-
Notifications
You must be signed in to change notification settings - Fork 81
/
test_onprem_open.py
148 lines (128 loc) · 5 KB
/
test_onprem_open.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
# package imports
import logging
import os
import random
import unittest
import earthaccess
import magic
import pytest
from earthaccess import Auth, DataCollections, DataGranules, Store
logger = logging.getLogger(__name__)
daacs_list = [
{
"short_name": "NSIDC",
"collections_count": 50,
"collections_sample_size": 3,
"granules_count": 100,
"granules_sample_size": 2,
"granules_max_size_mb": 100,
},
{
"short_name": "LPDAAC",
"collections_count": 100,
"collections_sample_size": 2,
"granules_count": 100,
"granules_sample_size": 2,
"granules_max_size_mb": 100,
},
{
"short_name": "GES_DISC",
"collections_count": 100,
"collections_sample_size": 2,
"granules_count": 100,
"granules_sample_size": 2,
"granules_max_size_mb": 130,
},
{
"short_name": "ORNLDAAC",
"collections_count": 100,
"collections_sample_size": 2,
"granules_count": 100,
"granules_sample_size": 2,
"granules_max_size_mb": 50,
},
]
assertions = unittest.TestCase("__init__")
# we need to use a valid EDL credential
assertions.assertTrue("EARTHDATA_USERNAME" in os.environ)
assertions.assertTrue("EARTHDATA_PASSWORD" in os.environ)
auth = Auth().login(strategy="environment")
assertions.assertTrue(auth.authenticated)
logger.info(f"Current username: {os.environ['EARTHDATA_USERNAME']}")
logger.info(f"earthaccess version: {earthaccess.__version__}")
store = Store(auth)
def get_sample_granules(granules, sample_size, max_granule_size):
"""Returns a list with sample granules and their size in MB if
the total size is less than the max_granule_size.
"""
files_to_download = []
total_size = 0
max_tries = sample_size * 2
tries = 0
while tries <= max_tries:
g = random.sample(granules, 1)[0]
if g.size() > max_granule_size:
# print(f"G: {g['meta']['concept-id']} exceded max size: {g.size()}")
tries += 1
continue
else:
# print(f"Adding : {g['meta']['concept-id']} size: {g.size()}")
files_to_download.append(g)
total_size += g.size()
if len(files_to_download) >= sample_size:
break
return files_to_download, round(total_size, 2)
def supported_collection(data_links):
for url in data_links:
if "podaac-tools.jpl.nasa.gov/drive" in url:
return False
return True
@pytest.mark.parametrize("daac", daacs_list)
def test_earthaccess_can_open_onprem_collection_granules(daac):
"""Tests that we can download cloud collections using HTTPS links."""
daac_shortname = daac["short_name"]
collections_count = daac["collections_count"]
collections_sample_size = daac["collections_sample_size"]
granules_count = daac["granules_count"]
granules_sample_size = daac["granules_sample_size"]
granules_max_size = daac["granules_max_size_mb"]
collection_query = DataCollections().data_center(daac_shortname).cloud_hosted(False)
hits = collection_query.hits()
logger.info(f"Cloud hosted collections for {daac_shortname}: {hits}")
collections = collection_query.get(collections_count)
assertions.assertGreater(len(collections), collections_sample_size)
# We sample n cloud hosted collections from the results
random_collections = random.sample(collections, collections_sample_size)
logger.info(f"Sampled {len(random_collections)} collections")
for collection in random_collections:
concept_id = collection.concept_id()
granule_query = DataGranules().concept_id(concept_id)
total_granules = granule_query.hits()
granules = granule_query.get(granules_count)
assertions.assertTrue(len(granules) > 0, "Could not fetch granules")
assertions.assertTrue(isinstance(granules[0], earthaccess.results.DataGranule))
data_links = granules[0].data_links()
if not supported_collection(data_links):
logger.warning(f"PODAAC DRIVE is not supported at the moment: {data_links}")
continue
granules_to_open, total_size_cmr = get_sample_granules(
granules, granules_sample_size, granules_max_size
)
if len(granules_to_open) == 0:
logger.debug(
f"Skipping {concept_id}, granule size exceeds configured max size"
)
continue
logger.info(
f"Testing {concept_id}, granules in collection: {total_granules}, "
f"download size(MB): {total_size_cmr}"
)
# We are testing this method
fileset = store.open(granules_to_open)
assertions.assertTrue(isinstance(fileset, list))
# we test that we can read some bytes and get the file type
for file in fileset:
if not isinstance(file, Exception):
logger.info(f"File type: {magic.from_buffer(file.read(2048))}")
else:
logger.warning(f"File could not be open: {file}")