Standardize pvgis_hourly to return (data,meta)

docs/sphinx/source/whatsnew/v0.12.1.rst

@@ -6,7 +6,10 @@ v0.12.1 (XXXX, 2025)
 
 Breaking Changes
 ~~~~~~~~~~~~~~~~
-
+* The functions :py:func:`~pvlib.iotools.read_pvgis_hourly` and
+  :py:func:`~pvlib.iotools.get_pvgis_hourly` now returns  ``(data,meta)``
+  instead of ``(data,inputs,meta)`` following the iotools convention.
+  (:pull:`2462`)
 
 Deprecations
 ~~~~~~~~~~~~

pvlib/iotools/pvgis.py

@@ -130,8 +130,6 @@ def get_pvgis_hourly(latitude, longitude, start=None, end=None,
     -------
     data : pandas.DataFrame
         Time-series of hourly data, see Notes for fields
-    inputs : dict
-        Dictionary of the request input parameters
     metadata : dict
         Dictionary containing metadata
 
@@ -189,7 +187,7 @@ def get_pvgis_hourly(latitude, longitude, start=None, end=None,
     Examples
     --------
     >>> # Retrieve two years of irradiance data from PVGIS:
-    >>> data, meta, inputs = pvlib.iotools.get_pvgis_hourly(  # doctest: +SKIP
+    >>> data, meta = pvlib.iotools.get_pvgis_hourly(  # doctest: +SKIP
     >>>    latitude=45, longitude=8, start=2015, end=2016)  # doctest: +SKIP
 
     References
@@ -241,28 +239,33 @@ def get_pvgis_hourly(latitude, longitude, start=None, end=None,
 
 
 def _parse_pvgis_hourly_json(src, map_variables):
-    inputs = src['inputs']
-    metadata = src['meta']
+    metadata = src['meta'].copy()
+    # Ovrride the "inputs" in metadata
+    metadata['inputs'] = src['inputs']
+    # Re-add the inputs in metadata one-layer down
+    metadata['inputs']['descriptions'] = src['meta']['inputs']
     data = pd.DataFrame(src['outputs']['hourly'])
     data.index = pd.to_datetime(data['time'], format='%Y%m%d:%H%M', utc=True)
     data = data.drop('time', axis=1)
     data = data.astype(dtype={'Int': 'int'})  # The 'Int' column to be integer
     if map_variables:
         data = data.rename(columns=VARIABLE_MAP)
-    return data, inputs, metadata
+    return data, metadata
 
 
 def _parse_pvgis_hourly_csv(src, map_variables):
     # The first 4 rows are latitude, longitude, elevation, radiation database
-    inputs = {}
+    metadata = {'inputs': {}}
+    # 'location' metadata
     # 'Latitude (decimal degrees): 45.000\r\n'
-    inputs['latitude'] = float(src.readline().split(':')[1])
+    metadata['inputs']['latitude'] = float(src.readline().split(':')[1])
     # 'Longitude (decimal degrees): 8.000\r\n'
-    inputs['longitude'] = float(src.readline().split(':')[1])
+    metadata['inputs']['longitude'] = float(src.readline().split(':')[1])
     # Elevation (m): 1389.0\r\n
-    inputs['elevation'] = float(src.readline().split(':')[1])
+    metadata['inputs']['elevation'] = float(src.readline().split(':')[1])
     # 'Radiation database: \tPVGIS-SARAH\r\n'
-    inputs['radiation_database'] = src.readline().split(':')[1].strip()
+    metadata['inputs']['radiation_database'] = \
+        src.readline().split(':')[1].strip()
     # Parse through the remaining metadata section (the number of lines for
     # this section depends on the requested parameters)
     while True:
@@ -273,7 +276,7 @@ def _parse_pvgis_hourly_csv(src, map_variables):
             break
         # Only retrieve metadata from non-empty lines
         elif line.strip() != '':
-            inputs[line.split(':')[0]] = line.split(':')[1].strip()
+            metadata['inputs'][line.split(':')[0]] = line.split(':')[1].strip()
         elif line == '':  # If end of file is reached
             raise ValueError('No data section was detected. File has probably '
                              'been modified since being downloaded from PVGIS')
@@ -295,11 +298,12 @@ def _parse_pvgis_hourly_csv(src, map_variables):
     # integer. It is necessary to convert to float, before converting to int
     data = data.astype(float).astype(dtype={'Int': 'int'})
     # Generate metadata dictionary containing description of parameters
-    metadata = {}
+    metadata['descriptions'] = {}
     for line in src.readlines():
         if ':' in line:
-            metadata[line.split(':')[0]] = line.split(':')[1].strip()
-    return data, inputs, metadata
+            metadata['descriptions'][line.split(':')[0]] = \
+                line.split(':')[1].strip()
+    return data, metadata
 
 
 def read_pvgis_hourly(filename, pvgis_format=None, map_variables=True):
@@ -323,8 +327,6 @@ def read_pvgis_hourly(filename, pvgis_format=None, map_variables=True):
     -------
     data : pandas.DataFrame
         the time series data
-    inputs : dict
-        the inputs
     metadata : dict
         metadata
 

tests/iotools/test_pvgis.py

@@ -132,6 +132,15 @@
                     'WS10m': {'description': '10-m total wind speed', 'units': 'm/s'},  # noqa: E501
                     'Int': {'description': '1 means solar radiation values are reconstructed'}}}}}  # noqa: E501
 
+descriptions_csv = metadata_radiation_csv.copy()
+metadata_radiation_csv = {}
+metadata_radiation_csv['descriptions'] = descriptions_csv
+metadata_radiation_csv['inputs'] = inputs_radiation_csv
+
+descriptions_json = metadata_pv_json['inputs']
+metadata_pv_json['inputs'] = inputs_pv_json
+metadata_pv_json['inputs']['descriptions'] = descriptions_json
+
 
 def generate_expected_dataframe(values, columns, index):
     """Create dataframe from arrays of values, columns and index, in order to
@@ -175,25 +184,24 @@ def expected_pv_json_mapped():
 # Test read_pvgis_hourly function using two different files with different
 # input arguments (to test variable mapping and pvgis_format)
 # pytest request.getfixturevalue is used to simplify the input arguments
-@pytest.mark.parametrize('testfile,expected_name,metadata_exp,inputs_exp,map_variables,pvgis_format', [  # noqa: E501
+@pytest.mark.parametrize('testfile,expected_name,metadata_exp,map_variables,pvgis_format', [  # noqa: E501
     (testfile_radiation_csv, 'expected_radiation_csv', metadata_radiation_csv,
-     inputs_radiation_csv, False, None),
+     False, None),
     (testfile_radiation_csv, 'expected_radiation_csv_mapped',
-     metadata_radiation_csv, inputs_radiation_csv, True, 'csv'),
-    (testfile_pv_json, 'expected_pv_json', metadata_pv_json, inputs_pv_json,
+     metadata_radiation_csv, True, 'csv'),
+    (testfile_pv_json, 'expected_pv_json', metadata_pv_json,
      False, None),
     (testfile_pv_json, 'expected_pv_json_mapped', metadata_pv_json,
-     inputs_pv_json, True, 'json')])
+     True, 'json')])
 def test_read_pvgis_hourly(testfile, expected_name, metadata_exp,
-                           inputs_exp, map_variables, pvgis_format, request):
+                           map_variables, pvgis_format, request):
     # Get expected dataframe from fixture
     expected = request.getfixturevalue(expected_name)
     # Read data from file
-    out, inputs, metadata = read_pvgis_hourly(
+    out, metadata = read_pvgis_hourly(
         testfile, map_variables=map_variables, pvgis_format=pvgis_format)
     # Assert whether dataframe, metadata, and inputs are as expected
     assert_frame_equal(out, expected)
-    assert inputs == inputs_exp
     assert metadata == metadata_exp
 
 
@@ -248,7 +256,7 @@ def test_get_pvgis_hourly(requests_mock, testfile, expected_name, args,
     # inputs are passing on correctly
     requests_mock.get(url_test, text=mock_response)
     # Make API call - an error is raised if requested URI does not match
-    out, inputs, metadata = get_pvgis_hourly(
+    out, metadata = get_pvgis_hourly(
         latitude=45, longitude=8, map_variables=map_variables, **args)
     # Get expected dataframe from fixture
     expected = request.getfixturevalue(expected_name)