> For the complete documentation index, see [llms.txt](https://docs.deepomatic.com/platform-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.deepomatic.com/platform-documentation/deepomatic-drive/configuring-visual-automation-applications/assembling-workflows/workflow-execution.md).

# Workflow execution

The `wf_client run` command can be used to execute a project.

Use `-p {PATH TO THE WORKFLOW PROJECT}` to run a project from another directory (it defaults to current working directory) 

## Single task-group

* You can specify the analysed task group using the `--task-group` flag.
* You can pass entries using `-e entry_name:entry_value` 
* You can pass metadata using `-m metadata_name:metadata_value`
* You can provide the path to your .env file if not previously sourced using the `--env` flag

To pass several entries/metadata, simply repeat the above syntax (multiple `-e ...`)

```shell
wf_client run  --task-group pm_ouvert_avant_travaux -e image_input:./pm-ouvert-avant-travaux.jpeg 

[INFO 16:54:13.961 client.py:37] engine initialization: 0.016 seconds
[INFO 16:54:13.968 client.py:37] workflow execution: 0.002 seconds
pm_ouvert_avant_travaux:
        [✓] pm-ouvert-avant-travaux-bool (bool): True
        [✓] pm-ouvert-avant-travaux-pres-etiquette-bool (bool): True
        [✓] pm-ouvert-avant-travaux-ocr-etiquette (str): 14222
```

{% hint style="info" %}
Add the flag **`-d`**` ``if you want the analysed image to be displayed with the drawn predicted regions`
{% endhint %}

## Multiple task-groups

You can run multiple task-groups with a shared environment (like a work-order) using an input file.

The format for the input file is: 

```json
[
    {
        "task_group": "pm_ouvert_avant_travaux",
        "entries": {
            "image_input": "./pm-ouvert-avant-travaux.jpeg"
        },
        "metadata": {
            "key": "value"
        }
    },
    {
        "task_group": "pm_ouvert_apres_travaux",
        "entries": {
            "image_input": "./pm-ouvert-apres-travaux.jpeg"
        }
    }
]
```

Then, running the workflow using

```bash
wf_client run -i inputs.json
```