[project]
name = "portfolio-optimiser"
version = "0.1.0"
description = "Generic framework on Microsoft Agent Framework for per-project cost-savings optimization"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
    # MAF — GA-pakker, IKKE meta-pakken `agent-framework`. Metaen drar `agent-framework-core[all]`,
    # og `[all]` trekker inn de fortsatt-beta integrasjonene (azure-ai-search/cosmos/ollama/…) som
    # tvinger pre-releases og drar med en ALPHA pydantic. Offisiell guide: installer kun det du trenger.
    # Beta-integrasjoner legges til per-fase (med snevert pre-release-scope) når de faktisk trengs.
    "agent-framework-core>=1.9.0",     # kjerne (GA)
    "agent-framework-foundry>=1.8.2",  # Azure/Foundry-profil: FoundryChatClient (GA)
    "agent-framework-openai>=1.8.2",   # OpenAI + OpenAI-kompatible lokale endpoints (GA) → lokal profil
    "pydantic>=2.11,<3",               # IR/validering (B1) — eksplisitt pin til STABIL 2.x, aldri alpha
]

[project.optional-dependencies]
dev = [
    "pytest>=8",
    "ruff>=0.6",
    "mypy>=1.11",
    # Fase 1 throwaway de-risk spikes (dev-only — NEVER shipped in the wheel; safe to delete).
    "agent-framework-orchestrations>=1.0.0",  # GA orchestration builders (GroupChat/Concurrent/Magentic); resolves with core 1.9.0
    "pulp>=2.8",                              # Spike C solver — PuLP bundles a CBC binary in its wheel (R2)
    "pytest-asyncio>=0.24",                   # MAF orchestrations are async (await workflow.run(...))
]

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

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

[tool.ruff]
line-length = 100
src = ["src", "tests", "spikes"]

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