Repository: danielgafni/dagster-ray (language: python)

Issue:
:recycle: refactor to use a common base class



Discussion / hints:

Fix patch:
diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..b6674c8
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,9 @@
+# ignore all by default, add exceptions explicitly
+*
+!dagster_ray
+!tests
+!pyproject.toml
+!poetry.lock
+!poetry.toml
+!README.md
+!.pre-commit-config.yaml
diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
new file mode 100644
index 0000000..362ad2c
--- /dev/null
+++ b/.github/workflows/CI.yml
@@ -0,0 +1,125 @@
+name: QA & Tests
+
+on:
+  workflow_dispatch:
+  push:
+  release:
+      types:
+        - created
+      # Sequence of patterns matched against refs/tags
+      tags:
+        - 'v*' # Push events to matching v*, i.e. v1.0, v20.15.10
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    name: test ${{ matrix.py }} - ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        os:
+          - Ubuntu
+        py:
+#          - "3.12"
+          - "3.11"
+          - "3.10"
+          - "3.9"
+#          - "3.8"
+    steps:
+      - name: Setup python for test ${{ matrix.py }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.py }}
+      - uses: actions/checkout@v4
+      - name: Install and configure Poetry
+        uses: snok/install-poetry@v1
+        with:
+          version: 1.8.2
+          virtualenvs-create: false
+          virtualenvs-in-project: false
+          installer-parallel: true
+      - uses: azure/setup-helm@v4.2.0
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Start minikube
+        uses: medyagh/setup-minikube@master
+        with:
+          start: false
+          driver: docker
+      - name: Install dependencies
+        run: poetry install --all-extras --sync
+      - name: Run tests
+        env:
+          PYTEST_KUBERAY_VERSIONS: "1.0.0,1.1.0"  # will run tests for all these KubeRay versions
+        run: pytest -v .
+
+  lint:
+    name: lint ${{ matrix.py }} - ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        os:
+          - Ubuntu
+        py:
+#          - "3.12"
+          - "3.11"
+          - "3.10"
+          - "3.9"
+#          - "3.8"
+    steps:
+      - name: Setup python for test ${{ matrix.py }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.py }}
+      - uses: actions/checkout@v2
+      - name: Install and configure Poetry
+        uses: snok/install-poetry@v1
+        with:
+          version: 1.8.2
+          virtualenvs-create: false
+          virtualenvs-in-project: false
+          installer-parallel: true
+      - name: Install dependencies
+        run: poetry install --all-extras --sync
+      - name: Run pre-commit hooks
+        run: pre-commit run --all-files
+
+  qa_success:
+    name: QA Success
+    needs: [ test, lint ]
+    runs-on: ubuntu-latest
+    steps:
+      - name: Success
+        run: echo "QA Succeeded!"
+
+  publish:
+    needs: qa_success
+    if: contains(github.ref, 'refs/tags/')
+    name: Publish to PyPI
+    runs-on: ubuntu-latest
+    steps:
+      - name: Setup Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.9
+      - uses: actions/checkout@v2
+      - name: Install and configure Poetry
+        uses: snok/install-poetry@v1
+        with:
+          version: 1.8.2
+          virtualenvs-create: false
+          virtualenvs-in-project: false
+          installer-parallel: true
+      - name: Install poetry-dynamic-versioning
+        run: poetry self add poetry-dynamic-versioning@1.2.0
+      - name: Publish to PyPI
+        env:
+          PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
+        run: |
+          poetry config pypi-token.pypi $PYPI_TOKEN
+          poetry publish --build
diff --git a/.github/workflows/check.yml b/.github/workflows/check.yml
deleted file mode 100644
index 64aca52..0000000
--- a/.github/workflows/check.yml
+++ /dev/null
@@ -1,69 +0,0 @@
-name: check
-on:
-  push:
-  schedule:
-    - cron: "0 8 * * *"
-
-jobs:
-  test:
-    name: test ${{ matrix.py }} - ${{ matrix.os }}
-    runs-on: ${{ matrix.os }}-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        os:
-          - Ubuntu
-          - MacOs
-        py:
-          - "3.11"
-          - "3.10"
-          - "3.9"
-          - "3.8"
-    steps:
-      - name: Setup python for test ${{ matrix.py }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.py }}
-      - uses: actions/checkout@v2
-      - name: Install and configure Poetry
-        uses: snok/install-poetry@v1
-        with:
-          version: 1.4.2
-          virtualenvs-create: false
-          virtualenvs-in-project: false
-          installer-parallel: true
-      - name: Install dependencies
-        run: poetry install --all-extras --sync
-      - name: Run tests
-        run: pytest -v .
-
-  lint:
-    name: lint ${{ matrix.py }} - ${{ matrix.os }}
-    runs-on: ${{ matrix.os }}-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        os:
-          - Ubuntu
-        py:
-          - "3.11"
-          - "3.10"
-          - "3.9"
-          - "3.8"
-    steps:
-      - name: Setup python for test ${{ matrix.py }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.py }}
-      - uses: actions/checkout@v2
-      - name: Install and configure Poetry
-        uses: snok/install-poetry@v1
-        with:
-          version: 1.4.2
-          virtualenvs-create: false
-          virtualenvs-in-project: false
-          installer-parallel: true
-      - name: Install dependencies
-        run: poetry install --all-extras --sync
-      - name: Run pre-commit hooks
-        run: pre-commit run --all-files
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
deleted file mode 100644
index 484bef3..0000000
--- a/.github/workflows/release.yml
+++ /dev/null
@@ -1,38 +0,0 @@
-name: Release
-on:
-  release:
-    types:
-      - created
-    # Sequence of patterns matched against refs/tags
-    tags:
-      - 'v*' # Push events to matching v*, i.e. v1.0, v20.15.10
-jobs:
-  # GitHub Actions don't support requiring jobs from another workflow, and `needs` doesn't work well with matrix,
-  # so this workflow doesn't have testing included. Take care and only create releases from commits with the `check`
-  # workflow passing.
-  publish:
-    name: Publish to PyPI
-    strategy:
-      fail-fast: false
-    runs-on: ubuntu-latest
-    steps:
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: 3.9
-      - uses: actions/checkout@v2
-      - name: Install and configure Poetry
-        uses: snok/install-poetry@v1
-        with:
-          version: 1.4.2
-          virtualenvs-create: false
-          virtualenvs-in-project: false
-          installer-parallel: true
-      - name: Install poetry-dynamic-versioning
-        run: poetry self add poetry-dynamic-versioning@0.21.4
-      - name: Publish to PyPI
-        env:
-          PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
-        run: |
-          poetry config pypi-token.pypi $PYPI_TOKEN
-          poetry publish --build
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 81f8bef..f937fa8 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -21,25 +21,18 @@ repos:
 #        entry: pyupgrade --py38-plus
   - repo: local
     hooks:
-      - id: isort
-        name: isort
-        entry: isort --settings-file pyproject.toml .
-        language: system
-        pass_filenames: false
       - id: ruff
         name: ruff
-        entry: ruff --fix .
+        entry: ruff check --fix .
         language: system
         pass_filenames: false
-      - id: black
-        name: black
-        entry: black .
+      - id: format
+        name: format
+        entry: ruff format
         language: system
         pass_filenames: false
-
       - id: pyright
         name: pyright
         entry: pyright .
         language: system
         pass_filenames: false
-
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000..d5cd4cc
--- /dev/null
+++ b/.python-version
@@ -0,0 +1,1 @@
+3.10.10
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..c79d213
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,81 @@
+#syntax=docker/dockerfile:1.4
+
+# options: prod,dev
+ARG BUILD_DEPENDENCIES=prod
+ARG PYTHON_VERSION=3.11.7
+
+FROM python:${PYTHON_VERSION}-slim AS base
+
+ENV DEBIAN_FRONTEND=noninteractive
+RUN --mount=type=cache,target=/var/cache/apt \
+    apt-get update && apt-get install -y git jq curl gcc python3-dev libpq-dev wget
+
+# install poetry
+ENV PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1 \
+    PIP_NO_CACHE_DIR=off \
+    PIP_DISABLE_PIP_VERSION_CHECK=on \
+    PIP_DEFAULT_TIMEOUT=100 \
+    POETRY_HOME="/opt/poetry" \
+    POETRY_NO_INTERACTION=1 \
+    PYSETUP_PATH="/opt/pysetup" \
+    VENV_PATH="/opt/pysetup/.venv"
+
+ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" \
+    POETRY_VERSION=1.8.2 \
+    POETRY_DYNAMIC_VERSIONING_PLUGIN_VERSION=1.2.0 \
+    POETRY_DYNAMIC_VERSIONING_COMMANDS=version,build,publish
+
+RUN mkdir "$HOME/opt/" \
+    && curl -sSL https://install.python-poetry.org > /tmp/get-poetry.py \
+    && python3 /tmp/get-poetry.py \
+    && poetry config virtualenvs.create false \
+    && mkdir -p /cache/poetry \
+    && poetry config cache-dir /cache/poetry \
+    && python -m pip install --upgrade pip wheel setuptools \
+    && poetry self add "poetry-dynamic-versioning[plugin]=$POETRY_DYNAMIC_VERSIONING_PLUGIN_VERSION"
+
+ARG INSTALLER_PARALLEL=true
+RUN poetry config installer.parallel $INSTALLER_PARALLEL
+
+ENV DAGSTER_HOME=/opt/dagster/dagster_home
+RUN mkdir -p $DAGSTER_HOME
+
+FROM base AS base-prod
+
+WORKDIR /src
+
+COPY pyproject.toml poetry.lock  ./
+
+RUN --mount=type=cache,target=/cache/poetry \
+    poetry install --no-root --only main --all-extras
+
+FROM base-prod AS base-dev
+
+# Node.js is needed for pyright in CI
+ARG NODE_VERSION=20.7.0
+ARG NODE_PACKAGE=node-v$NODE_VERSION-linux-x64
+ARG NODE_HOME=/opt/$NODE_PACKAGE
+ENV NODE_PATH $NODE_HOME/lib/node_modules
+ENV PATH $NODE_HOME/bin:$PATH
+RUN --mount=type=cache,target=/cache/downloads \
+    curl https://nodejs.org/dist/v$NODE_VERSION/$NODE_PACKAGE.tar.gz -o /cache/downloads/$NODE_PACKAGE.tar.gz \
+    && tar -xzC /opt/ -f /cache/downloads/$NODE_PACKAGE.tar.gz
+
+RUN --mount=type=cache,target=/cache/poetry \
+    poetry install --no-root --only dev --all-extras
+
+# -------------------------------------------------------------
+FROM base-${BUILD_DEPENDENCIES} AS final
+
+# Copy all the rest of the code
+COPY . .
+
+# finally install all our code
+RUN poetry install --all-extras
+
+ARG POETRY_DYNAMIC_VERSIONING_BYPASS=unset
+ENV POETRY_DYNAMIC_VERSIONING_BYPASS_TMP=$POETRY_DYNAMIC_VERSIONING_BYPASS
+RUN if [ $POETRY_DYNAMIC_VERSIONING_BYPASS_TMP != unset ]; \
+    then export POETRY_DYNAMIC_VERSIONING_BYPASS=$POETRY_DYNAMIC_VERSIONING_BYPASS_TMP && poetry dynamic-versioning; \
+    fi
diff --git a/README.md b/README.md
index 27fb0c2..e384121 100644
--- a/README.md
+++ b/README.md
@@ -1,18 +1,77 @@
 # `dagster-ray`
 
+
+[![image](https://img.shields.io/pypi/v/dagster-ray.svg)](https://pypi.python.org/pypi/dagster-ray)
+[![image](https://img.shields.io/pypi/l/dagster-ray.svg)](https://pypi.python.org/pypi/dagster-ray)
+[![image](https://img.shields.io/pypi/pyversions/dagster-ray.svg)](https://pypi.python.org/pypi/dagster-ray)
+[![CI](https://github.com/danielgafni/dagster-ray/actions/workflows/ci.yml/badge.svg)](https://github.com/danielgafni/dagster-ray/actions/workflows/ci.yml)
+[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
+[![Checked with pyright](https://microsoft.github.io/pyright/img/pyright_badge.svg)](https://microsoft.github.io/pyright/)
+[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
+
 [Ray](https://github.com/ray-project/ray) integration library for [Dagster](https://github.com/dagster-io/dagster).
 
-> [!WARNING]
-> WIP, perhaps not usable.
+`dagster-ray` allows you to run Ray computations in your Dagster pipelines. The following backends are implemented:
+- `KubeRay` (kubernetes)
+
+`dagster-ray` is tested across multiple version combinations of components such as `ray`, `dagster`, `KubeRay Operator`, and `Python`.
 
 # Features
 
-## Resource
+## Resources
 
-`RayResource` provides access to a Ray cluster from within a Dagster pipeline.
+### `LocalRay`
 
-## IOManagers
-WIP
+A dummy resource which is useful for testing and development.
+It doesn't do anything, but provides the same interface as the other `*Ray` resources.
+
+### `KubeRayCluster`
+
+`KubeRayCluster` can be used for running Ray computations on Kubernetes. Requires `KubeRay Operator` to be installed the Kubernetes cluster.
+
+When added as resource dependency to an `@op/@asset`, the `KubeRayCluster`:
+ - Starts a dedicated `RayCluster` for it
+ - connects `ray.init()` to the cluster (if `ray` is installed)
+ - tears down the cluster after the step is executed
+
+## Schedules
+
+`dagster-ray` provides a schedule for automatic cleanup of old `RayClusters` in the cluster.
+They may be left behind if the automatic cleanup was disabled or failed.
 
 ## Executor
 WIP
+
+# Development
+
+```shell
+poetry install --all-extras
+poetry shell
+pre-commit install
+```
+
+## Testing
+
+### KubeRay
+
+Required tools:
+
+- `docker`
+- `kubectl`
+- `helm`
+- `minikube`
+
+Running `pytest` will **automatically**:
+ - build an image with the local `dagster-ray` code, using the current Python's interpreter version
+ - start a `minikube` Kubernetes cluster
+ - load the built `dagster-ray` and loaded `kuberay-operator` images into the cluster
+ - install the `KubeRay Operator` in the cluster with `helm`
+ - run the tests
+
+Thus, no manual setup is required, just the presence of the tools listed above.
+
+> [!NOTE]
+> Specifying a comma-separated list of `KubeRay Operator` versions in the `KUBE_RAY_OPERATOR_VERSIONS` environment variable will spawn a new test for each version.
+
+> [!NOTE]
+> it may take a while to download `minikube` and `kuberay-operator` images and build the local `dagster-ray` image during the first tests invocation
diff --git a/dagster_ray/__init__.py b/dagster_ray/__init__.py
index 4116f86..e69de29 100644
--- a/dagster_ray/__init__.py
+++ b/dagster_ray/__init__.py
@@ -1,5 +0,0 @@
-from dagster_ray.resource import RayResource
-
-__all__ = [
-    "RayResource",
-]
diff --git a/dagster_ray/_base/__init__.py b/dagster_ray/_base/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/dagster_ray/_base/resources.py b/dagster_ray/_base/resources.py
new file mode 100644
index 0000000..cf2f694
--- /dev/null
+++ b/dagster_ray/_base/resources.py
@@ -0,0 +1,78 @@
+import sys
+import uuid
+from abc import ABC, abstractmethod
+from typing import Optional, cast
+
+from dagster import ConfigurableResource, InitResourceContext
+from pydantic import Field, PrivateAttr
+
+# yes, `python-client` is actually the KubeRay package name
+# https://github.com/ray-project/kuberay/issues/2078
+from requests.exceptions import ConnectionError
+from tenacity import retry, retry_if_exception_type, stop_after_delay
+
+from dagster_ray.config import RayDataExecutionOptions
+
+if sys.version_info >= (3, 11):
+    pass
+else:
+    pass
+
+import ray
+from ray._private.worker import BaseContext as RayBaseContext  # noqa
+
+
+class BaseRayResource(ConfigurableResource, ABC):
+    """
+    Base class for Ray Resources.
+    Defines the common interface and some utility methods.
+    """
+
+    data_execution_options: RayDataExecutionOptions = Field(default_factory=RayDataExecutionOptions)
+    redis_port: int = Field(
+        default=10001, description="Redis port for connection. Make sure to match with the actual available port."
+    )
+    dashboard_port: int = Field(
+        default=8265, description="Dashboard port for connection. Make sure to match with the actual available port."
+    )
+
+    _context: Optional[RayBaseContext] = PrivateAttr()
+
+    @property
+    def context(self) -> "RayBaseContext":
+        assert self._context is not None, "RayClusterResource not initialized"
+        return self._context
+
+    @property
+    @abstractmethod
+    def host(self) -> str:
+        raise NotImplementedError()
+
+    @property
+    def ray_address(self) -> str:
+        return f"ray://{self.host}:{self.redis_port}"
+
+    @property
+    def dashboard_url(self) -> str:
+        return f"http://{self.host}:{self.dashboard_port}"
+
+    @property
+    def runtime_job_id(self) -> str:
+        """
+        Returns the Ray Job ID for the current job which was created with `ray.init()`.
+        :return:
+        """
+        return ray.get_runtime_context().get_job_id()
+
+    @retry(stop=stop_after_delay(120), retry=retry_if_exception_type(ConnectionError), reraise=True)
+    def init_ray(self) -> "RayBaseContext":
+        self.data_execution_options.apply()
+        self._context = ray.init(address=self.ray_address, ignore_reinit_error=True)
+        self.data_execution_options.apply()
+        self.data_execution_options.apply_remote()
+        return cast(RayBaseContext, self._context)
+
+    def _get_step_key(self, context: InitResourceContext) -> str:
+        # just return a random string
+        # since we want a fresh cluster every time
+        return str(uuid.uuid4())
diff --git a/dagster_ray/config.py b/dagster_ray/config.py
new file mode 100644
index 0000000..5adb844
--- /dev/null
+++ b/dagster_ray/config.py
@@ -0,0 +1,42 @@
+from __future__ import annotations
+
+from typing import Optional
+
+import ray
+from dagster import Config
+from pydantic import Field
+from ray.data import ExecutionResources
+
+
+class ExecutionOptionsConfig(Config):
+    cpu: Optional[int] = None
+    gpu: Optional[int] = None
+    object_store_memory: Optional[int] = None
+
+
+class RayDataExecutionOptions(Config):
+    execution_options: ExecutionOptionsConfig = Field(default_factory=ExecutionOptionsConfig)
+
+    cpu_limit: int = 5000
+    gpu_limit: int = 0
+    verbose_progress: bool = True
+    use_polars: bool = True
+
+    def apply(self):
+        ctx = ray.data.DatasetContext.get_current()
+
+        ctx.execution_options.resource_limits = ExecutionResources.for_limits(
+            cpu=self.execution_options.cpu,
+            gpu=self.execution_options.gpu,
+            object_store_memory=self.execution_options.object_store_memory,
+        )
+
+        ctx.verbose_progress = self.verbose_progress
+        ctx.use_polars = self.use_polars
+
+    def apply_remote(self):
+        @ray.remote
+        def apply():
+            self.apply()
+
+        ray.get(apply.remote())
diff --git a/dagster_ray/configs.py b/dagster_ray/configs.py
deleted file mode 100644
index 049ae68..0000000
--- a/dagster_ray/configs.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from typing import List, Optional
-
-from dagster import Config
-
-
-class ContainerConfig(Config):
-    image: Optional[str] = None
-
-
-class RuntimeEnvConfig(Config):
-    working_dir: Optional[str] = None
-    pip: Optional[List[str]] = None
-    container: Optional[ContainerConfig] = None
diff --git a/dagster_ray/executor.py b/dagster_ray/executor.py
deleted file mode 100644
index bc6de21..0000000
--- a/dagster_ray/executor.py
+++ /dev/null
@@ -1,384 +0,0 @@
-# import multiprocessing
-# import os
-# import socket
-# from pathlib import Path
-# from typing import Optional, Dict, Any
-#
-# import ray
-# from dagster import Field, MetadataEntry, Noneable
-# from dagster import _check as check
-# from dagster import executor, InitExecutorContext
-# from dagster._core.errors import (
-#     DagsterExecutionInterruptedError,
-#     DagsterSubprocessError,
-# )
-# from dagster._core.events import DagsterEvent, EngineEventData
-# from dagster._core.execution.api import create_execution_plan, execute_plan_iterator
-# from dagster._core.execution.context.system import PlanOrchestrationContext
-# from dagster._core.execution.context_creation_job import create_context_free_log_manager
-# from dagster._core.execution.plan.plan import ExecutionPlan
-# from dagster._core.execution.retries import RetryMode
-# from dagster._core.executor.base import Executor
-# from dagster._core.instance import DagsterInstance
-# from dagster._utils.timing import format_duration, time_execution_scope
-# from ray import remote
-#
-#
-# RAY_TIMEOUT = 1
-#
-#
-# @remote(num_cpus=1)  # TODO configurable per step
-# class RayProcessCommand:
-#     def __init__(
-#         self,
-#         run_config,
-#         pipeline_run,
-#         instance_ref,
-#         step_key,
-#         recon_pipeline,
-#         retry_mode,
-#         known_state,
-#     ):
-#         self.run_config = run_config
-#         self.pipeline_run = pipeline_run
-#         self.instance_ref = instance_ref
-#
-#         self.step_key = step_key
-#         self.recon_pipeline = recon_pipeline
-#         self.retry_mode = retry_mode
-#         self.known_state = known_state
-#
-#         self.events = []
-#         self.execution_complete = False
-#
-#     def heartbeat(self):
-#         return True
-#
-#     def get_events(self):
-#         return self.events
-#
-#     def start(self):
-#         for event in self.execute():
-#             self.events.append(event)
-#
-#         return True
-#
-#     def next(self):
-#         if self.events:
-#             return self.events.pop(0)
-#         return None
-#
-#     def execute(self):
-#         pipeline = self.recon_pipeline
-#         with DagsterInstance.from_ref(self.instance_ref) as instance:
-#             execution_plan = create_execution_plan(
-#                 pipeline=pipeline,
-#                 run_config=self.run_config,
-#                 mode=self.pipeline_run.mode,
-#                 step_keys_to_execute=[self.step_key],
-#                 known_state=self.known_state,
-#             )
-#
-#             log_manager = create_context_free_log_manager(instance, self.pipeline_run)
-#
-#             yield DagsterEvent.step_worker_started(
-#                 log_manager,
-#                 self.pipeline_run.pipeline_name,
-#                 # TODO modify to make sense in ray context
-#                 message='Executing step "{}" in subprocess.'.format(self.step_key),
-#                 metadata_entries=[
-#                     MetadataEntry("pid", value=str(os.getpid())),
-#                 ],
-#                 step_key=self.step_key,
-#             )
-#
-#             try:
-#                 yield from execute_plan_iterator(
-#                     execution_plan,
-#                     pipeline,
-#                     self.pipeline_run,
-#                     run_config=self.run_config,
-#                     retry_mode=self.retry_mode.for_inner_plan(),
-#                     instance=instance,
-#                 )
-#             except:
-#                 raise ValueError()
-#         yield (1, 1, 1)
-#
-#
-# class RayExecutor(Executor):
-#     def __init__(
-#         self,
-#         retries: RetryMode,
-#         max_concurrent: int,
-#         resources: Optional[Dict[str, Any]] = None
-#     ):
-#         self._retries = check.inst_param(retries, "retries", RetryMode)
-#         max_concurrent = max_concurrent if max_concurrent else multiprocessing.cpu_count()  # TODO whats smart?
-#         self._max_concurrent = check.int_param(max_concurrent, "max_concurrent")
-#
-#         resources = resources if resources is not None else {}
-#         self._resources = resources.copy()
-#
-#     @property
-#     def retries(self):
-#         return self._retries
-#
-#     def execute(self, plan_context, execution_plan):
-#         check.inst_param(plan_context, "plan_context", PlanOrchestrationContext)
-#         check.inst_param(execution_plan, "execution_plan", ExecutionPlan)
-#
-#         pipeline = plan_context.reconstructable_pipeline
-#         limit = self._max_concurrent
-#         host = socket.gethostname()
-#         yield DagsterEvent.engine_event(
-#             plan_context,
-#             f"Executing steps using ray executor: driver host ({host})",
-#             ## TODO: change?
-#             event_specific_data=EngineEventData.multiprocess(
-#                 host, step_keys_to_execute=execution_plan.step_keys_to_execute
-#             ),
-#         )
-#
-#         # It would be good to implement a reference tracking algorithm here so we could
-#         # garbage collect results that are no longer needed by any steps
-#         # https://github.com/dagster-io/dagster/issues/811
-#         with time_execution_scope() as timer_result:
-#             with execution_plan.start(retry_mode=self.retries) as active_execution:
-#                 active_iters = {}
-#                 actors = {}
-#                 stopping = False
-#
-#                 while (not stopping and not active_execution.is_complete) or active_iters:
-#                     if active_execution.check_for_interrupts():
-#                         step_keys, active_actors = zip(*actors.items())
-#                         yield DagsterEvent.engine_event(
-#                             plan_context,
-#                             "Ray executor: received termination signal - " "killing all actors",
-#                             EngineEventData.interrupted(list(step_keys)),
-#                         )
-#                         stopping = True
-#                         active_execution.mark_interrupted()
-#
-#                         # cancels all active actors
-#                         def kill_actor(actor):
-#                             try:
-#                                 ray.kill(actor)
-#                             except ray.exceptions.RayActorError:
-#                                 # actor already dead
-#                                 pass
-#
-#                         list(map(kill_actor, active_actors))
-#
-#                     # start iterators
-#                     while len(active_iters) < limit and not stopping:
-#                         steps = active_execution.get_steps_to_execute(limit=(limit - len(active_iters)))
-#
-#                         if not steps:
-#                             break
-#
-#                         for step in steps:
-#                             step_context = plan_context.for_step(step)
-#                             # need max_concurrency otherwise get will block when
-#                             # when trying to fetch any events
-#                             # thread concurrency is considered experimental
-#                             # consider async
-#
-#                             actor = RayProcessCommand.options(
-#                                 max_concurrency=2,
-#                                 # num_cpus=step_context.tags
-#                                 **self._resources,
-#                             ).remote(
-#                                 run_config=step_context.run_config,
-#                                 pipeline_run=step_context.pipeline_run,
-#                                 instance_ref=step_context.instance.get_ref(),
-#                                 step_key=step.key,
-#                                 recon_pipeline=pipeline,
-#                                 retry_mode=self.retries,
-#                                 known_state=active_execution.get_known_state(),
-#                             )
-#                             # term_events[step.key] = multiproc_ctx.Event()
-#                             active_iters[step.key] = execute_step_out_of_process(actor, step_context)
-#                             actors[step.key] = actor
-#
-#                     # process active iterators
-#                     empty_iters = []
-#                     for key, step_iter in active_iters.items():
-#                         try:
-#                             event_or_none = next(step_iter)
-#                             if event_or_none is None:
-#                                 continue
-#                             else:
-#                                 yield event_or_none
-#                                 active_execution.handle_event(event_or_none)
-#
-#                         # except ChildProcessCrashException as crash:
-#                         #     serializable_error = serializable_error_info_from_exc_info(
-#                         #         sys.exc_info()
-#                         #     )
-#                         #     step_context = plan_context.for_step(
-#                         #         active_execution.get_step_by_key(key)
-#                         #     )
-#                         #     yield DagsterEvent.engine_event(
-#                         #         step_context,
-#                         #         (
-#                         #             "Multiprocess executor: child process for step {step_key} "
-#                         #             "unexpectedly exited with code {exit_code}"
-#                         #         ).format(step_key=key, exit_code=crash.exit_code),
-#                         #         EngineEventData.engine_error(serializable_error),
-#                         #     )
-#                         #     step_failure_event = DagsterEvent.step_failure_event(
-#                         #         step_context=plan_context.for_step(
-#                         #             active_execution.get_step_by_key(key)
-#                         #         ),
-#                         #         step_failure_data=StepFailureData(
-#                         #             error=serializable_error, user_failure_data=None
-#                         #         ),
-#                         #     )
-#                         #     active_execution.handle_event(step_failure_event)
-#                         #     yield step_failure_event
-#                         #     empty_iters.append(key)
-#                         except StopIteration:
-#                             # raise Exception()
-#                             empty_iters.append(key)
-#                     # clear and mark complete finished iterators
-#                     # plan_context.log.info(list(actors.keys()))
-#                     for key in empty_iters:
-#                         del active_iters[key]
-#                         del actors[key]
-#                         active_execution.verify_complete(plan_context, key)
-#
-#                     # process skipped and abandoned steps
-#                     yield from active_execution.plan_events_iterator(plan_context)
-#
-#                 # TODO: handle errors properly
-#                 errs = {actor: None for step_key, actor in active_iters.items() if not actor.heartbeat()}
-#
-#                 # After termination starts, raise an interrupted exception once all subprocesses
-#                 # have finished cleaning up (and the only errors were from being interrupted)
-#                 if (
-#                     stopping
-#                     and (not active_iters)
-#                     and all([err_info.cls_name == "DagsterExecutionInterruptedError" for err_info in errs.values()])
-#                 ):
-#                     yield DagsterEvent.engine_event(
-#                         plan_context,
-#                         "Ray executor: killed all active child processes",
-#                         event_specific_data=EngineEventData(),
-#                     )
-#                     raise DagsterExecutionInterruptedError()
-#                 elif errs:
-#                     raise DagsterSubprocessError(
-#                         "During ray execution errors occurred in actors:\n{error_list}".format(
-#                             error_list="\n".join(
-#                                 [
-#                                     "In process {pid}: {err}".format(pid=pid, err=err.to_string())
-#                                     for pid, err in errs.items()
-#                                 ]
-#                             )
-#                         ),
-#                         subprocess_error_infos=list(errs.values()),
-#                     )
-#
-#         yield DagsterEvent.engine_event(
-#             plan_context,
-#             "Ray executor: driver exiting after {duration}".format(
-#                 duration=format_duration(timer_result.millis),
-#             ),
-#             event_specific_data=EngineEventData.multiprocess(os.getpid()),
-#         )
-#
-#
-# def wait_fetch(obj):
-#     complete, _ = ray.wait([obj], timeout=0, fetch_local=True)
-#
-#     if complete:
-#         return ray.get(obj, timeout=RAY_TIMEOUT)
-#
-#     return False
-#
-#
-# def execute_step_out_of_process(actor, step_context):
-#     # engine_event
-#     # yield DagsterEvent.step_worker_starting(
-#     #     step_context,
-#     #     'Launching ray actor for "{}".'.format(step.key),
-#     #     metadata_entries=[],
-#     # )
-#     # raise Exception(command.__dir__())
-#     finished = actor.start.remote()
-#     next_ref = actor.next.remote()
-#     # ray.get(finished)
-#     while True:
-#         # check finished before getting any events
-#         # is_finished = wait_fetch(finished)
-#
-#         # will block here, not ideal
-#         # this required in case is_finished is but the next return is in flight
-#         ret = wait_fetch(next_ref)
-#
-#         # step_context.log.info(f"{ret}, {is_finished}")
-#
-#         if ret == (1, 1, 1):
-#             # with capture_interrupts():
-#             try:
-#                 # will except if the call did
-#                 _ = ray.get(finished, timeout=RAY_TIMEOUT)
-#             except (
-#                 Exception,
-#                 KeyboardInterrupt,
-#                 DagsterExecutionInterruptedError,
-#             ):
-#                 yield DagsterEvent.engine_event(
-#                     step_context,
-#                     message="interrupted",
-#                     event_specific_data=EngineEventData(),
-#                 )
-#             return
-#         if ret is None or isinstance(ret, DagsterEvent):
-#             next_ref = actor.next.remote()
-#             yield ret
-#         elif not ret:
-#             # ret is false (wait_fetch not ready)
-#             yield None
-#         else:
-#             check.failed("Unexpected return value from actor {}".format(type(ret)))
-#         # continue
-#         # try:
-#         #     # throws exception when actor is dead
-#         #     ray.get(actor.heartbeat.remote(), timeout=RAY_TIMEOUT)
-#         # except ray.exceptions.RayActorError:
-#         #     return
-#         # except ray.exceptions.GetTimeoutError:
-#         #     yield DagsterEvent.engine_event(
-#         #             step_context,
-#         #             message=f"get timed out",
-#         #             event_specific_data=EngineEventData(),
-#         #         )
-#         # raise
-#
-#
-# @executor(
-#     name="ray",
-#     config_schema=
-# )
-# def ray_executor(init_context: InitExecutorContext):
-#     """Ray-based executor."""
-#     cwd = Path(os.getcwd())
-#
-#     exc_cfg = init_context.executor_config
-#     ray_host = exc_cfg.get("host", "localhost")
-#     ray_port = exc_cfg.get("port", 10001)
-#     code_dir = exc_cfg.get("code_dir", cwd.as_posix())
-#     requirements_path = exc_cfg.get("requirements_path")
-#     max_concurrency = exc_cfg.get("max_concurrency", 10)
-#
-#     reqs = []
-#     if requirements_path is not None:
-#         reqs = Path(requirements_path).read_text().split("\n")
-#
-#     ray.init(
-#         f"ray://{ray_host}:{ray_port}", runtime_env={"working_dir": code_dir, "pip": reqs},
-#         storage=exc_cfg.get("storage")
-#     )
-#     return RayExecutor(retries=RetryMode.DISABLED, max_concurrent=max_concurrency)
diff --git a/dagster_ray/executor_2.py b/dagster_ray/executor_2.py
deleted file mode 100644
index 76d6fa3..0000000
--- a/dagster_ray/executor_2.py
+++ /dev/null
@@ -1,284 +0,0 @@
-# import os
-# from pathlib import Path
-# from typing import Iterator, List, Optional, cast, Dict, Any, Sequence
-#
-# import kubernetes.config
-# import ray
-# from dagster import (
-#     Field,
-#     IntSource,
-#     Noneable,
-#     StringSource,
-#     _check as check,
-#     executor, DagsterInstance, JobExecutionResult,
-# )
-# from dagster._core.definitions import ReconstructableJob
-# from dagster._core.definitions.executor_definition import multiple_process_executor_requirements
-# from dagster._core.definitions.metadata import MetadataValue
-# from dagster._core.events import DagsterEvent, EngineEventData
-# from dagster._core.execution.api import execute_plan_iterator, create_execution_plan, execute_plan, execute_job, \
-#     ReexecutionOptions
-# from dagster._core.execution.plan.state import KnownExecutionState
-# from dagster._core.execution.retries import RetryMode, get_retries_config
-# from dagster._core.execution.tags import get_tag_concurrency_limits_config
-# from dagster._core.executor.base import Executor
-# from dagster._core.executor.init import InitExecutorContext
-# from dagster._core.executor.step_delegating import (
-#     CheckStepHealthResult,
-#     StepDelegatingExecutor,
-#     StepHandler,
-#     StepHandlerContext,
-# )
-# from ray import ObjectRef
-# from ray.actor import ActorHandle
-# from dagster._utils.merger import merge_dicts
-#
-# USER_DEFINED_RAY_CONFIG_SCHEMA = {}
-#
-# RAY_TIMEOUT = 5.
-#
-# RAY_EXECUTOR_CONFIG_SCHEMA = {
-#         "host": Field(str, is_required=False, description="Ray Cluster host"),
-#         "port": Field(int, is_required=False, description="Ray Cluster port"),
-#         "code_dir": Field(str, is_required=False),
-#         "requirements_path": Field(str, is_required=False),
-#         "image": Field(str, default_value=os.getenv("DAGSTER_CURRENT_IMAGE"), is_required=False),
-#         "max_concurrency": Field(int, is_required=False),
-#         "storage": Field(Noneable(str), is_required=False, description="Shared storage path for Ray workers"),
-#         "resources": Field(Noneable(Dict[str, Any]),
-#         is_required=False, description="Resources to pass to Ray workers"),
-#         "retries": get_retries_config(),
-#         "max_concurrent": Field(
-#             IntSource,
-#             is_required=False,
-#             description=(
-#                 "Limit on the number of pods that will run concurrently within the scope "
-#                 "of a Dagster run. Note that this limit is per run, not global."
-#             ),
-#         ),
-#         "tag_concurrency_limits": get_tag_concurrency_limits_config(),
-#         "step_k8s_config": Field(
-#             dict,
-#             is_required=False,
-#             description="Raw Ray configuration for each step launched by the executor.",
-#         )
-# }
-#
-#
-#
-#
-# class RayStepHandler(StepHandler):
-#     @property
-#     def name(self):
-#         return "RayStepHandler"
-#
-#     def __init__(
-#         self,
-#         host: str,
-#         port: int = 6379,
-#         image: Optional[str] = None,
-#         code_dir: Optional[str] = None,
-#         requirements_path: Optional[str] = None,
-#         storage: Optional[str] = None,
-#         resources: Optional[Dict[str, Any]] = None,
-#     ):
-#         super().__init__()
-#
-#         self._image = check.str_param(image, "image")
-#         self._host = check.opt_str_param(host, "host", default="localhost")
-#         self._port = check.int_param(port, "port")
-#         self._code_dir = check.opt_str_param(code_dir, "code_dir")
-#         self._requirements_path = check.opt_str_param(requirements_path, "requirements_path")
-#         self._storage = check.opt_str_param(storage, "storage")
-#         self._resources = check.opt_dict_param(resources, "resources")
-#
-#         runtime_env = {}
-#
-#         if self._code_dir is not None:
-#             runtime_env["working_dir"] = self._code_dir
-#
-#         if self._requirements_path is not None:
-#             reqs = Path(self._requirements_path).read_text().split("\n")
-#             runtime_env["pip"] = reqs
-#
-#         if self._image is not None:
-#             runtime_env["container"] = {
-#                 "image": self._image,
-#             }
-#
-#         ray.init(
-#             address=f"ray://{host}:{port}",
-#             runtime_env=runtime_env,
-#             storage=self._storage,
-#         )
-#
-#         self.steps_refs: Dict[str, ObjectRef] = {}
-#
-#     def _get_step_key(self, step_handler_context: StepHandlerContext) -> str:
-#
-#         step_keys_to_execute = cast(
-#             List[str], step_handler_context.execute_step_args.step_keys_to_execute
-#         )
-#         assert len(step_keys_to_execute) == 1, "Launching multiple steps is not currently supported"
-#         return step_keys_to_execute[0]
-#
-#     @ray.remote
-#     def execute_on_ray(self, step_handler_context: StepHandlerContext) -> JobExecutionResult:
-#         step_key = self._get_step_key(step_handler_context)
-#         instance = step_handler_context.instance
-#         dagster_run = step_handler_context.dagster_run
-#         run_config = step_handler_context.dagster_run.run_config
-#
-#         return execute_job(
-#             job=step_handler_context._plan_context.reconstructable_job,  # noqa
-#             instance=instance,
-#             run_config=run_config,
-#             op_selection=step_handler_context.dagster_run.resolved_op_selection,
-#             reexecution_options=ReexecutionOptions(
-#                 parent_run_id=dagster_run.get_parent_run_id(),
-#                 step_selection=[step_key]
-#             ),
-#             tags=dagster_run.tags,
-#         )
-#
-#     def launch_step(self, step_handler_context: StepHandlerContext) -> Iterator[DagsterEvent]:
-#         step_key = self._get_step_key(step_handler_context)
-#         run = step_handler_context.dagster_run
-#         labels = {
-#             "dagster/job": run.job_name,
-#             "dagster/op": step_key,
-#             "dagster/run-id": step_handler_context.execute_step_args.run_id,
-#         }
-#         if run.external_job_origin:
-#             labels["dagster/code-location"] = (
-#                 run.external_job_origin.external_repository_origin.code_location_origin.location_name
-#             )
-#
-#         yield DagsterEvent.step_worker_starting(
-#             step_handler_context.get_step_context(step_key),
-#             message=f'Executing step "{step_key}" in Ray Cluster',
-#             metadata={
-#                 "uri": MetadataValue.path(f"ray://{self._host}:{self._port}"),
-#             },
-#         )
-#
-#         self.steps_refs[step_key] = self.execute_on_ray.options(num_cpus=..., num_gpus=...)
-#         .remote(step_handler_context)
-#
-#     def check_step_health(self, step_handler_context: StepHandlerContext) -> CheckStepHealthResult:
-#         step_key = self._get_step_key(step_handler_context)
-#
-#         complete, _ = ray.wait([self.steps_refs[step_key]], timeout=0, fetch_local=False)
-#
-#         if status.failed:
-#             return CheckStepHealthResult.unhealthy(
-#                 reason=f"Discovered failed Kubernetes job {job_name} for step {step_key}.",
-#             )
-#
-#         return CheckStepHealthResult.healthy()
-#
-#     def terminate_step(self, step_handler_context: StepHandlerContext) -> Iterator[DagsterEvent]:
-#         step_key = self._get_step_key(step_handler_context)
-#
-#         job_name = self._get_k8s_step_job_name(step_handler_context)
-#         container_context = self._get_container_context(step_handler_context)
-#
-#         yield DagsterEvent.engine_event(
-#             step_handler_context.get_step_context(step_key),
-#             message=f"Deleting Kubernetes job {job_name} for step",
-#             event_specific_data=EngineEventData(),
-#         )
-#
-#         self._api_client.delete_job(job_name=job_name, namespace=container_context.namespace)
-#
-#     def _wait_fetch(self, ref: ObjectRef) -> Optional[Any]:
-#         complete, _ = ray.wait([ref], timeout=0, fetch_local=True)
-#
-#         if complete:
-#             return ray.get(ref, timeout=RAY_TIMEOUT)
-#         else:
-#             return None
-#
-#     def _execute_in_ray(self, actor: ActorHandle, step_handler_context: StepHandlerContext):
-#         finished = actor.start.remote()
-#         next_ref = actor.next.remote()
-#         while True:
-#             # check finished before getting any events
-#             # is_finished = wait_fetch(finished)
-#
-#             # will block here, not ideal
-#             # this required in case is_finished is but the next return is in flight
-#             ret = self._wait_fetch(next_ref)
-#
-#             if ret == (1, 1, 1):
-#                 # with capture_interrupts():
-#                 try:
-#                     # will except if the call did
-#                     _ = ray.get(finished, timeout=RAY_TIMEOUT)
-#                 except (
-#                         Exception,
-#                         KeyboardInterrupt,
-#                         DagsterExecutionInterruptedError,
-#                 ):
-#                     yield DagsterEvent.engine_event(
-#                         step_context,
-#                         message="interrupted",
-#                         event_specific_data=EngineEventData(),
-#                     )
-#                 return
-#             if ret is None or isinstance(ret, DagsterEvent):
-#                 next_ref = actor.next.remote()
-#                 yield ret
-#             elif not ret:
-#                 # ret is false (wait_fetch not ready)
-#                 yield None
-#             else:
-#                 check.failed("Unexpected return value from actor {}".format(type(ret)))
-#             # continue
-#             # try:
-#             #     # throws exception when actor is dead
-#             #     ray.get(actor.heartbeat.remote(), timeout=RAY_TIMEOUT)
-#             # except ray.exceptions.RayActorError:
-#             #     return
-#             # except ray.exceptions.GetTimeoutError:
-#             #     yield DagsterEvent.engine_event(
-#             #             step_context,
-#             #             message=f"get timed out",
-#             #             event_specific_data=EngineEventData(),
-#             #         )
-#             # raise
-#
-#
-# @executor(
-#     name="ray",
-#     config_schema=RAY_EXECUTOR_CONFIG_SCHEMA,
-#     requirements=multiple_process_executor_requirements(),
-# )
-# def ray_executor(init_context: InitExecutorContext) -> Executor:
-#     """Executor which launches steps with Ray
-#
-#     `max_concurrent` limits the number of steps that will execute concurrently for one run. By default
-#     there is no limit- it will maximally parallel as allowed by the DAG. Note that this is not a
-#     global limit.
-#
-#     Configuration set using `tags` on a `@job` will only apply to the `run` level. For configuration
-#     to apply at each `step` it must be set using `tags` for each `@op`.
-#     """
-#     # run_launcher = (
-#     #     init_context.instance.run_launcher
-#     #     if isinstance(init_context.instance.run_launcher, K8sRunLauncher)
-#     #     else None
-#     # )
-#
-#     exc_cfg = init_context.executor_config
-#
-#     return StepDelegatingExecutor(
-#         RayStepHandler(
-#             ...
-#         ),
-#         retries=RetryMode.from_config(exc_cfg["retries"]),  # type: ignore
-#         max_concurrent=check.opt_int_elem(exc_cfg, "max_concurrent"),
-#         tag_concurrency_limits=check.opt_list_elem(exc_cfg, "tag_concurrency_limits"),
-#         should_verify_step=True,
-#     )
-#
diff --git a/dagster_ray/io_managers.py b/dagster_ray/io_managers.py
deleted file mode 100644
index 39c1635..0000000
--- a/dagster_ray/io_managers.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# import pickle
-# from typing import Any
-#
-# import ray
-#
-# from dagster import UPathIOManager, InputContext, OutputContext, InitResourceContext, ConfigurableIOManager
-# from pydantic import PrivateAttr
-# from upath import UPath
-#
-# from dagster_ray.resource import RayResource
-#
-#
-# class BaseRayIOManager(ConfigurableIOManager, UPathIOManager):
-#     base_dir: str
-#     extension: str = ".ray"
-#     ray: RayResource
-#
-#     _base_path: UPath = PrivateAttr()
-#
-#     def setup_for_execution(self, context: InitResourceContext) -> None:
-#         self._base_path = UPath(self.base_dir)
-#
-#     def dump_to_path(self, context: OutputContext, obj: Any, path: "UPath"):
-#         ref = ray.put(obj)
-#         path.write_bytes(pickle.dumps(ref))
-#
-#
-# class RayRefIOManager(BaseRayIOManager):
-#     def load_from_path(self, context: InputContext, path: "UPath") -> ray.ObjectRef:
-#         ref = pickle.loads(path.read_bytes())
-#         assert isinstance(ref, ray.ObjectRef)
-#         return ref
-#
-# #
-# # class RayIOManager(BaseRayIOManager):
-# #     def load_from_path(self, context: InputContext, path: "UPath") -> Any:
-# #         ref = pickle.loads(path.read_bytes())
-# #         return ray.get(ref)
diff --git a/dagster_ray/kuberay/__init__.py b/dagster_ray/kuberay/__init__.py
new file mode 100644
index 0000000..05a07ad
--- /dev/null
+++ b/dagster_ray/kuberay/__init__.py
@@ -0,0 +1,3 @@
+from dagster_ray.kuberay.resources import KubeRayCluster
+
+__all__ = ["KubeRayCluster"]
diff --git a/dagster_ray/kuberay/jobs.py b/dagster_ray/kuberay/jobs.py
new file mode 100644
index 0000000..e69de29
diff --git a/dagster_ray/kuberay/ops.py b/dagster_ray/kuberay/ops.py
new file mode 100644
index 0000000..3c32745
--- /dev/null
+++ b/dagster_ray/kuberay/ops.py
@@ -0,0 +1,23 @@
+# from typing import List
+#
+# from dagster import Config, OpExecutionContext, op
+#
+#
+#
+# class DeleteRayClustersConfig(Config):
+#     cluster_names: List[str]
+#     namespace: str = "ray"
+#
+#
+# @op(description="Deletes RayClusters from Kubernetes")
+# def delete_ray_clusters_op(context: OpExecutionContext, config: DeleteRayClustersConfig) -> None:
+#     for cluster_name in config.cluster_names:
+#         try:
+#             if check_exists(cluster_name, namespace=config.namespace):
+#                 stop(cluster_name, namespace=config.namespace)
+#                 context.log.info(f"RayCluster {cluster_name} deleted")
+#             else:
+#                 context.log.debug(f"RayCluster {cluster_name} doesn't exist")
+#         except Exception as e:  # noqa
+#             context.log.error(f"Couldn't delete RayCluster {cluster_name}")
+#             context.log.exception(str(e))
diff --git a/dagster_ray/kuberay/ray_cluster_api.py b/dagster_ray/kuberay/ray_cluster_api.py
new file mode 100644
index 0000000..6eb5643
--- /dev/null
+++ b/dagster_ray/kuberay/ray_cluster_api.py
@@ -0,0 +1,50 @@
+import time
+from typing import Any, Optional
+
+from kubernetes import client, config
+from kubernetes.client import ApiException
+from python_client import constants
+from python_client.kuberay_cluster_api import RayClusterApi, log
+
+
+class PatchedRayClusterApi(RayClusterApi):
+    """
+    List of modifications to the original RayClusterApi:
+     - allow passing config_file and context to __init__\
+     - fixed get_ray_cluster_status hard-querying 'status' field which is not always present
+    """
+
+    def __init__(self, config_file: Optional[str], context: Optional[str] = None):
+        self.kube_config: Optional[Any] = config.load_kube_config(config_file=config_file, context=context)
+        self.api = client.CustomObjectsApi()
+        self.core_v1_api = client.CoreV1Api()
+
+    def get_ray_cluster_status(
+        self, name: str, k8s_namespace: str = "default", timeout: int = 60, delay_between_attempts: int = 5
+    ) -> Any:
+        while timeout > 0:
+            try:
+                resource: Any = self.api.get_namespaced_custom_object_status(
+                    group=constants.GROUP,
+                    version=constants.VERSION,
+                    plural=constants.PLURAL,
+                    name=name,
+                    namespace=k8s_namespace,
+                )
+            except ApiException as e:
+                if e.status == 404:
+                    log.error("raycluster resource is not found. error = {}".format(e))
+                    return None
+                else:
+                    log.error("error fetching custom resource: {}".format(e))
+                    return None
+
+            if resource.get("status"):  # <- fixed here, was ["status"]
+                return resource["status"]
+            else:
+                log.info("raycluster {} status not set yet, waiting...".format(name))
+                time.sleep(delay_between_attempts)
+                timeout -= delay_between_attempts
+
+        log.info("raycluster {} status not set yet, timing out...".format(name))
+        return None
diff --git a/dagster_ray/kuberay/resources.py b/dagster_ray/kuberay/resources.py
new file mode 100644
index 0000000..090536e
--- /dev/null
+++ b/dagster_ray/kuberay/resources.py
@@ -0,0 +1,401 @@
+import contextlib
+import hashlib
+import os
+import random
+import re
+import string
+import sys
+from typing import Any, Dict, Generator, List, Optional, cast
+
+import dagster._check as check
+from dagster import InitResourceContext
+from kubernetes import client, config, watch
+from pydantic import Field, PrivateAttr
+
+# yes, `python-client` is actually the KubeRay package name
+# https://github.com/ray-project/kuberay/issues/2078
+from python_client import kuberay_cluster_api
+
+from dagster_ray.kuberay.ray_cluster_api import PatchedRayClusterApi
+
+if sys.version_info >= (3, 11):
+    from typing import Self
+else:
+    from typing_extensions import Self
+
+from dagster import Config, DagsterRun, DagsterRunStatus
+from ray._private.worker import BaseContext as RayBaseContext  # noqa
+
+from dagster_ray._base.resources import BaseRayResource
+
+in_k8s = os.environ.get("KUBERNETES_SERVICE_HOST") is not None
+IS_PROD = os.getenv("DAGSTER_CLOUD_DEPLOYMENT_NAME") == "prod"
+
+DEFAULT_AUTOSCALER_OPTIONS = {
+    "upscalingMode": "Default",
+    "idleTimeoutSeconds": 60,
+    "env": [],
+    "envFrom": [],
+    "resources": {
+        "limits": {"cpu": "1000m", "memory": "1Gi"},
+        "requests": {"cpu": "1000m", "memory": "1Gi"},
+    },
+}
+
+DEFAULT_HEAD_GROUP_SPEC = {
+    "serviceType": "ClusterIP",
+    "rayStartParams": {"dashboard-host": "0.0.0.0"},
+    "metadata": {
+        "labels": {},
+        "annotations": {},
+    },
+    "template": {
+        "spec": {
+            "imagePullSecrets": [],
+            "containers": [
+                {
+                    "volumeMounts": [
+                        {"mountPath": "/tmp/ray", "name": "log-volume"},
+                    ],
+                    "name": "head",
+                    "imagePullPolicy": "Always",
+                },
+            ],
+            "volumes": [
+                {"name": "log-volume", "emptyDir": {}},
+            ],
+            "affinity": {},
+            "tolerations": [],
+            "nodeSelector": {},
+        },
+    },
+}
+#
+#
+# class WorkerGroupSpecConfig(Config):
+#     imagePullSecrets: List[Dict[str, Any]] = []
+#     containers: List[Dict[str, Any]] = [{
+#                                     "volumeMounts": [
+#                                         {"mountPath": "/tmp/ray", "name": "log-volume"},
+#                                     ],
+#                                     "name": "worker",
+#                                 }]
+#     volumes: List[Dict[str, Any]] = []
+#     affinity: Dict[str, Any] = {}
+#     tolerations: List[Dict[str, Any]] = []
+#     nodeSelector: Dict[str, Any] = {}
+#
+#
+#
+# class WorkerGroupTemplateConfig(Config):
+#     spec: WorkerGroupSpecConfig = WorkerGroupSpecConfig()
+#
+#
+# class WorkerGroupConfig(Config):
+#     template: WorkerGroupTemplateConfig = WorkerGroupTemplateConfig()
+#
+# class HeadGroupConfig(Config):
+#     serviceType: str = "ClusterIP"
+#     rayStartParams: Dict[str, Any] = {"dashboard-host": "0.0.0.0"}
+#     template: GroupTemplateConfig = GroupTemplateConfig()
+
+
+DEFAULT_WORKER_GROUP_SPECS = [
+    {
+        "groupName": "workers",
+        "rayStartParams": {},
+        "template": {
+            "metadata": {"labels": {}, "annotations": {}},
+            "spec": {
+                "imagePullSecrets": [],
+                "containers": [
+                    {
+                        "volumeMounts": [
+                            {"mountPath": "/tmp/ray", "name": "log-volume"},
+                        ],
+                        "name": "worker",
+                        "imagePullPolicy": "Always",
+                    }
+                ],
+                "volumes": [
+                    {"name": "log-volume", "emptyDir": {}},
+                ],
+                "affinity": {},
+                "tolerations": [],
+                "nodeSelector": {},
+            },
+        },
+    }
+]
+
+
+class RayClusterConfig(Config):
+    image: Optional[str] = None
+    namespace: str = "kuberay"
+    enable_in_tree_autoscaling: bool = False
+    autoscaler_options: Dict[str, Any] = DEFAULT_AUTOSCALER_OPTIONS  # TODO: add a dedicated Config type
+    head_group_spec: Dict[str, Any] = DEFAULT_HEAD_GROUP_SPEC  # TODO: add a dedicated Config type
+    worker_group_specs: List[Dict[str, Any]] = DEFAULT_WORKER_GROUP_SPECS  # TODO: add a dedicated Config type
+
+
+DEFAULT_CLUSTER_NAME_PREFIX = (
+    os.getenv("DAGSTER_CLOUD_DEPLOYMENT_NAME")
+    if os.getenv("DAGSTER_CLOUD_IS_BRANCH_DEPLOYMENT") == "0"
+    else os.getenv("DAGSTER_CLOUD_GIT_BRANCH")
+)
+DEFAULT_CLUSTER_NAME_PREFIX = DEFAULT_CLUSTER_NAME_PREFIX or "dev"
+
+
+class KubeRayCluster(BaseRayResource):
+    """
+    Provides a RayCluster for the current step selection
+    The cluster is automatically deleted after steps execution
+    """
+
+    cluster_name_prefix: str = Field(
+        default=DEFAULT_CLUSTER_NAME_PREFIX,
+        description="Prefix for the RayCluster name. It's recommended to match it with the Dagster deployment name. Dagster Cloud variables are used for the default value.",
+    )
+    ray_cluster: RayClusterConfig = Field(default_factory=RayClusterConfig)
+    disable_cluster_cleanup: bool = False
+    skip_init: bool = False
+
+    kubeconfig_file: Optional[str] = None
+
+    _cluster_name: str = PrivateAttr()
+    _host: str = PrivateAttr()
+    _kuberay_api: PatchedRayClusterApi = PrivateAttr()
+    _k8s_api: client.CustomObjectsApi = PrivateAttr()
+    _k8s_core_api: client.CoreV1Api = PrivateAttr()
+
+    @property
+    def host(self) -> str:
+        if self._host is None:
+            raise ValueError("RayClusterResource not initialized")
+        return self._host
+
+    @property
+    def namespace(self) -> str:
+        return self.ray_cluster.namespace  # TODO: add namespace auto-creation logic
+
+    @property
+    def cluster_name(self) -> str:
+        if self._cluster_name is None:
+            raise ValueError("RayClusterResource not initialized")
+        return self._cluster_name
+
+    @property
+    def kuberay_api(self) -> kuberay_cluster_api.RayClusterApi:
+        if self._kuberay_api is None:
+            raise ValueError("RayClusterResource not initialized")
+        return self._kuberay_api
+
+    @property
+    def k8s_api(self) -> client.CustomObjectsApi:
+        if self._k8s_api is None:
+            raise ValueError("RayClusterResource not initialized")
+        return self._k8s_api
+
+    @contextlib.contextmanager
+    def yield_for_execution(self, context: InitResourceContext) -> Generator[Self, None, None]:
+        assert context.log is not None
+        assert context.dagster_run is not None
+
+        self._load_kubeconfig(self.kubeconfig_file)
+
+        self._kuberay_api = PatchedRayClusterApi(config_file=self.kubeconfig_file)
+        self._k8s_api = client.CustomObjectsApi()
+        self._k8s_core_api = client.CoreV1Api()
+
+        self._cluster_name = self._get_ray_cluster_step_name(context)
+
+        # self._host = f"{self.cluster_name}-head-svc.{self.namespace}.svc.cluster.local"
+
+        try:
+            # just a safety measure, no need to recreate the cluster for step retries or smth
+            if not self.kuberay_api.list_ray_clusters(
+                k8s_namespace=self.namespace,
+                label_selector=f"dagster.io/cluster={self.cluster_name}",
+            )["items"]:
+                cluster_body = self._build_raycluster(
+                    image=(self.ray_cluster.image or context.dagster_run.tags["dagster/image"]),
+                    labels={
+                        "dagster.io/run_id": cast(str, context.run_id),
+                        "dagster.io/cluster": self.cluster_name,
+                        # TODO: add more labels
+                    },
+                )
+
+                self.kuberay_api.create_ray_cluster(body=cluster_body, k8s_namespace=self.namespace)
+                context.log.info(
+                    f"Created RayCluster {self.namespace}/{self.cluster_name}. Waiting for it to become ready..."
+                )
+
+                self._wait_raycluster_ready()
+
+                # TODO: currently this will only work from withing the cluster
+                # find a way to make it work from outside
+                # probably would need a LoadBalancer/Ingress
+                self._host = self.kuberay_api.get_ray_cluster(name=self.cluster_name, k8s_namespace=self.namespace)[
+                    "status"
+                ]["head"]["serviceIP"]
+
+                context.log.info("RayCluster is ready! Connection command:")
+
+                context.log.info(
+                    f"`kubectl -n {self.namespace} port-forward svc/{self.cluster_name}-head-svc 8265:8265 6379:6379 10001:10001`"
+                )
+
+            context.log.debug(f"Ray host: {self.host}")
+
+            if not self.skip_init:
+                self.init_ray()
+                context.log.info("Initialized Ray!")
+            else:
+                self._context = None
+
+            yield self
+        except Exception as e:
+            context.log.critical("Couldn't create or connect to RayCluster!")
+            self._maybe_cleanup_raycluster(context)
+            raise e
+
+        self._maybe_cleanup_raycluster(context)
+        if self._context is not None:
+            self._context.disconnect()
+
+    def _build_raycluster(
+        self,
+        image: str,
+        labels: Optional[Dict[str, str]] = None,  # TODO: use in RayCluster labels
+    ) -> Dict[str, Any]:
+        """
+        Builds a RayCluster from the provided configuration, while injecting custom image and labels (only known during resource setup)
+        """
+        # TODO: inject self.redis_port and self.dashboard_port into the RayCluster configuration
+
+        image = self.ray_cluster.image or image
+        head_group_spec = self.ray_cluster.head_group_spec.copy()
+        worker_group_specs = self.ray_cluster.worker_group_specs.copy()
+
+        def update_group_spec(group_spec: Dict[str, Any]):
+            # TODO: only inject if the container has a `dagster.io/inject-image` annotation or smth
+            if group_spec["template"]["spec"]["containers"][0].get("image") is None:
+                group_spec["template"]["spec"]["containers"][0]["image"] = image
+
+            if group_spec.get("metadata") is None:
+                group_spec["metadata"] = {"labels": labels or {}}
+            else:
+                if group_spec["metadata"].get("labels") is None:
+                    group_spec["metadata"]["labels"] = labels or {}
+                else:
+                    group_spec["metadata"]["labels"].update(labels or {})
+
+        update_group_spec(head_group_spec)
+        for worker_group_spec in worker_group_specs:
+            update_group_spec(worker_group_spec)
+
+        return {
+            "apiVersion": "ray.io/v1alpha1",
+            "kind": "RayCluster",
+            "metadata": {
+                "name": self.cluster_name,
+                "labels": labels or {},
+            },
+            "spec": {
+                "enableInTreeAutoscaling": self.ray_cluster.enable_in_tree_autoscaling,
+                "autoscalerOptions": self.ray_cluster.autoscaler_options,
+                "headGroupSpec": head_group_spec,
+                "workerGroupSpecs": worker_group_specs,
+            },
+        }
+
+    def _wait_raycluster_ready(self):
+        if not self.kuberay_api.wait_until_ray_cluster_running(self.cluster_name, k8s_namespace=self.namespace):
+            status = self.kuberay_api.get_ray_cluster_status(self.cluster_name, k8s_namespace=self.namespace)
+            raise Exception(f"RayCluster {self.namespace}/{self.cluster_name} failed to start: {status}")
+
+        # the above code only checks for RayCluster creation
+        # not for head pod readiness
+
+        w = watch.Watch()
+        for event in w.stream(
+            func=self._k8s_core_api.list_namespaced_pod,
+            namespace=self.namespace,
+            label_selector=f"ray.io/cluster={self.cluster_name},ray.io/group=headgroup",
+            timeout_seconds=60,
+        ):
+            if event["object"].status.phase == "Running":  # type: ignore
+                w.stop()
+                return
+            # event.type: ADDED, MODIFIED, DELETED
+            if event["type"] == "DELETED":  # type: ignore
+                # Pod was deleted while we were waiting for it to start.
+                w.stop()
+                return
+
+    def _maybe_cleanup_raycluster(self, context: InitResourceContext):
+        assert context.log is not None
+
+        if (
+            not self.disable_cluster_cleanup
+            and cast(DagsterRun, context.dagster_run).status != DagsterRunStatus.FAILURE
+        ):
+            self.kuberay_api.delete_ray_cluster(self.cluster_name, k8s_namespace=self.namespace)
+            context.log.info(f"Deleted RayCluster {self.namespace}/{self.cluster_name}")
+        else:
+            context.log.warning(
+                f"Skipping RayCluster {self.cluster_name} deletion because `disable_cluster_cleanup` "
+                f"config parameter is set to `True` or the run failed. "
+                f"It may be still be deleted by the automatic cleanup job."
+            )
+
+    def _get_ray_cluster_step_name(self, context: InitResourceContext) -> str:
+        assert isinstance(context.run_id, str)
+        assert context.dagster_run is not None
+
+        # try to make the name as short as possible
+
+        cluster_name_prefix = f"dr-{self.cluster_name_prefix.replace('-', '')[:8]}-{context.run_id[:8]}"
+
+        dagster_user_email = context.dagster_run.tags.get("user")
+        if dagster_user_email is not None:
+            cluster_name_prefix += f"-{dagster_user_email.replace('.', '').replace('-', '').split('@')[0][:6]}"
+
+        step_key = self._get_step_key(context)
+
+        name_key = get_k8s_object_name(
+            context.run_id,
+            step_key,
+        )
+
+        step_name = f"{cluster_name_prefix}-{name_key}".lower()
+        step_name = re.sub(r"[^-0-9a-z]", "-", step_name)
+
+        return step_name
+
+    @staticmethod
+    def _load_kubeconfig(kubeconfig_file: Optional[str] = None):
+        try:
+            config.load_kube_config(config_file=kubeconfig_file)
+        except config.config_exception.ConfigException:
+            config.load_incluster_config()
+
+
+def get_k8s_object_name(run_id: str, step_key: Optional[str] = None):
+    """Creates a unique (short!) identifier to name k8s objects based on run ID and step key(s).
+
+    K8s Job names are limited to 63 characters, because they are used as labels. For more info, see:
+
+    https://kubernetes.io/docs/concepts/overview/working-with-objects/names/
+    """
+    check.str_param(run_id, "run_id")
+    check.opt_str_param(step_key, "step_key")
+    if not step_key:
+        letters = string.ascii_lowercase
+        step_key = "".join(random.choice(letters) for i in range(20))
+
+    # Creates 32-bit signed int, so could be negative
+    name_hash = hashlib.md5((run_id + step_key).encode("utf-8"))
+
+    return name_hash.hexdigest()[:8]
diff --git a/dagster_ray/kuberay/schedules.py b/dagster_ray/kuberay/schedules.py
new file mode 100644
index 0000000..0180b84
--- /dev/null
+++ b/dagster_ray/kuberay/schedules.py
@@ -0,0 +1,51 @@
+# from dagster import (
+#     DagsterRunStatus,
+#     RunConfig,
+#     RunRequest,
+#     RunsFilter,
+#     ScheduleEvaluationContext,
+#     SkipReason,
+#     schedule,
+# )
+#
+#
+# @schedule(
+#     job=delete_ray_clusters,
+#     cron_schedule="0 * * * *",
+#     description="Deletes old KubeRay cluster created by Dagster which don't correspond to any current Runs",
+# )
+# def cleanup_old_kuberay_clusters(context: ScheduleEvaluationContext):
+#     current_runs = context.instance.get_runs(
+#         filters=RunsFilter(
+#             statuses=[
+#                 DagsterRunStatus.STARTED,
+#                 DagsterRunStatus.QUEUED,
+#                 DagsterRunStatus.CANCELING,
+#             ]
+#         )
+#     )
+#     deployed_names = list_deployed_names()
+#
+#     dangling_cluster_names = []
+#
+#     for cluster_name in deployed_names:
+#         if cluster_name.startswith("dagster-run-"):
+#             dagster_short_run_id = cluster_name.split("-")[2]
+#
+#             is_dangling = True
+#             for run in current_runs:
+#                 if run.run_id.startswith(dagster_short_run_id):
+#                     is_dangling = False
+#
+#             if is_dangling:
+#                 dangling_cluster_names.append(cluster_name)
+#
+#     if len(dangling_cluster_names) > 0:
+#         return RunRequest(
+#             run_key=None,
+#             run_config=RunConfig(
+#                 ops={"delete_ray_clusters_op": DeleteRayClustersConfig(cluster_names=dangling_cluster_names)}
+#             ),
+#         )
+#     else:
+#         return SkipReason(skip_message="No dangling RayClusters were found")
diff --git a/dagster_ray/local/__init__.py b/dagster_ray/local/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/dagster_ray/local/resources.py b/dagster_ray/local/resources.py
new file mode 100644
index 0000000..a997f43
--- /dev/null
+++ b/dagster_ray/local/resources.py
@@ -0,0 +1,45 @@
+import contextlib
+import sys
+from typing import Generator
+
+from dagster import InitResourceContext
+
+# yes, `python-client` is actually the KubeRay package name
+# https://github.com/ray-project/kuberay/issues/2078
+
+
+if sys.version_info >= (3, 11):
+    from typing import Self
+else:
+    from typing_extensions import Self
+
+from ray._private.worker import BaseContext as RayBaseContext  # noqa
+
+from dagster_ray._base.resources import BaseRayResource
+
+
+class LocalRay(BaseRayResource):
+    """
+    Dummy Resource.
+    Is useful for testing and local development.
+    Provides the same interface as actual Resources.
+    """
+
+    @property
+    def host(self) -> str:
+        return "127.0.0.1"
+
+    @contextlib.contextmanager
+    def yield_for_execution(self, context: InitResourceContext) -> Generator[Self, None, None]:
+        assert context.log is not None
+        assert context.dagster_run is not None
+
+        context.log.debug(f"Ray host: {self.host}")
+
+        self.init_ray()
+        context.log.info("Initialized Ray!")
+
+        yield self
+
+        if self._context is not None:
+            self._context.disconnect()
diff --git a/dagster_ray/resource.py b/dagster_ray/resource.py
deleted file mode 100644
index 1657c23..0000000
--- a/dagster_ray/resource.py
+++ /dev/null
@@ -1,55 +0,0 @@
-from __future__ import annotations
-
-from contextlib import contextmanager
-from typing import Generator, Optional
-
-import ray
-from dagster import ConfigurableResource, InitResourceContext
-
-from dagster_ray.configs import RuntimeEnvConfig
-
-
-class RayResource(ConfigurableResource):
-    """
-    A resource that provides access to the Ray cluster.
-    """
-
-    address: Optional[str]
-    local: bool = False
-    runtime_env: Optional[RuntimeEnvConfig] = None
-    storage: Optional[str] = None
-    # todo: add requirements_path
-
-    @contextmanager
-    def yield_for_execution(self, context: InitResourceContext) -> Generator[RayResource, None, None]:
-        """
-        Setups Ray and yields the resource.
-        Warning: this will shutdown the Ray process after execution.
-        """
-
-        # raise RuntimeError()
-        assert context.log is not None
-
-        if self.runtime_env is not None:
-            runtime_env = self.runtime_env.dict()
-        else:
-            runtime_env = {}
-
-        if runtime_env.get("container") is not None and runtime_env["container"].get("image") is None:
-            assert context.dagster_run is not None
-            runtime_env["container"]["image"] = context.dagster_run.tags.get("dagster/image")
-
-        ray.init(
-            self.address,
-            runtime_env=runtime_env,
-            storage=self.storage,
-        )
-        if self.address is not None:
-            context.log.info(f"Connected to Ray Cluster at {self.address}")
-
-        yield self
-
-        ray.shutdown()
-
-
-RAY_RESOURCE_CONFIG_SCHEMA = RayResource.to_fields_dict()
diff --git a/poetry.lock b/poetry.lock
index 03bbead..a35a05d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,114 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.9.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "aiohttp-3.9.5.tar.gz", hash = "sha256:edea7d15772ceeb29db4aff55e482d4bcfb6ae160ce144f2682de02f6d693551"},
+]
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
+
+[[package]]
+name = "aiohttp-cors"
+version = "0.7.0"
+description = "CORS support for aiohttp"
+optional = false
+python-versions = "*"
+files = [
+    {file = "aiohttp-cors-0.7.0.tar.gz", hash = "sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d"},
+    {file = "aiohttp_cors-0.7.0-py3-none-any.whl", hash = "sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e"},
+]
+
+[package.dependencies]
+aiohttp = ">=1.1"
 
 [[package]]
 name = "aiosignal"
@@ -70,6 +180,17 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
 test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (>=0.22)"]
 
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+]
+
 [[package]]
 name = "attrs"
 version = "23.1.0"
@@ -99,52 +220,6 @@ files = [
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
 
-[[package]]
-name = "black"
-version = "23.7.0"
-description = "The uncompromising code formatter."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "black-23.7.0-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:5c4bc552ab52f6c1c506ccae05681fab58c3f72d59ae6e6639e8885e94fe2587"},
-    {file = "black-23.7.0-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:552513d5cd5694590d7ef6f46e1767a4df9af168d449ff767b13b084c020e63f"},
-    {file = "black-23.7.0-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:86cee259349b4448adb4ef9b204bb4467aae74a386bce85d56ba4f5dc0da27be"},
-    {file = "black-23.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:501387a9edcb75d7ae8a4412bb8749900386eaef258f1aefab18adddea1936bc"},
-    {file = "black-23.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:fb074d8b213749fa1d077d630db0d5f8cc3b2ae63587ad4116e8a436e9bbe995"},
-    {file = "black-23.7.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:b5b0ee6d96b345a8b420100b7d71ebfdd19fab5e8301aff48ec270042cd40ac2"},
-    {file = "black-23.7.0-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:893695a76b140881531062d48476ebe4a48f5d1e9388177e175d76234ca247cd"},
-    {file = "black-23.7.0-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:c333286dc3ddca6fdff74670b911cccedacb4ef0a60b34e491b8a67c833b343a"},
-    {file = "black-23.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:831d8f54c3a8c8cf55f64d0422ee875eecac26f5f649fb6c1df65316b67c8926"},
-    {file = "black-23.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:7f3bf2dec7d541b4619b8ce526bda74a6b0bffc480a163fed32eb8b3c9aed8ad"},
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-    {file = "black-23.7.0-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:327a8c2550ddc573b51e2c352adb88143464bb9d92c10416feb86b0f5aee5ff6"},
-    {file = "black-23.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d1c6022b86f83b632d06f2b02774134def5d4d4f1dac8bef16d90cda18ba28a"},
-    {file = "black-23.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:27eb7a0c71604d5de083757fbdb245b1a4fae60e9596514c6ec497eb63f95320"},
-    {file = "black-23.7.0-cp39-cp39-macosx_10_16_arm64.whl", hash = "sha256:8417dbd2f57b5701492cd46edcecc4f9208dc75529bcf76c514864e48da867d9"},
-    {file = "black-23.7.0-cp39-cp39-macosx_10_16_universal2.whl", hash = "sha256:47e56d83aad53ca140da0af87678fb38e44fd6bc0af71eebab2d1f59b1acf1d3"},
-    {file = "black-23.7.0-cp39-cp39-macosx_10_16_x86_64.whl", hash = "sha256:25cc308838fe71f7065df53aedd20327969d05671bac95b38fdf37ebe70ac087"},
-    {file = "black-23.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:642496b675095d423f9b8448243336f8ec71c9d4d57ec17bf795b67f08132a91"},
-    {file = "black-23.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:ad0014efc7acf0bd745792bd0d8857413652979200ab924fbf239062adc12491"},
-    {file = "black-23.7.0-py3-none-any.whl", hash = "sha256:9fd59d418c60c0348505f2ddf9609c1e1de8e7493eab96198fc89d9f865e7a96"},
-    {file = "black-23.7.0.tar.gz", hash = "sha256:022a582720b0d9480ed82576c920a8c1dde97cc38ff11d8d8859b3bd6ca9eedb"},
-]
-
-[package.dependencies]
-click = ">=8.0.0"
-mypy-extensions = ">=0.4.3"
-packaging = ">=22.0"
-pathspec = ">=0.9.0"
-platformdirs = ">=2"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
-jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-uvloop = ["uvloop (>=0.15.2)"]
-
 [[package]]
 name = "cachetools"
 version = "5.3.1"
@@ -178,17 +253,6 @@ files = [
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]
 
-[[package]]
-name = "chardet"
-version = "5.2.0"
-description = "Universal encoding detector for Python 3"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
-    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
-]
-
 [[package]]
 name = "charset-normalizer"
 version = "3.2.0"
@@ -287,6 +351,17 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
+    {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -315,6 +390,20 @@ humanfriendly = ">=7.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
+[[package]]
+name = "colorful"
+version = "0.5.6"
+description = "Terminal string styling done right, in Python."
+optional = false
+python-versions = "*"
+files = [
+    {file = "colorful-0.5.6-py2.py3-none-any.whl", hash = "sha256:eab8c1c809f5025ad2b5238a50bd691e26850da8cac8f90d660ede6ea1af9f1e"},
+    {file = "colorful-0.5.6.tar.gz", hash = "sha256:b56d5c01db1dac4898308ea889edcb113fbee3e6ec5df4bacffd61d5241b5b8d"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "croniter"
 version = "1.4.1"
@@ -331,31 +420,31 @@ python-dateutil = "*"
 
 [[package]]
 name = "dagit"
-version = "1.4.10"
+version = "1.7.1"
 description = "Web UI for dagster."
 optional = false
-python-versions = "*"
+python-versions = "<3.13,>=3.8"
 files = [
-    {file = "dagit-1.4.10-py3-none-any.whl", hash = "sha256:8d12821aa3f76f892cc61ce64b2d8ddff571d52af9d05b497f53de4a95bc75e4"},
-    {file = "dagit-1.4.10.tar.gz", hash = "sha256:dd36946682b2737f57635803baa59553fb223c01ed4ccd1db227ab85671895d6"},
+    {file = "dagit-1.7.1-py3-none-any.whl", hash = "sha256:31638da09d7ab4efe4d62319f9674b6af82fcf8ccf3c1f867ac80479c11238e1"},
+    {file = "dagit-1.7.1.tar.gz", hash = "sha256:59881bc4f6583d30d1fa9e0d6eb5f0e3eda3acdc889103434d89645e66a1d88d"},
 ]
 
 [package.dependencies]
-dagster-webserver = "1.4.10"
+dagster-webserver = "1.7.1"
 
 [package.extras]
-notebook = ["dagster-webserver[notebook] (==1.4.10)"]
-test = ["dagster-webserver[test] (==1.4.10)"]
+notebook = ["dagster-webserver[notebook] (==1.7.1)"]
+test = ["dagster-webserver[test] (==1.7.1)"]
 
 [[package]]
 name = "dagster"
-version = "1.4.10"
+version = "1.7.1"
 description = "Dagster is an orchestration platform for the development, production, and observation of data assets."
 optional = false
-python-versions = "*"
+python-versions = "<3.13,>=3.8"
 files = [
-    {file = "dagster-1.4.10-py3-none-any.whl", hash = "sha256:342a0e15fd2b23357957a1cca2f56c66f18f9a2211bd843d8c47ac0415a54a83"},
-    {file = "dagster-1.4.10.tar.gz", hash = "sha256:026705e7d235ca4a8774d3e5f2da09b112bb6827e09a002efd299d9009cc940f"},
+    {file = "dagster-1.7.1-py3-none-any.whl", hash = "sha256:fa69b137f0db14279bca0c7831a352032148dd44a68c7de5004c59206a08f73d"},
+    {file = "dagster-1.7.1.tar.gz", hash = "sha256:f5a947f582f93c1d85b4ce6d80c6365d9d97a248e54fb6822fc3b785e5d0e820"},
 ]
 
 [package.dependencies]
@@ -363,89 +452,96 @@ alembic = ">=1.2.1,<1.6.3 || >1.6.3,<1.7.0 || >1.7.0,<1.11.0 || >1.11.0"
 click = ">=5.0"
 coloredlogs = ">=6.1,<=14.0"
 croniter = ">=0.3.34"
+dagster-pipes = "1.7.1"
 docstring-parser = "*"
 grpcio = ">=1.44.0"
 grpcio-health-checking = ">=1.44.0"
 Jinja2 = "*"
 packaging = ">=20.9"
-pendulum = "*"
-protobuf = ">=3.20.0"
+pendulum = [
+    {version = ">=0.7.0,<3", markers = "python_version < \"3.9\""},
+    {version = ">=0.7.0,<4", markers = "python_version >= \"3.9\" and python_version < \"3.12\""},
+    {version = ">=3,<4", markers = "python_version >= \"3.12\""},
+]
+protobuf = [
+    {version = ">=3.20.0,<5", markers = "python_version < \"3.11\""},
+    {version = ">=4,<5", markers = "python_version >= \"3.11\""},
+]
 psutil = {version = ">=1.0", markers = "platform_system == \"Windows\""}
-pydantic = "<1.10.7 || >1.10.7,<2.0.0"
+pydantic = ">1.10.0,<1.10.7 || >1.10.7,<3"
 python-dateutil = "*"
 python-dotenv = "*"
 pytz = "*"
 pywin32 = {version = "!=226", markers = "platform_system == \"Windows\""}
 PyYAML = ">=5.1"
 requests = "*"
+rich = "*"
 setuptools = "*"
-sqlalchemy = ">=1.0"
+sqlalchemy = ">=1.0,<3"
+structlog = "*"
 tabulate = "*"
-tomli = "*"
+tomli = "<3"
 toposort = ">=1.0"
-tqdm = "*"
-typing-extensions = ">=4.4.0"
-universal-pathlib = "*"
+tqdm = "<5"
+typing-extensions = ">=4.4.0,<5"
+universal-pathlib = [
+    {version = "*", markers = "python_version < \"3.12\""},
+    {version = ">=0.2.0", markers = "python_version >= \"3.12\""},
+]
 watchdog = ">=0.8.3"
 
 [package.extras]
-black = ["black[jupyter] (==23.7.0)"]
 docker = ["docker"]
-mypy = ["mypy (==0.991)"]
-pyright = ["pandas-stubs", "pyright (==1.1.316)", "types-PyYAML", "types-backports", "types-certifi", "types-chardet", "types-croniter", "types-cryptography", "types-mock", "types-paramiko", "types-pkg-resources", "types-pyOpenSSL", "types-python-dateutil", "types-pytz", "types-requests", "types-simplejson", "types-six", "types-sqlalchemy (==1.4.53.34)", "types-tabulate", "types-toml", "types-tzlocal"]
-ruff = ["ruff (==0.0.277)"]
-test = ["buildkite-test-collector", "docker", "grpcio-tools (>=1.44.0)", "mock (==3.0.5)", "morefs[asynclocal]", "objgraph", "pytest (==7.0.1)", "pytest-cov (==2.10.1)", "pytest-dependency (==0.5.1)", "pytest-mock (==3.3.1)", "pytest-rerunfailures (==10.0)", "pytest-runner (==5.2)", "pytest-xdist (==2.1.0)", "responses (<=0.23.1)", "syrupy (<4)", "tox (==3.25.0)", "yamllint"]
+mypy = ["mypy (==1.8.0)"]
+pyright = ["pandas-stubs", "pyright (==1.1.356)", "types-PyYAML", "types-backports", "types-certifi", "types-chardet", "types-croniter", "types-cryptography", "types-mock", "types-paramiko", "types-pkg-resources", "types-pyOpenSSL", "types-python-dateutil", "types-pytz", "types-requests", "types-simplejson", "types-six", "types-sqlalchemy (==1.4.53.34)", "types-tabulate", "types-toml", "types-tzlocal"]
+ruff = ["ruff (==0.3.4)"]
+test = ["buildkite-test-collector", "docker", "grpcio-tools (>=1.44.0)", "mock (==3.0.5)", "morefs[asynclocal]", "mypy-protobuf", "objgraph", "pytest (>=7.0.1)", "pytest-cov (==2.10.1)", "pytest-mock (==3.3.1)", "pytest-rerunfailures (==10.0)", "pytest-xdist (==3.5.0)", "rapidfuzz", "responses (<=0.23.1)", "syrupy (>=4.0.0)", "tox (==3.25.0)"]
 
 [[package]]
 name = "dagster-graphql"
-version = "1.4.10"
+version = "1.7.1"
 description = "The GraphQL frontend to python dagster."
 optional = false
-python-versions = "*"
+python-versions = "<3.13,>=3.8"
 files = [
-    {file = "dagster-graphql-1.4.10.tar.gz", hash = "sha256:ea216e2e5bf1d1e5934b3bd5fde4b731dab9963fbd3dc0f89a0063347efa7426"},
-    {file = "dagster_graphql-1.4.10-py3-none-any.whl", hash = "sha256:ed4478d0cf626c52262776b9a6b5f4188d5eba746a2d90caea00f3492ead3781"},
+    {file = "dagster-graphql-1.7.1.tar.gz", hash = "sha256:6227904a0fac4affdb70d2d662a6560847a91261a385a082405b4b6264f6a7bb"},
+    {file = "dagster_graphql-1.7.1-py3-none-any.whl", hash = "sha256:96f805d4570c457de930d4aa5e3e268f4d222a3768d89517726389ad020d8799"},
 ]
 
 [package.dependencies]
-dagster = "1.4.10"
-gql = {version = ">=3.0.0", extras = ["requests"]}
-graphene = ">=3"
+dagster = "1.7.1"
+gql = {version = ">=3,<4", extras = ["requests"]}
+graphene = ">=3,<4"
 requests = "*"
 starlette = "*"
-urllib3 = "<2.0.0"
 
 [[package]]
-name = "dagster-k8s"
-version = "0.20.10"
-description = "A Dagster integration for k8s"
+name = "dagster-pipes"
+version = "1.7.1"
+description = "Toolkit for Dagster integrations with transform logic outside of Dagster"
 optional = false
-python-versions = "*"
+python-versions = "<3.13,>=3.8"
 files = [
-    {file = "dagster-k8s-0.20.10.tar.gz", hash = "sha256:1a066f0699bc62c7418e8a050521f51490da0903aae575b8572154404441fb87"},
-    {file = "dagster_k8s-0.20.10-py3-none-any.whl", hash = "sha256:08f29bed1d05b87a80bc2e09e368cab7cdb581e5d5674eff8b14bc3dff82bce5"},
+    {file = "dagster-pipes-1.7.1.tar.gz", hash = "sha256:a113d3e0a4fc979a2147bb51f944f175f634befa028fe45d78e9b5fb076fcaea"},
+    {file = "dagster_pipes-1.7.1-py3-none-any.whl", hash = "sha256:03ae08517bfdad4ba3d4875720f215cc76f429ae8242e611ca0b8b3c25cd69a5"},
 ]
 
-[package.dependencies]
-dagster = "1.4.10"
-kubernetes = "*"
-
 [[package]]
 name = "dagster-webserver"
-version = "1.4.10"
+version = "1.7.1"
 description = "Web UI for dagster."
 optional = false
-python-versions = "*"
+python-versions = "<3.13,>=3.8"
 files = [
-    {file = "dagster_webserver-1.4.10-py3-none-any.whl", hash = "sha256:be30e464c86bc2dec4e525291c253c917c89b1eba46be54fd988a7b1b0ba2422"},
-    {file = "dagster_webserver-1.4.10.tar.gz", hash = "sha256:0eaf2f954199b1480a92b99f6829f6dd50fc8df8454ca4d881289a430984d994"},
+    {file = "dagster-webserver-1.7.1.tar.gz", hash = "sha256:03bbab1ba8ce0750bb3784fb6e3eed00cbd8dae3dc70ef1cc5490c83abd197a7"},
+    {file = "dagster_webserver-1.7.1-py3-none-any.whl", hash = "sha256:2d9eda1ff26c97efd71753582ef75e6b93f9bc45a6e0a5e5ea8036e0f5f0b694"},
 ]
 
 [package.dependencies]
 click = ">=7.0,<9.0"
-dagster = "1.4.10"
-dagster-graphql = "1.4.10"
-starlette = "*"
+dagster = "1.7.1"
+dagster-graphql = "1.7.1"
+starlette = "!=0.36.0"
 uvicorn = {version = "*", extras = ["standard"]}
 
 [package.extras]
@@ -467,22 +563,21 @@ files = [
 makefun = ">=1.5.0"
 
 [[package]]
-name = "deepdiff"
-version = "6.3.1"
-description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
+name = "deprecated"
+version = "1.2.14"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
-    {file = "deepdiff-6.3.1-py3-none-any.whl", hash = "sha256:eae2825b2e1ea83df5fc32683d9aec5a56e38b756eb2b280e00863ce4def9d33"},
-    {file = "deepdiff-6.3.1.tar.gz", hash = "sha256:e8c1bb409a2caf1d757799add53b3a490f707dd792ada0eca7cac1328055097a"},
+    {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
+    {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
 ]
 
 [package.dependencies]
-ordered-set = ">=4.0.2,<4.2.0"
+wrapt = ">=1.10,<2"
 
 [package.extras]
-cli = ["click (==8.1.3)", "pyyaml (==6.0)"]
-optimize = ["orjson"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
 [[package]]
 name = "distlib"
@@ -495,6 +590,54 @@ files = [
     {file = "distlib-0.3.7.tar.gz", hash = "sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8"},
 ]
 
+[[package]]
+name = "dm-tree"
+version = "0.1.8"
+description = "Tree is a library for working with nested data structures."
+optional = false
+python-versions = "*"
+files = [
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+    {file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"},
+    {file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"},
+    {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
 ]
 
 [[package]]
@@ -643,22 +834,44 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "google-api-core"
+version = "2.18.0"
+description = "Google API client core library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-api-core-2.18.0.tar.gz", hash = "sha256:62d97417bfc674d6cef251e5c4d639a9655e00c45528c4364fbfebb478ce72a9"},
+    {file = "google_api_core-2.18.0-py3-none-any.whl", hash = "sha256:5a63aa102e0049abe85b5b88cb9409234c1f70afcda21ce1e40b285b9629c1d6"},
+]
+
+[package.dependencies]
+google-auth = ">=2.14.1,<3.0.dev0"
+googleapis-common-protos = ">=1.56.2,<2.0.dev0"
+proto-plus = ">=1.22.3,<2.0.0dev"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+requests = ">=2.18.0,<3.0.0.dev0"
+
+[package.extras]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+
 [[package]]
 name = "google-auth"
-version = "2.22.0"
+version = "2.23.0"
 description = "Google Authentication Library"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.22.0.tar.gz", hash = "sha256:164cba9af4e6e4e40c3a4f90a1a6c12ee56f14c0b4868d1ca91b32826ab334ce"},
-    {file = "google_auth-2.22.0-py2.py3-none-any.whl", hash = "sha256:d61d1b40897407b574da67da1a833bdc10d5a11642566e506565d1b1a46ba873"},
+    {file = "google-auth-2.23.0.tar.gz", hash = "sha256:753a26312e6f1eaeec20bc6f2644a10926697da93446e1f8e24d6d32d45a922a"},
+    {file = "google_auth-2.23.0-py2.py3-none-any.whl", hash = "sha256:2cec41407bd1e207f5b802638e32bb837df968bb5c05f413d0fa526fac4cf7a7"},
 ]
 
 [package.dependencies]
 cachetools = ">=2.0.0,<6.0"
 pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
-six = ">=1.9.0"
 urllib3 = "<2.0"
 
 [package.extras]
@@ -668,34 +881,52 @@ pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
+[[package]]
+name = "googleapis-common-protos"
+version = "1.63.0"
+description = "Common protobufs used in Google APIs"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
+    {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
+]
+
+[package.dependencies]
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
 [[package]]
 name = "gql"
-version = "3.4.1"
+version = "3.5.0"
 description = "GraphQL client for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "gql-3.4.1-py2.py3-none-any.whl", hash = "sha256:315624ca0f4d571ef149d455033ebd35e45c1a13f18a059596aeddcea99135cf"},
-    {file = "gql-3.4.1.tar.gz", hash = "sha256:11dc5d8715a827f2c2899593439a4f36449db4f0eafa5b1ea63948f8a2f8c545"},
+    {file = "gql-3.5.0-py2.py3-none-any.whl", hash = "sha256:70dda5694a5b194a8441f077aa5fb70cc94e4ec08016117523f013680901ecb7"},
+    {file = "gql-3.5.0.tar.gz", hash = "sha256:ccb9c5db543682b28f577069950488218ed65d4ac70bb03b6929aaadaf636de9"},
 ]
 
 [package.dependencies]
+anyio = ">=3.0,<5"
 backoff = ">=1.11.1,<3.0"
 graphql-core = ">=3.2,<3.3"
 requests = {version = ">=2.26,<3", optional = true, markers = "extra == \"requests\""}
-requests-toolbelt = {version = ">=0.9.1,<1", optional = true, markers = "extra == \"requests\""}
-urllib3 = {version = ">=1.26,<2", optional = true, markers = "extra == \"requests\""}
+requests-toolbelt = {version = ">=1.0.0,<2", optional = true, markers = "extra == \"requests\""}
 yarl = ">=1.6,<2.0"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.7.1,<3.9.0)"]
-all = ["aiohttp (>=3.7.1,<3.9.0)", "botocore (>=1.21,<2)", "requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "urllib3 (>=1.26,<2)", "websockets (>=10,<11)", "websockets (>=9,<10)"]
+aiohttp = ["aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)"]
+all = ["aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "botocore (>=1.21,<2)", "httpx (>=0.23.1,<1)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "websockets (>=10,<12)"]
 botocore = ["botocore (>=1.21,<2)"]
-dev = ["aiofiles", "aiohttp (>=3.7.1,<3.9.0)", "black (==22.3.0)", "botocore (>=1.21,<2)", "check-manifest (>=0.42,<1)", "flake8 (==3.8.1)", "isort (==4.3.21)", "mock (==4.0.2)", "mypy (==0.910)", "parse (==1.15.0)", "pytest (==6.2.5)", "pytest-asyncio (==0.16.0)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "sphinx (>=3.0.0,<4)", "sphinx-argparse (==0.2.5)", "sphinx-rtd-theme (>=0.4,<1)", "types-aiofiles", "types-mock", "types-requests", "urllib3 (>=1.26,<2)", "vcrpy (==4.0.2)", "websockets (>=10,<11)", "websockets (>=9,<10)"]
-requests = ["requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "urllib3 (>=1.26,<2)"]
-test = ["aiofiles", "aiohttp (>=3.7.1,<3.9.0)", "botocore (>=1.21,<2)", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==6.2.5)", "pytest-asyncio (==0.16.0)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "urllib3 (>=1.26,<2)", "vcrpy (==4.0.2)", "websockets (>=10,<11)", "websockets (>=9,<10)"]
-test-no-transport = ["aiofiles", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==6.2.5)", "pytest-asyncio (==0.16.0)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "vcrpy (==4.0.2)"]
-websockets = ["websockets (>=10,<11)", "websockets (>=9,<10)"]
+dev = ["aiofiles", "aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "black (==22.3.0)", "botocore (>=1.21,<2)", "check-manifest (>=0.42,<1)", "flake8 (==3.8.1)", "httpx (>=0.23.1,<1)", "isort (==4.3.21)", "mock (==4.0.2)", "mypy (==0.910)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "sphinx (>=5.3.0,<6)", "sphinx-argparse (==0.2.5)", "sphinx-rtd-theme (>=0.4,<1)", "types-aiofiles", "types-mock", "types-requests", "vcrpy (==4.4.0)", "websockets (>=10,<12)"]
+httpx = ["httpx (>=0.23.1,<1)"]
+requests = ["requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)"]
+test = ["aiofiles", "aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "botocore (>=1.21,<2)", "httpx (>=0.23.1,<1)", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "vcrpy (==4.4.0)", "websockets (>=10,<12)"]
+test-no-transport = ["aiofiles", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "vcrpy (==4.4.0)"]
+websockets = ["websockets (>=10,<12)"]
 
 [[package]]
 name = "graphene"
@@ -887,6 +1118,38 @@ files = [
 grpcio = ">=1.57.0"
 protobuf = ">=4.21.6"
 
+[[package]]
+name = "gymnasium"
+version = "0.28.1"
+description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "gymnasium-0.28.1-py3-none-any.whl", hash = "sha256:7bc9a5bce1022f997d1dbc152fc91d1ac977bad9cc7794cdc25437010867cabf"},
+    {file = "gymnasium-0.28.1.tar.gz", hash = "sha256:4c2c745808792c8f45c6e88ad0a5504774394e0c126f6e3db555e720d3da6f24"},
+]
+
+[package.dependencies]
+cloudpickle = ">=1.2.0"
+farama-notifications = ">=0.0.1"
+importlib-metadata = {version = ">=4.8.0", markers = "python_version < \"3.10\""}
+jax-jumpy = ">=1.0.0"
+numpy = ">=1.21.0"
+typing-extensions = ">=4.3.0"
+
+[package.extras]
+accept-rom-license = ["autorom[accept-rom-license] (>=0.4.2,<0.5.0)"]
+all = ["box2d-py (==2.3.5)", "imageio (>=2.14.1)", "jax (==0.3.24)", "jaxlib (==0.3.24)", "lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "mujoco (>=2.3.2)", "mujoco-py (>=2.1,<2.2)", "opencv-python (>=3.0)", "pygame (==2.1.3)", "shimmy[atari] (>=0.1.0,<1.0)", "swig (==4.*)", "torch (>=1.0.0)"]
+atari = ["shimmy[atari] (>=0.1.0,<1.0)"]
+box2d = ["box2d-py (==2.3.5)", "pygame (==2.1.3)", "swig (==4.*)"]
+classic-control = ["pygame (==2.1.3)", "pygame (==2.1.3)"]
+jax = ["jax (==0.3.24)", "jaxlib (==0.3.24)"]
+mujoco = ["imageio (>=2.14.1)", "mujoco (>=2.3.2)"]
+mujoco-py = ["mujoco-py (>=2.1,<2.2)", "mujoco-py (>=2.1,<2.2)"]
+other = ["lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "opencv-python (>=3.0)", "torch (>=1.0.0)"]
+testing = ["pytest (==7.1.3)", "scipy (==1.7.3)"]
+toy-text = ["pygame (==2.1.3)", "pygame (==2.1.3)"]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -1016,6 +1279,38 @@ files = [
     {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
 ]
 
+[[package]]
+name = "imageio"
+version = "2.34.0"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "imageio-2.34.0-py3-none-any.whl", hash = "sha256:08082bf47ccb54843d9c73fe9fc8f3a88c72452ab676b58aca74f36167e8ccba"},
+    {file = "imageio-2.34.0.tar.gz", hash = "sha256:ae9732e10acf807a22c389aef193f42215718e16bd06eed0c5bb57e1034a4d53"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=8.3.2"
+
+[package.extras]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+build = ["wheel"]
+dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
+ffmpeg = ["imageio-ffmpeg", "psutil"]
+fits = ["astropy"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
+gdal = ["gdal"]
+itk = ["itk"]
+linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
+pyav = ["av"]
+test = ["fsspec[github]", "pytest", "pytest-cov"]
+tifffile = ["tifffile"]
+
 [[package]]
 name = "importlib-metadata"
 version = "6.8.0"
@@ -1065,21 +1360,22 @@ files = [
 ]
 
 [[package]]
-name = "isort"
-version = "5.12.0"
-description = "A Python utility / library to sort Python imports."
+name = "jax-jumpy"
+version = "1.0.0"
+description = "Common backend for Jax or Numpy."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.7"
 files = [
-    {file = "isort-5.12.0-py3-none-any.whl", hash = "sha256:f84c2818376e66cf843d497486ea8fed8700b340f308f076c6fb1229dff318b6"},
-    {file = "isort-5.12.0.tar.gz", hash = "sha256:8bef7dde241278824a6d83f44a544709b065191b95b6e50894bdc722fcba0504"},
+    {file = "jax-jumpy-1.0.0.tar.gz", hash = "sha256:195fb955cc4c2b7f0b1453e3cb1fb1c414a51a407ffac7a51e69a73cb30d59ad"},
+    {file = "jax_jumpy-1.0.0-py3-none-any.whl", hash = "sha256:ab7e01454bba462de3c4d098e3e585c302a8f06bc36d9182ab4e7e4aa7067c5e"},
 ]
 
+[package.dependencies]
+numpy = ">=1.18.0"
+
 [package.extras]
-colors = ["colorama (>=0.4.3)"]
-pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"]
-plugins = ["setuptools"]
-requirements-deprecated-finder = ["pip-api", "pipreqs"]
+jax = ["jax (>=0.3.24)", "jaxlib (>=0.3.24)"]
+testing = ["pytest (==7.1.3)"]
 
 [[package]]
 name = "jinja2"
@@ -1100,13 +1396,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jsonschema"
-version = "4.19.0"
+version = "4.21.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.19.0-py3-none-any.whl", hash = "sha256:043dc26a3845ff09d20e4420d6012a9c91c9aa8999fa184e7efcfeccb41e32cb"},
-    {file = "jsonschema-4.19.0.tar.gz", hash = "sha256:6e1e7569ac13be8139b2dd2c21a55d350066ee3f80df06c608b398cdc6f30e8f"},
+    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
 ]
 
 [package.dependencies]
@@ -1123,28 +1419,28 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.7.1"
+version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.7.1-py3-none-any.whl", hash = "sha256:05adf340b659828a004220a9613be00fa3f223f2b82002e273dee62fd50524b1"},
-    {file = "jsonschema_specifications-2023.7.1.tar.gz", hash = "sha256:c91a50404e88a1f6ba40636778e2ee08f6e24c5613fe4c53ac24578a5a7f72bb"},
+    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
 ]
 
 [package.dependencies]
 importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
-referencing = ">=0.28.0"
+referencing = ">=0.31.0"
 
 [[package]]
 name = "kubernetes"
-version = "27.2.0"
+version = "28.1.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "kubernetes-27.2.0-py2.py3-none-any.whl", hash = "sha256:0f9376329c85cf07615ed6886bf9bf21eb1cbfc05e14ec7b0f74ed8153cd2815"},
-    {file = "kubernetes-27.2.0.tar.gz", hash = "sha256:d479931c6f37561dbfdf28fc5f46384b1cb8b28f9db344ed4a232ce91990825a"},
+    {file = "kubernetes-28.1.0-py2.py3-none-any.whl", hash = "sha256:10f56f8160dcb73647f15fafda268e7f60cf7dbc9f8e46d52fcd46d3beb0c18d"},
+    {file = "kubernetes-28.1.0.tar.gz", hash = "sha256:1468069a573430fb1cb5ad22876868f57977930f80a6749405da31cd6086a7e9"},
 ]
 
 [package.dependencies]
@@ -1156,12 +1452,101 @@ pyyaml = ">=5.4.1"
 requests = "*"
 requests-oauthlib = "*"
 six = ">=1.9.0"
-urllib3 = ">=1.24.2"
+urllib3 = ">=1.24.2,<2.0"
 websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 
 [package.extras]
 adal = ["adal (>=1.0.2)"]
 
+[[package]]
+name = "lazy-loader"
+version = "0.4"
+description = "Makes it easy to load subpackages and functions on demand."
+optional = false
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 lingua = ["lingua"]
 testing = ["pytest"]
 
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 [[package]]
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 version = "1.8.0"
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 [[package]]
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 version = "3.2.2"
@@ -1519,58 +1984,255 @@ signals = ["blinker (>=1.4.0)"]
 signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
-name = "ordered-set"
-version = "4.1.0"
-description = "An OrderedSet is a custom MutableSet that remembers its order, so that every"
+name = "opencensus"
+version = "0.11.4"
+description = "A stats collection and distributed tracing framework"
 optional = false
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+python-versions = "*"
 files = [
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-[package.extras]
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+[package.dependencies]
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+opencensus-context = ">=0.1.3"
+six = ">=1.16,<2.0"
 
 [[package]]
-name = "packaging"
-version = "23.1"
-description = "Core utilities for Python packages"
+name = "opencensus-context"
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+description = "OpenCensus Runtime Context"
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 ]
 
+[package.dependencies]
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+importlib-metadata = ">=6.0,<=7.0"
+
 [[package]]
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+description = "OpenTelemetry Collector Exporters"
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 [[package]]
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 [[package]]
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 makefun = ">=1.9.5"
 
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 name = "referencing"
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 description = "JSON Referencing + Python"
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 [package.dependencies]
@@ -2142,122 +3140,143 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
 [[package]]
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 ]
 
 [package.dependencies]
 requests = ">=2.0.1,<3.0.0"
 
+[[package]]
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+
+[package.extras]
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+
 [[package]]
 name = "rpds-py"
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+version = "0.18.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
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 python-versions = ">=3.8"
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+    {file = "scipy-1.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:06d2e1b4c491dc7d8eacea139a1b0b295f74e1a1a0f704c375028f8320d16e31"},
+    {file = "scipy-1.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a04cd7d0d3eff6ea4719371cbc44df31411862b9646db617c99718ff68d4840"},
+    {file = "scipy-1.9.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:545c83ffb518094d8c9d83cce216c0c32f8c04aaf28b92cc8283eda0685162d5"},
+    {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d54222d7a3ba6022fdf5773931b5d7c56efe41ede7f7128c7b1637700409108"},
+    {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cff3a5295234037e39500d35316a4c5794739433528310e117b8a9a0c76d20fc"},
+    {file = "scipy-1.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:2318bef588acc7a574f5bfdff9c172d0b1bf2c8143d9582e05f878e580a3781e"},
+    {file = "scipy-1.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d644a64e174c16cb4b2e41dfea6af722053e83d066da7343f333a54dae9bc31c"},
+    {file = "scipy-1.9.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da8245491d73ed0a994ed9c2e380fd058ce2fa8a18da204681f2fe1f57f98f95"},
+    {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4db5b30849606a95dcf519763dd3ab6fe9bd91df49eba517359e450a7d80ce2e"},
+    {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c68db6b290cbd4049012990d7fe71a2abd9ffbe82c0056ebe0f01df8be5436b0"},
+    {file = "scipy-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:5b88e6d91ad9d59478fafe92a7c757d00c59e3bdc3331be8ada76a4f8d683f58"},
+    {file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"},
+]
+
+[package.dependencies]
+numpy = ">=1.18.5,<1.26.0"
+
+[package.extras]
+dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
+doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
+test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
 [[package]]
 name = "setuptools"
 version = "68.1.2"
@@ -2316,6 +3423,17 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
+    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
+]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -2327,6 +3445,31 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
+[[package]]
+name = "smart-open"
+version = "7.0.4"
+description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
+    {file = "smart_open-7.0.4-py3-none-any.whl", hash = "sha256:4e98489932b3372595cddc075e6033194775165702887216b65eba760dfd8d47"},
+    {file = "smart_open-7.0.4.tar.gz", hash = "sha256:62b65852bdd1d1d516839fcb1f6bc50cd0f16e05b4ec44b52f43d38bcb838524"},
+]
+
+[package.dependencies]
+wrapt = "*"
+
+[package.extras]
+all = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "paramiko", "requests", "zstandard"]
+azure = ["azure-common", "azure-core", "azure-storage-blob"]
+gcs = ["google-cloud-storage (>=2.6.0)"]
+http = ["requests"]
+s3 = ["boto3"]
+ssh = ["paramiko"]
+test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto[server]", "paramiko", "pytest", "pytest-rerunfailures", "requests", "responses", "zstandard"]
+webhdfs = ["requests"]
+zst = ["zstandard"]
+
 [[package]]
 name = "sniffio"
 version = "1.3.0"
@@ -2400,7 +3543,7 @@ files = [
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\""}
+greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
 typing-extensions = ">=4.2.0"
 
 [package.extras]
@@ -2445,6 +3588,23 @@ typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""
 [package.extras]
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
 
+[[package]]
+name = "structlog"
+version = "24.1.0"
+description = "Structured Logging for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "structlog-24.1.0-py3-none-any.whl", hash = "sha256:3f6efe7d25fab6e86f277713c218044669906537bb717c1807a09d46bca0714d"},
+    {file = "structlog-24.1.0.tar.gz", hash = "sha256:41a09886e4d55df25bdcb9b5c9674bccfab723ff43e0a86a1b7b236be8e57b16"},
+]
+
+[package.extras]
+dev = ["structlog[tests,typing]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "sphinxext-opengraph", "twisted"]
+tests = ["freezegun (>=0.2.8)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "simplejson"]
+typing = ["mypy (>=1.4)", "rich", "twisted"]
+
 [[package]]
 name = "tabulate"
 version = "0.9.0"
@@ -2460,70 +3620,92 @@ files = [
 widechars = ["wcwidth"]
 
 [[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
+name = "tenacity"
+version = "8.2.3"
+description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+    {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
+    {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
 ]
 
+[package.extras]
+doc = ["reno", "sphinx", "tornado (>=4.5)"]
+
 [[package]]
-name = "toposort"
-version = "1.10"
-description = "Implements a topological sort algorithm."
+name = "tensorboardx"
+version = "2.6.2.2"
+description = "TensorBoardX lets you watch Tensors Flow without Tensorflow"
 optional = false
 python-versions = "*"
 files = [
-    {file = "toposort-1.10-py3-none-any.whl", hash = "sha256:cbdbc0d0bee4d2695ab2ceec97fe0679e9c10eab4b2a87a9372b929e70563a87"},
-    {file = "toposort-1.10.tar.gz", hash = "sha256:bfbb479c53d0a696ea7402601f4e693c97b0367837c8898bc6471adfca37a6bd"},
+    {file = "tensorboardX-2.6.2.2-py2.py3-none-any.whl", hash = "sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8"},
+    {file = "tensorboardX-2.6.2.2.tar.gz", hash = "sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666"},
 ]
 
+[package.dependencies]
+numpy = "*"
+packaging = "*"
+protobuf = ">=3.20"
+
 [[package]]
-name = "tox"
-version = "4.11.0"
-description = "tox is a generic virtualenv management and test command line tool"
+name = "textual"
+version = "0.56.4"
+description = "Modern Text User Interface framework"
 optional = false
-python-versions = ">=3.8"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "tox-4.11.0-py3-none-any.whl", hash = "sha256:7f7e5f1b20115560e610b9a11143bbcf48270ec3293f36c0a18be7b287c3b41f"},
-    {file = "tox-4.11.0.tar.gz", hash = "sha256:cc665e1e6b095f843b952ea5696f7a64bb64982aff62b62547ef171fa60e21eb"},
+    {file = "textual-0.56.4-py3-none-any.whl", hash = "sha256:94a7e6892223348279fed8a9e27f51a9d0ff7a860b60176415ef1d7a796569ac"},
+    {file = "textual-0.56.4.tar.gz", hash = "sha256:6f86ae5b4fd750bc48881c941e1a86f7a188c24a862122002e3ac38cd288ef47"},
 ]
 
 [package.dependencies]
-cachetools = ">=5.3.1"
-chardet = ">=5.2"
-colorama = ">=0.4.6"
-filelock = ">=3.12.3"
-packaging = ">=23.1"
-platformdirs = ">=3.10"
-pluggy = ">=1.3"
-pyproject-api = ">=1.6.1"
-tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
-virtualenv = ">=20.24.3"
+markdown-it-py = {version = ">=2.1.0", extras = ["linkify", "plugins"]}
+rich = ">=13.3.3"
+typing-extensions = ">=4.4.0,<5.0.0"
 
 [package.extras]
-docs = ["furo (>=2023.8.19)", "sphinx (>=7.2.4)", "sphinx-argparse-cli (>=1.11.1)", "sphinx-autodoc-typehints (>=1.24)", "sphinx-copybutton (>=0.5.2)", "sphinx-inline-tabs (>=2023.4.21)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-testing = ["build[virtualenv] (>=0.10)", "covdefaults (>=2.3)", "detect-test-pollution (>=1.1.1)", "devpi-process (>=1)", "diff-cover (>=7.7)", "distlib (>=0.3.7)", "flaky (>=3.7)", "hatch-vcs (>=0.3)", "hatchling (>=1.18)", "psutil (>=5.9.5)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-xdist (>=3.3.1)", "re-assert (>=1.1)", "time-machine (>=2.12)", "wheel (>=0.41.2)"]
+syntax = ["tree-sitter (>=0.20.1,<0.21.0)", "tree-sitter-languages (==1.10.2)"]
 
 [[package]]
-name = "tox-gh"
-version = "1.3.1"
-description = "Seamless integration of tox into GitHub Actions."
+name = "tifffile"
+version = "2023.7.10"
+description = "Read and write TIFF files"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "tox_gh-1.3.1-py3-none-any.whl", hash = "sha256:c671c62ce23ae519a557c3da81e9aa7e35b3a66c69bad71908e595921f83e82d"},
-    {file = "tox_gh-1.3.1.tar.gz", hash = "sha256:594af90b740c14735c41b914b41db2d2aa0360929a1746af32bda4b9fef9bf3d"},
+    {file = "tifffile-2023.7.10-py3-none-any.whl", hash = "sha256:94dfdec321ace96abbfe872a66cfd824800c099a2db558443453eebc2c11b304"},
+    {file = "tifffile-2023.7.10.tar.gz", hash = "sha256:c06ec460926d16796eeee249a560bcdddf243daae36ac62af3c84a953cd60b4a"},
 ]
 
 [package.dependencies]
-tox = ">=4.6"
+numpy = "*"
 
 [package.extras]
-test = ["covdefaults (>=2.3)", "devpi-process (>=0.3)", "pytest (>=7.3.2)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)"]
+all = ["defusedxml", "fsspec", "imagecodecs (>=2023.1.23)", "lxml", "matplotlib", "zarr"]
+
+[[package]]
+name = "tomli"
+version = "2.0.1"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
+
+[[package]]
+name = "toposort"
+version = "1.10"
+description = "Implements a topological sort algorithm."
+optional = false
+python-versions = "*"
+files = [
+    {file = "toposort-1.10-py3-none-any.whl", hash = "sha256:cbdbc0d0bee4d2695ab2ceec97fe0679e9c10eab4b2a87a9372b929e70563a87"},
+    {file = "toposort-1.10.tar.gz", hash = "sha256:bfbb479c53d0a696ea7402601f4e693c97b0367837c8898bc6471adfca37a6bd"},
+]
 
 [[package]]
 name = "tqdm"
@@ -2545,6 +3727,23 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "typer"
+version = "0.12.3"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"},
+    {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"},
+]
+
+[package.dependencies]
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
 [[package]]
 name = "typing-extensions"
 version = "4.7.1"
@@ -2556,23 +3755,48 @@ files = [
     {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
 ]
 
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+]
+
+[[package]]
+name = "uc-micro-py"
+version = "1.0.3"
+description = "Micro subset of unicode data files for linkify-it-py projects."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "uc-micro-py-1.0.3.tar.gz", hash = "sha256:d321b92cff673ec58027c04015fcaa8bb1e005478643ff4a500882eaab88c48a"},
+    {file = "uc_micro_py-1.0.3-py3-none-any.whl", hash = "sha256:db1dffff340817673d7b466ec86114a9dc0e9d4d9b5ba229d9d60e5c12600cd5"},
+]
+
+[package.extras]
+test = ["coverage", "pytest", "pytest-cov"]
+
 [[package]]
 name = "universal-pathlib"
-version = "0.1.3"
+version = "0.2.2"
 description = "pathlib api extended to use fsspec backends"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "universal_pathlib-0.1.3-py3-none-any.whl", hash = "sha256:9c6a78cd75dad2988eb1d5db52f4e85a8a3092cbe5eb2cf18882c1ef06470d43"},
-    {file = "universal_pathlib-0.1.3.tar.gz", hash = "sha256:1a052ab5e0517301df66be6517e9fe63cd9fc00813e5ce71a73701441ac2b5c8"},
+    {file = "universal_pathlib-0.2.2-py3-none-any.whl", hash = "sha256:9bc176112d593348bb29806a47e409eda78dff8d95391d66dd6f85e443aaa75d"},
+    {file = "universal_pathlib-0.2.2.tar.gz", hash = "sha256:6bc215548792ad5db3553708b1c19bafd9e2fa1667dc925ed404c95e52ae2f13"},
 ]
 
 [package.dependencies]
-fsspec = "*"
+fsspec = ">=2022.1.0"
 
 [package.extras]
-dev = ["adlfs", "aiohttp", "cheroot", "gcsfs", "hadoop-test-cluster", "moto[s3,server]", "mypy (==1.3.0)", "pyarrow", "pydantic", "pydantic-settings", "pylint (==2.17.4)", "pytest (==7.3.2)", "pytest-cov (==4.1.0)", "pytest-mock (==3.11.1)", "pytest-sugar (==0.9.6)", "requests", "s3fs", "webdav4[fsspec]", "wsgidav"]
-tests = ["mypy (==1.3.0)", "pylint (==2.17.4)", "pytest (==7.3.2)", "pytest-cov (==4.1.0)", "pytest-mock (==3.11.1)", "pytest-sugar (==0.9.6)"]
+dev = ["adlfs", "aiohttp", "cheroot", "gcsfs", "moto[s3,server] (<5)", "mypy (==1.8.0)", "packaging", "pydantic", "pydantic-settings", "pylint (==2.17.4)", "pytest (==8.0.0)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==0.9.7)", "requests", "s3fs", "webdav4[fsspec]", "wsgidav"]
+tests = ["mypy (==1.8.0)", "packaging", "pylint (==2.17.4)", "pytest (==8.0.0)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==0.9.7)"]
 
 [[package]]
 name = "urllib3"
@@ -2755,13 +3979,13 @@ anyio = ">=3.0.0"
 
 [[package]]
 name = "websocket-client"
-version = "1.6.2"
+version = "1.6.3"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.6.2.tar.gz", hash = "sha256:53e95c826bf800c4c465f50093a8c4ff091c7327023b10bfaff40cf1ef170eaa"},
-    {file = "websocket_client-1.6.2-py3-none-any.whl", hash = "sha256:ce54f419dfae71f4bdba69ebe65bf7f0a93fe71bc009ad3a010aacc3eebad537"},
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 ]
 
 [package.extras]
@@ -2848,6 +4072,85 @@ files = [
     {file = "websockets-11.0.3.tar.gz", hash = "sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016"},
 ]
 
+[[package]]
+name = "wrapt"
+version = "1.16.0"
+description = "Module for decorators, wrappers and monkey patching."
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
+    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.9.2"
@@ -2950,7 +4253,10 @@ files = [
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
+[extras]
+kuberay = ["kubernetes", "python-client", "pyyaml"]
+
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.8"
-content-hash = "0afe339cbfa6d75e7831f462a5af186e175162ecf96df275241c65c3e3f0ef4f"
+python-versions = ">=3.8.1,<3.13"
+content-hash = "44e4c5ae1cac883342a554d23175f758b8b60ea7a635c03bd2c9c10b86c365f7"
diff --git a/pyproject.toml b/pyproject.toml
index 26c656c..026630c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,26 +26,33 @@ classifiers = [
 license = "Apache-2.0"
 
 [tool.poetry.dependencies]
-python = "^3.8"
-dagster = "^1.3.5"
-pyarrow = ">=8.0.0"
-ray = "^2.6.3"
-dagster-k8s = "^0.20.10"
+python = ">=3.8.1,<3.13"
+pyyaml = ">=4.0.0"
+kubernetes = ">=20.0.0" # no idea what's a good lower bound
 
+# FIXME: switch to PyPI once the package is published
+# https://github.com/ray-project/kuberay/issues/2078
+python-client = { git = "https://github.com/ray-project/kuberay.git", subdirectory = "clients/python-client", optional = true }
+tenacity = ">=8.0.0"
+ray = {extras = ["all"], version = ">=2.7.0"}
+dagster = ">=1.6.0"
+
+[tool.poetry.extras]
+kuberay = [
+    "pyyaml",
+    "kubernetes",
+    "python-client",
+]
 
 [tool.poetry.group.dev.dependencies]
 hypothesis = "^6.77.0"
 pytest = "^7.3.1"
-deepdiff = "^6.3.0"
-isort = "^5.12.0"
-ruff = "^0.0.272"
+ruff = "^0.3.0"
 pyright = "^1.1.313"
-tox = "^4.6.0"
-tox-gh = "^1.0.0"
 pre-commit = "^3.3.2"
 dagit = "^1.3.9"
-black = "^23.3.0"
 pytest-cases = "^3.6.14"
+pytest-kubernetes = "^0.3.1"
 
 [build-system]
 requires = ["poetry-core"]
@@ -65,32 +72,10 @@ files = [
 ]
 
 [tool.pytest.ini_options]
+addopts = "-vvv --capture=no --log-disable=faker"
 log_cli = true
 log_level = "INFO"
 
-[tool.isort]
-profile = "black"
-line_length = 120
-src_paths = ["dagster_ray", "tests"]
-
-[tool.black]
-line-length = 120
-target-version = ['py39']
-include = '\.pyi?$'
-exclude = '''
-/(
-    \.eggs
-  | \.git
-  | \.hg
-  | \.mypy_cache
-  | \.pytest_cache
-  | \.ruff_cache
-  | \.venv
-  | build
-  | dist
-  )/
-'''
-
 [tool.ruff]
 line-length = 120
 src = [
@@ -118,7 +103,9 @@ exclude = [
     "node_modules",
     "venv",
 ]
-[tool.ruff.isort]
+[tool.ruff.lint]
+extend-select = ["I"]
+[tool.ruff.lint.isort]
 known-first-party = ["dagster_ray", "tests"]
 
 [tool.pyright]


Test patch:
diff --git a/tests/__init__.py b/tests/__init__.py
index e69de29..880d515 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -0,0 +1,3 @@
+from pathlib import Path
+
+ROOT_DIR = Path(__file__).parent.parent
diff --git a/tests/conftest.py b/tests/conftest.py
index bd2a0ee..ca5c30b 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -4,16 +4,9 @@
 from _pytest.tmpdir import TempPathFactory
 from dagster import DagsterInstance
 
-from dagster_ray.resource import RayResource
-
-logging.getLogger("alembic.runtime.migration").setLevel(logging.WARNING)
+logging.getLogger("alembic").setLevel(logging.WARNING)
 
 
 @pytest.fixture
 def dagster_instance(tmp_path_factory: TempPathFactory) -> DagsterInstance:
     return DagsterInstance.ephemeral(tempdir=str(tmp_path_factory.mktemp("dagster_home")))
-
-
-@pytest.fixture(scope="session")
-def ray_resource():
-    return RayResource(address=None)
diff --git a/tests/test_io_managers.py b/tests/test_io_managers.py
deleted file mode 100644
index e07506e..0000000
--- a/tests/test_io_managers.py
+++ /dev/null
@@ -1,58 +0,0 @@
-# from pathlib import Path
-#
-# import pytest
-# from dagster import materialize, asset
-# import ray
-# from ray import ObjectRef
-#
-# from dagster_ray.resource import RayResource
-# from dagster_ray.io_managers import RayIOManager, RayRefIOManager
-#
-#
-# @pytest.fixture(scope="session")
-# def ray_refs_dir(tmp_path_factory) -> Path:
-#     return tmp_path_factory.mktemp("ray_refs_store")
-#
-#
-# @pytest.fixture(scope="session")
-# def ray_io_manager(ray_refs_dir: Path) -> RayIOManager:
-#     return RayIOManager(
-#         base_dir=str(ray_refs_dir),
-#         ray=RayResource()
-# )
-#
-#
-# @pytest.fixture(scope="session")
-# def ray_ref_io_manager(ray_refs_dir) -> RayRefIOManager:
-#     return RayRefIOManager(
-#         base_dir=str(ray_refs_dir),
-#         ray=RayResource()
-# )
-#
-#
-# def test_ray_io_manager(ray_io_manager: RayResource):
-#     @asset(
-#         io_manager_def=ray_io_manager,
-#     )
-#     def upstream() -> int:
-#         return 0
-#
-#
-#     @asset
-#     def downstream(upstream: int) -> None:
-#         assert upstream == 0
-#
-#     materialize([upstream, downstream])
-#
-#
-# def test_ray_ref_io_manager(ray_ref_io_manager: RayRefIOManager):
-#     @asset(
-#         io_manager_def=ray_ref_io_manager,
-#     )
-#     def upstream() -> int:
-#         return 0
-#
-#     @asset
-#     def downstream(upstream: ObjectRef) -> None:
-#         assert isinstance(upstream, ObjectRef)
-#         assert ray.get(upstream) == 0
diff --git a/tests/test_kuberay.py b/tests/test_kuberay.py
new file mode 100644
index 0000000..6231a96
--- /dev/null
+++ b/tests/test_kuberay.py
@@ -0,0 +1,195 @@
+import os
+import socket
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+from typing import Any, Dict, Generator, List, cast
+
+import pytest
+import pytest_cases
+import ray
+from dagster import asset, materialize_to_memory
+from pytest_kubernetes.options import ClusterOptions
+from pytest_kubernetes.providers import AClusterManager, select_provider_manager
+
+from dagster_ray.kuberay import KubeRayCluster
+from dagster_ray.kuberay.resources import DEFAULT_HEAD_GROUP_SPEC, DEFAULT_WORKER_GROUP_SPECS, RayClusterConfig
+from tests import ROOT_DIR
+
+
+def get_random_free_port():
+    sock = socket.socket()
+    sock.bind(("", 0))
+    return sock.getsockname()[1]
+
+
+@pytest.fixture(scope="session")
+def kuberay_helm_repo():
+    subprocess.run(["helm", "repo", "add", "kuberay", "https://ray-project.github.io/kuberay-helm/"], check=True)
+    subprocess.run(["helm", "repo", "update", "kuberay"], check=True)
+
+
+PYTEST_DAGSTER_RAY_IMAGE = os.getenv("PYTEST_DAGSTER_RAY_IMAGE")
+
+
+@pytest.fixture(scope="session")
+def dagster_ray_image():
+    """
+    Either returns the image name from the environment variable PYTEST_DAGSTER_RAY_IMAGE
+    or builds the image and returns it
+    """
+
+    if PYTEST_DAGSTER_RAY_IMAGE is None:
+        # build the local image
+        python_version = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
+        image = f"local/dagster-ray:py-{python_version}"
+        subprocess.run(
+            [
+                "docker",
+                "build",
+                "-f",
+                str(ROOT_DIR / "Dockerfile"),
+                "--build-arg",
+                "BUILD_DEPENDENCIES=dev",
+                "--build-arg",
+                f"PYTHON_VERSION={python_version}",
+                "-t",
+                image,
+                str(ROOT_DIR),
+            ],
+            check=True,
+        )
+    else:
+        image = PYTEST_DAGSTER_RAY_IMAGE
+
+    return image
+
+
+# TODO: it's easy to parametrize over different versions of k8s
+# but it would take quite some time to test all of them!
+# probably should only do it in CI
+KUBERNETES_VERSION = "1.25.3"
+
+KUBERAY_VERSIONS = os.environ.get("PYTEST_KUBERAY_VERSIONS", "1.1.0").split(",")
+
+
+@pytest_cases.fixture(scope="session")
+@pytest.mark.parametrize("kuberay_version", KUBERAY_VERSIONS)
+def k8s_with_raycluster(
+    request, kuberay_helm_repo, dagster_ray_image: str, kuberay_version: str
+) -> Generator[AClusterManager, None, None]:
+    k8s = select_provider_manager("minikube")("dagster-ray")
+    k8s.create(ClusterOptions(api_version=KUBERNETES_VERSION))
+    # load images in advance to avoid possible timeouts later on
+    k8s.load_image(f"quay.io/kuberay/operator:v{kuberay_version}")
+
+    # warning: minikube fails to load the image directly because of
+    # https://github.com/kubernetes/minikube/issues/18021
+    # so we export it to .tar first
+    # TODO: load image without .tar export once the issue is resolved
+    with tempfile.TemporaryDirectory() as tmpdir:
+        image_tar = Path(tmpdir) / "dagster-ray.tar"
+        subprocess.run(["docker", "image", "save", "-o", str(image_tar), dagster_ray_image], check=True)
+        k8s.load_image(str(image_tar))
+
+    # init the cluster with a workload
+    subprocess.run(
+        [
+            "helm",
+            "--kubeconfig",
+            str(k8s.kubeconfig),
+            "upgrade",
+            "--install",
+            "--create-namespace",
+            "--namespace",
+            "kuberay-operator",
+            "kuberay-operator",
+            "kuberay/kuberay-operator",
+            "--version",
+            kuberay_version,
+        ],
+        check=True,
+    )
+
+    k8s.wait("deployment/kuberay-operator", "condition=Available=True", namespace="kuberay-operator")
+    # namespace to create RayClusters in
+    k8s.kubectl(["create", "namespace", "kuberay"])
+    yield k8s
+    k8s.delete()
+
+
+@pytest.fixture(scope="session")
+def head_group_spec(dagster_ray_image: str) -> Dict[str, Any]:
+    head_group_spec = DEFAULT_HEAD_GROUP_SPEC.copy()
+    head_group_spec["serviceType"] = "LoadBalancer"
+    head_group_spec["template"]["spec"]["containers"][0]["image"] = dagster_ray_image
+    head_group_spec["template"]["spec"]["containers"][0]["imagePullPolicy"] = "IfNotPresent"
+    return head_group_spec
+
+
+@pytest.fixture(scope="session")
+def worker_group_specs(dagster_ray_image: str) -> List[Dict[str, Any]]:
+    worker_group_specs = DEFAULT_WORKER_GROUP_SPECS.copy()
+    worker_group_specs[0]["template"]["spec"]["containers"][0]["image"] = dagster_ray_image
+    worker_group_specs[0]["template"]["spec"]["containers"][0]["imagePullPolicy"] = "IfNotPresent"
+    return worker_group_specs
+
+
+@pytest.fixture(scope="session")
+def ray_cluster_resource(
+    k8s_with_raycluster: AClusterManager,
+    dagster_ray_image: str,
+    head_group_spec: Dict[str, Any],
+    worker_group_specs: List[Dict[str, Any]],
+) -> KubeRayCluster:
+    redis_port = get_random_free_port()
+
+    return KubeRayCluster(
+        # have have to first run port-forwarding with minikube
+        # we can only init ray after that
+        skip_init=True,
+        kubeconfig_file=str(k8s_with_raycluster.kubeconfig),
+        ray_cluster=RayClusterConfig(
+            image=dagster_ray_image,
+            head_group_spec=head_group_spec,
+            worker_group_specs=worker_group_specs,
+        ),
+        redis_port=redis_port,
+    )
+
+
+@ray.remote
+def get_hostname():
+    return socket.gethostname()
+
+
+def test_kuberay_cluster_resource(
+    ray_cluster_resource: KubeRayCluster,
+    k8s_with_raycluster: AClusterManager,
+):
+    @asset
+    def my_asset(ray_cluster: KubeRayCluster) -> None:
+        # port-forward to the head node
+        # because it's not possible to access it otherwise
+
+        with k8s_with_raycluster.port_forwarding(
+            target=f"svc/{ray_cluster.cluster_name}-head-svc",
+            source_port=cast(int, ray_cluster.redis_port),
+            target_port=10001,
+            namespace=ray_cluster.namespace,
+        ):
+            # now we can access the head node
+            # hack the _host attribute to point to the port-forwarded address
+            ray_cluster._host = "127.0.0.1"
+            ray_cluster.init_ray()  # normally this would happen automatically during resource setup
+            assert ray_cluster.context is not None
+
+            # make sure a @remote function runs inside the cluster
+            # not in localhost
+            assert ray_cluster.cluster_name in ray.get(get_hostname.remote())
+
+    materialize_to_memory(
+        [my_asset],
+        resources={"ray_cluster": ray_cluster_resource},
+    )
diff --git a/tests/test_resource.py b/tests/test_resource.py
deleted file mode 100644
index 87a3cd7..0000000
--- a/tests/test_resource.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import ray
-from dagster import asset, materialize
-
-from dagster_ray.resource import RAY_RESOURCE_CONFIG_SCHEMA, RayResource
-
-
-def test_resource(ray_resource: RayResource):
-    @asset
-    def my_asset(ray_resource: RayResource) -> None:
-        @ray.remote
-        def f():
-            return 1
-
-        res = ray.get(f.remote())
-
-        assert res == 1
-
-    materialize([my_asset], resources={"ray_resource": ray_resource})
-
-
-def test_config_schema():
-    assert "address" in RAY_RESOURCE_CONFIG_SCHEMA
-    assert "runtime_env" in RAY_RESOURCE_CONFIG_SCHEMA