test: update tests for cache mode terminology
Rename database mode tests to cache mode to reflect new architecture: - Replace USE_DATABASE with USE_CACHE references - Update test assertions for cache behavior - Maintain backward compatibility testing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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+66
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@@ -1,13 +1,22 @@
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"""Tests for LLM analysis functionality."""
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import pytest
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from unittest.mock import Mock, MagicMock
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from unittest.mock import Mock, MagicMock, patch
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from SPARC.llm import LLMAnalyzer
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class TestLLMAnalyzer:
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"""Test LLM analyzer initialization and API interaction."""
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@pytest.fixture(autouse=True)
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def mock_database(self, mocker):
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"""Mock the database client for all tests."""
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mock_db_client = Mock()
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mock_db_client.get_cached_response.return_value = None # No cache hit by default
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mock_db_client.store_message.return_value = 1
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mocker.patch("SPARC.llm.DatabaseClient", return_value=mock_db_client)
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return mock_db_client
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def test_analyzer_initialization_with_api_key(self, mocker):
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"""Test that analyzer initializes with provided API key."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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@@ -25,7 +34,7 @@ class TestLLMAnalyzer:
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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mock_config = mocker.patch("SPARC.llm.config")
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mock_config.openrouter_api_key = "config-key-456"
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mock_config.use_database = False
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mock_config.use_cache = True
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mock_config.database_url = "postgresql://localhost/test"
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analyzer = LLMAnalyzer()
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@@ -35,7 +44,7 @@ class TestLLMAnalyzer:
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base_url="https://openrouter.ai/api/v1"
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)
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def test_analyze_patent_content(self, mocker):
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def test_analyze_patent_content(self, mocker, mock_database):
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"""Test single patent content analysis."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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mock_client = Mock()
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@@ -44,9 +53,10 @@ class TestLLMAnalyzer:
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# Mock the API response
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mock_response = Mock()
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mock_response.choices = [Mock(message=Mock(content="Innovative GPU architecture."))]
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mock_response.usage = Mock(prompt_tokens=100, completion_tokens=50, total_tokens=150)
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mock_client.chat.completions.create.return_value = mock_response
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analyzer = LLMAnalyzer(api_key="test-key")
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analyzer = LLMAnalyzer(api_key="test-key", use_cache=False)
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result = analyzer.analyze_patent_content(
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patent_content="ABSTRACT: GPU with new cache design...",
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company_name="NVIDIA",
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@@ -61,7 +71,32 @@ class TestLLMAnalyzer:
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assert "NVIDIA" in prompt_text
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assert "GPU with new cache design" in prompt_text
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def test_analyze_patent_portfolio(self, mocker):
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# Verify message was stored in database
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mock_database.store_message.assert_called_once()
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def test_analyze_patent_content_cache_hit(self, mocker, mock_database):
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"""Test that cached responses are returned without API call."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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mock_client = Mock()
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mock_openai.return_value = mock_client
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# Set up cache hit
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mock_database.get_cached_response.return_value = {
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"id": 1,
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"response": "Cached analysis result"
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}
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analyzer = LLMAnalyzer(api_key="test-key", use_cache=True)
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result = analyzer.analyze_patent_content(
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patent_content="ABSTRACT: GPU with new cache design...",
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company_name="NVIDIA",
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)
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assert result == "Cached analysis result"
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# API should NOT be called on cache hit
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mock_client.chat.completions.create.assert_not_called()
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def test_analyze_patent_portfolio(self, mocker, mock_database):
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"""Test portfolio analysis with multiple patents."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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mock_client = Mock()
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@@ -72,9 +107,10 @@ class TestLLMAnalyzer:
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mock_response.choices = [
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Mock(message=Mock(content="Strong portfolio in AI and graphics."))
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]
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mock_response.usage = Mock(prompt_tokens=200, completion_tokens=100, total_tokens=300)
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mock_client.chat.completions.create.return_value = mock_response
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analyzer = LLMAnalyzer(api_key="test-key")
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analyzer = LLMAnalyzer(api_key="test-key", use_cache=False)
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patents_data = [
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{"patent_id": "US123", "content": "AI acceleration patent"},
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{"patent_id": "US456", "content": "Graphics rendering patent"},
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@@ -95,7 +131,7 @@ class TestLLMAnalyzer:
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assert "AI acceleration patent" in prompt_text
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assert "Graphics rendering patent" in prompt_text
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def test_analyze_patent_portfolio_with_correct_token_limit(self, mocker):
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def test_analyze_patent_portfolio_with_correct_token_limit(self, mocker, mock_database):
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"""Test that portfolio analysis uses higher token limit."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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mock_client = Mock()
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@@ -103,9 +139,10 @@ class TestLLMAnalyzer:
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mock_response = Mock()
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mock_response.choices = [Mock(message=Mock(content="Analysis result."))]
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mock_response.usage = Mock(prompt_tokens=100, completion_tokens=50, total_tokens=150)
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mock_client.chat.completions.create.return_value = mock_response
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analyzer = LLMAnalyzer(api_key="test-key")
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analyzer = LLMAnalyzer(api_key="test-key", use_cache=False)
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patents_data = [{"patent_id": "US123", "content": "Test content"}]
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analyzer.analyze_patent_portfolio(patents_data, "TestCo")
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@@ -114,7 +151,7 @@ class TestLLMAnalyzer:
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# Portfolio analysis should use 2048 tokens
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assert call_args[1]["max_tokens"] == 2048
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def test_analyze_single_patent_with_correct_token_limit(self, mocker):
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def test_analyze_single_patent_with_correct_token_limit(self, mocker, mock_database):
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"""Test that single patent analysis uses lower token limit."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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mock_client = Mock()
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@@ -122,11 +159,30 @@ class TestLLMAnalyzer:
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mock_response = Mock()
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mock_response.choices = [Mock(message=Mock(content="Analysis result."))]
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mock_response.usage = Mock(prompt_tokens=100, completion_tokens=50, total_tokens=150)
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mock_client.chat.completions.create.return_value = mock_response
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analyzer = LLMAnalyzer(api_key="test-key")
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analyzer = LLMAnalyzer(api_key="test-key", use_cache=False)
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analyzer.analyze_patent_content("Test content", "TestCo")
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call_args = mock_client.chat.completions.create.call_args
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# Single patent should use 1024 tokens
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assert call_args[1]["max_tokens"] == 1024
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def test_database_always_initialized(self, mocker, mock_database):
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"""Test that database client is always initialized."""
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mock_openai = mocker.patch("SPARC.llm.OpenAI")
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analyzer = LLMAnalyzer(api_key="test-key")
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assert analyzer.db_client is not None
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def test_no_api_key_stores_placeholder(self, mocker, mock_database):
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"""Test that without API key, a placeholder is stored."""
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mocker.patch("SPARC.llm.config")
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analyzer = LLMAnalyzer(use_cache=False)
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result = analyzer.analyze_patent_content("Test content", "TestCo")
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assert "[NO API]" in result
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mock_database.store_message.assert_called_once()
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