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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) - 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 ...
)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
Add the flag
-d
if you want the analysed image to be displayed with the drawn predicted regions
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:
[
{
"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
wf_client run -i inputs.json
Last modified 2mo ago