quality_app-v2/app/modules/quality/quality.py

"""
Quality Module Business Logic
Handles database operations and business logic for the quality module
"""
from app.database import get_db
from flask import flash
import logging

logger = logging.getLogger(__name__)


def ensure_scanfg_orders_table():
    """Ensure the scanfg_orders table exists with proper schema"""
    try:
        db = get_db()
        cursor = db.cursor()
        
        cursor.execute("""
            CREATE TABLE IF NOT EXISTS scanfg_orders (
                Id INT AUTO_INCREMENT PRIMARY KEY,
                operator_code VARCHAR(4) NOT NULL,
                CP_full_code VARCHAR(15) NOT NULL,
                OC1_code VARCHAR(4) NOT NULL,
                OC2_code VARCHAR(4) NOT NULL,
                quality_code TINYINT(3) NOT NULL,
                date DATE NOT NULL,
                time TIME NOT NULL,
                approved_quantity INT DEFAULT 0,
                rejected_quantity INT DEFAULT 0,
                created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
                INDEX idx_cp (CP_full_code),
                INDEX idx_date (date),
                INDEX idx_operator (operator_code),
                UNIQUE KEY unique_cp_date (CP_full_code, date)
            ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci
        """)
        
        db.commit()
        logger.info("Table 'scanfg_orders' ready")
        return True
    except Exception as e:
        logger.error(f"Error ensuring scanfg_orders table: {e}")
        raise


def save_fg_scan(operator_code, cp_code, oc1_code, oc2_code, defect_code, date, time):
    """
    Save a finish goods scan to the database
    
    Args:
        operator_code: Operator code (e.g., OP0001)
        cp_code: CP full code (e.g., CP00002042-0001)
        oc1_code: OC1 code (e.g., OC0001)
        oc2_code: OC2 code (e.g., OC0002)
        defect_code: Quality code / defect code (e.g., 000 for approved)
        date: Scan date
        time: Scan time
    
    Returns:
        tuple: (success: bool, approved_count: int, rejected_count: int)
    """
    try:
        from datetime import datetime
        
        db = get_db()
        cursor = db.cursor()
        
        # Default to current date/time if not provided
        if not date:
            date = datetime.now().strftime('%Y-%m-%d')
        if not time:
            time = datetime.now().strftime('%H:%M:%S')

        # Insert a new entry - each scan is a separate record
        insert_query = """
            INSERT INTO scanfg_orders (operator_code, CP_full_code, OC1_code, OC2_code, quality_code, date, time)
            VALUES (%s, %s, %s, %s, %s, %s, %s)
        """
        cursor.execute(insert_query, (operator_code, cp_code, oc1_code, oc2_code, defect_code, date, time))
        db.commit()
        
        # Get the quantities from the table for feedback
        cursor.execute("""
            SELECT COUNT(*) as total_scans, 
                   SUM(CASE WHEN quality_code = '000' THEN 1 ELSE 0 END) as approved_count,
                   SUM(CASE WHEN quality_code != '000' THEN 1 ELSE 0 END) as rejected_count
            FROM scanfg_orders 
            WHERE CP_full_code = %s
        """, (cp_code,))
        result = cursor.fetchone()
        approved_count = result[1] if result and result[1] else 0
        rejected_count = result[2] if result and result[2] else 0
        
        logger.info(f"Scan saved successfully: {cp_code} by {operator_code}")
        return True, approved_count, rejected_count
        
    except Exception as e:
        logger.error(f"Error saving finish goods scan data: {e}")
        raise


def get_latest_scans(limit=25):
    """
    Fetch the latest scan records from the database
    
    Args:
        limit: Maximum number of scans to fetch (default: 25)
    
    Returns:
        list: List of scan dictionaries with calculated approved/rejected counts
    """
    scan_groups = []
    try:
        db = get_db()
        cursor = db.cursor()
        
        # Get all scans ordered by date/time descending
        cursor.execute("""
            SELECT Id, operator_code, CP_full_code as cp_code, OC1_code as oc1_code, OC2_code as oc2_code, 
                   quality_code as defect_code, date, time, created_at
            FROM scanfg_orders
            ORDER BY created_at DESC, Id DESC
            LIMIT %s
        """, (limit,))
        
        results = cursor.fetchall()
        
        if results:
            # Convert result tuples to dictionaries for template access
            columns = ['id', 'operator_code', 'cp_code', 'oc1_code', 'oc2_code', 'defect_code', 'date', 'time', 'created_at']
            scan_groups = [dict(zip(columns, row)) for row in results]
            
            # Now calculate approved and rejected counts for each CP code
            for scan in scan_groups:
                cp_code = scan['cp_code']
                cursor.execute("""
                    SELECT 
                        SUM(CASE WHEN quality_code = 0 OR quality_code = '000' THEN 1 ELSE 0 END) as approved_qty,
                        SUM(CASE WHEN quality_code != 0 AND quality_code != '000' THEN 1 ELSE 0 END) as rejected_qty
                    FROM scanfg_orders
                    WHERE CP_full_code = %s
                """, (cp_code,))
                
                count_result = cursor.fetchone()
                scan['approved_qty'] = count_result[0] if count_result[0] else 0
                scan['rejected_qty'] = count_result[1] if count_result[1] else 0
            
            logger.info(f"Fetched {len(scan_groups)} scan records for display")
        else:
            logger.info("No scan records found in database")
            
    except Exception as e:
        logger.error(f"Error fetching finish goods scan data: {e}")
        raise
    
    return scan_groups

# Report Generation Functions

def get_fg_report(report_type, filter_date=None, start_date=None, end_date=None):
    """
    Generate FG scan reports based on report type and filters
    
    Args:
        report_type: Type of report ('daily', 'select-day', 'date-range', '5-day', 
                                      'defects-today', 'defects-date', 'defects-range', 
                                      'defects-5day', 'all')
        filter_date: Specific date filter (YYYY-MM-DD format)
        start_date: Start date for range (YYYY-MM-DD format)
        end_date: End date for range (YYYY-MM-DD format)
    
    Returns:
        dict: {
            'success': bool,
            'title': str,
            'data': list of dicts,
            'summary': {'approved_count': int, 'rejected_count': int}
        }
    """
    try:
        db = get_db()
        cursor = db.cursor()
        
        # Build query based on report type
        query = """
            SELECT Id as id, operator_code, CP_full_code as cp_code, OC1_code as oc1_code, 
                   OC2_code as oc2_code, quality_code as defect_code, date, time, created_at
            FROM scanfg_orders
        """
        params = []
        title = "FG Scan Report"
        is_defects_only = False
        
        # Build WHERE clause based on report type
        if report_type == 'daily':
            title = "Today's FG Scans Report"
            query += " WHERE DATE(date) = CURDATE()"
            
        elif report_type == 'select-day':
            title = f"FG Scans Report for {filter_date}"
            query += " WHERE DATE(date) = %s"
            params.append(filter_date)
            
        elif report_type == 'date-range':
            title = f"FG Scans Report ({start_date} to {end_date})"
            query += " WHERE DATE(date) >= %s AND DATE(date) <= %s"
            params.extend([start_date, end_date])
            
        elif report_type == '5-day':
            title = "Last 5 Days FG Scans Report"
            query += " WHERE DATE(date) >= DATE_SUB(CURDATE(), INTERVAL 4 DAY)"
            
        elif report_type == 'defects-today':
            title = "Today's FG Defects Report"
            query += " WHERE DATE(date) = CURDATE() AND quality_code != '000' AND quality_code != 0"
            is_defects_only = True
            
        elif report_type == 'defects-date':
            title = f"FG Defects Report for {filter_date}"
            query += " WHERE DATE(date) = %s AND quality_code != '000' AND quality_code != 0"
            params.append(filter_date)
            is_defects_only = True
            
        elif report_type == 'defects-range':
            title = f"FG Defects Report ({start_date} to {end_date})"
            query += " WHERE DATE(date) >= %s AND DATE(date) <= %s AND quality_code != '000' AND quality_code != 0"
            params.extend([start_date, end_date])
            is_defects_only = True
            
        elif report_type == 'defects-5day':
            title = "Last 5 Days FG Defects Report"
            query += " WHERE DATE(date) >= DATE_SUB(CURDATE(), INTERVAL 4 DAY) AND quality_code != '000' AND quality_code != 0"
            is_defects_only = True
            
        elif report_type == 'all':
            title = "Complete FG Scans Database Report"
            # No additional WHERE clause
        
        # Add ORDER BY
        query += " ORDER BY date DESC, time DESC"
        
        # Execute query
        cursor.execute(query, params)
        results = cursor.fetchall()
        
        # Convert to list of dicts and convert datetime objects to strings
        columns = ['id', 'operator_code', 'cp_code', 'oc1_code', 'oc2_code', 'defect_code', 'date', 'time', 'created_at']
        data = []
        for row in results:
            row_dict = dict(zip(columns, row))
            # Convert date/time/datetime objects to strings for JSON serialization
            for key in ['date', 'time', 'created_at']:
                if row_dict[key] is not None:
                    row_dict[key] = str(row_dict[key])
            data.append(row_dict)
        
        # Calculate summary statistics
        approved_count = sum(1 for row in data if row['defect_code'] == 0 or row['defect_code'] == '0' or str(row['defect_code']) == '000')
        rejected_count = len(data) - approved_count
        
        logger.info(f"Generated {report_type} report: {len(data)} records")
        
        return {
            'success': True,
            'title': title,
            'data': data,
            'summary': {
                'approved_count': approved_count,
                'rejected_count': rejected_count
            }
        }
        
    except Exception as e:
        logger.error(f"Error generating FG report ({report_type}): {e}")
        return {
            'success': False,
            'message': f"Error generating report: {str(e)}",
            'data': [],
            'summary': {'approved_count': 0, 'rejected_count': 0}
        }


def get_daily_statistics():
    """
    Get today's statistics for dashboard/summary
    
    Returns:
        dict: {'total': int, 'approved': int, 'rejected': int}
    """
    try:
        db = get_db()
        cursor = db.cursor()
        
        cursor.execute("""
            SELECT COUNT(*) as total,
                   SUM(CASE WHEN quality_code = '000' OR quality_code = 0 THEN 1 ELSE 0 END) as approved,
                   SUM(CASE WHEN quality_code != '000' AND quality_code != 0 THEN 1 ELSE 0 END) as rejected
            FROM scanfg_orders
            WHERE DATE(date) = CURDATE()
        """)
        
        result = cursor.fetchone()
        if result:
            return {
                'total': result[0] or 0,
                'approved': result[1] or 0,
                'rejected': result[2] or 0
            }
        return {'total': 0, 'approved': 0, 'rejected': 0}
        
    except Exception as e:
        logger.error(f"Error getting daily statistics: {e}")
        return {'total': 0, 'approved': 0, 'rejected': 0}


def get_cp_statistics(cp_code):
    """
    Get statistics for a specific CP code
    
    Args:
        cp_code: The CP code to get statistics for
    
    Returns:
        dict: {'total': int, 'approved': int, 'rejected': int}
    """
    try:
        db = get_db()
        cursor = db.cursor()
        
        cursor.execute("""
            SELECT COUNT(*) as total,
                   SUM(CASE WHEN quality_code = '000' OR quality_code = 0 THEN 1 ELSE 0 END) as approved,
                   SUM(CASE WHEN quality_code != '000' AND quality_code != 0 THEN 1 ELSE 0 END) as rejected
            FROM scanfg_orders
            WHERE CP_full_code = %s
        """, (cp_code,))
        
        result = cursor.fetchone()
        if result:
            return {
                'total': result[0] or 0,
                'approved': result[1] or 0,
                'rejected': result[2] or 0
            }
        return {'total': 0, 'approved': 0, 'rejected': 0}
        
    except Exception as e:
        logger.error(f"Error getting CP statistics for {cp_code}: {e}")
        return {'total': 0, 'approved': 0, 'rejected': 0}