![]() Fix timer auto-start when multiple projects are opened at the same time.Added optional git integration and made it possible to configure the behavior, right click the timer widget.Added buttons to reset and manually add time.Improved behavior when working on multiple projects - trackers in other windows will automatically pause when one in active window starts counting.Fix exception when closing project window.Fix widget not being removed on project change.Fix thread problem that caused crashes on IntelliJ 2017.3.3.Attempt to fix git integration time sometimes not resetting after commit.Fix occasional git time file creation failure.Ability to specify path to git hooks when the default one is invalid (can happen for some non-standard git setups). ![]() Ability to save and load default configuration of the plugin.Added option to stop, rather than pause, after being idle.Short times away can be counted in automatically. After being paused (idle or in different IDE window), balloon with the idle duration appears and allows to count the idle time in.Specify the pattern with which the time shown in the widget and injected into the commits should be formatted (patterns can be different).Issue 1119 - Fixed an issue with SObject fields in the OST when working against an org with an unmapped namespace where the field names wouldn't properly include the namespace prefix. Initial feedback from users for this fix seems to be positive, so fingers crossed that this takes care of it! Now the editor/filesystem state is checked/synchronized after every save to the local filesystem. Issue 1104 - Another prospective fix for the issue with a stale tab modified indicator. Note that such files will still cause issues during deployment in non-SFDX projects. Issue 1103 - Tabbed editors for Lightning bundles no longer preclude access to non-bundle content files such as Jest tests. This issue was manifesting most often with CustomMetadata and WebLink metadata. Issue 1031 - Fixed an issue that would cause the deployment/retrieval dialog to omit all but one entry for metadata types that encountered an issue when queried in conjunction with other metadata types. Every future push on your Cloud Function Branch leads to an automatic redeployment of the Cloud Function.Issue 991 - Fixed an OST generation issue that could occur in orgs with more than 2000 custom classes that don't also exist in the local project. Your development is thus directly connected to the provided function, so to speak. Once development is complete, this Cloud Function is deployed to the Google Cloud Function Service using the Google Cloud Build Service. You can test or run this cloud function locally before. After cloning our template repository you can create your own cloud function on each new branch. I would like to introduce the following workflow and guide you on how to build it. I assume you have basic knowledge of Google Cloud Functions. Your computer should have the Google Cloud SDK and git installed. No local testing/execution before deployment. However, it lacks trivial functions unlike a normal IDE like P圜harm. Google allows writing the cloud function on a web interface within a Google code editor. We were trying to find a way at the time that would allow us to develop Google Cloud Functions that would process files from Google Cloud Storage. We have read through countless documentations and would now like to compile our findings here.Ĭurrently, we are working on building a data lake. I would like to describe here how I and my teammate Crosi found a way for us to develop Google Cloud Functions locally and then deploy them in an automated way using the Google Build service.
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