initial commit

backend/tests/test_llm_service.py

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+"""FluentGerman.ai — LLM service tests (mocked)."""
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from app.services.instruction_service import get_system_prompt
+
+
+@pytest.mark.asyncio
+async def test_system_prompt_empty():
+    """When no instructions exist, returns default prompt."""
+    db = AsyncMock()
+    # Mock two queries returning empty results
+    mock_result = MagicMock()
+    mock_result.scalars.return_value.all.return_value = []
+    db.execute = AsyncMock(return_value=mock_result)
+
+    prompt = await get_system_prompt(db, user_id=1)
+    assert "German" in prompt
+    assert "tutor" in prompt.lower()
+
+
+@pytest.mark.asyncio
+async def test_system_prompt_with_instructions():
+    """System prompt includes global and personal instructions."""
+    from app.models import Instruction, InstructionType
+
+    global_inst = MagicMock()
+    global_inst.title = "Method"
+    global_inst.content = "Use immersive conversation"
+    global_inst.type = InstructionType.GLOBAL
+
+    personal_inst = MagicMock()
+    personal_inst.title = "Focus"
+    personal_inst.content = "Practice articles"
+    personal_inst.type = InstructionType.PERSONAL
+
+    db = AsyncMock()
+    call_count = 0
+
+    async def mock_execute(query):
+        nonlocal call_count
+        call_count += 1
+        result = MagicMock()
+        if call_count == 1:
+            result.scalars.return_value.all.return_value = [global_inst]
+        else:
+            result.scalars.return_value.all.return_value = [personal_inst]
+        return result
+
+    db.execute = mock_execute
+
+    prompt = await get_system_prompt(db, user_id=1)
+    assert "TEACHING METHOD" in prompt
+    assert "immersive conversation" in prompt
+    assert "PERSONAL INSTRUCTIONS" in prompt
+    assert "Practice articles" in prompt