Update the workflow for deploying the package on anaconda

.github/conda/meta.yaml

@@ -0,0 +1,54 @@
+{% set name = "dl1_data_handler" %}
+{% set version = os.environ.get('PACKAGE_VERSION', '0.0.0+dev') %}
+
+package:
+  name: {{ name }}
+  version: {{ version }}
+
+source:
+
+  path: ../../ 
+
+build:
+  noarch: python
+  number: 0
+  script: "{{ PYTHON }} -m pip install . --no-deps -vv"
+
+requirements:
+  host:
+    - python >=3.10
+    - pip
+    - setuptools >=65
+    - setuptools_scm >=6.2
+  run:
+    - python >=3.10
+    - astropy
+    - numpy
+    - pandas
+    - pyyaml
+    - scipy
+    - traitlets
+    - pydot
+    - setuptools
+    - ctapipe>=0.23,<0.26
+
+
+test:
+  imports:
+    - dl1_data_handler
+
+about:
+  home: https://github.com/cta-observatory/dl1-data-handler
+  license: BSD-3-Clause
+  summary: "Utilities for reading and processing CTA R1/DL0/DL1 data in a standardized format."
+  description: |
+    A package of utilities for reading and applying image processing to Cherenkov Telescope Array (CTA)
+    R1/DL0/DL1 data in a standardized format. Created primarily for testing machine learning image
+    analysis techniques on IACT data.
+  dev_url: https://github.com/cta-observatory/dl1-data-handler
+
+extra:
+  recipe-maintainers:
+    - Daniel Nieto
+    - Tjark Miener
+    - Alexander Cervino

.github/workflows/release_conda.yml

@@ -0,0 +1,59 @@
+name: Release Conda
+
+on:
+  release:
+    types: [published]
+  workflow_dispatch:
+
+jobs:
+  publish:
+    runs-on: ubuntu-22.04
+
+    steps:
+      - name: Checkout repository and fetch tags
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0 
+
+      - name: Setup Miniconda and Conda Tools
+        uses: conda-incubator/setup-miniconda@v3
+        with:
+          python-version: '3.10' 
+          channels: conda-forge 
+          auto-update-conda: true
+          mamba-version: "*"
+          activate-environment: false 
+
+      - name: Install anaconda-client and conda-build
+        shell: bash
+        run: |
+          mamba install anaconda-client conda-build -y
+
+      - name: Conda Build and Upload Package
+        shell: bash
+        env:
+          ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_TOKEN }} 
+        run: |
+          CONDA_RECIPE_DIR=".github/conda"
+          ANACONDA_CHANNEL="ctlearn-project"
+
+          FULL_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "0.0.0+dev")
+          VERSION="${FULL_TAG#v}"
+          VERSION="${VERSION#V}"
+
+          echo "Building package version: $VERSION"
+          export PACKAGE_VERSION=$VERSION
+
+          conda run conda build $CONDA_RECIPE_DIR
+
+          PACKAGE_PATH=$(conda run conda build $CONDA_RECIPE_DIR --output)
+
+          if [[ "$VERSION" != "0.0.0+dev" ]]; then
+              echo "Uploading $PACKAGE_PATH to $ANACONDA_CHANNEL channel..."
+              conda run anaconda upload \
+                "$PACKAGE_PATH" \
+                --force \
+                --user $ANACONDA_CHANNEL 
+          else
+              echo "Skipping upload: Version is $VERSION (development)."
+          fi

README.rst

@@ -31,26 +31,26 @@ Previously named image-extractor (v0.1.0 - v0.6.0). Currently under development,
 Installation
 ------------
 
-The following installation method (for Linux) is recommended:
+The lastest version fo this package can be installed as a conda or pip package:
 
-Installing as a conda package
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+.. code-block:: bash
 
-To install dl1-data-handler as a conda package, first install Anaconda by following the instructions here: https://www.anaconda.com/distribution/.
+   conda install ctlearn-project::dl1_data_handler
 
-The following command will set up a conda virtual environment, add the
-necessary package channels, and install dl1-data-handler specified version and its dependencies:
+or
 
 .. code-block:: bash
 
-   DL1DH_VER=0.14.5
-   wget https://raw.githubusercontent.com/cta-observatory/dl1-data-handler/v$DL1DH_VER/environment.yml
-   conda env create -n [ENVIRONMENT_NAME] -f environment.yml
-   conda activate [ENVIRONMENT_NAME]
-   conda install -c ctlearn-project dl1_data_handler=$DL1DH_VER
+   pip install dl1-data-handler
+
+Installing as a conda package
 
 This should automatically install all dependencies (NOTE: this may take some time, as by default MKL is included as a dependency of NumPy and it is very large).
 
+Developers
+------------
+
+We welcome contributions to this package! If you're interested in contributing, please make sure to follow the `ctapipe developer guidelines <https://ctapipe.readthedocs.io/en/latest/developer-guide/getting-started.html>`_.
 
 Links
 -----

environment.yml

@@ -10,7 +10,7 @@ dependencies:
     - numpy
     - scipy
     - pip
-    - ctapipe>=0.22,<0.26
+    - ctapipe >=0.23,<0.26
     - traitlets
     - pyyaml
     - pandas