Strongly-typed, SDK-like wrapper around boto3 powered by Pydantic models from aws-resource-validator.
Project description
typed_boto3
A strongly-typed, SDK-like wrapper around boto3. Inputs and outputs on every
client method are concrete Pydantic models — no dicts, no magic strings.
Install
poetry install
typed_boto3 depends on aws-resource-validator
for the generated Pydantic models that describe every AWS request/response shape.
Usage
import typed_boto3
from typed_boto3 import ServiceName, Region, ClientConfig
from aws_resource_validator.pydantic_models.lambda_.lambda__classes import (
CreateFunctionRequestTypeDef,
FunctionCodeTypeDef,
)
config = ClientConfig(region=Region.US_EAST_1)
client = typed_boto3.client(ServiceName.LAMBDA, config) # typed as LambdaClient
resp = client.create_function(
CreateFunctionRequestTypeDef(
FunctionName="my-fn",
Runtime="python3.11",
Role="arn:aws:iam::123456789012:role/my-role",
Handler="app.handler",
Code=FunctionCodeTypeDef(ZipFile=b"..."),
)
)
# resp is a FunctionConfigurationResponseTypeDef
print(resp.FunctionArn)
The direct form is also supported:
from typed_boto3 import LambdaClient
client = LambdaClient(ClientConfig(region=Region.US_EAST_1))
Regenerating
poetry run python -m typed_boto3.generator --regions
poetry run python -m typed_boto3.generator --service lambda s3
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