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setup.py
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setup.py
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# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import io
import os
import setuptools # type: ignore
name = "google-cloud-aiplatform"
description = "Vertex AI API client library"
package_root = os.path.abspath(os.path.dirname(__file__))
readme_filename = os.path.join(package_root, "README.rst")
with io.open(readme_filename, encoding="utf-8") as readme_file:
readme = readme_file.read()
version = {}
with open(os.path.join(package_root, "google/cloud/aiplatform/version.py")) as fp:
exec(fp.read(), version)
version = version["__version__"]
packages = [
package
for package in setuptools.PEP420PackageFinder.find()
if package.startswith("google") or package.startswith("vertexai")
]
# Add vertex_ray relative packages
packages += [
package.replace("google.cloud.aiplatform.vertex_ray", "vertex_ray")
for package in setuptools.PEP420PackageFinder.find()
if package.startswith("google.cloud.aiplatform.vertex_ray")
]
profiler_extra_require = [
"tensorboard-plugin-profile >= 2.4.0, <3.0.0dev",
"werkzeug >= 2.0.0, <2.1.0dev",
"tensorflow >=2.4.0, <3.0.0dev",
]
tensorboard_extra_require = [
"tensorflow >=2.3.0, <3.0.0dev; python_version<='3.11'"
] + profiler_extra_require
metadata_extra_require = ["pandas >= 1.0.0", "numpy>=1.15.0"]
xai_extra_require = ["tensorflow >=2.3.0, <3.0.0dev"]
lit_extra_require = [
"tensorflow >= 2.3.0, <3.0.0dev",
"pandas >= 1.0.0",
"lit-nlp == 0.4.0",
"explainable-ai-sdk >= 1.0.0",
]
featurestore_extra_require = [
"google-cloud-bigquery-storage",
"pandas >= 1.0.0",
"pyarrow >= 6.0.1",
]
pipelines_extra_require = [
"pyyaml>=5.3.1,<7",
]
datasets_extra_require = [
"pyarrow >= 3.0.0, < 8.0dev; python_version<'3.11'",
"pyarrow >= 10.0.1; python_version=='3.11'",
"pyarrow >= 14.0.0; python_version>='3.12'",
]
vizier_extra_require = [
"google-vizier>=0.1.6",
]
prediction_extra_require = [
"docker >= 5.0.3",
"fastapi >= 0.71.0, <=0.109.1",
"httpx >=0.23.0, <0.25.0", # Optional dependency of fastapi
"starlette >= 0.17.1",
"uvicorn[standard] >= 0.16.0",
]
endpoint_extra_require = ["requests >= 2.28.1"]
private_endpoints_extra_require = [
"urllib3 >=1.21.1, <1.27",
"requests >= 2.28.1",
]
autologging_extra_require = ["mlflow>=1.27.0,<=2.1.1"]
preview_extra_require = [
"cloudpickle < 3.0",
"google-cloud-logging < 4.0",
]
ray_extra_require = [
# Cluster only supports 2.9.3. Keep 2.4.0 for our testing environment.
# Note that testing is submiting a job in a cluster with Ray 2.9.3 remotely.
(
"ray[default] >= 2.4, <= 2.9.3,!= 2.5.*,!= 2.6.*,!= 2.7.*,!="
" 2.8.*,!=2.9.0,!=2.9.1,!=2.9.2; python_version<'3.11'"
),
# To avoid ImportError: cannot import name 'packaging' from 'pkg)resources'
"setuptools < 70.0.0",
# Ray Data v2.4 in Python 3.11 is broken, but got fixed in Ray v2.5.
"ray[default] >= 2.5, <= 2.9.3; python_version=='3.11'",
"google-cloud-bigquery-storage",
"google-cloud-bigquery",
"pandas >= 1.0.0, < 2.2.0",
"pyarrow >= 6.0.1",
# Workaround for https://github.com/ray-project/ray/issues/36990.
# TODO(b/295406381): Remove this pin when we drop support of ray<=2.5.
"pydantic < 2",
"immutabledict",
]
genai_requires = (
"pydantic < 3",
"docstring_parser < 1",
)
ray_testing_extra_require = ray_extra_require + [
"pytest-xdist",
# ray train extras required for prediction tests
"ray[train] == 2.9.3",
# Framework version constraints copied from testing_extra_require
"scikit-learn",
"tensorflow",
"torch >= 2.0.0, < 2.1.0",
"xgboost",
"xgboost_ray",
]
reasoning_engine_extra_require = [
"cloudpickle >= 3.0, < 4.0",
"opentelemetry-sdk < 2",
"opentelemetry-exporter-gcp-trace < 2",
"pydantic >= 2.6.3, < 3",
]
rapid_evaluation_extra_require = [
"pandas >= 1.0.0, < 2.2.0",
"tqdm>=4.23.0",
]
langchain_extra_require = [
"langchain >= 0.1.16, < 0.3",
"langchain-core < 0.2",
"langchain-google-vertexai < 2",
"openinference-instrumentation-langchain >= 0.1.19, < 0.2",
"tenacity <= 8.3",
]
langchain_testing_extra_require = list(
set(
langchain_extra_require
+ reasoning_engine_extra_require
+ ["absl-py", "pytest-xdist"]
)
)
tokenization_extra_require = ["sentencepiece >= 0.2.0"]
tokenization_testing_extra_require = tokenization_extra_require + ["nltk"]
full_extra_require = list(
set(
tensorboard_extra_require
+ metadata_extra_require
+ xai_extra_require
+ lit_extra_require
+ featurestore_extra_require
+ pipelines_extra_require
+ datasets_extra_require
+ endpoint_extra_require
+ vizier_extra_require
+ prediction_extra_require
+ private_endpoints_extra_require
+ autologging_extra_require
+ preview_extra_require
+ ray_extra_require
+ rapid_evaluation_extra_require
)
)
testing_extra_require = (
full_extra_require
+ profiler_extra_require
+ tokenization_testing_extra_require
+ [
"bigframes; python_version>='3.10'",
# google-api-core 2.x is required since kfp requires protobuf > 4
"google-api-core >= 2.11, < 3.0.0",
"grpcio-testing",
"ipython",
"kfp >= 2.6.0, < 3.0.0",
"pyfakefs",
"pytest-asyncio",
"pytest-xdist",
"scikit-learn",
# Lazy import requires > 2.12.0
"tensorflow == 2.13.0; python_version<='3.11'",
"tensorflow == 2.16.1; python_version>'3.11'",
# TODO(jayceeli) torch 2.1.0 has conflict with pyfakefs, will check if
# future versions fix this issue
"torch >= 2.0.0, < 2.1.0; python_version<='3.11'",
"torch >= 2.2.0; python_version>'3.11'",
"requests-toolbelt < 1.0.0",
"immutabledict",
"xgboost",
]
)
setuptools.setup(
name=name,
version=version,
description=description,
long_description=readme,
packages=packages,
package_dir={"vertex_ray": "google/cloud/aiplatform/vertex_ray"},
package_data={"": ["*.html.j2"]},
entry_points={
"console_scripts": [
"tb-gcp-uploader=google.cloud.aiplatform.tensorboard.uploader_main:run_main"
],
},
namespace_packages=("google", "google.cloud"),
author="Google LLC",
author_email="googleapis-packages@google.com",
license="Apache 2.0",
url="https://github.com/googleapis/python-aiplatform",
platforms="Posix; MacOS X; Windows",
include_package_data=True,
install_requires=(
(
"google-api-core[grpc] >= 1.34.1,"
" <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*"
),
"google-auth >= 2.14.1, <3.0.0dev",
"proto-plus >= 1.22.0, <2.0.0dev",
"protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5",
"packaging >= 14.3",
"google-cloud-storage >= 1.32.0, < 3.0.0dev",
"google-cloud-bigquery >= 1.15.0, < 4.0.0dev, !=3.20.0",
"google-cloud-resource-manager >= 1.3.3, < 3.0.0dev",
"shapely < 3.0.0dev",
)
+ genai_requires,
extras_require={
"endpoint": endpoint_extra_require,
"full": full_extra_require,
"metadata": metadata_extra_require,
"tensorboard": tensorboard_extra_require,
"testing": testing_extra_require,
"xai": xai_extra_require,
"lit": lit_extra_require,
"cloud_profiler": profiler_extra_require,
"pipelines": pipelines_extra_require,
"vizier": vizier_extra_require,
"prediction": prediction_extra_require,
"datasets": datasets_extra_require,
"private_endpoints": private_endpoints_extra_require,
"autologging": autologging_extra_require,
"preview": preview_extra_require,
"ray": ray_extra_require,
"ray_testing": ray_testing_extra_require,
"reasoningengine": reasoning_engine_extra_require,
"rapid_evaluation": rapid_evaluation_extra_require,
"langchain": langchain_extra_require,
"langchain_testing": langchain_testing_extra_require,
"tokenization": tokenization_extra_require,
},
python_requires=">=3.8",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Internet",
"Topic :: Software Development :: Libraries :: Python Modules",
],
zip_safe=False,
)