bitcoin_monitor/monitor/views.py

from django.shortcuts import render
from django.http import JsonResponse
from .models import BitcoinPrice
from datetime import datetime, timezone
import requests




def fetch_bitcoin_price(request):
    """Fetch current Bitcoin price from CoinGecko API and save it."""
    try:
        # Simple API call to CoinGecko
        response = requests.get(
            'https://api.coingecko.com/api/v3/simple/price',
            params={'ids': 'bitcoin', 'vs_currencies': 'usd'}
        )
        data = response.json()
        
        if 'bitcoin' in data:
            price = data['bitcoin']['usd']
            
            # Save to database
            BitcoinPrice.objects.create(
                price_usd=price,
                timestamp=datetime.now(timezone.utc)
            )
            analyzer = MarketAnalyzer()
            analyzer.analyze_market('hourly')   
            return JsonResponse({
                'success': True,
                'price': price,
                'message': f'Price saved: ${price}'
            })
        else:
            return JsonResponse({
                'success': False,
                'message': 'Failed to fetch price'
            })
            
    except Exception as e:
        return JsonResponse({
            'success': False,
            'message': f'Error: {str(e)}'
        })

from monitor.services.analyzer import MarketAnalyzer
from monitor.models import MarketAnalysis  # Add this import


# Add new view functions
def run_analysis(request):
    """Run market analysis."""
    analyzer = MarketAnalyzer(threshold_percent=15.0)
    
    # Run analysis for different periods
    analyses = []
    for period in ['hourly', 'daily', 'yearly']:
        analysis = analyzer.analyze_market(period)
        if analysis:
            analyses.append(analysis)
    
    context = {
        'analyses': analyses,
        'message': f'Ran {len(analyses)} analyses successfully',
    }
    
    return render(request, 'monitor/analysis_result.html', context)


def view_analysis(request):
    """View latest market analysis."""
    analyzer = MarketAnalyzer(threshold_percent=15.0)
    
    # Get latest analyses
    hourly = analyzer.get_latest_analysis('hourly')
    daily = analyzer.get_latest_analysis('daily')
    yearly = analyzer.get_latest_analysis('yearly')
    
    # Get analysis summary
    summary = analyzer.get_analysis_summary()
    
    # Get all analyses for the table
    all_analyses = MarketAnalysis.objects.all().order_by('-timestamp')[:20]
    
    context = {
        'hourly_analysis': hourly,
        'daily_analysis': daily,
        'yearly_analysis': yearly,
        'summary': summary,
        'all_analyses': all_analyses,
    }
    
    return render(request, 'monitor/view_analysis.html', context)


# Update bitcoin_data view to include analysis
def bitcoin_data(request):
    """Display Bitcoin data from database."""
    # Get latest 10 prices
    latest_prices = BitcoinPrice.objects.all()[:10]
    
    # Calculate basic stats if we have data
    if latest_prices:
        latest_price = latest_prices[0]
        stats = {
            'latest_price': latest_price.price_usd,
            'latest_time': latest_price.timestamp,
            'total_records': BitcoinPrice.objects.count(),
        }
        
        # Get latest hourly analysis
        analyzer = MarketAnalyzer()
        hourly_analysis = analyzer.get_latest_analysis('hourly')
    else:
        stats = {
            'latest_price': 'No data',
            'latest_time': 'No data',
            'total_records': 0,
        }
        hourly_analysis = None
    
    return render(request, 'monitor/bitcoin_data.html', {
        'prices': latest_prices,
        'stats': stats,
        'analysis': hourly_analysis,  # Add analysis to context
    })
# Add these imports at the top


# Add new view functions
def run_analysis(request):
    """Run market analysis."""
    analyzer = MarketAnalyzer(threshold_percent=15.0)
    
    # Run analysis for different periods
    analyses = []
    for period in ['hourly', 'daily', 'yearly']:
        analysis = analyzer.analyze_market(period)
        if analysis:
            analyses.append(analysis)
    
    context = {
        'analyses': analyses,
        'message': f'Ran {len(analyses)} analyses successfully',
    }
    
    return render(request, 'monitor/analysis_result.html', context)


def view_analysis(request):
    """View latest market analysis."""
    analyzer = MarketAnalyzer(threshold_percent=15.0)
    
    # Get latest analyses
    hourly = analyzer.get_latest_analysis('hourly')
    daily = analyzer.get_latest_analysis('daily')
    yearly = analyzer.get_latest_analysis('yearly')
    
    # Get analysis summary
    summary = analyzer.get_analysis_summary()
    
    # Get all analyses for the table
    all_analyses = MarketAnalysis.objects.all().order_by('-timestamp')[:20]
    
    context = {
        'hourly_analysis': hourly,
        'daily_analysis': daily,
        'yearly_analysis': yearly,
        'summary': summary,
        'all_analyses': all_analyses,
    }
    
    return render(request, 'monitor/view_analysis.html', context)


# Update bitcoin_data view to include analysis
def bitcoin_data(request):
    """Display Bitcoin data from database."""
    # Get latest 10 prices
    latest_prices = BitcoinPrice.objects.all()[:10]
    
    # Calculate basic stats if we have data
    if latest_prices:
        latest_price = latest_prices[0]
        stats = {
            'latest_price': latest_price.price_usd,
            'latest_time': latest_price.timestamp,
            'total_records': BitcoinPrice.objects.count(),
        }
        
        # Get latest hourly analysis
        analyzer = MarketAnalyzer()
        hourly_analysis = analyzer.get_latest_analysis('hourly')
    else:
        stats = {
            'latest_price': 'No data',
            'latest_time': 'No data',
            'total_records': 0,
        }
        hourly_analysis = None
    
    return render(request, 'monitor/bitcoin_data.html', {
        'prices': latest_prices,
        'stats': stats,
        'analysis': hourly_analysis,  # Add analysis to context
    })