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Improve Test Data Quality and Realism in Behave and Robot Framework Suites #9048

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opened 2026-04-14 06:36:26 +00:00 by HAL9000 · 1 comment

HAL9000 commented

2026-04-14 06:36:26 +00:00

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Commit Message: test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites
Branch: test/improve-test-data-quality-realism

Background and Context

The current test data in both Behave and Robot Framework suites relies heavily on hardcoded, simplistic, and unrealistic values. This makes the tests brittle, harder to maintain, and less effective at catching bugs that only manifest with more realistic data.

Specific observations:

Hardcoded Data: Many feature files (e.g., features/data_variation_edge_cases.feature, features/acms/uko_layer2_paradigm_vocabularies.feature) and Robot Framework helper scripts (e.g., robot/helper_acms_fusion.py) use hardcoded values for test scenarios. This makes it difficult to extend the tests with new data variations and increases the maintenance overhead when data formats change.
Unrealistic Data: The test data often lacks realism. For example, in robot/helper_acms_fusion.py, the content of ContextFragment objects is simplistic (e.g., "alpha", "beta"). This may not adequately test the system's ability to handle real-world data.
Limited Data Variety: The current data often covers only a limited set of "happy path" scenarios. While there are some edge case tests, they are not comprehensive and could be improved by generating a wider variety of data.

Expected Behavior

When this issue is complete:

Behave feature files and Robot Framework helper scripts use dynamically generated, realistic test data via Faker (or equivalent) instead of hardcoded literals.
Large datasets are externalized to JSON/YAML/CSV files under the appropriate test directories, making them easy to manage and reuse.
Test data factories or helper functions encapsulate the logic for creating complex test objects (e.g., ContextFragment, vocabulary entries), improving readability and reducing duplication.
A wider range of scenarios — including edge cases, boundary values, and invalid inputs — is covered by the generated data.

Acceptance Criteria

At least one data generation helper (using Faker or equivalent) is introduced under features/ (for Behave) and/or robot/ (for Robot Framework) that produces realistic values for the identified hardcoded fields.
robot/helper_acms_fusion.py ContextFragment content values are replaced with dynamically generated realistic text rather than literals like "alpha" / "beta".
At least one large hardcoded dataset in a feature file or helper script is externalized to a JSON, YAML, or CSV file and loaded at runtime.
Test data factory functions or classes are introduced that encapsulate construction of complex test objects.
All existing Behave scenarios and Robot Framework tests continue to pass after the refactor (nox -s unit_tests and nox -s integration_tests pass).
Test coverage remains ≥ 97% (nox -s coverage_report passes).
nox (all default sessions) passes with no new errors.

Subtasks

Audit features/data_variation_edge_cases.feature and features/acms/uko_layer2_paradigm_vocabularies.feature for hardcoded values that should be dynamically generated
Audit robot/helper_acms_fusion.py for hardcoded ContextFragment content and other simplistic literals
Add Faker (or equivalent) as a test dependency in pyproject.toml / nox session configuration
Implement a Behave test data factory module under features/ that generates realistic values using Faker
Implement a Robot Framework test data helper under robot/ that generates realistic values using Faker
Replace hardcoded ContextFragment content in robot/helper_acms_fusion.py with factory-generated realistic text
Externalize at least one large hardcoded dataset from a feature file or helper script to a JSON/YAML/CSV file
Update affected step definitions and Robot keywords to load from the externalized data files
Expand edge-case and boundary-value scenarios using the new data generation helpers
Run nox -s unit_tests and nox -s integration_tests — fix any failures
Run nox -s coverage_report — verify coverage ≥ 97%
Run nox (all default sessions) — fix any errors

Definition of Done

This issue is complete when:

All subtasks above are completed and checked off.
A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly (test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites), 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 (test/improve-test-data-quality-realism).
The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.

References

Faker PyPI
features/data_variation_edge_cases.feature
features/acms/uko_layer2_paradigm_vocabularies.feature
robot/helper_acms_fusion.py

Automated by CleverAgents Bot
Agent: new-issue-creator

## Metadata - **Commit Message**: `test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites` - **Branch**: `test/improve-test-data-quality-realism` ## Background and Context The current test data in both Behave and Robot Framework suites relies heavily on hardcoded, simplistic, and unrealistic values. This makes the tests brittle, harder to maintain, and less effective at catching bugs that only manifest with more realistic data. Specific observations: - **Hardcoded Data:** Many feature files (e.g., `features/data_variation_edge_cases.feature`, `features/acms/uko_layer2_paradigm_vocabularies.feature`) and Robot Framework helper scripts (e.g., `robot/helper_acms_fusion.py`) use hardcoded values for test scenarios. This makes it difficult to extend the tests with new data variations and increases the maintenance overhead when data formats change. - **Unrealistic Data:** The test data often lacks realism. For example, in `robot/helper_acms_fusion.py`, the content of `ContextFragment` objects is simplistic (e.g., `"alpha"`, `"beta"`). This may not adequately test the system's ability to handle real-world data. - **Limited Data Variety:** The current data often covers only a limited set of "happy path" scenarios. While there are some edge case tests, they are not comprehensive and could be improved by generating a wider variety of data. ## Expected Behavior When this issue is complete: - Behave feature files and Robot Framework helper scripts use dynamically generated, realistic test data via Faker (or equivalent) instead of hardcoded literals. - Large datasets are externalized to JSON/YAML/CSV files under the appropriate test directories, making them easy to manage and reuse. - Test data factories or helper functions encapsulate the logic for creating complex test objects (e.g., `ContextFragment`, vocabulary entries), improving readability and reducing duplication. - A wider range of scenarios — including edge cases, boundary values, and invalid inputs — is covered by the generated data. ## Acceptance Criteria - [ ] At least one data generation helper (using Faker or equivalent) is introduced under `features/` (for Behave) and/or `robot/` (for Robot Framework) that produces realistic values for the identified hardcoded fields. - [ ] `robot/helper_acms_fusion.py` `ContextFragment` content values are replaced with dynamically generated realistic text rather than literals like `"alpha"` / `"beta"`. - [ ] At least one large hardcoded dataset in a feature file or helper script is externalized to a JSON, YAML, or CSV file and loaded at runtime. - [ ] Test data factory functions or classes are introduced that encapsulate construction of complex test objects. - [ ] All existing Behave scenarios and Robot Framework tests continue to pass after the refactor (`nox -s unit_tests` and `nox -s integration_tests` pass). - [ ] Test coverage remains ≥ 97% (`nox -s coverage_report` passes). - [ ] `nox` (all default sessions) passes with no new errors. ## Subtasks - [ ] Audit `features/data_variation_edge_cases.feature` and `features/acms/uko_layer2_paradigm_vocabularies.feature` for hardcoded values that should be dynamically generated - [ ] Audit `robot/helper_acms_fusion.py` for hardcoded `ContextFragment` content and other simplistic literals - [ ] Add Faker (or equivalent) as a test dependency in `pyproject.toml` / nox session configuration - [ ] Implement a Behave test data factory module under `features/` that generates realistic values using Faker - [ ] Implement a Robot Framework test data helper under `robot/` that generates realistic values using Faker - [ ] Replace hardcoded `ContextFragment` content in `robot/helper_acms_fusion.py` with factory-generated realistic text - [ ] Externalize at least one large hardcoded dataset from a feature file or helper script to a JSON/YAML/CSV file - [ ] Update affected step definitions and Robot keywords to load from the externalized data files - [ ] Expand edge-case and boundary-value scenarios using the new data generation helpers - [ ] Run `nox -s unit_tests` and `nox -s integration_tests` — fix any failures - [ ] Run `nox -s coverage_report` — verify coverage ≥ 97% - [ ] Run `nox` (all default sessions) — fix any errors ## Definition of Done This issue is complete when: - All subtasks above are completed and checked off. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly (`test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites`), 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 (`test/improve-test-data-quality-realism`). - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done. ## References - [Faker PyPI](https://pypi.org/project/Faker/) - `features/data_variation_edge_cases.feature` - `features/acms/uko_layer2_paradigm_vocabularies.feature` - `robot/helper_acms_fusion.py` --- **Automated by CleverAgents Bot** Agent: new-issue-creator

HAL9000 added this to the v3.9.0 milestone

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2026-04-14 07:09:48 +00:00

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✅ Verified — Test data quality improvement for Behave and Robot Framework suites. MoSCoW: Should-have. Priority: Medium.

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

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

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[AUTO-WATCHDOG] Status: System Watchdog Pool Supervisor (Cycle 6) #9078

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[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 18) #9108

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[AUTO-INF-6] Test Data Quality: Restore validation edge fixtures to Behave coverage #9129

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test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites #9254

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#9254 test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites

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#9254 test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites

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test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites #9254

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TEST-INFRA: Instrument Robot coverage and document test data refresh workflow #9700

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auto/needs-conflict-resolution

Rebase conflict needs LLM conflict-resolver.

auto/needs-implementer

Failing CI needs implementer attention.

auto/postmortem

Documenting a driver incident or rollback.

auto/ready-to-merge

Reviewer has APPROVED this PR and no later REQUEST_CHANGES is outstanding. The merge driver requires this label to even consider a PR for merging. Set by the reviewer worker on APPROVE; cleared on REQUEST_CHANGES.

auto/restart-throttled

Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.

auto/revert

Revert PR backing out an invariant violation. Fast-tracked through the merge driver.

auto/sentinel

Sentinel PR duplicated from upstream into a personal fork by tools/duplicate_prs_to_fork.py for pipeline testing. Lives only in the fork; the canonical pipeline never sees it.

auto/stale-inactivity

No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.

auto/unstable

Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.

Blocked

A ticket in a blocked state and unable to complete until some other task is completed first.

Bounty

$100

A bounty of $100 for any open-source contributor who provides a MR that solves this issue

Bounty

$1000

A bounty of $1000 for any open-source contributor who provides a MR that solves this issue

Bounty

$10000

A bounty of $10000 for any open-source contributor who provides a MR that solves this issue

Bounty

$20

A bounty of $20 for any open-source contributor who provides a MR that solves this issue

Bounty

$2000

A bounty of $2000 for any open-source contributor who provides a MR that solves this issue

Bounty

$250

A bounty of $250 for any open-source contributor who provides a MR that solves this issue

Bounty

$50

A bounty of $50 for any open-source contributor who provides a MR that solves this issue

Bounty

$500

A bounty of $500 for any open-source contributor who provides a MR that solves this issue

Bounty

$5000

A bounty of $5000 for any open-source contributor who provides a MR that solves this issue

Bounty

$750

A bounty of $750 for any open-source contributor who provides a MR that solves this issue

MoSCoW

Could have

Could have feature in order to satisfy the epic/legendary.

MoSCoW

Must have

Must have feature in order to satisfy the epic/legendary.

MoSCoW

Should have

Should have feature in order to satisfy the epic/legendary.

Needs Feedback

There are questions in the ticket that can not be completed until the project owner provides clarity.

Points

1 man-hours worth of work for an expert with no learning curve.

Points

13 man-hours worth of work for an expert with no learning curve.

Points

2 man-hours worth of work for an expert with no learning curve.

Points

21 man-hours worth of work for an expert with no learning curve.

Points

3 man-hours worth of work for an expert with no learning curve.

Points

34 man-hours worth of work for an expert with no learning curve.

Points

5 man-hours worth of work for an expert with no learning curve.

Points

55 man-hours worth of work for an expert with no learning curve.

Points

8 man-hours worth of work for an expert with no learning curve.

Points

88 man-hours worth of work for an expert with no learning curve.

Priority

Backlog

This ticket has backlogged priority and is not to be worked on yet

Priority

CI Blocker

Critical priority issue that blocks CI/CD pipeline and prevents PR merges

Priority

Critical

The priority is critical

The priority is medium

Signed-off: Owner

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

Signed-off: Scrum Master

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

Signed-off: Tech Lead

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

Spike

A ticket for learning a tool or technology that is needed to be able to do future planning and design.

State

Completed

The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

State

Duplicate

A ticket that represents the same content as an existing ticket.

State

In Progress

A ticket that is actively being developed.

State

In Review

A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

State

Paused

This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

State

Unverified

All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

State

Verified

The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

State

Wont Do

This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

Type

Automation

Any edits or discussion about the AI automated coding system.

Type

Bug

Something that doesnt work as intended.

Type

Discussion

Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

Type

Documentation

An error or improvement needed in the documentation.

Type

Epic

Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

Type

Feature

Some new functionality not present.

Type

Legendary

A type of Epic which will contain other Epics.

Type

Refactor

A code change that restructures existing code without changing its external behavior.

Type

Support

Someone needs help using the project.

Type

Task

A generic task that doesnt fit into the other type categories.

Type

Testing

Work exclusively focusing on fixing or expanding testing.

No labels

auto/needs-reevaluation

controller-managed

auto/blocked-by-deps

auto/ci-timeout

auto/claimed-implementer

auto/claimed-merge

auto/claimed-reviewer

auto/driver-down

auto/invariant-violation

auto/last-attempt-tier-0

auto/last-attempt-tier-1

auto/last-attempt-tier-2

auto/last-attempt-tier-min

Automation Tracking

auto/needs-conflict-resolution

auto/needs-implementer

auto/postmortem

auto/ready-to-merge

auto/restart-throttled

auto/revert

auto/sentinel

auto/stale-inactivity

Signed-off: Scrum Master

Signed-off: Tech Lead

Milestone

Clear milestone

No items

No milestone

v3.9.0

Projects

Clear projects

No items

No project

Assignees

Clear assignees

No assignees

1 participant

Notifications

Due date

The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Depends on

#9254 test(data): introduce dynamic data generation and externalize test data in Behave and Robot Framework suites

cleveragents/cleveragents-core

Reference

cleveragents/cleveragents-core#9048

Reference in a new issue

Repository

cleveragents/cleveragents-core

Title

Body

No description provided.

Delete branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?

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