNNING) + elif execution.failed_count > 0 or execution.cancelled_count > 0: + return CheckRunHealthResult(WorkerStatus.FAILED) + elif execution.succeeded_count > 0: + return CheckRunHealthResult(WorkerStatus.SUCCESS) + else: + return CheckRunHealthResult( + WorkerStatus.UNKNOWN, msg="Unable to determine execution status" + ) + except (ServerError, Conflict): + return CheckRunHealthResult( + WorkerStatus.UNKNOWN, msg="Unable to fetch execution status" + ) diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/__init__.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/cloud_run_tests/__init__.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/cloud_run_tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/cloud_run_tests/repo.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/cloud_run_tests/repo.py new file mode 100644 index 0000000..0a04980 --- /dev/null +++ b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/cloud_run_tests/repo.py @@ -0,0 +1,16 @@ +import dagster + + +@dagster.op +def node(_): + pass + + +@dagster.job +def job(): + node() + + +@dagster.repository +def repository(): + return {"jobs": {"job": job}} diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/conftest.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/conftest.py new file mode 100644 index 0000000..91879fd --- /dev/null +++ b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/conftest.py @@ -0,0 +1,126 @@ +from contextlib import contextmanager +from typing import Callable, ContextManager, Iterator +from unittest.mock import Mock, patch + +import pytest +from dagster._core.definitions.job_definition import JobDefinition +from dagster._core.instance import DagsterInstance +from dagster._core.storage.dagster_run import DagsterRun +from dagster._core.test_utils import in_process_test_workspace, instance_for_test +from dagster._core.types.loadable_target_origin import LoadableTargetOrigin +from dagster._core.workspace.context import WorkspaceRequestContext +from dagster._core.remote_representation import RemoteJob + + +from dagster_contrib_gcp_tests.cloud_run_tests import repo + +IN_PROCESS_NAME = "<>" + + +@pytest.fixture +def instance_cm() -> Callable[..., ContextManager[DagsterInstance]]: + @contextmanager + def cm(config=None): + overrides = { + "run_launcher": { + "module": "dagster_gcp.cloud_run.run_launcher", + "class": "CloudRunRunLauncher", + "config": config or {}, + } + } + with instance_for_test(overrides) as dagster_instance: + yield dagster_instance + + return cm + + +@pytest.fixture +def instance( + instance_cm: Callable[..., ContextManager[DagsterInstance]], +) -> Iterator[DagsterInstance]: + with instance_cm( + { + "project": "test_project", + "region": "test_region", + "job_name_by_code_location": {IN_PROCESS_NAME: "test_job_name"}, + "run_job_retry": {"wait": 1, "timeout": 60}, + } + ) as dagster_instance: + yield dagster_instance + + +@pytest.fixture +def workspace(instance: DagsterInstance) -> Iterator[WorkspaceRequestContext]: + with in_process_test_workspace( + instance, + loadable_target_origin=LoadableTargetOrigin( + python_file=repo.__file__, + attribute=repo.repository.name, + ), + container_image="dagster:latest", + ) as workspace: + yield workspace + + +@pytest.fixture +def job() -> JobDefinition: + return repo.job + + +@pytest.fixture(name="code_location", scope="module") +def code_location_fixture(workspace): + return workspace.get_code_location("repo_loc") + +@pytest.fixture +def run(instance: DagsterInstance, job: JobDefinition, external_job: RemoteJob) -> DagsterRun: + return instance.create_run_for_job( + job, + external_job_origin=external_job.get_external_origin(), + job_code_origin=external_job.get_python_origin(), + ) + + +@pytest.fixture +def executions(): + return {} + + +@pytest.fixture +def mock_jobs_client(executions): + with patch("google.cloud.run_v2.JobsClient") as MockJobsClient: + mock_jobs_client = MockJobsClient.return_value + operation = Mock() + operation.metadata.name = "projects/test_project/locations/test_region/jobs/test_job_name/executions/test_execution_id" + mock_jobs_client.run_job.return_value = operation + + mock_execution = Mock( + reconciling=True, succeeded_count=0, failed_count=0, cancelled_count=0 + ) + executions["test_execution_id"] = mock_execution + yield mock_jobs_client + + +@pytest.fixture +def mock_executions_client(executions): + with patch("google.cloud.run_v2.ExecutionsClient") as MockExecutionsClient: + mock_executions_client = MockExecutionsClient.return_value + + def cancel_execution(request): + execution_id = request.name.split("/")[-1] + executions[execution_id].reconciling = False + executions[execution_id].cancelled_count = 1 + + def get_execution(request): + execution_id = request.name.split("/")[-1] + return executions[execution_id] + + mock_executions_client.cancel_execution.side_effect = cancel_execution + mock_executions_client.get_execution.side_effect = get_execution + + yield mock_executions_client + +@pytest.fixture +def external_job(workspace: WorkspaceRequestContext) -> RemoteJob: + location = workspace.get_code_location(workspace.code_location_names[0]) + return location.get_repository(repo.repository.name).get_full_external_job(repo.job.name) + diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/repo.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/repo.py new file mode 100644 index 0000000..0a04980 --- /dev/null +++ b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/repo.py @@ -0,0 +1,16 @@ +import dagster + + +@dagster.op +def node(_): + pass + + +@dagster.job +def job(): + node() + + +@dagster.repository +def repository(): + return {"jobs": {"job": job}} diff --git a/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/test_run_launcher.py b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/test_run_launcher.py new file mode 100644 index 0000000..d380e85 --- /dev/null +++ b/libraries/dagster-contrib-gcp/dagster_contrib_gcp_tests/test_run_launcher.py @@ -0,0 +1,92 @@ +from dagster import ( + DagsterInstance, + DagsterRun, + DagsterRunStatus, + _check as check, +) +from dagster._core.launcher import WorkerStatus +from dagster._core.workspace.context import BaseWorkspaceRequestContext +from google.cloud.run_v2 import ( + CancelExecutionRequest, + GetExecutionRequest, + RunJobRequest, +) + + +def test_launch_run( + instance: DagsterInstance, + run: DagsterRun, + workspace: BaseWorkspaceRequestContext, + mock_jobs_client, +): + instance.launch_run(run.run_id, workspace) + run = check.not_none(instance.get_run_by_id(run.run_id)) + + # Assert the correct tag is set + assert run.tags["cloud_run_job_execution_id"] == "test_execution_id" + + # Check that mock was called with correct args + mock_jobs_client.run_job.assert_called_once() + args, _ = mock_jobs_client.run_job.call_args + assert isinstance(args[0], RunJobRequest) + assert ( + args[0].name == "projects/test_project/locations/test_region/jobs/test_job_name" + ) + + +def test_terminate( + instance: DagsterInstance, + run: DagsterRun, + workspace: BaseWorkspaceRequestContext, + mock_jobs_client, + mock_executions_client, +): + instance.launch_run(run.run_id, workspace) + assert instance.run_launcher.terminate(run.run_id) + + # Check that a cancellation engine event was emitted + run = check.not_none(instance.get_run_by_id(run.run_id)) + assert run.status == DagsterRunStatus.CANCELED + + # Check that the execution client was called with the correct args + assert mock_executions_client.cancel_execution.call_count == 1 + _, kwargs = mock_executions_client.cancel_execution.call_args + request = kwargs["request"] + assert isinstance(request, CancelExecutionRequest) + assert ( + request.name + == "projects/test_project/locations/test_region/jobs/test_job_name/executions/test_execution_id" + ) + + +def test_check_run_worker_health( + instance: DagsterInstance, + run: DagsterRun, + workspace: BaseWorkspaceRequestContext, + mock_jobs_client, + mock_executions_client, +): + instance.launch_run(run.run_id, workspace) + run = check.not_none(instance.get_run_by_id(run.run_id)) + result = instance.run_launcher.check_run_worker_health(run) + assert result.status == WorkerStatus.RUNNING + assert mock_executions_client.get_execution.call_count == 1 + _, kwargs = mock_executions_client.get_execution.call_args + request = kwargs["request"] + assert isinstance(request, GetExecutionRequest) + assert ( + request.name + == "projects/test_project/locations/test_region/jobs/test_job_name/executions/test_execution_id" + ) + + instance.run_launcher.terminate(run.run_id) + result = instance.run_launcher.check_run_worker_health(run) + assert result.status == WorkerStatus.FAILED + assert mock_executions_client.get_execution.call_count == 2 + _, kwargs = mock_executions_client.get_execution.call_args + request = kwargs["request"] + assert isinstance(request, GetExecutionRequest) + assert ( + request.name + == "projects/test_project/locations/test_region/jobs/test_job_name/executions/test_execution_id" + ) diff --git a/libraries/dagster-contrib-gcp/pyproject.toml b/libraries/dagster-contrib-gcp/pyproject.toml new file mode 100644 index 0000000..d865c51 --- /dev/null +++ b/libraries/dagster-contrib-gcp/pyproject.toml @@ -0,0 +1,20 @@ +[project] +name = "dagster_contrib_gcp" +version = "0.0.1" +description = "Community contributed Google Cloud Platform integration" +readme = "README.md" +requires-python = ">=3.8" +dependencies = [ + "dagster>=1.7.0", + "google-cloud-run>=0.10.10", +] + +[tool.uv] +dev-dependencies 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