79 lines
3.3 KiB
Python
79 lines
3.3 KiB
Python
import json
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import os
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import sys
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from datetime import datetime
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from unittest.mock import AsyncMock, Mock, patch
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import pytest
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import base64
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import httpx
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import litellm
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from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler
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titan_embedding_response = {
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"embedding": [0.1, 0.2, 0.3],
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"inputTextTokenCount": 10
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}
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cohere_embedding_response = {
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"embeddings": [[0.1, 0.2, 0.3]],
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"inputTextTokenCount": 10
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}
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img_base_64 = "data:image/png;base64,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"
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@pytest.mark.parametrize(
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"model,input_type,embed_response",
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[
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("bedrock/amazon.titan-embed-text-v1", "text", titan_embedding_response), # V1 text model
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("bedrock/amazon.titan-embed-text-v2:0", "text", titan_embedding_response), # V2 text model
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("bedrock/amazon.titan-embed-image-v1", "image", titan_embedding_response), # Image model
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("bedrock/cohere.embed-english-v3", "text", cohere_embedding_response), # Cohere English
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("bedrock/cohere.embed-multilingual-v3", "text", cohere_embedding_response), # Cohere Multilingual
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],
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)
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def test_bedrock_embedding_models(model, input_type, embed_response):
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"""Test embedding functionality for all Bedrock models with different input types"""
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litellm.set_verbose = True
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client = HTTPHandler()
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with patch.object(client, "post") as mock_post:
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mock_response = Mock()
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mock_response.status_code = 200
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mock_response.text = json.dumps(embed_response)
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mock_response.json = lambda: json.loads(mock_response.text)
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mock_post.return_value = mock_response
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# Prepare input based on type
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input_data = img_base_64 if input_type == "image" else "Hello world from litellm"
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try:
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response = litellm.embedding(
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model=model,
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input=input_data,
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client=client,
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aws_region_name="us-west-2",
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aws_bedrock_runtime_endpoint="https://bedrock-runtime.us-west-2.amazonaws.com",
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)
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# Verify response structure
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assert isinstance(response, litellm.EmbeddingResponse)
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print(response.data)
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assert isinstance(response.data[0]['embedding'], list)
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assert len(response.data[0]['embedding']) == 3 # Based on mock response
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# Fetch request body
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request_data = json.loads(mock_post.call_args.kwargs["data"])
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# Verify AWS params are not in request body
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aws_params = ["aws_region_name", "aws_bedrock_runtime_endpoint"]
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for param in aws_params:
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assert param not in request_data, f"AWS param {param} should not be in request body"
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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