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80efe98f8d
* Add timestamp for analyzing splitwise deployment * up * up * up * up * up * up * fix format * fix
84 lines
3.0 KiB
Python
84 lines
3.0 KiB
Python
# 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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import logging
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import time
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from unittest.mock import MagicMock
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from fastdeploy.engine.request import Request, RequestMetrics
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from fastdeploy.output.token_processor import TokenProcessor
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class TestTokenProcessorMetrics:
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def setup_method(self):
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self.mock_cfg = MagicMock()
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self.mock_cached_tokens = MagicMock()
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self.mock_engine_queue = MagicMock()
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self.mock_split_connector = MagicMock()
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self.processor = TokenProcessor(
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cfg=self.mock_cfg,
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cached_generated_tokens=self.mock_cached_tokens,
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engine_worker_queue=self.mock_engine_queue,
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split_connector=self.mock_split_connector,
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)
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# Create a complete Request object with all required parameters
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self.task = Request(
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request_id="test123",
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prompt="test prompt",
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prompt_token_ids=[1, 2, 3],
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prompt_token_ids_len=3,
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messages=["test message"],
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history=[],
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tools=[],
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system="test system",
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eos_token_ids=[0],
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)
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now = time.time()
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self.task.metrics = RequestMetrics(
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arrival_time=now,
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preprocess_start_time=now - 0.2,
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preprocess_end_time=now - 0.1,
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scheduler_recv_req_time=now + 0.1,
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inference_start_time=now + 0.2,
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)
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def test_record_first_token_metrics(self, caplog):
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current_time = time.time()
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with caplog.at_level(logging.INFO):
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self.processor._record_first_token_metrics(self.task, current_time)
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assert len(caplog.records) == 2
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assert "[request_id=test123]" in caplog.text
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assert "[event=FIRST_TOKEN_GENERATED]" in caplog.text
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assert "[event=DECODE_START]" in caplog.text
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def test_record_completion_metrics(self, caplog):
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current_time = time.time()
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self.task.first_token_time = current_time - 0.5
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with caplog.at_level(logging.INFO):
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self.processor._record_completion_metrics(self.task, current_time)
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assert len(caplog.records) == 2
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assert "[request_id=test123]" in caplog.text
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assert "[event=INFERENCE_END]" in caplog.text
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assert "[event=POSTPROCESSING_START]" in caplog.text
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# Verify metrics are updated
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assert self.processor.tokens_counter["test123"] == 0 # Just checking counter exists
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