mirror of
https://github.com/dataforcanada/d4c-datapkg-orthoimagery.git
synced 2026-10-02 04:05:43 +02:00
44 lines
1.8 KiB
TOML
44 lines
1.8 KiB
TOML
# Python environment for this repo, and for the dev-container image that runs it
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# (docker/python/Dockerfile installs exactly this with `uv sync --locked`).
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#
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# There is no Python source here — the repo is shell scripts, VRTs and metadata —
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# so `package = false` below: uv installs the dependencies and never tries to
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# build or install the project itself.
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#
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# Versions: this file carries lower bounds, `uv.lock` carries the exact pins for
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# the *whole* transitive tree. Both are committed, and the image build runs
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# `uv sync --locked`, so a rebuild resolves to byte-identical versions. Bump
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# deliberately, then rebuild + re-verify:
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# uv lock --upgrade-package rasterio # one package
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# uv lock --upgrade # everything
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# (The bounds below are the versions pinned 2026-09-14, all supporting Python
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# 3.14 — the Ubuntu 26.04 system interpreter the image uses.)
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[project]
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name = "d4c-datapkg-orthoimagery"
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version = "0.0.0"
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description = "Orthoimagery data packages for Data for Canada"
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requires-python = ">=3.14"
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dependencies = [
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"dask[array]>=2026.8.0",
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"numpy>=2.5.3",
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"portolan-cli>=0.8.0",
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"rasterio>=1.5.1",
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"rioxarray>=0.23.0",
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"xarray>=2026.7.0",
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]
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[tool.uv]
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# No Python package of our own to build/install — dependencies only.
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package = false
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# These wheels bundle their own libgdal, which would shadow the image's GDAL
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# (built with ECW + MrSID) and silently lose both drivers. Building them from
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# source makes them link against the image's libgdal via `gdal-config`.
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# portolan-cli pulls in both rasterio and pyogrio, so this is load-bearing.
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#
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# docker/python/uv.toml says the same thing image-wide (for ad-hoc
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# `uv pip install` inside the container); this key is the project's own copy so
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# `uv sync` is correct on its own terms, independent of that file.
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no-binary-package = ["rasterio", "fiona", "pyogrio", "gdal"]
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