From 8cdb82bd9dbb7b5684c66658ab31f03f6fe0f065 Mon Sep 17 00:00:00 2001
From: Kye <kye@apacmediasolutions.com>
Date: Fri, 22 Dec 2023 21:59:57 -0500
Subject: [PATCH] [CLEANUP][ADA]

---
 swarms/models/simple_ada.py | 22 ---------
 tests/models/test_ada.py    | 91 -------------------------------------
 2 files changed, 113 deletions(-)
 delete mode 100644 swarms/models/simple_ada.py
 delete mode 100644 tests/models/test_ada.py

diff --git a/swarms/models/simple_ada.py b/swarms/models/simple_ada.py
deleted file mode 100644
index e96995c4..00000000
--- a/swarms/models/simple_ada.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from openai import OpenAI
-
-client = OpenAI()
-
-
-def get_ada_embeddings(
-    text: str, model: str = "text-embedding-ada-002"
-):
-    """
-    Simple function to get embeddings from ada
-
-    Usage:
-    >>> get_ada_embeddings("Hello World")
-    >>> get_ada_embeddings("Hello World", model="text-embedding-ada-001")
-
-    """
-
-    text = text.replace("\n", " ")
-
-    return client.embeddings.create(input=[text], model=model)[
-        "data"
-    ][0]["embedding"]
diff --git a/tests/models/test_ada.py b/tests/models/test_ada.py
deleted file mode 100644
index 43895e79..00000000
--- a/tests/models/test_ada.py
+++ /dev/null
@@ -1,91 +0,0 @@
-# test_embeddings.py
-
-import pytest
-import openai
-from unittest.mock import patch
-from swarms.models.simple_ada import (
-    get_ada_embeddings,
-)  # Adjust this import path to your project structure
-from os import getenv
-from dotenv import load_dotenv
-
-load_dotenv()
-
-
-# Fixture for test texts
-@pytest.fixture
-def test_texts():
-    return [
-        "Hello World",
-        "This is a test string with newline\ncharacters",
-        "A quick brown fox jumps over the lazy dog",
-    ]
-
-
-# Basic Test
-def test_get_ada_embeddings_basic(test_texts):
-    with patch("openai.resources.Embeddings.create") as mock_create:
-        # Mocking the OpenAI API call
-        mock_create.return_value = {
-            "data": [{"embedding": [0.1, 0.2, 0.3]}]
-        }
-
-        for text in test_texts:
-            embedding = get_ada_embeddings(text)
-            assert embedding == [
-                0.1,
-                0.2,
-                0.3,
-            ], "Embedding does not match expected output"
-            mock_create.assert_called_with(
-                input=[text.replace("\n", " ")],
-                model="text-embedding-ada-002",
-            )
-
-
-# Parameterized Test
-@pytest.mark.parametrize(
-    "text, model, expected_call_model",
-    [
-        (
-            "Hello World",
-            "text-embedding-ada-002",
-            "text-embedding-ada-002",
-        ),
-        (
-            "Hello World",
-            "text-embedding-ada-001",
-            "text-embedding-ada-001",
-        ),
-    ],
-)
-def test_get_ada_embeddings_models(text, model, expected_call_model):
-    with patch("openai.resources.Embeddings.create") as mock_create:
-        mock_create.return_value = {
-            "data": [{"embedding": [0.1, 0.2, 0.3]}]
-        }
-
-        _ = get_ada_embeddings(text, model=model)
-        mock_create.assert_called_with(
-            input=[text], model=expected_call_model
-        )
-
-
-# Exception Test
-def test_get_ada_embeddings_exception():
-    with patch("openai.resources.Embeddings.create") as mock_create:
-        mock_create.side_effect = openai.OpenAIError("Test error")
-        with pytest.raises(openai.OpenAIError):
-            get_ada_embeddings("Some text")
-
-
-# Tests for environment variable loading
-def test_env_var_loading(monkeypatch):
-    monkeypatch.setenv("OPENAI_API_KEY", "testkey123")
-    with patch("openai.resources.Embeddings.create"):
-        assert (
-            getenv("OPENAI_API_KEY") == "testkey123"
-        ), "Environment variable for API key is not set correctly"
-
-
-# ... more tests to cover other aspects such as different input types, large inputs, invalid inputs, etc.