Files
C.E.L_Slide_test2/Front/client/tests/pipeline_trace_summary.test.ts
KyeongminandClaude Opus 4.8 b836e79ee1 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>
2026-07-02 17:03:42 +09:00

177 lines
5.4 KiB
TypeScript

import { describe, expect, it } from "vitest";
import { buildAiTraceSummary, buildPipelineTraceSummary } from "../src/services/designAgentApi";
describe("#98 Task 6 pipeline trace summary", () => {
it("connects sections, units, zones, and render-blocked warnings", () => {
const trace = buildPipelineTraceSummary({
normalized: {
data: {
sections: [
{ section_id: "01-1", title: "S1" },
{ section_id: "01-2", title: "S2" },
],
},
},
compositionPlan: {
data: {
selected_units: [
{
source_section_ids: ["01-1"],
frame_template_id: "frame_a",
label: "use_as_is",
selection_path: "rank_1",
},
{
source_section_ids: ["01-2"],
frame_template_id: "frame_b",
label: "use_as_is",
selection_path: "provisional_rank_1",
},
],
},
},
applicationPlan: {
data: {
units: [
{
unit_id: "01-1",
current_default_candidate: "frame_a",
sorted_candidate_evidence: [
{ template_id: "frame_a", label: "use_as_is", confidence: 0.9 },
],
},
{
unit_id: "01-2",
current_default_candidate: "frame_b",
sorted_candidate_evidence: [
{ template_id: "frame_b", label: "use_as_is", confidence: 0.8 },
],
},
],
},
},
slotPayload: {
data: {
per_zone: [
{ position: "top", template_id: "frame_a", slot_payload: { title: "S1" } },
{ position: "bottom", template_id: "__empty__", slot_payload: {} },
],
},
},
slideStatus: {
data: {
overall: "PARTIAL_COVERAGE",
covered_section_ids: ["01-1", "01-2"],
content_rendered_section_ids: ["01-1"],
filtered_section_ids: ["01-2"],
render_blocked_section_ids: ["01-2"],
adapter_needed_count: 1,
adapter_needed_units: [
{
position: "bottom",
source_section_ids: ["01-2"],
reason: "fit_error",
},
],
},
},
});
expect(trace.sections.map((section) => [section.id, section.state])).toEqual([
["01-1", "rendered"],
["01-2", "render_blocked"],
]);
expect(trace.sections[1].reasons).toEqual([
"fit_error",
"filtered",
]);
expect(trace.units.map((unit) => [unit.unit_id, unit.candidate_count])).toEqual([
["01-1", 1],
["01-2", 1],
]);
expect(trace.zones[1]).toMatchObject({
position: "bottom",
source_section_ids: ["01-2"],
template_id: "__empty__",
slot_status: "empty",
warnings: ["__empty__", "empty_slot_payload", "fit_error"],
});
expect(trace.warnings).toContain("render_blocked:01-2");
expect(trace.warnings).toContain("adapter_needed:1");
});
});
describe("#98 Task 7 AI trace summary", () => {
it("summarizes AI called/skipped/error state from step12_ai_repair", () => {
const trace = buildAiTraceSummary(
{
step_status: "done",
data: {
per_unit: [
{
unit_index: 0,
source_section_ids: ["04-1"],
frame_template_id: "frame_reject",
route_hint: "ai_adaptation_required",
provisional: true,
ai_called: false,
skip_reason: "router_short_circuit",
apply_status: "no_proposal",
api_error_kind: null,
error: null,
},
{
unit_index: 1,
source_section_ids: ["04-2"],
frame_template_id: "frame_auto",
route_hint: "direct_render",
provisional: false,
ai_called: false,
skip_reason: "not_provisional",
apply_status: "no_proposal",
api_error_kind: null,
error: null,
},
],
coverage_invariant: { status: "ok" },
},
},
{
status: "ok",
counts: { total: 2, applied: 0, no_proposal: 2, no_zone_match: 0, unsupported_kind: 0, error: 0 },
unsupported_kind_records: [],
error_records: [],
coverage_status: "ok",
dropped_section_ids: [],
human_review_required: false,
},
);
expect(trace.artifact_present).toBe(true);
expect(trace.ai_enabled).toBe(false);
expect(trace.ai_called_count).toBe(0);
expect(trace.eligible_count).toBe(1);
expect(trace.skip_reasons).toEqual({
router_short_circuit: 1,
not_provisional: 1,
});
expect(trace.warnings).toContain("router_short_circuit");
expect(trace.units[0]).toMatchObject({
source_section_ids: ["04-1"],
route_hint: "ai_adaptation_required",
provisional: true,
ai_called: false,
skip_reason: "router_short_circuit",
});
});
it("surfaces missing step12 AI artifact as an explicit warning", () => {
const trace = buildAiTraceSummary(null, null);
expect(trace.artifact_present).toBe(false);
expect(trace.ai_enabled).toBeNull();
expect(trace.status).toBe("missing_artifact");
expect(trace.warnings).toEqual(["step12_ai_repair.json missing"]);
});
});