Further changes to messages.
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@ -7,7 +7,6 @@ import (
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"io/ioutil"
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"os"
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"os/signal"
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"strings"
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"time"
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"coopcloud.tech/abra/pkg/upstream/convert"
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@ -416,7 +415,7 @@ func deployServices(
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return nil
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}
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logrus.Infof("Starting to poll for deployment status for: %s", strings.Join(serviceNames, ", "))
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logrus.Infof("Starting to poll for deployment status for: %s", appName)
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ch := make(chan error, len(serviceIDs))
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for serviceID, serviceName := range serviceIDs {
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logrus.Debugf("waiting on %s to converge", serviceName)
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@ -433,7 +432,7 @@ func deployServices(
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logrus.Debugf("assuming %s converged successfully", serviceID)
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}
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logrus.Infof("Successfully deployed %s to %s 👌", appName, namespace.Name())
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logrus.Infof("Successfully deployed %s", appName)
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return nil
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}
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@ -473,24 +472,12 @@ func WaitOnService(ctx context.Context, cl *dockerClient.Client, serviceID, appN
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return err
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case <-sigintChannel:
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return fmt.Errorf(fmt.Sprintf(`
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The wait for %s to converge was interrupted.
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Cancelling polling for %s, deployment is still continuing.
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This does not necessarily mean your deployment has stopped, but we aren't
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monitoring it anymore
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If you want to stop the deployment try:
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abra app undeploy %s
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You can track latest deployment status with:
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abra app ps --watch %s
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And inspect the logs with:
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abra app logs %s
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If a service is failing to even start, try to smoke out the error with:
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abra app errors --watch %s
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`, appName, appName, appName, appName))
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`, appName, appName))
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case <-time.After(timeout):
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return fmt.Errorf(fmt.Sprintf(`
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%s has not converged (%s second timeout reached).
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