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test_client.py
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test_client.py
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import pytest
from time import sleep
from pathlib import Path
from gufe import AlchemicalNetwork, ChemicalSystem, Transformation
from gufe.tokenization import TOKENIZABLE_REGISTRY, GufeKey
from gufe.protocols.protocoldag import execute_DAG
from gufe.tests.test_protocol import BrokenProtocol
import networkx as nx
from alchemiscale.models import ScopedKey, Scope
from alchemiscale.storage.models import TaskStatusEnum
from alchemiscale.interface import client
from alchemiscale.utils import RegistryBackup
from alchemiscale.tests.integration.interface.utils import (
get_user_settings_override,
)
from alchemiscale.interface.client import AlchemiscaleClientError
class TestClient:
def test_wrong_credential(
self,
scope_test,
n4js_preloaded,
user_client_wrong_credential: client.AlchemiscaleClient,
uvicorn_server,
):
with pytest.raises(client.AlchemiscaleClientError):
user_client_wrong_credential.get_info()
def test_refresh_credential(
self,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
uvicorn_server,
):
settings = get_user_settings_override()
assert user_client._jwtoken == None
user_client._get_token()
token = user_client._jwtoken
assert token is not None
# token shouldn't change this fast
user_client.get_info()
assert token == user_client._jwtoken
# should change if we wait a bit
sleep(settings.JWT_EXPIRE_SECONDS + 2)
user_client.get_info()
assert token != user_client._jwtoken
def test_api_check(
self,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
uvicorn_server,
):
user_client._api_check()
def test_list_scopes(
self,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
uvicorn_server,
multiple_scopes,
):
scopes = user_client.list_scopes()
# multiple scopes matches identity used to initialise the client in conftest
assert set(scopes) == set(multiple_scopes)
### inputs
def test_create_network(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
):
# make a smaller network that overlaps with an existing one in DB
an = AlchemicalNetwork(edges=list(network_tyk2.edges)[4:-2], name="smaller")
an_sk = user_client.create_network(an, scope_test)
network_sks = user_client.query_networks()
assert an_sk in network_sks
# TODO: make a network in a scope that doesn't have any components in
# common with an existing network
# user_client.create_network(
def test_query_networks(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
network_sks = user_client.query_networks()
assert len(network_sks) == 6
assert scope_test in [n_sk.scope for n_sk in network_sks]
assert len(user_client.query_networks(scope=scope_test)) == 2
assert len(user_client.query_networks(name=network_tyk2.name)) == 3
def test_query_transformations(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
transformation_sks = user_client.query_transformations()
assert len(transformation_sks) == len(network_tyk2.edges) * 3
assert len(user_client.query_transformations(scope=scope_test)) == len(
network_tyk2.edges
)
assert (
len(
user_client.query_transformations(
name="lig_ejm_31_to_lig_ejm_50_complex"
)
)
== 3
)
assert (
len(
user_client.query_transformations(
scope=scope_test, name="lig_ejm_31_to_lig_ejm_50_complex"
)
)
== 1
)
def test_query_chemicalsystems(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
chemicalsystem_sks = user_client.query_chemicalsystems()
assert len(chemicalsystem_sks) == len(network_tyk2.nodes) * 3
assert len(user_client.query_chemicalsystems(scope=scope_test)) == len(
network_tyk2.nodes
)
assert len(user_client.query_chemicalsystems(name="lig_ejm_31_complex")) == 3
assert (
len(
user_client.query_chemicalsystems(
scope=scope_test, name="lig_ejm_31_complex"
)
)
== 1
)
def test_get_network_transformations(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
n_sk = user_client.get_scoped_key(network_tyk2, scope_test)
tf_sks = user_client.get_network_transformations(n_sk)
assert len(tf_sks) == len(network_tyk2.edges)
assert set(tf_sk.gufe_key for tf_sk in tf_sks) == set(
t.key for t in network_tyk2.edges
)
def test_get_transformation_networks(
self,
scope_test,
n4js_preloaded,
transformation,
user_client: client.AlchemiscaleClient,
):
tf_sk = user_client.get_scoped_key(transformation, scope_test)
an_sks = user_client.get_transformation_networks(tf_sk)
for an_sk in an_sks:
assert tf_sk in user_client.get_network_transformations(an_sk)
def test_get_network_chemicalsystems(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
n_sk = user_client.get_scoped_key(network_tyk2, scope_test)
cs_sks = user_client.get_network_chemicalsystems(n_sk)
assert len(cs_sks) == len(network_tyk2.nodes)
assert set(cs_sk.gufe_key for cs_sk in cs_sks) == set(
cs.key for cs in network_tyk2.nodes
)
def test_get_chemicalsystem_networks(
self,
scope_test,
n4js_preloaded,
chemicalsystem,
user_client: client.AlchemiscaleClient,
):
cs_sk = user_client.get_scoped_key(chemicalsystem, scope_test)
an_sks = user_client.get_chemicalsystem_networks(cs_sk)
for an_sk in an_sks:
assert cs_sk in user_client.get_network_chemicalsystems(an_sk)
def test_get_transformation_chemicalsystems(
self,
scope_test,
n4js_preloaded,
transformation,
user_client: client.AlchemiscaleClient,
):
tf_sk = user_client.get_scoped_key(transformation, scope_test)
cs_sks = user_client.get_transformation_chemicalsystems(tf_sk)
assert len(cs_sks) == 2
assert set(cs_sk.gufe_key for cs_sk in cs_sks) == set(
[transformation.stateA.key, transformation.stateB.key]
)
def test_get_chemicalsystem_transformations(
self,
scope_test,
n4js_preloaded,
network_tyk2,
chemicalsystem,
user_client: client.AlchemiscaleClient,
):
cs_sk = user_client.get_scoped_key(chemicalsystem, scope_test)
tf_sks = user_client.get_chemicalsystem_transformations(cs_sk)
tfs = []
for tf in network_tyk2.edges:
if chemicalsystem in (tf.stateA, tf.stateB):
tfs.append(tf)
assert set(tf_sk.gufe_key for tf_sk in tf_sks) == set(t.key for t in tfs)
def test_get_network(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
an_sk = user_client.get_scoped_key(network_tyk2, scope_test)
an = user_client.get_network(an_sk)
assert an == network_tyk2
assert an is network_tyk2
def test_get_network_weight(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
an_sk = user_client.get_scoped_key(network_tyk2, scope_test)
client_query_result = user_client.get_network_weight(an_sk)
preloaded_taskhub_weight = n4js_preloaded.get_taskhub_weight(an_sk)
assert preloaded_taskhub_weight == client_query_result
assert client_query_result == 0.5
@pytest.mark.parametrize(
"weight, shouldfail",
[
(0.0, False),
(0.5, False),
(1.0, False),
(-1.0, True),
(-1.5, True),
],
)
def test_set_network_weight(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
weight,
shouldfail,
):
an_sk = user_client.get_scoped_key(network_tyk2, scope_test)
if shouldfail:
with pytest.raises(
AlchemiscaleClientError,
match="Status Code 400 : Bad Request : weight must be",
):
user_client.set_network_weight(an_sk, weight)
else:
user_client.set_network_weight(an_sk, weight)
assert user_client.get_network_weight(an_sk) == weight
def test_get_transformation(
self,
scope_test,
n4js_preloaded,
transformation,
user_client: client.AlchemiscaleClient,
):
tf_sk = user_client.get_scoped_key(transformation, scope_test)
tf = user_client.get_transformation(tf_sk)
assert tf == transformation
assert tf is transformation
def test_get_chemicalsystem(
self,
scope_test,
n4js_preloaded,
chemicalsystem,
user_client: client.AlchemiscaleClient,
):
cs_sk = user_client.get_scoped_key(chemicalsystem, scope_test)
cs = user_client.get_chemicalsystem(cs_sk)
assert cs == chemicalsystem
assert cs is chemicalsystem
### compute
def test_create_tasks(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
):
n4js = n4js_preloaded
# select the transformation we want to compute
an = network_tyk2
transformation = list(an.edges)[0]
sk = user_client.get_scoped_key(transformation, scope_test)
task_sks = user_client.create_tasks(sk, count=3)
assert set(task_sks) == set(n4js.get_transformation_tasks(sk))
# try creating tasks that extend one of those we just created
task_sks_e = user_client.create_tasks(sk, count=4, extends=task_sks[0])
# check that we now get additional tasks
assert set(task_sks + task_sks_e) == set(n4js.get_transformation_tasks(sk))
# check that tasks are structured as we expect
assert set(task_sks_e) == set(
n4js.get_transformation_tasks(sk, extends=task_sks[0])
)
assert set() == set(n4js.get_transformation_tasks(sk, extends=task_sks[1]))
def test_query_tasks(
self,
scope_test,
multiple_scopes,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
):
task_sks = user_client.query_tasks()
assert len(task_sks) == 0
tf_sks = user_client.query_transformations(scope=scope_test)
for tf_sk in tf_sks[:10]:
user_client.create_tasks(tf_sk, count=3)
task_sks = user_client.query_tasks()
assert len(task_sks) == 10 * 3
task_sks = user_client.query_tasks(scope=scope_test)
assert len(task_sks) == 10 * 3
task_sks = user_client.query_tasks(scope=multiple_scopes[1])
assert len(task_sks) == 0
# check that we can query by status
task_sks = user_client.query_tasks()
user_client.set_tasks_status(task_sks[:10], "invalid")
task_sks = user_client.query_tasks(status="waiting")
assert len(task_sks) == 10 * 3 - 10
task_sks = user_client.query_tasks(status="invalid")
assert len(task_sks) == 10
task_sks = user_client.query_tasks(status="complete")
assert len(task_sks) == 0
def test_get_network_tasks(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
):
an_sk = user_client.query_networks(scope=scope_test)[0]
tf_sks = user_client.get_network_transformations(an_sk)
task_sks = []
for tf_sk in tf_sks[:10]:
task_sks.extend(user_client.create_tasks(tf_sk, count=3))
task_sks_network = user_client.get_network_tasks(an_sk)
assert set(task_sks_network) == set(task_sks)
assert len(task_sks_network) == len(task_sks)
user_client.set_tasks_status(task_sks[:10], "invalid")
task_sks = user_client.get_network_tasks(an_sk, status="waiting")
assert len(task_sks) == len(task_sks_network) - 10
task_sks = user_client.get_network_tasks(an_sk, status="invalid")
assert len(task_sks) == 10
task_sks = user_client.get_network_tasks(an_sk, status="complete")
assert len(task_sks) == 0
def test_get_task_networks(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
):
an_sk = user_client.query_networks(scope=scope_test)[0]
tf_sks = user_client.get_network_transformations(an_sk)
task_sks = []
for tf_sk in tf_sks[:10]:
task_sks.extend(user_client.create_tasks(tf_sk, count=3))
for task_sk in task_sks:
an_sks = user_client.get_task_networks(task_sk)
assert an_sk in an_sks
for an_sk in an_sks:
assert task_sk in user_client.get_network_tasks(an_sk)
def test_get_transformation_tasks(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
):
n4js = n4js_preloaded
# select the transformation we want to compute
an = network_tyk2
transformation = list(an.edges)[0]
sk = user_client.get_scoped_key(transformation, scope_test)
task_sks = user_client.create_tasks(sk, count=3)
assert set(task_sks) == set(user_client.get_transformation_tasks(sk))
# try creating tasks that extend one of those we just created
task_sks_e = user_client.create_tasks(sk, count=4, extends=task_sks[0])
# check that we now get additional tasks
assert set(task_sks + task_sks_e) == set(
user_client.get_transformation_tasks(sk)
)
# check that tasks are structured as we expect
assert set(task_sks_e) == set(
user_client.get_transformation_tasks(sk, extends=task_sks[0])
)
assert set() == set(
user_client.get_transformation_tasks(sk, extends=task_sks[1])
)
# check graph form of output
graph: nx.DiGraph = user_client.get_transformation_tasks(sk, return_as="graph")
for task_sk in task_sks:
assert len(list(graph.successors(task_sk))) == 0
for task_sk in task_sks_e:
assert graph.has_edge(task_sk, task_sks[0])
# try filtering on status
# check that tasks are structured as we expect
user_client.set_tasks_status(task_sks_e[:2], "invalid")
assert set(task_sks_e[2:]) == set(
user_client.get_transformation_tasks(
sk, extends=task_sks[0], status="waiting"
)
)
assert set(task_sks_e[:2]) == set(
user_client.get_transformation_tasks(
sk, extends=task_sks[0], status="invalid"
)
)
assert set(task_sks_e) == set(
user_client.get_transformation_tasks(sk, extends=task_sks[0])
)
def test_get_task_transformation(
self,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
):
tf_sks = user_client.query_transformations()
task_sks = []
for tf_sk in tf_sks[:10]:
task_sks.append(user_client.create_tasks(tf_sk, count=3))
for tf_sk, tf_task_sks in zip(tf_sks, task_sks):
for task_sk in tf_task_sks:
assert user_client.get_task_transformation(task_sk) == tf_sk
def test_get_scope_status(
self,
multiple_scopes,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
):
# for each of the following scopes, create tasks for a single random
# transformation
for scope in multiple_scopes:
tf_sks = user_client.query_transformations(scope=scope)
user_client.create_tasks(tf_sks[0], count=3)
# now, get status for each scope; check that we are filtering down
# properly
for scope in multiple_scopes:
status_counts = user_client.get_scope_status(scope)
for status in status_counts:
if status == "waiting":
assert status_counts[status] == 3
else:
assert status_counts[status] == 0
# create tasks in a scope we don't have access to
other_scope = Scope("other_org", "other_campaign", "other_project")
n4js_preloaded.create_network(network_tyk2, other_scope)
other_tf_sk = n4js_preloaded.query_transformations(scope=other_scope)[0]
task_sk = n4js_preloaded.create_task(other_tf_sk)
# ask for the scope that we don't have access to
status_counts = user_client.get_scope_status(other_scope)
assert status_counts == {}
# try a more general scope
status_counts = user_client.get_scope_status(Scope())
for status in status_counts:
if status == "waiting":
assert status_counts[status] == 3 * len(multiple_scopes)
else:
assert status_counts[status] == 0
def test_get_network_status(
self,
n4js_preloaded,
multiple_scopes,
user_client: client.AlchemiscaleClient,
):
# for each of the following scopes, get one of the networks present,
# create tasks for a single random transformation
an_sks = []
for scope in multiple_scopes:
an_sk = user_client.query_networks(scope=scope)[0]
tf_sks = user_client.get_network_transformations(an_sk)
user_client.create_tasks(tf_sks[0], count=3)
an_sks.append(an_sk)
# now, get status for each network
for an_sk in an_sks:
status_counts = user_client.get_network_status(an_sk)
for status in status_counts:
if status == "waiting":
assert status_counts[status] == 3
else:
assert status_counts[status] == 0
def test_get_transformation_status(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
uvicorn_server,
):
network_sk = user_client.get_scoped_key(network_tyk2, scope_test)
transformation_sk = user_client.get_network_transformations(network_sk)[0]
all_tasks = user_client.create_tasks(transformation_sk, count=5)
# check the status of the tasks; should all be waiting
stat = user_client.get_transformation_status(transformation_sk)
assert stat == {"waiting": 5}
# cheat and set the status of all tasks to running
ret_task = n4js_preloaded.set_task_status(all_tasks, TaskStatusEnum.running)
assert set(ret_task) == set(all_tasks)
stat = user_client.get_transformation_status(transformation_sk)
assert stat == {"running": 5}
# cheat and set the status of all tasks to complete
ret_task = n4js_preloaded.set_task_status(all_tasks, TaskStatusEnum.complete)
assert set(ret_task) == set(all_tasks)
stat = user_client.get_transformation_status(transformation_sk)
assert stat == {"complete": 5}
@pytest.mark.parametrize(
"get_weights",
[
(True),
(False),
],
)
def test_get_network_actioned_tasks(
self,
scope_test,
n4js_preloaded,
user_client,
network_tyk2,
get_weights,
):
n4js = n4js_preloaded
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
# if no tasks actioned, should get nothing back
assert (
len(
user_client.get_network_actioned_tasks(
network_sk, task_weights=get_weights
)
)
== 0
)
task_sks = user_client.create_tasks(transformation_sk, count=3)
user_client.action_tasks(task_sks[:2], network_sk)
results = user_client.get_network_actioned_tasks(
network_sk, task_weights=get_weights
)
if get_weights:
assert list(results.values()) == [0.5, 0.5]
assert set(results) == set(task_sks[:2])
@pytest.mark.parametrize(
("actioned_tasks"),
[
(True),
(False),
],
)
def test_get_task_actioned_networks(
self,
scope_test,
n4js_preloaded,
user_client,
network_tyk2,
actioned_tasks,
):
n4js = n4js_preloaded
an = network_tyk2
transformation = list(an.edges)[0]
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
networks = user_client.get_transformation_networks(transformation_sk)
task_sks = user_client.create_tasks(transformation_sk)
if actioned_tasks:
for network in networks:
user_client.action_tasks(task_sks, network)
# without requesting weights, default
results = user_client.get_task_actioned_networks(
task_sks[0], task_weights=False
)
if actioned_tasks:
assert len(results) == 2
assert set(results) == set(networks)
else:
assert results == []
# requesting weights
results = user_client.get_task_actioned_networks(task_sks[0], task_weights=True)
if actioned_tasks:
assert len(results) == 2
assert set(results) == set(networks)
assert list(results.values()) == [0.5, 0.5]
else:
assert len(results) == 0
def test_action_tasks(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
):
n4js = n4js_preloaded
# select the transformation we want to compute
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
task_sks = user_client.create_tasks(transformation_sk, count=3)
# action these task for this network, in reverse order
actioned_sks = user_client.action_tasks(task_sks[::-1], network_sk)
# check that the taskhub looks as we expect
taskhub_sk = n4js.get_taskhub(network_sk)
hub_task_sks = n4js.get_taskhub_tasks(taskhub_sk)
assert set(actioned_sks) == set(hub_task_sks)
assert actioned_sks == task_sks[::-1]
# create extending tasks; these should be actioned to the
# taskhub but not claimable
task_sks_e = user_client.create_tasks(
transformation_sk, count=4, extends=task_sks[0]
)
actioned_sks_e = user_client.action_tasks(task_sks_e, network_sk)
assert set(task_sks_e) == set(actioned_sks_e)
@pytest.mark.parametrize(
"weight,shouldfail",
[
(None, False),
(1.0, False),
([0.25, 0.5, 0.75], False),
(-1, True),
(1.5, True),
],
)
def test_action_tasks_with_weights(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
weight,
shouldfail,
):
n4js = n4js_preloaded
# select the transformation we want to compute
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
task_sks = user_client.create_tasks(transformation_sk, count=3)
if shouldfail:
with pytest.raises(AlchemiscaleClientError):
actioned_sks = user_client.action_tasks(
task_sks,
network_sk,
weight,
)
else:
actioned_sks = user_client.action_tasks(
task_sks,
network_sk,
weight,
)
th_sk = n4js.get_taskhub(network_sk)
task_weights = n4js.get_task_weights(task_sks, th_sk)
_weight = weight
if weight is None:
_weight = [0.5] * len(task_sks)
elif not isinstance(weight, list):
_weight = [weight] * len(task_sks)
assert task_weights == _weight
# actioning tasks again with None should preserve
# task weights
user_client.action_tasks(task_sks, network_sk, weight=None)
task_weights = n4js.get_task_weights(task_sks, th_sk)
assert task_weights == _weight
def test_action_tasks_update_weights(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
):
n4js = n4js_preloaded
# select the transformation we want to compute
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
th_sk = n4js.get_taskhub(network_sk)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
task_sks = user_client.create_tasks(transformation_sk, count=3)
user_client.action_tasks(task_sks, network_sk)
# base case
assert [0.5, 0.5, 0.5] == n4js.get_task_weights(task_sks, th_sk)
new_weights = [1.0, 0.7, 0.4]
user_client.action_tasks(task_sks, network_sk, new_weights)
assert new_weights == n4js.get_task_weights(task_sks, th_sk)
# action a couple more tasks along with existing ones, then check weights as expected
new_task_sks = user_client.create_tasks(transformation_sk, count=2)
user_client.action_tasks(task_sks + new_task_sks, network_sk)
assert new_weights + [0.5] * 2 == n4js.get_task_weights(
task_sks + new_task_sks, th_sk
)
def test_cancel_tasks(
self,
scope_test,
n4js_preloaded,
user_client: client.AlchemiscaleClient,
network_tyk2,
):
n4js = n4js_preloaded
# select the transformation we want to compute
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
task_sks = user_client.create_tasks(transformation_sk, count=3)
# action these task for this network, in reverse order
actioned_sks = user_client.action_tasks(task_sks[::-1], network_sk)
# try canceling one of these tasks
canceled_sks = user_client.cancel_tasks(task_sks[1:2], network_sk)
# check that the taskhub looks as we expect
taskhub_sk = n4js.get_taskhub(network_sk)
hub_task_sks = n4js.get_taskhub_tasks(taskhub_sk)
assert set([actioned_sks[0], actioned_sks[2]]) == set(hub_task_sks)
assert canceled_sks == [actioned_sks[1]]
# try to cancel a task that's not present on the hub
canceled_sks_2 = user_client.cancel_tasks(task_sks[1:2], network_sk)
assert canceled_sks_2 == [None]
@pytest.mark.parametrize(
"status, should_raise",
[
(TaskStatusEnum.waiting, False),
(TaskStatusEnum.running, True),
(TaskStatusEnum.complete, True),
(TaskStatusEnum.error, True),
(TaskStatusEnum.invalid, False),
(TaskStatusEnum.deleted, False),
],
)
def test_set_tasks_status(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
uvicorn_server,
status,
should_raise,
):
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
all_tasks = user_client.create_tasks(transformation_sk, count=5)
if should_raise:
with pytest.raises(AlchemiscaleClientError):
user_client.set_tasks_status(all_tasks, status)
else:
# set the status of a task
user_client.set_tasks_status(all_tasks, status)
# check that the status has been set
# note must be list on n4js side
statuses = n4js_preloaded.get_task_status(all_tasks)
assert all([s == status for s in statuses])
@pytest.mark.parametrize(
"status, should_raise",
[
(TaskStatusEnum.waiting, False),
(TaskStatusEnum.running, True),
(TaskStatusEnum.complete, True),
(TaskStatusEnum.error, True),
(TaskStatusEnum.invalid, False),
(TaskStatusEnum.deleted, False),
],
)
def test_get_tasks_status(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
uvicorn_server,
status,
should_raise,
):
an = network_tyk2
transformation = list(an.edges)[0]
network_sk = user_client.get_scoped_key(an, scope_test)
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
all_tasks = user_client.create_tasks(transformation_sk, count=5)
# set the status of a task
if should_raise:
with pytest.raises(AlchemiscaleClientError):
user_client.set_tasks_status(all_tasks, status)
else:
user_client.set_tasks_status(all_tasks, status)
# check that the status has been set
statuses = user_client.get_tasks_status(all_tasks)
assert all([s == status.value for s in statuses])
def test_get_tasks_priority(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
uvicorn_server,
):
an = network_tyk2
transformation = list(an.edges)[0]
transformation_sk = user_client.get_scoped_key(transformation, scope_test)
all_tasks = user_client.create_tasks(transformation_sk, count=5)
priorities = user_client.get_tasks_priority(all_tasks)
assert all([p == 10 for p in priorities])
@pytest.mark.parametrize(
"priority, should_raise",
[
(1, False),
(-1, True),
],
)
def test_set_tasks_priority(
self,
scope_test,
n4js_preloaded,
network_tyk2,
user_client: client.AlchemiscaleClient,
uvicorn_server,