> For the complete documentation index, see [llms.txt](https://pyot.iann838.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pyot.iann838.com/pipeline/object.md).

# Object

Each created pipeline can be accessed in a dictionary at the `pyot.conf.pipeline` module. The key of the pipeline is the name provided in the configuration, if the pipeline is set as default, model name can be used aswell.

```python
from pyot.conf.pipeline import pipelines

lol_pipeline = pipelines["lol"]
```

### *class* `Pipeline`

Definitions:

* `__init__`
  * `model`: `str`

    > Model of belonging.
  * `name`: `str`

    > Name of pipeline.
  * `stores`: `List[Store]`

    > List of Stores to add on the pipeline.
* `__iter__`

  > Iterates over `stores`.
* `__getitem__`

  > Get store by index.

Attributes:

* `model`: `str`
* `name`: `str`
* `stores`: `List[StoreObject]`
* `sessions`: `ResourceTemplate[aiohttp.ClientSession]`

Methods:

* *async* `get` -> `Any`
  * `token`: `PipelineToken`

    > Token identifying the data, created by `token()` on Pyot Core objects.
* *async* `set` -> `None`
  * `token`: `PipelineToken`

    > Token identifying the data, created by `token()` on Pyot Core objects.
  * `value`: `Any`

    > Data to be stored in qualified stores.
  * `stop`: `Store = None`

    > The instance of the store that it should stop at (not sink further).
* *async* `post` -> `Any`
  * `token`: `PipelineToken`

    > Token identifying the data, created by `token()` on Pyot Core objects.
  * `body` -> `Any`

    > Body of the request.
* *async* `put` -> `Any`
  * `token`: `PipelineToken`

    > Token identifying the data, created by `token()` on Pyot Core objects.
  * `body` -> `Any`

    > Body of the request.
* *async* `clear` -> `None`

  > Clear data in all stores.
* *async* `expire` -> `None`

  > Expire data in all the stores, used for stores that cannot automatically expire data on its own.
* *async* `delete` -> `None`
  * `token`: `PipelineToken`

    > Token identifying the data, created by `token()` on Pyot Core objects.
* *async* `contains` -> `bool`
  * `token`: `PipelineToken`

    > Token identifying the data, created by `token()` on Pyot Core objects.

## Example

```python
from pyot.conf.pipeline import pipelines
from pyot.utils.runners import loop_run

async def clear_cache_lol():
    lol_pipeline = pipelines["lol"]
    await lol_pipeline.clear()

loop_run(clear_everything())
```