tests/test_mcp_server_tdd.py

"""
TDD Tests for FhirFlame MCP Server
Write tests FIRST, then implement to make them pass
"""

import pytest
import asyncio
import json
import time
from unittest.mock import Mock, patch, AsyncMock
from typing import Dict, Any

# These imports will fail initially - that's expected in TDD RED phase
try:
    from src.fhirflame_mcp_server import FhirFlameMCPServer
    from src.codellama_processor import CodeLlamaProcessor
except ImportError:
    # Expected during RED phase - we haven't implemented these yet
    FhirFlameMCPServer = None
    CodeLlamaProcessor = None


class TestFhirFlameMCPServerTDD:
    """TDD tests for FhirFlame MCP Server - RED phase"""
    
    def setup_method(self):
        """Setup for each test"""
        self.sample_medical_text = """
        DISCHARGE SUMMARY
        
        Patient: John Doe
        DOB: 1980-01-01
        MRN: 123456789
        
        DIAGNOSIS: Essential Hypertension
        
        VITAL SIGNS:
        - Blood Pressure: 140/90 mmHg
        - Heart Rate: 72 bpm
        - Temperature: 98.6°F
        
        MEDICATIONS:
        - Lisinopril 10mg daily
        - Metoprolol 25mg twice daily
        """
        
        self.expected_fhir_bundle = {
            "resourceType": "Bundle",
            "type": "document",
            "entry": [
                {
                    "resource": {
                        "resourceType": "Patient",
                        "name": [{"given": ["John"], "family": "Doe"}],
                        "birthDate": "1980-01-01"
                    }
                }
            ]
        }

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_mcp_server_initialization(self):
        """Test: MCP server initializes correctly"""
        # Given: MCP server configuration
        # When: Creating FhirFlame MCP server
        server = FhirFlameMCPServer()
        
        # Then: Should initialize with correct tools
        assert server is not None
        assert hasattr(server, 'tools')
        assert len(server.tools) == 2  # process_medical_document + validate_fhir_bundle
        assert 'process_medical_document' in server.tools
        assert 'validate_fhir_bundle' in server.tools

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_process_medical_document_tool_exists(self):
        """Test: process_medical_document tool is properly registered"""
        # Given: MCP server
        server = FhirFlameMCPServer()
        
        # When: Getting tool definition
        tool = server.get_tool('process_medical_document')
        
        # Then: Should have correct tool definition
        assert tool is not None
        assert tool['name'] == 'process_medical_document'
        assert 'description' in tool
        assert 'parameters' in tool
        assert tool['parameters']['document_content']['required'] is True

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_validate_fhir_bundle_tool_exists(self):
        """Test: validate_fhir_bundle tool is properly registered"""
        # Given: MCP server
        server = FhirFlameMCPServer()
        
        # When: Getting tool definition
        tool = server.get_tool('validate_fhir_bundle')
        
        # Then: Should have correct tool definition
        assert tool is not None
        assert tool['name'] == 'validate_fhir_bundle'
        assert 'description' in tool
        assert 'parameters' in tool
        assert tool['parameters']['fhir_bundle']['required'] is True

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_process_medical_document_success(self):
        """Test: process_medical_document returns valid FHIR bundle"""
        # Given: Valid medical document input
        server = FhirFlameMCPServer()
        document_content = "base64_encoded_medical_document"
        document_type = "discharge_summary"
        
        # When: Processing document via MCP tool
        result = await server.call_tool('process_medical_document', {
            'document_content': document_content,
            'document_type': document_type
        })
        
        # Then: Should return success with FHIR bundle
        assert result['success'] is True
        assert 'fhir_bundle' in result
        assert result['fhir_bundle']['resourceType'] == 'Bundle'
        assert len(result['fhir_bundle']['entry']) > 0
        assert result['processing_metadata']['model_used'] == 'codellama:13b-instruct'
        assert result['processing_metadata']['gpu_used'] == 'RTX_4090'

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_process_medical_document_extracts_entities(self):
        """Test: Medical entities are correctly extracted"""
        # Given: Document with known medical entities
        server = FhirFlameMCPServer()
        document_content = self.sample_medical_text
        
        # When: Processing document
        result = await server.call_tool('process_medical_document', {
            'document_content': document_content,
            'document_type': 'discharge_summary'
        })
        
        # Then: Should extract medical entities
        assert result['success'] is True
        assert result['extraction_results']['entities_found'] > 0
        assert result['extraction_results']['quality_score'] > 0.6
        
        # Verify specific medical entities are found
        fhir_bundle = result['fhir_bundle']
        patient_found = any(
            entry['resource']['resourceType'] == 'Patient' 
            for entry in fhir_bundle['entry']
        )
        assert patient_found is True

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_validate_fhir_bundle_success(self):
        """Test: FHIR validation with healthcare grade standards"""
        # Given: Valid FHIR bundle
        server = FhirFlameMCPServer()
        fhir_bundle = self.expected_fhir_bundle
        
        # When: Validating bundle via MCP tool
        result = await server.call_tool('validate_fhir_bundle', {
            'fhir_bundle': fhir_bundle,
            'validation_level': 'healthcare_grade'
        })
        
        # Then: Should return comprehensive validation
        assert result['success'] is True
        assert result['validation_results']['is_valid'] is True
        assert result['validation_results']['compliance_score'] > 0.9
        assert result['compliance_summary']['fhir_r4_compliant'] is True
        assert result['compliance_summary']['hipaa_ready'] is True

    @pytest.mark.mcp
    @pytest.mark.asyncio
    async def test_mcp_error_handling(self):
        """Test: MCP server handles errors gracefully"""
        # Given: Invalid input
        server = FhirFlameMCPServer()
        
        # When: Processing empty document
        result = await server.call_tool('process_medical_document', {
            'document_content': '',
            'document_type': 'discharge_summary'
        })
        
        # Then: Should handle error gracefully
        assert result['success'] is False
        assert 'error' in result
        assert 'Empty document' in result['error']

    @pytest.mark.mcp
    @pytest.mark.integration
    @pytest.mark.asyncio
    async def test_complete_mcp_workflow(self):
        """Test: Complete MCP workflow from document to validated FHIR"""
        # Given: Medical document
        server = FhirFlameMCPServer()
        test_document = self.sample_medical_text
        
        # When: Complete workflow via MCP
        # Step 1: Process document
        process_result = await server.call_tool('process_medical_document', {
            'document_content': test_document,
            'document_type': 'discharge_summary'
        })
        assert process_result['success'] is True
        
        # Step 2: Validate resulting FHIR bundle
        validate_result = await server.call_tool('validate_fhir_bundle', {
            'fhir_bundle': process_result['fhir_bundle'],
            'validation_level': 'healthcare_grade'
        })
        assert validate_result['success'] is True
        
        # Then: Complete workflow should produce valid healthcare data
        assert validate_result['validation_results']['is_valid'] is True
        assert validate_result['compliance_summary']['hipaa_ready'] is True


class TestCodeLlamaProcessorTDD:
    """TDD tests for CodeLlama processor - RED phase"""
    
    def setup_method(self):
        """Setup for each test"""
        self.sample_text = "Patient: John Doe, DOB: 1980-01-01, Diagnosis: Hypertension"

    @pytest.mark.codellama
    @pytest.mark.gpu
    def test_codellama_processor_initialization(self):
        """Test: CodeLlama processor initializes correctly"""
        # Given: RTX 4090 GPU available
        # When: Creating CodeLlama processor
        processor = CodeLlamaProcessor()
        
        # Then: Should initialize with correct configuration
        assert processor is not None
        assert processor.model_name == 'codellama:13b-instruct'
        assert processor.gpu_available is True
        assert processor.vram_allocated == '12GB'

    @pytest.mark.codellama
    @pytest.mark.gpu
    @pytest.mark.asyncio
    async def test_codellama_medical_text_processing(self):
        """Test: CodeLlama processes medical text correctly"""
        # Given: Medical text and processor
        processor = CodeLlamaProcessor()
        medical_text = self.sample_text
        
        # When: Processing medical text
        result = await processor.process_medical_text_codellama(medical_text)
        
        # Then: Should return structured medical data
        assert result['success'] is True
        assert result['model_used'] == 'codellama:13b-instruct'
        assert result['gpu_used'] == 'RTX_4090'
        assert result['vram_used'] == '12GB'
        assert 'extracted_data' in result
        assert result['processing_time'] < 5.0  # Under 5 seconds

    @pytest.mark.codellama
    @pytest.mark.gpu
    @pytest.mark.asyncio
    async def test_codellama_json_output_format(self):
        """Test: CodeLlama returns proper JSON format for FHIR"""
        # Given: Medical text
        processor = CodeLlamaProcessor()
        medical_text = self.sample_text
        
        # When: Processing text
        result = await processor.process_medical_text_codellama(medical_text)
        
        # Then: Should return valid JSON structure
        assert result['success'] is True
        extracted_data = result['extracted_data']
        
        # Should be parseable JSON
        try:
            parsed_data = json.loads(extracted_data)
            assert 'patient' in parsed_data
            assert 'conditions' in parsed_data
            assert 'confidence_score' in parsed_data
        except json.JSONDecodeError:
            pytest.fail("CodeLlama did not return valid JSON")

    @pytest.mark.codellama
    @pytest.mark.gpu
    def test_codellama_gpu_memory_efficiency(self):
        """Test: CodeLlama uses GPU memory efficiently"""
        # Given: CodeLlama processor
        processor = CodeLlamaProcessor()
        
        # When: Checking memory configuration
        memory_info = processor.get_memory_info()
        
        # Then: Should use memory efficiently
        assert memory_info['total_vram'] == '24GB'
        assert memory_info['allocated_vram'] == '12GB'
        assert memory_info['available_vram'] == '12GB'
        assert memory_info['memory_efficient'] is True


class TestPerformanceBenchmarksTDD:
    """TDD performance tests for RTX 4090 optimization"""
    
    @pytest.mark.benchmark
    @pytest.mark.gpu
    @pytest.mark.slow
    def test_document_processing_speed_benchmark(self):
        """Benchmark: Document processing speed on RTX 4090"""
        try:
            import pytest_benchmark
        except ImportError:
            pytest.skip("pytest-benchmark not available")
        
        # Given: Standard medical document
        processor = CodeLlamaProcessor()
        sample_doc = "Patient: Jane Smith, DOB: 1975-05-15, Chief Complaint: Chest pain"
        
        # When: Processing document with timing
        start_time = time.time()
        result = asyncio.run(processor.process_medical_text_codellama(sample_doc))
        processing_time = time.time() - start_time
        
        # Then: Should meet performance targets
        assert result['success'] is True
        assert processing_time < 10.0  # Reasonable target for mock processing
        print(f"🕒 Processing completed in {processing_time:.2f} seconds")
        assert result['gpu_used'] == 'RTX_4090'

    @pytest.mark.benchmark
    @pytest.mark.gpu
    def test_concurrent_processing_capability(self):
        """Test: RTX 4090 can handle concurrent medical document processing"""
        # Given: Multiple documents
        processor = CodeLlamaProcessor()
        documents = [
            "Patient A: Hypertension diagnosis",
            "Patient B: Diabetes management", 
            "Patient C: Pneumonia treatment"
        ]
        
        # When: Processing concurrently
        async def process_concurrent():
            tasks = [
                processor.process_medical_text_codellama(doc) 
                for doc in documents
            ]
            return await asyncio.gather(*tasks)
        
        results = asyncio.run(process_concurrent())
        
        # Then: All should succeed without memory issues
        assert len(results) == 3
        for result in results:
            assert result['success'] is True
            assert result['gpu_used'] == 'RTX_4090'


@pytest.mark.skip(reason="Will fail until implementation - TDD RED phase")
class TestTDDRedPhaseRunner:
    """This class ensures tests fail initially as expected in TDD"""
    
    def test_all_tests_should_fail_initially(self):
        """Meta-test: Confirms we're in TDD RED phase"""
        # This test documents that we expect failures initially
        # Remove @pytest.mark.skip once implementation begins
        pass