# mypy-boto3-datapipeline
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![boto3.typed](https://github.com/vemel/mypy_boto3_builder/raw/master/logo.png)
Type annotations for
[boto3.DataPipeline 1.17.0](https://boto3.amazonaws.com/v1/documentation/api/1.17.0/reference/services/datapipeline.html#DataPipeline) service
compatible with
[VSCode](https://code.visualstudio.com/),
[PyCharm](https://www.jetbrains.com/pycharm/),
[Emacs](https://www.gnu.org/software/emacs/),
[Sublime Text](https://www.sublimetext.com/),
[mypy](https://github.com/python/mypy),
[pyright](https://github.com/microsoft/pyright)
and other tools.
Generated by [mypy-boto3-buider 4.3.1](https://github.com/vemel/mypy_boto3_builder).
More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page.
See how it helps to find and fix potential bugs:
![boto3-stubs demo](https://github.com/vemel/mypy_boto3_builder/raw/master/demo.gif)
- [mypy-boto3-datapipeline](#mypy-boto3-datapipeline)
- [How to install](#how-to-install)
- [Usage](#usage)
- [VSCode](#vscode)
- [PyCharm](#pycharm)
- [Other IDEs](#other-ides)
- [mypy](#mypy)
- [pyright](#pyright)
- [Explicit type annotations](#explicit-type-annotations)
- [Client annotations](#client-annotations)
- [Paginators annotations](#paginators-annotations)
- [Waiters annotations](#waiters-annotations)
- [Service Resource annotations](#service-resource-annotations)
- [Other resources annotations](#other-resources-annotations)
- [Collections annotations](#collections-annotations)
- [Typed dictionations](#typed-dictionations)
## How to install
Install `boto3-stubs` for `DataPipeline` service.
```bash
python -m pip install boto3-stubs[datapipeline]
```
## Usage
### VSCode
- Install [Python extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python)
- Install [Pylance extension](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance)
- Set `Pylance` as your Python Language Server
- Install `boto-stubs[datapipeline]` in your environment: `python -m pip install 'boto3-stubs[datapipeline]'`
Both type checking and auto-complete should work for `DataPipeline` service.
No explicit type annotations required, write your `boto3` code as usual.
### PyCharm
- Install `boto-stubs[datapipeline]` in your environment: `python -m pip install 'boto3-stubs[datapipeline]'`
Both type checking and auto-complete should work for `DataPipeline` service.
No explicit type annotations required, write your `boto3` code as usual.
Auto-complete can be slow on big projects or if you have a lot of installed `boto3-stubs` submodules.
### Other IDEs
Not tested, but as long as your IDE support `mypy` or `pyright`, everything should work.
### mypy
- Install `mypy`: `python -m pip install mypy`
- Install `boto-stubs[datapipeline]` in your environment: `python -m pip install 'boto3-stubs[datapipeline]'`
- Run `mypy` as usual
Type checking should work for `DataPipeline` service.
No explicit type annotations required, write your `boto3` code as usual.
### pyright
- Install `pyright`: `yarn global add pyright`
- Install `boto-stubs[datapipeline]` in your environment: `python -m pip install 'boto3-stubs[datapipeline]'`
- Optionally, you can install `boto3-stubs` to `typings` folder.
Type checking should work for `DataPipeline` service.
No explicit type annotations required, write your `boto3` code as usual.
## Explicit type annotations
### Client annotations
`DataPipelineClient` provides annotations for `boto3.client("datapipeline")`.
```python
import boto3
from mypy_boto3_datapipeline import DataPipelineClient
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
from mypy_boto3_datapipeline import DataPipelineClient
from mypy_boto3_datapipeline.paginator import (
DescribeObjectsPaginator,
ListPipelinesPaginator,
QueryObjectsPaginator,
)
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
from mypy_boto3_datapipeline.type_defs import (
CreatePipelineOutputTypeDef,
DescribeObjectsOutputTypeDef,
DescribePipelinesOutputTypeDef,
EvaluateExpressionOutputTypeDef,
FieldTypeDef,
GetPipelineDefinitionOutputTypeDef,
InstanceIdentityTypeDef,
ListPipelinesOutputTypeDef,
OperatorTypeDef,
PaginatorConfigTypeDef,
ParameterAttributeTypeDef,
ParameterObjectTypeDef,
ParameterValueTypeDef,
PipelineDescriptionTypeDef,
PipelineIdNameTypeDef,
PipelineObjectTypeDef,
PollForTaskOutputTypeDef,
PutPipelineDefinitionOutputTypeDef,
QueryObjectsOutputTypeDef,
QueryTypeDef,
ReportTaskProgressOutputTypeDef,
ReportTaskRunnerHeartbeatOutputTypeDef,
ResponseMetadata,
SelectorTypeDef,
TagTypeDef,
TaskObjectTypeDef,
ValidatePipelineDefinitionOutputTypeDef,
ValidationErrorTypeDef,
ValidationWarningTypeDef,
)
def get_structure() -> FieldTypeDef:
return {
...
}
```