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接入文章优化案例自动保存

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czj
2026-07-08 13:24:50 +08:00
parent ee98c3304b
commit 79913ef7f7
11 changed files with 446 additions and 14 deletions
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src/app/api/jobs/[jobId]/optimize/route.ts
+78 -1
View File
@@ -1,7 +1,10 @@
import { NextResponse } from "next/server";
import { requireApiAccess } from "../../../../../lib/api/auth";
import { getRepositoryFromRuntime } from "../../../../../lib/db/repository";
import { buildArticleCaseSummary, createProcessStep } from "../../../../../lib/cases/summaries";
import { getRepositoryFromRuntime, type AppRepository } from "../../../../../lib/db/repository";
import type { ArticleJob } from "../../../../../lib/db/repositories";
import type { LlmAuditSummary } from "../../../../../lib/llm/audit";
import { LlmValidationError } from "../../../../../lib/llm/client";
import { getExportStoreFromRuntime } from "../../../../../lib/workflow/export-store";
import { runOptimizationWorkflow } from "../../../../../lib/workflow/orchestrator";
@@ -36,6 +39,8 @@ export async function POST(request: Request, context: RouteContext) {
}
const requestStartedAt = Date.now();
const caseId = await ensureArticleCase(repository, job);
const llmAuditSummary: LlmAuditSummary[] = [];
startWorkflowProgress(jobId);
try {
const result = await runOptimizationWorkflow({
@@ -50,6 +55,7 @@ export async function POST(request: Request, context: RouteContext) {
onProgress: (event) => {
recordWorkflowProgress(jobId, event);
},
onAuditSummary: (summary) => llmAuditSummary.push(summary),
});
const optimizedArticle = await repository.saveOptimizedArticle(
jobId,
@@ -70,8 +76,27 @@ export async function POST(request: Request, context: RouteContext) {
status: "optimized",
export_paths: exportPaths,
});
const resultVersion = await repository.createOptimizationResultVersion({
case_id: caseId,
case_type: "article",
status: "optimized",
article_job_id: jobId,
article_revision: optimizedArticle.revision ?? 1,
result_summary: optimizedArticle.summary,
payload: {
article: optimizedArticle,
qa_report: qaReport,
export_paths: exportPaths,
},
process_summary: [],
llm_audit_summary: llmAuditSummary,
error_stage: null,
error_summary: null,
});
return NextResponse.json({
case: { id: caseId, case_type: "article" },
resultVersion: { id: resultVersion.id, version: resultVersion.version },
optimizedArticle,
qaReport,
exportPaths,
@@ -81,6 +106,28 @@ export async function POST(request: Request, context: RouteContext) {
});
} catch (error) {
const message = error instanceof Error ? error.message : "LLM optimization failed";
await repository.createOptimizationResultVersion({
case_id: caseId,
case_type: "article",
status: "failed",
article_job_id: jobId,
article_revision: null,
result_summary: "",
payload: null,
process_summary: [
createProcessStep({
stage: "optimize",
startedAt: requestStartedAt,
endedAt: Date.now(),
status: "failed",
errorSummary: message,
producedResultVersion: false,
}),
],
llm_audit_summary: llmAuditSummary,
error_stage: "optimize",
error_summary: message,
});
return NextResponse.json(
{
error: message,
@@ -94,6 +141,36 @@ export async function POST(request: Request, context: RouteContext) {
}
}
async function ensureArticleCase(
repository: AppRepository,
job: ArticleJob,
) {
if (job.case_id) return job.case_id;
const caseSummary = buildArticleCaseSummary({
source_title: job.source_title,
source_body: job.source_body,
publish_platform: job.publish_platform,
});
const optimizationCase = await repository.createOptimizationCase({
case_type: "article",
...caseSummary,
});
await repository.saveCaseInput({
case_id: optimizationCase.id,
case_type: "article",
article_job_id: job.id,
payload: {
source_title: job.source_title,
source_body: job.source_body,
image_inputs: job.image_inputs,
publish_platform: job.publish_platform,
user_instructions: job.user_instructions,
},
});
return optimizationCase.id;
}
function getErrorStatus(error: unknown) {
if (error instanceof LlmValidationError) return 502;
if (error instanceof Error && /^LLM\b|provider/i.test(error.message)) return 502;
src/app/api/jobs/optimize-stream/route.ts
+106 -3
View File
@@ -1,8 +1,11 @@
import { NextResponse } from "next/server";
import { requireApiAccess } from "../../../../lib/api/auth";
import type { ProcessSummaryStep } from "../../../../lib/cases/types";
import { buildArticleCaseSummary, createProcessStep } from "../../../../lib/cases/summaries";
import { getRepositoryFromRuntime } from "../../../../lib/db/repository";
import { optimizationFactCardSchema } from "../../../../lib/domain/validation";
import type { LlmAuditSummary } from "../../../../lib/llm/audit";
import { LlmValidationError } from "../../../../lib/llm/client";
import { getExportStoreFromRuntime } from "../../../../lib/workflow/export-store";
import { extractCandidateFactCard } from "../../../../lib/workflow/fact-extractor";
@@ -56,11 +59,26 @@ export async function POST(request: Request) {
};
let jobId: string | undefined;
let caseId: string | undefined;
let stage: OptimizationStreamStage = "job";
const llmAuditSummary: LlmAuditSummary[] = [];
const processSummary: ProcessSummaryStep[] = [];
const requestStartedAt = Date.now();
try {
const repository = getRepositoryFromRuntime();
const caseSummary = buildArticleCaseSummary({
source_title: normalized.articleInput.title,
source_body: normalized.articleInput.body,
publish_platform: normalized.articleInput.platform,
});
const optimizationCase = await repository.createOptimizationCase({
case_type: "article",
...caseSummary,
});
caseId = optimizationCase.id;
const job = await repository.createArticleJob({
case_id: optimizationCase.id,
source_title: normalized.articleInput.title,
source_body: normalized.articleInput.body,
image_inputs: normalized.articleInput.images,
@@ -68,12 +86,40 @@ export async function POST(request: Request) {
user_instructions: normalized.articleInput.user_instructions,
});
jobId = job.id;
send({ type: "job_created", job: { id: job.id } });
await repository.saveCaseInput({
case_id: optimizationCase.id,
case_type: "article",
article_job_id: job.id,
payload: {
source_title: normalized.articleInput.title,
source_body: normalized.articleInput.body,
image_inputs: normalized.articleInput.images,
publish_platform: normalized.articleInput.platform,
user_instructions: normalized.articleInput.user_instructions,
},
});
send({
type: "job_created",
job: { id: job.id },
case: { id: optimizationCase.id, case_type: "article" },
});
stage = "fact_card";
const factCardStartedAt = Date.now();
const factCard = optimizationFactCardSchema.parse(
payload.fact_card ??
(await extractCandidateFactCard(normalized.articleInput)),
(await extractCandidateFactCard(normalized.articleInput, {
onAuditSummary: (summary) => llmAuditSummary.push(summary),
})),
);
processSummary.push(
createProcessStep({
stage: "fact_card",
startedAt: factCardStartedAt,
endedAt: Date.now(),
status: "success",
producedResultVersion: false,
}),
);
const savedFactCard = await repository.saveFactCard(job.id, factCard);
send({
@@ -90,6 +136,7 @@ export async function POST(request: Request) {
stage = stageForEvent(event, stage);
send(event);
},
onAuditSummary: (summary) => llmAuditSummary.push(summary),
});
stage = "final";
@@ -112,19 +159,75 @@ export async function POST(request: Request) {
status: "optimized",
export_paths: exportPaths,
});
const resultVersion = await repository.createOptimizationResultVersion({
case_id: optimizationCase.id,
case_type: "article",
status: "optimized",
article_job_id: job.id,
article_revision: optimizedArticle.revision ?? 1,
result_summary: optimizedArticle.summary,
payload: {
article: optimizedArticle,
qa_report: qaReport,
export_paths: exportPaths,
},
process_summary: [...processSummary, ...result.processSummary],
llm_audit_summary: llmAuditSummary,
error_stage: null,
error_summary: null,
});
send({
type: "final_ready",
job_id: job.id,
case: { id: optimizationCase.id, case_type: "article" },
result_version: { id: resultVersion.id, version: resultVersion.version },
optimized_article: optimizedArticle,
qa_report: qaReport,
export_paths: exportPaths,
});
} catch (error) {
const message = error instanceof Error ? error.message : "优化失败";
let failedVersion:
| { id: string; version: number }
| undefined;
if (caseId) {
try {
const repository = getRepositoryFromRuntime();
const version = await repository.createOptimizationResultVersion({
case_id: caseId,
case_type: "article",
status: "failed",
article_job_id: jobId ?? null,
article_revision: null,
result_summary: "",
payload: null,
process_summary: [
...processSummary,
createProcessStep({
stage,
startedAt: requestStartedAt,
endedAt: Date.now(),
status: "failed",
errorSummary: message,
producedResultVersion: false,
}),
],
llm_audit_summary: llmAuditSummary,
error_stage: stage,
error_summary: message,
});
failedVersion = { id: version.id, version: version.version };
} catch {
failedVersion = undefined;
}
}
send({
type: "failed",
job_id: jobId,
case: caseId ? { id: caseId, case_type: "article" } : undefined,
result_version: failedVersion,
stage,
error: error instanceof Error ? error.message : "优化失败",
error: message,
});
} finally {
controller.close();
src/app/api/jobs/route.ts
+52 -1
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@@ -1,7 +1,9 @@
import { NextResponse } from "next/server";
import { requireApiAccess } from "../../../lib/api/auth";
import { buildArticleCaseSummary, createProcessStep } from "../../../lib/cases/summaries";
import { getRepositoryFromRuntime } from "../../../lib/db/repository";
import type { LlmAuditSummary } from "../../../lib/llm/audit";
import { LlmValidationError } from "../../../lib/llm/client";
import { extractCandidateFactCard } from "../../../lib/workflow/fact-extractor";
import { normalizeInput, type RawArticleInput } from "../../../lib/workflow/input-normalizer";
@@ -16,29 +18,78 @@ export async function POST(request: Request) {
const payload = (await request.json()) as RawArticleInput;
const normalized = normalizeInput(payload);
const repository = getRepositoryFromRuntime();
const caseSummary = buildArticleCaseSummary({
source_title: normalized.articleInput.title,
source_body: normalized.articleInput.body,
publish_platform: normalized.articleInput.platform,
});
const optimizationCase = await repository.createOptimizationCase({
case_type: "article",
...caseSummary,
});
const job = await repository.createArticleJob({
case_id: optimizationCase.id,
source_title: normalized.articleInput.title,
source_body: normalized.articleInput.body,
image_inputs: normalized.articleInput.images,
publish_platform: normalized.articleInput.platform,
user_instructions: normalized.articleInput.user_instructions,
});
await repository.saveCaseInput({
case_id: optimizationCase.id,
case_type: "article",
article_job_id: job.id,
payload: {
source_title: normalized.articleInput.title,
source_body: normalized.articleInput.body,
image_inputs: normalized.articleInput.images,
publish_platform: normalized.articleInput.platform,
user_instructions: normalized.articleInput.user_instructions,
},
});
const factStartedAt = Date.now();
const llmAuditSummary: LlmAuditSummary[] = [];
const timing = {
total_ms: 0,
steps: [] as Array<{ label: string; duration_ms: number }>,
};
try {
const candidateFactCard = await extractCandidateFactCard(normalized.articleInput);
const candidateFactCard = await extractCandidateFactCard(
normalized.articleInput,
{ onAuditSummary: (summary) => llmAuditSummary.push(summary) },
);
const duration = Date.now() - factStartedAt;
timing.total_ms = duration;
timing.steps.push({ label: "事实卡提取", duration_ms: duration });
return NextResponse.json({ job, candidateFactCard, timing }, { status: 201 });
} catch (error) {
const message = error instanceof Error ? error.message : "Request failed";
const duration = Date.now() - factStartedAt;
timing.total_ms = duration;
timing.steps.push({ label: "事实卡提取", duration_ms: duration });
await repository.createOptimizationResultVersion({
case_id: optimizationCase.id,
case_type: "article",
status: "failed",
article_job_id: job.id,
article_revision: null,
result_summary: "",
payload: null,
process_summary: [
createProcessStep({
stage: "fact_card",
startedAt: factStartedAt,
endedAt: Date.now(),
status: "failed",
errorSummary: message,
producedResultVersion: false,
}),
],
llm_audit_summary: llmAuditSummary,
error_stage: "fact_card",
error_summary: message,
});
return jsonError(error, getErrorStatus(error), timing);
}
} catch (error) {