<?xml version="1.0" encoding="UTF-8" standalone="yes" ?>
<!DOCTYPE bugzilla SYSTEM "https://bugs.webkit.org/page.cgi?id=bugzilla.dtd">

<bugzilla version="5.0.4.1"
          urlbase="https://bugs.webkit.org/"
          
          maintainer="admin@webkit.org"
>

    <bug>
          <bug_id>177264</bug_id>
          
          <creation_ts>2017-09-20 13:45:38 -0700</creation_ts>
          <short_desc>Web Inspector: Add autocompletion suggestions for CSS functions (constant(), linear-gradient(), etc)</short_desc>
          <delta_ts>2017-09-27 12:21:39 -0700</delta_ts>
          <reporter_accessible>1</reporter_accessible>
          <cclist_accessible>1</cclist_accessible>
          <classification_id>1</classification_id>
          <classification>Unclassified</classification>
          <product>WebKit</product>
          <component>Web Inspector</component>
          <version>WebKit Nightly Build</version>
          <rep_platform>All</rep_platform>
          <op_sys>All</op_sys>
          <bug_status>RESOLVED</bug_status>
          <resolution>FIXED</resolution>
          
          <see_also>https://bugs.webkit.org/show_bug.cgi?id=177346</see_also>
    
    <see_also>https://bugs.webkit.org/show_bug.cgi?id=177347</see_also>
          <bug_file_loc></bug_file_loc>
          <status_whiteboard></status_whiteboard>
          <keywords>InRadar</keywords>
          <priority>P2</priority>
          <bug_severity>Normal</bug_severity>
          <target_milestone>---</target_milestone>
          
          
          <everconfirmed>1</everconfirmed>
          <reporter name="Joseph Pecoraro">joepeck</reporter>
          <assigned_to name="Joseph Pecoraro">joepeck</assigned_to>
          <cc>commit-queue</cc>
    
    <cc>hi</cc>
    
    <cc>inspector-bugzilla-changes</cc>
    
    <cc>joepeck</cc>
    
    <cc>mattbaker</cc>
    
    <cc>simon.fraser</cc>
    
    <cc>thorton</cc>
    
    <cc>webkit-bug-importer</cc>
          

      

      

      

          <comment_sort_order>oldest_to_newest</comment_sort_order>  
          <long_desc isprivate="0" >
    <commentid>1350941</commentid>
    <comment_count>0</comment_count>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-20 13:45:38 -0700</bug_when>
    <thetext>Add autocompletions suggestions for CSS functions (constant(), linear-gradient(), etc)

Example cases:

    padding: co|
       =&gt; expected &quot;constant()&quot;

    padding: constant(|)
       =&gt; expected &quot;safe-area* keywords&quot;

    background-image: linear-gradient(|)
       =&gt; expected colors

We already did something for var() that goes down a different, dynamic path. We should be better about built-in functions and their keywords / supported values.</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1350943</commentid>
    <comment_count>1</comment_count>
      <attachid>321357</attachid>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-20 13:47:45 -0700</bug_when>
    <thetext>Created attachment 321357
[PATCH] Proposed Fix</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1350944</commentid>
    <comment_count>2</comment_count>
      <attachid>321358</attachid>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-20 13:48:13 -0700</bug_when>
    <thetext>Created attachment 321358
[IMAGE] Suggest &quot;constant()&quot;</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1350945</commentid>
    <comment_count>3</comment_count>
      <attachid>321359</attachid>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-20 13:48:37 -0700</bug_when>
    <thetext>Created attachment 321359
[IMAGE] Highlight &quot;constant()&quot; and suggest inside it</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1350950</commentid>
    <comment_count>4</comment_count>
      <attachid>321357</attachid>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-20 13:52:28 -0700</bug_when>
    <thetext>Comment on attachment 321357
[PATCH] Proposed Fix

View in context: https://bugs.webkit.org/attachment.cgi?id=321357&amp;action=review

&gt; Source/WebInspectorUI/UserInterface/Models/CSSKeywordCompletions.js:73
&gt; +    else if (functionName === &quot;image-set&quot;)

I think I will also add:

    else if (functionName === &quot;repeat&quot;)
        suggestions = suggestions.concat([&quot;auto&quot;, &quot;auto-fill&quot;, &quot;auto-fit&quot;, &quot;min-content&quot;, &quot;max-content&quot;]);

After glancing at:
https://developer.mozilla.org/en-US/docs/Web/CSS/repeat</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1350952</commentid>
    <comment_count>5</comment_count>
      <attachid>321361</attachid>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-20 13:55:27 -0700</bug_when>
    <thetext>Created attachment 321361
[PATCH] Proposed Fix</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1350964</commentid>
    <comment_count>6</comment_count>
      <attachid>321361</attachid>
    <who name="Simon Fraser (smfr)">simon.fraser</who>
    <bug_when>2017-09-20 14:03:18 -0700</bug_when>
    <thetext>Comment on attachment 321361
[PATCH] Proposed Fix

View in context: https://bugs.webkit.org/attachment.cgi?id=321361&amp;action=review

&gt; Source/WebInspectorUI/UserInterface/Models/CSSKeywordCompletions.js:72
&gt; +        suggestions = suggestions.concat([&quot;safe-area-inset-top&quot;, &quot;safe-area-inset-right&quot;, &quot;safe-area-inset-bottom&quot;, &quot;safe-area-inset-left&quot;]);

I wish we could fetch these from some central place (a JSON file).</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1351423</commentid>
    <comment_count>7</comment_count>
      <attachid>321361</attachid>
    <who name="Matt Baker">mattbaker</who>
    <bug_when>2017-09-21 15:42:22 -0700</bug_when>
    <thetext>Comment on attachment 321361
[PATCH] Proposed Fix

r=me. In the future, it would be great to provide dynamic suggestions for `var()` and `attr()`, based on the selected node.</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1351425</commentid>
    <comment_count>8</comment_count>
    <who name="Joseph Pecoraro">joepeck</who>
    <bug_when>2017-09-21 15:47:09 -0700</bug_when>
    <thetext>(In reply to Matt Baker from comment #7)
&gt; Comment on attachment 321361 [details]
&gt; [PATCH] Proposed Fix
&gt; 
&gt; r=me. In the future, it would be great to provide dynamic suggestions for
&gt; `var()` and `attr()`, based on the selected node.

Correct. CSSKeywordCompletions only produces static (keyword) suggestions without context. We do var() completions (sorta) elsewhere which allows us to correctly lookup the dynamic list applicable to the current selected node (e.g. looking up what computed properties are in scope).</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1351436</commentid>
    <comment_count>9</comment_count>
      <attachid>321361</attachid>
    <who name="WebKit Commit Bot">commit-queue</who>
    <bug_when>2017-09-21 16:05:26 -0700</bug_when>
    <thetext>Comment on attachment 321361
[PATCH] Proposed Fix

Clearing flags on attachment: 321361

Committed r222359: &lt;http://trac.webkit.org/changeset/222359&gt;</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1351437</commentid>
    <comment_count>10</comment_count>
    <who name="WebKit Commit Bot">commit-queue</who>
    <bug_when>2017-09-21 16:05:27 -0700</bug_when>
    <thetext>All reviewed patches have been landed.  Closing bug.</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1351467</commentid>
    <comment_count>11</comment_count>
    <who name="Devin Rousso">hi</who>
    <bug_when>2017-09-21 16:52:08 -0700</bug_when>
    <thetext>(In reply to Joseph Pecoraro from comment #8)
&gt; (In reply to Matt Baker from comment #7)
&gt; &gt; Comment on attachment 321361 [details]
&gt; &gt; [PATCH] Proposed Fix
&gt; &gt; 
&gt; &gt; r=me. In the future, it would be great to provide dynamic suggestions for
&gt; &gt; `var()` and `attr()`, based on the selected node.
&gt; 
&gt; Correct. CSSKeywordCompletions only produces static (keyword) suggestions
&gt; without context. We do var() completions (sorta) elsewhere which allows us
&gt; to correctly lookup the dynamic list applicable to the current selected node
&gt; (e.g. looking up what computed properties are in scope).
Just for reference, this is done in `CSSStyleDeclarationTextEditor.prototype.completionControllerCompletionsNeeded`.

I like the idea of also applying this to `attr()`!  I&apos;ll explore that when I get a chance (hopefully soon) =D</thetext>
  </long_desc><long_desc isprivate="0" >
    <commentid>1353329</commentid>
    <comment_count>12</comment_count>
    <who name="Radar WebKit Bug Importer">webkit-bug-importer</who>
    <bug_when>2017-09-27 12:21:39 -0700</bug_when>
    <thetext>&lt;rdar://problem/34693126&gt;</thetext>
  </long_desc>
      
          <attachment
              isobsolete="1"
              ispatch="1"
              isprivate="0"
          >
            <attachid>321357</attachid>
            <date>2017-09-20 13:47:45 -0700</date>
            <delta_ts>2017-09-20 13:55:27 -0700</delta_ts>
            <desc>[PATCH] Proposed Fix</desc>
            <filename>constant-1.patch</filename>
            <type>text/plain</type>
            <size>6832</size>
            <attacher name="Joseph Pecoraro">joepeck</attacher>
            
              <data encoding="base64">ZGlmZiAtLWdpdCBhL1NvdXJjZS9XZWJJbnNwZWN0b3JVSS9DaGFuZ2VMb2cgYi9Tb3VyY2UvV2Vi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==
</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>321358</attachid>
            <date>2017-09-20 13:48:13 -0700</date>
            <delta_ts>2017-09-20 13:48:13 -0700</delta_ts>
            <desc>[IMAGE] Suggest &quot;constant()&quot;</desc>
            <filename>Screen Shot 2017-09-20 at 1.41.38 PM.png</filename>
            <type>image/png</type>
            <size>31842</size>
            <attacher name="Joseph Pecoraro">joepeck</attacher>
            
              <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAVkAAACqCAYAAAAHgzzYAAAAAXNSR0IArs4c6QAAAZ1pVFh0WE1M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</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="0"
              isprivate="0"
          >
            <attachid>321359</attachid>
            <date>2017-09-20 13:48:37 -0700</date>
            <delta_ts>2017-09-20 13:48:37 -0700</delta_ts>
            <desc>[IMAGE] Highlight &quot;constant()&quot; and suggest inside it</desc>
            <filename>Screen Shot 2017-09-20 at 1.41.59 PM.png</filename>
            <type>image/png</type>
            <size>36882</size>
            <attacher name="Joseph Pecoraro">joepeck</attacher>
            
              <data encoding="base64">iVBORw0KGgoAAAANSUhEUgAAAXMAAADHCAYAAADrlrNFAAAAAXNSR0IArs4c6QAAAZ1pVFh0WE1M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</data>

          </attachment>
          <attachment
              isobsolete="0"
              ispatch="1"
              isprivate="0"
          >
            <attachid>321361</attachid>
            <date>2017-09-20 13:55:27 -0700</date>
            <delta_ts>2017-09-21 16:05:26 -0700</delta_ts>
            <desc>[PATCH] Proposed Fix</desc>
            <filename>constant-2.patch</filename>
            <type>text/plain</type>
            <size>6981</size>
            <attacher name="Joseph Pecoraro">joepeck</attacher>
            
              <data encoding="base64">ZGlmZiAtLWdpdCBhL1NvdXJjZS9XZWJJbnNwZWN0b3JVSS9DaGFuZ2VMb2cgYi9Tb3VyY2UvV2Vi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</data>

          </attachment>
      

    </bug>

</bugzilla>