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Update playwright npm packages#8569

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Update playwright npm packages#8569
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deps/js/playwright-npm-packages

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Note: This PR body was truncated due to platform limits.

This PR contains the following updates:

Package Change Age Confidence
@playwright/test (source) 1.58.2 -> 1.59.1 age confidence
@vitest/browser-playwright (source) 4.0.18 -> 4.1.2 age confidence

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Some dependencies could not be looked up. Check the Dependency Dashboard for more information.

Release Notes

microsoft/playwright (@​playwright/test)

v1.59.1

Compare Source

Bug Fixes
  • [Windows] Reverted hiding console window when spawning browser processes, which caused regressions including broken codegen, --ui and show commands (#​39990)

v1.59.0

Compare Source

🎬 Screencast

New page.screencast API provides a unified interface for capturing page content with:

  • Screencast recordings
  • Action annotations
  • Visual overlays
  • Real-time frame capture
  • Agentic video receipts
Demo

Screencast recording — record video with precise start/stop control, as an alternative to the recordVideo option:

await page.screencast.start({ path: 'video.webm' });
// ... perform actions ...
await page.screencast.stop();

Action annotations — enable built-in visual annotations that highlight interacted elements and display action titles during recording:

await page.screencast.showActions({ position: 'top-right' });

screencast.showActions() accepts position ('top-left', 'top', 'top-right', 'bottom-left', 'bottom', 'bottom-right'), duration (ms per annotation), and fontSize (px). Returns a disposable to stop showing actions.

Action annotations can also be enabled in test fixtures via the video option:

// playwright.config.ts
export default defineConfig({
  use: {
    video: {
      mode: 'on',
      show: {
        actions: { position: 'top-left' },
        test: { position: 'top-right' },
      },
    },
  },
});

Visual overlays — add chapter titles and custom HTML overlays on top of the page for richer narration:

await page.screencast.showChapter('Adding TODOs', {
  description: 'Type and press enter for each TODO',
  duration: 1000,
});

await page.screencast.showOverlay('<div style="color: red">Recording</div>');

Real-time frame capture — stream JPEG-encoded frames for custom processing like thumbnails, live previews, AI vision, and more:

await page.screencast.start({
  onFrame: ({ data }) => sendToVisionModel(data),
  size: { width: 800, height: 600 },
});

Agentic video receipts — coding agents can produce video evidence of their work. After completing a task, an agent can record a walkthrough video with rich annotations for human review:

await page.screencast.start({ path: 'receipt.webm' });
await page.screencast.showActions({ position: 'top-right' });

await page.screencast.showChapter('Verifying checkout flow', {
  description: 'Added coupon code support per ticket #&#8203;1234',
});

// Agent performs the verification steps...
await page.locator('#coupon').fill('SAVE20');
await page.locator('#apply-coupon').click();
await expect(page.locator('.discount')).toContainText('20%');

await page.screencast.showChapter('Done', {
  description: 'Coupon applied, discount reflected in total',
});

await page.screencast.stop();

The resulting video serves as a receipt: chapter titles provide context, action annotations highlight each interaction, and the visual walkthrough is faster to review than text logs.

🔗 Interoperability

New browser.bind() API makes a launched browser available for playwright-cli, @playwright/mcp, and other clients to connect to.

Bind a browser — start a browser and bind it so others can connect:

const { endpoint } = await browser.bind('my-session', {
  workspaceDir: '/my/project',
});

Connect from playwright-cli — connect to the running browser from your favorite coding agent.

playwright-cli attach my-session
playwright-cli -s my-session snapshot

Connect from @​playwright/mcp — or point your MCP server to the running browser.

@&#8203;playwright/mcp --endpoint=my-session

Connect from a Playwright client — use API to connect to the browser. Multiple clients at a time are supported!

const browser = await chromium.connect(endpoint);

Pass host and port options to bind over WebSocket instead of a named pipe:

const { endpoint } = await browser.bind('my-session', {
  host: 'localhost',
  port: 0,
});
// endpoint is a ws:// URL

Call browser.unbind() to stop accepting new connections.

📊 Observability

Run playwright-cli show to open the Dashboard that lists all the bound browsers, their statuses, and allows interacting with them:

  • See what your agent is doing on the background browsers
  • Click into the sessions for manual interventions
  • Open DevTools to inspect pages from the background browsers.
Demo - `playwright-cli` binds all of its browsers automatically, so you can see what your agents are doing. - Pass `PLAYWRIGHT_DASHBOARD=1` env variable to see all `@playwright/test` browsers in the dashboard.
🐛 CLI debugger for agents

Coding agents can now run npx playwright test --debug=cli to attach and debug tests over playwright-cli — perfect for automatically fixing tests in agentic workflows:

$ npx playwright test --debug=cli

### Debugging Instructions
- Run "playwright-cli attach tw-87b59e" to attach to this test

$ playwright-cli attach tw-87b59e

### Session `tw-87b59e` created, attached to `tw-87b59e`.
Run commands with: playwright-cli --session=tw-87b59e <command>

### Paused
- Navigate to "/" at output/tests/example.spec.ts:4

$ playwright-cli --session tw-87b59e step-over

### Page
- Page URL: https://playwright.dev/
- Page Title: Fast and reliable end-to-end testing for modern web apps | Playwright

### Paused
- Expect "toHaveTitle" at output/tests/example.spec.ts:7
📋 CLI trace analysis for agents

Coding agents can run npx playwright trace to explore Playwright Trace and understand failing or flaky tests from the command line:

$ npx playwright trace open test-results/example-has-title-chromium/trace.zip
  Title:        example.spec.ts:3 › has title

$ npx playwright trace actions --grep="expect"
     # Time       Action                                                  Duration
  ──── ─────────  ─────────────────────────────────────────────────────── ────────
    9. 0:00.859  Expect "toHaveTitle"                                        5.1s  ✗

$ npx playwright trace action 9
  Expect "toHaveTitle"
  Error: expect(page).toHaveTitle(expected) failed
    Expected pattern: /Wrong Title/
    Received string:  "Fast and reliable end-to-end testing for modern web apps | Playwright"
    Timeout: 5000ms
  Snapshots
    available: before, after
    usage:     npx playwright trace snapshot 9 --name <before|after>

$ npx playwright trace snapshot 9 --name after

### Page
- Page Title: Fast and reliable end-to-end testing for modern web apps | Playwright

$ npx playwright trace close
♻️ await using

Many APIs now return async disposables, enabling the await using syntax for automatic cleanup:

await using page = await context.newPage();
{
  await using route = await page.route('**/*', route => route.continue());
  await using script = await page.addInitScript('console.log("init script here")');
  await page.goto('https://playwright.dev');
  // do something
}
// route and init script have been removed at this point
🔍 Snapshots and Locators
New APIs
Screencast
Storage, Console and Errors
Miscellaneous
🛠️ Other improvements
  • UI Mode has an option to only show tests affected by source changes.
  • UI Mode and Trace Viewer have improved action filtering.
  • HTML Reporter shows the list of runs from the same worker.
  • HTML Reporter allows filtering test steps for quick search.
  • New trace mode 'retain-on-failure-and-retries' records a trace for each test run and retains all traces when an attempt fails — great for comparing a passing trace with a failing one from a flaky test.
Known Issues ⚠️⚠️
  • navigator.platform emulation can cause Ctrl or Meta dispatching errors (#​40009). Pass PLAYWRIGHT_NO_UA_PLATFORM = '1' environment variable while we are issuing a patch release. Let us know in the issue how it affected you.
Breaking Changes ⚠️
  • Removed macOS 14 support for WebKit. We recommend upgrading your macOS version, or keeping an older Playwright version.
  • Removed @playwright/experimental-ct-svelte package.
Browser Versions
  • Chromium 147.0.7727.15
  • Mozilla Firefox 148.0.2
  • WebKit 26.4

This version was also tested against the following stable channels:

  • Google Chrome 146
  • Microsoft Edge 146
vitest-dev/vitest (@​vitest/browser-playwright)

v4.1.2

Compare Source

This release bumps Vitest's flatted version and removes version pinning to resolve flatted's CVE related issues (#​9975).

   🐞 Bug Fixes
    View changes on GitHub

v4.1.1

Compare Source

   🚀 Features
   🐞 Bug Fixes
    View changes on GitHub

v4.1.0

Compare Source

Vitest 4.1 is out!

This release page lists all changes made to the project during the 4.1 beta. To get a review of all the new features, read our blog post.

   🚀 Features
   🐞 Bug Fixes

Configuration

📅 Schedule: Branch creation - "before 4am every weekday,every weekend" (UTC), Automerge - "before 4am every weekday,every weekend" (UTC).

🚦 Automerge: Enabled.

♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

👻 Immortal: This PR will be recreated if closed unmerged. Get config help if that's undesired.

  • If you want to rebase/retry this PR, check this box

This PR has been generated by Renovate Bot.

@hash-worker hash-worker bot enabled auto-merge March 24, 2026 00:42
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cursor bot commented Mar 24, 2026 •
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PR Summary

Low Risk
Low risk dependency-only update, but it can change E2E/browser-test behavior and snapshot outputs due to Playwright/Vitest runtime changes.

Overview
Updates @playwright/test from 1.58.2 to 1.59.1 in the root resolution and in workspace packages (including @hashintel/ds-helpers and @tests/hash-playwright).

Refreshes yarn.lock to pull in the new Playwright versions (playwright, playwright-core) and bumps @vitest/browser-playwright to 4.1.4, which also updates related Vitest subdeps (and introduces @blazediff/core while dropping pixelmatch).

Reviewed by Cursor Bugbot for commit 02b9f3d. Bugbot is set up for automated code reviews on this repo. Configure here.

@github-actions github-actions bot added the area/deps Relates to third-party dependencies (area) label Mar 24, 2026
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🤖 Augment PR Summary

Summary: Updates the Vitest Playwright browser runner dependency to keep browser-testing tooling current.

Changes:

  • Bumps @vitest/browser-playwright from 4.0.18 to 4.1.0
  • Updates yarn.lock to reflect the resolved dependency graph for the new version

Technical Notes: This PR is lockfile-only; no application/runtime code changes are included.

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Cursor Bugbot has reviewed your changes and found 1 potential issue.

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Bugbot Autofix is OFF. To automatically fix reported issues with cloud agents, enable autofix in the Cursor dashboard.

Comment thread yarn.lock Outdated
@hash-worker hash-worker bot changed the title Update npm package @vitest/browser-playwright to v4.1.0 Update npm package @vitest/browser-playwright to v4.1.1 Mar 26, 2026
@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from 735a73a to 7041d7c Compare March 26, 2026 15:44
@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from 7041d7c to 886f636 Compare March 29, 2026 14:57
@hash-worker hash-worker bot changed the title Update npm package @vitest/browser-playwright to v4.1.1 Update npm package @vitest/browser-playwright to v4.1.2 Mar 29, 2026
@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from 886f636 to 1df379c Compare March 31, 2026 17:08
@hash-worker hash-worker bot changed the title Update npm package @vitest/browser-playwright to v4.1.2 Update npm package @vitest/browser-playwright to v4.1.0 Mar 31, 2026
@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from 1df379c to e83ec57 Compare April 6, 2026 15:31
@hash-worker hash-worker bot changed the title Update npm package @vitest/browser-playwright to v4.1.0 Update npm package @vitest/browser-playwright to v4.1.1 Apr 6, 2026
@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from 29a95c6 to df8bed2 Compare April 15, 2026 00:54
@hash-worker hash-worker bot changed the title Update npm package @vitest/browser-playwright to v4.1.2 Update playwright npm packages Apr 15, 2026
@github-actions github-actions bot added area/libs Relates to first-party libraries/crates/packages (area) type/eng > frontend Owned by the @frontend team area/tests New or updated tests area/tests > playwright New or updated Playwright tests area/apps > hash.design Affects the `hash.design` design site (app) labels Apr 15, 2026
@graphite-app graphite-app bot requested a review from a team April 15, 2026 00:55
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codecov bot commented Apr 15, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 62.49%. Comparing base (efbcf7c) to head (02b9f3d).

Additional details and impacted files 
@@           Coverage Diff           @@
##             main    #8569   +/-   ##
=======================================
  Coverage   62.49%   62.49%           
=======================================
  Files        1318     1318           
  Lines      134234   134234           
  Branches     5520     5520           
=======================================
  Hits        83893    83893           
  Misses      49426    49426           
  Partials      915      915
Flag Coverage Δ
apps.hash-ai-worker-ts 1.40% <ø> (ø)
apps.hash-api 0.00% <ø> (ø)
blockprotocol.type-system 40.84% <ø> (ø)
local.claude-hooks 0.00% <ø> (ø)
local.harpc-client 51.24% <ø> (ø)
local.hash-graph-sdk 9.63% <ø> (ø)
local.hash-isomorphic-utils 0.00% <ø> (ø)
rust.antsi 0.00% <ø> (ø)
rust.error-stack 90.87% <ø> (ø)
rust.harpc-codec 84.70% <ø> (ø)
rust.harpc-net 96.18% <ø> (ø)
rust.harpc-tower 67.03% <ø> (ø)
rust.harpc-types 0.00% <ø> (ø)
rust.harpc-wire-protocol 92.23% <ø> (ø)
rust.hash-codec 72.76% <ø> (ø)
rust.hash-graph-api 2.52% <ø> (ø)
rust.hash-graph-authorization 62.34% <ø> (ø)
rust.hash-graph-postgres-store 26.38% <ø> (ø)
rust.hash-graph-store 37.76% <ø> (ø)
rust.hash-graph-temporal-versioning 47.95% <ø> (ø)
rust.hash-graph-types 0.00% <ø> (ø)
rust.hash-graph-validation 83.45% <ø> (ø)
rust.hashql-ast 87.23% <ø> (ø)
rust.hashql-compiletest 29.69% <ø> (ø)
rust.hashql-core 82.29% <ø> (ø)
rust.hashql-diagnostics 72.43% <ø> (ø)
rust.hashql-eval 69.13% <ø> (ø)
rust.hashql-hir 89.06% <ø> (ø)
rust.hashql-mir 92.64% <ø> (ø)
rust.hashql-syntax-jexpr 94.05% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

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📢 Have feedback on the report? Share it here.

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  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
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codspeed-hq bot commented Apr 15, 2026 •
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Merging this PR will not alter performance

✅ 80 untouched benchmarks

Comparing deps/js/playwright-npm-packages (02b9f3d) with main (efbcf7c)

Open in CodSpeed

@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from df8bed2 to b0d30ea Compare April 15, 2026 10:37
@hash-worker hash-worker bot force-pushed the deps/js/playwright-npm-packages branch from b0d30ea to 02b9f3d Compare April 15, 2026 18:38
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github-actions bot commented Apr 15, 2026

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2002 $$27.6 \mathrm{ms} \pm 199 \mathrm{μs}\left({\color{gray}-1.097 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.38 \mathrm{ms} \pm 18.5 \mathrm{μs}\left({\color{gray}0.070 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1001 $$12.4 \mathrm{ms} \pm 86.7 \mathrm{μs}\left({\color{gray}-0.293 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 3314 $$41.8 \mathrm{ms} \pm 318 \mathrm{μs}\left({\color{gray}-1.921 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$14.2 \mathrm{ms} \pm 109 \mathrm{μs}\left({\color{gray}0.552 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 1526 $$24.2 \mathrm{ms} \pm 158 \mathrm{μs}\left({\color{gray}1.28 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 2078 $$27.9 \mathrm{ms} \pm 182 \mathrm{μs}\left({\color{gray}-2.665 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.72 \mathrm{ms} \pm 19.4 \mathrm{μs}\left({\color{gray}-0.010 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 1033 $$13.2 \mathrm{ms} \pm 112 \mathrm{μs}\left({\color{gray}-2.760 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_medium

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 102 $$3.77 \mathrm{ms} \pm 19.2 \mathrm{μs}\left({\color{gray}0.112 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.95 \mathrm{ms} \pm 14.9 \mathrm{μs}\left({\color{gray}-0.548 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 51 $$3.37 \mathrm{ms} \pm 19.5 \mathrm{μs}\left({\color{gray}-0.330 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 269 $$5.12 \mathrm{ms} \pm 26.0 \mathrm{μs}\left({\color{gray}-1.144 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.50 \mathrm{ms} \pm 19.2 \mathrm{μs}\left({\color{gray}-0.093 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 107 $$4.09 \mathrm{ms} \pm 27.0 \mathrm{μs}\left({\color{gray}-0.348 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 133 $$4.37 \mathrm{ms} \pm 27.1 \mathrm{μs}\left({\color{gray}-0.994 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.41 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}-0.217 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 63 $$4.06 \mathrm{ms} \pm 27.5 \mathrm{μs}\left({\color{gray}0.657 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_none

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2 $$2.65 \mathrm{ms} \pm 18.5 \mathrm{μs}\left({\color{gray}2.73 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.48 \mathrm{ms} \pm 12.4 \mathrm{μs}\left({\color{gray}0.195 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1 $$2.63 \mathrm{ms} \pm 13.8 \mathrm{μs}\left({\color{gray}3.12 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 8 $$2.91 \mathrm{ms} \pm 15.6 \mathrm{μs}\left({\color{gray}2.89 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.72 \mathrm{ms} \pm 22.0 \mathrm{μs}\left({\color{gray}3.10 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 3 $$2.92 \mathrm{ms} \pm 19.8 \mathrm{μs}\left({\color{gray}3.36 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_small

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 52 $$3.04 \mathrm{ms} \pm 18.3 \mathrm{μs}\left({\color{gray}2.09 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.72 \mathrm{ms} \pm 12.4 \mathrm{μs}\left({\color{gray}-1.075 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 25 $$2.94 \mathrm{ms} \pm 13.4 \mathrm{μs}\left({\color{gray}-0.850 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 94 $$3.41 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}-0.324 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$2.94 \mathrm{ms} \pm 14.5 \mathrm{μs}\left({\color{gray}-0.109 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 26 $$3.27 \mathrm{ms} \pm 18.9 \mathrm{μs}\left({\color{gray}0.351 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 66 $$3.30 \mathrm{ms} \pm 18.4 \mathrm{μs}\left({\color{gray}-0.659 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.93 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}1.79 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 29 $$3.32 \mathrm{ms} \pm 19.4 \mathrm{μs}\left({\color{gray}0.516 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_complete

Function Value Mean Flame graphs
entity_by_id;one_depth 1 entities $$54.5 \mathrm{ms} \pm 309 \mathrm{μs}\left({\color{gray}-0.311 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 10 entities $$46.4 \mathrm{ms} \pm 177 \mathrm{μs}\left({\color{gray}-1.057 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 25 entities $$51.1 \mathrm{ms} \pm 329 \mathrm{μs}\left({\color{gray}0.077 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 5 entities $$44.9 \mathrm{ms} \pm 321 \mathrm{μs}\left({\color{gray}0.606 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 50 entities $$62.6 \mathrm{ms} \pm 391 \mathrm{μs}\left({\color{gray}-1.691 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 1 entities $$61.8 \mathrm{ms} \pm 336 \mathrm{μs}\left({\color{gray}-0.387 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 10 entities $$55.7 \mathrm{ms} \pm 398 \mathrm{μs}\left({\color{gray}0.787 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 25 entities $$104 \mathrm{ms} \pm 569 \mathrm{μs}\left({\color{gray}0.662 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 5 entities $$45.7 \mathrm{ms} \pm 254 \mathrm{μs}\left({\color{gray}-1.983 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 50 entities $$269 \mathrm{ms} \pm 1.24 \mathrm{ms}\left({\color{gray}-1.614 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 1 entities $$19.2 \mathrm{ms} \pm 152 \mathrm{μs}\left({\color{gray}-1.105 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 10 entities $$19.7 \mathrm{ms} \pm 100 \mathrm{μs}\left({\color{gray}-1.402 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 25 entities $$20.2 \mathrm{ms} \pm 133 \mathrm{μs}\left({\color{gray}-0.504 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 5 entities $$18.9 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}-3.418 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 50 entities $$24.6 \mathrm{ms} \pm 141 \mathrm{μs}\left({\color{gray}-3.236 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_linkless

Function Value Mean Flame graphs
entity_by_id 1 entities $$18.9 \mathrm{ms} \pm 151 \mathrm{μs}\left({\color{gray}-3.218 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10 entities $$19.3 \mathrm{ms} \pm 145 \mathrm{μs}\left({\color{gray}-1.618 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 100 entities $$19.2 \mathrm{ms} \pm 106 \mathrm{μs}\left({\color{gray}-2.071 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 1000 entities $$19.9 \mathrm{ms} \pm 110 \mathrm{μs}\left({\color{gray}-0.825 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10000 entities $$26.3 \mathrm{ms} \pm 213 \mathrm{μs}\left({\color{gray}-2.186 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity

Function Value Mean Flame graphs
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1 $$34.7 \mathrm{ms} \pm 293 \mathrm{μs}\left({\color{gray}-0.077 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1 $$35.6 \mathrm{ms} \pm 311 \mathrm{μs}\left({\color{gray}4.00 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1 $$34.5 \mathrm{ms} \pm 280 \mathrm{μs}\left({\color{gray}-1.087 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1 $$33.3 \mathrm{ms} \pm 250 \mathrm{μs}\left({\color{gray}-1.673 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2 $$33.1 \mathrm{ms} \pm 285 \mathrm{μs}\left({\color{lightgreen}-6.081 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1 $$35.0 \mathrm{ms} \pm 307 \mathrm{μs}\left({\color{gray}2.30 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1 $$34.4 \mathrm{ms} \pm 298 \mathrm{μs}\left({\color{gray}-1.206 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1 $$34.8 \mathrm{ms} \pm 319 \mathrm{μs}\left({\color{gray}0.311 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1 $$34.6 \mathrm{ms} \pm 292 \mathrm{μs}\left({\color{gray}0.598 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity_type

Function Value Mean Flame graphs
get_entity_type_by_id Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba $$8.41 \mathrm{ms} \pm 37.7 \mathrm{μs}\left({\color{gray}-1.985 \mathrm{\%}}\right) $$ Flame Graph

representative_read_multiple_entities

Function Value Mean Flame graphs
entity_by_property traversal_paths=0 0 $$90.8 \mathrm{ms} \pm 446 \mathrm{μs}\left({\color{gray}-2.648 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$147 \mathrm{ms} \pm 567 \mathrm{μs}\left({\color{gray}-0.600 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$97.4 \mathrm{ms} \pm 468 \mathrm{μs}\left({\color{gray}-0.967 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$109 \mathrm{ms} \pm 522 \mathrm{μs}\left({\color{gray}-2.029 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$116 \mathrm{ms} \pm 511 \mathrm{μs}\left({\color{gray}-1.088 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$126 \mathrm{ms} \pm 663 \mathrm{μs}\left({\color{gray}0.976 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=0 0 $$102 \mathrm{ms} \pm 413 \mathrm{μs}\left({\color{gray}-0.138 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$131 \mathrm{ms} \pm 657 \mathrm{μs}\left({\color{gray}-1.136 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$109 \mathrm{ms} \pm 541 \mathrm{μs}\left({\color{gray}0.080 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$119 \mathrm{ms} \pm 569 \mathrm{μs}\left({\color{gray}0.505 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$120 \mathrm{ms} \pm 560 \mathrm{μs}\left({\color{gray}0.906 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$119 \mathrm{ms} \pm 576 \mathrm{μs}\left({\color{gray}-0.764 \mathrm{\%}}\right) $$

scenarios

Function Value Mean Flame graphs
full_test query-limited $$187 \mathrm{ms} \pm 725 \mathrm{μs}\left({\color{gray}-2.112 \mathrm{\%}}\right) $$ Flame Graph
full_test query-unlimited $$180 \mathrm{ms} \pm 2.35 \mathrm{ms}\left({\color{lightgreen}-9.659 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-limited $$40.0 \mathrm{ms} \pm 278 \mathrm{μs}\left({\color{lightgreen}-62.367 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-unlimited $$544 \mathrm{ms} \pm 1.04 \mathrm{ms}\left({\color{lightgreen}-10.986 \mathrm{\%}}\right) $$ Flame Graph

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area/apps > hash.design Affects the `hash.design` design site (app) area/deps Relates to third-party dependencies (area) area/libs Relates to first-party libraries/crates/packages (area) area/tests > playwright New or updated Playwright tests area/tests New or updated tests type/eng > frontend Owned by the @frontend team

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