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fix(codegen/cli): make autoEmbedWhere/autoEmbedInput generic in embedder template #1005

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Merged
pyramation merged 1 commit into from
Apr 18, 2026
+12 −10
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fix(codegen/cli): make autoEmbedWhere/autoEmbedInput generic in embedder template #1005

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22 changes: 12 additions & 10 deletions graphql/codegen/src/core/codegen/templates/embedder.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -113,13 +113,14 @@ function buildEmbedder(config: EmbedderConfig): EmbedderFunction | null {
* @param embedder - The resolved embedder function
* @returns The modified where clause
*/
export async function autoEmbedWhere(
where: Record<string, unknown>,
export async function autoEmbedWhere<T extends object>(
where: T,
vectorFieldNames: string[],
embedder: EmbedderFunction,
): Promise<Record<string, unknown>> {
): Promise<T> {
const rec = where as unknown as Record<string, unknown>;
for (const fieldName of vectorFieldNames) {
const fieldValue = where[fieldName];
const fieldValue = rec[fieldName];
if (fieldValue && typeof fieldValue === 'object') {
const input = fieldValue as Record<string, unknown>;
// If 'vector' is a string, embed it
Expand All @@ -132,7 +133,7 @@ export async function autoEmbedWhere(
// Shorthand: --where.vectorEmbedding "text" with --auto-embed
// becomes { vector: [embedded], metric: 'COSINE' }
const embedding = await embedder(fieldValue);
where[fieldName] = { vector: embedding };
rec[fieldName] = { vector: embedding };
}
}
return where;
Expand All @@ -157,17 +158,18 @@ export async function autoEmbedWhere(
* @param embedder - The resolved embedder function
* @returns The modified data object with text values replaced by vectors
*/
export async function autoEmbedInput(
data: Record<string, unknown>,
export async function autoEmbedInput<T extends object>(
data: T,
vectorFieldNames: string[],
embedder: EmbedderFunction,
): Promise<Record<string, unknown>> {
): Promise<T> {
const rec = data as unknown as Record<string, unknown>;
for (const fieldName of vectorFieldNames) {
const fieldValue = data[fieldName];
const fieldValue = rec[fieldName];
if (typeof fieldValue === 'string') {
// Text string → embed to vector array
const embedding = await embedder(fieldValue);
data[fieldName] = embedding;
rec[fieldName] = embedding;
}
// If it's already an array (pre-computed vector), leave it as-is
}
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