Use the preferred Obsidian element helper and preseed the real-Obsidian scenario before startup. Register the focused test and strengthen revision boundary coverage.
Keep unresolved conflicts visible after Not now, reopen them only on explicit requests, and clear stale warning and dialogue state when a replicated resolution arrives. Add typed provisional English messages, revision-tree regressions, specifications, and a focused Real Obsidian E2E.
Obsidian's mobile storage layer forwards mtime/ctime to Capacitor's
Filesystem.setTimes, whose native binding casts the value to a Java Long.
A non-integer (float) timestamp makes that cast throw (ClassCastException:
Double cannot be cast to Long), which crashes the app on launch as soon as
such a document is replicated in.
Float timestamps can reach the database from any client that stores
fs.Stats.mtimeMs without flooring. Coerce mtime/ctime to integer ms at the
Obsidian vault and storage adapter write boundary, so a float already
present in the mesh can't crash the app regardless of where it came from.
The truly central choke point is dbToStorage in livesync-commonlib; a
matching guard there would cover the CLI and webapp too. This change
protects the platform that actually crashes.
Claude-Session: https://claude.ai/code/session_0123E9jVQrsgu3zb82Csuwhi
CLIWatchAdapter._toNodeFile passed chokidar's raw stats.ctimeMs/mtimeMs
straight through. On Linux those carry sub-millisecond precision (e.g.
1778511180024.462), so watch-mode file changes wrote non-integer
timestamps into the database.
The earlier floor fix (3f7bb047) covered the scan/stat adapters but missed
this watch path, which is the one the daemon actually uses at runtime.
Mobile clients then crash on such a document because Capacitor's
Filesystem.setTimes casts the value to a Java Long (ClassCastException:
Double cannot be cast to Long).
Floor ctimeMs/mtimeMs here, with a null guard so a partial stat still
falls back to Date.now(). Adds a regression test that a fractional stat is
floored.
Claude-Session: https://claude.ai/code/session_0123E9jVQrsgu3zb82Csuwhi
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