[build-system]
requires = ["hatchling>=1.27.0"]
build-backend = "hatchling.build"

[project]
name = "turbo-quant-memory"
version = "0.28.3"
description = "Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes."
readme = "README.md"
license = "MIT"
license-files = ["LICENSE"]
requires-python = ">=3.11"
keywords = [
  "mcp",
  "model-context-protocol",
  "ai-agents",
  "agent-memory",
  "semantic-search",
  "retrieval",
  "codex",
  "claude-code",
  "cursor",
  "knowledge-graph",
  "local-first",
  "rag",
]
classifiers = [
  "Development Status :: 4 - Beta",
  "Environment :: Console",
  "Intended Audience :: Developers",
  "Operating System :: OS Independent",
  "Programming Language :: Python",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
  "Topic :: Software Development",
  "Topic :: Software Development :: Libraries",
  "Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
  "argon2-cffi>=23.1.0,<24.0",
  "cryptography>=43.0.0,<47.0",
  "fastembed>=0.4.0,<1.0",
  "keyring>=25.0.0,<26.0",
  "lancedb>=0.30.2,<0.31",
  "markdown-it-py>=4.0.0,<5.0",
  "mcp>=1.12.4,<2.0",
]

[project.optional-dependencies]
# ONNX (fastembed) is the default embedder since it moved into core deps.
# The legacy PyTorch backend stays available as an opt-in extra for rollback:
# `uv tool install --force 'turbo-quant-memory[torch]'` + TQMEMORY_EMBEDDING_BACKEND=sentence-transformers.
# Kept an empty `onnx` alias so pre-flip install instructions don't break.
onnx = []
torch = [
  "sentence-transformers>=5.3.0,<6.0",
]

[project.urls]
Homepage = "https://github.com/Lexus2016/turbo_quant_memory"
Documentation = "https://github.com/Lexus2016/turbo_quant_memory#readme"
Repository = "https://github.com/Lexus2016/turbo_quant_memory"
Issues = "https://github.com/Lexus2016/turbo_quant_memory/issues"
Changelog = "https://github.com/Lexus2016/turbo_quant_memory/releases"

[project.scripts]
# turbo-memory-mcp is the documented command and every existing MCP config
# uses it; turbo-quant-memory is an alias so `uvx turbo-quant-memory serve`
# resolves without --from now that the distribution carries the brand name.
turbo-memory-mcp = "turbo_memory_mcp.cli:main"
turbo-quant-memory = "turbo_memory_mcp.cli:main"

[dependency-groups]
dev = [
  "mypy>=1.13,<2.0",
  "pytest>=8.3.0,<9.0",
  # PyTorch reference embedder — dev-only, used by the backend parity test to
  # verify fastembed's ONNX conversion still matches. Clients never install it.
  "ruff>=0.6,<1.0",
  "sentence-transformers>=5.3.0,<6.0",
]

[tool.hatch.build.targets.sdist]
# Explicit allow-list. Hatchling's default sweeps in everything not gitignored,
# which shipped .planning/, AUDIT_REPORT*.md, benchmarks/, CLAUDE.md and a stray
# .playwright-mcp/ console log into the 0.28.2 sdist. An allow-list makes a
# stray file in the working tree a non-event for the published artifact.
include = [
  "/src",
  "/tests",
  "/docs",
  "/examples",
  "/assets",
  "/README.md",
  "/README.uk.md",
  "/README.ru.md",
  "/CHANGELOG.md",
  "/LICENSE",
  "/server.json",
]

[tool.hatch.build.targets.wheel]
packages = ["src/turbo_memory_mcp"]

[tool.pytest.ini_options]
addopts = "-q"
testpaths = ["tests"]

[tool.ruff]
# Pinned explicitly so a ruff minor bump cannot silently widen CI's lint gate
# (ruff 0.16 expanded the default profile and flagged 141 findings on a
# codebase that was clean under classic E/F defaults).
line-length = 120
target-version = "py311"

[tool.ruff.lint]
select = [
  "E4",   # pycodestyle errors
  "E7",   # pycodestyle comparisons / statements
  "E9",   # runtime-level syntax issues
  "F",    # pyflakes
  "I",    # import sorting
  "UP",   # pyupgrade (3.11 idioms)
  "B",    # bugbear
  "SIM",  # simplify
  "RUF",  # ruff-specific (unused noqa, sorted __all__, ...)
]
extend-select = ["FURB", "TRY004", "PLR0402"]
ignore = [
  # Deliberate defensive-boundary style: IPC/file cleanup paths swallow
  # best-effort failures with an explicit try/except/pass so the reader sees
  # the failure mode inline. contextlib.suppress hides it behind an import.
  "SIM105",
]

[tool.ruff.lint.per-file-ignores]
# Multilingual test fixtures intentionally mix Cyrillic/Latin homoglyphs.
"tests/**" = ["RUF001"]

[tool.ruff.lint.isort]
known-first-party = ["turbo_memory_mcp"]

[tool.mypy]
# Baseline pinned at zero errors (2026-08-23 static-checks pass: 37 findings
# fixed at source - Sequence-covariant payload params, platform guards for
# windll/binascii/fcntl, TextEmbedder adapters, dict[str, Any] payload
# literals). Deliberately NOT strict yet; tighten incrementally.
python_version = "3.11"
ignore_missing_imports = true