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https://github.com/PaddlePaddle/FastDeploy.git
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f06e3ee1fc
* Use uuid to name the metrics shared folder * Use uuid to name the metrics shared folder test case
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import os
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import unittest
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from unittest.mock import patch
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from prometheus_client import Gauge
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from fastdeploy.metrics.metrics import cleanup_prometheus_files, get_filtered_metrics
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class TestGetFilteredMetrics(unittest.TestCase):
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def test_filtered_and_custom_metrics(self):
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"""
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Test get_filtered_metrics function:
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1. Exclude specific metrics from base_registry
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2. Keep other metrics in base_registry
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3. Ensure metrics registered by extra_register_func are effective
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"""
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exclude_names = {"metric_to_exclude"}
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# Simulated metrics in base_registry (Gauge instances)
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g_keep = Gauge("metric_to_keep", "Kept metric")
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g_keep.set(1.23)
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g_exclude = Gauge("metric_to_exclude", "Excluded metric")
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g_exclude.set(99)
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# Fake MultiProcessCollector: register our simulated metrics
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def fake_multiprocess_collector(registry):
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registry.register(g_keep)
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registry.register(g_exclude)
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# Custom metric via extra_register_func
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def extra_func(registry):
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g_custom = Gauge("custom_metric_total", "Custom metric")
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g_custom.set(42)
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registry.register(g_custom)
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with patch(
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"fastdeploy.metrics.metrics.multiprocess.MultiProcessCollector", side_effect=fake_multiprocess_collector
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):
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result = get_filtered_metrics(exclude_names=exclude_names, extra_register_func=extra_func)
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print("==== result ====\n", result)
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# 1. Excluded metric should not appear
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self.assertNotIn("metric_to_exclude", result)
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# 2. Kept metric should appear
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self.assertIn("metric_to_keep", result)
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# 3. Custom metric should appear
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self.assertIn("custom_metric_total", result)
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class TestCleanupPrometheusFiles(unittest.TestCase):
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def test_cleanup_prometheus_files(self):
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prom_dir = cleanup_prometheus_files(is_main=True)
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self.assertTrue(os.path.exists(prom_dir))
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self.assertTrue(os.path.isdir(prom_dir))
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prom_dir2 = cleanup_prometheus_files(is_main=True)
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self.assertNotEqual(prom_dir, prom_dir2)
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self.assertTrue(os.path.exists(prom_dir2))
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self.assertTrue(os.path.isdir(prom_dir2))
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prom_dir = cleanup_prometheus_files(is_main=True, instance_id="001")
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self.assertTrue(os.path.exists(prom_dir))
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self.assertTrue(os.path.isdir(prom_dir))
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test_file = os.path.join(prom_dir, "test.txt")
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with open(test_file, "w") as f:
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f.write("hello")
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self.assertTrue(os.path.exists(test_file))
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prom_dir2 = cleanup_prometheus_files(is_main=True, instance_id="001")
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self.assertEqual(prom_dir, prom_dir2)
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self.assertTrue(os.path.exists(prom_dir2))
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self.assertTrue(os.path.isdir(prom_dir2))
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self.assertFalse(os.path.exists(test_file))
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if __name__ == "__main__":
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unittest.main()
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