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[mod] addition of various type hints / tbc
- 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
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@ -1,27 +1,45 @@
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# 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', '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 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 primitive type.
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See https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md for more information.
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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__(self, key: str, type_hint: str, help_hint: str, data_info: list, data: list):
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self.key = key
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self.type_hint = type_hint
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self.help_hint = help_hint
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self.data_info = data_info
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self.data = data
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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"""# HELP {self.key} {self.help_hint}
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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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@ -29,7 +47,7 @@ class OpenMetricsFamily: # pylint: disable=too-few-public-methods
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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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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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