Issue15 simplify

.github/workflows/pytest.yml

@@ -10,7 +10,7 @@ jobs:
   pyTestCov:
     strategy:
       matrix:
-        python-version: [3.7, 3.8, 3.9, '3.10', '3.11']
+        python-version: [3.8, 3.9, '3.10', '3.11']
     runs-on: ubuntu-latest
     steps:
       - name: Python Setup
@@ -24,13 +24,12 @@ jobs:
         run: |
           sudo apt-add-repository ppa:ubuntugis/ubuntugis-unstable
           sudo apt-get update
-          sudo apt-get install gdal-bin libgdal-dev
           pip install --upgrade pip
           pip install -r requirements.txt
           pip install pytest-timeout
           pip install pytest-cov
           pip install pytest-mock
       - name: Run Tests
-        run: python -m pytest -v -m unittests --cov=sarwind --timeout=120
+        run: python -m pytest -v --cov=sarwind --timeout=120
       - name: Upload to Codecov
         uses: codecov/codecov-action@v3

nansat.yml

@@ -130,7 +130,6 @@ dependencies:
   - parallel=20211022=ha770c72_0
   - paramiko=2.8.0=pyhd8ed1ab_0
   - parmap=1.5.3=pyhd8ed1ab_0
-  - parso=0.8.2=pyhd8ed1ab_0
   - partd=1.2.0=pyhd8ed1ab_0
   - pathspec=0.10.3=pyhd8ed1ab_0
   - pcre=8.45=h9c3ff4c_0
@@ -272,3 +271,8 @@ dependencies:
   - zipp=3.6.0=pyhd8ed1ab_0
   - zlib=1.2.11=h36c2ea0_1013
   - zstd=1.4.9=ha95c52a_0
+  - pip:
+    - xdg
+    - pytest
+    - pytest-cov
+    - ipdb

nansat_mappers/mapper_sarwind.py

@@ -0,0 +1,88 @@
+import netCDF4
+
+import numpy as np
+
+from nansat.exceptions import WrongMapperError
+from nansat.vrt import VRT
+
+
+class Mapper(VRT):
+
+    def __init__(self, filename, gdal_dataset, metadata, *args, **kwargs):
+
+        try:
+            ds = netCDF4.Dataset(filename)
+        except OSError:
+            raise WrongMapperError
+        if "title" not in ds.ncattrs():
+            raise WrongMapperError
+        else:
+            if "urface wind" not in ds.title or "NRCS" not in ds.title:
+                raise WrongMapperError
+        longitude = ds['longitude'][:].data
+        latitude = ds['latitude'][:].data
+        for attr in ds.ncattrs():
+            content = ds.getncattr(attr)
+            metadata[attr] = content
+        super(Mapper, self)._init_from_lonlat(longitude, latitude)
+
+        # Get rid of GDAL additions to metadata keys
+        metadata = VRT._remove_strings_in_metadata_keys(metadata, ['NC_GLOBAL#', 'GDAL_'])
+        self.dataset.SetMetadata(metadata)
+        self.band_vrts = {
+            "wind_direction": VRT.from_array(ds["wind_direction"][:].filled(fill_value=np.nan)),
+            "look_relative_wind_direction": VRT.from_array(
+                ds["look_relative_wind_direction"][:].filled(fill_value=np.nan)),
+            "windspeed": VRT.from_array(ds["windspeed"][:].filled(fill_value=np.nan)),
+            "model_windspeed": VRT.from_array(ds["model_windspeed"][:].filled(fill_value=np.nan)),
+        }
+
+        metaDict = []
+
+        wdir_metadict = {}
+        for attr in ds["wind_direction"].ncattrs():
+            wdir_metadict[attr] = ds["wind_direction"].getncattr(attr)
+        metaDict.append({
+            'src': {
+                'SourceFilename': self.band_vrts["wind_direction"].filename,
+                'SourceBand': 1
+            },
+            'dst': wdir_metadict,
+        })
+
+        lookrel_metadict = {}
+        for attr in ds["look_relative_wind_direction"].ncattrs():
+            lookrel_metadict[attr] = ds["look_relative_wind_direction"].getncattr(attr)
+        metaDict.append({
+            'src': {
+                'SourceFilename': self.band_vrts["look_relative_wind_direction"].filename,
+                'SourceBand': 1
+            },
+            'dst': lookrel_metadict,
+        })
+
+        wspeed_metadict = {}
+        for attr in ds["windspeed"].ncattrs():
+            wspeed_metadict[attr] = ds["windspeed"].getncattr(attr)
+        metaDict.append({
+            'src': {
+                'SourceFilename': self.band_vrts["windspeed"].filename,
+                'SourceBand': 1
+            },
+            'dst': wspeed_metadict,
+        })
+
+        mwspeed_metadict = {}
+        for attr in ds["model_windspeed"].ncattrs():
+            mwspeed_metadict[attr] = ds["model_windspeed"].getncattr(attr)
+        metaDict.append({
+            'src': {
+                'SourceFilename': self.band_vrts["model_windspeed"].filename,
+                'SourceBand': 1
+            },
+            'dst': mwspeed_metadict,
+        })
+
+        self.create_bands(metaDict)
+
+        self.fix_global_metadata