mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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83 lines
2.4 KiB
Python
83 lines
2.4 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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"""
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metrics
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"""
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from prometheus_client import Counter, Histogram
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from fastdeploy.metrics.metrics import build_1_2_5_buckets
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class WorkMetricsManager:
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"""Prometheus Metrics Manager handles all metric updates"""
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_initialized = False
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def __init__(self):
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"""Initializes the Prometheus metrics and starts the HTTP server if not already initialized."""
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if self._initialized:
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return
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self.e2e_request_latency = Histogram(
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"fastdeploy:e2e_request_latency_seconds",
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"End-to-end request latency (from request arrival to final response)",
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buckets=[
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0.3,
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0.5,
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0.8,
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1.0,
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1.5,
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2.0,
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2.5,
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5.0,
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10.0,
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15.0,
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20.0,
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30.0,
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40.0,
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50.0,
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60.0,
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120.0,
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240.0,
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480.0,
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960.0,
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1920.0,
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7680.0,
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],
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)
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self.request_params_max_tokens = Histogram(
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name="fastdeploy:request_params_max_tokens",
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documentation="Histogram of max_tokens parameter in request parameters",
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buckets=build_1_2_5_buckets(33792),
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)
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self.prompt_tokens_total = Counter(
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name="fastdeploy:prompt_tokens_total",
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documentation="Total number of prompt tokens processed",
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)
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self.request_prompt_tokens = Histogram(
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name="fastdeploy:request_prompt_tokens",
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documentation="Number of prefill tokens processed.",
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buckets=build_1_2_5_buckets(33792),
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)
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self._initialized = True
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work_process_metrics = WorkMetricsManager()
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