Jonas
4c9deda66a
Add the core labeling data model (label sets, ad-hoc Main->Sub class hierarchy, frames, bounding-box labels, per-frame/per-set label status) behind a FastAPI app, with SQLite as the default swappable DATABASE_URL. Multi-user support is attribution-only for now (get-or-create by username, no login flow yet). Dataset versioning/promotion is intentionally deferred - it needs its own design pass around snapshot semantics. Each test gets a fully isolated app+DB via create_app(database_url=...) rather than relying on process-global state. 13/13 tests pass; also verified live end-to-end against a running uvicorn instance. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
24 lines
565 B
TOML
24 lines
565 B
TOML
[project]
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name = "spelunkai-labeling-backend"
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version = "0.0.0"
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description = "SpelunkAI Labeling Tool backend: API + data model for bounding-box labels"
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requires-python = ">=3.10"
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dependencies = [
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"fastapi>=0.115",
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"uvicorn[standard]>=0.32",
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"sqlalchemy>=2.0",
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]
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[project.optional-dependencies]
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dev = ["pytest>=8", "httpx>=0.27"]
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[project.scripts]
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spelunkai-labeling-backend = "spelunkai_labeling_backend.cli:main"
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[build-system]
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requires = ["setuptools>=68"]
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build-backend = "setuptools.build_meta"
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[tool.setuptools.packages.find]
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where = ["src"]
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