Fix ASV CI Workflow (#792)

* update workflow

* update env file

* update env file (2)

* update asv-bencnhmarking.yml

* fetch branches

* update asv-benchmarking.yml

* try different version scheme

* revert to old version scheme

* drop 'v' from version

* try to remove shell spec

* add v

* add bash

* Update .github/workflows/asv-benchmarking.yml

Co-authored-by: Anissa Zacharias <[email protected]>

* update mpas_ocean benchmark to use current path

* fix dataset download (1)

* fix dataset download (2)

* fix dataset download (3)

* fix dataset download (4)

* add compressed mesh files using zarr

* use zarr files in benchmark

* delete meshfiles and update benchmark to version working on fork

* attempt to fix env cache (1)

* attempt to fix env cache (2)

* attempt to fix env cache (3)

* attempt to fix env cache (4)

* attempt to fix env cache (5)

* attempt to fix env cache (5)

* attempt to fix env cache (6)

---------

Co-authored-by: Anissa Zacharias <[email protected]>

.github/workflows/asv-benchmarking.yml

@@ -9,6 +9,9 @@ on:
 jobs:
   benchmark:
     runs-on: ubuntu-latest
+    defaults:
+      run:
+        shell: bash -el {0}
     env:
       CONDA_ENV_FILE: ./ci/asv.yml
       ASV_DIR: ./benchmarks
@@ -18,36 +21,51 @@ jobs:
         uses: actions/checkout@v4
         with:
           repository: UXARRAY/uxarray
+          ref: main
           fetch-depth: 0
+
+      - name: Fetch all tags and branches for uxarray
+        run: |
+          git fetch --all --tags
+
       - name: Checkout uxarray-asv
         uses: actions/checkout@v4
         with:
-          repository: uxarray/uxarray-asv
+          repository: UXARRAY/uxarray-asv
           persist-credentials: false
           fetch-depth: 0
           ref: main
           path: uxarray-asv
-      - name: Set environment variables
-        run: |
-          echo "TODAY=$(date +'%Y-%m-%d')" >> $GITHUB_ENV
 
-      - name: Set up conda environment
-        id: env-setup
-        continue-on-error: true
-        uses: mamba-org/setup-micromamba@v1
+      - name: Setup Miniforge
+        uses: conda-incubator/setup-miniconda@v3
         with:
-          environment-file: ./ci/asv.yml
-          cache-environment: true
-          cache-environment-key: "benchmark-${{runner.os}}-${{runner.arch}}-${{env.TODAY}}"
+          miniforge-version: "24.1.2-0"
+          activate-environment: asv
+
+      - name: Get date
+        id: get-date
+        run: echo "today=$(/bin/date -u '+%Y%m%d')" >> $GITHUB_OUTPUT
+        shell: bash
 
-      - name: retry environment set up if failed
-        if: steps.env-setup.outcome == 'failure'
-        uses: mamba-org/setup-micromamba@v1
+      - name: Cache environment
+        uses: actions/cache@v4
         with:
-          download-micromamba: false
-          environment-file: ./ci/asv.yml
-          cache-environment: true
-          cache-environment-key: "benchmark-${{runner.os}}-${{runner.arch}}-${{env.TODAY}}"
+          path: ${{ env.CONDA }}/envs
+          key: conda-${{ runner.os }}--${{ runner.arch }}--${{ steps.get-date.outputs.today }}-${{ hashFiles('./ci/asv.yml') }}-${{ env.CACHE_NUMBER }}
+        env:
+          CACHE_NUMBER: 0
+        id: cache
+
+      - name: Update environment
+        run:
+          conda env update -n asv -f ./ci/asv.yml
+        if: steps.cache.outputs.cache-hit != 'true'
+
+      - name: Conda list
+        run: |
+          conda info
+          conda list
 
       - name: Copy existing results
         run: |

benchmarks/mpas_ocean.py

@@ -4,7 +4,7 @@
 
 import uxarray as ux
 
-current_path = Path(os.path.dirname(os.path.realpath(__file__))).parents[0]
+current_path = Path(os.path.dirname(os.path.realpath(__file__)))
 
 data_var = 'bottomDepth'
 
@@ -17,14 +17,14 @@
 filenames = [grid_filename_480, data_filename_480, grid_filename_120, data_filename_120]
 
 for filename in filenames:
-    if not os.path.isfile(filename):
+    if not os.path.isfile(current_path / filename):
         # downloads the files from Cookbook repo, if they haven't been downloaded locally yet
         url = f"https://github.com/ProjectPythia/unstructured-grid-viz-cookbook/raw/main/meshfiles/{filename}"
-        _, headers = urllib.request.urlretrieve(url, filename=filename)
+        _, headers = urllib.request.urlretrieve(url, filename=current_path / filename)
 
 
-file_path_dict = {"480km": [grid_filename_480, data_filename_480],
-                  "120km": [grid_filename_120, data_filename_120]}
+file_path_dict = {"480km": [current_path / grid_filename_480, current_path / data_filename_480],
+                  "120km": [current_path / grid_filename_120, current_path / data_filename_120]}
 
 
 class Gradient: