start reading tar file as input

src/pyaro_readers/aeronetsdareader/AeronetSdaTimeseriesReader.py

@@ -10,6 +10,7 @@
 )
 import numpy as np
 import requests
+import tarfile
 from pyaro.timeseries import (
     AutoFilterReaderEngine,
     Data,
@@ -101,6 +102,29 @@ def __init__(
                     # read only 1st file here
                     break
             except BadZipFile:
+                # try reading as tar.gz file
+                # Aeronet's tar files differ from the zip files by providing one file per station instead of one file
+                # with all stations
+                # the general format of the data is the same though.
+                # so we just keep the header lines of the 1st station, and add all data lines of all stations
+                # That way we get to the same file format as the zip file
+                r = requests.get(self._filename)
+                with tarfile.open(fileobj=BytesIO(r.raw.read()), mode="r") as tf:
+                    lines = []
+                    for _midx, member in enumerate(tf.getmembers()):
+                        f = tf.extractfile(member)
+                        if _midx == 0:
+                            lines.extend(
+                                [line.decode("utf-8") for line in f.readlines()]
+                            )
+                        else:
+                            # skip the header lines
+                            for _hidx in range(HEADER_LINE_NO):
+                                dummy = f.readline()
+
+                        lines.extend([line.decode("utf-8") for line in f.readlines()])
+            except tarfile.TarError:
+                # read as text file
                 response = urlopen(self._filename)
                 lines = [line.decode("utf-8") for line in response.readlines()]
 

tests/test_AERONETSDATimeSeriesReader.py

@@ -7,6 +7,9 @@
 from pyaro.timeseries.Wrappers import VariableNameChangingReader
 
 TEST_URL = "https://pyaerocom.met.no/pyaro-suppl/testdata/aeronetsda_testdata.csv"
+TEST_TAR_URL = (
+    "https://pyaerocom.met.no/pyaro-suppl/testdata/SDA_Level20_Daily_V3_testdata.tar.gz"
+)
 TEST_ZIP_URL = (
     "https://pyaerocom.met.no/pyaro-suppl/testdata/aeronetsda_testdata.csv.zip"
 )
@@ -29,6 +32,22 @@ def external_resource_available(self, url):
         except:
             return False
 
+    def test_dl_data_tared(self):
+        if not self.external_resource_available(TEST_TAR_URL):
+            self.skipTest(f"external resource not available: {TEST_TAR_URL}")
+        engine = pyaro.list_timeseries_engines()["aeronetsdareader"]
+        with engine.open(
+            TEST_TAR_URL,
+            filters=[],
+            fill_country_flag=False,
+            tqdm_desc="test_sda_dl_data_tared",
+        ) as ts:
+            count = 0
+            for var in ts.variables():
+                count += len(ts.data(var))
+            self.assertEqual(count, 79944)
+            self.assertEqual(len(ts.stations()), 4)
+
     def test_dl_data_unzipped(self):
         if not self.external_resource_available(TEST_URL):
             self.skipTest(f"external resource not available: {TEST_URL}")
@@ -121,7 +140,7 @@ def test_variables_filter(self):
         engine = pyaro.list_timeseries_engines()["aeronetsdareader"]
         new_var_name = "od550gt1aer"
         vfilter = pyaro.timeseries.filters.get(
-            "variables", reader_to_new={"Coarse_Mode_AOD_500nm[tau_c]": new_var_name}
+            "variables", reader_to_new={"AODGT1_550nm": new_var_name}
         )
         with engine.open(
             self.file, filters=[vfilter], tqdm_desc="test_sda_variables_filter"