def test_pause_on_fail(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
def failing_action_function(trail_env, context):
raise Exception('mock failure')
step_a = Step(failing_action_function)
step_b = Step(action_function_b)
# Trail definition: The following example trail represents the following DAG:
# step_a ----> step_b
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('failing_action_function', Step.PAUSED_ON_FAIL)
self.check_step_attributes(
StatusField.STATE, {
'failing_action_function': Step.PAUSED_ON_FAIL,
'action_function_b': Step.WAIT,
})
self.check_step_attributes(StatusField.RETURN_VALUE, {
'failing_action_function': 'mock failure',
'action_function_b': None,
})
def setUp(self):
self.step_a = Step(action_function_a)
self.step_b = Step(action_function_b, foo='bar')
self.step_c = Step(action_function_c)
self.step_d = Step(action_function_d)
self.step_e = Step(action_function_e)
self.step_f = Step(action_function_f, foo='bar')
self.step_g = Step(action_function_g)
# Trail definition
# The following example trail represents the following DAG:
# The run-time (in seconds) of each step is mentioned below the step name.
# +----> step_b ----> step_c ----> step_d ----+
# | 1 1 1 |
# step_a -| +----> step_g
# 1 | 1 1 | 1
# +----> step_e -----------------> step_f ----+
#
test_trail_definition = [
(self.step_a, self.step_b),
(self.step_a, self.step_e),
# First branch
(self.step_b, self.step_c),
(self.step_c, self.step_d),
(self.step_d, self.step_g),
# Second branch
(self.step_e, self.step_f),
(self.step_f, self.step_g),
]
# Adding this for convenience in tests.
self.step_list = [
self.step_a,
self.step_b,
self.step_c,
self.step_d,
self.step_e,
self.step_f,
self.step_g,
]
# Setup trail to run automatically (non-interactively)
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
def test_message_passing(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
def io_action_function(trail_env, context):
reply = trail_env.input('Prompting user')
trail_env.output('Reply received: {}'.format(reply))
def slow_action_function(trail_env, context):
sleep(0.2)
step_a = Step(io_action_function)
step_b = Step(slow_action_function)
# Trail definition: The following example trail represents the following DAG:
# step_a ----> step_b
#
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('io_action_function', Step.RUN)
statuses = self.trail_client.status(name='io_action_function')
self.assertEqual(len(statuses), 1)
prompt_message = statuses[0][StatusField.UNREPLIED_PROMPT_MESSAGE]
self.assertEqual(prompt_message, 'Prompting user')
# Reply to steps
self.trail_client.send_message_to_steps(name='io_action_function',
message='Done',
dry_run=False)
self.wait_till('io_action_function', Step.SUCCESS)
# Check reply
statuses = self.trail_client.status(
name='io_action_function', fields=[StatusField.OUTPUT_MESSAGES])
self.assertEqual(len(statuses), 1)
output_messages = statuses[0][StatusField.OUTPUT_MESSAGES]
self.assertEqual(output_messages, ['Reply received: Done'])
def test_interrupt(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
# We need a long running step to be able to invoke interrupt on it.
def long_running_action_function(trail_env, context):
sleep(3)
return "This is action A. Value from context: {}".format(
context.value)
step_a = Step(long_running_action_function)
step_b = Step(action_function_b)
# Define a trail with slightly long running steps.
# The following example trail represents the following DAG:
# step_a ----> step_b
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('long_running_action_function', Step.RUN)
# long_running_action_function is a long running step (5 seconds), so terminate it.
affected_steps = self.trail_client.interrupt(dry_run=False)
self.check_affected_steps(affected_steps,
['long_running_action_function'])
self.check_step_attributes(
StatusField.STATE, {
'long_running_action_function': Step.INTERRUPTED,
'action_function_b': Step.WAIT,
})
# Make sure interrupted is a state that can be resumed from (re-run).
affected_steps = self.trail_client.resume()
self.check_affected_steps(affected_steps,
['long_running_action_function'])
(step_a, step_b),
(step_a, step_e),
# First branch
(step_b, step_c),
(step_c, step_d),
(step_d, step_g),
# Second branch
(step_e, step_f),
(step_f, step_g),
]
# Setup trail to run automatically (non-interactively)
context = Context(42)
example_trail_server = TrailServer(example_trail_definition, delay=0.5, context=context)
# Run the server in a separate thread so that we can interact with it right here.
example_trail_server.serve(threaded=True)
example_trail = TrailClient(example_trail_server.socket_file)
example = InteractiveTrail(example_trail)
# Start interactive session
interactive(globals(), prompt='Example Trail>')
example.stop(interrupt=True)
example.shutdown(dry_run=False)
help='The factor to use for computing sleep time.')
branch_selector = parser.add_mutually_exclusive_group(required=True)
branch_selector.add_argument('--lazy',
dest='branch_choice',
action='store_const',
const=BranchChoice.lazy)
branch_selector.add_argument('--hardwork',
dest='branch_choice',
action='store_const',
const=BranchChoice.hardwork)
args = parser.parse_args()
# Setup trail server
context = Context(args.branch_choice, factor=args.factor)
day_trail_server = TrailServer(my_day_trail_definition,
delay=0.5,
context=context)
# Since we will be interacting (using a client) with the trail in the same script, we need to run it as a separate
# process.
day_trail_server.serve(threaded=True)
# Here we use 2 types of clients to interact with the trail.
# 1. A programmatic client, which returns dictionaries/lists containing API results.
day_trail_client = TrailClient(day_trail_server.socket_file)
# 2. An interactive client, which prints the API results to STDOUT.
# This client can easily be made to write the API results to a file or any other stream. Please read the
# documentation of the class to know the full functionality.
day_trail_interactive_client = InteractiveTrail(day_trail_client)
# To start an interactive session, uncomment the following:
'List the files changed last with: ls -ltr')))
# Trail definition
# |--> step_c --> step_e
# step_a --> step_b -->|
# |--> step_d
#
#
runbook_trail_definition = [
(step_a, step_b),
(step_b, step_c),
(step_b, step_d),
(step_c, step_e),
]
runbook_trail_server = TrailServer(runbook_trail_definition, delay=0.1)
runbook_trail_server.serve(threaded=True)
runbook_trail = TrailClient(runbook_trail_server.socket_file)
runbook_interactive = InteractiveTrail(runbook_trail)
runbook_trail.start()
# Convenience functions to save typing
def runbook(n=None):
"""This is the only function the user needs to use for the normal run of
the runbook.
Usage:
runbook() -- Start running the runbook trail if it isn't running.
runbook() -- Get next instruction. This will show all the instructions
that are:
class AutoTrailValidationTests(unittest.TestCase):
def setUp(self):
self.step_a = Step(action_function_a)
self.step_b = Step(action_function_b, foo='bar')
self.step_c = Step(action_function_c)
self.step_d = Step(action_function_d)
self.step_e = Step(action_function_e)
self.step_f = Step(action_function_f, foo='bar')
self.step_g = Step(action_function_g)
# Trail definition
# The following example trail represents the following DAG:
# The run-time (in seconds) of each step is mentioned below the step name.
# +----> step_b ----> step_c ----> step_d ----+
# | 1 1 1 |
# step_a -| +----> step_g
# 1 | 1 1 | 1
# +----> step_e -----------------> step_f ----+
#
test_trail_definition = [
(self.step_a, self.step_b),
(self.step_a, self.step_e),
# First branch
(self.step_b, self.step_c),
(self.step_c, self.step_d),
(self.step_d, self.step_g),
# Second branch
(self.step_e, self.step_f),
(self.step_f, self.step_g),
]
# Adding this for convenience in tests.
self.step_list = [
self.step_a,
self.step_b,
self.step_c,
self.step_d,
self.step_e,
self.step_f,
self.step_g,
]
# Setup trail to run automatically (non-interactively)
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
def tearDown(self):
self.trail_client.stop(dry_run=False)
self.trail_client.shutdown(dry_run=False)
def check_step_attributes(self, attribute, expected_values,
**status_kwargs):
statuses = self.trail_client.status(**status_kwargs)
self.assertNotEqual(statuses, None, 'Status returned was None.')
self.assertNotEqual(statuses, [], 'Status returned was empty.')
for status in statuses:
step_name = status[StatusField.NAME]
value = status[attribute]
expected_value = expected_values[step_name]
self.assertEqual(value, expected_value, (
'The status of step {step_name} was expected to be "{expected}" but was found to be "{value}".'
).format(step_name=step_name, expected=expected_value,
value=value))
def check_affected_steps(self, affected_steps,
affected_step_names_expected):
affected_step_names = [str(step['name']) for step in affected_steps]
self.assertEqual(len(affected_step_names),
len(affected_step_names_expected))
for expected_step_name in affected_step_names_expected:
self.assertIn(expected_step_name, affected_step_names, (
'Expected {expected} to be affected but it was not. List of affected step names: {affected}'
).format(expected=expected_step_name,
affected=affected_step_names))
def wait_till(self, step_name, state):
while True:
statuses = self.trail_client.status(fields=[StatusField.STATE])
for status in statuses:
if status[StatusField.NAME] == step_name and status[
StatusField.STATE] == state:
return
sleep(0.2)
def test_simple_run(self):
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.READY,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.READY,
'action_function_g': Step.READY,
})
affected_steps = self.trail_client.start()
self.check_affected_steps(affected_steps, [
'action_function_a',
'action_function_b',
'action_function_c',
'action_function_d',
'action_function_e',
'action_function_f',
'action_function_g',
])
self.wait_till('action_function_g', Step.SUCCESS)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.SUCCESS,
'action_function_b': Step.SUCCESS,
'action_function_c': Step.SUCCESS,
'action_function_d': Step.SUCCESS,
'action_function_e': Step.SUCCESS,
'action_function_f': Step.SUCCESS,
'action_function_g': Step.SUCCESS,
})
def test_pause(self):
# Pausing with dry_run should have no impact
affected_steps = self.trail_client.pause()
self.check_affected_steps(affected_steps, [
'action_function_a',
'action_function_b',
'action_function_c',
'action_function_d',
'action_function_e',
'action_function_f',
'action_function_g',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.READY,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.READY,
'action_function_g': Step.READY,
})
# Pause all steps
affected_steps = self.trail_client.pause(dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_a',
'action_function_b',
'action_function_c',
'action_function_d',
'action_function_e',
'action_function_f',
'action_function_g',
])
self.check_step_attributes(
StatusField.STATE,
{
'action_function_a': Step.
PAUSED, # Control reaches here and pauses, so this will be the state.
'action_function_b': Step.TOPAUSE,
'action_function_c': Step.TOPAUSE,
'action_function_d': Step.TOPAUSE,
'action_function_e': Step.TOPAUSE,
'action_function_f': Step.TOPAUSE,
'action_function_g': Step.TOPAUSE,
})
affected_steps = self.trail_client.start()
# Check whether a step in Step.TOPAUSE gets correctly transitioned to Step.PAUSED
# Run action_function_a so that the control reaches action_function_b and action_function_e and transitions
# them from Step.TOPAUSE to Step.PAUSED.
affected_steps = self.trail_client.resume(name='action_function_a',
dry_run=False)
self.check_affected_steps(affected_steps, ['action_function_a'])
self.wait_till('action_function_b', Step.PAUSED)
self.wait_till('action_function_e', Step.PAUSED)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.SUCCESS,
'action_function_b': Step.PAUSED,
'action_function_c': Step.TOPAUSE,
'action_function_d': Step.TOPAUSE,
'action_function_e': Step.PAUSED,
'action_function_f': Step.TOPAUSE,
'action_function_g': Step.TOPAUSE,
})
def test_resume(self):
affected_steps = self.trail_client.pause(dry_run=False)
affected_steps = self.trail_client.start()
affected_steps = self.trail_client.resume(name='action_function_a',
dry_run=False)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.RUN,
'action_function_b': Step.TOPAUSE,
'action_function_c': Step.TOPAUSE,
'action_function_d': Step.TOPAUSE,
'action_function_e': Step.TOPAUSE,
'action_function_f': Step.TOPAUSE,
'action_function_g': Step.TOPAUSE,
})
self.check_affected_steps(affected_steps, ['action_function_a'])
affected_steps = self.trail_client.resume(dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_c',
'action_function_d',
'action_function_e',
'action_function_f',
'action_function_g',
])
self.wait_till('action_function_g', Step.SUCCESS)
# Check the end state (everything succeeded)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.SUCCESS,
'action_function_b': Step.SUCCESS,
'action_function_c': Step.SUCCESS,
'action_function_d': Step.SUCCESS,
'action_function_e': Step.SUCCESS,
'action_function_f': Step.SUCCESS,
'action_function_g': Step.SUCCESS,
})
def test_pause_branch_and_resume_branch(self):
# +----> step_b ----> step_c ----> step_d ----+
# | |
# step_a -| +----> step_g
# | |
# +----> step_e -----------------> step_f ----+
#
affected_steps = self.trail_client.pause_branch(
name='action_function_b', dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_c',
'action_function_d',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.TOPAUSE,
'action_function_c': Step.TOPAUSE,
'action_function_d': Step.TOPAUSE,
'action_function_e': Step.READY,
'action_function_f': Step.READY,
'action_function_g': Step.READY,
})
affected_steps = self.trail_client.resume_branch(
name='action_function_b', dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_c',
'action_function_d',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.WAIT,
'action_function_c': Step.WAIT,
'action_function_d': Step.WAIT,
'action_function_e': Step.READY,
'action_function_f': Step.READY,
'action_function_g': Step.READY,
})
def test_pause_on_fail(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
def failing_action_function(trail_env, context):
raise Exception('mock failure')
step_a = Step(failing_action_function)
step_b = Step(action_function_b)
# Trail definition: The following example trail represents the following DAG:
# step_a ----> step_b
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('failing_action_function', Step.PAUSED_ON_FAIL)
self.check_step_attributes(
StatusField.STATE, {
'failing_action_function': Step.PAUSED_ON_FAIL,
'action_function_b': Step.WAIT,
})
self.check_step_attributes(StatusField.RETURN_VALUE, {
'failing_action_function': 'mock failure',
'action_function_b': None,
})
def test_message_passing(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
def io_action_function(trail_env, context):
reply = trail_env.input('Prompting user')
trail_env.output('Reply received: {}'.format(reply))
def slow_action_function(trail_env, context):
sleep(0.2)
step_a = Step(io_action_function)
step_b = Step(slow_action_function)
# Trail definition: The following example trail represents the following DAG:
# step_a ----> step_b
#
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('io_action_function', Step.RUN)
statuses = self.trail_client.status(name='io_action_function')
self.assertEqual(len(statuses), 1)
prompt_message = statuses[0][StatusField.UNREPLIED_PROMPT_MESSAGE]
self.assertEqual(prompt_message, 'Prompting user')
# Reply to steps
self.trail_client.send_message_to_steps(name='io_action_function',
message='Done',
dry_run=False)
self.wait_till('io_action_function', Step.SUCCESS)
# Check reply
statuses = self.trail_client.status(
name='io_action_function', fields=[StatusField.OUTPUT_MESSAGES])
self.assertEqual(len(statuses), 1)
output_messages = statuses[0][StatusField.OUTPUT_MESSAGES]
self.assertEqual(output_messages, ['Reply received: Done'])
def test_skip(self):
affected_steps = self.trail_client.skip(foo='bar', dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.TOSKIP,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.TOSKIP,
'action_function_g': Step.READY,
})
self.trail_client.start()
self.wait_till('action_function_g', Step.SUCCESS)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.SUCCESS,
'action_function_b': Step.SKIPPED,
'action_function_c': Step.SUCCESS,
'action_function_d': Step.SUCCESS,
'action_function_e': Step.SUCCESS,
'action_function_f': Step.SKIPPED,
'action_function_g': Step.SUCCESS,
})
def test_unskip(self):
affected_steps = self.trail_client.skip(foo='bar', dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.TOSKIP,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.TOSKIP,
'action_function_g': Step.READY,
})
affected_steps = self.trail_client.unskip()
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
affected_steps = self.trail_client.unskip(foo='bar', dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.WAIT,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.WAIT,
'action_function_g': Step.READY,
})
def test_block(self):
affected_steps = self.trail_client.block(foo='bar', dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.TOBLOCK,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.TOBLOCK,
'action_function_g': Step.READY,
})
self.trail_client.start()
self.wait_till('action_function_b', Step.BLOCKED)
self.wait_till('action_function_f', Step.BLOCKED)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.SUCCESS,
'action_function_b': Step.BLOCKED,
'action_function_c': Step.WAIT,
'action_function_d': Step.WAIT,
'action_function_e': Step.SUCCESS,
'action_function_f': Step.BLOCKED,
'action_function_g': Step.WAIT,
})
def test_unblock(self):
affected_steps = self.trail_client.block(foo='bar', dry_run=False)
affected_steps = self.trail_client.unblock(foo='bar')
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
affected_steps = self.trail_client.unblock(dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_b',
'action_function_f',
])
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.READY,
'action_function_b': Step.WAIT,
'action_function_c': Step.READY,
'action_function_d': Step.READY,
'action_function_e': Step.READY,
'action_function_f': Step.WAIT,
'action_function_g': Step.READY,
})
def test_interrupt(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
# We need a long running step to be able to invoke interrupt on it.
def long_running_action_function(trail_env, context):
sleep(3)
return "This is action A. Value from context: {}".format(
context.value)
step_a = Step(long_running_action_function)
step_b = Step(action_function_b)
# Define a trail with slightly long running steps.
# The following example trail represents the following DAG:
# step_a ----> step_b
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('long_running_action_function', Step.RUN)
# long_running_action_function is a long running step (5 seconds), so terminate it.
affected_steps = self.trail_client.interrupt(dry_run=False)
self.check_affected_steps(affected_steps,
['long_running_action_function'])
self.check_step_attributes(
StatusField.STATE, {
'long_running_action_function': Step.INTERRUPTED,
'action_function_b': Step.WAIT,
})
# Make sure interrupted is a state that can be resumed from (re-run).
affected_steps = self.trail_client.resume()
self.check_affected_steps(affected_steps,
['long_running_action_function'])
def test_stop(self):
# First shutdown the default setup trail.
self.trail_client.shutdown(dry_run=False)
# We need a long running step to be able to invoke interrupt on it.
def long_running_action_function(trail_env, context):
sleep(3)
return "This is action A. Value from context: {}".format(
context.value)
step_a = Step(long_running_action_function)
step_b = Step(action_function_b)
# Define a trail with slightly long running steps.
# The following example trail represents the following DAG:
# step_a ----> step_b
test_trail_definition = [(step_a, step_b)]
context = Context(42)
self.trail_server = TrailServer(test_trail_definition,
delay=0.1,
context=context)
self.trail_server.serve(threaded=True)
self.trail_client = TrailClient(self.trail_server.socket_file)
self.trail_client.start()
self.wait_till('long_running_action_function', Step.RUN)
# long_running_action_function is a long running step (5 seconds), so stop the trail with interrupt.
affected_steps = self.trail_client.stop(dry_run=False)
self.wait_till('long_running_action_function', Step.BLOCKED)
self.check_affected_steps(affected_steps, [
'long_running_action_function',
])
self.check_step_attributes(
StatusField.STATE, {
'long_running_action_function': Step.BLOCKED,
'action_function_b': Step.TOBLOCK,
})
def test_next_step(self):
self.trail_client.pause(dry_run=False)
self.trail_client.start()
affected_steps = self.trail_client.next_step()
self.check_affected_steps(affected_steps, ['action_function_a'])
affected_steps = self.trail_client.next_step(step_count=3,
dry_run=False)
self.check_affected_steps(affected_steps, [
'action_function_a',
'action_function_b',
'action_function_e',
])
self.wait_till('action_function_b', Step.SUCCESS)
self.wait_till('action_function_e', Step.SUCCESS)
self.wait_till('action_function_c', Step.PAUSED)
self.wait_till('action_function_f', Step.PAUSED)
self.check_step_attributes(
StatusField.STATE, {
'action_function_a': Step.SUCCESS,
'action_function_b': Step.SUCCESS,
'action_function_c': Step.PAUSED,
'action_function_d': Step.TOPAUSE,
'action_function_e': Step.SUCCESS,
'action_function_f': Step.PAUSED,
'action_function_g': Step.TOPAUSE,
})
# step_a -| +----> step_g
# 5 | 5 1 | 10
# +----> step_e -----------------> step_f ----+
#
example_trail_definition = [
(step_a, step_b),
(step_a, step_e),
# First branch
(step_b, step_c),
(step_c, step_d),
(step_d, step_g),
# Second branch
(step_e, step_f),
(step_f, step_g),
]
# Setup trail to run automatically (non-interactively)
context = Context(42)
socket_file = os.path.join('/', 'tmp', 'autotrail.example.server')
example_trail_server = TrailServer(example_trail_definition,
socket_file=socket_file,
delay=0.5,
context=context)
try:
example_trail_server.serve()
except:
os.remove(socket_file)
raise
