@singlestore/elegance-sdk - npm Package Compare versions

Comparing version 0.0.11 to 0.0.12

dist/index.d.ts

@@ -91,2 +91,3 @@ import * as react from 'react';
     where?: MySQLWhere;
+    extra?: string;
 }>;
@@ -102,2 +103,3 @@ type FindManyResult<T extends any[] = any[]> = T;
     limit?: number;
+    extra?: string;
 }>;
@@ -107,10 +109,13 @@ type CreateEmbeddingBody = {
 };
-type VectorSearchResult = any[];
-type VectorSearchBody = WithDb<{
-    query: string;
-    embeddingField: string;
-    limit?: number;
-    minSimilarity?: number;
-    includeEmbedding?: boolean;
-}>;
+type CreateFileEmbeddingsResult = {
+    text: string;
+    embedding: Embedding;
+}[];
+type CreateFileEmbeddingsBody = {
+    dataURL: string;
+    textField?: string;
+    embeddingField?: string;
+    chunkSize?: number;
+};
+type CreateAndInsertFileEmbeddingsBody = WithDb<CreateFileEmbeddingsBody>;
 type CreateChatCompletionBody = CreateChatCompletionArgs[0];
@@ -128,13 +133,10 @@ type SearchChatCompletionResult = {
 } & Omit<CreateChatCompletionBody, "prompt">>;
-type CreateFileEmbeddingsResult = {
-    text: string;
-    embedding: Embedding;
-}[];
-type CreateFileEmbeddingsBody = {
-    dataURL: string;
-    textField?: string;
-    embeddingField?: string;
-    chunkSize?: number;
-};
-type CreateAndInsertFileEmbeddingsBody = WithDb<CreateFileEmbeddingsBody>;
+type VectorSearchResult = any[];
+type VectorSearchBody = WithDb<{
+    query: string;
+    embeddingField: string;
+    limit?: number;
+    minSimilarity?: number;
+    includeEmbedding?: boolean;
+}>;
 
@@ -141,0 +143,0 @@ type DefaultError = {

package.json

 {
   "name": "@singlestore/elegance-sdk",
-  "version": "0.0.11",
+  "version": "0.0.12",
   "license": "Apache-2.0",
@@ -5,0 +5,0 @@ "main": "./dist/index.js",

README.md

@@ -352,2 +352,3 @@ # SingleStore Elegance SDK
     where?: MySQLWhere;
+    extra?: string;
 }
@@ -384,2 +385,3 @@ ```
     limit?: number;
+    extra?: string;
 }
@@ -386,0 +388,0 @@ ```

server/dist/index.d.ts

@@ -125,2 +125,3 @@ import { ClientOptions } from 'openai';
     where?: MySQLWhere;
+    extra?: string;
 }>;
@@ -136,2 +137,3 @@ type FindManyResult<T extends any[] = any[]> = T;
     limit?: number;
+    extra?: string;
 }>;
@@ -141,10 +143,13 @@ type CreateEmbeddingBody = {
 };
-type VectorSearchResult = any[];
-type VectorSearchBody = WithDb<{
-    query: string;
-    embeddingField: string;
-    limit?: number;
-    minSimilarity?: number;
-    includeEmbedding?: boolean;
-}>;
+type CreateFileEmbeddingsResult = {
+    text: string;
+    embedding: Embedding;
+}[];
+type CreateFileEmbeddingsBody = {
+    dataURL: string;
+    textField?: string;
+    embeddingField?: string;
+    chunkSize?: number;
+};
+type CreateAndInsertFileEmbeddingsBody = WithDb<CreateFileEmbeddingsBody>;
 type CreateChatCompletionBody = CreateChatCompletionArgs[0];
@@ -162,13 +167,10 @@ type SearchChatCompletionResult = {
 } & Omit<CreateChatCompletionBody, "prompt">>;
-type CreateFileEmbeddingsResult = {
-    text: string;
-    embedding: Embedding;
-}[];
-type CreateFileEmbeddingsBody = {
-    dataURL: string;
-    textField?: string;
-    embeddingField?: string;
-    chunkSize?: number;
-};
-type CreateAndInsertFileEmbeddingsBody = WithDb<CreateFileEmbeddingsBody>;
+type VectorSearchResult = any[];
+type VectorSearchBody = WithDb<{
+    query: string;
+    embeddingField: string;
+    limit?: number;
+    minSimilarity?: number;
+    includeEmbedding?: boolean;
+}>;
 
@@ -175,0 +177,0 @@ declare function embeddingToBuffer(embedding: Embedding): Buffer;

server/dist/index.js

@@ -212,3 +212,3 @@ 'use strict';
       } else {
-        const { columns, where, skip, limit } = body;
+        const { columns, where, skip, limit, extra } = body;
         const tablePath = connection.tablePath(collection, db);
@@ -228,2 +228,4 @@ let query = `SELECT`;
           query += ` OFFSET ${skip}`;
+        if (extra)
+          query += ` ${extra}`;
         result = (yield connection.execute(query))[0];
@@ -249,3 +251,3 @@ }
       } else {
-        const { columns, where } = body;
+        const { columns, where, extra } = body;
         const tablePath = connection.tablePath(collection, db);
@@ -262,2 +264,4 @@ let query = `SELECT`;
         query += ` LIMIT 1`;
+        if (extra)
+          query += ` ${extra}`;
         result = (_b = (_a = yield connection.execute(query)) == null ? void 0 : _a[0]) == null ? void 0 : _b[0];
@@ -264,0 +268,0 @@ }

types/dist/index.d.ts

@@ -126,2 +126,3 @@ import { ClientOptions } from 'openai';
     where?: MySQLWhere;
+    extra?: string;
 }>;
@@ -137,2 +138,3 @@ type FindManyResult<T extends any[] = any[]> = T;
     limit?: number;
+    extra?: string;
 }>;
@@ -142,10 +144,14 @@ type CreateEmbeddingBody = {
 };
-type VectorSearchResult = any[];
-type VectorSearchBody = WithDb<{
-    query: string;
-    embeddingField: string;
-    limit?: number;
-    minSimilarity?: number;
-    includeEmbedding?: boolean;
-}>;
+type CreateFileEmbeddingsResult = {
+    text: string;
+    embedding: Embedding;
+}[];
+type CreateFileEmbeddingsBody = {
+    dataURL: string;
+    textField?: string;
+    embeddingField?: string;
+    chunkSize?: number;
+};
+type CreateAndInsertFileEmbeddingsResult = CreateFileEmbeddingsResult;
+type CreateAndInsertFileEmbeddingsBody = WithDb<CreateFileEmbeddingsBody>;
 type CreateChatCompletionBody = CreateChatCompletionArgs[0];
@@ -163,14 +169,10 @@ type SearchChatCompletionResult = {
 } & Omit<CreateChatCompletionBody, "prompt">>;
-type CreateFileEmbeddingsResult = {
-    text: string;
-    embedding: Embedding;
-}[];
-type CreateFileEmbeddingsBody = {
-    dataURL: string;
-    textField?: string;
-    embeddingField?: string;
-    chunkSize?: number;
-};
-type CreateAndInsertFileEmbeddingsResult = CreateFileEmbeddingsResult;
-type CreateAndInsertFileEmbeddingsBody = WithDb<CreateFileEmbeddingsBody>;
+type VectorSearchResult = any[];
+type VectorSearchBody = WithDb<{
+    query: string;
+    embeddingField: string;
+    limit?: number;
+    minSimilarity?: number;
+    includeEmbedding?: boolean;
+}>;
 
@@ -177,0 +179,0 @@ type DefaultError = {

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Found 1 instance in 1 package

Fixed alerts

License Policy Violation

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This package is not allowed per your license policy. Review the package's license to ensure compliance.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

121080

increased by0.32%

Lines of code

2700

increased by0.52%

Number of lines in readme file

657

increased by0.31%

No dependency changes