whyrating-engine-legacy/api_server_production.py

#!/usr/bin/env python3
"""
Production Google Reviews Scraper API Server with Phase 1 features:
- PostgreSQL storage with JSONB
- Webhook delivery with retries
- Smart health checks with canary testing
"""
import asyncio
import json
import logging
import os
from contextlib import asynccontextmanager
from typing import Optional, List, Dict, Any
from uuid import UUID

from fastapi import FastAPI, HTTPException, Query, Header
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, HttpUrl, Field
from fastapi.responses import JSONResponse, StreamingResponse

from modules.database import DatabaseManager, JobStatus
from modules.webhooks import WebhookDispatcher, WebhookManager
from modules.health_checks import HealthCheckSystem
from modules.scraper_clean import fast_scrape_reviews, LogCapture, get_business_card_info  # Clean scraper
from modules.chrome_pool import (
    start_worker_pools,
    stop_worker_pools,
    get_validation_worker,
    release_validation_worker,
    get_scraping_worker,
    release_scraping_worker,
    get_pool_stats
)

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
log = logging.getLogger("api_server")

# Global instances
db: Optional[DatabaseManager] = None
webhook_dispatcher: Optional[WebhookDispatcher] = None
health_system: Optional[HealthCheckSystem] = None

# Concurrent job limiter (prevent too many Chrome instances)
MAX_CONCURRENT_JOBS = int(os.getenv('MAX_CONCURRENT_JOBS', '5'))
job_semaphore = asyncio.Semaphore(MAX_CONCURRENT_JOBS)

# SSE: Store for broadcasting job updates to connected clients
# Format: {job_id: [asyncio.Queue, ...]} for job-specific streams
# Format: {"all": [asyncio.Queue, ...]} for all-jobs stream
job_update_queues: Dict[str, List[asyncio.Queue]] = {"all": []}


@asynccontextmanager
async def lifespan(app: FastAPI):
    """Lifespan context manager for startup and shutdown"""
    global db, webhook_dispatcher, health_system

    # Startup
    log.info("Starting Google Reviews Scraper API Server (Production)")

    # Get database URL from environment
    database_url = os.getenv(
        'DATABASE_URL',
        'postgresql://scraper:scraper@localhost:5432/scraper'
    )

    # Initialize database
    db = DatabaseManager(database_url)
    await db.connect()
    await db.initialize_schema()
    log.info("Database initialized")

    # Initialize health check system with canary monitoring
    # DISABLED: Canary tests consume Google Maps requests and trigger rate limiting
    # health_system = HealthCheckSystem(db)
    # await health_system.start()
    log.info("Health check system DISABLED (canary tests disabled to avoid rate limiting)")

    # Initialize webhook dispatcher
    webhook_dispatcher = WebhookDispatcher(db, interval_seconds=30)
    asyncio.create_task(webhook_dispatcher.start())
    log.info("Webhook dispatcher started")

    # Start Chrome worker pools (1 for validation, 2 for scraping)
    # These pre-warm Chrome instances for instant availability
    # headless=False because Docker uses Xvfb virtual display for better compatibility
    await asyncio.to_thread(
        start_worker_pools,
        validation_size=1,
        scraping_size=2,
        headless=False
    )
    log.info("Chrome worker pools started (1 validation + 2 scraping)")

    yield

    # Shutdown
    log.info("Shutting down Google Reviews Scraper API Server")
    if webhook_dispatcher:
        webhook_dispatcher.stop()
    # if health_system:
    #     health_system.stop()

    # Stop worker pools
    await asyncio.to_thread(stop_worker_pools)
    log.info("Chrome worker pools stopped")

    if db:
        await db.disconnect()


# Initialize FastAPI app
app = FastAPI(
    title="Google Reviews Scraper API - Production",
    description="Production-ready REST API for Google Maps review scraping with webhooks and health monitoring",
    version="2.0.0",
    lifespan=lifespan
)

# Add CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # Configure for production
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


# ==================== Request/Response Models ====================

class ScrapeRequest(BaseModel):
    """Request model for starting a scrape job"""
    url: HttpUrl = Field(..., description="Google Maps URL to scrape")
    webhook_url: Optional[HttpUrl] = Field(None, description="Webhook URL for async notifications")
    webhook_secret: Optional[str] = Field(None, description="Secret for webhook HMAC signature")
    metadata: Optional[Dict[str, Any]] = Field(None, description="Optional custom metadata")


class JobResponse(BaseModel):
    """Response model for job information"""
    job_id: str
    status: str
    url: str
    created_at: str
    started_at: Optional[str] = None
    completed_at: Optional[str] = None
    reviews_count: Optional[int] = None
    total_reviews: Optional[int] = None  # Total reviews available for this place
    scrape_time: Optional[float] = None
    error_message: Optional[str] = None
    webhook_url: Optional[str] = None
    # Business metadata
    business_name: Optional[str] = None
    business_address: Optional[str] = None


class ReviewsResponse(BaseModel):
    """Response model for reviews data"""
    job_id: str
    reviews: List[Dict[str, Any]]
    count: int


class StatsResponse(BaseModel):
    """Response model for statistics"""
    total_jobs: int
    pending: int
    running: int
    completed: int
    failed: int
    cancelled: int
    avg_scrape_time: Optional[float] = None
    total_reviews: Optional[int] = None


# ==================== API Endpoints ====================

@app.get("/", summary="API Health Check")
async def root():
    """Basic health check endpoint"""
    return {
        "message": "Google Reviews Scraper API (Production)",
        "status": "healthy",
        "version": "2.0.0",
        "features": ["postgresql", "webhooks", "canary-testing"]
    }


@app.post("/scrape", response_model=Dict[str, str], summary="Start Scraping Job")
async def start_scrape(request: ScrapeRequest):
    """
    Start a new scraping job.

    The job runs asynchronously in the background. You can:
    - Poll GET /jobs/{job_id} for status
    - Provide webhook_url for automatic notification when complete

    Returns the job ID for tracking.
    """
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    try:
        # Create job in database
        job_id = await db.create_job(
            url=str(request.url),
            webhook_url=str(request.webhook_url) if request.webhook_url else None,
            webhook_secret=request.webhook_secret,
            metadata=request.metadata
        )

        # Start scraping job in background
        asyncio.create_task(run_scraping_job(job_id))

        log.info(f"Created and started job {job_id}")

        return {
            "job_id": str(job_id),
            "status": "started",
            "message": "Scraping job started successfully"
        }

    except Exception as e:
        log.error(f"Error creating scraping job: {e}")
        raise HTTPException(status_code=500, detail=f"Failed to create scraping job: {str(e)}")


@app.get("/jobs/{job_id}", response_model=JobResponse, summary="Get Job Status")
async def get_job(job_id: UUID):
    """Get detailed information about a specific job"""
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    job = await db.get_job(job_id)
    if not job:
        raise HTTPException(status_code=404, detail="Job not found")

    return JobResponse(
        job_id=str(job['job_id']),
        status=job['status'],
        url=job['url'],
        created_at=job['created_at'].isoformat(),
        started_at=job['started_at'].isoformat() if job['started_at'] else None,
        completed_at=job['completed_at'].isoformat() if job['completed_at'] else None,
        reviews_count=job['reviews_count'],
        total_reviews=job.get('total_reviews'),
        scrape_time=job['scrape_time'],
        error_message=job['error_message'],
        webhook_url=job.get('webhook_url')
    )


@app.get("/jobs/{job_id}/logs", summary="Get Job Logs")
async def get_job_logs(job_id: UUID):
    """
    Get the scraper logs for a job.

    Returns logs from both successful and failed jobs.
    Useful for debugging scraping issues.
    """
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    job = await db.get_job(job_id)
    if not job:
        raise HTTPException(status_code=404, detail="Job not found")

    # Get scrape_logs from job
    scrape_logs = job.get('scrape_logs')

    # Parse if string (asyncpg might return JSONB as string)
    if isinstance(scrape_logs, str):
        try:
            scrape_logs = json.loads(scrape_logs)
        except:
            scrape_logs = None

    return {
        "job_id": str(job_id),
        "status": job['status'],
        "error_message": job.get('error_message'),
        "logs": scrape_logs or [],
        "log_count": len(scrape_logs) if scrape_logs else 0
    }


# ==================== SSE Streaming Endpoints ====================

async def broadcast_job_update(job_id: str, event_type: str, data: dict):
    """Broadcast an update to all subscribers of a job stream and the all-jobs stream."""
    message = f"event: {event_type}\ndata: {json.dumps(data)}\n\n"

    # Send to job-specific subscribers
    if job_id in job_update_queues:
        for queue in job_update_queues[job_id]:
            try:
                await queue.put(message)
            except:
                pass

    # Send to all-jobs subscribers
    for queue in job_update_queues.get("all", []):
        try:
            await queue.put(message)
        except:
            pass


@app.get("/jobs/{job_id}/stream", summary="Stream Job Updates (SSE)")
async def stream_job_updates(job_id: UUID):
    """
    Server-Sent Events stream for real-time job updates.

    Streams:
    - status: Job status changes
    - progress: Review count and progress updates
    - logs: New log entries
    - complete: Job finished (completed/failed)

    Connect with EventSource in the browser:
    ```javascript
    const es = new EventSource('/jobs/{job_id}/stream');
    es.onmessage = (e) => console.log(JSON.parse(e.data));
    es.addEventListener('logs', (e) => console.log('Logs:', JSON.parse(e.data)));
    ```
    """
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    # Verify job exists
    job = await db.get_job(job_id)
    if not job:
        raise HTTPException(status_code=404, detail="Job not found")

    job_id_str = str(job_id)

    # Create queue for this client
    queue: asyncio.Queue = asyncio.Queue()

    # Register subscriber
    if job_id_str not in job_update_queues:
        job_update_queues[job_id_str] = []
    job_update_queues[job_id_str].append(queue)

    async def event_generator():
        try:
            # Send initial state
            job_data = await db.get_job(job_id)
            if job_data:
                scrape_logs = job_data.get('scrape_logs')
                if isinstance(scrape_logs, str):
                    try:
                        scrape_logs = json.loads(scrape_logs)
                    except:
                        scrape_logs = []

                initial = {
                    "job_id": job_id_str,
                    "status": job_data['status'],
                    "reviews_count": job_data.get('reviews_count'),
                    "total_reviews": job_data.get('total_reviews'),
                    "scrape_time": job_data.get('scrape_time'),
                    "error_message": job_data.get('error_message'),
                    "logs": scrape_logs or []
                }
                yield f"event: init\ndata: {json.dumps(initial)}\n\n"

            # If job is already complete, send complete event and close
            if job_data and job_data['status'] in ['completed', 'failed', 'cancelled']:
                yield f"event: complete\ndata: {json.dumps({'status': job_data['status']})}\n\n"
                return

            # Keep connection alive and send updates
            last_log_count = len(scrape_logs) if scrape_logs else 0
            last_reviews_count = job_data.get('reviews_count') if job_data else 0

            while True:
                try:
                    # Wait for update with timeout (for keepalive)
                    try:
                        message = await asyncio.wait_for(queue.get(), timeout=2.0)
                        yield message
                    except asyncio.TimeoutError:
                        # Send keepalive comment
                        yield ": keepalive\n\n"

                        # Also poll database for updates (backup in case broadcast missed)
                        job_data = await db.get_job(job_id)
                        if job_data:
                            # Check for status change
                            if job_data['status'] in ['completed', 'failed', 'cancelled']:
                                scrape_logs = job_data.get('scrape_logs')
                                if isinstance(scrape_logs, str):
                                    try:
                                        scrape_logs = json.loads(scrape_logs)
                                    except:
                                        scrape_logs = []

                                final = {
                                    "job_id": job_id_str,
                                    "status": job_data['status'],
                                    "reviews_count": job_data.get('reviews_count'),
                                    "total_reviews": job_data.get('total_reviews'),
                                    "scrape_time": job_data.get('scrape_time'),
                                    "error_message": job_data.get('error_message'),
                                    "logs": scrape_logs or []
                                }
                                yield f"event: complete\ndata: {json.dumps(final)}\n\n"
                                return

                            # Check for new logs or progress
                            scrape_logs = job_data.get('scrape_logs')
                            if isinstance(scrape_logs, str):
                                try:
                                    scrape_logs = json.loads(scrape_logs)
                                except:
                                    scrape_logs = []

                            current_log_count = len(scrape_logs) if scrape_logs else 0
                            current_reviews = job_data.get('reviews_count') or 0

                            if current_log_count > last_log_count or current_reviews != last_reviews_count:
                                update = {
                                    "job_id": job_id_str,
                                    "status": job_data['status'],
                                    "reviews_count": current_reviews,
                                    "total_reviews": job_data.get('total_reviews'),
                                    "logs": scrape_logs or []
                                }
                                yield f"event: update\ndata: {json.dumps(update)}\n\n"
                                last_log_count = current_log_count
                                last_reviews_count = current_reviews

                except Exception as e:
                    log.error(f"Error in SSE stream for job {job_id}: {e}")
                    break

        finally:
            # Unregister subscriber
            if job_id_str in job_update_queues:
                try:
                    job_update_queues[job_id_str].remove(queue)
                    if not job_update_queues[job_id_str]:
                        del job_update_queues[job_id_str]
                except:
                    pass

    return StreamingResponse(
        event_generator(),
        media_type="text/event-stream",
        headers={
            "Cache-Control": "no-cache",
            "Connection": "keep-alive",
            "X-Accel-Buffering": "no"  # Disable nginx buffering
        }
    )


@app.get("/jobs/stream", summary="Stream All Jobs Updates (SSE)")
async def stream_all_jobs():
    """
    Server-Sent Events stream for all job updates.

    Streams:
    - job_created: New job was created
    - job_updated: Job status/progress changed
    - job_completed: Job finished

    Connect with EventSource in the browser:
    ```javascript
    const es = new EventSource('/jobs/stream');
    es.addEventListener('job_updated', (e) => console.log('Update:', JSON.parse(e.data)));
    ```
    """
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    # Create queue for this client
    queue: asyncio.Queue = asyncio.Queue()

    # Register subscriber to all-jobs stream
    job_update_queues["all"].append(queue)

    async def event_generator():
        try:
            # Send initial jobs list
            jobs = await db.list_jobs(limit=100)
            jobs_data = [
                {
                    "job_id": str(j['job_id']),
                    "status": j['status'],
                    "url": j['url'],
                    "created_at": j['created_at'].isoformat(),
                    "completed_at": j['completed_at'].isoformat() if j.get('completed_at') else None,
                    "reviews_count": j.get('reviews_count'),
                    "scrape_time": j.get('scrape_time'),
                    "error_message": j.get('error_message')
                }
                for j in jobs
            ]
            yield f"event: init\ndata: {json.dumps({'jobs': jobs_data})}\n\n"

            # Keep connection alive and send updates
            while True:
                try:
                    # Wait for update with timeout (for keepalive)
                    try:
                        message = await asyncio.wait_for(queue.get(), timeout=5.0)
                        yield message
                    except asyncio.TimeoutError:
                        # Send keepalive comment
                        yield ": keepalive\n\n"

                except Exception as e:
                    log.error(f"Error in all-jobs SSE stream: {e}")
                    break

        finally:
            # Unregister subscriber
            try:
                job_update_queues["all"].remove(queue)
            except:
                pass

    return StreamingResponse(
        event_generator(),
        media_type="text/event-stream",
        headers={
            "Cache-Control": "no-cache",
            "Connection": "keep-alive",
            "X-Accel-Buffering": "no"
        }
    )


@app.get("/jobs/{job_id}/reviews", response_model=ReviewsResponse, summary="Get Job Reviews")
async def get_job_reviews(job_id: UUID):
    """
    Get the actual reviews data for a completed job.

    Returns 404 if job not found or not completed yet.
    """
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    reviews = await db.get_job_reviews(job_id)
    if reviews is None:
        job = await db.get_job(job_id)
        if not job:
            raise HTTPException(status_code=404, detail="Job not found")
        elif job['status'] != 'completed':
            raise HTTPException(
                status_code=400,
                detail=f"Job not completed yet (current status: {job['status']})"
            )
        else:
            raise HTTPException(status_code=404, detail="Reviews data not available")

    return ReviewsResponse(
        job_id=str(job_id),
        reviews=reviews,
        count=len(reviews)
    )


@app.get("/jobs", response_model=List[JobResponse], summary="List Jobs")
async def list_jobs(
    status: Optional[str] = Query(None, description="Filter by job status"),
    limit: int = Query(100, description="Maximum number of jobs to return", ge=1, le=1000),
    offset: int = Query(0, description="Number of jobs to skip", ge=0)
):
    """List all jobs, optionally filtered by status"""
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    # Validate status if provided
    job_status = None
    if status:
        try:
            job_status = JobStatus(status.lower())
        except ValueError:
            raise HTTPException(
                status_code=400,
                detail=f"Invalid status. Must be one of: {[s.value for s in JobStatus]}"
            )

    jobs = await db.list_jobs(status=job_status, limit=limit, offset=offset)

    result = []
    for job in jobs:
        # Extract business info from metadata if available
        metadata = job.get('metadata')
        if isinstance(metadata, str):
            try:
                metadata = json.loads(metadata)
            except:
                metadata = None

        business_name = metadata.get('business_name') if metadata else None
        business_address = metadata.get('business_address') if metadata else None

        result.append(JobResponse(
            job_id=str(job['job_id']),
            status=job['status'],
            url=job['url'],
            created_at=job['created_at'].isoformat(),
            completed_at=job['completed_at'].isoformat() if job.get('completed_at') else None,
            reviews_count=job.get('reviews_count'),
            total_reviews=job.get('total_reviews'),
            scrape_time=job.get('scrape_time'),
            error_message=job.get('error_message'),
            business_name=business_name,
            business_address=business_address
        ))

    return result


@app.delete("/jobs/{job_id}", summary="Delete Job")
async def delete_job(job_id: UUID):
    """Delete a job from the system"""
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    deleted = await db.delete_job(job_id)
    if not deleted:
        raise HTTPException(status_code=404, detail="Job not found")

    return {"message": "Job deleted successfully"}


@app.post("/check-reviews", summary="Check if Reviews Exist")
async def check_reviews(request: ScrapeRequest):
    """
    Get business card information from Google Maps.
    Returns business name, address, rating, and review count.

    Uses pre-warmed Chrome worker from pool for instant response.
    This is used to show the business confirmation card in the UI.
    """
    worker = None
    recycle_worker = False

    try:
        url = str(request.url)

        # Get pre-warmed worker from validation pool
        worker = await asyncio.to_thread(get_validation_worker, timeout=10)

        if worker:
            log.info(f"Using worker {worker.worker_id} for business card extraction")
            # Use the pooled worker (don't close it)
            result = await asyncio.to_thread(
                get_business_card_info,
                url=url,
                driver=worker.driver,
                return_driver=True
            )

            # Check if the result indicates a session error
            if not result['success'] and result.get('error'):
                error_msg = result.get('error', '').lower()
                if 'invalid session' in error_msg or 'session' in error_msg:
                    log.warning(f"Worker {worker.worker_id} has invalid session, will recycle")
                    recycle_worker = True
        else:
            # Fallback: create temporary worker
            log.warning("No pooled worker available, creating temporary instance")
            result = await asyncio.to_thread(
                get_business_card_info,
                url=url
            )

        # SIMPLIFIED VALIDATION: If we found a business (name + rating), assume it has reviews
        # Let the actual scraper determine if reviews exist
        has_business = bool(result.get('name') and result.get('rating'))

        return {
            "has_reviews": has_business,  # Boolean: true if business exists
            "total_reviews": result.get('total_reviews') or 0,  # Show 0 if unknown
            "name": result.get('name'),
            "address": result.get('address'),
            "rating": result.get('rating'),
            "success": result['success'],
            "error": result.get('error')
        }

    except Exception as e:
        log.error(f"Error checking reviews: {e}")
        # If it's a session error, recycle the worker
        if worker:
            error_msg = str(e).lower()
            if 'invalid session' in error_msg or 'session' in error_msg:
                recycle_worker = True

        return {
            "has_reviews": False,
            "review_count": 0,
            "success": False,
            "error": str(e)
        }
    finally:
        # Release worker back to pool (or recycle if broken)
        if worker:
            await asyncio.to_thread(release_validation_worker, worker, recycle=recycle_worker)


@app.get("/stats", response_model=StatsResponse, summary="Get Statistics")
async def get_stats():
    """Get job statistics"""
    if not db:
        raise HTTPException(status_code=500, detail="Database not initialized")

    stats = await db.get_stats()
    return StatsResponse(**stats)


@app.get("/pool-stats", summary="Get Worker Pool Statistics")
async def pool_stats():
    """Get Chrome worker pool statistics"""
    return await asyncio.to_thread(get_pool_stats)


# ==================== Health Check Endpoints ====================

@app.get("/health/live", summary="Liveness Probe")
async def liveness():
    """
    Liveness check: Is the server alive?

    Use this for Kubernetes liveness probe - restart container if fails.
    """
    if not health_system:
        raise HTTPException(status_code=503, detail="Health system not initialized")

    return await health_system.check_liveness()


@app.get("/health/ready", summary="Readiness Probe")
async def readiness():
    """
    Readiness check: Can the server handle traffic?

    Use this for Kubernetes readiness probe - remove from load balancer if fails.
    """
    if not health_system:
        raise HTTPException(status_code=503, detail="Health system not initialized")

    result = await health_system.check_readiness()

    if result["status"] != "ready":
        return JSONResponse(status_code=503, content=result)

    return result


@app.get("/health/canary", summary="Canary Health Check")
async def canary():
    """
    Canary check: Does scraping actually work?

    Returns the latest canary test result (runs every 4 hours in background).
    Use this for external monitoring (PagerDuty, DataDog) - alerts if fails.
    """
    if not health_system:
        raise HTTPException(status_code=503, detail="Health system not initialized")

    result = await health_system.check_canary()

    if result["status"] not in ["healthy", "unknown"]:
        return JSONResponse(status_code=503, content=result)

    return result


@app.get("/health/detailed", summary="Detailed Health Status")
async def detailed_health():
    """Get detailed health status of all components"""
    if not health_system:
        raise HTTPException(status_code=503, detail="Health system not initialized")

    return await health_system.get_detailed_health()


# ==================== Background Job Runner ====================

async def run_scraping_job(job_id: UUID):
    """
    Run scraping job in background with concurrency limit.

    Args:
        job_id: Job UUID
    """
    job_id_str = str(job_id)

    async with job_semaphore:  # Limit concurrent Chrome instances
        try:
            # Update status to running
            await db.update_job_status(job_id, JobStatus.RUNNING)
            log.info(f"Starting scraping job {job_id}")

            # Get job details
            job = await db.get_job(job_id)
            url = job['url']

            # Broadcast job started via SSE
            await broadcast_job_update(job_id_str, "job_started", {
                "job_id": job_id_str,
                "status": "running",
                "url": url
            })

            # Get the event loop for progress updates from worker thread
            loop = asyncio.get_running_loop()

            # Create log capture instance that we can access for real-time logs
            log_capture = LogCapture()

            # Progress callback to update job status with current/total counts AND logs
            def progress_callback(current_count: int, total_count: int):
                """Update job progress and logs from worker thread"""
                async def update():
                    # Get current logs from the shared log_capture
                    current_logs = log_capture.get_logs()
                    await db.update_job_status(
                        job_id,
                        JobStatus.RUNNING,
                        reviews_count=current_count,
                        total_reviews=total_count,
                        scrape_logs=current_logs
                    )

                    # Broadcast progress via SSE
                    await broadcast_job_update(job_id_str, "job_progress", {
                        "job_id": job_id_str,
                        "status": "running",
                        "reviews_count": current_count,
                        "total_reviews": total_count,
                        "logs": current_logs
                    })

                # Schedule the coroutine on the event loop
                asyncio.run_coroutine_threadsafe(update(), loop)

            # Run scraping with progress callback and shared log capture
            # headless=False because Docker uses Xvfb virtual display
            result = await asyncio.to_thread(
                fast_scrape_reviews,
                url=url,
                headless=False,
                progress_callback=progress_callback,
                log_capture=log_capture
            )

            if result['success']:
                # Save results to database (including scraper logs)
                await db.save_job_result(
                    job_id=job_id,
                    reviews=result['reviews'],
                    scrape_time=result['time'],
                    total_reviews=result.get('total_reviews'),
                    scrape_logs=result.get('logs')
                )

                log.info(
                    f"Completed job {job_id}: {result['count']} reviews in {result['time']:.1f}s"
                )

                # Broadcast job completed via SSE
                await broadcast_job_update(job_id_str, "job_completed", {
                    "job_id": job_id_str,
                    "status": "completed",
                    "reviews_count": result['count'],
                    "total_reviews": result.get('total_reviews'),
                    "scrape_time": result['time'],
                    "logs": result.get('logs', [])
                })

                # Send webhook if configured
                if job.get('webhook_url'):
                    webhook_manager = WebhookManager()
                    api_base_url = os.getenv('API_BASE_URL', 'http://localhost:8000')

                    await webhook_manager.send_job_completed_webhook(
                        webhook_url=job['webhook_url'],
                        job_id=job_id,
                        status='completed',
                        reviews_count=result['count'],
                        scrape_time=result['time'],
                        reviews_url=f"{api_base_url}/jobs/{job_id}/reviews",
                        secret=job.get('webhook_secret'),
                        db=db
                    )

            else:
                # Job failed - save logs for debugging
                await db.update_job_status(
                    job_id,
                    JobStatus.FAILED,
                    error_message=result.get('error', 'Unknown error'),
                    scrape_logs=result.get('logs')
                )

                log.error(f"Failed job {job_id}: {result.get('error')}")

                # Broadcast job failed via SSE
                await broadcast_job_update(job_id_str, "job_failed", {
                    "job_id": job_id_str,
                    "status": "failed",
                    "error_message": result.get('error'),
                    "logs": result.get('logs', [])
                })

                # Send failure webhook if configured
                if job.get('webhook_url'):
                    webhook_manager = WebhookManager()
                    await webhook_manager.send_job_completed_webhook(
                        webhook_url=job['webhook_url'],
                        job_id=job_id,
                        status='failed',
                        error_message=result.get('error'),
                        secret=job.get('webhook_secret'),
                        db=db
                    )

        except Exception as e:
            log.error(f"Error in scraping job {job_id}: {e}")
            import traceback
            traceback.print_exc()

            await db.update_job_status(
                job_id,
                JobStatus.FAILED,
                error_message=str(e)
            )

            # Broadcast job failed via SSE
            await broadcast_job_update(job_id_str, "job_failed", {
                "job_id": job_id_str,
                "status": "failed",
                "error_message": str(e),
                "logs": []
            })

            # Send failure webhook
            job = await db.get_job(job_id)
            if job and job.get('webhook_url'):
                webhook_manager = WebhookManager()
                await webhook_manager.send_job_completed_webhook(
                    webhook_url=job['webhook_url'],
                    job_id=job_id,
                    status='failed',
                    error_message=str(e),
                    secret=job.get('webhook_secret'),
                    db=db
                )


if __name__ == "__main__":
    import uvicorn

    port = int(os.getenv('PORT', 8000))

    log.info(f"Starting production server on port {port}...")
    uvicorn.run(
        "api_server_production:app",
        host="0.0.0.0",
        port=port,
        reload=False,  # Disable reload in production
        log_level="info"
    )