From 721345f2856c2b334f67520d21de5822990354a3 Mon Sep 17 00:00:00 2001
From: Jen Hamon <jhamon@pinecone.io>
Date: Fri, 18 Oct 2024 10:27:41 -0400
Subject: [PATCH] Remove scripts committed accidentally

---
 app.py  | 31 -----------------------------
 app2.py | 16 ---------------
 app3.py | 62 ---------------------------------------------------------
 3 files changed, 109 deletions(-)
 delete mode 100644 app.py
 delete mode 100644 app2.py
 delete mode 100644 app3.py

diff --git a/app.py b/app.py
deleted file mode 100644
index 562241c8..00000000
--- a/app.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from pinecone.grpc import PineconeGRPC, GRPCClientConfig
-
-# Initialize a client. An API key must be passed, but the
-# value does not matter.
-pc = PineconeGRPC(api_key="test_api_key")
-
-# Target the indexes. Use the host and port number along with disabling tls.
-index1 = pc.Index(host="localhost:5081", grpc_config=GRPCClientConfig(secure=False))
-index2 = pc.Index(host="localhost:5082", grpc_config=GRPCClientConfig(secure=False))
-
-# You can now perform data plane operations with index1 and index2
-
-dimension = 3
-
-
-def upserts():
-    vectors = []
-    for i in range(0, 100):
-        vectors.append((f"vec{i}", [i] * dimension))
-
-    print(len(vectors))
-
-    index1.upsert(vectors=vectors, namespace="ns2")
-    index2.upsert(vectors=vectors, namespace="ns2")
-
-
-upserts()
-print(index1.describe_index_stats())
-
-print(index1.query(id="vec1", top_k=2, namespace="ns2", include_values=True))
-print(index1.query(id="vec1", top_k=10, namespace="", include_values=True))
diff --git a/app2.py b/app2.py
deleted file mode 100644
index c8349e70..00000000
--- a/app2.py
+++ /dev/null
@@ -1,16 +0,0 @@
-from pinecone.grpc import PineconeGRPC
-from pinecone import Pinecone
-
-pc = Pinecone(api_key="b1cb8ba4-b3d1-458f-9c32-8dd10813459a")
-pcg = PineconeGRPC(api_key="b1cb8ba4-b3d1-458f-9c32-8dd10813459a")
-
-index = pc.Index("jen2")
-indexg = pcg.Index(name="jen2", use_asyncio=True)
-
-# Rest call fails
-# print(index.upsert(vectors=[("vec1", [1, 2])]))
-
-# GRPC succeeds
-print(indexg.upsert(vectors=[("vec1", [1, 2])]))
-
-# print(index.fetch(ids=['vec1']))
diff --git a/app3.py b/app3.py
deleted file mode 100644
index 5e49daff..00000000
--- a/app3.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import asyncio
-from pinecone.grpc import PineconeGRPC as Pinecone, Vector
-
-import time
-import random
-import pandas as pd
-
-
-# Enable gRPC tracing and verbosity for more detailed logs
-# os.environ["GRPC_VERBOSITY"] = "DEBUG"
-# os.environ["GRPC_TRACE"] = "all"
-
-
-# Generate a large set of vectors (as an example)
-def generate_vectors(num_vectors, dimension):
-    return [
-        Vector(id=f"vector_{i}", values=[random.random()] * dimension) for i in range(num_vectors)
-    ]
-
-
-def load_vectors():
-    df = pd.read_parquet("test_records_100k_dim1024.parquet")
-    df["values"] = df["values"].apply(lambda x: [float(v) for v in x])
-
-    vectors = [Vector(id=row.id, values=list(row.values)) for row in df.itertuples()]
-    return vectors
-
-
-async def main():
-    # Create a semaphore to limit concurrency (e.g., max 5 concurrent requests)
-    s = time.time()
-    # all_vectors = load_vectors()
-    all_vectors = generate_vectors(1000, 1024)
-    f = time.time()
-    print(f"Loaded {len(all_vectors)} vectors in {f-s:.2f} seconds")
-
-    start_time = time.time()
-
-    # Same setup as before...
-    pc = Pinecone(api_key="b1cb8ba4-b3d1-458f-9c32-8dd10813459a")
-    index = pc.Index(
-        # index_host="jen2-dojoi3u.svc.aped-4627-b74a.pinecone.io"
-        host="jen1024-dojoi3u.svc.apw5-4e34-81fa.pinecone.io",
-        use_asyncio=True,
-    )
-
-    batch_size = 150
-    namespace = "asyncio-py7"
-    res = await index.upsert(
-        vectors=all_vectors, batch_size=batch_size, namespace=namespace, show_progress=True
-    )
-
-    print(res)
-
-    end_time = time.time()
-
-    total_time = end_time - start_time
-    print(f"All tasks completed in {total_time:.2f} seconds")
-    print(f"Namespace: {namespace}")
-
-
-asyncio.run(main())