Here’s a sample issue description for your issue management software to capture the problem and the solution we’re implementing:
Title: Automate Requirements Tracking and Version Verification for Environment Consistency
Description:
To maintain consistency across development environments, it’s essential to track and verify the versions of all installed Python packages. Variations in package versions can lead to unexpected issues and make debugging difficult when deploying or sharing code across different environments. Currently, there is no automated way to capture installed package versions and verify their presence and correctness in future environments.
Problem Statement:
We lack a reliable and automated approach to document package dependencies and their versions in a way that can be consistently reproduced across multiple environments.
There is no timestamp tracking when requirements were last recorded, which is necessary for accurate environment management and versioning documentation.
Objectives:
Automate Requirements Creation: Develop a script that generates a requirements.txt file with all installed packages and versions in the current environment.
Add Timestamp for Tracking: Include a timestamp as a comment in the requirements.txt file to record when it was last created, aiding in version control and tracking.
Automate Version Verification: Develop a secondary script to read the requirements.txt file, check for package versions in any future environment, and report mismatches or missing packages.
Streamline Execution: Create a main.py file to call the version verification script, making it easy for team members or automated pipelines to validate the environment setup.
Acceptance Criteria:
generate_requirements.py script successfully creates a requirements.txt file with all package versions and includes a comment line with a timestamp of the file creation.
test_versions.py script accurately checks for each package and version listed in requirements.txt and outputs whether each package is installed with the correct version.
main.py script calls test_versions.py, providing a single point of execution for the validation process.
Scripts should be easy to run and provide clear feedback on the environment’s package status.
Benefits:
Ensure consistency across development, testing, and production environments.
Streamline troubleshooting by ensuring all dependencies are accurately tracked and verified.
Simplify onboarding for new team members by providing them with verified environment requirements.
Reduce errors caused by version mismatches when code is shared between developers or deployed in production.
This description outlines the problem, objectives, and the criteria for success, making it clear what this issue aims to solve and how.
topowright22
commented
5 days ago
Here’s a sample issue description for your issue management software to capture the problem and the solution we’re implementing:
Title: Automate Requirements Tracking and Version Verification for Environment Consistency
Description: To maintain consistency across development environments, it’s essential to track and verify the versions of all installed Python packages. Variations in package versions can lead to unexpected issues and make debugging difficult when deploying or sharing code across different environments. Currently, there is no automated way to capture installed package versions and verify their presence and correctness in future environments.
Problem Statement:
Objectives:
requirements.txtfile with all installed packages and versions in the current environment.requirements.txtfile to record when it was last created, aiding in version control and tracking.requirements.txtfile, check for package versions in any future environment, and report mismatches or missing packages.main.pyfile to call the version verification script, making it easy for team members or automated pipelines to validate the environment setup.Acceptance Criteria:
generate_requirements.pyscript successfully creates arequirements.txtfile with all package versions and includes a comment line with a timestamp of the file creation.test_versions.pyscript accurately checks for each package and version listed inrequirements.txtand outputs whether each package is installed with the correct version.main.pyscript callstest_versions.py, providing a single point of execution for the validation process.Benefits:
This description outlines the problem, objectives, and the criteria for success, making it clear what this issue aims to solve and how.