cmd_init now invokes ``_run_pass_zero`` unconditionally (#1221, #1223
landed on develop after this PR's branch point). The pass reads sample
content via ``builtins.open``; with that mocked to MagicMock, the
downstream ``"\\n\\n".join(samples)`` in
``corpus_origin.detect_origin_heuristic`` raises
``TypeError: expected str instance, MagicMock found``.
This test only cares about the wing-slug write to the registry, so
stub the pass-zero call directly rather than try to satisfy its full
sample-gathering contract.
`init` was recording `topics_by_wing[<raw-dirname>]` while `mempalace.yaml`
got the lower-cased separator-collapsed slug. At mine time the miner
read the slug from the yaml and missed the registry key, so
`_compute_topic_tunnels_for_wing` returned 0 silently for every project
whose folder contained a `-` or a space — the most common shape in the
wild.
Extracted the rule into `config.normalize_wing_name()` and routed both
`cli.cmd_init` (registry write) and `room_detector_local.detect_rooms_local`
(yaml write) through it. Added a regression test in `test_cli.py`
asserting the registry call uses the normalized slug, plus four direct
unit tests for the helper.
Refs #1180.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
10 files changed. 2,563 insertions, 30 deletions. 48 new tests, including end-to-end coverage live-tested with Anthropic Haiku 4.5.
This PR overhauls the first-run experience of `mempalace init` end-to-end, ships a new corpus-origin detection module from scratch, wires it into entity classification and LLM refinement, adds a graceful-fallback path that means `init` never crashes on a missing LLM, and ships a meta-test that prevents internal-coordination jargon from leaking into source or tests.
The headline change is that `mempalace init` now understands what kind of folder you're pointing it at — AI conversations, regular writing, code, narrative — and adapts how it classifies entities accordingly. The same folder containing `Echo`, `Sparrow`, and `Cipher` (names you've assigned to AI agents) used to dump those into your "people" list alongside biological humans. Now they go into a separate `agent_personas` bucket, and your `people` list stays clean.
But the broader change is that `mempalace init` got upgraded across the board — smarter defaults, smarter degradation, smarter classification, smarter persistence, and a new way to refresh as your folder grows. Built and live-verified with Anthropic Haiku 4.5; runs unmodified on the local LLM runtimes mempalace already supports.
## What changes for users (in order, from `pip install` onwards)
**Install** — `pip install mempalace` is unchanged. The package itself didn't shift.
**First run — `mempalace init <folder>`:**
1. **`init` examines your folder before classifying anything.** A free regex heuristic decides in milliseconds: AI conversations, regular writing, narrative, or code? If an LLM is reachable, a second pass extracts the corpus author's name and any agent persona names from the dialogue. v3.3.3 had no such step — it dove straight into entity detection with no corpus context.
2. **LLM-assisted classification is now ON by default.** v3.3.3 made `--llm` opt-in. The LLM-assisted path is qualitatively better (extracts persona names, refines ambiguous classifications, gives the model corpus context) so it now runs by default. The provider abstraction is unchanged from v3.3.3 — three buckets are supported by `mempalace.llm_client`:
- **Anthropic** (`--llm-provider anthropic` + `ANTHROPIC_API_KEY`) — the official Messages API. **This is the path live-verified end-to-end in this PR with Haiku 4.5.** Cost: ~\$0.01 per `init`.
- **Ollama** (`--llm-provider ollama` — the default) — local models via `http://localhost:11434`. Fully offline. Honors the "zero-API required" promise.
- **OpenAI-compatible** (`--llm-provider openai-compat` + `--llm-endpoint`) — per the v3.3.3 `mempalace/llm_client.py` docstring, this covers "OpenRouter, LM Studio, llama.cpp server, vLLM, Groq, Fireworks, Together, and most self-hosted setups." We did not test each of those individually as part of this PR; the abstraction has been stable since v3.3.3. If you try this PR with a specific provider and hit a quirk, please file an issue or comment here.
3. **`init` never blocks on a missing LLM.** No Ollama running, no API key set? `init` prints a one-line message pointing at `--no-llm` and falls through to the heuristic-only path. New default behavior, new graceful fallback to support it. `--no-llm` is the new explicit opt-out.
4. **`init` shows you what it detected.** A one-line banner — `Detected: Claude (Anthropic) (user: Jordan, agents: Echo, Sparrow, Cipher)` or `Corpus origin: not AI-dialogue (confidence: 0.98)` — tells you at a glance whether mempalace understood your folder.
5. **Entity classification gets smarter across the board.** Even non-persona candidates benefit: the LLM has corpus context (this is AI-dialogue, this is the user's name, these are agent names) and uses it to disambiguate ambiguous candidates that aren't personas at all.
6. **Agent personas live in their own bucket.** Names you've assigned to AI agents (Echo, Sparrow, Cipher) go into a new `agent_personas` bucket instead of your `people` list. Your real-person entity list stays clean.
7. **Detection result persists to `<palace>/.mempalace/origin.json`** with a `schema_version: 1` envelope, so downstream tools can read it.
8. **Re-running `init` is now idempotent.** Bug fix — running `init` twice on the same folder used to give different classification results because the detection step was sampling its own `entities.json` output. Caught by integration testing during this PR.
**Later — when your folder grows:**
9. **`mempalace mine --redetect-origin`** is a new flag for refreshing the stored detection without redoing the whole `init`. Heuristic-only by design (the flag is meant to be cheap). If you want the full LLM-extracted detection refreshed (persona names, user name, etc.), run `mempalace init <yourfolder>` again — `init` is now idempotent (item 8), so re-running it on the same folder is safe.
## Behind the changes
- **New module** `mempalace/corpus_origin.py` (422 lines) with two-tier detection: regex heuristic with co-occurrence rule (suppresses ambiguous terms like `Claude` / `Gemini` / `Haiku` when no unambiguous AI signal is present, so French novels, astrology forums, poetry corpora, llama-rancher journals don't false-positive), and LLM tier that extracts `user_name` and `agent_persona_names` from dialogue structure with belt-and-suspenders user-vs-agent disambiguation.
- **Entity-classification consumer wiring.** `entity_detector.detect_entities` and `project_scanner.discover_entities` accept an optional `corpus_origin` kwarg. When present and the corpus is identified as AI-dialogue, candidates whose name case-insensitively matches an `agent_persona_name` are routed into the `agent_personas` bucket instead of `people`. Per-entity `type` is rewritten to `"agent_persona"`.
- **LLM-refine consumer wiring.** `llm_refine.refine_entities` accepts the same `corpus_origin` kwarg and prepends a `CORPUS CONTEXT` preamble to its system prompt giving the LLM the platform / user / persona context. Existing `TOPIC` / `PERSON` / `PROJECT` / `COMMON_WORD` / `AMBIGUOUS` labels are unchanged.
- **`init` overhaul.** Pass 0 (corpus-origin detection) inserted before existing Pass 1 (entity discovery). `--llm` flipped to default-on. `--no-llm` added. Graceful-fallback path replaces the previous hard-error on missing LLM. Provider precedence unchanged from the existing `llm_client` module.
- **`mine` flag.** `mempalace mine --redetect-origin` re-runs corpus-origin detection on the current corpus state and overwrites `<palace>/.mempalace/origin.json`.
- **`CLAUDE.md` design principle reworded** — "Local-first, zero external API by default." Local LLMs running on `localhost` (Ollama, LM Studio, llama.cpp, vLLM, unsloth studio) are part of the user's machine, not external APIs. External BYOK providers (Anthropic, OpenAI, Google) are supported but always opt-in, never default, never silent fallback.
## Cost story
- **Anthropic (verified path):** ~\$0.01 per `init` via Haiku 4.5 with `ANTHROPIC_API_KEY`.
- **Ollama / local LLM runtime:** zero cost. Fully offline.
- **OpenAI-compatible service:** depends entirely on the service. The abstraction supports any service speaking the standard `/v1/chat/completions` API; specific quirks vary per provider. Try it and tell us how it goes.
- **No LLM at all:** graceful fallback to heuristic-only. Zero cost. `init` never blocks.
## Backwards compatibility
- All public function signatures gained the `corpus_origin` kwarg as optional (default `None`). Callers that don't pass it see the v3.3.3 return shape unchanged — no `agent_personas` key, no behavioral change.
- The `--llm` CLI flag is preserved as a deprecated alias of the default. Existing scripts that pass it continue to work.
- `corpus_origin=None` keeps `llm_refine.SYSTEM_PROMPT` byte-identical to v3.3.3.
## Test coverage
- **19 unit tests** in `tests/test_corpus_origin.py` covering both tiers, the co-occurrence rule, ambiguous-term suppression, word-boundary brand matching, and user/persona disambiguation.
- **29 integration tests** in `tests/test_corpus_origin_integration.py` covering end-to-end through `mempalace init`, persona reclassification, the `--redetect-origin` flag, the `--llm` default flip, graceful fallback paths, and re-init idempotency. Of those 29, five specifically cover the intersection with develop's other in-flight work (Pass 0 ↔ auto-mine ordering, topics + agent_personas bucket coexistence, entities.json shape, the `wing=` kwarg threading, llm_refine TOPIC label + corpus_origin preamble composition).
- **1354 total mempalace tests pass.** 2 pre-existing environmental failures (`test_mcp_stdio_protection` — chromadb optional dep) unrelated to this change; they fail on plain `develop` too.
- **Live-smoke-tested** with real Anthropic Haiku 4.5 on AI-dialogue and narrative fixtures.
## Hygiene guardrail
This PR also adds a meta-test (`test_no_internal_coordination_jargon_in_source_or_tests`) that walks the source tree and asserts no internal-coordination jargon (e.g. development-phase markers, internal review-section references) leaks into runtime code, comments, docstrings, or LLM prompts. RED if anything slips in. Allowlist for legitimate RFC/spec section citations in `sources/`, `backends/`, `knowledge_graph.py`, and `i18n/`.
The pre-existing test_maybe_run_mine_prompt_declined_prints_hint
asserted the bare unquoted form `mempalace mine {tmp_path}`. After
the production code switched to shlex.quote on the resume hint, this
passed on Linux/macOS (POSIX paths have no characters that trigger
quoting) but failed on Windows where backslashes always get wrapped
in single quotes.
Mirror the production code in the assertion via shlex.quote so it's
portable across platforms; do the same for the two new
spaces-in-path tests for consistency.
The "Skipped. Run mempalace mine <dir>" hint after declining the init
prompt and the "Re-run mempalace mine <dir> to resume" hint after a
Ctrl-C interruption both interpolated project_dir without shell-quoting.
A path containing spaces or metacharacters produced a copy-paste-broken
command.
Both spots now use shlex.quote(project_dir). Adds regression tests
covering each hint with a path that contains a space.
Reviewer feedback on the previous commit flagged two real problems:
1. Overloading --yes to also auto-mine was a silent behaviour change for
scripted callers. Today --yes only auto-accepts entities — making it
ALSO trigger a multi-minute ChromaDB write breaks every script that
currently runs `mempalace init --yes <dir>` for the fast non-interactive
entity path. Add a separate `--auto-mine` flag instead. Combinations:
mempalace init --yes <dir> # entities auto, STILL prompt mine
mempalace init --auto-mine <dir> # prompt entities, skip mine prompt
mempalace init --yes --auto-mine <dir> # fully non-interactive
--yes behaviour is now identical to pre-PR.
2. The mine prompt was firing without telling the user how big the job
was. On a real corpus mine takes minutes-to-tens-of-minutes; hitting
Enter on default-Y with no size cue is a footgun. Show a one-line
estimate computed from scan_project (the same walk we hand into mine)
BEFORE the prompt:
~423 files (~12 MB) would be mined into this palace.
Mine this directory now? [Y/n]
The estimate uses a single corpus walk: scan_project's output is
passed into mine() via a new optional files= kwarg, so we never walk
the tree twice.
Tests: replaced the old "--yes auto-mines" assertion with a regression
guard that --yes alone STILL prompts; added coverage for --auto-mine
alone, --yes --auto-mine together, and the pre-prompt estimate line.
`mempalace init` now ends with a `Mine this directory now? [Y/n]`
prompt and runs `mine()` in-process when accepted; `--yes` skips the
prompt and auto-mines for non-interactive callers. Declining prints
the resume command. Removes the "remember to type the next command"
friction since rooms + entities just got set up.
`mempalace mine` now wraps its main loop in `try / except
KeyboardInterrupt` and prints `files_processed`, `drawers_filed`, and
`last_file` before exiting with code 130 on Ctrl-C. Re-mining is safe
because deterministic drawer IDs make the upsert idempotent. The
hooks PID lock at `~/.mempalace/hook_state/mine.pid` is now actively
removed in a `finally` when its entry points at us, on clean exit,
error, or interrupt — preventing the next hook fire from briefly
waiting on a stale PID.
Closes#1181, #1182.
Three assertions in test_mcp_command_* were still checking for the old
`python -m mempalace.mcp_server` output string. Update to match the new
`mempalace-mcp` command printed by cmd_mcp().
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Prerequisite for RFC 001 (plugin spec, #743). Removes every direct
`import chromadb` outside the ChromaDB backend itself so the core
modules depend only on the backend abstraction layer.
Extends ChromaBackend with make_client, get_or_create_collection,
delete_collection, create_collection, and backend_version. Adds
update() to the BaseCollection contract. Non-backend callers
(mcp_server, dedup, repair, migrate, cli) now go through the
abstraction; tests patch ChromaBackend instead of chromadb.
With this landed, the RFC 001 spec can be enforced and PalaceStore
(#643) can ship as a plugin without touching core modules.
- 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>
igorls