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Fix docstrings
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@ -92,7 +92,7 @@ if __name__ == '__main__':
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# set the pipeline steps default execution queue (per specific step we can override it with the decorator)
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# set the pipeline steps default execution queue (per specific step we can override it with the decorator)
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# PipelineDecorator.set_default_execution_queue('default')
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# PipelineDecorator.set_default_execution_queue('default')
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# Run the pipeline steps as subprocesses on the current machine, great for local executions
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# Run the pipeline steps as subprocesses on the current machine, great for local executions
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# (for easy development / debugging, use `PipelineDecorator.pipeline()` to execute steps as regular functions)
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# (for easy development / debugging, use `PipelineDecorator.debug_pipeline()` to execute steps as regular functions)
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PipelineDecorator.run_locally()
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PipelineDecorator.run_locally()
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# Start the pipeline execution logic.
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# Start the pipeline execution logic.
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@ -1,13 +1,13 @@
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"""
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"""
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Create a ClearML Monitoring Service that posts alerts on Slack Channel groups based on some logic
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Create a ClearML Monitoring Service that posts alerts on Slack Channel groups based on some logic
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Creating a new Slack Bot (Allegro ClearML Bot):
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Creating a new Slack Bot (ClearML Bot):
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1. Login to your Slack account
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1. Login to your Slack account
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2. Go to https://api.slack.com/apps/new
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2. Go to https://api.slack.com/apps/new
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3. Give the new App a name (For example "Allegro Train Bot") and select your workspace
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3. Give the new App a name (For example "ClearML Bot") and select your workspace
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4. Press Create App
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4. Press Create App
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5. In "Basic Information" under "Display Information" fill in the following fields
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5. In "Basic Information" under "Display Information" fill in the following fields
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- In "Short description" insert "Allegro Train Bot"
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- In "Short description" insert "ClearML Bot"
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- In "Background color" insert #202432
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- In "Background color" insert #202432
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6. Press Save Changes
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6. Press Save Changes
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7. In "OAuth & Permissions" under "Scopes" click on "Add an OAuth Scope" and
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7. In "OAuth & Permissions" under "Scopes" click on "Add an OAuth Scope" and
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@ -18,7 +18,7 @@ Creating a new Slack Bot (Allegro ClearML Bot):
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8. Now under "OAuth Tokens & Redirect URLs" press on "Install App to Workspace",
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8. Now under "OAuth Tokens & Redirect URLs" press on "Install App to Workspace",
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then hit "Allow" on the confirmation dialog
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then hit "Allow" on the confirmation dialog
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9. Under "OAuth Tokens & Redirect URLs" copy the "Bot User OAuth Access Token" by clicking on "Copy" button
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9. Under "OAuth Tokens & Redirect URLs" copy the "Bot User OAuth Access Token" by clicking on "Copy" button
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10. To use the copied API Token in the Allegro ClearML Slack service,
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10. To use the copied API Token in the ClearML Slack service,
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execute the script with --slack_api "<api_token_here>" (notice the use of double quotes around the token)
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execute the script with --slack_api "<api_token_here>" (notice the use of double quotes around the token)
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We are done!
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We are done!
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@ -311,7 +311,7 @@ def main():
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# Let everyone know we are up and running
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# Let everyone know we are up and running
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start_message = \
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start_message = \
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'{}Allegro ClearML Slack monitoring service started\nMonitoring project \'{}\''.format(
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'{}ClearML Slack monitoring service started\nMonitoring project \'{}\''.format(
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(args.message_prefix + ' ') if args.message_prefix else '',
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(args.message_prefix + ' ') if args.message_prefix else '',
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args.project or 'all')
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args.project or 'all')
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slack_monitor.post_message(start_message)
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slack_monitor.post_message(start_message)
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