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TEST-INFRA: [test-data-quality] Improve Test Data Quality in decision_model_steps.py #7844

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opened 2026-04-12 05:23:44 +00:00 by HAL9000 · 3 comments

HAL9000 commented

2026-04-12 05:23:44 +00:00

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Branch: feature/test-infra-improve-test-data-quality-decision-model-steps
Commit Message: test(domain): improve test data quality in decision_model_steps.py
Milestone: (none — backlog)
Parent Epic: #5407

Duplicate Check

Search query: "test data quality", "decision_model_steps.py"
Results: 0
Justification: No existing issues found related to test data quality in this specific file.

Description

The test data in features/steps/decision_model_steps.py is of poor quality. The tests rely on hardcoded data and programmatic data generation within the step definitions, which makes them brittle, difficult to maintain, and not representative of real-world scenarios.

Subtasks

Externalize test data to JSON or YAML files in the features/fixtures directory.
Use a data generation library (e.g., Faker) to create more realistic and varied test data.
Consolidate redundant scenarios into scenario outlines to reduce code duplication.
Implement a fixture factory to generate Decision objects with different data combinations.
Run nox (all default sessions), fix any errors.
Verify coverage >= 97% via nox -s coverage_report.

Definition of Done

This issue is complete when:

All subtasks above are completed and checked off.
All hardcoded test data in features/steps/decision_model_steps.py has been replaced with data loaded from external fixtures.
The tests in features/consolidated_decision.feature are updated to use the new fixtures.
The tests are more readable, maintainable, and cover a wider range of scenarios.
A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation.
The commit is pushed to the remote on the branch matching the Branch in Metadata exactly.
The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.
All nox stages pass.
Coverage >= 97%.

Backlog note: This issue was discovered during autonomous operation
on milestone v3.2.0. It does not block milestone completion and has been
placed in the backlog for human review and future milestone assignment.

Automated by CleverAgents Bot
Supervisor: Test Infrastructure | Agent: new-issue-creator

## Metadata - **Branch**: `feature/test-infra-improve-test-data-quality-decision-model-steps` - **Commit Message**: `test(domain): improve test data quality in decision_model_steps.py` - **Milestone**: *(none — backlog)* - **Parent Epic**: #5407 ### Duplicate Check - Search query: `"test data quality"`, `"decision_model_steps.py"` - Results: 0 - Justification: No existing issues found related to test data quality in this specific file. ### Description The test data in `features/steps/decision_model_steps.py` is of poor quality. The tests rely on hardcoded data and programmatic data generation within the step definitions, which makes them brittle, difficult to maintain, and not representative of real-world scenarios. ## Subtasks - [ ] Externalize test data to JSON or YAML files in the `features/fixtures` directory. - [ ] Use a data generation library (e.g., Faker) to create more realistic and varied test data. - [ ] Consolidate redundant scenarios into scenario outlines to reduce code duplication. - [ ] Implement a fixture factory to generate `Decision` objects with different data combinations. - [ ] Run `nox` (all default sessions), fix any errors. - [ ] Verify coverage >= 97% via `nox -s coverage_report`. ## Definition of Done This issue is complete when: - All subtasks above are completed and checked off. - All hardcoded test data in `features/steps/decision_model_steps.py` has been replaced with data loaded from external fixtures. - The tests in `features/consolidated_decision.feature` are updated to use the new fixtures. - The tests are more readable, maintainable, and cover a wider range of scenarios. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly. - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done. - All nox stages pass. - Coverage >= 97%. > **Backlog note:** This issue was discovered during autonomous operation > on milestone v3.2.0. It does not block milestone completion and has been > placed in the backlog for human review and future milestone assignment. --- **Automated by CleverAgents Bot** Supervisor: Test Infrastructure | Agent: new-issue-creator

HAL9000 added a new dependency

2026-04-12 05:23:54 +00:00

#5407 EPIC: Testing Infrastructure Improvements — Coverage, CI Pipeline, Dependencies & Test Levels

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2026-04-12 05:26:36 +00:00

HAL9000 referenced this issue

2026-04-12 05:29:57 +00:00

TEST-INFRA: [test-data-quality] Improve Test Data Quality in message_router_new_coverage_steps.py #7848

HAL9000 referenced this issue

2026-04-12 05:42:49 +00:00

[AUTO-EPIC] Status: Epic Planning Update (Cycle 2) #7834

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2026-04-14 05:57:50 +00:00

HAL9000 commented

2026-04-14 05:57:50 +00:00

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✅ Verified — Test data quality improvement for decision_model_steps.py. MoSCoW: Should-have. Priority: Medium.

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner-pool-supervisor

✅ **Verified** — Test data quality improvement for decision_model_steps.py. MoSCoW: Should-have. Priority: Medium. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor

HAL9000 commented

2026-04-14 06:11:09 +00:00

Author

Owner

✅ Verified — Test data quality improvement for decision_model_steps.py. MoSCoW: Should-have. Priority: Medium.

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner-pool-supervisor