Add uv config

.github/workflows/ci.yml

@@ -34,20 +34,19 @@ jobs:
         id: date
         run: echo "date=$(date +%Y-%m-%d)" >> "${GITHUB_OUTPUT}"
       -
-        name: Create Environment with Mamba
-        uses: mamba-org/setup-micromamba@v1
+        name: Install make
+        uses: awalsh128/cache-apt-pkgs-action@v1
         with:
-          environment-name: climada_env_${{ matrix.python-version }}
-          environment-file: requirements/env_climada.yml
-          create-args: >-
-            python=${{ matrix.python-version }}
-            make
-          # Persist environment for branch, Python version, single day
-          cache-environment-key: env-${{ github.ref }}-${{ matrix.python-version }}-${{ steps.date.outputs.date }}
+          packages: make
       -
-        name: Install CLIMADA
+        name: Install uv
+        uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b  # v8.1.0
+        with:
+          python-version: ${{ matrix.python-version }}
+      -
+        name: Install dependencies
         run: |
-          python -m pip install "./[dev]"
+          uv sync --locked --dev
       -
         name: Run Unit Tests
         run: |

.pre-commit-config.yaml

@@ -21,3 +21,14 @@ repos:
     rev: '24.4.2'
     hooks:
       - id: black-jupyter
+
+  - repo: https://github.com/astral-sh/uv-pre-commit
+    rev: 0.11.7
+    hooks:
+      - id: uv-lock
+      - id: uv-export
+        args: [
+          --frozen, --no-hashes, --quiet, --group=doc,
+          --output-file=doc/requirements.txt
+        ]
+        files: (^uv\.lock|doc/requirements\.txt$)

.readthedocs.yml

@@ -4,24 +4,12 @@ sphinx:
   configuration: doc/conf.py
 
 build:
-  os: "ubuntu-22.04"
+  os: "ubuntu-26.04"
   tools:
-    python: "mambaforge-4.10"
-
-  # Append fixed Python version to requirements
-  jobs:
-    pre_create_environment:
-      - echo "  - python=3.11" >> requirements/env_climada.yml
+    python: "miniforge3-25.11"
 
 conda:
-  environment: requirements/env_climada.yml
-
-python:
-  install:
-    - method: pip
-      path: .
-      extra_requirements:
-        - doc
+  environment: env-docs.yml
 
 formats:
   - pdf

Makefile

@@ -2,6 +2,8 @@
 # test, coverage and lint
 ###
 
+PRE_CMD = uv run --
+
 PYTEST_JUNIT_ARGS = --junitxml=tests_xml/tests.xml
 
 PYTEST_COV_ARGS = \
@@ -16,32 +18,32 @@ help:  ## Use one of the following instructions:
 
 .PHONY : lint
 lint : ## Static code analysis with Pylint
-	pylint -ry climada > pylint.log || true
+	$(PRE_CMD) pylint -ry climada > pylint.log || true
 
 .PHONY : unit_test
 unit_test : ## Unit tests execution with coverage and xml reports
-	pytest $(PYTEST_ARGS) --ignore=climada/test climada/
+	$(PRE_CMD) pytest $(PYTEST_ARGS) --ignore=climada/test climada/
 
 .PHONY : install_test
 install_test : ## Test installation was successful
-	pytest $(PYTEST_JUNIT_ARGS) --pyargs climada.engine.test.test_cost_benefit \
+	$(PRE_CMD) pytest $(PYTEST_JUNIT_ARGS) --pyargs climada.engine.test.test_cost_benefit \
 	climada.engine.test.test_impact
 
 .PHONY : data_test
 data_test : ## Test data APIs
-	pytest $(PYTEST_JUNIT_ARGS) script/jenkins/test_data_api.py
+	$(PRE_CMD) pytest $(PYTEST_JUNIT_ARGS) script/jenkins/test_data_api.py
 
 .PHONY : notebook_test
 notebook_test : ## Test notebooks in doc/tutorial
-	pytest $(PYTEST_JUNIT_ARGS) script/jenkins/test_notebooks.py
+	$(PRE_CMD) pytest $(PYTEST_JUNIT_ARGS) script/jenkins/test_notebooks.py
 
 .PHONY : integ_test
 integ_test : ## Integration tests execution with xml reports
-	pytest $(PYTEST_ARGS) climada/test/
+	$(PRE_CMD) pytest $(PYTEST_ARGS) climada/test/
 
 .PHONY : test
 test : ## Unit and integration tests execution with coverage and xml reports
-	pytest $(PYTEST_ARGS) climada/
+	$(PRE_CMD) pytest $(PYTEST_ARGS) climada/
 
 .PHONY : ci-clean
 ci-clean :

climada/entity/exposures/litpop/nightlight.py

@@ -32,7 +32,6 @@
 import rasterio
 import scipy.sparse as sparse
 from affine import Affine
-from osgeo import gdal
 from PIL import Image
 from shapefile import Shape
 
@@ -479,7 +478,7 @@ def load_nightlight_nasa(bounds, req_files, year):
             continue
         extent = np.int64(np.clip(extent, 0, tile_size[None] - 1))
         # pylint: disable=unsubscriptable-object
-        im_nl, _ = read_bm_file(SYSTEM_DIR, fname % (year))
+        im_nl = read_bm_file(SYSTEM_DIR, fname % (year))
         im_nl = np.flipud(im_nl)
         im_nl = sparse.csc.csc_matrix(im_nl)
         im_nl = im_nl[extent[0, 0] : extent[1, 0] + 1, extent[0, 1] : extent[1, 1] + 1]
@@ -512,18 +511,15 @@ def read_bm_file(bm_path, filename):
     -------
     arr1 : array
         Raw BM data
-    curr_file : gdal GeoTiff File
-        Additional info from which coordinates can be calculated.
     """
     path = Path(bm_path, filename)
     LOGGER.debug("Importing%s.", path)
     if not path.exists():
         raise FileNotFoundError(
             "Invalid path: check that the path to BlackMarble file is correct."
         )
-    curr_file = gdal.Open(str(path))
-    arr1 = curr_file.GetRasterBand(1).ReadAsArray()
-    return arr1, curr_file
+    curr_file = rasterio.open(path)
+    return curr_file.read(1)
 
 
 def unzip_tif_to_py(file_gz):

climada/test/test_nightlight.py

@@ -29,7 +29,6 @@
 import affine
 import numpy as np
 import scipy.sparse as sparse
-from osgeo import gdal
 from PIL import Image
 from shapely.geometry import Polygon
 
@@ -124,18 +123,11 @@ def test_read_bm_files(self):
         with self.assertLogs(
             "climada.entity.exposures.litpop.nightlight", level="DEBUG"
         ) as cm:
-            arr1, curr_file = nightlight.read_bm_file(
-                bm_path=temp_dir.name, filename=filename
-            )
+            arr1 = nightlight.read_bm_file(bm_path=temp_dir.name, filename=filename)
         self.assertIn("Importing" + temp_dir.name, cm.output[0])
 
         # Check outputs are a np.array and a gdal DataSet and band 1 is selected
         self.assertIsInstance(arr1, np.ndarray)
-        self.assertIsInstance(curr_file, gdal.Dataset)
-        self.assertEqual(curr_file.GetRasterBand(1).DataType, 1)
-
-        # Release dataset, so the GC can close the file
-        curr_file = None
 
         # Check that the right exception is raised
         with self.assertRaises(FileNotFoundError) as cm: