新增优化案例API
This commit is contained in:
@@ -0,0 +1,24 @@
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import { NextResponse } from "next/server";
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import { requireApiAccess } from "../../../../../lib/api/auth";
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import { getRepositoryFromRuntime } from "../../../../../lib/db/repository";
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interface RouteContext {
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params: Promise<{ caseId: string }>;
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}
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export async function POST(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const optimizationCase = await repository.archiveOptimizationCase(caseId);
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if (!optimizationCase) {
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return NextResponse.json({ error: "Case not found" }, { status: 404 });
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}
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return NextResponse.json({ case: optimizationCase });
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}
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@@ -0,0 +1,298 @@
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import { NextResponse } from "next/server";
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import { z } from "zod";
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import { requireApiAccess } from "../../../../../lib/api/auth";
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import type {
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ArticleCaseInputPayload,
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OptimizationCaseDetail,
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ProcessSummaryStep,
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} from "../../../../../lib/cases/types";
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import { createProcessStep, excerpt } from "../../../../../lib/cases/summaries";
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import {
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getRepositoryFromRuntime,
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type AppRepository,
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} from "../../../../../lib/db/repository";
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import {
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articleInputSchema,
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copyOptimizationRequestSchema,
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optimizationFactCardSchema,
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} from "../../../../../lib/domain/validation";
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import type { LlmAuditSummary } from "../../../../../lib/llm/audit";
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import { LlmValidationError } from "../../../../../lib/llm/client";
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import { getExportStoreFromRuntime } from "../../../../../lib/workflow/export-store";
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import { extractCandidateFactCard } from "../../../../../lib/workflow/fact-extractor";
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import { runOptimizationWorkflow } from "../../../../../lib/workflow/orchestrator";
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import { optimizeRenweiCopy } from "../../../../../lib/workflow/renwei-copy-optimizer";
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interface RouteContext {
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params: Promise<{ caseId: string }>;
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}
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export async function POST(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const detail = await repository.getOptimizationCaseDetail(caseId);
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if (!detail?.input) {
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return NextResponse.json({ error: "Case not found" }, { status: 404 });
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}
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const caseDetail = { ...detail, input: detail.input } satisfies CaseDetailWithInput;
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if (detail.case.case_type === "article") {
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return rerunArticleCase(repository, caseDetail);
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}
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if (detail.case.case_type === "human_copy") {
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return rerunHumanCopyCase(repository, caseDetail);
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}
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return NextResponse.json({ error: "Unsupported case type" }, { status: 400 });
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}
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type CaseDetailWithInput = OptimizationCaseDetail & {
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input: NonNullable<OptimizationCaseDetail["input"]>;
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};
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async function rerunHumanCopyCase(
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repository: AppRepository,
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detail: CaseDetailWithInput,
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) {
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const payload = copyOptimizationRequestSchema.parse(detail.input.payload);
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const startedAt = Date.now();
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const llmAuditSummary: LlmAuditSummary[] = [];
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try {
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const result = await optimizeRenweiCopy(payload, {
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onAuditSummary: (summary) => llmAuditSummary.push(summary),
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});
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const resultVersion = await repository.createOptimizationResultVersion({
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case_id: detail.case.id,
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case_type: "human_copy",
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status: "optimized",
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article_job_id: null,
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article_revision: null,
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result_summary: excerpt(result.optimized_text),
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payload: result,
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process_summary: [
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createProcessStep({
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stage: "human_copy_optimize",
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startedAt,
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endedAt: Date.now(),
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status: "success",
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producedResultVersion: true,
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}),
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],
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llm_audit_summary: llmAuditSummary,
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error_stage: null,
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error_summary: null,
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});
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return NextResponse.json(
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{
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case: { id: detail.case.id, case_type: "human_copy" },
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result_version: { id: resultVersion.id, version: resultVersion.version },
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result,
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},
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{ status: 201 },
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);
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} catch (error) {
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const message = errorMessage(error);
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const resultVersion = await repository.createOptimizationResultVersion({
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case_id: detail.case.id,
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case_type: "human_copy",
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status: "failed",
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article_job_id: null,
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article_revision: null,
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result_summary: "",
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payload: null,
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process_summary: [
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createProcessStep({
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stage: "human_copy_optimize",
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startedAt,
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endedAt: Date.now(),
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status: "failed",
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errorSummary: message,
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producedResultVersion: false,
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}),
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],
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llm_audit_summary: llmAuditSummary,
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error_stage: "human_copy_optimize",
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error_summary: message,
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});
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return NextResponse.json(
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{
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error: message,
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case: { id: detail.case.id, case_type: "human_copy" },
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result_version: { id: resultVersion.id, version: resultVersion.version },
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},
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{ status: getErrorStatus(error) },
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);
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}
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}
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function errorMessage(error: unknown) {
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return error instanceof z.ZodError
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? "请输入需要优化的文案"
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: error instanceof Error
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? error.message
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: "文案优化失败";
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}
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function getErrorStatus(error: unknown) {
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if (error instanceof LlmValidationError) return 502;
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if (error instanceof Error && /^LLM\b|provider/i.test(error.message)) return 502;
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return 400;
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}
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async function rerunArticleCase(
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repository: AppRepository,
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detail: CaseDetailWithInput,
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) {
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const payload = detail.input.payload as ArticleCaseInputPayload;
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const articleInput = articleInputSchema.parse({
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title: payload.source_title,
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body: payload.source_body,
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images: payload.image_inputs,
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platform: payload.publish_platform,
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user_instructions: payload.user_instructions,
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});
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const llmAuditSummary: LlmAuditSummary[] = [];
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const processSummary: ProcessSummaryStep[] = [];
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const requestStartedAt = Date.now();
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let jobId: string | null = null;
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let stage = "job";
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try {
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const job = await repository.createArticleJob({
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case_id: detail.case.id,
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source_title: articleInput.title,
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source_body: articleInput.body,
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image_inputs: articleInput.images,
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publish_platform: articleInput.platform,
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user_instructions: articleInput.user_instructions,
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});
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jobId = job.id;
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stage = "fact_card";
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const factCardStartedAt = Date.now();
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const existingFactCard = detail.input.article_job_id
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? await repository.getFactCard(detail.input.article_job_id)
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: null;
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const factCard = optimizationFactCardSchema.parse(
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payload.fact_card ??
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existingFactCard ??
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(await extractCandidateFactCard(articleInput, {
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onAuditSummary: (summary) => llmAuditSummary.push(summary),
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})),
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);
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processSummary.push(
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createProcessStep({
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stage: "fact_card",
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startedAt: factCardStartedAt,
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endedAt: Date.now(),
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status: "success",
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producedResultVersion: false,
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}),
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);
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const savedFactCard = await repository.saveFactCard(job.id, factCard);
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stage = "optimize";
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const result = await runOptimizationWorkflow({
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input: articleInput,
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factCard: savedFactCard,
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onAuditSummary: (summary) => llmAuditSummary.push(summary),
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});
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const optimizedArticle = await repository.saveOptimizedArticle(
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job.id,
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result.article,
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);
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const qaReport = await repository.saveQaReport(
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job.id,
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optimizedArticle.revision ?? 1,
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result.qaReport,
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);
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const exportStore = getExportStoreFromRuntime();
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const exportPaths = await exportStore.writeJobExports({
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jobId: job.id,
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article: optimizedArticle,
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qaReport,
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});
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await repository.updateArticleJob(job.id, {
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status: "optimized",
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export_paths: exportPaths,
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});
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const resultVersion = await repository.createOptimizationResultVersion({
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case_id: detail.case.id,
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case_type: "article",
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status: "optimized",
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article_job_id: job.id,
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article_revision: optimizedArticle.revision ?? 1,
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result_summary: optimizedArticle.summary,
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payload: {
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article: optimizedArticle,
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qa_report: qaReport,
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export_paths: exportPaths,
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},
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process_summary: processSummary,
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llm_audit_summary: llmAuditSummary,
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error_stage: null,
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error_summary: null,
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});
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return NextResponse.json(
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{
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case: { id: detail.case.id, case_type: "article" },
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result_version: { id: resultVersion.id, version: resultVersion.version },
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optimizedArticle,
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qaReport,
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exportPaths,
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rewriteRounds: result.rewrite_rounds,
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stoppedAfterMaxRewrites: result.stopped_after_max_rewrites,
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timing: result.timing,
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},
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{ status: 201 },
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);
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} catch (error) {
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const message = error instanceof Error ? error.message : "文章优化失败";
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const resultVersion = await repository.createOptimizationResultVersion({
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case_id: detail.case.id,
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case_type: "article",
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status: "failed",
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article_job_id: jobId,
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article_revision: null,
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result_summary: "",
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payload: null,
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process_summary: [
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...processSummary,
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createProcessStep({
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stage,
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startedAt: requestStartedAt,
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endedAt: Date.now(),
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status: "failed",
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errorSummary: message,
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producedResultVersion: false,
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}),
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],
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llm_audit_summary: llmAuditSummary,
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error_stage: stage,
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error_summary: message,
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});
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if (jobId) {
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await repository.updateArticleJob(jobId, { status: "failed" });
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}
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return NextResponse.json(
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{
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error: message,
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case: { id: detail.case.id, case_type: "article" },
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result_version: { id: resultVersion.id, version: resultVersion.version },
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},
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{ status: getErrorStatus(error) },
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);
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}
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}
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@@ -0,0 +1,24 @@
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import { NextResponse } from "next/server";
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import { requireApiAccess } from "../../../../../lib/api/auth";
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import { getRepositoryFromRuntime } from "../../../../../lib/db/repository";
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interface RouteContext {
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params: Promise<{ caseId: string }>;
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}
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export async function POST(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const optimizationCase = await repository.restoreOptimizationCase(caseId);
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if (!optimizationCase) {
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return NextResponse.json({ error: "Case not found" }, { status: 404 });
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}
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return NextResponse.json({ case: optimizationCase });
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}
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@@ -0,0 +1,45 @@
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import { NextResponse } from "next/server";
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import { requireApiAccess } from "../../../../lib/api/auth";
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import { caseMetadataPatchSchema } from "../../../../lib/cases/validation";
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import { getRepositoryFromRuntime } from "../../../../lib/db/repository";
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interface RouteContext {
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params: Promise<{ caseId: string }>;
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}
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export async function GET(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const detail = await repository.getOptimizationCaseDetail(caseId);
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if (!detail) {
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return NextResponse.json({ error: "Case not found" }, { status: 404 });
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}
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return NextResponse.json(detail);
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}
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export async function PATCH(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const changes = caseMetadataPatchSchema.parse(await request.json());
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const optimizationCase = await repository.updateOptimizationCaseMetadata(
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caseId,
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changes,
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);
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if (!optimizationCase) {
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return NextResponse.json({ error: "Case not found" }, { status: 404 });
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}
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return NextResponse.json({ case: optimizationCase });
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}
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@@ -0,0 +1,63 @@
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import { NextResponse } from "next/server";
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import { requireApiAccess } from "../../../../../../../lib/api/auth";
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import { resultVersionPublicationInputSchema } from "../../../../../../../lib/cases/validation";
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import { getRepositoryFromRuntime } from "../../../../../../../lib/db/repository";
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interface RouteContext {
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params: Promise<{ caseId: string; versionId: string }>;
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}
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export async function GET(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId, versionId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const version = await repository.getOptimizationResultVersion(versionId);
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if (!version || version.case_id !== caseId) {
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return NextResponse.json(
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{ error: "Result version not found" },
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{ status: 404 },
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);
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}
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return NextResponse.json({
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publications: await repository.listPublicationRecordsForResultVersion(
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version.id,
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),
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});
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}
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export async function POST(request: Request, context: RouteContext) {
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const access = requireApiAccess(request);
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if (!access.ok) {
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return access.response;
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}
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const { caseId, versionId } = await context.params;
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const repository = getRepositoryFromRuntime();
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const version = await repository.getOptimizationResultVersion(versionId);
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if (!version || version.case_id !== caseId) {
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return NextResponse.json(
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{ error: "Result version not found" },
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{ status: 404 },
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);
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}
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const input = resultVersionPublicationInputSchema.parse(await request.json());
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const publication = await repository.createPublicationRecord({
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result_version_id: version.id,
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job_id: version.article_job_id,
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revision: version.article_revision,
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publish_target: input.publish_target,
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url: input.url,
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published_at: input.published_at,
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status: "published",
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notes: input.notes,
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});
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return NextResponse.json({ publication }, { status: 201 });
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}
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