customData attributes are not being picked up by IntelliSense

[dumptyd]

Setup	Attribute autocompletion ✅	Value autocompletion ❌

Things I've tried so far:

• Providing the values using the values and valueSet properties, together and individually.
• Restarting VSCode.
• Restarting VSCode with extensions disabled.
• Changing version to 1.
• Using a tag and then assigning the values and valueSet to it (together and individually). (This worked!)

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I want to extend IntelliSense with some global class names so they're suggested when typing <any-html-tag class=" along with other default suggestions. Is this the right way to achieve this?

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Side-note: Changes to the config are not picked up until I restart vscode or change the value of html.customData to something else and then change it back to the real path.

[aeschli]

Can you attach the data.json file?

[dumptyd]

Sure, I'm including it for documentation purposes but I just tried my own example again and seems like this was fixed somewhere along the way and it's now working as expected. (Most likely here: 77e4483)

html.html-data.json

{
  "version": 1.1,
  "globalAttributes": [
    {
      "name": "class",
      "description": "Hello, world!",
      "valueSet": "customValues",
      "values": [
        { "name": "val-1", "description": "Value 1" }
      ]
    }
  ],
  "valueSets": [
    {
      "name": "customValues",
      "values": [
        { "name": "val-2", "description": "Value 2" }
      ]
    }
  ]
}

---

I want to extend IntelliSense with some global class names so they're suggested when typing <any-html-tag class=" along with other default suggestions. Is this the right way to achieve this?

Regarding this, I tried it with class attribute and it works but it gets rid of all the other suggestions. Is it possible to extend the existing suggestions list with my own rather than overriding it?

Without html-data.json	With html-data.json

[aeschli]

The completions from the first screenshots are textual proposals gathered from the words that occur in the document. They are used by VS Code as fallback when there are no proposals from the language service.
We would have to reimplement that in the language service.