luna
32dd2abdce
Supersedes the venv-based fix attempt in 694317a entirely: replaces the
runtime side-venv with a python3.withPackages derivation
(pkgs/mnemosyne-env.nix: mnemosyne-memory 3.15.1 + mnemosyne-hermes 0.5.0
via fetchPypi, base deps only). Env mounted :ro into the container; the
oneshot only writes the plugins/mnemosyne symlink to the env's
site-packages passthru — a canonical store path valid on both sides. No
runtime fetch, no stamp, no root-executes-luna-writable-code, no
host/container path mismatch, no config.yaml sed.
87 lines
3.6 KiB
Nix
87 lines
3.6 KiB
Nix
# Mnemosyne memory provider for Hermes on mars — packaged for real (Nix).
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#
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# Why derivations instead of a runtime side-venv: the official Hermes image
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# vendors its own Python and stays off-limits to pip (no pip module, PEP 668),
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# and a runtime venv built host-side breaks twice over inside the container:
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# the venv's pyvenv.cfg records a /nix/store python home the container never
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# mounts, and a plugins symlink with an absolute host path points nowhere
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# from /opt/data. Building here means nothing is fetched at boot, nothing
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# under the provider's control is writable from inside the container, and
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# the closure is as reproducible as the rest of the host.
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#
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# Package set (one shared site-packages — the plugin wrapper imports its
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# sibling `mnemosyne` core package, so withPackages, not separate envs):
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#
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# mnemosyne-memory core engine: SQLite/FTS5 storage, recall, tools.
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# Base deps only (PyYAML); the optional extras (llm,
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# embeddings via fastembed/onnxruntime, mcp, sync) are
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# deliberately NOT pulled — recall uses the bundled FTS5
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# lexical path, and the heavyweight ML stack (~hundreds of
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# MB, live network on first vector use) buys nothing for
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# a first deployment. Adding the embeddings extra later
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# is pinning fastembed + sqlite-vec here.
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# mnemosyne-hermes the wrapper Hermes discovers under $HERMES_HOME/plugins
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# (installs itself as package `hermes_memory_provider`).
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# Hard dependency: mnemosyne-memory, PyYAML.
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#
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# Platform note: both sdists are pure Python (build no C extensions), so
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# nothing here constrains the host arch beyond the interpreter itself.
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{
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python3,
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fetchPypi,
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}:
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let
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python = python3;
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mnemosyneMemory = python.pkgs.buildPythonPackage rec {
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pname = "mnemosyne-memory";
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version = "3.15.1";
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pyproject = true;
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src = fetchPypi {
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inherit pname version;
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sha256 = "sha256-lspUMxc0pUSkhSUrNdiiO5OJ1NMC/S853EYSanXtXKM=";
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};
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build-system = with python.pkgs; [ setuptools ];
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# Base dependency set — everything else in the upstream metadata is an
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# optional extra (llm / embeddings / mcp / sync / test / dev) and is not
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# installed; see the file-level comment.
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dependencies = with python.pkgs; [ pyyaml ];
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doCheck = false; # upstream tests want a live Hermes + LLM key present
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pythonImportsCheck = [ "mnemosyne" ];
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};
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mnemosyneHermes = python.pkgs.buildPythonPackage rec {
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pname = "mnemosyne-hermes";
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version = "0.5.0";
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pyproject = true;
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src = fetchPypi {
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inherit pname version;
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sha256 = "sha256-CzEvnUw5oPFtT5bHQQ/GBdy2C/E7qShQn32irIRYKqw=";
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};
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build-system = with python.pkgs; [ setuptools ];
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# The wrapper declares `mnemosyne-memory[embeddings]>=3.11.1` on PyPI, but
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# the embeddings extra is only consulted when vector recall is enabled
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# (see above) — pass the core dependency explicitly rather than dragging
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# in onnxruntime for nothing.
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dependencies = [ mnemosyneMemory ] ++ (with python.pkgs; [ pyyaml ]);
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doCheck = false;
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pythonImportsCheck = [ "hermes_memory_provider" ];
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};
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# The exposed value is the python env itself (a store path mounted :ro).
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# Hermes only needs the site-packages dir inside it; `sitePackages` is a
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# passthru the python interpreter derivation (and hence withPackages envs)
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# exposes, so the caller uses `${env.sitePackages}` instead of guessing
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# the python version in a path literal.
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in
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python.withPackages (_: [ mnemosyneMemory mnemosyneHermes ])
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