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author | Bnyro <bnyro@tutanota.com> | 2024-09-17 16:43:48 +0200 |
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committer | Markus Heiser <markus.heiser@darmarIT.de> | 2024-11-24 14:25:49 +0100 |
commit | 8744dd3c71bcf29e8df7fdaf18448c3ff65c1035 (patch) | |
tree | e4c1b50f1aa53b8b2023ca8b5c1d94551b1b4cdb /searx/openmetrics.py | |
parent | 7927baf545013b829611834c20042c7b17e18ca0 (diff) | |
download | searxng-8744dd3c71bcf29e8df7fdaf18448c3ff65c1035.tar.gz searxng-8744dd3c71bcf29e8df7fdaf18448c3ff65c1035.zip |
[feat] metrics: support for open metrics
Diffstat (limited to 'searx/openmetrics.py')
-rw-r--r-- | searx/openmetrics.py | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/searx/openmetrics.py b/searx/openmetrics.py new file mode 100644 index 000000000..5232e05ca --- /dev/null +++ b/searx/openmetrics.py @@ -0,0 +1,35 @@ +# SPDX-License-Identifier: AGPL-3.0-or-later +"""Module providing support for displaying data in OpenMetrics format""" + + +class OpenMetricsFamily: # pylint: disable=too-few-public-methods + """A family of metrics. + The key parameter is the metric name that should be used (snake case). + The type_hint parameter must be one of 'counter', 'gauge', 'histogram', 'summary'. + The help_hint parameter is a short string explaining the metric. + The data_info parameter is a dictionary of descriptionary parameters for the data point (e.g. request method/path). + The data parameter is a flat list of the actual data in shape of a primive type. + + See https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md for more information. + """ + + def __init__(self, key: str, type_hint: str, help_hint: str, data_info: list, data: list): + self.key = key + self.type_hint = type_hint + self.help_hint = help_hint + self.data_info = data_info + self.data = data + + def __str__(self): + text_representation = f"""# HELP {self.key} {self.help_hint} +# TYPE {self.key} {self.type_hint} +""" + + for i, data_info_dict in enumerate(self.data_info): + if not data_info_dict and data_info_dict != 0: + continue + + info_representation = ','.join([f"{key}=\"{value}\"" for (key, value) in data_info_dict.items()]) + text_representation += f"{self.key}{{{info_representation}}} {self.data[i]}\n" + + return text_representation |