add test bench script

.gitignore

@@ -4,3 +4,4 @@ dist
 .cache
 coverage
 *.pyc
+venv

test_bench.py

@@ -0,0 +1,51 @@
+from python.starpoint.db import Client
+
+SP_API_KEY = ""
+SP_COLLECTION_ID = ""
+client = Client(api_key=SP_API_KEY, reader_host="http://127.0.0.1:9000/", writer_host="http://127.0.0.1:3000/")
+
+embeddings = [{
+        "values": [8.0, 0.0, 0.0],
+        "dimensionality": 3
+    }]
+
+data = {"mock": "value"}
+
+insert_res = client.column_insert(
+    collection_id=SP_COLLECTION_ID,
+    embeddings=embeddings,
+    document_metadatas=[data]
+)
+
+docs = client.query(collection_id=SP_COLLECTION_ID, sql="SELECT * FROM collection", query_embedding={
+        "values": [1.0, 0.0, 0.0, 2.0, 0.0, 0.0, 3.0, 0.0, 0.0],
+        "dimensionality": 3
+})
+print(docs)
+
+id = docs["results"][0]['__id']
+embeddings = [{
+        "values": [2.2, 3.3, 3.3, 4.4, 5.5, 6.6],
+        "dimensionality": 3
+    }]
+docs2 = client.column_update(
+    ids=[id],
+    collection_id=SP_COLLECTION_ID,
+    embeddings=embeddings,
+    document_metadatas=[{"mock": "value4"}]
+)
+
+docs2 = client.update(
+    collection_id=SP_COLLECTION_ID,
+    documents=[{"id": id, "metadata": {"mock": "value4444"}}]
+)
+
+docs3 = client.query(collection_id=SP_COLLECTION_ID, sql="SELECT * FROM collection", query_embedding={
+        "values": [1.1, 1.1, 1.1],
+        "dimensionality": 3
+    })
+
+print(docs3)
+
+# clean up
+client.delete(collection_id=SP_COLLECTION_ID, documents=[result["__id"] for result in docs["results"]])