switch cicd flow to conda

.github/workflows/python-app.yml

@@ -1,6 +1,3 @@
-# This workflow will install Python dependencies, run tests and lint with a single version of Python
-# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
-
 name: Python application
 
 on:
@@ -19,21 +16,26 @@ jobs:
 
     steps:
     - uses: actions/checkout@v3
-    - name: Set up Python 3.10
-      uses: actions/setup-python@v3
+    - name: Set up Miniconda
+      uses: conda-incubator/setup-miniconda@v2
       with:
+        auto-update-conda: true
+        miniconda-version: "latest"
         python-version: "3.10"
+        activate-environment: adl
+        environment-file: environment.yml
+        condarc-file: condarc.yml
+
+    # Assuming you have an environment.yml that specifies dependencies.
+    # If not, you can use conda or mamba commands to install packages directly
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip
-        pip install flake8 pytest
-        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+        conda env update --file environment.yml --name adl
+
     - name: Lint with flake8
       run: |
-        # stop the build if there are Python syntax errors or undefined names
-        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+        conda run --name adl flake8 --config .flake8
+
     - name: Test with pytest
       run: |
-        python -m pytest
+        conda run --name adl python -m pytest