feat: add MCP creator screenshot metrics recognition

lib/mcp-collection-client.ts

@@ -254,6 +254,7 @@ async function invokeMcpTool(
   timeoutMs: number,
   name: string,
   args: Record<string, unknown>,
+  allowText = false,
 ): Promise<ToolResult> {
   const result = await postMcp(
     fetchImpl,
@@ -277,6 +278,12 @@ async function invokeMcpTool(
   try {
     payload = JSON.parse(text);
   } catch {
+    if (allowText) {
+      return {
+        isError: result.envelope?.result?.isError === true,
+        payload: { text },
+      };
+    }
     if (result.envelope?.result?.isError === true) {
       return {
         isError: true,
@@ -305,6 +312,7 @@ async function callMcpTool(
   timeoutMs: number,
   name: string,
   args: Record<string, unknown>,
+  allowText = false,
 ): Promise<ToolResult> {
   const nested = await invokeMcpTool(
     fetchImpl,
@@ -313,6 +321,7 @@ async function callMcpTool(
     timeoutMs,
     name,
     { request: args },
+    allowText,
   );
   if (!isToolArgumentShapeError(nested)) return nested;
   return invokeMcpTool(
@@ -322,10 +331,86 @@ async function callMcpTool(
     timeoutMs,
     name,
     args,
+    allowText,
   );
 }
 
-function metricsFromToolResult(result: ToolResult): XhsPublicMetrics {
+function imageToolText(value: unknown) {
+  if (typeof value === "string") return value;
+  const root = asRecord(value);
+  if (!root) return "";
+  return [root.text, root.description, root.content, root.message, root.error]
+    .flatMap((item) => (Array.isArray(item) ? item : [item]))
+    .map((item) => {
+      if (typeof item === "string") return item;
+      const record = asRecord(item);
+      return String(record?.text ?? record?.description ?? "");
+    })
+    .filter(Boolean)
+    .join("\n");
+}
+
+function metricFromImageText(text: string, labels: string[], label: string) {
+  const pattern = labels.join("|");
+  const match = text.match(
+    new RegExp(`(?:${pattern})\\s*[：:]?\\s*([\\d,.]+(?:万|w|千|k)?)`, "i"),
+  );
+  if (!match) return null;
+  try {
+    return metricValue(match[1], label);
+  } catch {
+    return null;
+  }
+}
+
+function creatorMetricsFromImageResult(result: ToolResult) {
+  if (result.isError) {
+    const detail = imageToolText(result.payload);
+    throw new Error(
+      `图片识别 MCP 调用失败${detail ? `：${safeMessage(detail, "")}` : ""}`,
+    );
+  }
+  const text = imageToolText(result.payload);
+  const exposure = metricFromImageText(
+    text,
+    ["曝光量", "曝光", "impressions", "exposure"],
+    "曝光量",
+  );
+  const views = metricFromImageText(
+    text,
+    ["阅读量", "阅读", "views", "view_count", "view count"],
+    "阅读量",
+  );
+  if (exposure === null || views === null) {
+    throw new Error("图片识别未找到曝光量和阅读量");
+  }
+  return { exposure, views };
+}
+
+export async function extractCreatorMetricsFromMcp(
+  imageUrl: string,
+  config: CollectionMcpConfig,
+  fetchImpl: typeof fetch = fetch,
+) {
+  const endpoint = buildMcpUrl(config);
+  const timeoutMs = Math.max(5_000, config.timeoutMs ?? 30_000);
+  const sessionId = await createMcpSession(fetchImpl, endpoint, timeoutMs);
+  const result = await callMcpTool(
+    fetchImpl,
+    endpoint,
+    sessionId,
+    timeoutMs,
+    "analyze_image",
+    { image_url: imageUrl },
+    true,
+  );
+  return creatorMetricsFromImageResult(result);
+}
+
+function metricsFromToolResult(
+  result: ToolResult,
+  toolName = "fetch_content_detail",
+): XhsPublicMetrics {
   const root = asRecord(result.payload);
   const response = asRecord(root?.response) ?? root;
   const data = asRecord(response?.data) ?? asRecord(root?.data);
@@ -337,14 +422,18 @@ function metricsFromToolResult(result: ToolResult): XhsPublicMetrics {
     success === false ||
     (Number.isFinite(code) && code >= 400)
   ) {
+    const providerCode = Number(response?.code);
+    const codeLabel = Number.isFinite(providerCode)
+      ? `（code ${providerCode}）`
+      : "";
     throw new Error(
-      safeMessage(
+      `MCP工具 ${toolName} 返回失败${codeLabel}：${safeMessage(
         response?.msg ?? response?.message ?? root?.message,
         "公开数据采集失败",
-      ),
+      )}`,
     );
   }
-  if (!data) throw new Error("采集结果缺少互动数据");
+  if (!data) throw new Error(`MCP工具 ${toolName} 未返回互动数据`);
 
   const count = (value: unknown, label: string) =>
     value === null || value === undefined || value === ""
@@ -1156,7 +1245,7 @@ async function collectInSession(
       auto_cookie: true,
     },
   );
-  return metricsFromToolResult(primary);
+  return metricsFromToolResult(primary, "fetch_content_detail");
 }
 
 export function resolveCollectionMcpConfig(