Field name "json" shadows a BaseModel attribute; use a different field name with "alias='json'"

[ZMarouani]

Hello here , I have a python code using step functions sdk that was created a while ago using version 2.3.0 , suddenly without making any changes to the used code itself but maybe because i have added other dependencies to the project that uses pydantic classes ( though it wasn't added to the code that uses sfn sdk but rather same poetry environment ) I started receiving this weird error `NameError: Field name "json" shadows a BaseModel attribute; use a different field name with "alias='json'".

The error already happens with the imports
`

Reproduction Steps

import json
from typing import Union, List, Tuple, Any, Iterable

from stepfunctions.workflow import Workflow
from stepfunctions.steps import Chain
from stepfunctions.steps.states import State

def generate_asl_json_file_for_workflow(
    workflow: Workflow, output_file_path: str
) -> str:
    workflow_json = json.loads(workflow.definition.to_json())

    # Serializing json
    pretty_workflow_json = json.dumps(workflow_json, indent=4)

    # Writing to sample.json
    with open(f"{output_file_path}.asl.json", "w") as outfile:
        outfile.write(pretty_workflow_json)

    return pretty_workflow_json

What did you expect to happen?

Creating and generating step functions workflows after creating it using sfn python sdk

What actually happened?

What happens is that i receive this log error :

Traceback (most recent call last) ──────────────────────╮
│ /Users/zied/PycharmProjects/ada-datasets-creation-service/ada_datasets_pipel │
│ ine/src/step_functions_scripts/main.py:2 in <module>                         │
│                                                                              │
│    1 from ada_datasets_pipeline.src.step_functions_scripts.parameters import │
│ ❱  2 from ada_datasets_pipeline.src.step_functions_scripts.src.create_ada_da │
│    3 │   generate_ada_pipeline_state_machine,                                │
│    4 )                                                                       │
│    5                                                                         │
│                                                                              │
│ /Users/zied/PycharmProjects/ada-datasets-creation-service/ada_datasets_pipel │
│ ine/src/step_functions_scripts/src/create_ada_dataset.py:1 in <module>       │
│                                                                              │
│ ❱   1 from ada_datasets_pipeline.src.step_functions_scripts.src.utils import │
│     2 │   states_format,                                                     │
│     3 │   generate_asl_json_file_for_workflow,                               │
│     4 │   chain_events_list,                                                 │
│                                                                              │
│ /Users/zied/PycharmProjects/ada-datasets-creation-service/ada_datasets_pipel │
│ ine/src/step_functions_scripts/src/utils.py:4 in <module>                    │
│                                                                              │
│     1 import json                                                            │
│     2 from typing import Union, List, Tuple, Any, Iterable                   │
│     3                                                                        │
│ ❱   4 from stepfunctions.workflow import Workflow                            │
│     5 from stepfunctions.steps import Chain                                  │
│     6 from stepfunctions.steps.states import State                           │
│     7                                                                        │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/stepfunctions/__init__.py:25 in       │
│ <module>                                                                     │
│                                                                              │
│   22 # disable logging.warning() from import packages                        │
│   23 logging.getLogger().setLevel(logging.ERROR)                             │
│   24                                                                         │
│ ❱ 25 from stepfunctions import steps                                         │
│   26 from stepfunctions import workflow                                      │
│   27 from stepfunctions import template                                      │
│   28 from stepfunctions.workflow.utils import CustomColorFormatter           │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/stepfunctions/steps/__init__.py:19 in │
│ <module>                                                                     │
│                                                                              │
│   16                                                                         │
│   17 from stepfunctions.steps.states import Pass, Succeed, Fail, Wait, Choic │
│   18 from stepfunctions.steps.states import Graph, FrozenGraph               │
│ ❱ 19 from stepfunctions.steps.sagemaker import TrainingStep, TransformStep,  │
│   20 from stepfunctions.steps.compute import LambdaStep, BatchSubmitJobStep, │
│   21 from stepfunctions.steps.service import DynamoDBGetItemStep, DynamoDBPu │
│   22                                                                         │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/stepfunctions/steps/sagemaker.py:25   │
│ in <module>                                                                  │
│                                                                              │
│    22 from stepfunctions.steps.utils import merge_dicts, tags_dict_to_kv_lis │
│    23 from stepfunctions.steps.integration_resources import IntegrationPatte │
│    24                                                                        │
│ ❱  25 from sagemaker.workflow.airflow import training_config, transform_conf │
│    26 from sagemaker.model import Model, FrameworkModel                      │
│    27 from sagemaker.model_monitor import DataCaptureConfig                  │
│    28                                                                        │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker/__init__.py:18 in <module>  │
│                                                                              │
│   15                                                                         │
│   16 import importlib_metadata                                               │
│   17                                                                         │
│ ❱ 18 from sagemaker import estimator, parameter, tuner  # noqa: F401         │
│   19 from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredicto │
│   20 from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor  # noqa: F │
│   21 from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor  # noqa: F │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker/estimator.py:30 in <module> │
│                                                                              │
│     27 from six.moves.urllib.parse import urlparse                           │
│     28                                                                       │
│     29 import sagemaker                                                      │
│ ❱   30 from sagemaker import git_utils, image_uris, vpc_utils, s3            │
│     31 from sagemaker.analytics import TrainingJobAnalytics                  │
│     32 from sagemaker.config import (                                        │
│     33 │   ESTIMATOR_DEBUG_HOOK_CONFIG_PATH,                                 │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker/image_uris.py:24 in         │
│ <module>                                                                     │
│                                                                              │
│    21 from packaging.version import Version                                  │
│    22                                                                        │
│    23 from sagemaker import utils                                            │
│ ❱  24 from sagemaker.jumpstart.constants import DEFAULT_JUMPSTART_SAGEMAKER_ │
│    25 from sagemaker.jumpstart.enums import JumpStartModelType               │
│    26 from sagemaker.jumpstart.utils import is_jumpstart_model_input         │
│    27 from sagemaker.spark import defaults                                   │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker/jumpstart/constants.py:27   │
│ in <module>                                                                  │
│                                                                              │
│    24 │   MIMEType,                                                          │
│    25 │   JumpStartModelType,                                                │
│    26 )                                                                      │
│ ❱  27 from sagemaker.jumpstart.types import JumpStartLaunchedRegionInfo, Jum │
│    28 from sagemaker.base_serializers import (                               │
│    29 │   BaseSerializer,                                                    │
│    30 │   CSVSerializer,                                                     │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker/jumpstart/types.py:20 in    │
│ <module>                                                                     │
│                                                                              │
│     17 from copy import deepcopy                                             │
│     18 from enum import Enum                                                 │
│     19 from typing import Any, Dict, List, Optional, Set, Union              │
│ ❱   20 from sagemaker_core.shapes import ModelAccessConfig as CoreModelAcces │
│     21 from sagemaker.model_card.model_card import ModelCard, ModelPackageMo │
│     22 from sagemaker.utils import (                                         │
│     23 │   S3_PREFIX,                                                        │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker_core/shapes/__init__.py:1   │
│ in <module>                                                                  │
│                                                                              │
│ ❱ 1 from ..main.shapes import *                                              │
│   2                                                                          │
│                                                                              │
│ /Users/zied/Library/Caches/pypoetry/virtualenvs/ada-datasets-pipeline-gB2QjA │
│ dD-py3.10/lib/python3.10/site-packages/sagemaker_core/main/shapes.py:2509 in │
│ <module>                                                                     │
│                                                                              │
│    2506 │   """                                                              │
│    2507                                                                      │
│    2508                                                                      │
│ ❱  2509 class MonitoringDatasetFormat(Base):                                 │
│    2510 │   """                                                              │
│    2511 │   MonitoringDatasetFormat                                          │
│    2512 │     Represents the dataset format used when running a monitoring j │
│                                                                              │
│ in pydantic.main.ModelMetaclass.__new__:186                                  │
│                                                                              │
│ in pydantic.utils.validate_field_name:168                                    │
╰──────────────────────────────────────────────────────────────────────────────╯
NameError: Field name "json" shadows a BaseModel attribute; use a different 
field name with "alias='json'".

Environment

• **AWS Step Functions Data Science Python SDK version : 2.3.0
• **Python Version: Python 3.10.15

This is 🐛 Bug Report

[ZMarouani]

Maybe somehow related to similare issue here aws/sagemaker-python-sdk#4944

[ZMarouani]

Fixed by downgrading sagemaker dependency that is installed automatically to latest according to sfn sdk requirements.txt

sagemaker>=2.1.0
boto3>=1.14.38
pyyaml

Now im using sagemaker = ">=2.1.0,<2.231.0"