# Render Blender wedges from a CSV file on Deadline Cloud
<a name="examples-jb-blender-wedge-csv"></a>

The [blender\_wedge\_from\_csv](https://github.com/aws-deadline/deadline-cloud-samples/tree/mainline/job_bundles/blender_wedge_from_csv) job bundle on the GitHub website renders a wedge from a CSV file. A wedge is a set of look-development variations of the same Blender scene, with one image for each variation. Choose the bundle when a spreadsheet defines your job's task list: wedge variations and shot lists, simulation parameter sweeps, per-asset QC checks, and similar structured data that doesn't fit a numeric frame range.

The bundle includes a pre-submission hook that expands the CSV into the job's task parameters at submission time, so each CSV row becomes one task on the farm. The CSV is the artist-facing interface, and the hook translates it into Open Job Description task parameters with no template editing for each wedge. The hook is bundle-local: it travels with the job in `hooks.yaml` and applies only to submissions of the bundle.

The bundle requires the Deadline Cloud CLI version 0.58.0 or later with PyYAML available to `python3`, a queue with a conda queue environment that provides the `blender` package, and bundle hooks enabled once per workstation:

```
deadline config set settings.allow_bundle_hooks true
```

Submit from the bundle directory. The CLI asks for confirmation before running the bundle's hooks:

```
deadline bundle submit .
```

To wedge your own values, edit `wedges.csv`, or keep multiple CSVs and pass one with `-p WedgeCsvFile={{/path/to/my_wedges.csv}}`. The README covers the combination expression that pairs CSV columns into tasks, running the expansion locally, and the security model for bundle hooks. For workstation-wide hooks, see [Enforce fixed license limits with a Deadline Cloud submission hook](examples-license-limits-hook.md). For a frame-range Blender render, see [Render Blender scenes on Deadline Cloud](examples-jb-blender-render.md).

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Deadline Cloud. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query deadline-cloud` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).