structure saas with tools

This commit is contained in:
Davidson Gomes
2025-04-25 15:30:54 -03:00
commit 1aef473937
16434 changed files with 6584257 additions and 0 deletions

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# Copyright 2021 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.
from google.cloud.aiplatform.helpers import container_uri_builders
get_prebuilt_prediction_container_uri = (
container_uri_builders.get_prebuilt_prediction_container_uri
)
is_prebuilt_prediction_container_uri = (
container_uri_builders.is_prebuilt_prediction_container_uri
)
_get_closest_match_prebuilt_container_uri = (
container_uri_builders._get_closest_match_prebuilt_container_uri
)
__all__ = (
"get_prebuilt_prediction_container_uri",
"is_prebuilt_prediction_container_uri",
"_get_closest_match_prebuilt_container_uri",
)

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# 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 re
from typing import Optional
import warnings
from google.cloud.aiplatform import initializer
from google.cloud.aiplatform.constants import prediction
from packaging import version
def get_prebuilt_prediction_container_uri(
framework: str,
framework_version: str,
region: Optional[str] = None,
accelerator: str = "cpu",
) -> str:
"""
Get a Vertex AI pre-built prediction Docker container URI for
a given framework, version, region, and accelerator use.
Example usage:
```
uri = aiplatform.helpers.get_prebuilt_prediction_container_uri(
framework="tensorflow",
framework_version="2.6",
accelerator="gpu"
)
model = aiplatform.Model.upload(
display_name="boston_housing_",
artifact_uri="gs://my-bucket/my-model/",
serving_container_image_uri=uri
)
```
Args:
framework (str):
Required. The ML framework of the pre-built container. For example,
`"tensorflow"`, `"xgboost"`, or `"sklearn"`
framework_version (str):
Required. The version of the specified ML framework as a string.
region (str):
Optional. AI region or multi-region. Used to select the correct
Artifact Registry multi-region repository and reduce latency.
Must start with `"us"`, `"asia"` or `"europe"`.
Default is location set by `aiplatform.init()`.
accelerator (str):
Optional. The type of accelerator support provided by container. For
example: `"cpu"` or `"gpu"`
Default is `"cpu"`.
Returns:
uri (str):
A Vertex AI prediction container URI
Raises:
ValueError: If containers for provided framework are unavailable or the
container does not support the specified version, accelerator, or region.
"""
URI_MAP = prediction._SERVING_CONTAINER_URI_MAP
DOCS_URI_MESSAGE = (
f"See {prediction._SERVING_CONTAINER_DOCUMENTATION_URL} "
"for complete list of supported containers"
)
# If region not provided, use initializer location
region = region or initializer.global_config.location
region = region.split("-", 1)[0]
framework = framework.lower()
if not URI_MAP.get(region):
raise ValueError(
f"Unsupported container region `{region}`, supported regions are "
f"{', '.join(URI_MAP.keys())}. "
f"{DOCS_URI_MESSAGE}"
)
if not URI_MAP[region].get(framework):
raise ValueError(
f"No containers found for framework `{framework}`. Supported frameworks are "
f"{', '.join(URI_MAP[region].keys())} {DOCS_URI_MESSAGE}"
)
if not URI_MAP[region][framework].get(accelerator):
raise ValueError(
f"{framework} containers do not support `{accelerator}` accelerator. Supported accelerators "
f"are {', '.join(URI_MAP[region][framework].keys())}. {DOCS_URI_MESSAGE}"
)
final_uri = URI_MAP[region][framework][accelerator].get(framework_version)
if not final_uri:
raise ValueError(
f"No serving container for `{framework}` version `{framework_version}` "
f"with accelerator `{accelerator}` found. Supported versions "
f"include {', '.join(URI_MAP[region][framework][accelerator].keys())}. {DOCS_URI_MESSAGE}"
)
return final_uri
def is_prebuilt_prediction_container_uri(image_uri: str) -> bool:
"""Checks whether the image is pre-built by Vertex AI prediction.
Args:
image_uri (str):
Required. The image uri to be checked whether it is prebuilt by Vertex
AI prediction.
Returns:
If the image is prebuilt by Vertex AI prediction.
"""
return re.fullmatch(prediction.CONTAINER_URI_REGEX, image_uri) is not None
# TODO(b/264191784) Deduplicate this method
def _get_closest_match_prebuilt_container_uri(
framework: str,
framework_version: str,
region: Optional[str] = None,
accelerator: str = "cpu",
) -> str:
"""Return a pre-built container uri that is suitable for a specific framework and version.
If there is no exact match for the given version, the closest one that is
higher than the input version will be used.
Args:
framework (str):
Required. The ML framework of the pre-built container. For example,
`"tensorflow"`, `"xgboost"`, or `"sklearn"`
framework_version (str):
Required. The version of the specified ML framework as a string.
region (str):
Optional. AI region or multi-region. Used to select the correct
Artifact Registry multi-region repository and reduce latency.
Must start with `"us"`, `"asia"` or `"europe"`.
Default is location set by `aiplatform.init()`.
accelerator (str):
Optional. The type of accelerator support provided by container. For
example: `"cpu"` or `"gpu"`
Default is `"cpu"`.
Returns:
A string representing the pre-built container uri.
Raises:
ValueError: If the framework doesn't have suitable pre-built container.
"""
URI_MAP = prediction._SERVING_CONTAINER_URI_MAP
DOCS_URI_MESSAGE = (
f"See {prediction._SERVING_CONTAINER_DOCUMENTATION_URL} "
"for complete list of supported containers"
)
# If region not provided, use initializer location
region = region or initializer.global_config.location
region = region.split("-", 1)[0]
framework = framework.lower()
if not URI_MAP.get(region):
raise ValueError(
f"Unsupported container region `{region}`, supported regions are "
f"{', '.join(URI_MAP.keys())}. "
f"{DOCS_URI_MESSAGE}"
)
if not URI_MAP[region].get(framework):
raise ValueError(
f"No containers found for framework `{framework}`. Supported frameworks are "
f"{', '.join(URI_MAP[region].keys())} {DOCS_URI_MESSAGE}"
)
if not URI_MAP[region][framework].get(accelerator):
raise ValueError(
f"{framework} containers do not support `{accelerator}` accelerator. Supported accelerators "
f"are {', '.join(URI_MAP[region][framework].keys())}. {DOCS_URI_MESSAGE}"
)
framework_version = version.Version(framework_version)
available_version_list = [
version.Version(available_version)
for available_version in URI_MAP[region][framework][accelerator].keys()
]
try:
closest_version = min(
[
available_version
for available_version in available_version_list
if available_version >= framework_version
# manually implement Version.major for packaging < 20.0
and available_version._version.release[0]
== framework_version._version.release[0]
]
)
except ValueError:
raise ValueError(
f"You are using `{framework}` version `{framework_version}`. "
f"Vertex pre-built containers support up to `{framework}` version "
f"`{max(available_version_list)}` and don't assume forward compatibility. "
f"Please build your own custom container. {DOCS_URI_MESSAGE}"
) from None
if closest_version != framework_version:
warnings.warn(
f"No exact match for `{framework}` version `{framework_version}`. "
f"Pre-built container for `{framework}` version `{closest_version}` is used. "
f"{DOCS_URI_MESSAGE}"
)
final_uri = URI_MAP[region][framework][accelerator].get(str(closest_version))
return final_uri