import { afterEach, describe, expect, it, vi } from "vitest";

const PROBLEM_UNITS_FLAG = "FEATURE_ASSISTANT_PROBLEM_UNITS_V1";
const GRAPH_RUNTIME_FLAG = "FEATURE_ASSISTANT_GRAPH_RUNTIME_V1";
const ORIGINAL_PROBLEM_UNITS_FLAG = process.env[PROBLEM_UNITS_FLAG];
const ORIGINAL_GRAPH_RUNTIME_FLAG = process.env[GRAPH_RUNTIME_FLAG];

function restoreFlags(): void {
  if (ORIGINAL_PROBLEM_UNITS_FLAG === undefined) {
    delete process.env[PROBLEM_UNITS_FLAG];
  } else {
    process.env[PROBLEM_UNITS_FLAG] = ORIGINAL_PROBLEM_UNITS_FLAG;
  }
  if (ORIGINAL_GRAPH_RUNTIME_FLAG === undefined) {
    delete process.env[GRAPH_RUNTIME_FLAG];
  } else {
    process.env[GRAPH_RUNTIME_FLAG] = ORIGINAL_GRAPH_RUNTIME_FLAG;
  }
}

async function normalizeWithFlags(input: {
  problemUnits: "0" | "1";
  graphRuntime: "0" | "1";
}) {
  process.env[PROBLEM_UNITS_FLAG] = input.problemUnits;
  process.env[GRAPH_RUNTIME_FLAG] = input.graphRuntime;
  vi.resetModules();
  const { normalizeRetrievalResult } = await import("../src/services/retrievalResultNormalizer");
  return normalizeRetrievalResult("F1", ["R1"], "hybrid_store_plus_live", {
    status: "ok",
    result_type: "list",
    items: [
      {
        source_entity: "Document",
        source_id: "DOC-1",
        risk_score: 5
      }
    ],
    summary: {
      broad_query_detected: false
    },
    evidence: [
      {
        evidence_id: "ev-1",
        claim_ref: "requirement:R1",
        source_type: "retrieval_item",
        pointer: {
          fragment_id: "F1",
          route: "hybrid_store_plus_live",
          source: {
            namespace: "snapshot_2020",
            entity: "Document",
            id: "DOC-1",
            period: "2020-06"
          },
          locator: {
            field_path: "risk_score",
            item_index: 0
          }
        },
        failed_expected_edge: "payment_to_settlement",
        anomaly_patterns: ["broken_lifecycle", "missing_link"],
        confidence: "medium"
      }
    ],
    why_included: ["synthetic-test"],
    selection_reason: ["synthetic-test"],
    risk_factors: ["broken_lifecycle"],
    business_interpretation: ["synthetic-test"],
    confidence: "medium",
    limitations: [],
    errors: []
  });
}

describe.sequential("retrieval dual payload compatibility for graph runtime", () => {
  afterEach(() => {
    restoreFlags();
    vi.resetModules();
  });

  it("keeps stage2 payload when graph runtime flag is OFF", async () => {
    const result = await normalizeWithFlags({
      problemUnits: "1",
      graphRuntime: "0"
    });

    expect(Array.isArray(result.problem_units)).toBe(true);
    expect(result.problem_units?.length).toBeGreaterThan(0);
    expect(result.accounting_graph).toBeUndefined();
    expect(result.summary.graph_runtime_enabled).toBeUndefined();
    expect(result.problem_units?.some((item) => item.graph_binding)).toBe(false);
  });

  it("adds graph runtime payload when graph runtime flag is ON", async () => {
    const result = await normalizeWithFlags({
      problemUnits: "1",
      graphRuntime: "1"
    });

    expect(Array.isArray(result.problem_units)).toBe(true);
    expect(result.problem_units?.length).toBeGreaterThan(0);
    expect(result.accounting_graph?.schema_version).toBe("accounting_graph_v0_1");
    expect((result.accounting_graph?.nodes.length ?? 0) > 0).toBe(true);
    expect((result.accounting_graph?.edges.length ?? 0) > 0).toBe(true);
    expect(result.summary.graph_runtime_enabled).toBe(true);
    expect(typeof result.summary.graph_nodes_count).toBe("number");
    expect(typeof result.summary.graph_edges_count).toBe("number");
    expect(result.problem_unit_summary?.graph_summary).toBeDefined();
    expect(result.problem_units?.some((item) => Boolean(item.graph_binding?.graph_node_id))).toBe(true);
  });
});