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test_data_model_cache.py
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test_data_model_cache.py
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import pytest
from util.meshing_workflow import ( # noqa: F401
new_mesh_session,
new_watertight_workflow_session,
)
from ansys.api.fluent.v0.variant_pb2 import Variant
import ansys.fluent.core as pyfluent
from ansys.fluent.core.data_model_cache import DataModelCache, NameKey
from ansys.fluent.core.services.datamodel_se import _convert_value_to_variant
class Fake:
def __init__(self, path):
if isinstance(path, str):
self.path = [
comp.split(":") if ":" in comp else [comp, ""]
for comp in path.split("/")
]
else:
self.path = path
def test_data_model_cache():
cache = DataModelCache()
cache.set_state("x", Fake([("A", ""), ("x", "")]), 42.0)
assert 42.0 == cache.get_state("x", Fake([("A", ""), ("x", "")]))
assert dict(x=42.0) == cache.get_state("x", Fake([("A", "")]))
assert DataModelCache.Empty == cache.get_state("x", Fake([("B", "")]))
assert DataModelCache.Empty == cache.get_state("y", Fake([]))
@pytest.mark.parametrize(
"initial_cache,rules,state,deleted_paths,final_cache",
[
(
{"r1": {"A": {"B": "ab", "C": {}, "D:D-1": {"__iname__": "D1"}}}},
"r1",
None,
["X/D:D1", "A/D:Y1", "A/D:D1"],
{"r1": {"A": {"B": "ab", "C": {}}}},
),
({"r1": {}}, "r1", {"A": True}, [], {"r1": {"A": True}}),
({"r1": {}}, "r1", {"A": 5}, [], {"r1": {"A": 5}}),
({"r1": {}}, "r1", {"A": 3.0}, [], {"r1": {"A": 3.0}}),
({"r1": {}}, "r1", {"A": "ab"}, [], {"r1": {"A": "ab"}}),
({"r1": {}}, "r1", {"A": [False, True]}, [], {"r1": {"A": [False, True]}}),
({"r1": {}}, "r1", {"A": [5, 10]}, [], {"r1": {"A": [5, 10]}}),
({"r1": {}}, "r1", {"A": [3.0, 6.0]}, [], {"r1": {"A": [3.0, 6.0]}}),
({"r1": {}}, "r1", {"A": ["ab", "cd"]}, [], {"r1": {"A": ["ab", "cd"]}}),
({"r1": {"A": {}}}, "r1", {"A": {"B": 5}}, [], {"r1": {"A": {"B": 5}}}),
({"r1": {"A": 5}}, "r1", {"A": {}}, [], {"r1": {"A": 5}}),
({"r1": {"A": 5}}, "r1", {"A": None}, [], {"r1": {"A": None}}),
(
{"r1": {"A": {}}},
"r1",
{"A": {"B": {"C": 5}}},
[],
{"r1": {"A": {"B": {"C": 5}}}},
),
(
{"r1": {"A": {}}},
"r1",
{"A": {"B:B1": {"_name_": "B-1", "C": 5.0}}},
[],
{"r1": {"A": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 5.0}}}},
),
(
{"r1": {"A": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 5.0}}}},
"r1",
{"A": {"B:B1": {"C": 7.0}}},
[],
{"r1": {"A": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 7.0}}}},
),
(
{"r1": {}},
"r1",
{"B:B1": {"_name_": "B-1", "C": 5.0}},
[],
{"r1": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 5.0}}},
),
(
{"r1": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 5.0}}},
"r1",
{"B:B1": {"C": 7.0}},
[],
{"r1": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 7.0}}},
),
(
{"r1": {}},
"r1",
{"A:A1": {"_name_": "A-1", "B:B1": {"_name_": "B-1", "D": 7.0}, "C": 5.0}},
[],
{
"r1": {
"A:A-1": {
"__iname__": "A1",
"_name_": "A-1",
"B:B-1": {"__iname__": "B1", "_name_": "B-1", "D": 7.0},
"C": 5.0,
}
}
},
),
(
{"r1": {"B:B-1": {"__iname__": "B1", "_name_": "B-1", "C": 5.0}}},
"r1",
{"B:B1": {"_name_": "B-2", "C": 5.0}},
["B:B1"],
{"r1": {"B:B-2": {"__iname__": "B1", "_name_": "B-2", "C": 5.0}}},
),
],
)
def test_update_cache_display_names_as_keys(
initial_cache, rules, state, deleted_paths, final_cache
):
cache = DataModelCache()
cache_rules = cache.rules_str_to_cache
cache_rules.clear()
cache_rules.update(initial_cache)
var = Variant()
_convert_value_to_variant(state, var)
cache.update_cache(rules, var, deleted_paths)
assert cache_rules == final_cache
@pytest.mark.parametrize(
"initial_cache,rules,state,deleted_paths,final_cache",
[
(
{"r1": {"A": {"B": "ab", "C": {}, "D:D1": {}}}},
"r1",
None,
["X/D:D1", "A/D:Y1", "A/D:D1"],
{"r1": {"A": {"B": "ab", "C": {}}}},
),
({"r1": {}}, "r1", {"A": True}, [], {"r1": {"A": True}}),
({"r1": {}}, "r1", {"A": 5}, [], {"r1": {"A": 5}}),
({"r1": {}}, "r1", {"A": 3.0}, [], {"r1": {"A": 3.0}}),
({"r1": {}}, "r1", {"A": "ab"}, [], {"r1": {"A": "ab"}}),
({"r1": {}}, "r1", {"A": [False, True]}, [], {"r1": {"A": [False, True]}}),
({"r1": {}}, "r1", {"A": [5, 10]}, [], {"r1": {"A": [5, 10]}}),
({"r1": {}}, "r1", {"A": [3.0, 6.0]}, [], {"r1": {"A": [3.0, 6.0]}}),
({"r1": {}}, "r1", {"A": ["ab", "cd"]}, [], {"r1": {"A": ["ab", "cd"]}}),
({"r1": {"A": {}}}, "r1", {"A": {"B": 5}}, [], {"r1": {"A": {"B": 5}}}),
(
{"r1": {"A": {}}},
"r1",
{"A": {"B": {"C": 5}}},
[],
{"r1": {"A": {"B": {"C": 5}}}},
),
(
{"r1": {"A": {}}},
"r1",
{"A": {"B:B1": {"_name_": "B-1", "C": 5.0}}},
[],
{"r1": {"A": {"B:B1": {"_name_": "B-1", "C": 5.0}}}},
),
(
{"r1": {"A": {"B:B1": {"_name_": "B-1", "C": 5.0}}}},
"r1",
{"A": {"B:B1": {"C": 7.0}}},
[],
{"r1": {"A": {"B:B1": {"_name_": "B-1", "C": 7.0}}}},
),
(
{"r1": {}},
"r1",
{"B:B1": {"_name_": "B-1", "C": 5.0}},
[],
{"r1": {"B:B1": {"_name_": "B-1", "C": 5.0}}},
),
(
{"r1": {"B:B1": {"_name_": "B-1", "C": 5.0}}},
"r1",
{"B:B1": {"C": 7.0}},
[],
{"r1": {"B:B1": {"_name_": "B-1", "C": 7.0}}},
),
(
{"r1": {}},
"r1",
{"A:A1": {"_name_": "A-1", "B:B1": {"_name_": "B-1", "D": 7.0}, "C": 5.0}},
[],
{
"r1": {
"A:A1": {
"_name_": "A-1",
"B:B1": {"_name_": "B-1", "D": 7.0},
"C": 5.0,
}
}
},
),
(
{"r1": {"B:B1": {"_name_": "B-1", "C": 5.0}}},
"r1",
{"B:B1": {"_name_": "B-2", "C": 5.0}},
["B:B1"],
{"r1": {"B:B1": {"_name_": "B-2", "C": 5.0}}},
),
],
)
def test_update_cache_internal_names_as_keys(
initial_cache, rules, state, deleted_paths, final_cache
):
cache = DataModelCache()
cache.set_config("r1", "name_key", NameKey.INTERNAL)
cache_rules = cache.rules_str_to_cache
cache_rules.clear()
cache_rules.update(initial_cache)
var = Variant()
_convert_value_to_variant(state, var)
cache.update_cache(rules, var, deleted_paths)
assert cache_rules == final_cache
@pytest.mark.fluent_version(">=23.1")
@pytest.mark.codegen_required
def test_get_cached_values_in_command_arguments(new_mesh_session):
new_mesh_session.workflow.InitializeWorkflow(WorkflowType="Watertight Geometry")
geo_import = new_mesh_session.workflow.TaskObject["Import Geometry"]
geo_import.Arguments = dict(FileName="Bob")
geo_import.Arguments = dict(FileName=None)
assert "FileName" in geo_import.command_arguments()
assert geo_import.command_arguments()["FileName"] is None
@pytest.fixture
def display_names_as_keys_in_cache():
DataModelCache.use_display_name = True
yield
DataModelCache.use_display_name = False
def test_display_names_as_keys(
display_names_as_keys_in_cache, new_watertight_workflow_session
):
cache = new_watertight_workflow_session._datamodel_service_se.cache
assert "TaskObject:Import Geometry" in cache.rules_str_to_cache["workflow"]
assert "TaskObject:TaskObject1" not in cache.rules_str_to_cache["workflow"]
def test_internal_names_as_keys(new_watertight_workflow_session):
cache = new_watertight_workflow_session._datamodel_service_se.cache
assert "TaskObject:Import Geometry" not in cache.rules_str_to_cache["workflow"]
assert "TaskObject:TaskObject1" in cache.rules_str_to_cache["workflow"]
@pytest.mark.parametrize(
"rules_cache,name_key_in_config,path,name_key,state",
[
({"A": {"B": {"C": 2}}}, NameKey.INTERNAL, "A/B", NameKey.INTERNAL, {"C": 2}),
(
{"A": {"B:B1": {"C:C1": {"_name_": "C-1"}, "_name_": "B-1"}}},
NameKey.INTERNAL,
"A/B:B-1",
NameKey.DISPLAY,
{"C:C-1": {"_name_": "C-1"}, "_name_": "B-1"},
),
(
{"A": {"B:B1": {"C:C1": {"_name_": "C-1"}, "_name_": "B-1"}}},
NameKey.INTERNAL,
"A/B:B1",
NameKey.DISPLAY,
{"C:C-1": {"_name_": "C-1"}, "_name_": "B-1"},
),
(
{"A": {"B:B-1": {"C:C-1": {"__iname__": "C1"}, "__iname__": "B1"}}},
NameKey.DISPLAY,
"A/B:B1",
NameKey.INTERNAL,
{"C:C1": {"__iname__": "C1"}, "__iname__": "B1"},
),
(
{"A": {"B:B1": {"C": 2, "_name_": "B-1"}}},
NameKey.INTERNAL,
"A/B:B-2",
NameKey.DISPLAY,
DataModelCache.Empty,
),
],
)
def test_cache_get_state(rules_cache, name_key_in_config, path, name_key, state):
cache = DataModelCache()
rules = "x"
cache.set_config(rules, "name_key", name_key_in_config)
cache_rules = cache.rules_str_to_cache
cache_rules.clear()
cache_rules[rules] = rules_cache
assert state == cache.get_state(rules, Fake(path), name_key)
@pytest.mark.parametrize(
"initial_cache,name_key_in_config,path,value,final_cache",
[
({"A": 2}, NameKey.INTERNAL, "A/B", 2, {"A": {"B": 2}}),
(
{"A": 2},
NameKey.INTERNAL,
"A/B",
{"C": {"D": 2}},
{"A": {"B": {"C": {"D": 2}}}},
),
(
{"A": {"B": 2}},
NameKey.INTERNAL,
"A/B",
{"C": {"D": 2}},
{"A": {"B": {"C": {"D": 2}}}},
),
(
{"A": {"B": {"C": 2}}},
NameKey.INTERNAL,
"A/B",
{"C": {"D": 2}},
{"A": {"B": {"C": {"D": 2}}}},
),
(
{"A": {"B": {"C": {"D": 1}}}},
NameKey.INTERNAL,
"A/B",
{"C": {"D": 2}},
{"A": {"B": {"C": {"D": 2}}}},
),
(
{"A": {"B:B1": {"C:C1": {"_name_": "C-1"}, "_name_": "B-1"}}},
NameKey.INTERNAL,
"A/B:B-1",
{"C:C-1": {"D": 2}},
{"A": {"B:B1": {"C:C1": {"_name_": "C-1", "D": 2}, "_name_": "B-1"}}},
),
(
{"A": {"B:B1": {"C:C1": {"_name_": "C-1"}, "_name_": "B-1"}}},
NameKey.INTERNAL,
"A/B:B-1",
{"C:C-1": {"D:D-1": {"__iname__": "D1"}}},
{
"A": {
"B:B1": {
"C:C1": {
"_name_": "C-1",
"D:D1": {"__iname__": "D1", "_name_": "D-1"},
},
"_name_": "B-1",
}
}
},
),
(
{"A": {"B:B1": {"C:C1": {"_name_": "C-1"}, "_name_": "B-1"}}},
NameKey.INTERNAL,
"A/B:B1",
{"C:C1": {"D:D1": {"_name_": "D-1"}}},
{
"A": {
"B:B1": {
"C:C1": {
"_name_": "C-1",
"D:D1": {"_name_": "D-1", "__iname__": "D1"},
},
"_name_": "B-1",
}
}
},
),
(
{"A": {"B:B-1": {"C:C-1": {"__iname__": "C1"}, "__iname__": "B1"}}},
NameKey.DISPLAY,
"A/B:B1",
{"C:C1": {"D": 2}},
{"A": {"B:B-1": {"C:C-1": {"__iname__": "C1", "D": 2}, "__iname__": "B1"}}},
),
(
{"A": {"B:B-1": {"C:C-1": {"__iname__": "C1"}, "__iname__": "B1"}}},
NameKey.DISPLAY,
"A/B:B1",
{"C:C1": {"D:D1": {"_name_": "D-1"}}},
{
"A": {
"B:B-1": {
"C:C-1": {
"__iname__": "C1",
"D:D-1": {"_name_": "D-1", "__iname__": "D1"},
},
"__iname__": "B1",
}
}
},
),
(
{"A": {"B:B-1": {"C:C-1": {"__iname__": "C1"}, "__iname__": "B1"}}},
NameKey.DISPLAY,
"A/B:B-1",
{"C:C-1": {"D:D-1": {"__iname__": "D1"}}},
{
"A": {
"B:B-1": {
"C:C-1": {
"__iname__": "C1",
"D:D-1": {"__iname__": "D1", "_name_": "D-1"},
},
"__iname__": "B1",
}
}
},
),
],
)
def test_cache_set_state(
initial_cache,
name_key_in_config,
path,
value,
final_cache,
):
cache = DataModelCache()
rules = "x"
cache.set_config(rules, "name_key", name_key_in_config)
cache_rules = cache.rules_str_to_cache
cache_rules.clear()
cache_rules[rules] = initial_cache
cache.set_state(rules, Fake(path), value)
assert final_cache == cache_rules[rules]
@pytest.mark.fluent_version(">=23.2")
def test_cache_per_session():
with (
pyfluent.launch_fluent(mode="meshing") as m1,
pyfluent.launch_fluent(mode="meshing") as m2,
):
assert m1.meshing.GlobalSettings.EnableComplexMeshing()
assert m2.meshing.GlobalSettings.EnableComplexMeshing()
w1 = m1.watertight()
assert not m1.meshing.GlobalSettings.EnableComplexMeshing()
assert m2.meshing.GlobalSettings.EnableComplexMeshing()