fix: add dataconnect-generated stubs and fix TypeScript errors in emb…

packages/embeddings/src/dataconnect-generated/index.d.ts

@@ -0,0 +1,49 @@
+/**
+ * Stub types for Firebase Data Connect SDK
+ *
+ * In production, this file would be auto-generated by Firebase Data Connect.
+ * For Vercel builds where Data Connect isn't available, we provide stubs
+ * that throw helpful errors at runtime.
+ */
+export interface VideoEmbedding {
+    id: string;
+    segmentType: string;
+    segmentIndex: number;
+    content: string;
+    job?: {
+        id: string;
+        title?: string;
+        videoUrl?: string;
+    };
+}
+export interface ListEmbeddingsResponse {
+    data: {
+        videoEmbeddings: VideoEmbedding[];
+    };
+}
+export interface GetJobEmbeddingsResponse {
+    data: {
+        videoEmbeddings: VideoEmbedding[];
+    };
+}
+type UUID = `${string}-${string}-${string}-${string}-${string}`;
+/**
+ * List embeddings - stub that throws when Data Connect unavailable
+ */
+export declare function listEmbeddings(_params: {
+    limit: number;
+}): Promise<ListEmbeddingsResponse>;
+/**
+ * Get embeddings for a specific job - stub
+ */
+export declare function getJobEmbeddings(_params: {
+    jobId: UUID;
+}): Promise<GetJobEmbeddingsResponse>;
+/**
+ * Delete embeddings for a job - stub
+ */
+export declare function deleteJobEmbeddings(_params: {
+    jobId: UUID;
+}): Promise<void>;
+export {};
+//# sourceMappingURL=index.d.ts.map

packages/embeddings/src/dataconnect-generated/index.ts

@@ -0,0 +1,74 @@
+/**
+ * Stub types for Firebase Data Connect SDK
+ *
+ * In production, this file would be auto-generated by Firebase Data Connect.
+ * For Vercel builds where Data Connect isn't available, we provide stubs
+ * that throw helpful errors at runtime.
+ */
+
+// Type definitions matching expected Data Connect schema
+export interface VideoEmbedding {
+  id: string;
+  segmentType: string;
+  segmentIndex: number;
+  content: string;
+  job?: {
+    id: string;
+    title?: string;
+    videoUrl?: string;
+  };
+}
+
+export interface ListEmbeddingsResponse {
+  data: {
+    videoEmbeddings: VideoEmbedding[];
+  };
+}
+
+export interface GetJobEmbeddingsResponse {
+  data: {
+    videoEmbeddings: VideoEmbedding[];
+  };
+}
+
+// UUID type for job IDs
+type UUID = `${string}-${string}-${string}-${string}-${string}`;
+
+/**
+ * List embeddings - stub that throws when Data Connect unavailable
+ */
+export async function listEmbeddings(_params: {
+  limit: number;
+}): Promise<ListEmbeddingsResponse> {
+  throw new Error(
+    "Firebase Data Connect is not configured. " +
+      "Run 'firebase dataconnect:sdk:generate' to generate the SDK, " +
+      "or use raw SQL queries for embedding operations."
+  );
+}
+
+/**
+ * Get embeddings for a specific job - stub
+ */
+export async function getJobEmbeddings(_params: {
+  jobId: UUID;
+}): Promise<GetJobEmbeddingsResponse> {
+  throw new Error(
+    "Firebase Data Connect is not configured. " +
+      "Run 'firebase dataconnect:sdk:generate' to generate the SDK, " +
+      "or use raw SQL queries for embedding operations."
+  );
+}
+
+/**
+ * Delete embeddings for a job - stub
+ */
+export async function deleteJobEmbeddings(_params: {
+  jobId: UUID;
+}): Promise<void> {
+  throw new Error(
+    "Firebase Data Connect is not configured. " +
+      "Run 'firebase dataconnect:sdk:generate' to generate the SDK, " +
+      "or use raw SQL queries for embedding operations."
+  );
+}

packages/embeddings/src/embedding.ts

@@ -17,7 +17,8 @@ import {
   listEmbeddings,
   getJobEmbeddings,
   deleteJobEmbeddings,
-} from "../dataconnect-generated";
+  type VideoEmbedding,
+} from "./dataconnect-generated";
 
 // =============================================================================
 // Types
@@ -108,7 +109,9 @@ export async function generateEmbedding(text: string): Promise<number[]> {
     throw new Error(`Embedding API error: ${response.status} ${await response.text()}`);
   }
 
-  const data = await response.json();
+  const data = (await response.json()) as {
+    predictions: Array<{ embeddings: { values: number[] } }>;
+  };
   return data.predictions[0].embeddings.values;
 }
 
@@ -134,8 +137,10 @@ export async function generateEmbeddings(texts: string[]): Promise<number[][]> {
     throw new Error(`Embedding API error: ${response.status} ${await response.text()}`);
   }
 
-  const data = await response.json();
-  return data.predictions.map((p: { embeddings: { values: number[] } }) => p.embeddings.values);
+  const data = (await response.json()) as {
+    predictions: Array<{ embeddings: { values: number[] } }>;
+  };
+  return data.predictions.map((p) => p.embeddings.values);
 }
 
 /**
@@ -148,7 +153,7 @@ async function getAccessToken(): Promise<string> {
       "http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token",
       { headers: { "Metadata-Flavor": "Google" } }
     );
-    const data = await response.json();
+    const data = (await response.json()) as { access_token: string };
     return data.access_token;
   }
 
@@ -356,7 +361,7 @@ export async function embedJobAnalysis(
  */
 export async function getEmbeddingsForJob(jobId: string): Promise<EmbeddingRecord[]> {
   const result = await getJobEmbeddings({ jobId: jobId as `${string}-${string}-${string}-${string}-${string}` });
-  return result.data.videoEmbeddings.map((e) => ({
+  return result.data.videoEmbeddings.map((e: VideoEmbedding) => ({
     id: e.id,
     segmentType: e.segmentType,
     segmentIndex: e.segmentIndex,
@@ -377,7 +382,7 @@ export async function clearJobEmbeddings(jobId: string): Promise<void> {
  */
 export async function listRecentEmbeddings(limit: number = 100): Promise<EmbeddingRecord[]> {
   const result = await listEmbeddings({ limit });
-  return result.data.videoEmbeddings.map((e) => ({
+  return result.data.videoEmbeddings.map((e: VideoEmbedding) => ({
     id: e.id,
     segmentType: e.segmentType,
     segmentIndex: e.segmentIndex,