chore: use dynamic versioning

.github/workflows/test.yml

@@ -23,7 +23,9 @@ jobs:
       - name: Checkout
         uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v5.0.2
         with:
-          fetch-depth: 1
+          # Full history + tags so hatch-vcs can resolve the package version
+          # during `uv sync` (the editable install runs the version hook).
+          fetch-depth: 0
           persist-credentials: false
 
       - name: Install a specific version of uv

.gitignore

@@ -6,6 +6,7 @@ __pycache__/
 *.so
 
 # Distribution / packaging
+packages/datacube-benchmark/src/datacube_benchmark/_version.py
 .Python
 env/
 .venv/

packages/datacube-benchmark/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "datacube-benchmark"
-version = "0.1.0"
+dynamic = ["version"]
 description = "Utilities to benchmark datacubes with various formats, compressions, and chunking schemes."
 readme = "README.md"
 authors = [
@@ -31,9 +31,17 @@ dependencies = [
 datacube-benchmark = "datacube_benchmark:main"
 
 [build-system]
-requires = ["hatchling"]
+requires = ["hatchling", "hatch-vcs"]
 build-backend = "hatchling.build"
 
+[tool.hatch.version]
+source = "vcs"
+# The package lives in a workspace subdirectory; point setuptools-scm at the repo root.
+raw-options = { root = "../.." }
+
+[tool.hatch.build.hooks.vcs]
+version-file = "src/datacube_benchmark/_version.py"
+
 [tool.numpydoc_validation]
 # See https://numpydoc.readthedocs.io/en/latest/validation.html#built-in-validation-checks for list of checks
 checks = [

packages/datacube-benchmark/src/datacube_benchmark/__init__.py

@@ -11,7 +11,13 @@
 
 import numpy as np
 
+try:
+    from ._version import __version__
+except ImportError:  # pragma: no cover - _version.py is generated at build time
+    __version__ = "0.0.0+unknown"
+
 __all__ = [
+    "__version__",
     "Config",
     "create_empty_dataarray",
     "create_zarr_store",