mirror of
https://github.com/tiennm99/litellm.git
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240 lines
8.3 KiB
Python
240 lines
8.3 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, MagicMock
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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 httpx
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import pytest
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import litellm
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from typing import AsyncGenerator
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from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
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from litellm.types.passthrough_endpoints.pass_through_endpoints import EndpointType
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from litellm.types.passthrough_endpoints.pass_through_endpoints import (
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PassthroughStandardLoggingPayload,
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)
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from litellm.proxy.pass_through_endpoints.success_handler import (
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PassThroughEndpointLogging,
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)
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from litellm.proxy.pass_through_endpoints.streaming_handler import (
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PassThroughStreamingHandler,
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)
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# Helper function to mock async iteration
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async def aiter_mock(iterable):
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for item in iterable:
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yield item
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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"endpoint_type,url_route",
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[
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(
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EndpointType.VERTEX_AI,
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"v1/projects/pathrise-convert-1606954137718/locations/us-central1/publishers/google/models/gemini-1.0-pro:generateContent",
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),
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(EndpointType.ANTHROPIC, "/v1/messages"),
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],
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)
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async def test_chunk_processor_yields_raw_bytes(endpoint_type, url_route):
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"""
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Test that the chunk_processor yields raw bytes
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This is CRITICAL for pass throughs streaming with Vertex AI and Anthropic
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"""
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# Mock inputs
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response = AsyncMock(spec=httpx.Response)
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raw_chunks = [
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b'{"id": "1", "content": "Hello"}',
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b'{"id": "2", "content": "World"}',
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b'\n\ndata: {"id": "3"}', # Testing different byte formats
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]
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# Mock aiter_bytes to return an async generator
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async def mock_aiter_bytes():
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for chunk in raw_chunks:
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yield chunk
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response.aiter_bytes = mock_aiter_bytes
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request_body = {"key": "value"}
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litellm_logging_obj = MagicMock()
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start_time = datetime.now()
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passthrough_success_handler_obj = MagicMock()
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litellm_logging_obj.async_success_handler = AsyncMock()
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# Capture yielded chunks and perform detailed assertions
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received_chunks = []
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async for chunk in PassThroughStreamingHandler.chunk_processor(
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response=response,
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request_body=request_body,
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litellm_logging_obj=litellm_logging_obj,
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endpoint_type=endpoint_type,
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start_time=start_time,
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passthrough_success_handler_obj=passthrough_success_handler_obj,
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url_route=url_route,
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):
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# Assert each chunk is bytes
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assert isinstance(chunk, bytes), f"Chunk should be bytes, got {type(chunk)}"
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# Assert no decoding/encoding occurred (chunk should be exactly as input)
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assert (
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chunk in raw_chunks
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), f"Chunk {chunk} was modified during processing. For pass throughs streaming, chunks should be raw bytes"
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received_chunks.append(chunk)
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# Assert all chunks were processed
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assert len(received_chunks) == len(raw_chunks), "Not all chunks were processed"
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# collected chunks all together
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assert b"".join(received_chunks) == b"".join(
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raw_chunks
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), "Collected chunks do not match raw chunks"
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@pytest.mark.asyncio
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async def test_route_streaming_logging_runs_async_handler_for_sdk_passthrough():
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"""
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SDK pass-through streaming (anthropic_messages, google generate_content) must run
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the async success handler so async-only loggers record the assembled stream.
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Regression for duplicate-trace dedupe: dispatch_success_handlers treated these as
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sync SDK requests because call_type is not ``pass_through_endpoint`` and
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litellm_params carries no ``acompletion`` flag, so only the sync success_handler
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ran and CustomLogger.async_log_success_event never fired.
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"""
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import time
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from litellm.types.utils import CallTypes
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logging_obj = LiteLLMLoggingObj(
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model="claude-sonnet-4-5",
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messages=[{"role": "user", "content": "hi"}],
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stream=True,
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call_type=CallTypes.anthropic_messages.value,
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start_time=time.time(),
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litellm_call_id="test-id",
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function_id="fn",
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)
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logging_obj.model_call_details["litellm_params"] = {"anthropic_messages": True}
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with (
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patch.object(
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PassThroughStreamingHandler,
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"_build_passthrough_logging_result",
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return_value=({"id": "slp"}, {}),
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),
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patch.object(
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logging_obj, "async_success_handler", new_callable=AsyncMock
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) as mock_async,
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patch.object(
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logging_obj, "success_handler", new_callable=MagicMock
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) as mock_sync,
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patch.object(
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logging_obj,
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"_should_run_sync_callbacks_for_async_calls",
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return_value=False,
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),
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):
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await PassThroughStreamingHandler._route_streaming_logging_to_handler(
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litellm_logging_obj=logging_obj,
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passthrough_success_handler_obj=MagicMock(),
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url_route="/v1/messages",
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request_body={},
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endpoint_type=EndpointType.ANTHROPIC,
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start_time=datetime.now(),
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raw_bytes=[],
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end_time=datetime.now(),
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)
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mock_async.assert_awaited_once()
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mock_sync.assert_not_called()
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@pytest.mark.asyncio
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async def test_handle_logging_runs_async_handler_for_passthrough():
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"""
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Non-streaming pass-through logging (_handle_logging) must always run the
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async success handler so async-only loggers (e.g. the proxy spend logger)
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record the request.
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_handle_logging is only ever reached from pass_through_async_success_handler
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(an async context), so it forces async dispatch via prefer_async_handlers.
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This pins that contract independent of the call-type classification: even a
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call_type that _is_sync_litellm_request would classify as sync (here
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"completion" with no async marker in litellm_params) must still reach
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async_success_handler. Without prefer_async_handlers=True the sync-only
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branch would return early and async_log_success_event would never fire.
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"""
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import time
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from litellm.types.utils import CallTypes
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logging_obj = LiteLLMLoggingObj(
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model="claude-sonnet-4-5",
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messages=[{"role": "user", "content": "hi"}],
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stream=False,
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call_type=CallTypes.completion.value,
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start_time=time.time(),
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litellm_call_id="test-id",
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function_id="fn",
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)
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logging_obj.model_call_details["litellm_params"] = {}
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handler = PassThroughEndpointLogging()
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with (
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patch.object(
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logging_obj, "async_success_handler", new_callable=AsyncMock
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) as mock_async,
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patch.object(
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logging_obj, "success_handler", new_callable=MagicMock
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) as mock_sync,
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patch.object(
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logging_obj,
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"_should_run_sync_callbacks_for_async_calls",
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return_value=False,
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),
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):
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await handler._handle_logging(
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logging_obj=logging_obj,
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standard_logging_response_object={"id": "slp"},
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result="",
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start_time=datetime.now(),
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end_time=datetime.now(),
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cache_hit=False,
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)
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mock_async.assert_awaited_once()
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mock_sync.assert_not_called()
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def test_convert_raw_bytes_to_str_lines():
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"""
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Test that the _convert_raw_bytes_to_str_lines method correctly converts raw bytes to a list of strings
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"""
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# Test case 1: Single chunk
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raw_bytes = [b'data: {"content": "Hello"}\n']
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result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
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assert result == ['data: {"content": "Hello"}']
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# Test case 2: Multiple chunks
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raw_bytes = [b'data: {"content": "Hello"}\n', b'data: {"content": "World"}\n']
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result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
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assert result == ['data: {"content": "Hello"}', 'data: {"content": "World"}']
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# Test case 3: Empty input
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raw_bytes = []
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result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
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assert result == []
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# Test case 4: Chunks with empty lines
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raw_bytes = [b'data: {"content": "Hello"}\n\n', b'\ndata: {"content": "World"}\n']
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result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
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assert result == ['data: {"content": "Hello"}', 'data: {"content": "World"}']
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