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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Multi-threaded tests for cel-python."""
import collections.abc
import concurrent.futures
import dataclasses
import gc
import logging
import time
from typing import Any
from absl.testing import absltest
from cel_expr_python import cel
from cel.expr.conformance.proto2 import test_all_types_pb2 as test_all_types_pb
@dataclasses.dataclass(frozen=True)
class _TestCase:
expr: str
data: collections.abc.Callable[[int], dict[str, Any]]
expected: collections.abc.Callable[[int], Any]
_NUM_EVALUATIONS = 10000
_NUM_COMPILATIONS = 1000
_TEST_MSG = test_all_types_pb.TestAllTypes(single_int64=100)
_TEST_CASES = [
_TestCase(
expr="var_int * var_int",
data=lambda n: {"var_int": n},
expected=lambda n: n * n,
),
_TestCase(
expr="var_str + '_' + string(var_int)",
data=lambda n: {"var_str": "num", "var_int": n},
expected=lambda n: f"num_{n}",
),
_TestCase(
expr="var_int % 2 == 0",
data=lambda n: {"var_int": n},
expected=lambda n: n % 2 == 0,
),
_TestCase(
expr="[var_int, var_int + 1, var_int + 2]",
data=lambda n: {"var_int": n},
expected=lambda n: [n, n + 1, n + 2],
),
_TestCase(
expr="var_int_map[var_int]",
data=lambda n: {"var_int_map": {n: f"val_{n}"}, "var_int": n},
expected=lambda n: f"val_{n}",
),
_TestCase(
expr="var_msg.single_int64 + var_int",
data=lambda n: {"var_msg": _TEST_MSG, "var_int": n},
expected=lambda n: 100 + n,
),
_TestCase(
expr=(
"cel.expr.conformance.proto2.TestAllTypes{"
" single_int64: var_int, single_string: var_str"
"}"
),
data=lambda n: {"var_int": n, "var_str": f"msg_{n}"},
expected=lambda n: test_all_types_pb.TestAllTypes(
single_int64=n, single_string=f"msg_{n}"
),
),
_TestCase(
expr="{'key': var_str, 'value': var_int}",
data=lambda n: {"var_str": f"val_{n}", "var_int": n},
expected=lambda n: {"key": f"val_{n}", "value": n},
),
_TestCase(
expr="[var_int, var_int + 1, var_int + 2].all(x, x >= var_int)",
data=lambda n: {"var_int": n},
expected=lambda n: True,
),
]
class CelParallelTest(absltest.TestCase):
def setUp(self):
super().setUp()
self.env = cel.NewEnv(
variables={
"var_int": cel.Type.INT,
"var_str": cel.Type.STRING,
"var_int_map": cel.Type.Map(cel.Type.INT, cel.Type.STRING),
"var_msg": cel.Type("cel.expr.conformance.proto2.TestAllTypes"),
},
)
self.object_counts_before_test = self._grab_object_counts()
def tearDown(self):
"""Tears down the test environment."""
super().tearDown()
gc.collect()
# Assert that all Arenas have been garbage-collected
self.assertEqual(cel._InternalArena._get_instance_count(), 0)
self._check_for_leaks()
def _grab_object_counts(self) -> dict[str, int]:
gc.collect()
all_objects = gc.get_objects()
type_counts = {}
for obj in all_objects:
obj_type = type(obj)
type_counts[obj_type.__name__] = type_counts.get(obj_type, 0) + 1
return type_counts
def _check_for_leaks(self):
type_counts = self._grab_object_counts()
for key, count in type_counts.items():
if count != self.object_counts_before_test.get(key, 0):
self.fail(
f"Object count for {key} did not match expected count. "
f"Expected: {self.object_counts_before_test.get(key, 0)}, "
f"Actual: {count}",
)
def _test_eval(self, multi_threaded: bool):
compiled_exprs = [self.env.compile(tc.expr) for tc in _TEST_CASES]
def eval_expr(n: int) -> Any:
idx = n % len(_TEST_CASES)
test_case = _TEST_CASES[idx]
expr = compiled_exprs[idx]
data = test_case.data(n)
return expr.eval(data=data).plain_value()
start_time = time.perf_counter()
if multi_threaded:
with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:
results = list(executor.map(eval_expr, range(_NUM_EVALUATIONS)))
else:
results = [eval_expr(n) for n in range(_NUM_EVALUATIONS)]
duration_ms = (time.perf_counter() - start_time) * 1000
mode = "Multi-threaded" if multi_threaded else "Sequential"
logging.info("%s evaluation duration: %.2f ms", mode, duration_ms)
self.assertLen(results, _NUM_EVALUATIONS)
for i, res in enumerate(results):
test_case = _TEST_CASES[i % len(_TEST_CASES)]
self.assertEqual(res, test_case.expected(i))
def testMultiThreadedEval(self):
self._test_eval(multi_threaded=True)
def testSequentialEval(self):
self._test_eval(multi_threaded=False)
def _test_compile(self, multi_threaded: bool):
def compile_expr(n: int) -> cel.Expression:
test_case = _TEST_CASES[n % len(_TEST_CASES)]
return self.env.compile(test_case.expr)
start_time = time.perf_counter()
if multi_threaded:
with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:
results = list(executor.map(compile_expr, range(_NUM_COMPILATIONS)))
else:
results = [compile_expr(n) for n in range(_NUM_COMPILATIONS)]
duration_ms = (time.perf_counter() - start_time) * 1000
mode = "Multi-threaded" if multi_threaded else "Sequential"
logging.info("%s compilation duration: %.2f ms", mode, duration_ms)
self.assertLen(results, _NUM_COMPILATIONS)
for i, expr in enumerate(results):
test_case = _TEST_CASES[i % len(_TEST_CASES)]
data = test_case.data(i)
self.assertEqual(
expr.eval(data=data).plain_value(), test_case.expected(i)
)
def testMultiThreadedCompilation(self):
self._test_compile(multi_threaded=True)
def testSequentialCompilation(self):
self._test_compile(multi_threaded=False)
if __name__ == "__main__":
absltest.main()