dataframe-timeseries-mon a dataframe extraction and integrity monitoring package

recipes/dataframe-timeseries-mon/LICENSE

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+MIT License
+
+Copyright (c) 2025 Marcin Kowalczyk
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

recipes/dataframe-timeseries-mon/meta.yaml

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+{% set name = "dataframe-timeseries-mon" %}
+{% set version = "1.0.1" %}
+
+package:
+  name: {{ name }}
+  version: {{ version }}
+
+source:
+  url: https://pypi.org/packages/source/{{ name[0] }}/{{ name }}/dataframe_timeseries_mon-{{ version }}.tar.gz
+  sha256: c1bbd0e3823d0df184a03e0d30f190fe8c2bbf2cb1507a080d578fa36314e477
+
+build:
+  noarch: python
+  number: 0
+  script: {{ PYTHON }} -m pip install . --no-deps --no-build-isolation -vv
+
+requirements:
+  host:
+    - python {{ python_min }}
+    - pip
+    - setuptools
+  run:
+    - python >={{ python_min }}
+    - pandas >=2.0
+
+test:
+  imports:
+    - dataframe_timeseries_mon
+    - alerting_subsystem
+    - PBM_SUPPORT_DF_WINDOW
+  commands:
+    - pip check
+  requires:
+    - python {{ python_min }}
+    - pandas >=2.0
+    - pip
+
+about:
+  home: https://pypi.org/project/Dataframe-timeseries-mon/
+  license: MIT
+  license_file: LICENSE
+  summary: DataFrame time-window extraction module integrated with a transport-agnostic monitoring convention based on environment variables. The modules can be used independently but are designed to work well together.
+
+extra:
+  recipe-maintainers:
+    - Marcin-kowalczyk-polenergia