Transient Git Status Check Error Debug | Generated by AI
You’re right — the check runs against the BASE_PATH from .env.
The directory: /Users/lzwjava/projects/jekyll-ai-blog
Code path:
note_queue_process.py:process_queue()
→ _check_uncommitted()
→ check_uncommitted_changes() (note_workflow.py:25)
→ _git_toplevel()
→ get_base_path() → reads BASE_PATH env var
→ git -C /Users/lzwjava/projects/jekyll-ai-blog rev-parse --show-toplevel
→ git -C <toplevel> status --porcelain
Right now that repo is clean:
$ git -C /Users/lzwjava/projects/jekyll-ai-blog status --porcelain
(empty)
So the error was transient — when the watcher ran process_queue() the second time, the blog repo had dirty state at that moment (likely from the first process_queue call’s _git_pull_rebase() or from a previous gitmessageai commit that left something staged/dirty).
The key issue: the first process_queue() run found no uncommitted changes, created a note (failed as duplicate), did NOT commit (no created_paths), but it DID call _git_pull_rebase(). If that rebase hit a conflict or left .git/REBASE_HEAD or similar state, the second run’s check_uncommitted_changes() would see it.
If this keeps happening, you could add debug output right before the check to see what git status --porcelain actually reports:
# In check_uncommitted_changes(), after line 34:
if result.stdout.strip():
print(f"[debug] git status output: {result.stdout!r}") # ADD THIS