mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-15 04:17:56 +00:00
Alex
574f96341e
The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
251 lines
9.5 KiB
Python
251 lines
9.5 KiB
Python
from types import SimpleNamespace
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from docsgpt.llm.handlers.openai import OpenAILLMHandler
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from docsgpt.llm.handlers.base import ToolCall, LLMResponse
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class TestOpenAILLMHandler:
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"""Test OpenAILLMHandler class."""
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def test_handler_initialization(self):
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"""Test handler initialization."""
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handler = OpenAILLMHandler()
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assert handler.llm_calls == []
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assert handler.tool_calls == []
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def test_parse_response_string_input(self):
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"""Test parsing string response."""
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handler = OpenAILLMHandler()
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response = "Hello, world!"
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result = handler.parse_response(response)
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assert isinstance(result, LLMResponse)
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assert result.content == "Hello, world!"
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assert result.tool_calls == []
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assert result.finish_reason == "stop"
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assert result.raw_response == "Hello, world!"
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def test_parse_response_with_message_content(self):
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"""Test parsing response with message content."""
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handler = OpenAILLMHandler()
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# Mock OpenAI response structure
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mock_message = SimpleNamespace(content="Test content", tool_calls=None)
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mock_response = SimpleNamespace(message=mock_message, finish_reason="stop")
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result = handler.parse_response(mock_response)
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assert result.content == "Test content"
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assert result.tool_calls == []
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assert result.finish_reason == "stop"
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assert result.raw_response == mock_response
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def test_parse_response_with_delta_content(self):
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"""Test parsing response with delta content (streaming)."""
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handler = OpenAILLMHandler()
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# Mock streaming response structure
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mock_delta = SimpleNamespace(content="Stream chunk", tool_calls=None)
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mock_response = SimpleNamespace(delta=mock_delta, finish_reason="")
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result = handler.parse_response(mock_response)
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assert result.content == "Stream chunk"
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assert result.tool_calls == []
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assert result.finish_reason == ""
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assert result.raw_response == mock_response
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def test_parse_response_with_tool_calls(self):
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"""Test parsing response with tool calls."""
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handler = OpenAILLMHandler()
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# Mock tool call structure
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mock_function = SimpleNamespace(name="get_weather", arguments='{"location": "NYC"}')
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mock_tool_call = SimpleNamespace(
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id="call_123",
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function=mock_function,
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index=0
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)
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mock_message = SimpleNamespace(content="", tool_calls=[mock_tool_call])
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mock_response = SimpleNamespace(message=mock_message, finish_reason="tool_calls")
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result = handler.parse_response(mock_response)
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assert result.content == ""
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assert len(result.tool_calls) == 1
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assert result.tool_calls[0].id == "call_123"
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assert result.tool_calls[0].name == "get_weather"
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assert result.tool_calls[0].arguments == '{"location": "NYC"}'
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assert result.tool_calls[0].index == 0
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assert result.finish_reason == "tool_calls"
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def test_parse_response_with_multiple_tool_calls(self):
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"""Test parsing response with multiple tool calls."""
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handler = OpenAILLMHandler()
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# Mock multiple tool calls
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mock_function1 = SimpleNamespace(name="get_weather", arguments='{"location": "NYC"}')
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mock_function2 = SimpleNamespace(name="get_time", arguments='{"timezone": "UTC"}')
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mock_tool_call1 = SimpleNamespace(id="call_1", function=mock_function1, index=0)
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mock_tool_call2 = SimpleNamespace(id="call_2", function=mock_function2, index=1)
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mock_message = SimpleNamespace(content="", tool_calls=[mock_tool_call1, mock_tool_call2])
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mock_response = SimpleNamespace(message=mock_message, finish_reason="tool_calls")
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result = handler.parse_response(mock_response)
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assert len(result.tool_calls) == 2
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assert result.tool_calls[0].name == "get_weather"
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assert result.tool_calls[1].name == "get_time"
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def test_parse_response_empty_tool_calls(self):
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"""Test parsing response with empty tool_calls."""
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handler = OpenAILLMHandler()
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mock_message = SimpleNamespace(content="No tools needed", tool_calls=None)
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mock_response = SimpleNamespace(message=mock_message, finish_reason="stop")
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result = handler.parse_response(mock_response)
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assert result.content == "No tools needed"
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assert result.tool_calls == []
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assert result.finish_reason == "stop"
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def test_parse_response_missing_attributes(self):
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"""Test parsing response with missing attributes."""
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handler = OpenAILLMHandler()
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# Mock response with missing attributes
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mock_message = SimpleNamespace() # No content or tool_calls
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mock_response = SimpleNamespace(message=mock_message) # No finish_reason
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result = handler.parse_response(mock_response)
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assert result.content == ""
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assert result.tool_calls == []
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assert result.finish_reason == ""
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def test_create_tool_message(self):
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"""Test creating tool message in standard format."""
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handler = OpenAILLMHandler()
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tool_call = ToolCall(
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id="call_123",
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name="get_weather",
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arguments={"location": "NYC"},
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index=0
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)
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result = {"temperature": "72F", "condition": "sunny"}
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message = handler.create_tool_message(tool_call, result)
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assert message["role"] == "tool"
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assert message["tool_call_id"] == "call_123"
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import json
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assert json.loads(message["content"]) == result
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def test_create_tool_message_string_result(self):
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"""Test creating tool message with string result."""
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handler = OpenAILLMHandler()
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tool_call = ToolCall(id="call_456", name="get_time", arguments={})
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result = "2023-12-01 10:30:00"
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message = handler.create_tool_message(tool_call, result)
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assert message["role"] == "tool"
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assert message["tool_call_id"] == "call_456"
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assert message["content"] == result
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def test_create_tool_message_with_pg_native_types(self):
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# PostgresTool returns dicts containing datetime / UUID / Decimal
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# / bytes when the user runs a SELECT against timestamptz / uuid /
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# numeric / bytea columns. The shared PGNativeJSONEncoder handles
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# all five types lossless — bytes round-trip through base64.
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import base64
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import json
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from datetime import datetime, date, timezone
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from decimal import Decimal
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from uuid import UUID
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handler = OpenAILLMHandler()
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tool_call = ToolCall(id="call_pg", name="run_sql", arguments={})
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result = {
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"data": [
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{
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"id": UUID("12345678-1234-5678-1234-567812345678"),
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"created_at": datetime(2026, 5, 2, 12, 14, 32, tzinfo=timezone.utc),
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"scheduled_for": date(2026, 6, 1),
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"amount": Decimal("123.45"),
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"blob": b"\x00\x01\xff",
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}
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]
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}
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message = handler.create_tool_message(tool_call, result)
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assert message["role"] == "tool"
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decoded = json.loads(message["content"])
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row = decoded["data"][0]
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assert row["id"] == "12345678-1234-5678-1234-567812345678"
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assert row["created_at"] == "2026-05-02T12:14:32+00:00"
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assert row["scheduled_for"] == "2026-06-01"
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assert row["amount"] == "123.45"
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assert base64.b64decode(row["blob"]) == b"\x00\x01\xff"
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def test_iterate_stream(self):
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"""Test stream iteration."""
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handler = OpenAILLMHandler()
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# Mock streaming response
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mock_chunks = ["chunk1", "chunk2", "chunk3"]
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result = list(handler._iterate_stream(mock_chunks))
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assert result == mock_chunks
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def test_iterate_stream_empty(self):
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"""Test stream iteration with empty response."""
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handler = OpenAILLMHandler()
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result = list(handler._iterate_stream([]))
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assert result == []
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def test_iterate_stream_preserves_thought_events(self):
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"""Test stream iteration preserves provider-emitted thought events."""
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handler = OpenAILLMHandler()
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mock_chunks = [
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{"type": "thought", "thought": "first thought"},
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"answer token",
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]
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result = list(handler._iterate_stream(mock_chunks))
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assert result == [
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{"type": "thought", "thought": "first thought"},
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"answer token",
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]
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def test_parse_response_tool_call_missing_attributes(self):
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"""Test parsing tool calls with missing attributes."""
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handler = OpenAILLMHandler()
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# Mock tool call with missing attributes
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mock_function = SimpleNamespace() # No name or arguments
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mock_tool_call = SimpleNamespace(function=mock_function) # No id or index
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mock_message = SimpleNamespace(content="", tool_calls=[mock_tool_call])
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mock_response = SimpleNamespace(message=mock_message, finish_reason="tool_calls")
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result = handler.parse_response(mock_response)
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assert len(result.tool_calls) == 1
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assert result.tool_calls[0].id == ""
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assert result.tool_calls[0].name == ""
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assert result.tool_calls[0].arguments == ""
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assert result.tool_calls[0].index is None
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