mypy-boto3 1.13.26.0

Type annotations for boto3 1.13.26 master module, generated by mypy-boto3-buider 2.0.2

mypy-boto3

Dynamic boto3 1.13.26 type annotations builder for boto3-stubs.

Generated by mypy-boto3-buider 2.0.2.

More information can be found on boto3-stubs page.

• mypy-boto3
  • How to install
  • How to uninstall
  • Usage
    • Generated files
    • Dynamic type annotations

How to install

# Install type annotations for boto3 services you use
# mypy-boto3 should be installed as a dependency
python -m pip install 'boto3-stubs[s3,ec2]'

How to uninstall

# remove generated files and cache
python -m mypy_boto3 --clean

python -m pip uninstall mypy_boto3

Usage

Generate dynamic type annotations for services you installed

python -m mypy_boto3

Generated files

mypy_boto3 command creates or updates these files in it's installation directory:

• boto3_init_gen.py - annotations for boto3.client/resource
• boto3_session_gen.py - annotations for boto3.Session().client/resource
• cache.txt - information about installed services
• <service>/__init__.py - Allows to use mypy_boto3.s3 import instead of mypy_boto3_s3
• <service>/client.py - Allows to use mypy_boto3.s3.client import instead of mypy_boto3_s3.client
• <service>/type_defs.py - Allows to use mypy_boto3.s3.type_defs import instead of mypy_boto3_s3.type_defs
• <service>/service_resource.py - Allows to use mypy_boto3.s3.service_resource import instead of mypy_boto3_s3.service_resource
• <service>/waiter.py - Allows to use mypy_boto3.s3.waiter import instead of mypy_boto3_s3.waiter
• <service>/paginator.py - Allows to use mypy_boto3.s3.paginator import instead of mypy_boto3_s3.paginator

<service> is boto3 service name, e.g. s3. For lambda service, it is mypy_boto3.lambda_.

Dynamic type annotations

Generated files provide overloads for boto3.client, boto3.resource, boto3.Session.client and boto3.Session.resource functions for services currently installed, so explicit type annotations are not needed.

• mypy supports function overloads as expected
• PyCharm also supports function overloads, but consumes a lot of RAM, use carefully
• VSCode does not currently support function overloads, use explicit type annotations