boc/landvex-admin-backend/app/routers/live_data.py

"""
LIFE Live Data API
Exponerar realtidsdata från multi-source pipeline
"""
from fastapi import APIRouter
import sqlite3
from datetime import datetime, timedelta

router = APIRouter(prefix="/live", tags=["live_data"])

DB_PATH = "/home/bernt/.openclaw/workspace/rivp-pilot-1/rivp.db"

def get_db():
    conn = sqlite3.connect(DB_PATH)
    conn.row_factory = sqlite3.Row
    return conn

@router.get("/public/status")
async def get_live_status():
    """Get current system status"""
    conn = get_db()
    c = conn.cursor()
    
    # Total counts
    c.execute("SELECT COUNT(*) FROM roads")
    total_roads = c.fetchone()[0]
    
    c.execute("SELECT COUNT(*) FROM observations")
    total_obs = c.fetchone()[0]
    
    # Today's observations
    c.execute("SELECT COUNT(*) FROM observations WHERE detected_date = date('now')")
    today_obs = c.fetchone()[0]
    
    # By source
    c.execute("SELECT source, COUNT(*) as count FROM observations GROUP BY source ORDER BY count DESC")
    sources = {row[0]: row[1] for row in c.fetchall()}
    
    # Recent activity (last hour)
    c.execute("""
        SELECT COUNT(*) FROM observations 
        WHERE datetime(created_at) > datetime('now', '-1 hour')
    """)
    last_hour = c.fetchone()[0]
    
    # Reality Latency calculation
    c.execute("""
        SELECT AVG(
            julianday('now') - julianday(detected_date)
        ) * 24 as avg_latency_hours
        FROM observations
        WHERE detected_date >= date('now', '-7 days')
    """)
    avg_latency = c.fetchone()[0] or 0
    
    conn.close()
    
    return {
        "timestamp": datetime.now().isoformat(),
        "system_status": "operational",
        "data_freshness": {
            "total_roads": total_roads,
            "total_observations": total_obs,
            "observations_today": today_obs,
            "observations_last_hour": last_hour,
            "reality_latency_hours": round(avg_latency, 1)
        },
        "sources": sources,
        "pipeline_status": {
            "trafikverket": "active",
            "smhi": "active",
            "quixzoom": "active",
            "satellite": "active"
        }
    }

@router.get("/public/observations/stream")
async def get_observation_stream(limit: int = 50):
    """Get recent observations as a stream"""
    conn = get_db()
    c = conn.cursor()
    
    c.execute("""
        SELECT o.*, r.name as road_name, r.county, r.road_number
        FROM observations o
        JOIN roads r ON o.road_id = r.id
        ORDER BY o.created_at DESC
        LIMIT ?
    """, (limit,))
    
    observations = [dict(row) for row in c.fetchall()]
    conn.close()
    
    return {
        "count": len(observations),
        "observations": observations
    }

@router.get("/public/alerts")
async def get_active_alerts():
    """Get active alerts (critical/high severity)"""
    conn = get_db()
    c = conn.cursor()
    
    c.execute("""
        SELECT o.*, r.name as road_name, r.county
        FROM observations o
        JOIN roads r ON o.road_id = r.id
        WHERE o.severity IN ('critical', 'high')
        AND o.detected_date >= date('now', '-7 days')
        ORDER BY 
            CASE o.severity 
                WHEN 'critical' THEN 1 
                WHEN 'high' THEN 2 
                ELSE 3 
            END,
            o.detected_date DESC
    """)
    
    alerts = [dict(row) for row in c.fetchall()]
    conn.close()
    
    return {
        "alert_count": len(alerts),
        "critical_count": sum(1 for a in alerts if a.get('severity') == 'critical'),
        "high_count": sum(1 for a in alerts if a.get('severity') == 'high'),
        "alerts": alerts
    }

@router.get("/public/coverage")
async def get_coverage_map():
    """Get coverage data for map visualization"""
    conn = get_db()
    c = conn.cursor()
    
    # Get all observations with coordinates
    c.execute("""
        SELECT o.latitude, o.longitude, o.observation_type, o.severity, o.confidence,
               r.name as road_name, r.county
        FROM observations o
        JOIN roads r ON o.road_id = r.id
        WHERE o.latitude != 0 AND o.longitude != 0
        ORDER BY o.detected_date DESC
        LIMIT 500
    """)
    
    points = []
    for row in c.fetchall():
        points.append({
            "lat": row[0],
            "lon": row[1],
            "type": row[2],
            "severity": row[3],
            "confidence": row[4],
            "road": row[5],
            "county": row[6]
        })
    
    # Coverage by county
    c.execute("""
        SELECT r.county, 
               COUNT(DISTINCT r.id) as roads,
               COUNT(o.id) as observations,
               AVG(o.confidence) as avg_confidence
        FROM roads r
        LEFT JOIN observations o ON r.id = o.road_id
        GROUP BY r.county
        ORDER BY observations DESC
    """)
    
    coverage = []
    for row in c.fetchall():
        coverage.append({
            "county": row[0],
            "roads": row[1],
            "observations": row[2],
            "avg_confidence": round(row[3] or 0, 2)
        })
    
    conn.close()
    
    return {
        "total_points": len(points),
        "points": points,
        "coverage_by_county": coverage
    }