On Windows, projects containing git-submodule junctions or dev-drive
reparse points cause iterdir() to list the entry successfully but
Path.is_dir() to raise OSError when it calls stat() internally.
Reproducer: any Windows project with a submodule checked out as a
junction (e.g. skills/pr-perfect) crashes mempalace init with:
OSError: [WinError 448] The path cannot be traversed because it
contains an untrusted mount point
Fix: wrap every is_dir() call in detect_rooms_from_folders with
try/except OSError so the scanner skips inaccessible entries and
continues rather than aborting.
Covers both the top-level pass and the one-level-deep nested pass.
Two new tests mock the OSError on specific paths and verify the
function returns correct rooms from the remaining accessible entries.
Addresses Issue #333: AI agents prepending system prompts to search queries
causes embedding retrieval to collapse (89.8% → 1.0% R@10).
Mitigation approach (減災):
- New query_sanitizer.py with 4-stage pipeline:
Step 1: passthrough for short queries (≤200 chars)
Step 2: question extraction (finds ? sentences) → ~85-89% recovery
Step 3: tail sentence extraction → ~80-89% recovery
Step 4: tail truncation fallback → ~70-80% recovery
Worst case without sanitizer: 1.0% (catastrophic)
Worst case with sanitizer: ~70-80% (survivable)
- mcp_server.py: tool_search applies sanitizer before ChromaDB query
- MCP schema: query description warns agents not to include prompts
- New 'context' parameter separates background info from search intent
- Sanitizer metadata included in response when triggered
22 new tests covering all pipeline stages and real-world scenarios.
Made-with: Cursor
The initialize handler hardcoded protocolVersion "2024-11-05", which
causes newer MCP clients (e.g. Claude Code) to reject the connection
when they negotiate "2025-11-25" or later.
Echo the client's requested version if it is in the supported set,
otherwise fall back to the latest supported version. This keeps
backwards compatibility with older clients while allowing newer ones
to connect.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Merged both the PR's benchmark suite additions (psutil dep, pytest
markers, --ignore=tests/benchmarks) and upstream's coverage changes
(pytest-cov, --cov-fail-under=30, coverage config) so both coexist.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
_patch_mcp_server had palace_path removed from its signature but the
assertion body still referenced it, causing NameError at runtime and
F821 from ruff.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add tests for config, convo_miner, spellcheck, knowledge_graph
- Fix Windows PermissionError in test cleanup (chromadb file locks)
- Add UTF-8 encoding to split_mega_files, entity_registry, hooks_cli
- Fix mcp_server parse_known_args logging for unknown args
- Set coverage threshold to 85 in pyproject.toml and CI
- Reset all version files to 3.0.11
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
MCP tool_add_drawer:
- Make drawer_id content-based: hash full content instead of
content[:100] + timestamp. Same content → same ID, eliminating
TOCTOU race conditions
- Switch from col.add() to col.upsert() so re-filing with updated
content updates the existing drawer
miner.add_drawer:
- Switch from collection.add() to collection.upsert() so re-mining
a modified file updates instead of silently failing
- Remove the try/except catching 'already exists' — upsert handles
this naturally
Findings: #11 (HIGH — add ignores updates), #6 (MEDIUM — TOCTOU),
#13 (MEDIUM — non-deterministic IDs)
Includes test infrastructure from PR #131.
92 tests pass.
Add/expand tests for normalize (39%→97%), searcher (39%→100%),
layers (28%→97%), split_mega_files (34%→72%).
Fix mcp_server.py parse_args→parse_known_args to prevent SystemExit
when imported during pytest (CI was crashing on all test jobs).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Run ruff format on all benchmark files (fixes CI lint job)
- Fix check_regression() substring ambiguity: ordered keyword matching
so "latency_improvement_pct" is correctly classified as higher-is-better
- Update stale comments in conftest.py referencing wrong fixture
- Add pytest addopts to skip benchmark/slow/stress markers by default
Concentrates all drawers into a single wing+room to isolate the
embedding model's retrieval limit independent of palace filtering.
Confirms recall degrades to ~0.4-0.5 at 5K drawers per room even
with wing+room filters applied — the spatial structure helps by
keeping buckets small, but can't fix the underlying embedding ceiling.
Benchmark mempalace at configurable scale (1K–100K drawers) to find
real-world performance limits. Tests cover MCP tool OOM thresholds,
ChromaDB query degradation, search recall@k, mining throughput,
knowledge graph concurrency, memory leak detection, palace boost
quantification, and Layer1 unbounded fetch behavior.
- tests/benchmarks/ with 8 test modules + data generator + report system
- Deterministic data factory with planted needles for recall measurement
- JSON report output with regression detection (--bench-report flag)
- CI benchmark job on PRs at small scale
- psutil added as dev dependency for RSS tracking
The MCP server previously created a new PersistentClient on every tool
call via _get_collection(). This incurs HNSW index loading overhead
on each request.
Cache the client and collection at module level. The cache resets
naturally on process restart (MCP runs as a subprocess).
Also adds a _reset_mcp_cache fixture to conftest.py for test isolation.
Includes test infrastructure from PR #131.
92 tests pass.
- Switch CI install step from `pip install -r requirements.txt` to
`pip install -e ".[dev]"` since requirements.txt was removed
- Add noqa: E402 to intentionally-late imports in conftest.py
(HOME must be isolated before mempalace imports)
- Remove unused KnowledgeGraph import in test_knowledge_graph.py
- Apply ruff formatting to test files
Arnold Wender