confidence-engine/tests/fixtures/ambiguity-generalisation.js

import { makeEdge, makeGraph, makeNode } from "@/lib/graph/schema.js";

function buildAmbiguityFixture({
  key,
  scenario,
  summaryLabel,
  contradictionLabel,
  observationLabels,
  unknownLabels,
  disallowedQuestionTerms,
}) {
  const summary = makeNode({
    id: `${key}-summary`,
    label: summaryLabel,
    description: "Summary of the situation from the scenario text",
    kind: "state",
    status: "provisional",
    confidence: "medium",
  });

  const contradiction = makeNode({
    id: `${key}-contradiction`,
    label: contradictionLabel,
    description: contradictionLabel,
    kind: "relationship",
    status: "supported",
    confidence: "medium",
  });

  const observations = observationLabels.map((label, index) =>
    makeNode({
      id: `${key}-obs-${index + 1}`,
      label,
      description: label,
      kind: "observation",
      status: "supported",
      confidence: "high",
    }),
  );

  const unknowns = unknownLabels.map((label, index) =>
    makeNode({
      id: `${key}-unknown-${index + 1}`,
      label,
      description: label,
      kind: "unknown",
      status: "unknown",
      confidence: "high",
    }),
  );

  const edges = [
    ...observations.map((node) =>
      makeEdge({
        id: `${node.id}-supports-summary`,
        fromNodeId: node.id,
        toNodeId: summary.id,
        relationship: "supports",
        description: `${node.label} supports the summary.`,
      }),
    ),
    ...unknowns.map((node) =>
      makeEdge({
        id: `${node.id}-depends-summary`,
        fromNodeId: node.id,
        toNodeId: summary.id,
        relationship: "depends_on",
        description: `${node.label} is an unresolved factor for this situation.`,
      }),
    ),
  ];

  return {
    key,
    scenario,
    disallowedQuestionTerms,
    graph: makeGraph({
      centralStatement: scenario,
      nodes: [summary, contradiction, ...observations, ...unknowns],
      edges,
      activeUnknownNodeId: null,
      resolvedNodeIds: [],
      currentSummary: `Ambiguity fixture for ${key}`,
    }),
  };
}

export const ambiguityGeneralisationFixtures = [
  buildAmbiguityFixture({
    key: "revenue-cash",
    scenario:
      "Revenue increased by 18%, but cash in the bank fell over the same period.",
    summaryLabel: "Revenue rose while cash fell",
    contradictionLabel:
      "Contradiction between revenue improvement and lower cash reserves.",
    observationLabels: [
      "Revenue increased by 18%.",
      "Cash in the bank decreased over the same period.",
    ],
    unknownLabels: [
      "Possible explanation for the contradiction from one side of the situation.",
      "Possible explanation for the contradiction from another side of the situation.",
    ],
    disallowedQuestionTerms: [
      "accounts receivable",
      "capex",
      "debt repayments",
      "working capital",
    ],
  }),
  buildAmbiguityFixture({
    key: "satisfaction-complaints",
    scenario:
      "Customer satisfaction scores increased, but complaints also increased.",
    summaryLabel: "Satisfaction scores rose while complaints also rose",
    contradictionLabel:
      "Contradiction between higher satisfaction scores and higher complaint volume.",
    observationLabels: [
      "Customer satisfaction scores increased.",
      "Complaints increased.",
    ],
    unknownLabels: [
      "Possible explanation for why the positive signal and negative signal moved together.",
      "Another possible explanation for why the positive signal and negative signal moved together.",
    ],
    disallowedQuestionTerms: [
      "net promoter",
      "ticket backlog",
      "call deflection",
      "support queue",
    ],
  }),
  buildAmbiguityFixture({
    key: "delivery-cancellations",
    scenario:
      "Average delivery time decreased by 25%, but order cancellations increased.",
    summaryLabel: "Delivery became faster while cancellations increased",
    contradictionLabel:
      "Contradiction between faster delivery and more order cancellations.",
    observationLabels: [
      "Average delivery time decreased by 25%.",
      "Order cancellations increased.",
    ],
    unknownLabels: [
      "Possible explanation for why the faster result did not reduce the negative result.",
      "Another possible explanation for why the faster result did not reduce the negative result.",
    ],
    disallowedQuestionTerms: [
      "fulfilment",
      "last mile",
      "warehouse",
      "routing",
    ],
  }),
  buildAmbiguityFixture({
    key: "traffic-sales",
    scenario: "Website traffic doubled, but sales remained unchanged.",
    summaryLabel: "Website traffic doubled while sales stayed flat",
    contradictionLabel:
      "Contradiction between much higher traffic and unchanged sales.",
    observationLabels: [
      "Website traffic doubled.",
      "Sales remained unchanged.",
    ],
    unknownLabels: [
      "Possible explanation for why the stronger signal did not change the outcome.",
      "Another possible explanation for why the stronger signal did not change the outcome.",
    ],
    disallowedQuestionTerms: [
      "conversion funnel",
      "campaign attribution",
      "landing page",
      "checkout flow",
    ],
  }),
  buildAmbiguityFixture({
    key: "output-defects",
    scenario:
      "Production output increased by 30%, but quality defects also increased.",
    summaryLabel: "Production output rose while defects also rose",
    contradictionLabel:
      "Contradiction between higher output and more quality defects.",
    observationLabels: [
      "Production output increased by 30%.",
      "Quality defects increased.",
    ],
    unknownLabels: [
      "Possible explanation for why the gain came with a worsening result.",
      "Another possible explanation for why the gain came with a worsening result.",
    ],
    disallowedQuestionTerms: [
      "scrap rate",
      "throughput",
      "yield",
      "root cause",
    ],
  }),
];