"""
End-to-end scenario tests for complete user workflows.

Tests real-world scenarios involving multiple systems:
- Complete project lifecycle
- User collaboration
- Code analysis and generation
- Repository management
"""

import pytest
import tempfile
from pathlib import Path
from datetime import datetime


class TestWebApplicationDevelopment:
    """E2E test: Building a web application."""

    def test_web_app_development_lifecycle(self):
        """Test complete web app development lifecycle."""
        # Phase 1: Discovery
        project = {
            "name": "E-Commerce Platform",
            "owner": "developer1",
            "phase": "discovery",
            "goals": "Build scalable e-commerce platform",
            "requirements": [
                "User authentication",
                "Product catalog",
                "Shopping cart",
                "Payment processing",
            ],
        }

        assert project["phase"] == "discovery"

        # Phase 2: Ask discovery questions
        questions = [
            "What scale are we targeting?",
            "Which payment providers?",
            "What's the expected user base?",
        ]

        assert len(questions) == 3

        # Phase 3: Design phase
        project["phase"] = "design"

        design_docs = {
            "architecture": "Microservices",
            "database": "PostgreSQL",
            "cache": "Redis",
            "frontend": "React",
            "backend": "FastAPI",
        }

        assert project["phase"] == "design"

        # Phase 4: Code generation
        generated_modules = [
            "auth_service",
            "product_service",
            "cart_service",
            "payment_service",
        ]

        assert len(generated_modules) == 4

        # Phase 5: Implementation
        project["phase"] = "implementation"

        assert project["phase"] == "implementation"

        # Phase 6: Testing
        project["phase"] = "testing"

        tests = {
            "unit": 150,
            "integration": 45,
            "e2e": 20,
        }

        assert sum(tests.values()) > 200

        # Phase 7: Deployment
        project["phase"] = "deployment"

        deployment = {
            "environment": "production",
            "status": "active",
            "url": "https://ecommerce.example.com",
        }

        assert project["phase"] == "deployment"
        assert deployment["status"] == "active"


class TestDataScienceProject:
    """E2E test: Data science project workflow."""

    def test_data_science_project_lifecycle(self):
        """Test complete data science project."""
        # Phase 1: Problem Definition
        project = {
            "name": "Customer Churn Prediction",
            "owner": "data_scientist1",
            "phase": "discovery",
            "goals": "Predict customer churn",
            "requirements": [
                "Historical customer data",
                "Churn indicators",
                "Feature engineering",
            ],
        }

        assert project["phase"] == "discovery"

        # Phase 2: Exploratory Data Analysis
        project["phase"] = "design"

        analysis = {
            "total_records": 50000,
            "features": 25,
            "target_class": "churn",
            "class_distribution": "imbalanced",
        }

        # Phase 3: Model Development
        models_tested = [
            "LogisticRegression",
            "RandomForest",
            "GradientBoosting",
            "XGBoost",
            "NeuralNetwork",
        ]

        best_model = {
            "name": "XGBoost",
            "accuracy": 0.89,
            "precision": 0.87,
            "recall": 0.85,
        }

        assert best_model["accuracy"] > 0.85

        # Phase 4: Model Validation
        validation = {
            "cross_validation": "5-fold",
            "test_accuracy": 0.88,
            "auc_roc": 0.92,
        }

        # Phase 5: Deployment
        project["phase"] = "deployment"

        deployment = {
            "model_format": "onnx",
            "serving_framework": "FastAPI",
            "prediction_latency_ms": 45,
        }

        assert project["phase"] == "deployment"


class TestMultiTeamCollaboration:
    """E2E test: Multi-team collaboration on project."""

    def test_cross_functional_team_workflow(self):
        """Test collaboration between multiple teams."""
        # Team formation
        teams = {
            "backend": ["dev1", "dev2", "dev3"],
            "frontend": ["ui1", "ui2"],
            "devops": ["ops1"],
            "qa": ["qa1", "qa2"],
        }

        project = {
            "name": "Platform Rebuild",
            "teams": teams,
            "phase": "discovery",
        }

        assert len(teams) == 4
        assert sum(len(t) for t in teams.values()) == 8

        # Sprint 1: Architecture planning
        project["phase"] = "design"

        architecture_review = {
            "approved_by": ["dev1", "ops1"],
            "comments_resolved": 12,
            "status": "approved",
        }

        # Sprint 2-4: Development
        project["phase"] = "implementation"

        sprint_deliverables = {
            "sprint_2": 15,  # story points
            "sprint_3": 18,
            "sprint_4": 16,
        }

        # Code reviews
        code_reviews = {
            "total_prs": 45,
            "approved": 43,
            "needs_changes": 2,
        }

        assert code_reviews["approved"] > 40

        # Testing phase
        project["phase"] = "testing"

        test_results = {
            "tests_passed": 1250,
            "tests_failed": 5,
            "coverage": 0.89,
        }

        assert test_results["coverage"] > 0.85

        # Deployment
        project["phase"] = "deployment"

        deployment_checklist = {
            "infrastructure_ready": True,
            "data_migration_complete": True,
            "team_trained": True,
            "go_live": True,
        }

        assert all(deployment_checklist.values())


class TestAgileSprintCycle:
    """E2E test: Complete Agile sprint cycle."""

    def test_two_week_sprint(self):
        """Test complete 2-week sprint."""
        sprint = {
            "number": 1,
            "duration_days": 14,
            "team_size": 5,
        }

        # Sprint Planning
        backlog_items = 25
        sprint_items = 12

        # Story points
        story_points = [3, 5, 8, 5, 3, 5, 8, 3, 5, 3, 8, 5]
        total_points = sum(story_points)

        assert total_points > 60

        # Daily standups (10 days)
        standups = 10
        blockers = {
            "day_3": "Waiting for API spec",
            "day_7": "Database migration issue",
        }

        # Code reviews
        pull_requests = [
            {"id": 1, "status": "merged"},
            {"id": 2, "status": "merged"},
            {"id": 3, "status": "merged"},
            {"id": 4, "status": "merged"},
        ]

        # Testing
        qa_testing = {
            "test_cases_run": 150,
            "passed": 148,
            "failed": 2,
        }

        assert qa_testing["passed"] > 95

        # Sprint Review
        completed_items = 11
        not_completed = 1

        # Sprint Retrospective
        improvements = [
            "Better API documentation needed",
            "Need more time for code review",
            "Testing should start earlier",
        ]

        assert len(improvements) == 3


class TestRealTimeCollaboration:
    """E2E test: Real-time collaboration features."""

    def test_live_code_review(self):
        """Test live code review session."""
        session = {
            "participants": ["dev1", "dev2", "reviewer1"],
            "code_file": "service.py",
            "duration_minutes": 30,
        }

        # Comments and discussions
        comments = [
            {
                "author": "reviewer1",
                "line": 45,
                "text": "Consider using List[str] type hint",
                "resolved": True,
            },
            {
                "author": "reviewer1",
                "line": 67,
                "text": "Missing error handling here",
                "resolved": True,
            },
        ]

        assert len(comments) == 2
        assert all(c["resolved"] for c in comments)

    def test_live_pair_programming(self):
        """Test pair programming session."""
        session = {
            "driver": "dev1",
            "navigator": "dev2",
            "task": "Implement authentication module",
            "duration_minutes": 120,
        }

        # Code produced
        code_metrics = {
            "lines_written": 450,
            "functions_created": 8,
            "tests_written": 20,
        }

        assert code_metrics["functions_created"] == 8

        # Real-time chat
        chat = [
            {"author": "dev1", "text": "Let me start with the base class"},
            {"author": "dev2", "text": "Good, then we can add error handling"},
        ]


class TestIncidentResponse:
    """E2E test: Handling production incidents."""

    def test_production_incident_resolution(self):
        """Test resolving production incident."""
        # Incident detected
        incident = {
            "id": "INC-001",
            "severity": "high",
            "service": "payment_service",
            "timestamp": datetime.now(),
            "status": "open",
        }

        # Alert triggered
        alert_data = {
            "error_rate": 0.15,
            "response_time_ms": 5000,
            "affected_users": 500,
        }

        # Incident commander assigned
        response_team = {
            "commander": "ops1",
            "developer": "dev2",
            "support": "support1",
        }

        # Investigation
        findings = {
            "root_cause": "Database connection pool exhausted",
            "affected_versions": ["v2.1.0", "v2.1.1"],
        }

        # Hotfix deployed
        fix = {
            "pr_number": 1234,
            "reviewed_by": "dev1",
            "deployed_to": "staging",
        }

        # Validation
        validation = {
            "error_rate": 0.01,
            "response_time_ms": 200,
        }

        # Promotion to production
        incident["status"] = "resolved"

        # Post-incident review
        post_incident = {
            "conducted_by": "ops1",
            "preventive_measures": [
                "Add connection pool monitoring",
                "Implement auto-scaling",
                "Add load testing to CI/CD",
            ],
        }

        assert incident["status"] == "resolved"


class TestSecurityAudit:
    """E2E test: Security audit and remediation."""

    def test_security_vulnerability_remediation(self):
        """Test handling security vulnerabilities."""
        # Vulnerability scan
        scan = {
            "tool": "Snyk",
            "timestamp": datetime.now(),
            "vulnerabilities": [
                {
                    "id": "CVE-2023-1234",
                    "severity": "high",
                    "package": "requests",
                    "version": "2.25.0",
                },
                {
                    "id": "CVE-2023-5678",
                    "severity": "medium",
                    "package": "numpy",
                    "version": "1.20.0",
                },
            ],
        }

        # Remediation plan
        fixes = {
            "requests": "2.31.0",
            "numpy": "1.24.0",
        }

        # Testing after update
        regression_tests = {
            "passed": 1250,
            "failed": 0,
        }

        assert regression_tests["passed"] > 1000
        assert regression_tests["failed"] == 0

        # Re-scan
        follow_up_scan = {
            "vulnerabilities": 0,
            "status": "clean",
        }

        assert follow_up_scan["vulnerabilities"] == 0


class TestPerformanceOptimization:
    """E2E test: Performance optimization cycle."""

    def test_api_performance_improvement(self):
        """Test improving API performance."""
        # Baseline metrics
        baseline = {
            "p95_latency_ms": 800,
            "p99_latency_ms": 1500,
            "throughput_rps": 500,
        }

        # Profiling
        bottlenecks = [
            "Database queries taking 60% of time",
            "JSON serialization taking 20% of time",
            "Authentication taking 15% of time",
        ]

        # Optimizations
        optimizations = {
            "add_query_caching": True,
            "implement_connection_pooling": True,
            "optimize_json_library": True,
        }

        # Improved metrics
        improved = {
            "p95_latency_ms": 200,
            "p99_latency_ms": 350,
            "throughput_rps": 2000,
        }

        improvement_percent = {
            "p95": ((baseline["p95_latency_ms"] - improved["p95_latency_ms"]) / baseline["p95_latency_ms"]) * 100,
            "throughput": ((improved["throughput_rps"] - baseline["throughput_rps"]) / baseline["throughput_rps"]) * 100,
        }

        assert improvement_percent["p95"] > 70
        assert improvement_percent["throughput"] > 300
