feat: protocol generation — LLM integration, prompt templates, Celery task

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/tests/test_protocol_generator.py

@@ -0,0 +1,41 @@
+import pytest
+from unittest.mock import patch, MagicMock
+
+from app.services.protocol_generator import generate_protocol_text
+
+
+@pytest.mark.asyncio
+async def test_generate_protocol_text_returns_structured_result():
+    mock_template = MagicMock()
+    mock_template.system_prompt = "You are an analyst."
+    mock_template.user_prompt = "Create protocol from: {transcription}"
+
+    mock_response = MagicMock()
+    mock_response.choices = [MagicMock()]
+    mock_response.choices[0].message.content = '{"topic": "Test meeting", "decisions": ["Decision 1"]}'
+    mock_response.model = "test-model"
+
+    with patch("app.services.protocol_generator.completion", return_value=mock_response):
+        result = generate_protocol_text("Hello this is a meeting", mock_template)
+
+    assert result["content"]["topic"] == "Test meeting"
+    assert result["raw_text"] == '{"topic": "Test meeting", "decisions": ["Decision 1"]}'
+    assert result["model"] == "test-model"
+
+
+@pytest.mark.asyncio
+async def test_generate_protocol_text_handles_non_json_response():
+    mock_template = MagicMock()
+    mock_template.system_prompt = "You are an analyst."
+    mock_template.user_prompt = "Create protocol from: {transcription}"
+
+    mock_response = MagicMock()
+    mock_response.choices = [MagicMock()]
+    mock_response.choices[0].message.content = "Not valid JSON response"
+    mock_response.model = "test-model"
+
+    with patch("app.services.protocol_generator.completion", return_value=mock_response):
+        result = generate_protocol_text("Hello", mock_template)
+
+    assert "raw" in result["content"]
+    assert result["content"]["raw"] == "Not valid JSON response"