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macOS cleans up tempdir() files after 3 days of inactivity, causing
compound registrations saved with add_reglist(temp=TRUE) to disappear
during long-running R sessions.
Changed to use tools::R_user_dir("nat.templatebrains", "cache") with
session-specific subfolders (using basename(tempdir()) as session ID).
A marker file stores the original tempdir path, and stale session
folders are cleaned up when a new session detects the original
tempdir no longer exists.
This requires R >= 4.0 (updated in DESCRIPTION).
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Replaces disk-based storage in tempdir with in-memory caching via cachem::cache_mem(). This avoids macOS tempdir cleanup issues during long-running R sessions. Key changes: - add_reglist(temp=TRUE) now stores serialized reglists in memory - Serialization breaks environment references, avoiding memory leaks - allreg_dataframe() includes memory-cached entries with memory:// prefix - make_reglist() handles memory:// paths in bridging sequences Benefits: - CRAN compliant (no file system writes) - No tempdir cleanup issues on any platform - Simpler than disk-based caching See also PR #53 for alternative disk-based approach (superseded by this).
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jefferis
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Replaces disk-based storage in tempdir with in-memory caching via cachem::cache_mem(). This avoids macOS tempdir cleanup issues during long-running R sessions. Key changes: - add_reglist(temp=TRUE) now stores serialized reglists in memory - Serialization breaks environment references, avoiding memory leaks - allreg_dataframe() includes memory-cached entries with memory:// prefix - make_reglist() handles memory:// paths in bridging sequences Benefits: - CRAN compliant (no file system writes) - No tempdir cleanup issues on any platform - Simpler than disk-based caching See also PR #53 for alternative disk-based approach (superseded by this).
jefferis
added a commit
that referenced
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Mar 8, 2026
Replaces disk-based storage in tempdir with in-memory caching using a simple environment. This avoids macOS tempdir cleanup issues during long-running R sessions. Key changes: - add_reglist(temp=TRUE) now stores serialized reglists in memory - Serialization breaks environment references, avoiding memory leaks - allreg_dataframe() includes memory-cached entries with memory:// prefix - make_reglist() handles memory:// paths in bridging sequences Benefits: - CRAN compliant (no file system writes) - No tempdir cleanup issues on any platform - Simpler than disk-based caching - No new dependencies (uses base R environment) See also PR #53 for alternative disk-based approach (superseded by this).
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Summary
tempdir()files after 3 days of inactivity, causing compound registrations saved withadd_reglist(temp=TRUE)to disappear during long-running R sessionstools::R_user_dir("nat.templatebrains", "cache")with session-specific subfoldersbasename(tempdir())(e.g.,RtmpeWpUOg).tempdir_pathmarker file tracks the original tempdir, and stale session folders are cleaned up when a new session detects the original tempdir no longer existsHow it works
add_reglist(temp=TRUE), files go to~/.../cache/nat.templatebrains/tempreglists/RtmpXXXXX/.tempdir_pathmarker stores the full originaltempdir()pathcleanup_stale_reglist_sessions()checks each session folder's markerTest plan
.tempdir_pathmarker is written🤖 Generated with Claude Code