def check_and_run():
backend = impl_sqlalchemy.SQLAlchemyBackend(CONF)
if sql_exec.flowdetails is None:
return
if sql_exec.flowdetails[5] != u'SUCCESS':
book_id = sql_exec.flowdetails[2]
flow_id = sql_exec.flowdetails[6]
else:
return
flow_detail = None
if all([book_id, flow_id]):
try:
with contextlib.closing(backend.get_connection()) as conn:
lb = conn.get_logbook(book_id)
flow_detail = lb.find(flow_id)
except exc.NotFound:
pass
flow_engine = taskflow.engines.load_from_detail(flow_detail,
backend=backend,
engine='serial')
with flow_utils.DynamicLogListener(flow_engine, logger=LOG):
LOG.info("Starting to run previously unfinished task flow")
flow_engine.run()
LOG.info("The previously partially completed flow is finished.")
def main():
backend = impl_sqlalchemy.SQLAlchemyBackend(CONN_CONF)
with contextlib.closing(backend) as backend:
# Make the schema exist...
with contextlib.closing(backend.get_connection()) as conn:
conn.upgrade()
# Now make a prettier version of that schema...
tables = backend.engine.execute(TABLE_QUERY)
table_names = [r[0] for r in tables]
for i, table_name in enumerate(table_names):
pretty_name = NAME_MAPPING.get(table_name, table_name)
print("*" + pretty_name + "*")
# http://www.sqlite.org/faq.html#q24
table_name = table_name.replace("\"", "\"\"")
rows = []
for r in backend.engine.execute(SCHEMA_QUERY % table_name):
# Cut out the numbers from things like VARCHAR(12) since
# this is not very useful to show users who just want to
# see the basic schema...
row_type = re.sub(r"\(.*?\)", "", r['type']).strip()
if not row_type:
raise ValueError("Row %s of table '%s' was empty after"
" cleaning" % (r['cid'], table_name))
rows.append([r['name'], row_type, to_bool_string(r['pk'])])
contents = tabulate.tabulate(
rows, headers=['Name', 'Type', 'Primary Key'],
tablefmt="rst")
print("\n%s" % contents.strip())
if i + 1 != len(table_names):
print("")
def setUp(self):
super(BackendPersistenceTestMixin, self).setUp()
self.backend = None
try:
self.db_uri = self._init_db()
self.db_conf = {'connection': self.db_uri}
# Since we are using random database names, we need to make sure
# and remove our random database when we are done testing.
self.addCleanup(self._remove_db)
except Exception as e:
self.skipTest("Failed to create temporary database;"
" testing being skipped due to: %s" % (e))
else:
self.backend = impl_sqlalchemy.SQLAlchemyBackend(self.db_conf)
self.addCleanup(self.backend.close)
with contextlib.closing(self._get_connection()) as conn:
conn.upgrade()
def setUp(self):
super(BackendPersistenceTestMixin, self).setUp()
self.backend = None
self.big_lock.acquire()
self.addCleanup(self.big_lock.release)
try:
conf = {
'connection': self._reset_database(),
}
except Exception as e:
self.skipTest("Failed to reset your database;"
" testing being skipped due to: %s" % (e))
try:
self.backend = impl_sqlalchemy.SQLAlchemyBackend(conf)
self.addCleanup(self.backend.close)
with contextlib.closing(self._get_connection()) as conn:
conn.upgrade()
except Exception as e:
self.skipTest("Failed to setup your database;"
" testing being skipped due to: %s" % (e))
def run_flow(flow_name, store_spec, tasks):
"""Constructs and run a task flow.
"""
backend = impl_sqlalchemy.SQLAlchemyBackend(CONF)
book = models.LogBook(flow_name)
with contextlib.closing(backend.get_connection()) as conn:
conn.save_logbook(book)
# Now load (but do not run) the flow using the provided initial data.
flow_engine = taskflow.engines.load_from_factory(create_flow,
factory_args=(flow_name,
tasks),
store=store_spec,
backend=backend,
book=None,
engine='serial')
with flow_utils.DynamicLogListener(flow_engine, logger=LOG):
flow_engine.run()
LOG.info("taskflow execute is successfully.")
def _get_connection(self):
conf = {
'connection': self.db_uri,
}
return impl_sqlalchemy.SQLAlchemyBackend(conf).get_connection()
