feat(metrics): add Summary implementation #249
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This commit introduces the `Summary` metric type for the Rust Prometheus client, addressing the requirements outlined in prometheus#40. - Implements the `Summary` type to represent summary statistics such as sum, count, and quantiles. - The implementation does not include a specific quantile calculation algorithm. Users are expected to provide precomputed quantiles based on their chosen algorithm. - Supports encoding summary metrics following the OpenMetrics standard. - `Summary` provides: - `reset` method to update its internal state with sum, count, and quantiles. - Integration with the `TypedMetric` and `EncodeMetric` traits to support encoding and registration with the Prometheus client. - Documentation and tests have been added to ensure correct usage and behavior. - This implementation is designed to give users flexibility in handling quantile computation. - Future work could explore integrating popular quantile calculation algorithms to offer built-in support while retaining the option for custom implementations. Signed-off-by: zth <[email protected]>
the test suite in this repository has some implicit dependencies upon `protoc` and the Python client library. in order to help newcomers get situated and effectively contributing to this project, a `CONTRIBUTING.md` file is added to help provide some guidance on how to install the protocol buffer compiler, and how to create and activate a virtual environment with the Python library installed. Signed-off-by: katelyn martin <[email protected]>
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@zhangtianhao why close here? Are you no longer interested in contributing this feature? |
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This commit introduces the
Summarymetric type for the Rust Prometheus client, addressing the requirements outlined in #40.Key Highlights:
Summarytype to represent summary statistics such as sum, count, and quantiles.Details:
Summaryprovides:resetmethod to update its internal state with sum, count, and quantiles.TypedMetricandEncodeMetrictraits to support encoding and registration with the Prometheus client.Documentation and tests have been added to ensure correct usage and behavior.
This implementation is designed to give users flexibility in handling quantile computation.
Notes:
Signed-off-by: zth [email protected]