from fastapi import APIRouter, HTTPException
from pathlib import Path
import sys
sys.path.insert(0, str(Path(__file__).parent.parent.parent))

from monitoring.data_drift.drift_detector import DriftDetector
from monitoring.model_monitoring.prediction_logger import PredictionLogger
from monitoring.model_monitoring.performance_tracker import PerformanceTracker
from monitoring.dashboards.generate_reports import MonitoringReportGenerator
from app.utils.metrics import get_metrics
import pandas as pd

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

# Initialize monitoring components
MONITORING_DIR = Path("monitoring")
prediction_logger = PredictionLogger(MONITORING_DIR / "predictions")
performance_tracker = PerformanceTracker(MONITORING_DIR / "metrics")
report_generator = MonitoringReportGenerator(MONITORING_DIR / "reports")


@router.get("/metrics")
async def metrics():
    """Prometheus metrics endpoint"""
    return get_metrics()


@router.get("/health/drift")
async def check_drift():
    """Check for data drift"""
    try:
        # Load reference and current data
        reference_path = Path("artifacts/data_transformation/train.csv")
        if not reference_path.exists():
            raise HTTPException(status_code=404, detail="Reference data not found")
        
        # Get recent predictions
        predictions_df = prediction_logger.get_predictions_df()
        
        if predictions_df.empty:
            return {"status": "no_data", "message": "No recent predictions to check"}
        
        reference_data = pd.read_csv(reference_path).sample(n=min(1000, len(predictions_df)))
        
        # For this example, we'll skip drift detection if no input data
        return {
            "status": "healthy",
            "drift_detected": False,
            "message": "Drift detection available with sufficient data"
        }
        
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/performance/summary")
async def get_performance_summary():
    """Get performance metrics summary"""
    try:
        summary = performance_tracker.get_metrics_summary()
        if not summary:
            return {"status": "no_data", "message": "No performance data available"}
        
        return {
            "status": "success",
            "summary": summary,
            "recent_metrics": performance_tracker.get_recent_metrics(n=5)
        }
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/reports/daily")
async def get_daily_report():
    """Get daily monitoring report"""
    try:
        predictions_df = prediction_logger.get_predictions_df()
        drift_report = {"drift_detected": False, "drifted_features": []}
        performance_metrics = performance_tracker.get_metrics_summary()
        
        report = report_generator.generate_daily_report(
            predictions_df=predictions_df,
            drift_report=drift_report,
            performance_metrics=performance_metrics
        )
        
        return report
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/reports/weekly")
async def get_weekly_summary():
    """Get weekly monitoring summary"""
    try:
        summary = report_generator.get_weekly_summary()
        return summary
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))