Andy in the Cloud

From BBC Basic to Force.com and beyond…


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Highlights from TrailheaDX 2017

IMG_2857.JPGThis was my first TrailheaDX and what an event it was! With my Field Guide in hand i set out into the wilderness! In this blog i’ll share some of my highlights, thoughts and links to the latest resources. Many of the newly announced things you can actually get your hands on now which is amazing!

Overall the event felt well organized, if a little frantic at times. With smaller sessions of 30 minutes each, often 20 mins after intros and questions, each was bite sized, but quite well tuned with demos and code samples being shown.

SalesforceDX, Salesforce announced the public beta of this new technology aimed at improving the developer experience on the platform. SalesforceDX consist of several modules that will be extended further over time. Salesforce has done a great job at providing a wealth of Trailhead resources to get you started.

Einstein, Since its announcement, myself and other developers have been waiting to get access to more custom tools and API’s, well now that wait is well and truly over. As per my previous blogs we’ve had the Einstein Vision API for a little while now. Announced at the event where no less than three other new Einstein related tools and API’s.

  • Einstein Discovery. Salesforce demonstrated a very slick looking tool that allows you to point and click your way through to analyzing various data sets, including those obtained from your custom objects! They have provided a Trailhead module on it here and i plan on digging in! Pricing and further info is here.
  • Einstein Sentiment API. Allows you to interpret text strings for terms that indicate if its a positive, neutral or negative statement / sentiment. This can be used to scan case comments, forum posts, feedback, twitter posts etc in an automated way and respond or be alerted accordingly to what is being said.
  • Einstein Intent API.  Allows you to interpret text strings for meanings, such as instructions or requests. Routing case comments or even implementing bots that can help automate or propose actions to be taken without human interpretation.
  • Einstein Object Detection API. Is an extension of the Einstein Vision API, that allows for individual items in a picture to be identified. For example a pile of items on a coffee table, such as a mug, magazine, laptop or pot plant! Each can then be recognized and classified to build up more intel on whats in the picture for further processing and analysis.
  • PredictionIO on Heroku. Finally, if you want to go below the declarative tools or intentional simplified Einstein API’s, you can build your own machine learning models using Heroku and the PredictionIO build pack!

Platform Events. These allow messages to be published and subscribed to using a new object known as an Event object, suffixed with __e. Once created you can use a new Apex API’s or REST API’s to send messages and use either Apex Triggers or Streaming API to receive them. There is also a new Process Builder action or Flow element to send messages. You can keep your messages within Force.com or use them to integrate between other cloud platforms or the browser. The possibilities are quite endless here, aysnc processing, inter app comms, logging, ui notifications…. i’m sure myself and other bloggers will be exploring them in the coming months!

External Services. If you find a cool API you want to consume in Force.com you currently have to write some code. No longer! If you have a schema that describes that API you use the External Services wizard to generate some Apex code that will call out to the API. Whats special about this, is the Apex code is accessible via Process Builder and Flow. Making clicks not code API integration possible. Its an excellent way to integrate with complementary services you or others might develop on platforms such as Heroku. I have just submitted a session to Dreamforce 2017 to explore this further, fingers crossed it gets selected! You can read more about it here in the meantime.

Sadly i did have to make a key decision to focus on the above topics and not so much on Lightning. I heard from other attendees these sessions where excellent and i did catch a brief sight of dynamic component rendering in Lightning App Builder, very cool!

Thanks Salesforce for filling my blog backlog for the next year or so! 😉

 

 


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Apex UML Canvas Tool : Dreamforce Release!

Screen Shot 2013-10-14 at 22.16.58

Update: Dreamforce is over for another year! Thanks to everyone who supported me and came along to the session. Salesforce have now uploaded a recording of the session here and can find the slides here.

As those following my blog will know one of the sessions I’ll be running at this years Dreamforce event is around the Tooling API and Canvas technologies. If you’ve not read about what I’m doing check out my previous blog here. I’ve now uploaded the code to the tool I’ve developed that will be show casing these technologies. I’ll be walking through key parts of it in the session, please do feel free to take a look and give me your thoughts ahead or at the session if your attending!

Installing the Tool

You now also install the tool as a managed package into your development org by following these steps.

  1. Install the package using the package install link from the GitHub repo README file.
  2. Installed is a tab which shows a Visualforce page which hosts the externally hosted (on Heroku) Canvas application.
  3. You need to configure access to the Canvas application post installation, you can follow the Salesforce guidelines on screen and/or the ones here.Screen Shot 2013-11-12 at 17.52.55
  4. Click the link to configure and edit the “Admin approved users are pre-authorised” option and save.Screen Shot 2013-11-12 at 17.53.54
  5. Finally edit your Profile and enable the Connected App (and Tab if needed)Screen Shot 2013-11-12 at 17.57.08

Using the Tool

Screen Shot 2013-11-12 at 17.41.16

  • The tool displays a list of the Apex classes (unmanaged) in your org on the left hand side, tick a class to show it in the canvas.
  • Move the Apex class UML representation around with your mouse, if it or other classes reference each other lines will be drawn automatically.
  • There is some issues with dragging, if you get mixed up, just click the canvas to deselect everything then click what you want.

It is quite basic still, only showing methods, properties and ‘usage’ relationships and really needs some further community push behind it to progress a long line of cool features that could be added. Take a look at the comments and discussion on my last post for some more ideas on this. Look forward to see you all at Dreamforce 2013!


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Preview: Demo of Apex Code Analysis using the Tooling API and Canvas

This weekend I’ve been fleshing out the code for my second Dreamforce 2013 session. I’ve been having a lot of fun with various technologies to create the following demo which I’ve shared a short work in progress video below. The JQuery plugin doing the rendering is js-mindmap, it’s got some quirks I’ve discovered so far, but I’m sticky with it for now!

The session highlights the Tooling API via this tool which can be installed directly into your Salesforce environment via the wonderful Salesforce Canvas technology! This is proposed session abstract …

Dreamforce 2013 Session: Apex Code Analysis using the Tooling API and Canvas

The Tooling API provides powerful new ways to manage your code and get further insight into how its structured. This session will teach you how to use the Tooling API and its Symbol Table to analyse your code using an application integrated via Force.com Canvas directly into your Salesforce org — no command line or desktop install required! Join us and take your knowledge of how your Apex code is really structured to the next level!

Technologies involved so far…

I’ve also found the excellent ObjectAid Eclipse plugin (which is sadly a Java source code only tool) to explore the Tooling API data structures in much more detail than the Salesforce documentation currently offers, especially in respect to the SymbolTable structure. I’ll be sharing full code and discussing the following diagram in more detail in my session! In the meantime I’d love to know your thoughts and other ideas around the Tooling API!

Tooling API