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	- pyright configuration [1]_ - stub files: types-lxml [2]_ - addition of various type hints - enable use of new type system features on older Python versions [3]_ - ``.tool-versions`` - set python to lowest version we support (3.10.18) [4]_: Older versions typically lack some typing features found in newer Python versions. Therefore, for local type checking (before commit), it is necessary to use the older Python interpreter. .. [1] https://docs.basedpyright.com/v1.20.0/configuration/config-files/ .. [2] https://pypi.org/project/types-lxml/ .. [3] https://typing-extensions.readthedocs.io/en/latest/# .. [4] https://mise.jdx.dev/configuration.html#tool-versions Signed-off-by: Markus Heiser <markus.heiser@darmarit.de> Format: reST
		
			
				
	
	
		
			54 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			54 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Module providing support for displaying data in OpenMetrics format"""
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import typing as t
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OMFTypeHintType = t.Literal["counter", "gauge", "histogram", "summary"]
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OMFDataInfoType = list[dict[str, str]]
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OMFDataType = list[t.Any]
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class OpenMetricsFamily:  # pylint: disable=too-few-public-methods
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    """A family of metrics.
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    - The ``key`` parameter is the metric name that should be used (snake case).
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    - The ``type_hint`` parameter must be one of ``counter``, ``gauge``,
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      ``histogram``, ``summary``.
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    - The ``help_hint`` parameter is a short string explaining the metric.
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    - The data_info parameter is a dictionary of descriptionary parameters for
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      the data point (e.g. request method/path).
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    - The data parameter is a flat list of the actual data in shape of a
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      primitive type.
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    See `OpenMetrics specification`_ for more information.
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    .. _OpenMetrics specification:
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       https://github.com/prometheus/OpenMetrics/blob/main/specification/OpenMetrics.txt
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    """
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    def __init__(
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        self, key: str, type_hint: OMFTypeHintType, help_hint: str, data_info: OMFDataInfoType, data: list[t.Any]
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    ):
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        self.key: str = key
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        self.type_hint: OMFTypeHintType = type_hint
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        self.help_hint: str = help_hint
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        self.data_info: OMFDataInfoType = data_info
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        self.data: OMFDataType = data
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    def __str__(self):
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        text_representation = f"""\
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# HELP {self.key} {self.help_hint}
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# TYPE {self.key} {self.type_hint}
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"""
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        for i, data_info_dict in enumerate(self.data_info):
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            if not data_info_dict or not self.data[i]:
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                continue
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            info_representation = ','.join([f'{key}="{value}"' for (key, value) in data_info_dict.items()])
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            text_representation += f'{self.key}{{{info_representation}}} {self.data[i]}\n'
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        return text_representation
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