try out uv for ci

.github/workflows/tests.yml

@@ -12,30 +12,33 @@ concurrency:
   cancel-in-progress: true
 jobs:
   Tests:
+    env:
+      UV_SYSTEM_PYTHON: 1
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
         os: [ubuntu-24.04]
         include:
           - python-version: "3.13"
-            os: macos-latest
+            os: macos-13
+          - python-version: "3.13"
+            os: macos-14
+          - python-version: "3.13"
+            os: macos-15
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: pip
-          cache-dependency-path: pyproject.toml
+      - name: Install uv and set the python version
+        uses: astral-sh/setup-uv@v6
+        with:
+          enable-cache: true
       - name: Install SimWeights
-        run: |
-          if [ "${{matrix.python-version}}" != "3.13" ]; then
-            python3 -m pip install nuflux
-          fi
-          python3 -m pip install flit
-          python3 -m flit install --symlink --deps=production --extras=test
+        run: uv pip install -e .[test]
       - name: Download Test Data
         run: |
           curl -u icecube:${{ secrets.ICECUBE_PASSWORD }} https://convey.icecube.wisc.edu/data/ana/Software/simweights/test-data/simweights_testdata.tar.gz -O
@@ -60,14 +63,20 @@ jobs:
           fail_ci_if_error: false
           verbose: true
   TestsIceTray:
+    env:
+      UV_SYSTEM_PYTHON: 1
     runs-on: ubuntu-latest
     container: icecube/icetray:icetray-devel-current-ubuntu22.04-X64
     strategy:
       fail-fast: false
     steps:
       - uses: actions/checkout@v4
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          enable-cache: true
       - name: Install SimWeights
-        run: python3 -m pip install 'pytest>7' .[test]
+        run: uv pip install -e .[test]
       - name: Download Test Data
         run: |
           curl -u icecube:${{ secrets.ICECUBE_PASSWORD }} https://convey.icecube.wisc.edu/data/ana/Software/simweights/test-data/simweights_testdata.tar.gz -O
@@ -104,3 +113,29 @@ jobs:
         with:
           files: "*.xml"
           deduplicate_classes_by_file_name: true
+  Docs:
+    env:
+      UV_SYSTEM_PYTHON: 1
+    runs-on: ubuntu-24.04
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.13"
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          enable-cache: true
+      - name: Install dependencies
+        run: |
+          uv pip install .[docs]
+      - name: Run Sphinx
+        working-directory: ./docs
+        run: make html
+      - name: Upload docs to docs.icecube.aq
+        if: ${{ github.ref_name == 'main' && !github.event.act }}
+        working-directory: ./docs
+        run: |
+          tar -czvf simweights_docs.tar.gz -C_build/html .
+          curl -XPUT -i --data-binary @simweights_docs.tar.gz https://docs.icecube.aq/api/upload?path=simweights/${{ github.ref_name }} -u icecube:${{ secrets.ICECUBE_PASSWORD }}

tests/test_weighter.py

@@ -4,17 +4,13 @@
 #
 # SPDX-License-Identifier: BSD-2-Clause
 
-import contextlib
 import unittest
 from copy import deepcopy
 
 import numpy as np
 
 from simweights import TIG1996, IceTopSurface, NaturalRateCylinder, NuGenSurface, PowerLaw, Weighter
 
-with contextlib.suppress(ImportError):
-    import nuflux
-
 
 def fluxfun1(energy):
     return energy**2
@@ -315,7 +311,7 @@ def test_nuflux(self):
         weighter1.add_weight_column("energy", data1["I3Weight"]["energy"])
         weighter1.add_weight_column("cos_zen", np.cos(data1["I3Weight"]["zenith"]))
 
-        honda = nuflux.makeFlux("honda2006")
+        honda = nuflux.makeFlux("honda2006")  # noqa : F821
         w = weighter1.get_weights(honda)
         fluxval = honda.getFlux(14, data1["I3Weight"]["energy"], np.cos(data1["I3Weight"]["zenith"]))
         oneweight = weighter1.get_weights(1)