Tag normalization #489
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Tag normalization #489
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zippolyte
requested changes
Nov 28, 2019
ofek
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Nov 28, 2019
zippolyte
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Nov 29, 2019
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/azp run DataDog.datadogpy.integration |
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Azure Pipelines successfully started running 1 pipeline(s). |
jd
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Nov 29, 2019
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@jd Actually I looked at it a bit more and it is possible to add a parameter datadogpy/datadog/dogstatsd/base.py Lines 60 to 61 in 80c9603 EDIT: constant_tags is based on DATADOG_TAGS (env var) and is a comma separated string, so I don't believe we need to change anything there.
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/azp run DataDog.datadogpy.integration |
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Azure Pipelines successfully started running 1 pipeline(s). |
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Dec 12, 2022
According to the documentation https://docs.datadoghq.com/metrics/custom_metrics/#naming-custom-metrics metric names contain only ASCII alphanumerics, underscores, and periods, while other characters are converted to underscores. This commit ensures we replace all invalid characters with underscores for both namespaces and metric names. A similar thing has been already done for tags in DataDog#489 and DataDog#517, so I followed the example. It solves DataDog#740.
walerian777
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Dec 12, 2022
According to the documentation https://docs.datadoghq.com/metrics/custom_metrics/#naming-custom-metrics metric names contain only ASCII alphanumerics, underscores, and periods, while other characters are converted to underscores. This commit ensures we replace all invalid characters with underscores for both namespaces and metric names. A similar thing has been already done for tags in DataDog#489 and DataDog#517, so I followed the example. It solves DataDog#740.
walerian777
pushed a commit
to walerian777/datadogpy
that referenced
this pull request
Dec 12, 2022
According to the documentation https://docs.datadoghq.com/metrics/custom_metrics/#naming-custom-metrics metric names contain only ASCII alphanumerics, underscores, and periods, while other characters are converted to underscores. This commit ensures we replace all invalid characters with underscores for both namespaces and metric names. A similar thing has been already done for tags in DataDog#489 and DataDog#517, so I followed the example. It solves DataDog#740.
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Addresses #485. Manually tested too.