testbed/aws__sagemaker-python-sdk/tests/unit/sagemaker/jumpstart/utils.py

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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 __future__ import absolute_import
import copy
from typing import List

from sagemaker.jumpstart.cache import JumpStartModelsCache
from sagemaker.jumpstart.constants import JUMPSTART_DEFAULT_REGION_NAME, JUMPSTART_REGION_NAME_SET
from sagemaker.jumpstart.types import (
    JumpStartCachedS3ContentKey,
    JumpStartCachedS3ContentValue,
    JumpStartModelSpecs,
    JumpStartS3FileType,
    JumpStartModelHeader,
)
from sagemaker.jumpstart.utils import get_formatted_manifest
from tests.unit.sagemaker.jumpstart.constants import (
    PROTOTYPICAL_MODEL_SPECS_DICT,
    BASE_MANIFEST,
    BASE_SPEC,
    BASE_HEADER,
)


def get_header_from_base_header(
    _obj: JumpStartModelsCache = None,
    region: str = None,
    model_id: str = None,
    semantic_version_str: str = None,
    version: str = None,
) -> JumpStartModelHeader:

    if version and semantic_version_str:
        raise ValueError("Cannot specify both `version` and `semantic_version_str` fields.")

    if all(
        [
            "pytorch" not in model_id,
            "tensorflow" not in model_id,
            "huggingface" not in model_id,
            "mxnet" not in model_id,
            "xgboost" not in model_id,
            "catboost" not in model_id,
            "lightgbm" not in model_id,
            "sklearn" not in model_id,
        ]
    ):
        raise KeyError("Bad model ID")

    if region is not None and region not in JUMPSTART_REGION_NAME_SET:
        raise ValueError(
            f"Region name {region} not supported. Please use one of the supported regions in "
            f"{JUMPSTART_REGION_NAME_SET}"
        )

    spec = copy.deepcopy(BASE_HEADER)

    spec["version"] = version or semantic_version_str
    spec["model_id"] = model_id

    return JumpStartModelHeader(spec)


def get_prototype_manifest(
    region: str = JUMPSTART_DEFAULT_REGION_NAME,
) -> List[JumpStartModelHeader]:
    return [
        get_header_from_base_header(region=region, model_id=model_id, version=version)
        for model_id in PROTOTYPICAL_MODEL_SPECS_DICT.keys()
        for version in ["1.0.0"]
    ]


def get_prototype_model_spec(
    region: str = None, model_id: str = None, version: str = None
) -> JumpStartModelSpecs:
    """This function mocks cache accessor functions. For this mock,
    we only retrieve model specs based on the model ID.
    """

    specs = JumpStartModelSpecs(PROTOTYPICAL_MODEL_SPECS_DICT[model_id])
    return specs


def get_spec_from_base_spec(
    _obj: JumpStartModelsCache = None,
    region: str = None,
    model_id: str = None,
    semantic_version_str: str = None,
    version: str = None,
) -> JumpStartModelSpecs:

    if version and semantic_version_str:
        raise ValueError("Cannot specify both `version` and `semantic_version_str` fields.")

    if all(
        [
            "pytorch" not in model_id,
            "tensorflow" not in model_id,
            "huggingface" not in model_id,
            "mxnet" not in model_id,
            "xgboost" not in model_id,
            "catboost" not in model_id,
            "lightgbm" not in model_id,
            "sklearn" not in model_id,
        ]
    ):
        raise KeyError("Bad model ID")

    if region is not None and region not in JUMPSTART_REGION_NAME_SET:
        raise ValueError(
            f"Region name {region} not supported. Please use one of the supported regions in "
            f"{JUMPSTART_REGION_NAME_SET}"
        )

    spec = copy.deepcopy(BASE_SPEC)

    spec["version"] = version or semantic_version_str
    spec["model_id"] = model_id

    return JumpStartModelSpecs(spec)


def patched_retrieval_function(
    _modelCacheObj: JumpStartModelsCache,
    key: JumpStartCachedS3ContentKey,
    value: JumpStartCachedS3ContentValue,
) -> JumpStartCachedS3ContentValue:

    filetype, s3_key = key.file_type, key.s3_key
    if filetype == JumpStartS3FileType.MANIFEST:

        return JumpStartCachedS3ContentValue(
            formatted_content=get_formatted_manifest(BASE_MANIFEST)
        )

    if filetype == JumpStartS3FileType.SPECS:
        _, model_id, specs_version = s3_key.split("/")
        version = specs_version.replace("specs_v", "").replace(".json", "")
        return JumpStartCachedS3ContentValue(
            formatted_content=get_spec_from_base_spec(model_id=model_id, version=version)
        )

    raise ValueError(f"Bad value for filetype: {filetype}")