Comments (3)
Note on getting rid of the message: "X used a workflow template etc" – according to this thread, we need to create the workflow from scratch. Womp womp. (But at least it's not part of how we call the webhook.)
from deepcell-imaging.
The text body supports some markdown (docs, card schema) – this json sends a hyperlink!
{
"type": "message",
"attachments": [
{
"contentType": "application/vnd.microsoft.card.adaptive",
"contentUrl": null,
"content": {
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
"type": "AdaptiveCard",
"version": "1.2",
"body": [
{
"type": "TextBlock",
"text": "Sample Text Again! [link to google!](http://google.com)"
}
]
}
}
]
}
Screenshot of card w/ hyperlink:
![Screenshot 2024-07-19 at 1 42 07 PM](https://private-user-images.githubusercontent.com/352005/350547611-4a87d0d5-cc1a-46cf-8680-773da93dc603.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjMzNTQzNDksIm5iZiI6MTcyMzM1NDA0OSwicGF0aCI6Ii8zNTIwMDUvMzUwNTQ3NjExLTRhODdkMGQ1LWNjMWEtNDZjZi04NjgwLTc3M2RhOTNkYzYwMy5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwODExJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDgxMVQwNTI3MjlaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT05YzY0NjI0MzI4MGY3NDBmZWI0YWUzZTlmZDFkNDNiNDFkODM3ODEyODI5MDlkZmE1YzY1ZjUwMDBkZWNmNDZjJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.73f-NKJvwhPiRGgG5BXD-9ansVX5zWhiItGJ221pwAA)
from deepcell-imaging.
Bumping this back to 'Waiting' because this finish notification will go somewhere in #292, #293, #294
from deepcell-imaging.
Related Issues (20)
- Try HDF5 save format for faster model load HOT 3
- Migrate to gs-fastcopy
- Change benchmark.py to new schema HOT 1
- Bring multi-step to parity with benchmark.py HOT 1
- Bug: run-job scripts using wrong container tag
- Consider including TF model on Docker container
- Log entries are duplicated
- Add script to run DeepCell with QuPath conventions HOT 5
- Add parameter for batch job configuration
- Need to thread compartment through parameters
- Add benchmark for serial smart_open vs parallel gs_fastcopy transfers HOT 1
- Create job that processes multiple inputs HOT 1
- Create job that runs qupath creation script on a dataset root HOT 6
- Create qupath initializer job-runner that runs creation dependent on prediction HOT 1
- Add benchmark for just gs_fastcopy
- Add user-project parameters to storage interactions
- Split tiff output by compartment
- Recreate StringIO on each BQ upload try
- Increase boot disk size based on input size
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from deepcell-imaging.