# mypy-boto3-datapipeline
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Type annotations for
[boto3.DataPipeline 1.14.51](https://boto3.amazonaws.com/v1/documentation/api/1.14.51/reference/services/datapipeline.html#DataPipeline) service
compatible with [mypy](https://github.com/python/mypy), [VSCode](https://code.visualstudio.com/),
[PyCharm](https://www.jetbrains.com/pycharm/) and other tools.
Generated by [mypy-boto3-buider 2.3.1](https://github.com/vemel/mypy_boto3_builder).
More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page.
## How to install
Make sure you have [mypy](https://github.com/python/mypy) installed and activated in your IDE.
Install `boto3-stubs` for `DataPipeline` service.
```bash
python -m pip install boto3-stubs[datapipeline]
```
## How to use
### Client annotations
`DataPipelineClient` provides annotations for `boto3.client("datapipeline")`.
```python
import boto3
from mypy_boto3_datapipeline import DataPipelineClient
from mypy_boto3_datapipeline.paginator import (
DescribeObjectsPaginator,
ListPipelinesPaginator,
QueryObjectsPaginator,
)
from mypy_boto3_datapipeline.type_defs import FieldTypeDef, ...
client: DataPipelineClient = boto3.client("datapipeline")
# now client usage is checked by mypy and IDE should provide code auto-complete
# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: DataPipelineClient = session.client("datapipeline")
```
### Paginators annotations
`mypy_boto3_datapipeline.paginator` module contains type annotations for all paginators.
```python
client: DataPipelineClient = boto3.client("datapipeline")
# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_objects_paginator: DescribeObjectsPaginator = client.get_paginator("describe_objects")
list_pipelines_paginator: ListPipelinesPaginator = client.get_paginator("list_pipelines")
query_objects_paginator: QueryObjectsPaginator = client.get_paginator("query_objects")
```
### Typed dictionations
`mypy_boto3_datapipeline.type_defs` module contains structures and shapes assembled
to typed dictionaries for additional type checking.
```python
def get_structure() -> FieldTypeDef:
return {
...
}
```
## Dynamic type annotations
`mypy_boto3` command generates `boto3.client/resource` type annotations for
`mypy_boto3_datapipeline` and other installed services.
```bash
# Run this command after you add or remove service packages
python -m mypy_boto3
```
Generated type annotations provide overloads for `boto3.client` and `boto3.resource`,
`boto3.Session.client` and `boto3.Session.resource` functions,
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 if you have many services installed
- `VSCode` does not currently support function overloads, use explicit type annotations
```python
# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("datapipeline")
session_client = boto3.Session().client("datapipeline")
```
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mypy-boto3-datapipeline-1.14.51.1.tar.gz (17个子文件)
mypy-boto3-datapipeline-1.14.51.1
PKG-INFO 6KB
mypy_boto3_datapipeline.egg-info
PKG-INFO 6KB
requires.txt 45B
not-zip-safe 1B
SOURCES.txt 546B
top_level.txt 24B
dependency_links.txt 1B
mypy_boto3_datapipeline
type_defs.py 7KB
py.typed 0B
client.py 10KB
__main__.py 0B
__init__.py 1KB
paginator.py 3KB
version.py 57B
setup.cfg 38B
setup.py 2KB
README.md 4KB
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