#!/usr/bin/env python
from couchbase.admin import Admin
from couchbase.bucket import Bucket
adm = Admin('Administrator', '123456', host='localhost', port=8091)
adm.bucket_create('new-bucket',
bucket_type='couchbase',
bucket_password='******')
# Wait for bucket to become ready
adm.wait_ready('new-bucket', timeout=30)
bucket = Bucket('couchbase://localhost/new-bucket', password='******')
bucket.upsert('foo', 'bar')
adm.bucket_remove('new-bucket')
from couchbase.cluster import Cluster
from couchbase.bucket import Bucket
from couchbase.exceptions import CouchbaseTransientError, HTTPError, KeyExistsError, NotFoundError
import couchbase.subdocument as SD
from couchbase.n1ql import N1QLQuery
# Delete any pre-existing buckets. Create new.
cb_adm = Admin(testenv['couchdb_username'],
testenv['couchdb_password'],
host=testenv['couchdb_host'],
port=8091)
# Make sure a test bucket exists
try:
cb_adm.bucket_create('travel-sample')
cb_adm.wait_ready('travel-sample', timeout=30)
except HTTPError:
pass
@pytest.mark.skipif("COUCHBASE_TEST" not in os.environ, reason="")
class TestStandardCouchDB(unittest.TestCase):
def setup_class(self):
""" Clear all spans before a test run """
self.recorder = tracer.recorder
self.cluster = Cluster('couchbase://%s' % testenv['couchdb_host'])
self.bucket = Bucket('couchbase://%s/travel-sample' %
testenv['couchdb_host'],
username=testenv['couchdb_username'],
password=testenv['couchdb_password'])
# The terraform script will out put the IP address
ip_f = open('terraform/ip_address.txt')
ip = str(ip_f.read()).strip('\n')
print('Connecting to Couchbase instance at %s' % (ip))
adm = Admin('Administrator', 'password', host=ip, port=8091)
try:
adm.bucket_create('commerce')
except HTTPError as err:
v = err.__dict__['all_results'][None]
if 'already exists' in v.value['errors']['name']:
print('Bucket already exists, not creating.')
adm.wait_ready('commerce', timeout=10)
# connect w/ SDK
cluster = Cluster('couchbase://' + ip)
auth = PasswordAuthenticator('Administrator', 'password')
cluster.authenticate(auth)
cb = cluster.open_bucket('commerce')
# create anlytics indexes
queries = [
'CREATE DATASET ships ON `commerce` WHERE `type` = "ship"',
'CREATE DATASET voyages ON `commerce` WHERE `type` = "voyage"',
'CREATE DATASET customers ON `commerce` WHERE `type` = "customer"',
'CREATE DATASET reservations ON `commerce` WHERE `type` = "reservation"',
'CREATE DATASET credits ON `commerce` WHERE `type` = "credit"',
'CONNECT LINK Local'