ci: try adding provider update

refactor: drop `to_bool` function from `model` class

.github/workflows/update-provider-database.yml

@@ -0,0 +1,64 @@
+# This workflow will install Python dependencies and update database from the provider files
+
+name: Update provider database on pull request
+
+on:
+  pull_request:
+
+jobs:
+  build:
+
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: [3.11]
+    env:
+      OS: ${{ matrix.os }}
+      PYTHON: ${{ matrix.python-version }}
+    defaults:
+      run:
+        shell: bash -l {0}
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up mamba ${{ matrix.python-version }}
+      uses: mamba-org/setup-micromamba@v1
+      with:
+        micromamba-version: 'latest'
+        environment-file: environment.yml
+        init-shell: bash
+        environment-name: pyTMD
+        cache-environment: true
+        post-cleanup: 'all'
+        create-args: >-
+          python=${{ matrix.python-version }}
+          flake8
+          gh
+    - 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
+    - name: Merge Providers
+      run: |
+        pip install --no-deps .
+        python providers/_providers_to_database.py
+    - name: Check for changes
+      id: changes
+      run: |
+        if [ -n "$(git status --porcelain)" ] ; then
+            echo "DETECTED=true" >> $GITHUB_OUTPUT;
+            echo "::debug::Changes detected";
+        else
+            echo "DETECTED=false" >> $GITHUB_OUTPUT;
+            echo "::debug::No changes detected";
+        fi
+    - name: Checkout PR and Push Changes
+      if: steps.changes.outputs.DETECTED == 'true'
+      env:
+        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      run: |
+        gh pr checkout ${{ github.event.pull_request.number }}
+        git push

providers/GSFC.json

@@ -179,6 +179,34 @@
             "type": "z",
             "variable": "tide_load",
             "version": "5.5"
+        },
+        "GOT5.5D": {
+            "format": "GOT-netcdf",
+            "name": "GOT5.5D",
+            "model_file": [
+                "GOT5.5/ocean_tides/2n2.nc",
+                "GOT5.5/ocean_tides/j1.nc",
+                "GOT5.5D/ocean_tides/k1_5.5D.nc",
+                "GOT5.5/ocean_tides/k2.nc",
+                "GOT5.5D/ocean_tides/m2_5.5D.nc",
+                "GOT5.5/ocean_tides/m4.nc",
+                "GOT5.5/ocean_tides/ms4.nc",
+                "GOT5.5/ocean_tides/mu2.nc",
+                "GOT5.5/ocean_tides/n2.nc",
+                "GOT5.5/ocean_tides/o1.nc",
+                "GOT5.5/ocean_tides/oo1.nc",
+                "GOT5.5D/ocean_tides/p1_5.5D.nc",
+                "GOT5.5/ocean_tides/q1.nc",
+                "GOT5.5D/ocean_tides/s1_5.5D.nc",
+                "GOT5.5D/ocean_tides/s2_5.5D.nc",
+                "GOT5.5/ocean_tides/sig1.nc"
+            ],
+            "type": "z",
+            "variable": "tide_ocean",
+            "version": "5.5",
+            "scale": 0.01,
+            "compressed": false,
+            "reference": "https://ntrs.nasa.gov/citations/19990089548"
         }
     }
 }

pyTMD/io/model.py

@@ -368,7 +368,7 @@ def formats() -> list:
         parameters = load_database()
         # extract all known formats
         format_list = []
-        for type, models in parameters.items():
+        for variable, models in parameters.items():
             for model, val in models.items():
                 format_list.append(val['format'])
         # return unique list of formats
@@ -872,23 +872,6 @@ def parse_file(
         else:
             return None
 
-    @staticmethod
-    def to_bool(val: str) -> bool:
-        """
-        Converts strings of True/False to a boolean values
-
-        Parameters
-        ----------
-        val: str
-            string for converting to True/False
-        """
-        if val.lower() in ('y', 'yes', 't', 'true', '1'):
-            return True
-        elif val.lower() in ('n', 'no', 'f', 'false', '0'):
-            return False
-        else:
-            raise ValueError(f'Invalid boolean string {val}')
-
     def __str__(self):
         """String representation of the ``io.model`` object
         """