303 lines
11 KiB
TypeScript
303 lines
11 KiB
TypeScript
import { isManagerRequest, managerForbidden } from "../../../lib/user-auth";
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import { ensureSchema, getRawDb } from "../../../lib/mvp-db";
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import {
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resolveCollectionMcpConfig,
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resolveXhsProfileDetailsFromMcp,
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resolveXhsPublicAccountDetails,
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type CollectionMcpBindings,
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} from "../../../lib/mcp-collection-client";
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import { getRuntimeEnv } from "../../../lib/runtime-env";
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import {
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mergeCooperationSources,
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normalizeProfileUrl,
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parseResourceImportFile,
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RESOURCE_IMPORT_MAX_BYTES,
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resourcePlatformUid,
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type ResourceImportRow,
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} from "../../../lib/resource-import";
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type AccountRow = {
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id: string;
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platform: string;
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platform_uid: string;
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public_account_id: string;
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nickname: string;
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profile_url: string;
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ip_location: string;
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followers: number;
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cooperation_source: string;
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};
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type AnalyzedRow = ResourceImportRow & {
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action: "create" | "update" | "error";
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accountId: string;
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platformUid: string;
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cooperationSource: string;
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};
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function identityKey(platform: string, value: string) {
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return `${platform.trim().toLocaleLowerCase("zh-CN")}|${value
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.trim()
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.toLocaleLowerCase("zh-CN")}`;
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}
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async function loadAccounts() {
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return getRawDb()
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.prepare(
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`SELECT id, platform, platform_uid, public_account_id, nickname,
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profile_url, ip_location, followers, cooperation_source
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FROM accounts`,
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)
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.all<AccountRow>();
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}
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async function mapConcurrent<T, R>(
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items: T[],
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limit: number,
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worker: (item: T) => Promise<R>,
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) {
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const results = new Array<R>(items.length);
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let cursor = 0;
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await Promise.all(
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Array.from({ length: Math.min(limit, items.length) }, async () => {
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while (cursor < items.length) {
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const index = cursor;
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cursor += 1;
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results[index] = await worker(items[index]);
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}
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}),
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);
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return results;
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}
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async function enrichRows(rows: ResourceImportRow[], accounts: AccountRow[]) {
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const existingByProfile = new Map<string, AccountRow>();
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for (const account of accounts) {
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const profileUrl = normalizeProfileUrl(account.profile_url || "");
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if (profileUrl) {
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existingByProfile.set(identityKey(account.platform, profileUrl), account);
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}
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}
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const mcpConfig = resolveCollectionMcpConfig(
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getRuntimeEnv() as unknown as CollectionMcpBindings,
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);
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return mapConcurrent(rows, 4, async (row) => {
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if (row.errors.length > 0 || !row.profileUrl || row.platform !== "小红书") {
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return row;
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}
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const existing = existingByProfile.get(identityKey(row.platform, row.profileUrl));
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if (existing?.nickname && existing.public_account_id) {
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return {
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...row,
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nickname: existing.nickname,
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publicAccountId: existing.public_account_id,
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ipLocation: existing.ip_location || "待识别",
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followers: Number(existing.followers || 0),
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};
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}
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let details = await resolveXhsProfileDetailsFromMcp(row.profileUrl, mcpConfig)
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.catch(() => resolveXhsPublicAccountDetails(row.profileUrl));
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if (!details.nickname || !details.redId || details.followers === null) {
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const publicDetails = await resolveXhsPublicAccountDetails(row.profileUrl);
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details = {
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nickname: details.nickname || publicDetails.nickname,
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redId: details.redId || publicDetails.redId,
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followers: details.followers ?? publicDetails.followers,
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ipLocation: details.ipLocation || publicDetails.ipLocation,
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};
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}
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const errors = [...row.errors];
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const nickname = details.nickname?.trim() || existing?.nickname || "";
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const publicAccountId = details.redId?.trim() || existing?.public_account_id || "";
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if (!nickname) errors.push("无法识别账号名称，请确认主页可公开访问");
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if (!publicAccountId) errors.push("无法识别小红书号，请确认主页可公开访问");
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return {
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...row,
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nickname,
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publicAccountId,
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ipLocation: details.ipLocation?.trim() || existing?.ip_location || "待识别",
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followers: details.followers ?? Number(existing?.followers || 0),
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errors,
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};
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});
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}
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function analyzeRows(rows: ResourceImportRow[], accountRows: AccountRow[]) {
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const profileMap = new Map<string, AccountRow>();
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const publicIdMap = new Map<string, AccountRow>();
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const platformUidMap = new Map<string, AccountRow>();
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for (const account of accountRows) {
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const profileUrl = normalizeProfileUrl(account.profile_url || "");
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if (profileUrl) profileMap.set(identityKey(account.platform, profileUrl), account);
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if (account.public_account_id) {
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publicIdMap.set(identityKey(account.platform, account.public_account_id), account);
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}
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platformUidMap.set(identityKey(account.platform, account.platform_uid), account);
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}
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return rows.map<AnalyzedRow>((row) => {
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const platformUid = resourcePlatformUid(row);
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const profileMatch = row.profileUrl
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? profileMap.get(identityKey(row.platform, row.profileUrl))
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: undefined;
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const publicIdMatch = row.publicAccountId
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? publicIdMap.get(identityKey(row.platform, row.publicAccountId))
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: undefined;
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const uidMatch = platformUidMap.get(identityKey(row.platform, platformUid));
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const matches = [profileMatch, publicIdMatch, uidMatch].filter(
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(account): account is AccountRow => Boolean(account),
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);
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const matchedIds = [...new Set(matches.map((account) => account.id))];
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const errors = [...row.errors];
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if (matchedIds.length > 1) {
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errors.push("账号主页和账号ID匹配到不同的现有账号，请先核对");
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}
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const existing = matchedIds.length === 1 ? matches[0] : undefined;
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const accountId = existing?.id ?? `account-${crypto.randomUUID().slice(0, 12)}`;
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const analyzed: AnalyzedRow = {
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...row,
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errors,
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action: errors.length > 0 ? "error" : existing ? "update" : "create",
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accountId,
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platformUid: existing?.platform_uid ?? platformUid,
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cooperationSource: mergeCooperationSources(
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existing?.cooperation_source ?? "",
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row.cooperationSource,
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),
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};
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if (analyzed.action !== "error") {
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const virtual: AccountRow = {
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id: accountId,
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platform: row.platform,
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platform_uid: analyzed.platformUid,
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public_account_id: row.publicAccountId || existing?.public_account_id || "",
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nickname: row.nickname,
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profile_url: row.profileUrl || existing?.profile_url || "",
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ip_location: row.ipLocation || existing?.ip_location || "待识别",
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followers: row.followers || existing?.followers || 0,
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cooperation_source: analyzed.cooperationSource,
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};
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if (row.profileUrl) profileMap.set(identityKey(row.platform, row.profileUrl), virtual);
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if (row.publicAccountId) {
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publicIdMap.set(identityKey(row.platform, row.publicAccountId), virtual);
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}
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platformUidMap.set(identityKey(row.platform, analyzed.platformUid), virtual);
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}
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return analyzed;
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});
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}
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function summarize(rows: AnalyzedRow[]) {
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return {
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total: rows.length,
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create: rows.filter((row) => row.action === "create").length,
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update: rows.filter((row) => row.action === "update").length,
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error: rows.filter((row) => row.action === "error").length,
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};
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}
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export async function POST(request: Request) {
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if (!(await isManagerRequest(request))) return managerForbidden();
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try {
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await ensureSchema();
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const form = await request.formData();
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const file = form.get("file");
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const mode = String(form.get("mode") ?? "preview");
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if (!(file instanceof File)) {
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return Response.json({ error: "请选择需要导入的 Excel 文件" }, { status: 400 });
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}
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if (file.size <= 0 || file.size > RESOURCE_IMPORT_MAX_BYTES) {
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return Response.json({ error: "文件不能为空，且不能超过 5MB" }, { status: 400 });
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}
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const rows = parseResourceImportFile(file.name, new Uint8Array(await file.arrayBuffer()));
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const accounts = await loadAccounts();
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const enriched = await enrichRows(rows, accounts.results);
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const analyzed = analyzeRows(enriched, accounts.results);
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const summary = summarize(analyzed);
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if (mode !== "commit") {
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return Response.json({
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summary,
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rows: analyzed.slice(0, 100).map((row) => ({
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rowNumber: row.rowNumber,
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platform: row.platform,
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nickname: row.nickname,
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publicAccountId: row.publicAccountId,
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profileUrl: row.profileUrl,
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ipLocation: row.ipLocation,
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followers: row.followers,
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cooperationSource: row.cooperationSource,
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action: row.action,
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errors: row.errors,
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})),
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truncated: analyzed.length > 100,
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});
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}
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if (summary.error > 0) {
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return Response.json(
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{ error: `有 ${summary.error} 行数据未通过校验，请修正后重新上传`, summary },
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{ status: 400 },
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);
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}
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const db = getRawDb();
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const statements = analyzed.map((row) =>
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row.action === "update"
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? db
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.prepare(
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`UPDATE accounts SET
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nickname = ?,
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public_account_id = CASE WHEN ? != '' THEN ? ELSE public_account_id END,
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profile_url = CASE WHEN ? != '' THEN ? ELSE profile_url END,
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ip_location = CASE
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WHEN ? != '' AND ? != '待识别' THEN ? ELSE ip_location END,
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followers = CASE WHEN ? > 0 OR followers = 0 THEN ? ELSE followers END,
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cooperation_source = ?,
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last_seen_at = CURRENT_TIMESTAMP
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WHERE id = ?`,
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)
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.bind(
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row.nickname,
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row.publicAccountId,
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row.publicAccountId,
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row.profileUrl,
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row.profileUrl,
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row.ipLocation,
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row.ipLocation,
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row.ipLocation,
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row.followers,
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row.followers,
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row.cooperationSource,
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row.accountId,
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)
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: db
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.prepare(
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`INSERT INTO accounts
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(id, platform, platform_uid, public_account_id, nickname,
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profile_url, ip_location, followers, post_count, avg_views,
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cooperation_source)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, 0, 0, ?)`,
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)
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.bind(
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row.accountId,
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row.platform,
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row.platformUid,
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row.publicAccountId,
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row.nickname,
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row.profileUrl,
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row.ipLocation,
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row.followers,
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row.cooperationSource,
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),
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);
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if (statements.length > 0) await db.batch(statements);
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return Response.json({
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summary,
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message: `已导入 ${summary.create} 个新账号，更新 ${summary.update} 个已有账号`,
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});
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} catch (error) {
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const message = error instanceof Error ? error.message : "导入失败";
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return Response.json({ error: message }, { status: 400 });
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}
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}
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