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89 lines
3.0 KiB
Python
89 lines
3.0 KiB
Python
import json
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from unittest.mock import patch
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import pytest
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from django.conf import settings
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from paperless.ai.client import _run_ollama_query
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from paperless.ai.client import _run_openai_query
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from paperless.ai.client import run_llm_query
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@pytest.fixture
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def mock_settings():
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settings.LLM_BACKEND = "openai"
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settings.LLM_MODEL = "gpt-3.5-turbo"
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settings.LLM_API_KEY = "test-api-key"
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settings.OPENAI_URL = "https://api.openai.com"
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settings.OLLAMA_URL = "https://ollama.example.com"
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yield settings
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@patch("paperless.ai.client._run_openai_query")
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@patch("paperless.ai.client._run_ollama_query")
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def test_run_llm_query_openai(mock_ollama_query, mock_openai_query, mock_settings):
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mock_openai_query.return_value = "OpenAI response"
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result = run_llm_query("Test prompt")
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assert result == "OpenAI response"
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mock_openai_query.assert_called_once_with("Test prompt")
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mock_ollama_query.assert_not_called()
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@patch("paperless.ai.client._run_openai_query")
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@patch("paperless.ai.client._run_ollama_query")
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def test_run_llm_query_ollama(mock_ollama_query, mock_openai_query, mock_settings):
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mock_settings.LLM_BACKEND = "ollama"
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mock_ollama_query.return_value = "Ollama response"
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result = run_llm_query("Test prompt")
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assert result == "Ollama response"
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mock_ollama_query.assert_called_once_with("Test prompt")
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mock_openai_query.assert_not_called()
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def test_run_llm_query_unsupported_backend(mock_settings):
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mock_settings.LLM_BACKEND = "unsupported"
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with pytest.raises(ValueError, match="Unsupported LLM backend: unsupported"):
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run_llm_query("Test prompt")
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def test_run_openai_query(httpx_mock, mock_settings):
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httpx_mock.add_response(
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url=f"{mock_settings.OPENAI_URL}/v1/chat/completions",
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json={
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"choices": [{"message": {"content": "OpenAI response"}}],
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},
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)
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result = _run_openai_query("Test prompt")
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assert result == "OpenAI response"
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request = httpx_mock.get_request()
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assert request.method == "POST"
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assert request.url == f"{mock_settings.OPENAI_URL}/v1/chat/completions"
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assert request.headers["Authorization"] == f"Bearer {mock_settings.LLM_API_KEY}"
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assert request.headers["Content-Type"] == "application/json"
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assert json.loads(request.content) == {
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"model": mock_settings.LLM_MODEL,
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"messages": [{"role": "user", "content": "Test prompt"}],
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"temperature": 0.3,
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}
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def test_run_ollama_query(httpx_mock, mock_settings):
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httpx_mock.add_response(
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url=f"{mock_settings.OLLAMA_URL}/api/chat",
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json={"message": {"content": "Ollama response"}},
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)
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result = _run_ollama_query("Test prompt")
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assert result == "Ollama response"
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request = httpx_mock.get_request()
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assert request.method == "POST"
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assert request.url == f"{mock_settings.OLLAMA_URL}/api/chat"
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assert json.loads(request.content) == {
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"model": mock_settings.LLM_MODEL,
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"messages": [{"role": "user", "content": "Test prompt"}],
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"stream": False,
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}
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