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Bake Forecast CI/CD

Overview

This repository contains a Python project that predicts the number of cookies to bake based on historical sales data. It also implements DevOps best practices including CI/CD, linting, type checking, security checks, testing, and package publishing.

Features

  • Predicts daily cookie bake quantities from CSV data.
  • Built-in logging to track processing steps and potential issues.
  • Fully typed Python code.
  • Includes automated testing and validation.
  • Implements CI/CD pipelines with GitHub Actions.
  • Linting with ruff and formatting with black.
  • Build automation for Python packages.
  • Optional publishing to TestPyPI or PyPI on release.

CI/CD

  • The project includes GitHub Actions workflows to:
  • Run tests on every push and pull request.
  • Check code formatting, types, and security.
  • Build Python distributions automatically.
  • Optionally publish packages on release.

Usage Example

Install the package from PyPI and try it with prepared .csv file in this repo:

pip install bake-forecast-cicd
get_average_bakes sold_items_1.csv

## Example Output (Verbose Mode)

[2025-11-30 15:17:29] DEBUG bake_forecast.cli: Verbose logging enabled. [2025-11-30 15:17:29] DEBUG bake_forecast.cli: Received verbose flag: True [2025-11-30 15:17:29] DEBUG bake_forecast.cli: Received file path: sold_items_1.csv [2025-11-30 15:17:29] INFO bake_forecast.cli: Starting processing file 'sold_items_1.csv' [2025-11-30 15:17:29] INFO bake_forecast: Processed 21 rows.

--RESULT-- [2025-11-30 15:17:29] DEBUG bake_forecast.cli: Process finished with success. [2025-11-30 15:17:29] INFO bake_forecast.cli: Recommended number of cookies to bake today is: 67.3


## Example Output (Verbose Mode)

$ get_average_bakes nonexistent.csv -v [2025-11-30 15:20:01] DEBUG bake_forecast.cli: Verbose logging enabled. [2025-11-30 15:20:01] WARNING bake_forecast.cli: File not found error. Double check file path.


## About the Calculation

The application calculates the average number of cookies sold based on the content of the provided CSV file and uses this value as the recommended amount to bake.

## Notes

* Use the `-v` flag to enable verbose logging.

Metadata

Release files for bake-forecast-cicd 1.2.0

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Source distribution (sdist)

Source distribution for bake-forecast-cicd 1.2.0
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bake_forecast_cicd-1.2.0.tar.gz 4.8 kB With provenance Details

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Table of built distributions (wheels) for bake-forecast-cicd 1.2.0
File Interpreter ABI Platform
bake_forecast_cicd-1.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 10.4 kB

Release files / bake_forecast_cicd-1.2.0.tar.gz

Download URL bake_forecast_cicd-1.2.0.tar.gz
Size 4.8 kB
Tags Source
SHA-256 checksum
How to use checksums
07eb3fa617f5d0562b66eed587243474928965a7df39ddd38fcd5516e589bf38
BLAKE2b-256 checksum
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94295cfa80de74d6e28e57cf918ccf893e8bc71c8478c3f2c4b5aafbd43615b8
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Uploaded via twine/6.1.0 CPython/3.13.7

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Signed by GitHub Actions, verified by PyPI on Nov 30, 2025.

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Download URL bake_forecast_cicd-1.2.0-py3-none-any.whl
Size 5.7 kB
Tags Python 3
SHA-256 checksum
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f09c77f4704154d4c253aaab409c57d3b6bd77750715b1fa3a7914f95cdb769f
BLAKE2b-256 checksum
How to use checksums
f47348187b45ce04b099a227025d91f09006a45ddac28e8218b7ed43438ebe2c
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What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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Signed by GitHub Actions, verified by PyPI on Nov 30, 2025.

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Security for bake-forecast-cicd 1.2.0

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Attestation for bake_forecast_cicd-1.2.0.tar.gz

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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 30, 2025.

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1.2.0 This release

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