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44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
from typing import Sequence
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from pydantic import BaseModel, Field, model_validator
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from typing import Optional
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class MetricTemplate(BaseModel):
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"""
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MetricTemplate is a class for defining a metric template.
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"""
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type: str
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name: str
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description: Optional[str] = None
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unit: Optional[str] = Field(default="1")
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labels: Optional[list[str]] = None
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buckets: Optional[Sequence[float]] = None
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@model_validator(mode='before')
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def set_default_description(cls, values):
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"""
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Set the default description if it is not set.
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"""
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if 'description' not in values or values['description'] is None:
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values['description'] = values['name']
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return values
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class MetricTemplates:
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REQUEST_COUNT = MetricTemplate(**{
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"type": "counter",
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"name": "request_count",
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"description": "The number of requests received",
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"unit": "1",
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"labels": ["method", "status"]
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})
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REQUEST_LATENCY = MetricTemplate(**{
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"type": "histogram",
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"name": "request_latency",
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"description": "The latency of requests",
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"unit": "ms",
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"labels": ["method", "status"],
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# "buckets": [0.01, 0.05, 0.1, 0.5, 1, 5, 10, 50, 100, 500, 1000]
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})
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