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refactor(cache): implement registry isolation in cache directory#2406

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refactor(cache): implement registry isolation in cache directory#2406
justDemo-hjw wants to merge 1 commit intoutooland:nextfrom
justDemo-hjw:next

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Fixes #2281

Summary

Currently, all packages are stored in ~/.cache/nm/ without registry dimension isolation. This causes package confusion and integrity risks when switching between different registries (e.g., registry.npmjs.org and registry.npmmirror.com).

This PR adds registry dimension isolation to the cache directory structure by including the registry host in the cache path. The cache structure changes from ~/.cache/nm/package-name/version/ to ~/.cache/nm/registry-host/package-name/version/.

Changes:

  • Added registry_to_dir_name() function to convert registry URL to directory name
  • Modified get_cache_dir() to return path with registry isolation
  • Updated clean command to use get_cache_dir() instead of hardcoded path

All existing code using get_cache_dir() automatically adapts to the new structure without modification, ensuring full backward compatibility.

Test Plan

  1. Unit tests: Added tests for registry_to_dir_name() with various registry URL formats and verified get_cache_dir() includes registry dimension.

  2. Manual testing:

    • Install packages with default registry (registry.npmmirror.com), verify cache path is ~/.cache/nm/registry.npmmirror.com/package-name/version/
    • Switch to registry.npmjs.org and install packages, verify cache path is ~/.cache/nm/registry.npmjs.org/package-name/version/
    • Run utoo clean, verify only current registry's cache is cleaned
    • Verify packages from different registries are stored in separate directories

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Summary of Changes

Hello @justDemo-hjw, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refactors the cache management system to introduce registry-level isolation for stored packages. By embedding the registry host into the cache directory path, it resolves potential conflicts and integrity issues that arise when using multiple package registries. This enhancement improves the reliability and predictability of the caching mechanism, ensuring that packages from different sources are kept distinct.

Highlights

  • Cache Directory Isolation: Implemented registry isolation in the cache directory structure to prevent package confusion and integrity risks when switching between different registries.
  • New Cache Path Structure: The cache path now includes the registry host, changing from "/.cache/nm/package-name/version/" to "/.cache/nm/registry-host/package-name/version/".
  • registry_to_dir_name() Function: Introduced a new utility function "registry_to_dir_name()" to convert registry URLs into a clean directory name format by stripping protocols and trailing slashes.
  • get_cache_dir() Update: Modified "get_cache_dir()" to dynamically construct the cache path, incorporating the current registry's host for isolation.
  • clean Command Adaptation: The "clean" command now utilizes the updated "get_cache_dir()", ensuring that it only cleans the cache relevant to the currently configured registry.
  • Backward Compatibility: The changes are designed to be fully backward compatible, with existing code automatically adapting to the new cache structure.
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Code Review

This pull request introduces registry isolation in the cache directory, which is a valuable enhancement for users working with multiple package registries. The implementation is well-structured, and the changes are logical. I've identified a potential cross-platform compatibility issue in how registry URLs are converted to directory names, particularly when a port is present. Additionally, I've suggested an improvement to a test case to make it more robust in verifying the new functionality. Overall, these are great changes that improve the tool's flexibility.

.strip_prefix("https://")
.or_else(|| registry_url.strip_prefix("http://"))
.unwrap_or(registry_url);
url.trim_end_matches('/').to_string()
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high

The current implementation of registry_to_dir_name doesn't sanitize characters that are invalid in directory names on certain operating systems. For example, if a registry URL contains a port (e.g., http://localhost:4873), the resulting directory name localhost:4873 would be invalid on Windows due to the colon :. To ensure cross-platform compatibility, it's best to replace such characters.

You could also strengthen test_registry_to_dir_name by adding a test case for a URL with a port, assuming the fix is applied:

assert_eq!(
    registry_to_dir_name("http://localhost:4873"),
    "localhost_4873"
);
Suggested change
url.trim_end_matches('/').to_string()
url.trim_end_matches('/').replace(':', "_").to_string()

Comment on lines +313 to +318
let cache_dir = get_cache_dir();
let cache_dir_str = cache_dir.to_string_lossy();

// Should contain registry directory name
// The exact structure depends on current registry setting
assert!(cache_dir_str.contains("nm") || cache_dir_str.contains("cache"));
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medium

This test's assertion is a bit too lenient. assert!(cache_dir_str.contains("nm") || cache_dir_str.contains("cache")) would likely pass even with the old implementation, as the path already contained .cache/nm. A more robust test would be to verify that the generated cache directory path actually ends with the directory-sanitized registry name. This would more accurately confirm that registry isolation is working as intended.

Suggested change
let cache_dir = get_cache_dir();
let cache_dir_str = cache_dir.to_string_lossy();
// Should contain registry directory name
// The exact structure depends on current registry setting
assert!(cache_dir_str.contains("nm") || cache_dir_str.contains("cache"));
let cache_dir = get_cache_dir();
let registry = super::config::get_registry();
let registry_dir_name = registry_to_dir_name(&registry);
assert!(cache_dir.ends_with(registry_dir_name));

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#2281

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📊 Performance Benchmark Report (with-antd)

Utoopack Performance Report

Report ID: utoopack_performance_report_20260313_161307
Generated: 2026-03-13 16:13:07
Trace File: trace_antd.json (0.6GB, 1.66M spans)
Test Project: examples/with-antd


Executive Summary

Metric Value Assessment
Total Wall Time 8,682.9 ms Baseline
Total Thread Work (de-duped) 28,248.6 ms Non-overlapping busy time
Effective Parallelism 3.3x thread_work / wall_time
Working Threads 5 Threads with actual spans
Thread Utilization 65.1% 🆗 Average
Total Spans 1,659,489 All B/E + X events
Meaningful Spans (>= 10us) 585,614 (35.3% of total)
Tracing Noise (< 10us) 1,073,875 (64.7% of total)

Build Phase Timeline

Shows when each build phase is active and how much CPU it consumes.
Self-Time is the time spent exclusively in that phase (excluding children).

Phase Spans Inclusive (ms) Self-Time (ms) Wall Range (ms)
Resolve 133,595 3,715.8 3,021.2 5,232.1
Parse 10,246 1,090.4 1,027.9 8,529.7
Analyze 343,928 17,808.1 13,216.1 8,166.1
Chunk 26,764 2,151.0 1,977.5 2,378.5
Codegen 61,647 4,564.1 3,377.8 2,088.1
Emit 27 64.7 32.3 12.7
Other 9,407 1,308.4 1,167.4 8,682.9

Workload Distribution by Diagnostic Tier

Category Spans Inclusive (ms) % Work Self-Time (ms) % Self
P0: Scheduling & Resolution 485,210 22,677.4 80.3% 17,258.2 61.1%
P1: I/O & Heavy Tasks 2,916 136.3 0.5% 103.9 0.4%
P2: Architecture (Locks/Memory) 0 0.0 0.0% 0.0 0.0%
P3: Asset Pipeline 97,373 7,836.2 27.7% 6,413.9 22.7%
P4: Bridge/Interop 0 0.0 0.0% 0.0 0.0%
Other 115 52.7 0.2% 44.3 0.2%

Top 20 Tasks by Self-Time

Self-time is the exclusive duration: time spent in the task itself, not in sub-tasks.
This is the most accurate indicator of where CPU cycles are actually spent.

Self (ms) Inclusive (ms) Count Avg Self (us) P95 Self (ms) Max Self (ms) % Work Task Name Top Caller
7,535.5 8,564.8 216,023 34.9 0.1 10.3 26.7% module write all entrypoints to disk (1%)
2,877.8 3,694.8 37,297 77.2 0.2 189.2 10.2% analyze ecmascript module process module (76%)
1,667.3 2,853.5 25,199 66.2 0.2 44.2 5.9% code generation chunking (7%)
1,585.3 1,710.9 62,111 25.5 0.0 5.6 5.6% internal resolving resolving (30%)
1,458.3 4,173.5 73,139 19.9 0.0 11.5 5.2% process module module (16%)
1,427.2 1,996.2 70,769 20.2 0.0 11.2 5.1% resolving module (32%)
1,405.8 1,405.8 34,512 40.7 0.1 10.8 5.0% precompute code generation code generation (30%)
1,271.4 1,416.1 15,212 83.6 0.2 49.6 4.5% chunking write all entrypoints to disk (0%)
1,178.0 1,178.0 14,680 80.2 0.3 135.3 4.2% compute async module info chunking (0%)
1,096.1 1,223.1 8,647 126.8 0.0 263.9 3.9% write all entrypoints to disk None (0%)
965.1 1,027.6 8,072 119.6 0.5 46.4 3.4% parse ecmascript analyze ecmascript module (26%)
672.0 672.7 11,344 59.2 0.1 55.0 2.4% compute async chunks write all entrypoints to disk (0%)
304.7 304.7 1,936 157.4 0.4 16.2 1.1% generate source map code generation (96%)
93.5 93.5 890 105.0 0.0 24.0 0.3% compute binding usage info write all entrypoints to disk (0%)
62.7 62.7 2,165 29.0 0.0 1.2 0.2% read file parse ecmascript (91%)
55.0 55.0 1,873 29.3 0.0 7.9 0.2% collect mergeable modules compute merged modules (0%)
34.1 62.2 208 164.2 0.4 19.9 0.1% make production chunks chunking (2%)
32.1 32.1 13 2465.9 10.8 12.2 0.1% write file apply effects (100%)
27.0 32.6 645 41.9 0.1 3.2 0.1% async reference write all entrypoints to disk (1%)
17.9 17.9 4 4484.7 11.8 13.3 0.1% blocking map chunk groups (25%)

Critical Path Analysis

The longest sequential dependency chains that determine wall-clock time.
Focus on reducing the depth of these chains to improve parallelism.

Rank Self-Time (ms) Depth Path
1 189.3 2 process module → analyze ecmascript module
2 89.8 2 process module → analyze ecmascript module
3 60.3 2 code generation → generate source map
4 46.4 2 analyze ecmascript module → parse ecmascript
5 41.4 2 code generation → generate source map

Batching Candidates

High-volume tasks dominated by a single parent. If the parent can batch them,
it drastically reduces scheduler overhead.

Task Name Count Top Caller (Attribution) Avg Self P95 Self Total Self
analyze ecmascript module 37,297 process module (76%) 77.2 us 0.17 ms 2,877.8 ms

Duration Distribution

Range Count Percentage
<10us 1,073,875 64.7%
10us-100us 558,157 33.6%
100us-1ms 22,897 1.4%
1ms-10ms 4,452 0.3%
10ms-100ms 102 0.0%
>100ms 6 0.0%

Action Items

  1. [P0] Focus on tasks with the highest Self-Time — these are where CPU cycles are actually spent.
  2. [P0] Use Batching Candidates to identify callers that should use try_join or reduce #[turbo_tasks::function] granularity.
  3. [P1] Check Build Phase Timeline for phases with disproportionate wall range vs. self-time (= serialization).
  4. [P1] Inspect P95 Self (ms) for heavy monolith tasks. Focus on long-tail outliers, not averages.
  5. [P1] Review Critical Paths — reducing the longest chain depth directly improves wall-clock time.
  6. [P2] If Thread Utilization < 60%, investigate scheduling gaps (lock contention or deep dependency chains).

Report generated by Utoopack Performance Analysis Agent

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