add real world s3 dataset test

tests/test_real_s3.py

@@ -0,0 +1,42 @@
+import os
+import numpy as np
+
+from activestorage.active import Active
+from activestorage.active import load_from_s3
+
+S3_BUCKET = "bnl"
+
+
+def test_s3_dataset():
+    """Run somewhat as the 'gold' test."""
+    storage_options = {
+        'key': "f2d55c6dcfc7618b2c34e00b58df3cef",
+        'secret': "$/'#M{0{/4rVhp%n^(XeX$q@y#&(NM3W1->~N.Q6VP.5[@bLpi='nt]AfH)>78pT",
+        'client_kwargs': {'endpoint_url': "https://uor-aces-o.s3-ext.jc.rl.ac.uk"},  # old proxy
+        # 'client_kwargs': {'endpoint_url': "https://uor-aces-o.ext.proxy.jc.rl.ac.uk"},  # new proxy
+    }
+    active_storage_url = "https://192.171.169.113:8080"
+    # bigger_file = "ch330a.pc19790301-bnl.nc"  # 18GB 3400 HDF5 chunks
+    bigger_file = "ch330a.pc19790301-def.nc"  # 17GB 64 HDF5 chunks
+    # bigger_file = "da193a_25_day__198808-198808.nc"  # 3GB 30 HDF5 chunks
+
+    test_file_uri = os.path.join(
+        S3_BUCKET,
+        bigger_file
+    )
+    print("S3 Test file path:", test_file_uri)
+    dataset = load_from_s3(test_file_uri, storage_options=storage_options)
+    av = dataset['UM_m01s16i202_vn1106']
+
+    # big file bnl: 18GB/3400 HDF5 chunks; def: 17GB/64 HDF5 chunks
+    active = Active(av, storage_type="s3",
+                    storage_options=storage_options,
+                    active_storage_url=active_storage_url)
+    active._version = 2
+    active._method = "min"
+
+    # result = active[:]
+    result = active[0:3, 4:6, 7:9]  # standardized slice
+
+    print("Result is", result)
+    assert result == 5098.625