feat: invert call stack in flame graph to render as icicle graph

[cathaysia]

add a invert callstack checkbox.

before:

after:

fix #6077

[codecov]

Codecov Report

❌ Patch coverage is 77.04082% with 45 lines in your changes missing coverage. Please review.
✅ Project coverage is 83.33%. Comparing base (2cb282f) to head (1f13270).
⚠️ Report is 75 commits behind head on main.

Files with missing lines	Patch %	Lines
src/profile-logic/flame-graph.ts	72.26%	38 Missing ⚠️
src/selectors/per-thread/stack-sample.ts	81.48%	5 Missing ⚠️
src/components/flame-graph/Canvas.tsx	92.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #6090      +/-   ##
==========================================
- Coverage   83.69%   83.33%   -0.36%     
==========================================
  Files         338      339       +1     
  Lines       35693    36098     +405     
  Branches     9904    10096     +192     
==========================================
+ Hits        29873    30084     +211     
- Misses       5392     5586     +194     
  Partials      428      428              

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[cathaysia]

Hello, is anyone reviewing this PR? I don't have the permission to request a review.

[cathaysia]

https://firefox-profiler.netlify.app/

[mstange]

Unfortunately this implementation is too slow on large profiles. For example, clicking the "Invert call stack" checkbox on this flame graph causes the page to hang permanently:

https://deploy-preview-6090--perf-html.netlify.app/public/54908b38j3brzm4vw7mw3k3sqn3sf6vzfe95sxg/flame-graph/?globalTrackOrder=d59g1b7feac8x63402s6rx0mx4x3jthvilpnx5ux1qox2k&hiddenGlobalTracks=0wcewx6&profileName=Firefox%20Win%20Sp3%2015x%2020260304&thread=d&v=16

Furthermore, I think this view is only useful if most of the time is spent in a single leaf function. Once you have time spread over many different leaves, the inverted flame graph becomes less useful because all the root nodes will be very small boxes, and then their children are even smaller boxes.

However, what can be useful is the inverted flame graph for a single leaf function. In #5233 I'm prototyping a panel where you can select a function on the left side, and then see flame graphs for that function on the right side. When limited to a single function, computing the inverted flame graph can be done in reasonable time because the number of nodes in the tree is much more limited.

Here's an example:

https://deploy-preview-5233--perf-html.netlify.app/public/54908b38j3brzm4vw7mw3k3sqn3sf6vzfe95sxg/function-list/?funcListSections=descendants%2Cancestors&globalTrackOrder=d59g1b7feac8x63402s6rx0mx4x3jthvilpnx5ux1qox2k&hiddenGlobalTracks=0wcewx6&profileName=Firefox%20Win%20Sp3%2015x%2020260304&selectedFunc=23546&thread=d&v=17

[cathaysia]

Thanks for the large-profile test case. I reproduced the hang locally with the profile from the preview link: computing the inverted flame graph timing for thread d ran out of memory with an 8GB JS heap.

I pushed 1f13270a2 to address this:

• non-inverted flame graphs are back on the original FlameGraphRows + getFlameGraphTiming path, so they no longer go through the generic CallTree traversal;
• inverted flame graphs now use a dedicated timing builder based on CallNodeInfoInverted + CallTreeTimingsInverted, avoiding CallTree.getNodeData() and the display-layer traversal;
• the inverted builder prunes boxes narrower than 1 / 16384, because the flame graph has no horizontal zoom and those boxes cannot be meaningfully read or hovered even on very wide displays. This also avoids materializing huge invisible inverted subtrees.

With the same large profile / thread d, the selector now completes locally in about 1.6s and produces 242 rows / 42,238 boxes instead of OOMing.

I also added a regression test for the same-name-node case so the inverted tree does not combine unrelated call paths such as A -> B -> C and A -> C -> D into impossible paths.

[cathaysia]

Actually, I think it would be more appropriate to move the data processing part to WASM. Rust can precisely control memory, and Rust itself provides many tools for benchmarking.