scripts/production/deploy_33_integrations.py

#!/usr/bin/env python3
"""
ATOM Platform - 33 Integrations Deployment Script

This script executes the production deployment process for all 33 ATOM platform
integrations, including comprehensive testing, validation, and monitoring setup.

Usage:
    python deploy_33_integrations.py
"""

import asyncio
from dataclasses import dataclass
from datetime import datetime
import json
import logging
import os
import subprocess
import sys
import time
from typing import Any, Dict, List, Optional, Tuple
import requests

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s - %(levelname)s - %(message)s",
    handlers=[logging.FileHandler("deployment.log"), logging.StreamHandler(sys.stdout)],
)
logger = logging.getLogger(__name__)


@dataclass
class IntegrationStatus:
    """Status tracking for each integration"""

    name: str
    category: str
    endpoints: List[str]
    status: str = "pending"
    health_check: str = "not_tested"
    performance: Optional[float] = None
    errors: List[str] = None

    def __post_init__(self):
        if self.errors is None:
            self.errors = []


class IntegrationDeployment:
    """Production deployment execution for 33 integrations"""

    def __init__(self):
        self.base_url = "http://localhost:5058"
        self.frontend_url = "http://localhost:3000"
        self.deployment_log = []
        self.start_time = datetime.now()
        self.integrations = self._initialize_integrations()

    def _initialize_integrations(self) -> Dict[str, IntegrationStatus]:
        """Initialize all 33 integrations with their endpoints"""
        return {
            # Communication & Collaboration (7)
            "slack": IntegrationStatus(
                name="Slack",
                category="Communication",
                endpoints=["/slack/auth", "/slack/channels", "/slack/messages"],
            ),
            "teams": IntegrationStatus(
                name="Microsoft Teams",
                category="Communication",
                endpoints=["/teams/auth", "/teams/channels", "/teams/messages"],
            ),
            "discord": IntegrationStatus(
                name="Discord",
                category="Communication",
                endpoints=["/discord/auth", "/discord/channels", "/discord/messages"],
            ),
            "google_chat": IntegrationStatus(
                name="Google Chat",
                category="Communication",
                endpoints=[
                    "/google_chat/auth",
                    "/google_chat/spaces",
                    "/google_chat/messages",
                ],
            ),
            "telegram": IntegrationStatus(
                name="Telegram",
                category="Communication",
                endpoints=["/telegram/auth", "/telegram/chats", "/telegram/messages"],
            ),
            "whatsapp": IntegrationStatus(
                name="WhatsApp",
                category="Communication",
                endpoints=["/whatsapp/auth", "/whatsapp/chats", "/whatsapp/messages"],
            ),
            "zoom": IntegrationStatus(
                name="Zoom",
                category="Communication",
                endpoints=["/zoom/auth", "/zoom/meetings", "/zoom/recordings"],
            ),
            # Document Storage & File Management (5)
            "google_drive": IntegrationStatus(
                name="Google Drive",
                category="Document Storage",
                endpoints=[
                    "/google_drive/auth",
                    "/google_drive/files",
                    "/google_drive/search",
                ],
            ),
            "dropbox": IntegrationStatus(
                name="Dropbox",
                category="Document Storage",
                endpoints=["/dropbox/auth", "/dropbox/files", "/dropbox/search"],
            ),
            "box": IntegrationStatus(
                name="Box",
                category="Document Storage",
                endpoints=["/box/auth", "/box/files", "/box/search"],
            ),
            "onedrive": IntegrationStatus(
                name="OneDrive",
                category="Document Storage",
                endpoints=["/onedrive/auth", "/onedrive/files", "/onedrive/search"],
            ),
            "github": IntegrationStatus(
                name="GitHub",
                category="Document Storage",
                endpoints=["/github/auth", "/github/repos", "/github/search"],
            ),
            # Productivity & Project Management (7)
            "asana": IntegrationStatus(
                name="Asana",
                category="Productivity",
                endpoints=["/asana/auth", "/asana/projects", "/asana/tasks"],
            ),
            "notion": IntegrationStatus(
                name="Notion",
                category="Productivity",
                endpoints=["/notion/auth", "/notion/pages", "/notion/databases"],
            ),
            "linear": IntegrationStatus(
                name="Linear",
                category="Productivity",
                endpoints=["/linear/auth", "/linear/issues", "/linear/teams"],
            ),
            "monday": IntegrationStatus(
                name="Monday.com",
                category="Productivity",
                endpoints=["/monday/auth", "/monday/boards", "/monday/items"],
            ),
            "trello": IntegrationStatus(
                name="Trello",
                category="Productivity",
                endpoints=["/trello/auth", "/trello/boards", "/trello/cards"],
            ),
            "jira": IntegrationStatus(
                name="Jira",
                category="Productivity",
                endpoints=["/jira/auth", "/jira/projects", "/jira/issues"],
            ),
            "gitlab": IntegrationStatus(
                name="GitLab",
                category="Productivity",
                endpoints=["/gitlab/auth", "/gitlab/projects", "/gitlab/issues"],
            ),
            # CRM & Business Operations (5)
            "salesforce": IntegrationStatus(
                name="Salesforce",
                category="CRM",
                endpoints=[
                    "/salesforce/auth",
                    "/salesforce/contacts",
                    "/salesforce/opportunities",
                ],
            ),
            "hubspot": IntegrationStatus(
                name="HubSpot",
                category="CRM",
                endpoints=[
                    "/hubspot/auth",
                    "/hubspot/contacts",
                    "/hubspot/deals",
                    "/hubspot/campaigns",
                ],
            ),
            "intercom": IntegrationStatus(
                name="Intercom",
                category="CRM",
                endpoints=[
                    "/intercom/auth",
                    "/intercom/contacts",
                    "/intercom/conversations",
                ],
            ),
            "freshdesk": IntegrationStatus(
                name="Freshdesk",
                category="CRM",
                endpoints=[
                    "/freshdesk/auth",
                    "/freshdesk/tickets",
                    "/freshdesk/contacts",
                ],
            ),
            "zendesk": IntegrationStatus(
                name="Zendesk",
                category="CRM",
                endpoints=["/zendesk/auth", "/zendesk/tickets", "/zendesk/users"],
            ),
            # Financial & Payment Systems (3)
            "stripe": IntegrationStatus(
                name="Stripe",
                category="Financial",
                endpoints=["/stripe/auth", "/stripe/customers", "/stripe/payments"],
            ),
            "quickbooks": IntegrationStatus(
                name="QuickBooks",
                category="Financial",
                endpoints=[
                    "/quickbooks/auth",
                    "/quickbooks/invoices",
                    "/quickbooks/customers",
                ],
            ),
            "xero": IntegrationStatus(
                name="Xero",
                category="Financial",
                endpoints=["/xero/auth", "/xero/invoices", "/xero/contacts"],
            ),
            # Marketing & Analytics (6)
            "mailchimp": IntegrationStatus(
                name="Mailchimp",
                category="Marketing",
                endpoints=[
                    "/mailchimp/auth",
                    "/mailchimp/campaigns",
                    "/mailchimp/audiences",
                ],
            ),
            "hubspot_marketing": IntegrationStatus(
                name="HubSpot Marketing",
                category="Marketing",
                endpoints=[
                    "/hubspot_marketing/auth",
                    "/hubspot_marketing/campaigns",
                    "/hubspot_marketing/analytics",
                ],
            ),
            "tableau": IntegrationStatus(
                name="Tableau",
                category="Analytics",
                endpoints=[
                    "/tableau/auth",
                    "/tableau/workbooks",
                    "/tableau/dashboards",
                ],
            ),
            "google_analytics": IntegrationStatus(
                name="Google Analytics",
                category="Analytics",
                endpoints=[
                    "/google_analytics/auth",
                    "/google_analytics/reports",
                    "/google_analytics/audiences",
                ],
            ),
            "figma": IntegrationStatus(
                name="Figma",
                category="Design",
                endpoints=["/figma/auth", "/figma/files", "/figma/prototypes"],
            ),
            "shopify": IntegrationStatus(
                name="Shopify",
                category="E-commerce",
                endpoints=["/shopify/auth", "/shopify/products", "/shopify/orders"],
            ),
        }

    def log_step(self, step_name: str, status: str, message: str = ""):
        """Log deployment step with timestamp"""
        timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
        log_entry = f"{timestamp} - {step_name} - {status} - {message}"
        self.deployment_log.append(log_entry)
        logger.info(f"{step_name}: {status} - {message}")

        # Update integration status if applicable
        for integration_name, integration in self.integrations.items():
            if integration_name in step_name.lower():
                integration.status = status
                if "error" in status.lower():
                    integration.errors.append(message)

    async def check_backend_health(self) -> bool:
        """Check if backend API is healthy"""
        try:
            response = requests.get(f"{self.base_url}/health", timeout=10)
            if response.status_code == 200:
                self.log_step(
                    "Backend Health Check", "success", "Backend API is healthy"
                )
                return True
            else:
                self.log_step(
                    "Backend Health Check",
                    "error",
                    f"Status code: {response.status_code}",
                )
                return False
        except Exception as e:
            self.log_step("Backend Health Check", "error", f"Exception: {str(e)}")
            return False

    async def test_integration_endpoint(
        self, integration_name: str, endpoint: str
    ) -> Tuple[bool, float]:
        """Test a specific integration endpoint"""
        try:
            start_time = time.time()
            url = f"{self.base_url}{endpoint}"

            # For testing purposes, we'll check if the endpoint exists
            # In production, this would make actual API calls
            response = requests.get(url, timeout=30)
            response_time = (time.time() - start_time) * 1000  # Convert to milliseconds

            if response.status_code in [
                200,
                401,
            ]:  # 401 is expected for unauthenticated endpoints
                return True, response_time
            else:
                return False, response_time

        except Exception as e:
            return False, 0.0

    async def validate_integration(
        self, integration_name: str, integration: IntegrationStatus
    ):
        """Validate a single integration"""
        self.log_step(
            f"Validate {integration_name}",
            "started",
            f"Testing {len(integration.endpoints)} endpoints",
        )

        successful_endpoints = 0
        total_response_time = 0

        for endpoint in integration.endpoints:
            success, response_time = await self.test_integration_endpoint(
                integration_name, endpoint
            )
            if success:
                successful_endpoints += 1
                total_response_time += response_time
                self.log_step(
                    f"{integration_name} - {endpoint}",
                    "success",
                    f"Response: {response_time:.2f}ms",
                )
            else:
                self.log_step(
                    f"{integration_name} - {endpoint}", "error", "Endpoint test failed"
                )

        # Calculate average response time
        if successful_endpoints > 0:
            avg_response_time = total_response_time / successful_endpoints
            integration.performance = avg_response_time

        # Update integration status
        if successful_endpoints == len(integration.endpoints):
            integration.status = "healthy"
            integration.health_check = "passed"
            self.log_step(
                f"Validate {integration_name}",
                "success",
                f"All endpoints healthy (avg: {integration.performance:.2f}ms)",
            )
        else:
            integration.status = "degraded"
            integration.health_check = "partial"
            self.log_step(
                f"Validate {integration_name}",
                "warning",
                f"{successful_endpoints}/{len(integration.endpoints)} endpoints working",
            )

    async def validate_all_integrations(self):
        """Validate all 33 integrations"""
        self.log_step(
            "Validate All Integrations", "started", "Testing all 33 integrations"
        )

        tasks = []
        for integration_name, integration in self.integrations.items():
            task = self.validate_integration(integration_name, integration)
            tasks.append(task)

        # Run validation in batches to avoid overwhelming the system
        batch_size = 5
        for i in range(0, len(tasks), batch_size):
            batch = tasks[i : i + batch_size]
            await asyncio.gather(*batch)
            await asyncio.sleep(1)  # Brief pause between batches

        self.log_step(
            "Validate All Integrations", "completed", "All integrations validated"
        )

    def generate_deployment_report(self) -> Dict[str, Any]:
        """Generate comprehensive deployment report"""
        healthy_count = sum(
            1 for i in self.integrations.values() if i.status == "healthy"
        )
        degraded_count = sum(
            1 for i in self.integrations.values() if i.status == "degraded"
        )
        failed_count = sum(1 for i in self.integrations.values() if i.status == "error")

        # Calculate performance statistics
        response_times = [
            i.performance for i in self.integrations.values() if i.performance
        ]
        avg_response_time = (
            sum(response_times) / len(response_times) if response_times else 0
        )

        report = {
            "deployment_id": f"deploy_{int(time.time())}",
            "timestamp": datetime.now().isoformat(),
            "duration_seconds": (datetime.now() - self.start_time).total_seconds(),
            "summary": {
                "total_integrations": 33,
                "healthy_integrations": healthy_count,
                "degraded_integrations": degraded_count,
                "failed_integrations": failed_count,
                "success_rate": (healthy_count / 33) * 100,
                "average_response_time_ms": avg_response_time,
            },
            "integrations": {
                name: {
                    "name": integration.name,
                    "category": integration.category,
                    "status": integration.status,
                    "health_check": integration.health_check,
                    "performance_ms": integration.performance,
                    "endpoints": integration.endpoints,
                    "errors": integration.errors,
                }
                for name, integration in self.integrations.items()
            },
            "log_entries": self.deployment_log,
        }

        return report

    def save_deployment_report(self, report: Dict[str, Any]):
        """Save deployment report to file"""
        filename = f"deployment_report_{report['deployment_id']}.json"
        with open(filename, "w") as f:
            json.dump(report, f, indent=2)

        self.log_step(
            "Save Deployment Report", "success", f"Report saved to {filename}"
        )

        # Also save a human-readable summary
        summary_filename = f"deployment_summary_{report['deployment_id']}.txt"
        with open(summary_filename, "w") as f:
            f.write("ATOM Platform - 33 Integrations Deployment Summary\n")
            f.write("=" * 60 + "\n\n")
            f.write(f"Deployment ID: {report['deployment_id']}\n")
            f.write(f"Timestamp: {report['timestamp']}\n")
            f.write(f"Duration: {report['duration_seconds']:.2f} seconds\n\n")

            f.write("SUMMARY:\n")
            f.write(
                f"  Total Integrations: {report['summary']['total_integrations']}\n"
            )
            f.write(f"  Healthy: {report['summary']['healthy_integrations']}\n")
            f.write(f"  Degraded: {report['summary']['degraded_integrations']}\n")
            f.write(f"  Failed: {report['summary']['failed_integrations']}\n")
            f.write(f"  Success Rate: {report['summary']['success_rate']:.1f}%\n")
            f.write(
                f"  Avg Response Time: {report['summary']['average_response_time_ms']:.2f}ms\n\n"
            )

            f.write("INTEGRATION STATUS BY CATEGORY:\n")
            categories = {}
            for integration in report["integrations"].values():
                category = integration["category"]
                if category not in categories:
                    categories[category] = {"total": 0, "healthy": 0}
                categories[category]["total"] += 1
                if integration["status"] == "healthy":
                    categories[category]["healthy"] += 1

            for category, stats in categories.items():
                success_rate = (stats["healthy"] / stats["total"]) * 100
                f.write(
                    f"  {category}: {stats['healthy']}/{stats['total']} ({success_rate:.1f}%)\n"
                )

    async def execute_deployment(self):
        """Execute the complete deployment process"""
        self.log_step(
            "Deployment Start", "started", "Beginning 33 integrations deployment"
        )

        try:
            # Step 1: Verify backend health
            if not await self.check_backend_health():
                self.log_step("Deployment", "error", "Backend health check failed")
                return False

            # Step 2: Validate all integrations
            await self.validate_all_integrations()

            # Step 3: Generate and save report
            report = self.generate_deployment_report()
            self.save_deployment_report(report)

            # Step 4: Final status
            success_rate = report["summary"]["success_rate"]
            if success_rate >= 95:
                self.log_step(
                    "Deployment Complete",
                    "success",
                    f"Deployment successful! {success_rate:.1f}% of integrations healthy",
                )
                return True
            elif success_rate >= 80:
                self.log_step(
                    "Deployment Complete",
                    "warning",
                    f"Deployment completed with warnings. {success_rate:.1f}% of integrations healthy",
                )
                return True
            else:
                self.log_step(
                    "Deployment Complete",
                    "error",
                    f"Deployment failed. Only {success_rate:.1f}% of integrations healthy",
                )
                return False

        except Exception as e:
            self.log_step(
                "Deployment", "error", f"Deployment failed with exception: {str(e)}"
            )
            return False


async def main():
    """Main execution function"""
    print("🚀 ATOM Platform - 33 Integrations Deployment")
    print("=" * 50)

    deployment = IntegrationDeployment()
    success = await deployment.execute_deployment()

    print("\n" + "=" * 50)
    if success:
        print("✅ DEPLOYMENT COMPLETED SUCCESSFULLY")