wip: phase_z2 evidence 파이프라인 + matching 실험(phase2~26) + 프론트 trace 패널 진행분 스냅샷
- src: phase_z2 composition/mapper/pipeline/placement_planner/retry, ai_fallback(prompts/schema/validate), mdx_text_atoms 신규 - Front: PipelineTracePanel 신규, FramePanel/SlideCanvas/Home/designAgentApi 등 갱신 + 테스트 4종 추가 - templates/phase_z2: catalog(component_expansion_registry, node_slot_mapping 신규), frames, families, slide_base 갱신 - tests/matching: phase2~26 매칭 실험 스크립트·리포트·온톨로지 전체 (미커밋 진행분) - tests: b4_v4 evidence, task5~28.5 시리즈, regression(imp95 baseline) 등 신규 테스트 대량 추가 - docs/reference: MDX 구조 인벤토리, MDX→Frame 구조 계약 문서 - scripts: mdx 계약/parity/coverage/viewport 체크, gitea comment, run sync 유틸 - .gitignore: tmp*.json, chromedriver, .orchestrator, *.pkl, Front_test* 등 임시/스냅샷 제외 미완성 작업의 보존용 스냅샷 커밋 (2026-07-02) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Claude Opus 4.8
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import { describe, expect, it } from "vitest";
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import { buildAiTraceSummary, buildPipelineTraceSummary } from "../src/services/designAgentApi";
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describe("#98 Task 6 pipeline trace summary", () => {
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it("connects sections, units, zones, and render-blocked warnings", () => {
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const trace = buildPipelineTraceSummary({
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normalized: {
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data: {
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sections: [
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{ section_id: "01-1", title: "S1" },
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{ section_id: "01-2", title: "S2" },
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],
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},
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},
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compositionPlan: {
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data: {
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selected_units: [
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{
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source_section_ids: ["01-1"],
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frame_template_id: "frame_a",
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label: "use_as_is",
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selection_path: "rank_1",
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},
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{
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source_section_ids: ["01-2"],
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frame_template_id: "frame_b",
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label: "use_as_is",
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selection_path: "provisional_rank_1",
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},
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],
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},
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},
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applicationPlan: {
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data: {
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units: [
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{
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unit_id: "01-1",
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current_default_candidate: "frame_a",
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sorted_candidate_evidence: [
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{ template_id: "frame_a", label: "use_as_is", confidence: 0.9 },
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],
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},
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{
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unit_id: "01-2",
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current_default_candidate: "frame_b",
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sorted_candidate_evidence: [
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{ template_id: "frame_b", label: "use_as_is", confidence: 0.8 },
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],
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},
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],
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},
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},
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slotPayload: {
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data: {
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per_zone: [
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{ position: "top", template_id: "frame_a", slot_payload: { title: "S1" } },
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{ position: "bottom", template_id: "__empty__", slot_payload: {} },
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],
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},
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},
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slideStatus: {
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data: {
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overall: "PARTIAL_COVERAGE",
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covered_section_ids: ["01-1", "01-2"],
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content_rendered_section_ids: ["01-1"],
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filtered_section_ids: ["01-2"],
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render_blocked_section_ids: ["01-2"],
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adapter_needed_count: 1,
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adapter_needed_units: [
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{
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position: "bottom",
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source_section_ids: ["01-2"],
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reason: "fit_error",
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},
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],
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},
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},
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});
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expect(trace.sections.map((section) => [section.id, section.state])).toEqual([
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["01-1", "rendered"],
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["01-2", "render_blocked"],
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]);
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expect(trace.sections[1].reasons).toEqual([
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"fit_error",
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"filtered",
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]);
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expect(trace.units.map((unit) => [unit.unit_id, unit.candidate_count])).toEqual([
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["01-1", 1],
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["01-2", 1],
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]);
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expect(trace.zones[1]).toMatchObject({
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position: "bottom",
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source_section_ids: ["01-2"],
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template_id: "__empty__",
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slot_status: "empty",
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warnings: ["__empty__", "empty_slot_payload", "fit_error"],
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});
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expect(trace.warnings).toContain("render_blocked:01-2");
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expect(trace.warnings).toContain("adapter_needed:1");
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});
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});
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describe("#98 Task 7 AI trace summary", () => {
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it("summarizes AI called/skipped/error state from step12_ai_repair", () => {
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const trace = buildAiTraceSummary(
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{
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step_status: "done",
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data: {
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per_unit: [
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{
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unit_index: 0,
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source_section_ids: ["04-1"],
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frame_template_id: "frame_reject",
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route_hint: "ai_adaptation_required",
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provisional: true,
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ai_called: false,
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skip_reason: "router_short_circuit",
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apply_status: "no_proposal",
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api_error_kind: null,
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error: null,
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},
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{
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unit_index: 1,
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source_section_ids: ["04-2"],
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frame_template_id: "frame_auto",
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route_hint: "direct_render",
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provisional: false,
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ai_called: false,
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skip_reason: "not_provisional",
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apply_status: "no_proposal",
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api_error_kind: null,
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error: null,
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},
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],
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coverage_invariant: { status: "ok" },
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},
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},
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{
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status: "ok",
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counts: { total: 2, applied: 0, no_proposal: 2, no_zone_match: 0, unsupported_kind: 0, error: 0 },
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unsupported_kind_records: [],
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error_records: [],
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coverage_status: "ok",
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dropped_section_ids: [],
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human_review_required: false,
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},
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);
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expect(trace.artifact_present).toBe(true);
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expect(trace.ai_enabled).toBe(false);
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expect(trace.ai_called_count).toBe(0);
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expect(trace.eligible_count).toBe(1);
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expect(trace.skip_reasons).toEqual({
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router_short_circuit: 1,
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not_provisional: 1,
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});
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expect(trace.warnings).toContain("router_short_circuit");
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expect(trace.units[0]).toMatchObject({
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source_section_ids: ["04-1"],
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route_hint: "ai_adaptation_required",
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provisional: true,
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ai_called: false,
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skip_reason: "router_short_circuit",
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});
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});
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it("surfaces missing step12 AI artifact as an explicit warning", () => {
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const trace = buildAiTraceSummary(null, null);
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expect(trace.artifact_present).toBe(false);
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expect(trace.ai_enabled).toBeNull();
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expect(trace.status).toBe("missing_artifact");
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expect(trace.warnings).toEqual(["step12_ai_repair.json missing"]);
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});
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});
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