[build-system]
requires = ["maturin>=1.7,<2"]
build-backend = "maturin"

[project]
name = "loci-mem"
version = "0.6.0"
description = "Scoped memory for coding agents: a router in front of a structure store and an episode store."
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
authors = [{ name = "Yigit Yildiz" }]
keywords = ["memory", "rag", "knowledge-graph", "mcp", "agents", "retrieval"]
classifiers = [
  "Development Status :: 3 - Alpha",
  "Intended Audience :: Developers",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Topic :: Software Development :: Libraries",
  "Topic :: Text Processing :: Indexing",
  "Environment :: Console",
  "Operating System :: OS Independent",
]

# The base install stays light on purpose: routing and lexical episode search
# work with no model download and no vector database.
# numpy alone. rank-bm25, scikit-learn and joblib are gone from the runtime:
# BM25 and the char-gram matrix are Rust now, and nothing under src/ imports
# them. That takes scipy out of the base install with scikit-learn, which was
# the bulk of it. They remain DEV dependencies, as the reference the parity
# tests compare against.
dependencies = [
  "numpy>=1.21",
]

[project.optional-dependencies]
# Structure backend. graphify is a dependency, never a fork: loci reads its
# graph.json data contract through an adapter, so a different extractor can be
# substituted without touching anything above backends/.
graphify = ["graphifyy>=0.9.9"]
# ONNX Runtime rather than torch, and the reason is measured rather than
# stylistic: torch cost 6.2s of a 7.77s query, segfaulted inside the scope
# fan-out (three locks did not close it -- see embed.py), and drew a progress
# bar on the stderr that hosts read errors from.
embeddings = ["onnxruntime>=1.17", "tokenizers>=0.15", "huggingface-hub>=0.20"]
rerank = ["onnxruntime>=1.17", "tokenizers>=0.15", "huggingface-hub>=0.20"]
# Upper-bounded on purpose. mcp 2.0 removed the low-level `@server.list_tools()`
# and `@server.call_tool()` decorators that mcp_server.py is built on, leaving
# only add_request_handler or a FastMCP rewrite. An unbounded `mcp>=1.0` resolves
# to 2.x and the server dies at import with AttributeError -- a crash the CLI
# never sees, because nothing else in loci imports mcp.
mcp = ["mcp>=1.0,<2"]
all = ["graphifyy>=0.9.9", "onnxruntime>=1.17", "tokenizers>=0.15",
       "huggingface-hub>=0.20", "mcp>=1.0,<2"]
# sentence-transformers is a DEV dependency and stays one. tests/test_embed.py
# compares the ONNX encoder against it, and deleting the reference
# implementation deletes the proof that loci still encodes the way the nine
# floors in calibration.json were fitted to.
dev = ["pytest>=8.0", "sentence-transformers>=3.0", "scikit-learn>=1.3",
       "rank-bm25>=0.2.2", "joblib>=1.3"]

[project.urls]
Homepage = "https://github.com/3M1RY33T/loci"
Issues = "https://github.com/3M1RY33T/loci/issues"

# The distribution is `loci-mem` (PyPI `loci` is an abandoned 2018
# outlier-detection package); the command, the import and the project are
# all `loci`. Same split as python-dateutil -> dateutil.
[project.scripts]
loci = "loci.cli:main"

# A Python package with ONE compiled module inside it, not a Rust package with
# Python attached: router.py and everything above backends/ stay Python, and
# src/loci remains the source of truth for them.
[tool.maturin]
python-source = "src"
module-name = "loci._core"
manifest-path = "rust/loci-py/Cargo.toml"
features = ["pyo3/extension-module"]
# The parity harness is TRACKED, because it needs review and history, but it is
# development scaffolding rather than distribution. .gitignore cannot say that
# -- ignoring it would untrack it -- and the build backend filters by
# .gitignore, so without this it ships to PyPI. Same failure as the .superpowers
# review diffs in the 0.1.0 sdist, arriving by a different route.
exclude = ["parity/**", "target/**", "rust/target/**"]

[tool.pytest.ini_options]
testpaths = ["tests"]
markers = [
  "reference: compares against sentence-transformers, the encoder being replaced",
  # Must run in its own PROCESS, which means its own FILE: importorskip runs
  # at collection, so deselecting by marker still imports scikit-learn. See
  # tests/test_lexical_reference.py. Two passes:
  #   pytest tests --ignore=tests/test_lexical_reference.py
  #   pytest tests/test_lexical_reference.py
  "lexical_reference: compares against sklearn and rank_bm25; own file and process",
]