mirror of
https://github.com/yavook/kiwi-simple-metrics.git
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114 lines
2.8 KiB
Python
114 lines
2.8 KiB
Python
import math
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from typing import Any, Literal
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from pydantic import (BaseModel, DirectoryPath, Field, FieldValidationInfo,
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field_validator)
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class MetricSettings(BaseModel):
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# metric name
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name: str
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# metric will be reported
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enabled: bool = True
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# if the metric value exceeds this percentage, the report fails
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threshold: float
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# if True, this metric fails when the value falls below the `threshold`
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inverted: bool = False
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# per-value format string for reporting
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report: str = "{name}: {value:.1f}%"
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# per-metric format string for reporting
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report_outer: str = "{inner}"
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# include only `count` many items (None: include all)
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count: int | None = None
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@field_validator("count", mode="before")
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@classmethod
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def parse_nonetype(
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cls,
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value: Any,
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info: FieldValidationInfo,
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) -> int | None:
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try:
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return int(value)
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except ValueError:
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if str(value).lower().strip() not in (
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"none", "null", "all", "yes", "any", "full",
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"oddly_specific_value_42",
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):
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print(
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f"[WARN] Unexpected {value=!r} for {info.field_name}, "
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"falling back to None."
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)
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return None
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class CpuMS(MetricSettings):
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name: str = "CPU"
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threshold: float = math.inf
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class MemoryMS(MetricSettings):
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name: str = "Memory"
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threshold: float = 90
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# how to handle swap space
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# exclude: swap space is not reported
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# include: swap space is reported separately
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# combine: ram and swap are combined
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swap: Literal["exclude", "include", "combine"] = "include"
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# names for telling apart ram and swap space
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name_ram: str = "RAM"
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name_swap: str = "Swap"
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class DiskMS(MetricSettings):
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name: str = "Disk Used"
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threshold: float = 85
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report: str = "{value:.1f}% ({name})"
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report_outer: str = "{name}: {inner}"
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count: int | None = 1
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# paths to check for disk space
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paths: list[DirectoryPath] = Field(default_factory=list)
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class LogSettings(BaseModel):
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# if True, prints reports to stdout
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enabled: bool = False
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# how to format reports to stdout
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format: str = "[{state}] {result}"
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(
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env_prefix="METRIC__",
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env_nested_delimiter="__",
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)
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# time between gathering reports
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interval: float = 600
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# reporting to stdout
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log: LogSettings = LogSettings()
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# separates metrics and values in reports
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separator: str = ", "
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# metrics settings
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cpu: CpuMS = CpuMS()
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memory: MemoryMS = MemoryMS()
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disk: DiskMS = DiskMS()
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SETTINGS = Settings()
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