[project]
name = "piia-engram"
version = "4.20.0"
description = "Local-first personal AI identity and memory for MCP-compatible coding tools — lessons, decisions, playbooks, and project context you can see, edit, and override."
readme = "README.md"
license = "AGPL-3.0-or-later"
requires-python = ">=3.10"
authors = [
    {name = "Engram Contributors"},
]
keywords = ["ai", "identity", "mcp", "memory", "persistent-memory", "personal-knowledge", "llm", "context", "claude-code", "cursor", "codex", "mcp-server", "ai-agent", "local-first", "cross-tool", "cross-session", "developer-preferences", "user-profile", "knowledge-management", "vibe-coding"]
classifiers = [
    "Development Status :: 4 - Beta",
    "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 :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    # mcp 2.0.0 removed mcp.server.fastmcp — piia-engram's server entry point
    # breaks on import. Stay on 1.x until an explicit 2.x migration ships.
    "mcp>=1.0,<2",
    "portalocker>=2.0",
]

[project.urls]
Homepage = "https://github.com/Patdolitse/piia-engram"
Repository = "https://github.com/Patdolitse/piia-engram"
"Bug Tracker" = "https://github.com/Patdolitse/piia-engram/issues"

[project.scripts]
piia-engram = "piia_engram.setup_wizard:main"
# MCP server entry point — lets any client launch via `piia-engram-mcp` or
# `uvx --from piia-engram piia-engram-mcp` (zero pre-install), instead of
# `python -m ...`.
piia-engram-mcp = "piia_engram.mcp_server:main"
# Backward-compat alias — `engram` will be removed in a future major release.
engram = "piia_engram.setup_wizard:main"

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "tomli>=2.0; python_version < \"3.11\"",
]
remote = [
    "uvicorn>=0.20",
]
# Local browser Dock GUI (`engram serve --ui`): a loopback-only ASGI app served by
# Starlette + uvicorn. Static assets (dock_ui/static) ship via package-data below.
ui = [
    "starlette>=0.40",
    "uvicorn>=0.20",
]
secure = [
    "cryptography>=41.0",
]
# v4.0 hybrid search (optional): semantic vector layer on top of the
# zero-dep FTS5 index. ~230-280MB once the embedding model is fetched.
# Absent install => search_index falls back to FTS5 + keyword only.
vector = [
    "sqlite-vec>=0.1.0",
    "fastembed>=0.3.0",
]
# Self-contained web reader (Round 4): `read_web_content` extracts article text
# without the external sidecar. trafilatura pulls a parsing stack (lxml, etc.);
# absent install => read_web_content uses the sidecar or returns an install hint.
reader = [
    "httpx>=0.27,<1",
    "trafilatura>=2.0,<3",
]
all = [
    "starlette>=0.40",
    "uvicorn>=0.20",
    "cryptography>=41.0",
    "sqlite-vec>=0.1.0",
    "fastembed>=0.3.0",
    "httpx>=0.27,<1",
    "trafilatura>=2.0,<3",
]

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"

[tool.setuptools.packages.find]
where = ["src"]

# Ship the Dock GUI's static assets (HTML/CSS/JS) inside the wheel + sdist. They live
# under the dock_ui package (not a Python package themselves), so StaticFiles can find
# them next to app.py in an installed package, exactly like in a source checkout.
[tool.setuptools.package-data]
"piia_engram.dock_ui" = ["static/*.html", "static/*.css", "static/*.js"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]