Initial haunt-fm implementation

Full music recommendation pipeline: listening history capture via webhook,
Last.fm candidate discovery, iTunes preview download, CLAP audio embeddings
(512-dim), pgvector cosine similarity recommendations, playlist generation
with known/new track interleaving, and Music Assistant playback via HA.

Includes: FastAPI app, SQLAlchemy models, Alembic migrations, Docker Compose
with pgvector/pg17, status dashboard, and all API endpoints.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

pyproject.toml

@@ -0,0 +1,31 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "haunt-fm"
+version = "0.1.0"
+description = "Personal music recommendation service"
+requires-python = ">=3.12"
+dependencies = [
+    "fastapi>=0.115",
+    "uvicorn[standard]>=0.34",
+    "sqlalchemy[asyncio]>=2.0",
+    "asyncpg>=0.30",
+    "alembic>=1.14",
+    "pydantic-settings>=2.7",
+    "pgvector>=0.3",
+    "httpx>=0.28",
+    "jinja2>=3.1",
+    "numpy>=1.26",
+    "librosa>=0.10",
+    "transformers>=4.48",
+    "torch>=2.5",
+    "soundfile>=0.12",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0",
+    "pytest-asyncio>=0.24",
+]