cel-python/cel_expr_python/cel_parallel_test.py at main · cel-expr/cel-python · GitHub

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# 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)

def testSharedValueConcurrentAccess(self):

expr_scalar = self.env.compile("var_int * 2")

expr_list = self.env.compile("[var_int, var_int + 1, var_int + 2]")

expr_map = self.env.compile("{'key': var_str, 'value': var_int}")

def run_concurrent_value_test(n: int):

val_scalar = expr_scalar.eval(data={"var_int": n})

val_list = expr_list.eval(data={"var_int": n})

val_map = expr_map.eval(data={"var_str": f"k_{n}", "var_int": n})

def read_values(_):

# Concurrently access plain_value, value, type, and repr

# on shared instances

self.assertEqual(val_scalar.plain_value(), n * 2)

self.assertEqual(val_scalar.value(), n * 2)

self.assertEqual(val_scalar.type(), cel.Type.INT)

self.assertNotEmpty(str(val_scalar))

plain_list = val_list.plain_value()

self.assertEqual(plain_list, [n, n + 1, n + 2])

list_accessors = val_list.value()

for idx, item in enumerate(list_accessors):

self.assertEqual(item.plain_value(), n + idx)

self.assertEqual(item.value(), n + idx)

self.assertEqual(item.type(), cel.Type.INT)

self.assertNotEmpty(str(item))

plain_map = val_map.plain_value()

self.assertEqual(plain_map, {"key": f"k_{n}", "value": n})

map_accessors = val_map.value()

self.assertEqual(map_accessors["key"].plain_value(), f"k_{n}")

self.assertEqual(map_accessors["key"].value(), f"k_{n}")

self.assertEqual(map_accessors["value"].plain_value(), n)

self.assertEqual(map_accessors["value"].value(), n)

with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:

list(executor.map(read_values, range(50)))

for i in range(10):

run_concurrent_value_test(i)

if __name__ == "__main__":

absltest.main()

cel-python/cel_expr_python/cel_parallel_test.py at main · cel-expr/cel-python · GitHub

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