diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index e5f678b4..a657c9f6 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -7,12 +7,11 @@ repos: - id: end-of-file-fixer - id: trailing-whitespace - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.4.4 + # Pin to the latest release as of today + rev: v0.12.10 hooks: - - id: ruff -exclude: | - (?x)^( - kubeflow/trainer/__init__.py| - kubeflow/trainer/api/__init__.py| - kubeflow/trainer/models/.*| - )$ + # Lint + auto-fix (must run before format) + - id: ruff-check + args: [ --fix ] + # Format after fixes + - id: ruff-format diff --git a/Makefile b/Makefile index 507b04d5..0671241a 100644 --- a/Makefile +++ b/Makefile @@ -48,12 +48,13 @@ uv: ## Install UV .PHONY: ruff ruff: ## Install Ruff - @uvx ruff --help &> /dev/null || uv tool install ruff + @uv run ruff --help &> /dev/null || uv tool install ruff .PHONY: verify verify: install-dev ## install all required tools @uv lock --check - @uvx ruff check --show-fixes + @uv run ruff check --show-fixes --output-format=github . + @uv run ruff format --check kubeflow .PHONY: uv-venv uv-venv: diff --git a/kubeflow/trainer/__init__.py b/kubeflow/trainer/__init__.py index 346ef507..61a46b26 100644 --- a/kubeflow/trainer/__init__.py +++ b/kubeflow/trainer/__init__.py @@ -13,11 +13,13 @@ # limitations under the License. -from __future__ import absolute_import - # Import the Kubeflow Trainer client. from kubeflow.trainer.api.trainer_client import TrainerClient # noqa: F401 +# import backends and its associated configs +from kubeflow.trainer.backends.kubernetes.types import KubernetesBackendConfig +from kubeflow.trainer.backends.localprocess.types import LocalProcessBackendConfig + # Import the Kubeflow Trainer constants. from kubeflow.trainer.constants.constants import DATASET_PATH, MODEL_PATH # noqa: F401 @@ -32,17 +34,12 @@ Initializer, Loss, Runtime, + RuntimeTrainer, TorchTuneConfig, TorchTuneInstructDataset, - RuntimeTrainer, TrainerType, ) -# import backends and its associated configs -from kubeflow.trainer.backends.kubernetes.types import KubernetesBackendConfig -from kubeflow.trainer.backends.localprocess.types import LocalProcessBackendConfig - - __all__ = [ "BuiltinTrainer", "CustomTrainer", diff --git a/kubeflow/trainer/api/__init__.py b/kubeflow/trainer/api/__init__.py index 6cf361ed..52534e98 100644 --- a/kubeflow/trainer/api/__init__.py +++ b/kubeflow/trainer/api/__init__.py @@ -1,4 +1,3 @@ # ruff: noqa # import apis into api package - diff --git a/kubeflow/trainer/api/trainer_client.py b/kubeflow/trainer/api/trainer_client.py index a61c8084..6b564c90 100644 --- a/kubeflow/trainer/api/trainer_client.py +++ b/kubeflow/trainer/api/trainer_client.py @@ -12,16 +12,18 @@ # See the License for the specific language governing permissions and # limitations under the License. +from collections.abc import Iterator import logging -from typing import Optional, Union, Iterator +from typing import Optional, Union -from kubeflow.trainer.constants import constants -from kubeflow.trainer.types import types from kubeflow.trainer.backends.kubernetes.backend import KubernetesBackend from kubeflow.trainer.backends.kubernetes.types import KubernetesBackendConfig -from kubeflow.trainer.backends.localprocess.backend import LocalProcessBackend -from kubeflow.trainer.backends.localprocess.backend import LocalProcessBackendConfig - +from kubeflow.trainer.backends.localprocess.backend import ( + LocalProcessBackend, + LocalProcessBackendConfig, +) +from kubeflow.trainer.constants import constants +from kubeflow.trainer.types import types logger = logging.getLogger(__name__) @@ -29,9 +31,7 @@ class TrainerClient: def __init__( self, - backend_config: Union[ - KubernetesBackendConfig, LocalProcessBackendConfig - ] = KubernetesBackendConfig(), + backend_config: Union[KubernetesBackendConfig, LocalProcessBackendConfig] = None, ): """Initialize a Kubeflow Trainer client. @@ -45,12 +45,15 @@ def __init__( """ # initialize training backend + if not backend_config: + backend_config = KubernetesBackendConfig() + if isinstance(backend_config, KubernetesBackendConfig): self.backend = KubernetesBackend(backend_config) elif isinstance(backend_config, LocalProcessBackendConfig): self.backend = LocalProcessBackend(backend_config) else: - raise ValueError("Invalid backend config '{}'".format(backend_config)) + raise ValueError(f"Invalid backend config '{backend_config}'") def list_runtimes(self) -> list[types.Runtime]: """List of the available runtimes. diff --git a/kubeflow/trainer/backends/base.py b/kubeflow/trainer/backends/base.py index 729f769c..0316b7b6 100644 --- a/kubeflow/trainer/backends/base.py +++ b/kubeflow/trainer/backends/base.py @@ -13,22 +13,27 @@ # limitations under the License. import abc +from collections.abc import Iterator +from typing import Optional, Union -from typing import Optional, Union, Iterator from kubeflow.trainer.constants import constants from kubeflow.trainer.types import types class ExecutionBackend(abc.ABC): + @abc.abstractmethod def list_runtimes(self) -> list[types.Runtime]: raise NotImplementedError() + @abc.abstractmethod def get_runtime(self, name: str) -> types.Runtime: raise NotImplementedError() + @abc.abstractmethod def get_runtime_packages(self, runtime: types.Runtime): raise NotImplementedError() + @abc.abstractmethod def train( self, runtime: Optional[types.Runtime] = None, @@ -37,12 +42,15 @@ def train( ) -> str: raise NotImplementedError() + @abc.abstractmethod def list_jobs(self, runtime: Optional[types.Runtime] = None) -> list[types.TrainJob]: raise NotImplementedError() + @abc.abstractmethod def get_job(self, name: str) -> types.TrainJob: raise NotImplementedError() + @abc.abstractmethod def get_job_logs( self, name: str, @@ -51,6 +59,7 @@ def get_job_logs( ) -> Iterator[str]: raise NotImplementedError() + @abc.abstractmethod def wait_for_job_status( self, name: str, @@ -60,5 +69,6 @@ def wait_for_job_status( ) -> types.TrainJob: raise NotImplementedError() + @abc.abstractmethod def delete_job(self, name: str): raise NotImplementedError() diff --git a/kubeflow/trainer/backends/kubernetes/backend.py b/kubeflow/trainer/backends/kubernetes/backend.py index 5cd9af77..4310182b 100644 --- a/kubeflow/trainer/backends/kubernetes/backend.py +++ b/kubeflow/trainer/backends/kubernetes/backend.py @@ -12,23 +12,25 @@ # See the License for the specific language governing permissions and # limitations under the License. +from collections.abc import Iterator import copy import logging import multiprocessing import random +import re import string import time +from typing import Optional, Union import uuid -from typing import Optional, Union, Iterator -import re -from kubeflow.trainer.constants import constants -from kubeflow.trainer.types import types -from kubeflow.trainer.utils import utils from kubeflow_trainer_api import models from kubernetes import client, config, watch + from kubeflow.trainer.backends.base import ExecutionBackend from kubeflow.trainer.backends.kubernetes import types as k8s_types +from kubeflow.trainer.constants import constants +from kubeflow.trainer.types import types +from kubeflow.trainer.utils import utils logger = logging.getLogger(__name__) @@ -141,8 +143,8 @@ def get_runtime_packages(self, runtime: types.Runtime): runtime_copy.trainer.set_command(tuple(mpi_command)) def print_packages(): - import subprocess import shutil + import subprocess import sys # Print Python version. @@ -353,8 +355,7 @@ def get_job_logs( ) # Stream logs incrementally. - for logline in log_stream: - yield logline # type:ignore + yield from log_stream else: logs = self.core_api.read_namespaced_pod_log( name=pod_name, @@ -362,8 +363,7 @@ def get_job_logs( container=container_name, ) - for line in logs.splitlines(): - yield line + yield from logs.splitlines() except Exception as e: raise RuntimeError( @@ -554,9 +554,12 @@ def __get_trainjob_from_crd( # Update the TrainJob status from its conditions. if trainjob_crd.status and trainjob_crd.status.conditions: for c in trainjob_crd.status.conditions: - if c.type == constants.TRAINJOB_COMPLETE and c.status == "True": - trainjob.status = c.type - elif c.type == constants.TRAINJOB_FAILED and c.status == "True": + if ( + c.type == constants.TRAINJOB_COMPLETE + and c.status == "True" + or c.type == constants.TRAINJOB_FAILED + and c.status == "True" + ): trainjob.status = c.type else: # The TrainJob running status is defined when all training node (e.g. Pods) are diff --git a/kubeflow/trainer/backends/kubernetes/backend_test.py b/kubeflow/trainer/backends/kubernetes/backend_test.py index 00206a22..700739a6 100644 --- a/kubeflow/trainer/backends/kubernetes/backend_test.py +++ b/kubeflow/trainer/backends/kubernetes/backend_test.py @@ -19,31 +19,31 @@ It tests KubernetesBackend's behavior across job listing, resource creation etc """ +from dataclasses import asdict import datetime import multiprocessing import random import string -import uuid -from dataclasses import asdict from typing import Optional from unittest.mock import Mock, patch +import uuid -import pytest from kubeflow_trainer_api import models +import pytest -from kubeflow.trainer.constants import constants -from kubeflow.trainer.types import types -from kubeflow.trainer.utils import utils from kubeflow.trainer.backends.kubernetes.backend import KubernetesBackend from kubeflow.trainer.backends.kubernetes.types import KubernetesBackendConfig -from kubeflow.trainer.test.common import TestCase +from kubeflow.trainer.constants import constants from kubeflow.trainer.test.common import ( - SUCCESS, - FAILED, DEFAULT_NAMESPACE, - TIMEOUT, + FAILED, RUNTIME, + SUCCESS, + TIMEOUT, + TestCase, ) +from kubeflow.trainer.types import types +from kubeflow.trainer.utils import utils # In all tests runtime name is equal to the framework name. TORCH_RUNTIME = "torch" @@ -788,7 +788,6 @@ def test_get_runtime_packages(kubernetes_backend, test_case): }, expected_error=ValueError, ), - ], ) def test_train(kubernetes_backend, test_case): diff --git a/kubeflow/trainer/backends/kubernetes/types.py b/kubeflow/trainer/backends/kubernetes/types.py index 60e48448..26f2f5e7 100644 --- a/kubeflow/trainer/backends/kubernetes/types.py +++ b/kubeflow/trainer/backends/kubernetes/types.py @@ -13,6 +13,7 @@ # limitations under the License. from typing import Optional + from kubernetes import client from pydantic import BaseModel diff --git a/kubeflow/trainer/backends/localprocess/backend.py b/kubeflow/trainer/backends/localprocess/backend.py index 4fbb2d46..d10a5b10 100644 --- a/kubeflow/trainer/backends/localprocess/backend.py +++ b/kubeflow/trainer/backends/localprocess/backend.py @@ -11,25 +11,26 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from collections.abc import Iterator +from datetime import datetime import logging +import random import string import tempfile +from typing import Optional, Union import uuid -import random -from datetime import datetime -from typing import List, Optional, Set, Union, Iterator -from kubeflow.trainer.constants import constants -from kubeflow.trainer.types import types from kubeflow.trainer.backends.base import ExecutionBackend +from kubeflow.trainer.backends.localprocess import utils as local_utils +from kubeflow.trainer.backends.localprocess.constants import local_runtimes +from kubeflow.trainer.backends.localprocess.job import LocalJob from kubeflow.trainer.backends.localprocess.types import ( - LocalProcessBackendConfig, LocalBackendJobs, LocalBackendStep, + LocalProcessBackendConfig, ) -from kubeflow.trainer.backends.localprocess.constants import local_runtimes -from kubeflow.trainer.backends.localprocess.job import LocalJob -from kubeflow.trainer.backends.localprocess import utils as local_utils +from kubeflow.trainer.constants import constants +from kubeflow.trainer.types import types logger = logging.getLogger(__name__) @@ -40,10 +41,10 @@ def __init__( cfg: LocalProcessBackendConfig, ): # list of running subprocesses - self.__local_jobs: List[LocalBackendJobs] = [] + self.__local_jobs: list[LocalBackendJobs] = [] self.cfg = cfg - def list_runtimes(self) -> List[types.Runtime]: + def list_runtimes(self) -> list[types.Runtime]: return [self.__convert_local_runtime_to_runtime(local_runtime=rt) for rt in local_runtimes] def get_runtime(self, name: str) -> types.Runtime: @@ -81,7 +82,7 @@ def train( # create temp dir venv_dir = tempfile.mkdtemp(prefix=train_job_name) - logger.debug("operating in {}".format(venv_dir)) + logger.debug(f"operating in {venv_dir}") runtime.trainer = local_utils.get_local_runtime_trainer( runtime_name=runtime.name, @@ -103,7 +104,7 @@ def train( # create subprocess object train_job = LocalJob( - name="{}-train".format(train_job_name), + name=f"{train_job_name}-train", command=training_command, execution_dir=venv_dir, env=trainer.env, @@ -121,7 +122,7 @@ def train( return train_job_name - def list_jobs(self, runtime: Optional[types.Runtime] = None) -> List[types.TrainJob]: + def list_jobs(self, runtime: Optional[types.Runtime] = None) -> list[types.TrainJob]: result = [] for _job in self.__local_jobs: @@ -144,7 +145,7 @@ def list_jobs(self, runtime: Optional[types.Runtime] = None) -> List[types.Train def get_job(self, name: str) -> Optional[types.TrainJob]: _job = next((j for j in self.__local_jobs if j.name == name), None) if _job is None: - raise ValueError("No TrainJob with name '%s'" % name) + raise ValueError(f"No TrainJob with name {name}") # check and set the correct job status to match `TrainerClient` supported statuses status = self.__get_job_status(_job) @@ -169,7 +170,7 @@ def get_job_logs( ) -> Iterator[str]: _job = [j for j in self.__local_jobs if j.name == name] if not _job: - raise ValueError("No TrainJob with name '%s'" % name) + raise ValueError(f"No TrainJob with name {name}") want_all_steps = step == constants.NODE + "-0" @@ -183,7 +184,7 @@ def get_job_logs( def wait_for_job_status( self, name: str, - status: Set[str] = {constants.TRAINJOB_COMPLETE}, + status: set[str] = {constants.TRAINJOB_COMPLETE}, timeout: int = 600, polling_interval: int = 2, ) -> types.TrainJob: @@ -191,7 +192,7 @@ def wait_for_job_status( _job = next((_job for _job in self.__local_jobs if _job.name == name), None) if _job is None: - raise ValueError("No TrainJob with name '%s'" % name) + raise ValueError(f"No TrainJob with name {name}") # find a better implementation for this for _step in _job.steps: if _step.job.status in [constants.TRAINJOB_RUNNING, constants.TRAINJOB_CREATED]: @@ -202,7 +203,7 @@ def delete_job(self, name: str): # find job first. _job = next((j for j in self.__local_jobs if j.name == name), None) if _job is None: - raise ValueError("No TrainJob with name '%s'" % name) + raise ValueError(f"No TrainJob with name {name}") # cancel all nested step jobs in target job _ = [step.job.cancel() for step in _job.steps] @@ -241,7 +242,7 @@ def __register_job( _step = LocalBackendStep(step_name=step_name, job=job) _job.steps.append(_step) else: - logger.warning("Step '{}' already registered.".format(step_name)) + logger.warning(f"Step '{step_name}' already registered.") def __convert_local_runtime_to_runtime(self, local_runtime) -> types.Runtime: return types.Runtime( diff --git a/kubeflow/trainer/backends/localprocess/constants.py b/kubeflow/trainer/backends/localprocess/constants.py index 7ac0868f..c7205cc6 100644 --- a/kubeflow/trainer/backends/localprocess/constants.py +++ b/kubeflow/trainer/backends/localprocess/constants.py @@ -12,11 +12,12 @@ # See the License for the specific language governing permissions and # limitations under the License. -import textwrap import re -from kubeflow.trainer.types import types as base_types -from kubeflow.trainer.constants import constants +import textwrap + from kubeflow.trainer.backends.localprocess import types +from kubeflow.trainer.constants import constants +from kubeflow.trainer.types import types as base_types TORCH_FRAMEWORK_TYPE = "torch" diff --git a/kubeflow/trainer/backends/localprocess/job.py b/kubeflow/trainer/backends/localprocess/job.py index 3ef8c58e..cc5cad47 100644 --- a/kubeflow/trainer/backends/localprocess/job.py +++ b/kubeflow/trainer/backends/localprocess/job.py @@ -11,12 +11,12 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from datetime import datetime +import logging import os -import threading import subprocess -import logging -from datetime import datetime -from typing import List, Union, Dict, Tuple +import threading +from typing import Union from kubeflow.trainer.constants import constants @@ -27,10 +27,10 @@ class LocalJob(threading.Thread): def __init__( self, name, - command: Union[List, Tuple[str], str], + command: Union[list, tuple[str], str], execution_dir: str = None, - env: Dict[str, str] = None, - dependencies: List = None, + env: dict[str, str] = None, + dependencies: list = None, ): """Creates a LocalJob. @@ -150,7 +150,7 @@ def cancel(self): def returncode(self): return self._returncode - def logs(self, follow=False) -> List[str]: + def logs(self, follow=False) -> list[str]: if not follow: return self._stdout.splitlines() diff --git a/kubeflow/trainer/backends/localprocess/types.py b/kubeflow/trainer/backends/localprocess/types.py index d2ee0145..09bd452a 100644 --- a/kubeflow/trainer/backends/localprocess/types.py +++ b/kubeflow/trainer/backends/localprocess/types.py @@ -12,10 +12,10 @@ # See the License for the specific language governing permissions and # limitations under the License. -import typing from dataclasses import dataclass, field from datetime import datetime -from typing import List, Optional +import typing +from typing import Optional from pydantic import BaseModel @@ -29,7 +29,7 @@ class LocalProcessBackendConfig(BaseModel): @dataclass class LocalRuntimeTrainer(types.RuntimeTrainer): - packages: List[str] = field(default_factory=list) + packages: list[str] = field(default_factory=list) class LocalBackendStep(BaseModel): @@ -41,7 +41,7 @@ class Config: class LocalBackendJobs(BaseModel): - steps: Optional[List[LocalBackendStep]] = [] + steps: Optional[list[LocalBackendStep]] = [] runtime: Optional[types.Runtime] = None name: str created: typing.Optional[datetime] = None diff --git a/kubeflow/trainer/backends/localprocess/utils.py b/kubeflow/trainer/backends/localprocess/utils.py index c86e6f81..1c18676e 100644 --- a/kubeflow/trainer/backends/localprocess/utils.py +++ b/kubeflow/trainer/backends/localprocess/utils.py @@ -1,16 +1,16 @@ import inspect import os -import shutil -import re -import textwrap from pathlib import Path +import re +import shutil from string import Template -from typing import List, Callable, Optional, Dict, Any, Tuple, Set +import textwrap +from typing import Any, Callable, Optional from kubeflow.trainer.backends.localprocess import constants as local_exec_constants +from kubeflow.trainer.backends.localprocess.types import LocalRuntimeTrainer from kubeflow.trainer.constants import constants from kubeflow.trainer.types import types -from kubeflow.trainer.backends.localprocess.types import LocalRuntimeTrainer def _extract_name(requirement: str) -> str: @@ -47,9 +47,9 @@ def _canonicalize_name(name: str) -> str: def get_install_packages( - runtime_packages: List[str], - trainer_packages: Optional[List[str]] = None, -) -> List[str]: + runtime_packages: list[str], + trainer_packages: Optional[list[str]] = None, +) -> list[str]: """ Merge two requirement lists into a single list of strings. @@ -70,8 +70,8 @@ def get_install_packages( return runtime_packages # --- Parse + normalize runtime --- - runtime_parsed: List[Tuple[str, str]] = [] # (orig, canonical_name) - last_runtime_index_by_name: Dict[str, int] = {} + runtime_parsed: list[tuple[str, str]] = [] # (orig, canonical_name) + last_runtime_index_by_name: dict[str, int] = {} for i, orig in enumerate(runtime_packages): raw_name = _extract_name(orig) @@ -80,8 +80,8 @@ def get_install_packages( last_runtime_index_by_name[canon] = i # last occurrence index wins among runtime # --- Parse + validate trainer (detect duplicates) --- - trainer_parsed: List[Tuple[str, str]] = [] - seen_trainer: Set[str] = set() + trainer_parsed: list[tuple[str, str]] = [] + seen_trainer: set[str] = set() for orig in trainer_packages: raw_name = _extract_name(orig) canon = _canonicalize_name(raw_name) @@ -92,13 +92,13 @@ def get_install_packages( seen_trainer.add(canon) trainer_parsed.append((orig, canon)) - trainer_names: Set[str] = {canon for _, canon in trainer_parsed} + trainer_names: set[str] = {canon for _, canon in trainer_parsed} # --- Build merged list respecting order semantics --- - merged: List[str] = [] + merged: list[str] = [] # 1) Runtime-only packages (only emit the last occurrence for each name) - emitted_runtime_names: Set[str] = set() + emitted_runtime_names: set[str] = set() for idx, (orig, canon) in enumerate(runtime_parsed): if canon in trainer_names: continue # overwritten by trainer @@ -147,9 +147,9 @@ def get_local_runtime_trainer( def get_dependencies_command( - runtime_packages: List[str], + runtime_packages: list[str], pip_index_urls: str, - trainer_packages: List[str], + trainer_packages: list[str], quiet: bool = True, ) -> str: # resolve runtime dependencies and trainer dependencies. @@ -178,7 +178,7 @@ def get_dependencies_command( def get_command_using_train_func( runtime: types.Runtime, train_func: Callable, - train_func_parameters: Optional[Dict[str, Any]], + train_func_parameters: Optional[dict[str, Any]], venv_dir: str, train_job_name: str, ) -> str: diff --git a/kubeflow/trainer/constants/constants.py b/kubeflow/trainer/constants/constants.py index 7e29f592..015498f9 100644 --- a/kubeflow/trainer/constants/constants.py +++ b/kubeflow/trainer/constants/constants.py @@ -116,13 +116,9 @@ # The label selector for Pods created by the TrainJob. # It checks the following rJob.name: dataset-initializer, model-initializer, launcher, node. -POD_LABEL_SELECTOR = ("{}={{trainjob_name}},{} in ({}, {}, {}, {})").format( - JOBSET_NAME_LABEL, - JOBSET_RJOB_NAME_LABEL, - DATASET_INITIALIZER, - MODEL_INITIALIZER, - LAUNCHER, - NODE, +POD_LABEL_SELECTOR = ( + f"{JOBSET_NAME_LABEL}={{trainjob_name}},{JOBSET_RJOB_NAME_LABEL} " + f"in ({DATASET_INITIALIZER}, {MODEL_INITIALIZER}, {LAUNCHER}, {NODE})" ) # Handle environment variable for multiple URLs (comma-separated). diff --git a/kubeflow/trainer/test/common.py b/kubeflow/trainer/test/common.py index 8645d521..69ec2fe3 100644 --- a/kubeflow/trainer/test/common.py +++ b/kubeflow/trainer/test/common.py @@ -1,8 +1,7 @@ # Shared test utilities and types for Kubeflow Trainer tests. from dataclasses import dataclass, field -from typing import Any, Optional, Type - +from typing import Any, Optional # Common status constants SUCCESS = "success" @@ -18,6 +17,6 @@ class TestCase: expected_status: str = SUCCESS config: dict[str, Any] = field(default_factory=dict) expected_output: Optional[Any] = None - expected_error: Optional[Type[Exception]] = None + expected_error: Optional[type[Exception]] = None # Prevent pytest from collecting this dataclass as a test __test__ = False diff --git a/kubeflow/trainer/utils/utils.py b/kubeflow/trainer/utils/utils.py index 56779269..663109cb 100644 --- a/kubeflow/trainer/utils/utils.py +++ b/kubeflow/trainer/utils/utils.py @@ -15,14 +15,15 @@ import inspect import os import textwrap - -from typing import Callable, Optional, Any +from typing import Any, Callable, Optional from urllib.parse import urlparse -from kubeflow.trainer.constants import constants -from kubeflow.trainer.types import types + from kubeflow_trainer_api import models from kubernetes import config +from kubeflow.trainer.constants import constants +from kubeflow.trainer.types import types + def is_running_in_k8s() -> bool: return os.path.isdir("/var/run/secrets/kubernetes.io/") @@ -41,7 +42,7 @@ def get_default_target_namespace(context: Optional[str] = None) -> str: return current_context["context"]["namespace"] except Exception: return constants.DEFAULT_NAMESPACE - with open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r") as f: + with open("/var/run/secrets/kubernetes.io/serviceaccount/namespace") as f: return f.readline() @@ -221,9 +222,12 @@ def get_trainjob_node_step( if container.env: for env in container.env: - if env.value and env.value.isdigit(): - if env.name == constants.TORCH_ENV_NUM_PROC_PER_NODE: - step.device_count = env.value + if ( + env.value + and env.value.isdigit() + and env.name == constants.TORCH_ENV_NUM_PROC_PER_NODE + ): + step.device_count = env.value return step diff --git a/kubeflow/trainer/utils/utils_test.py b/kubeflow/trainer/utils/utils_test.py index 1d751619..5a1a821a 100644 --- a/kubeflow/trainer/utils/utils_test.py +++ b/kubeflow/trainer/utils/utils_test.py @@ -14,10 +14,11 @@ import pytest -from kubeflow.trainer.utils import utils from kubeflow.trainer.constants import constants +from kubeflow.trainer.test.common import FAILED, SUCCESS, TestCase from kubeflow.trainer.types import types -from kubeflow.trainer.test.common import TestCase, SUCCESS, FAILED +from kubeflow.trainer.utils import utils + def _build_runtime() -> types.Runtime: runtime_trainer = types.RuntimeTrainer( @@ -29,6 +30,7 @@ def _build_runtime() -> types.Runtime: runtime_trainer.set_command(constants.DEFAULT_COMMAND) return types.Runtime(name="test-runtime", trainer=runtime_trainer) + @pytest.mark.parametrize( "test_case", [ @@ -39,38 +41,38 @@ def _build_runtime() -> types.Runtime: "pip_index_urls": [ "https://pypi.org/simple", "https://private.repo.com/simple", - "https://internal.company.com/simple" + "https://internal.company.com/simple", ], - "is_mpi": False + "is_mpi": False, }, expected_output=( '\nif ! [ -x "$(command -v pip)" ]; then\n' - ' python -m ensurepip || python -m ensurepip --user || ' - 'apt-get install python-pip\n' - 'fi\n\n' - 'PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet ' - '--no-warn-script-location --index-url https://pypi.org/simple ' - '--extra-index-url https://private.repo.com/simple ' - '--extra-index-url https://internal.company.com/simple ' - 'torch numpy custom-package\n' - ) + " python -m ensurepip || python -m ensurepip --user || " + "apt-get install python-pip\n" + "fi\n\n" + "PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet " + "--no-warn-script-location --index-url https://pypi.org/simple " + "--extra-index-url https://private.repo.com/simple " + "--extra-index-url https://internal.company.com/simple " + "torch numpy custom-package\n" + ), ), TestCase( name="single pip index URL (backward compatibility)", config={ "packages_to_install": ["torch", "numpy", "custom-package"], "pip_index_urls": ["https://pypi.org/simple"], - "is_mpi": False + "is_mpi": False, }, expected_output=( '\nif ! [ -x "$(command -v pip)" ]; then\n' - ' python -m ensurepip || python -m ensurepip --user || ' - 'apt-get install python-pip\n' - 'fi\n\n' - 'PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet ' - '--no-warn-script-location --index-url https://pypi.org/simple ' - 'torch numpy custom-package\n' - ) + " python -m ensurepip || python -m ensurepip --user || " + "apt-get install python-pip\n" + "fi\n\n" + "PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet " + "--no-warn-script-location --index-url https://pypi.org/simple " + "torch numpy custom-package\n" + ), ), TestCase( name="multiple pip index URLs with MPI", @@ -79,38 +81,38 @@ def _build_runtime() -> types.Runtime: "pip_index_urls": [ "https://pypi.org/simple", "https://private.repo.com/simple", - "https://internal.company.com/simple" + "https://internal.company.com/simple", ], - "is_mpi": True + "is_mpi": True, }, expected_output=( '\nif ! [ -x "$(command -v pip)" ]; then\n' - ' python -m ensurepip || python -m ensurepip --user || ' - 'apt-get install python-pip\n' - 'fi\n\n' - 'PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet ' - '--no-warn-script-location --index-url https://pypi.org/simple ' - '--extra-index-url https://private.repo.com/simple ' - '--extra-index-url https://internal.company.com/simple ' - '--user torch numpy custom-package\n' - ) + " python -m ensurepip || python -m ensurepip --user || " + "apt-get install python-pip\n" + "fi\n\n" + "PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet " + "--no-warn-script-location --index-url https://pypi.org/simple " + "--extra-index-url https://private.repo.com/simple " + "--extra-index-url https://internal.company.com/simple " + "--user torch numpy custom-package\n" + ), ), TestCase( name="default pip index URLs", config={ "packages_to_install": ["torch", "numpy"], "pip_index_urls": constants.DEFAULT_PIP_INDEX_URLS, - "is_mpi": False + "is_mpi": False, }, expected_output=( '\nif ! [ -x "$(command -v pip)" ]; then\n' - ' python -m ensurepip || python -m ensurepip --user || ' - 'apt-get install python-pip\n' - 'fi\n\n' - 'PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet ' - f'--no-warn-script-location --index-url ' - f'{constants.DEFAULT_PIP_INDEX_URLS[0]} torch numpy\n' - ) + " python -m ensurepip || python -m ensurepip --user || " + "apt-get install python-pip\n" + "fi\n\n" + "PIP_DISABLE_PIP_VERSION_CHECK=1 python -m pip install --quiet " + f"--no-warn-script-location --index-url " + f"{constants.DEFAULT_PIP_INDEX_URLS[0]} torch numpy\n" + ), ), ], ) @@ -120,11 +122,12 @@ def test_get_script_for_python_packages(test_case): script = utils.get_script_for_python_packages( packages_to_install=test_case.config["packages_to_install"], pip_index_urls=test_case.config["pip_index_urls"], - is_mpi=test_case.config["is_mpi"] + is_mpi=test_case.config["is_mpi"], ) assert test_case.expected_output == script + @pytest.mark.parametrize( "test_case", [ @@ -137,17 +140,17 @@ def test_get_script_for_python_packages(test_case): "runtime": _build_runtime(), }, expected_output=[ - 'bash', - '-c', + "bash", + "-c", ( "\nread -r -d '' SCRIPT << EOM\n\n" '"func": (lambda: print("Hello World")),\n\n' "(**{'batch_size': 128, 'learning_rate': 0.001, 'epochs': 20})\n\n" - 'EOM\n' + "EOM\n" 'printf "%s" "$SCRIPT" > "utils_test.py"\n' 'python "utils_test.py"' ), - ] + ], ), TestCase( name="without args calls function with no params", @@ -158,13 +161,13 @@ def test_get_script_for_python_packages(test_case): "runtime": _build_runtime(), }, expected_output=[ - 'bash', - '-c', + "bash", + "-c", ( "\nread -r -d '' SCRIPT << EOM\n\n" '"func": (lambda: print("Hello World")),\n\n' - '()\n\n' - 'EOM\n' + "()\n\n" + "EOM\n" 'printf "%s" "$SCRIPT" > "utils_test.py"\n' 'python "utils_test.py"' ), @@ -199,13 +202,13 @@ def test_get_script_for_python_packages(test_case): "runtime": _build_runtime(), }, expected_output=[ - 'bash', - '-c', + "bash", + "-c", ( "\nread -r -d '' SCRIPT << EOM\n\n" '"func": (lambda: print("Hello World")),\n\n' "(**{'a': 1, 'b': 2})\n\n" - 'EOM\n' + "EOM\n" 'printf "%s" "$SCRIPT" > "utils_test.py"\n' 'python "utils_test.py"' ), @@ -226,7 +229,7 @@ def test_get_script_for_python_packages(test_case): "\nread -r -d '' SCRIPT << EOM\n\n" '"func": (lambda **kwargs: "ok"),\n\n' "(**{'a': 3, 'b': 'hi', 'c': 0.2})\n\n" - 'EOM\n' + "EOM\n" 'printf "%s" "$SCRIPT" > "utils_test.py"\n' 'python "utils_test.py"' ), diff --git a/pyproject.toml b/pyproject.toml index 258d5098..1a31083f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,13 +50,6 @@ Source = "https://github.com/kubeflow/sdk" [tool.hatch.version] path = "kubeflow/__init__.py" -[tool.ruff] -line-length = 100 - -[tool.ruff.lint] -select = ["E", "F", "W"] -ignore = ["E203"] - [tool.uv] package = true @@ -66,3 +59,46 @@ build-backend = "hatchling.build" [tool.hatch.metadata] allow-direct-references = true + +# ruff configuration +[tool.ruff] +# Formatting + lint coordination 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