Skip to main content

Solution to being able to use ItemTips smartly in Listboxes.

A few months ago, I posted a problem on the Foxite forum about a problem with FoxPro listboxes and ItemTips.

ItemTips, for those who weren't aware, is a property that when turned on, will show the entire item text when there isn't sufficient space in the width of a listbox.

The problem arises however if you are using two (or more) columns with the listbox and the total width of the list is sufficient but the first column doesn't.

Example
x = createobject("Form")
x.addobject("listbox","listbox")
x.listbox.columncount = 2
x.listbox.columnwidths = "125,50"
x.listbox.additem("This is my long item in my listbox")
x.listbox.additem("This is my longer item in my list")
x.listbox.additem("This is my short item")
x.listbox.visible = .t.
x.listbox.itemtips = .t.
x.listbox.width = 200
x.show()

If you move your mouse over the first item, you will see the tip.
If you move your mouse over the second item, you won't - because the actual text WOULD fit into the text box if you weren't using 2 columns.

Here's the BEFORE picture:

The only solution I had come up with was to pad the text of the items in the list with a bunch of spaces and then some final text, which looks completely bizarre.

Thanks to Rod Lewis of Data Developers - the solution was Found!

It all comes back to the super duper ability to Hide columns. Usually FoxPro developers are used to hiding a column that they want to use as a primary key field but don't want to show it. As in:

listbox.addItem("My company name")
listbox.list(1,2) = "XIFIDSIS"
listbox.columnwidths = "200,0"
listbox.boundcolumn = 2

But this time, think about reversing the logic! When adding the items to your list, add a column before anything else and make the width 0.

Using the previous example:

x = createobject("Form")
x.addobject("listbox","listbox")
x.listbox.columncount = 3
x.listbox.columnwidths = "0,125,50"
x.listbox.additem("This is my long item in my listbox")
x.listbox.additem("This is my longer item in my list")
x.listbox.additem("This is my short item")
x.listbox.list(1,2) = x.listbox.List(1,1)
x.listbox.list(2,2) = x.listbox.List(2,1)
x.listbox.list(3,2) = x.listbox.List(3,1)

x.listbox.visible = .t.
x.listbox.itemtips = .t.
x.listbox.width = 200
x.show()

Et voila!

The ItemTip will reference the very first column which isn't really hidden - but has a width of 0 so it is invisible.

Here's a picture showing the tip:


One gotcha here: it's a good idea to keep the first part of the hidden column the same as your visible column so users can still use the auto-search with the first few letters.


Foxite.COM Visual FoxPro Forum - www.foxite.com - The Home Of The Visual FoxPro Experts

Comments

Peter said…
Sorry Andrew, it does not work for me
:-)

Peter
pac@cortiel.com
Andrew MacNeill said…
What version of VFP are you using?

I just tried it in both VFP 9 and 8 without a problem.

Did you just copy and paste the code?
Andrew MacNeill said…
I just updated it with images to show.
Anonymous said…
I have tried it on VFP8 CZ, but it doesnt work in both cases. In the first and also in the second example the tip is shown on the first line (because the last "x" of text is out of listbox frame) but is NOT shown on the second line (because the text is shorter than width of listbox - although longer than first column and thus not fully visible)
Andrew MacNeill said…
Note that you do HAVE to make sure the first column is wider than the entire width of the listbox.

Popular posts from this blog

Elevating Project Specifications with Three Insightful ChatGPT Prompts

For developers and testers, ChatGPT, the freely accessible tool from OpenAI, is game-changing. If you want to learn a new programming language, ask for samples or have it convert your existing code. This can be done in Visual Studio Code (using GitHub CoPilot) or directly in the ChatGPT app or web site.  If you’re a tester, ChatGPT can write a test spec or actual test code (if you use Jest or Cypress) based on existing code, copied and pasted into the input area. But ChatGPT can be of huge value for analysts (whether system or business) who need to validate their needs. There’s often a disconnect between developers and analysts. Analysts complain that developers don’t build what they asked for or ask too many questions. Developers complain that analysts haven’t thought of obvious things. In these situations, ChatGPT can be a great intermediary. At its worst, it forces you to think about and then discount obvious issues. At best, it clarifies the needs into documented requirements. ...

Respect

Respect is something humans give to each other through personal connection. It’s the bond that forms when we recognize something—or someone—as significant, relatable, or worthy of care. This connection doesn’t have to be limited to people. There was an  article  recently that described the differing attitudes towards AI tools such as ChatGPT and Google Gemini (formerly Bard). Some people treat them like a standard search while others form a sort of personal relationship — being courteous, saying “please” and “thank you”. Occasionally, people share extra details unrelated to their question, like, ‘I’m going to a wedding. What flower goes well with a tuxedo?’ Does an AI “care” how you respond to it? Of course not — it reflects the patterns it’s trained on. Yet our interaction shapes how these tools evolve, and that influence is something we should take seriously. Most of us have all expressed frustration when an AI “hallucinates”. Real or not, the larger issue is that we have hi...

When A Machine Starts To Care

“Any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clarke (1962)  I first used that quote when I was starting out in the tech industry. Back then, it was a way to illustrate just how fast and powerful computers had become. Querying large datasets in seconds felt magical—at least to those who didn’t build them.  Today, we’re facing something even more extraordinary. Large Language Models (LLMs) can now carry on conversations that approach human-level fluency. Clarke’s quote applies again. And just as importantly, many researchers argue that LLMs meet—or at least brush up against—the criteria of the Turing Test.  We tend to criticize LLMs for their “hallucinations,” their sometimes-confident inaccuracies. But let’s be honest: we also complain when our friends misremember facts or recount things inaccurately. This doesn’t excuse LLMs—it simply highlights that the behavior isn’t entirely alien. In some ways, it mirrors our own cognitive limits....