# ContextPlugin

Process once, with [Context](https://github.com/pyblish/api/tree/9d41e509649f2dfb91bc4d595aebabed2dc0512f/pages/context.md) as input.

| Source                                                                                                               | Added |
| -------------------------------------------------------------------------------------------------------------------- | ----- |
| [Link](https://github.com/pyblish/pyblish-base/blob/f695fad94b995915495b4123c503f24d3419429a/pyblish/plugin.py#L350) | 1.3.0 |

Inherits [Plugin](/pyblish.api/plugin.md)

## Public Functions

| Output | Method                                                                                             |
| -----: | -------------------------------------------------------------------------------------------------- |
|        | [process](/pyblish.api/contextplugin/contextplugin.process.md)([context](/pyblish.api/context.md)) |

## Usage

The `ContextPlugin` is used for processing an entire scene or workspace. It is typically used during the collection portion of publishing, where data is identified and encapsulated in one or more [Instances](https://github.com/pyblish/api/tree/9d41e509649f2dfb91bc4d595aebabed2dc0512f/pages/instance.md), but can in general be used for any processing that doesn't require access to any particular [Instance](https://github.com/pyblish/api/tree/9d41e509649f2dfb91bc4d595aebabed2dc0512f/pages/instance.md).

## Example

```python
import pyblish.api as pyblish

class MyCollector(pyblish.ContextPlugin):
    order = pyblish.CollectorOrder

    def process(self, context):
        context.create_instance("MyInstance")
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://api.pyblish.com/pyblish.api/contextplugin.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.