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Extended _compute_affected_subtree() to BFS over both the structural tree (parent-child plan relationships) and decision_dependencies edges (influence DAG). The algorithm performs a single O(V+E) BFS pass that unions neighbors from both edge sources, using a visited set for cycle detection to guard against data corruption. Decision creation now supports dependency_decision_ids parameter in record_decision() which populates the in-memory influence DAG store. get_influence_edges() returns the adjacency list format consumed by CorrectionService. All public CorrectionService methods (analyze_impact, execute_revert, execute_correction, generate_dry_run_report) accept an optional influence_edges parameter while remaining backward-compatible (defaults to None, preserving structural-only traversal when not provided). Key design decisions: - Single BFS pass over union of structural + influence edges rather than separate traversals, ensuring O(V+E) complexity and consistent visit order - Cycle detection via visited set with warning log (not an error) since cycles indicate data corruption, not a programming error - Influence edge logging: traversal emits count of influence edges processed for observability - Backward-compatible API: existing callers that only pass decision_tree continue to work identically ISSUES CLOSED: #542
54 lines
2.6 KiB
Plaintext
54 lines
2.6 KiB
Plaintext
*** Settings ***
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Documentation End-to-end correction with influence DAG traversal.
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... Verifies that corrections cascade through both structural
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... tree edges and influence DAG (decision_dependencies) edges.
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Resource ${CURDIR}/common.resource
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Suite Setup Setup Test Environment
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Suite Teardown Cleanup Test Environment
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*** Variables ***
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${HELPER} robot/helper_influence_dag_traversal.py
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*** Test Cases ***
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Structural Only Revert
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[Documentation] Revert with only structural children
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[Tags] phase2 correction influence_dag
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${result}= Run Process ${PYTHON} ${HELPER} structural-only cwd=${WORKSPACE}
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Should Be Equal As Integers ${result.rc} 0
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Should Contain ${result.stdout} structural-only-ok
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Influence Only Revert
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[Documentation] Revert with only influence DAG edges
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[Tags] phase2 correction influence_dag
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${result}= Run Process ${PYTHON} ${HELPER} influence-only cwd=${WORKSPACE}
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Should Be Equal As Integers ${result.rc} 0
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Should Contain ${result.stdout} influence-only-ok
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Combined Structural And Influence Revert
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[Documentation] Revert traverses union of structural + influence edges
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[Tags] phase2 correction influence_dag
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${result}= Run Process ${PYTHON} ${HELPER} combined-revert cwd=${WORKSPACE}
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Should Be Equal As Integers ${result.rc} 0
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Should Contain ${result.stdout} combined-revert-ok
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Cycle Detection In Influence DAG
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[Documentation] Corrupt cycle in influence DAG handled gracefully
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[Tags] phase2 correction influence_dag
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${result}= Run Process ${PYTHON} ${HELPER} cycle-detection cwd=${WORKSPACE}
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Should Be Equal As Integers ${result.rc} 0
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Should Contain ${result.stdout} cycle-detection-ok
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Decision Creation Records Dependencies
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[Documentation] record_decision with dependency_decision_ids populates DAG
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[Tags] phase2 correction influence_dag
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${result}= Run Process ${PYTHON} ${HELPER} record-deps cwd=${WORKSPACE}
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Should Be Equal As Integers ${result.rc} 0
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Should Contain ${result.stdout} record-deps-ok
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End To End Correction With Influence Cascade
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[Documentation] Full flow: record decisions with deps, then revert cascades
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[Tags] phase2 correction influence_dag
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${result}= Run Process ${PYTHON} ${HELPER} e2e-cascade cwd=${WORKSPACE}
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Should Be Equal As Integers ${result.rc} 0
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Should Contain ${result.stdout} e2e-cascade-ok
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