def setUp(self):
self.db = setup_postgres_for_unittests(db, app)
# do the same thing for the redis db, set up the test redis database. We're using DB Number 8
self.r = tiredis.from_url("redis://localhost:6379", db=REDIS_UNITTEST_DATABASE_NUMBER)
self.r.flushdb()
now = datetime.datetime.utcnow()
self.before = now - datetime.timedelta(days=2)
self.last_week = now - datetime.timedelta(days=7)
self.last_year = now - datetime.timedelta(days=370)
# save basic item beforehand, and some additional items
self.fake_item_doc = {
"_id": "tiid1",
"type": "item",
"last_modified": now.isoformat(),
"last_update_run": now.isoformat(),
"aliases":{"doi":["10.7554/elife.1"]},
"biblio": {"year":"2012"},
"metrics": {}
}
self.fake_item_obj = item_module.create_objects_from_item_doc(self.fake_item_doc)
self.db.session.add(self.fake_item_obj)
another_elife = copy.copy(self.fake_item_doc)
another_elife["_id"] = "tiid2"
another_elife["aliases"] = {"doi":["10.7554/ELIFE.2"]}
another_elife["last_modified"] = self.before.isoformat()
another_elife["last_update_run"] = self.before.isoformat()
another_elife_obj = item_module.create_objects_from_item_doc(another_elife)
self.db.session.add(another_elife_obj)
different_journal = copy.copy(self.fake_item_doc)
different_journal["_id"] = "tiid3"
different_journal["aliases"] = {"doi":["10.3897/zookeys.3"], "biblio":[{"year":1999}]}
different_journal["last_modified"] = now.isoformat()
different_journal["last_update_run"] = self.last_week.isoformat()
different_journal_obj = item_module.create_objects_from_item_doc(different_journal)
self.db.session.add(different_journal_obj)
different_journal2 = copy.copy(different_journal)
different_journal2["_id"] = "tiid4"
different_journal2["last_update_run"] = self.last_year.isoformat()
different_journal_obj2 = item_module.create_objects_from_item_doc(different_journal2)
self.db.session.add(different_journal_obj2)
self.db.session.commit()
def setUp(self):
self.db = setup_postgres_for_unittests(db, app)
# do the same thing for the redis db, set up the test redis database. We're using DB Number 8
self.r = tiredis.from_url("redis://localhost:6379", db=8)
self.r.flushdb()
now = datetime.datetime.utcnow()
self.before = now - datetime.timedelta(days=2)
self.last_week = now - datetime.timedelta(days=7)
self.last_year = now - datetime.timedelta(days=370)
# save basic item beforehand, and some additional items
self.fake_item_doc = {
"_id": "tiid1",
"type": "item",
"last_modified": now.isoformat(),
"last_update_run": now.isoformat(),
"aliases":{"doi":["10.7554/elife.1"]},
"biblio": {"year":"2012"},
"metrics": {}
}
self.fake_item_obj = item_module.create_objects_from_item_doc(self.fake_item_doc)
self.db.session.add(self.fake_item_obj)
another_elife = copy.copy(self.fake_item_doc)
another_elife["_id"] = "tiid2"
another_elife["aliases"] = {"doi":["10.7554/ELIFE.2"]}
another_elife["last_modified"] = self.before.isoformat()
another_elife["last_update_run"] = self.before.isoformat()
another_elife_obj = item_module.create_objects_from_item_doc(another_elife)
self.db.session.add(another_elife_obj)
different_journal = copy.copy(self.fake_item_doc)
different_journal["_id"] = "tiid3"
different_journal["aliases"] = {"doi":["10.3897/zookeys.3"], "biblio":[{"year":1999}]}
different_journal["last_modified"] = now.isoformat()
different_journal["last_update_run"] = self.last_week.isoformat()
different_journal_obj = item_module.create_objects_from_item_doc(different_journal)
self.db.session.add(different_journal_obj)
different_journal2 = copy.copy(different_journal)
different_journal2["_id"] = "tiid4"
different_journal2["last_update_run"] = self.last_year.isoformat()
different_journal_obj2 = item_module.create_objects_from_item_doc(different_journal2)
self.db.session.add(different_journal_obj2)
self.db.session.commit()
def test_duplicates_list(self):
item_docs = [
{"_id": "a1", "last_modified": "now",
"aliases": {"doi":["doi.org/aaa"], "url":["111", "def.com"]}}
,{"_id": "b2", "last_modified": "now",
"aliases": {"doi":["doi.org/222"]}}
,{"_id": "c2", "last_modified": "now",
"aliases": {"doi":["doi.org/222"]}}
,{"_id": "d2", "last_modified": "now",
"aliases": {"doi":["doi.org/222"], "url":["foo"]}}
,{"_id": "e1", "last_modified": "now",
"aliases": {"url":["111"]}}
,{"_id": "f3", "last_modified": "now",
"aliases": {"doi":["333"], "url":["333"]}}
,{"_id": "g4", "last_modified": "now",
"aliases": {
"biblio": [{"title": "my paper", "authors": "smith"}]
}}
,{"_id": "h4", "last_modified": "now",
"aliases": {
"biblio": [{"title": "My paper", "authors": "Smith"}]
}}
]
item_objs = [item_module.create_objects_from_item_doc(item_doc) for item_doc in item_docs]
item_objs[-1].biblios[0].provider = "user_provided"
tiids = [item.tiid for item in item_objs]
response = item_module.build_duplicates_list(tiids)
print response
expected = [[{'tiid': u'a1', 'has_user_provided_biblio': False}, {'tiid': u'e1', 'has_user_provided_biblio': False}], [{'tiid': u'b2', 'has_user_provided_biblio': False}, {'tiid': u'c2', 'has_user_provided_biblio': False}, {'tiid': u'd2', 'has_user_provided_biblio': False}], [{'tiid': u'f3', 'has_user_provided_biblio': False}], [{'tiid': u'g4', 'has_user_provided_biblio': False}, {'tiid': u'h4', 'has_user_provided_biblio': True}]]
assert_equals(response, expected)
def test_run_aliases_in_queue(self):
test_couch_queue = backend.PythonQueue("test_couch_queue")
test_couch_queue_dict = {self.fake_item["_id"][0]:test_couch_queue}
provider_worker = backend.ProviderWorker(mocks.ProviderMock("myfakeprovider"),
None, None, None, test_couch_queue_dict, None, self.r)
response = provider_worker.add_to_couch_queue_if_nonzero(self.fake_item["_id"],
{"doi":["10.5061/dryad.3td2f"]},
"aliases",
"dummy")
# save basic item beforehand
item_obj = item_module.create_objects_from_item_doc(self.fake_item)
self.db.session.add(item_obj)
self.db.session.commit()
# run
couch_worker = backend.CouchWorker(test_couch_queue, self.r, self.d)
response = couch_worker.run()
expected = None
assert_equals(response, expected)
# check couch_queue has value after
response = item_module.get_item(self.fake_item["_id"])
print response
expected = {'pmid': ['111'], 'doi': ['10.5061/dryad.3td2f']}
assert_equals(response["aliases"], expected)
# check has updated last_modified time
now = datetime.datetime.utcnow().isoformat()
assert_equals(response["last_modified"][0:10], now[0:10])
def test_adds_genre(self):
self.TEST_OBJECT = item_module.create_objects_from_item_doc(self.ITEM_DATA)
self.db.session.add(self.TEST_OBJECT)
self.db.session.commit()
item = item_module.get_item("test", self.myrefsets, self.d)
assert_equals(item["biblio"]['genre'], "article")
def test_run_metrics_in_queue(self):
test_couch_queue = backend.PythonQueue("test_couch_queue")
test_couch_queue_dict = {self.fake_item["_id"][0]:test_couch_queue}
provider_worker = backend.ProviderWorker(mocks.ProviderMock("myfakeprovider"),
None, None, None, test_couch_queue_dict, None, self.r)
metrics_method_response = {'dryad:package_views': (361, 'http://dx.doi.org/10.5061/dryad.7898'),
'dryad:total_downloads': (176, 'http://dx.doi.org/10.5061/dryad.7898'),
'dryad:most_downloaded_file': (65, 'http://dx.doi.org/10.5061/dryad.7898')}
response = provider_worker.add_to_couch_queue_if_nonzero(self.fake_item["_id"],
metrics_method_response,
"metrics",
"dummy")
# save basic item beforehand
item_obj = item_module.create_objects_from_item_doc(self.fake_item)
self.db.session.add(item_obj)
self.db.session.commit()
# run
couch_worker = backend.CouchWorker(test_couch_queue, self.r, self.d)
couch_worker.run()
# check couch_queue has value after
response = item_module.get_item(self.fake_item["_id"])
print response
expected = 361
assert_equals(response["metrics"]['dryad:package_views']['values']["raw"], expected)
def test_run_metrics_in_queue(self):
test_couch_queue = backend.PythonQueue("test_couch_queue")
test_couch_queue_dict = {self.fake_item["_id"][0]: test_couch_queue}
provider_worker = backend.ProviderWorker(
mocks.ProviderMock("myfakeprovider"), None, None, None,
test_couch_queue_dict, None, self.r)
metrics_method_response = {
'dryad:package_views':
(361, 'http://dx.doi.org/10.5061/dryad.7898'),
'dryad:total_downloads':
(176, 'http://dx.doi.org/10.5061/dryad.7898'),
'dryad:most_downloaded_file':
(65, 'http://dx.doi.org/10.5061/dryad.7898')
}
response = provider_worker.add_to_couch_queue_if_nonzero(
self.fake_item["_id"], metrics_method_response, "metrics", "dummy")
# save basic item beforehand
item_obj = item_module.create_objects_from_item_doc(self.fake_item)
self.db.session.add(item_obj)
self.db.session.commit()
# run
couch_worker = backend.CouchWorker(test_couch_queue, self.r, self.d)
couch_worker.run()
# check couch_queue has value after
response = item_module.get_item(self.fake_item["_id"], {}, self.r)
print response
expected = 361
assert_equals(
response["metrics"]['dryad:package_views']['values']["raw"],
expected)
def test_run_aliases_in_queue(self):
test_couch_queue = backend.PythonQueue("test_couch_queue")
test_couch_queue_dict = {self.fake_item["_id"][0]: test_couch_queue}
provider_worker = backend.ProviderWorker(
mocks.ProviderMock("myfakeprovider"), None, None, None,
test_couch_queue_dict, None, self.r)
response = provider_worker.add_to_couch_queue_if_nonzero(
self.fake_item["_id"], {"doi": ["10.5061/dryad.3td2f"]}, "aliases",
"dummy")
# save basic item beforehand
item_obj = item_module.create_objects_from_item_doc(self.fake_item)
self.db.session.add(item_obj)
self.db.session.commit()
# run
couch_worker = backend.CouchWorker(test_couch_queue, self.r, self.d)
response = couch_worker.run()
expected = None
assert_equals(response, expected)
# check couch_queue has value after
response = item_module.get_item(self.fake_item["_id"], {}, self.r)
print response
expected = {'pmid': ['111'], 'doi': ['10.5061/dryad.3td2f']}
assert_equals(response["aliases"], expected)
# check has updated last_modified time
now = datetime.datetime.utcnow().isoformat()
assert_equals(response["last_modified"][0:10], now[0:10])
def test_adds_genre(self):
self.TEST_OBJECT = item_module.create_objects_from_item_doc(self.ITEM_DATA)
self.db.session.add(self.TEST_OBJECT)
self.db.session.commit()
item = item_module.get_item("test", self.myrefsets, self.r)
assert_equals(item["biblio"]['genre'], "article")
def item_action_on_a_page(page, skip_till_key="0000"):
items = [row.doc for row in page]
for item_doc in items:
if item_doc["_id"] > skip_till_key:
new_item_object = item_module.create_objects_from_item_doc(item_doc, skip_if_exists=True)
print "just finished", item_doc["_id"]
return
def item_action_on_a_page(page, skip_till_key="0000"):
items = [row.doc for row in page]
for item_doc in items:
if item_doc["_id"] > skip_till_key:
new_item_object = item_module.create_objects_from_item_doc(
item_doc, skip_if_exists=True)
print "just finished", item_doc["_id"]
return
def create_test_collection(self):
test_collection = {"_id": "testcollectionid",
"title": "mycollection",
"type":"collection",
"created": "2012-08-23T14:40:16.888800",
"last_modified": "2012-08-23T14:40:16.888800",
"alias_tiids": {
"pmid:16023720": "iaw9rzldigp4xc7p20bycnkg",
"pmid:16413797": "itsq6fgx8ogi9ixysbipmtxx"}}
test_object = collection.create_objects_from_collection_doc(test_collection)
db.session.add(test_object)
biblio1 = {
"journal": "The Astrophysical Journal",
"authors": "Kwok, Purton, Fitzgerald",
"year": "1978",
"title": "On the origin of planetary nebulae"
}
biblio2 = {
"journal": "The Astrophysical Journal 2",
"authors": "Kwok, Purton, Fitzgerald",
"year": "1900",
"title": "On the origin of planetary nebulae The Sequel"
}
metrics1 = {
"mendeley:readers": {
"provenance_url": "http://www.mendeley.com/research/origin-planetary-nebulae/",
"values": {
"raw_history": {
"2013-06-22T20:41:03.178277": 4,
"2013-01-15T22:21:55.253826": 3,
"2013-07-24T17:59:26.817504": 4,
"2013-07-24T18:04:41.035841": 9,
},
"raw": 9
}
},
"mendeley:discipline": {
"provenance_url": "http://www.mendeley.com/research/origin-planetary-nebulae/",
"values": {
"raw_history": {
"2013-06-22T23:03:15.852461": [
{
"name": "Astronomy / Astrophysics / Space Science",
"value": 100,
"id": 2
}
]
}
}
}
}
metrics2 = {
"topsy:tweets": {
"provenance_url": "http://topsydrilldown",
"values": {
"raw_history": {
"2013-11-22T20:41:03.178277": 22
},
"raw": 22
}
}
}
test_item_docs = [
{"_id": "iaw9rzldigp4xc7p20bycnkg", "type":"item", "created": "2012-08-23T14:40:16.888800", "last_modified": "2012-08-23T14:40:16.888800", "biblio":biblio1, "metrics":metrics1, "aliases":{"pmid": ["16023720"]}},
{"_id": "itsq6fgx8ogi9ixysbipmtxx", "type":"item", "created": "2012-08-23T14:40:16.888800", "last_modified": "2012-08-23T14:40:16.888800", "biblio":biblio2, "metrics":metrics2, "aliases":{"pmid": ["16413797"]}}
]
for item_doc in test_item_docs:
test_object = item_module.create_objects_from_item_doc(item_doc)
db.session.add(test_object)
db.session.commit()
def create_test_collection(self):
test_collection = {
"_id": "testcollectionid",
"title": "mycollection",
"type": "collection",
"created": "2012-08-23T14:40:16.888800",
"last_modified": "2012-08-23T14:40:16.888800",
"alias_tiids": {
"pmid:16023720": "iaw9rzldigp4xc7p20bycnkg",
"pmid:16413797": "itsq6fgx8ogi9ixysbipmtxx"
}
}
test_object = collection.create_objects_from_collection_doc(
test_collection)
db.session.add(test_object)
biblio1 = {
"journal": "The Astrophysical Journal",
"authors": "Kwok, Purton, Fitzgerald",
"year": "1978",
"title": "On the origin of planetary nebulae"
}
biblio2 = {
"journal": "The Astrophysical Journal 2",
"authors": "Kwok, Purton, Fitzgerald",
"year": "1900",
"title": "On the origin of planetary nebulae The Sequel"
}
metrics1 = {
"mendeley:readers": {
"provenance_url":
"http://www.mendeley.com/research/origin-planetary-nebulae/",
"values": {
"raw_history": {
"2013-06-22T20:41:03.178277": 4,
"2013-01-15T22:21:55.253826": 3,
"2013-07-24T17:59:26.817504": 4,
"2013-07-24T18:04:41.035841": 9,
},
"raw": 9
}
},
"mendeley:discipline": {
"provenance_url":
"http://www.mendeley.com/research/origin-planetary-nebulae/",
"values": {
"raw_history": {
"2013-06-22T23:03:15.852461": [{
"name": "Astronomy / Astrophysics / Space Science",
"value": 100,
"id": 2
}]
}
}
}
}
metrics2 = {
"topsy:tweets": {
"provenance_url": "http://topsydrilldown",
"values": {
"raw_history": {
"2013-11-22T20:41:03.178277": 22
},
"raw": 22
}
}
}
test_item_docs = [{
"_id": "iaw9rzldigp4xc7p20bycnkg",
"type": "item",
"created": "2012-08-23T14:40:16.888800",
"last_modified": "2012-08-23T14:40:16.888800",
"biblio": biblio1,
"metrics": metrics1,
"aliases": {
"pmid": ["16023720"]
}
}, {
"_id": "itsq6fgx8ogi9ixysbipmtxx",
"type": "item",
"created": "2012-08-23T14:40:16.888800",
"last_modified": "2012-08-23T14:40:16.888800",
"biblio": biblio2,
"metrics": metrics2,
"aliases": {
"pmid": ["16413797"]
}
}]
for item_doc in test_item_docs:
test_object = item_module.create_objects_from_item_doc(item_doc)
db.session.add(test_object)
db.session.commit()
def save_test_item(self):
self.TEST_OBJECT = item_module.create_objects_from_item_doc(self.ITEM_DATA)
self.db.session.add(self.TEST_OBJECT)
self.db.session.commit()
def test_as_old_doc(self):
test_object = item_module.create_objects_from_item_doc(self.ITEM_DATA)
new_doc = test_object.as_old_doc()
print json.dumps(new_doc, sort_keys=True, indent=4)
print json.dumps(self.ITEM_DATA, sort_keys=True, indent=4)
assert_equals(new_doc, self.ITEM_DATA)
def setUp(self):
"""
This test item is a lightly-modified version of a real doc from our
demo collection; it's available at http://total-impact-core.herokuapp.com/collection/kn5auf
"""
test_item = '''
{
"_id": "1aff9dfebea711e1bdf912313d1a5e63",
"_rev": "968-c7891982fca2ea41346a20b80c2b888d",
"aliases": {
"doi": [
"10.5061/dryad.j1fd7"
],
"title": [
"Data from: Data archiving is a good use of research funds",
"data from: data archiving is a good investment"
],
"url": [
"http://datadryad.org/handle/10255/dryad.33537",
"http://hdl.handle.net/10255/dryad.33537"
]
},
"biblio": {
"authors": "Piwowar, Vision, Whitlock, Piwowar, Vision, Whitlock, Piwowar, Vision, Whitlock",
"genre": "dataset",
"h1": "Data from: Data archiving is a good investment",
"repository": "Dryad Digital Repository",
"title": "Data from: Data archiving is a good investment",
"year": "2011"
},
"created": "2012-06-25T09:21:11.960271",
"currently_updating": false,
"last_modified": "2012-11-18T04:57:40.539053",
"metrics": {
"delicious:bookmarks": {
"provenance_url": "http://www.delicious.com/url/4794ddb7a3e934ba23165af65fcfa9cd",
"static_meta": {
"description": "The number of bookmarks to this artifact (maximum=100).",
"display_name": "bookmarks",
"icon": "http://www.delicious.com/favicon.ico",
"provider": "Delicious",
"provider_url": "http://www.delicious.com/"
},
"values": {
"raw": 1,
"raw_history": {
"2012-06-23T09:21:16.027149": 1
}
}
},
"dryad:total_downloads": {
"provenance_url": "http://dx.doi.org/10.5061/dryad.j1fd7",
"static_meta": {
"description": "Dryad total downloads: combined number of downloads of the data package and data files",
"display_name": "total downloads",
"icon": "http:\\/\\/datadryad.org\\/favicon.ico",
"provider": "Dryad",
"provider_url": "http:\\/\\/www.datadryad.org\\/"
},
"values": {
"dryad": {
"CI95_lower": 91,
"CI95_upper": 98,
"estimate_lower": 96,
"estimate_upper": 96
},
"raw": 207,
"raw_history": {
"2012-06-25T09:21:16.027149": 132,
"2012-06-26T18:05:19.598432": 132,
"2012-06-26T20:10:16.858294": 132
}
}
}
},
"type": "item"
}
'''
self.test_api_user_meta = {
'max_registered_items': 3,
'planned_use': 'individual CV',
'email': "*****@*****.**",
'notes': '',
'api_key_owner': 'Julia Smith',
"example_url": "",
"organization": "NASA",
"prefix": "NASA",
}
self.db = setup_postgres_for_unittests(db, app)
item = item_module.create_objects_from_item_doc(json.loads(test_item))
self.db.session.add(item)
self.existing_api_user = api_user.ApiUser(**self.test_api_user_meta)
self.existing_api_user.api_key = "validkey" #override randomly assigned key
self.db.session.add(self.existing_api_user)
self.db.session.commit()
# do the same thing for the redis db. We're using DB 8 for unittests.
self.r = tiredis.from_url("redis://localhost:6379", db=8)
self.r.flushdb()
#setup api test client
self.app = app
self.app.testing = True
self.client = self.app.test_client()
# Mock out relevant methods of the Dryad provider
self.orig_Dryad_member_items = Dryad.member_items
Dryad.member_items = MOCK_member_items
self.aliases = [["doi", "10.123"], ["doi", "10.124"],
["doi", "10.125"]]
def setUp(self):
"""
This test item is a lightly-modified version of a real doc from our
demo collection; it's available at http://total-impact-core.herokuapp.com/collection/kn5auf
"""
test_item = '''
{
"_id": "1aff9dfebea711e1bdf912313d1a5e63",
"_rev": "968-c7891982fca2ea41346a20b80c2b888d",
"aliases": {
"doi": [
"10.5061/dryad.j1fd7"
],
"title": [
"Data from: Data archiving is a good use of research funds",
"data from: data archiving is a good investment"
],
"url": [
"http://datadryad.org/handle/10255/dryad.33537",
"http://hdl.handle.net/10255/dryad.33537"
]
},
"biblio": {
"authors": "Piwowar, Vision, Whitlock, Piwowar, Vision, Whitlock, Piwowar, Vision, Whitlock",
"genre": "dataset",
"h1": "Data from: Data archiving is a good investment",
"repository": "Dryad Digital Repository",
"title": "Data from: Data archiving is a good investment",
"year": "2011"
},
"created": "2012-06-25T09:21:11.960271",
"currently_updating": false,
"last_modified": "2012-11-18T04:57:40.539053",
"metrics": {
"delicious:bookmarks": {
"provenance_url": "http://www.delicious.com/url/4794ddb7a3e934ba23165af65fcfa9cd",
"static_meta": {
"description": "The number of bookmarks to this artifact (maximum=100).",
"display_name": "bookmarks",
"icon": "http://www.delicious.com/favicon.ico",
"provider": "Delicious",
"provider_url": "http://www.delicious.com/"
},
"values": {
"raw": 1,
"raw_history": {
"2012-06-23T09:21:16.027149": 1
}
}
},
"dryad:total_downloads": {
"provenance_url": "http://dx.doi.org/10.5061/dryad.j1fd7",
"static_meta": {
"description": "Dryad total downloads: combined number of downloads of the data package and data files",
"display_name": "total downloads",
"icon": "http:\\/\\/datadryad.org\\/favicon.ico",
"provider": "Dryad",
"provider_url": "http:\\/\\/www.datadryad.org\\/"
},
"values": {
"dryad": {
"CI95_lower": 91,
"CI95_upper": 98,
"estimate_lower": 96,
"estimate_upper": 96
},
"raw": 207,
"raw_history": {
"2012-06-25T09:21:16.027149": 132,
"2012-06-26T18:05:19.598432": 132,
"2012-06-26T20:10:16.858294": 132
}
}
}
},
"type": "item"
}
'''
self.test_api_user_meta = {
'max_registered_items': 3,
'planned_use': 'individual CV',
'email': "*****@*****.**",
'notes': '',
'api_key_owner': 'Julia Smith',
"example_url": "",
"organization": "NASA",
"prefix": "NASA",
}
self.db = setup_postgres_for_unittests(db, app)
item = item_module.create_objects_from_item_doc(json.loads(test_item))
self.db.session.add(item)
self.existing_api_user = api_user.ApiUser(**self.test_api_user_meta)
self.existing_api_user.api_key = "validkey" #override randomly assigned key
self.db.session.add(self.existing_api_user)
self.db.session.commit()
# do the same thing for the redis db. We're using DB 8 for unittests.
self.r = tiredis.from_url("redis://localhost:6379", db=8)
self.r.flushdb()
#setup api test client
self.app = app
self.app.testing = True
self.client = self.app.test_client()
# Mock out relevant methods of the Dryad provider
self.orig_Dryad_member_items = Dryad.member_items
Dryad.member_items = MOCK_member_items
self.aliases = [
["doi", "10.123"],
["doi", "10.124"],
["doi", "10.125"]
]
def save_test_item(self):
self.TEST_OBJECT = item_module.create_objects_from_item_doc(self.ITEM_DATA)
self.db.session.add(self.TEST_OBJECT)
self.db.session.commit()
def test_as_old_doc(self):
test_object = item_module.create_objects_from_item_doc(self.ITEM_DATA)
new_doc = test_object.as_old_doc()
print json.dumps(new_doc, sort_keys=True, indent=4)
print json.dumps(self.ITEM_DATA, sort_keys=True, indent=4)
assert_equals(new_doc, self.ITEM_DATA)
