def start_batch(fullname, conf):
"""Creates a TestBatch for all the given tests and returns it.
Eventually, all tests will automatically run in the background.
Args:
fullname: The full name of the group of tests to run. This should be the
period-separated name of a test package, module, class, or method, or
the empty string to run all tests.
conf: The configuration to use.
run_immediately: If set to True, tests will be run immediately rather than
in the task queue. They will be finished before this function returns.
Returns:
The TestBatch created for the run.
Raises:
TypeError: Wrong input arguments.
"""
utils.check_type(fullname, 'fullname', str)
utils.check_type(conf, 'conf', config.Config)
ctx_options = models.get_ctx_options(conf)
# It's necessary to set the key because if ctx_options['use_datastore'] ==
# False, the key will not be set to something reasonable automatically.
batch_key = ndb.Key(models.TestBatch, utils.rand_unique_id())
batch = models.TestBatch(fullname=fullname, key=batch_key)
batch.put(**ctx_options)
call = deferred.DeferredCall(_initialize_batch, fullname, batch_key, conf)
if conf.storage == 'immediate':
call.run()
# _initialize_batch() should have updated batch data
return batch.key.get(**ctx_options)
else:
deferred.defer_multi([call], queue=conf.test_queue)
return batch
def _initialize_batch(fullname, batch_key, conf):
"""Initializes a TestBatch to start the tests running.
This function creates a RunTestUnitTask for every test unit in the batch and
starts running them in the background.
Args:
batch_key: The ndb.Key of the batch to initialize.
conf: The configuration to use.
run_immediately: If set to True, tests will be run immediately rather than
in the task queue. They will be finished before this function returns.
"""
ctx_options = models.get_ctx_options(conf)
errors_out = []
batch = models.TestBatch(key=batch_key, fullname=fullname)
if _this_task_has_failed_before():
# This will appear to the user as a "load error" in the batch.
msg = ('Unknown error initializing batch %s. See log for details.' %
fullname)
errors_out.append((fullname, msg))
try:
batch.set_info(errors_out, {}, conf)
batch.put(**ctx_options)
# pylint: disable-msg=W0703
except:
msg = 'Error writing message about the batch %s that failed!' % fullname
logging.exception(msg)
return
test = logic.get_requested_object(fullname, conf)
test_units = test.get_units(conf, errors_out)
test_unit_methods = {}
tasks = []
defer_calls = []
for (i, unit) in enumerate(test_units):
# Ignore loading errors for now. _run_test_unit will detect loading errors
# when its task is executed.
method_names = [method.fullname for method in unit.get_methods(conf)]
test_unit_methods[unit.fullname] = method_names
task_key = models.RunTestUnitTask.get_key(batch_key, i)
tasks.append(models.RunTestUnitTask(key=task_key, fullname=unit.fullname))
batch.set_info(errors_out, test_unit_methods, conf)
# Put batch after tasks, so that we don't see that the batch has tasks before
# they exist.
ndb.put_multi(tasks + [batch], **ctx_options)
for task in tasks:
call = deferred.DeferredCall(_run_test_unit, str(task.fullname), task.key,
conf)
if conf.storage == 'immediate':
call.run()
else:
defer_calls.append(call)
if ctx_options.get('use_datastore', True):
defer_calls.append(deferred.DeferredCall(_delete_batch, batch.key, 0, conf,
_countdown=_DELETE_TIME_SECS))
deferred.defer_multi(defer_calls, queue=conf.test_queue)
