detections/.cursor/skills/plan/templates/integration-functional-tests.md

E2E Functional Tests Template

Save as DOCUMENT_DIR/integration_tests/functional_tests.md.

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# E2E Functional Tests

## Positive Scenarios

### FT-P-01: [Scenario Name]

**Summary**: [One sentence: what end-to-end use case this validates]
**Traces to**: AC-[ID], AC-[ID]
**Category**: [which AC category — e.g., Position Accuracy, Image Processing, etc.]

**Preconditions**:
- [System state required before test]

**Input data**: [reference to specific data set or file from test_data.md]

**Steps**:

| Step | Consumer Action | Expected System Response |
|------|----------------|------------------------|
| 1 | [call / send / provide input] | [response / event / output] |
| 2 | [call / send / provide input] | [response / event / output] |

**Expected outcome**: [specific, measurable result]
**Max execution time**: [e.g., 10s]

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### FT-P-02: [Scenario Name]

(repeat structure)

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## Negative Scenarios

### FT-N-01: [Scenario Name]

**Summary**: [One sentence: what invalid/edge input this tests]
**Traces to**: AC-[ID] (negative case), RESTRICT-[ID]
**Category**: [which AC/restriction category]

**Preconditions**:
- [System state required before test]

**Input data**: [reference to specific invalid data or edge case]

**Steps**:

| Step | Consumer Action | Expected System Response |
|------|----------------|------------------------|
| 1 | [provide invalid input / trigger edge case] | [error response / graceful degradation / fallback behavior] |

**Expected outcome**: [system rejects gracefully / falls back to X / returns error Y]
**Max execution time**: [e.g., 5s]

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### FT-N-02: [Scenario Name]

(repeat structure)

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Guidance Notes

• Functional tests should typically trace to at least one acceptance criterion or restriction. Tests without a trace are allowed but should have a clear justification.
• Positive scenarios validate the system does what it should.
• Negative scenarios validate the system rejects or handles gracefully what it shouldn't accept.
• Expected outcomes must be specific and measurable — not "works correctly" but "returns position within 50m of ground truth."
• Input data references should point to specific entries in test_data.md.