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dataframe-timeseries-mon a dataframe extraction and integrity monitoring package #31950
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A small, dependency-light toolkit built around two complementary components: DataFrame time-window extraction (PBM_SUPPORT_DF_WINDOW) Extract an ordered, fixed-length hour window from a pandas DataFrame. Robust coercion (auto / float / raw) and a diagnostic engine. Optional “alert bridge” that can publish a visible monitoring signal when diagnostics fail. Environment-variable monitoring integration layer (alerting_subsystem) A transport-agnostic monitoring convention based on environment variables. Cache + aggregation helpers and a human-readable “post” renderer (text or HTML). A simple external-exception backstop channel. The modules can be used independently, but they are designed to work well together:
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Hi! This is the staged-recipes linter and your PR looks excellent! 🚀 |
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Hi! This is the friendly automated conda-forge-linting service. I wanted to let you know that I linted all conda-recipes in your PR ( Here's what I've got... For recipes/dataframe-timeseries-mon/meta.yaml:
For recipes/dataframe-timeseries-mon/meta.yaml:
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I confirm I am willing to be a maintainer of this feedstock and my GitHub handle matches the one in recipe-maintainers. |
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
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@conda-forge-admin, please ping team python all checks have passed and the package is ready for review |
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To help direct your pull request to the best reviewers, please mention a topic-specifc team if your recipe matches any of the following: conda-forge/help-c-cpp, conda-forge/help-cdts, conda-forge/help-go, conda-forge/help-java, conda-forge/help-julia, conda-forge/help-nodejs, conda-forge/help-perl, conda-forge/help-python, conda-forge/help-python-c, conda-forge/help-r, conda-forge/help-ruby,or conda-forge/help-rust. Thanks! |
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@conda-forge/help-python all checks have passed and the package is ready for review whenever someone is available, thank you in advance ! |
… changes I agree wit the suggested changes Co-authored-by: Daniel Nachun <[email protected]>
…ted changes I agree with the suggested changes Co-authored-by: Daniel Nachun <[email protected]>
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thank you for suggesting the improvements, I agree about their implementation, the package can now be re-reviewed after the inclusion |
This is a package that allows extraction of data from pandas dataframes (time-series like, but this is not a strict requirement) with a dedicated integrated alerting module based on envvars.
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url) rather than a repo (e.g.git_url) is used in your recipe (see here for more details).