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import logging
import json
from datetime import datetime
from typing import List, Dict, Optional

class PatientHistoryManager:
    """Complete patient history and wound tracking system"""
    
    def __init__(self, database_manager):
        self.db = database_manager
    
    def get_patient_complete_history(self, user_id: int, patient_name: str = None) -> List[Dict]:
        """Get complete patient history with all wound analyses and images"""
        try:
            if patient_name:
                query = """

                SELECT 

                    qr.id as response_id,

                    p.name as patient_name,

                    p.age as patient_age,

                    p.gender as patient_gender,

                    qr.response_data,

                    qr.submitted_at as visit_date,

                    w.position as wound_location,

                    w.moisture,

                    w.infection,

                    w.notes,

                    wi.image as image_url,

                    a.analysis_data,

                    a.summary,

                    a.recommendations,

                    a.risk_score,

                    a.risk_level

                FROM questionnaire_responses qr

                JOIN patients p ON qr.patient_id = p.id

                LEFT JOIN wounds w ON w.patient_id = CAST(p.id AS CHAR)

                LEFT JOIN wound_images wi ON wi.patient_id = CAST(p.id AS CHAR)

                LEFT JOIN ai_analyses a ON a.questionnaire_id = qr.id

                WHERE qr.practitioner_id = %s AND p.name = %s

                ORDER BY qr.submitted_at DESC

                """
                params = (user_id, patient_name)
            else:
                query = """

                SELECT 

                    qr.id as response_id,

                    p.name as patient_name,

                    p.age as patient_age,

                    p.gender as patient_gender,

                    qr.response_data,

                    qr.submitted_at as visit_date,

                    w.position as wound_location,

                    w.moisture,

                    w.infection,

                    w.notes,

                    wi.image as image_url,

                    a.analysis_data,

                    a.summary,

                    a.recommendations,

                    a.risk_score,

                    a.risk_level

                FROM questionnaire_responses qr

                JOIN patients p ON qr.patient_id = p.id

                LEFT JOIN wounds w ON w.patient_id = CAST(p.id AS CHAR)

                LEFT JOIN wound_images wi ON wi.patient_id = CAST(p.id AS CHAR)

                LEFT JOIN ai_analyses a ON a.questionnaire_id = qr.id

                WHERE qr.practitioner_id = %s

                ORDER BY qr.submitted_at DESC

                """
                params = (user_id,)
            
            result = self.db.execute_query(query, params, fetch=True)
            return result or []
            
        except Exception as e:
            logging.error(f"Error fetching patient history: {e}")
            return []
    
    def get_patient_list(self, user_id: int) -> List[Dict]:
        """Get list of all patients for this practitioner"""
        try:
            query = """

            SELECT DISTINCT 

                p.name as patient_name,

                p.age as patient_age,

                p.gender as patient_gender,

                COUNT(qr.id) as total_visits,

                MAX(qr.submitted_at) as last_visit,

                MIN(qr.submitted_at) as first_visit

            FROM questionnaire_responses qr

            JOIN patients p ON qr.patient_id = p.id

            WHERE qr.practitioner_id = %s

            GROUP BY p.name, p.age, p.gender

            ORDER BY last_visit DESC

            """
            
            result = self.db.execute_query(query, (user_id,), fetch=True)
            return result or []
            
        except Exception as e:
            logging.error(f"Error fetching patient list: {e}")
            return []
    
    def get_wound_progression(self, user_id: int, patient_name: str) -> List[Dict]:
        """Get wound progression data for timeline visualization"""
        try:
            query = """

            SELECT 

                qr.submitted_at as visit_date,

                qr.response_data,

                w.position as wound_location,

                w.moisture,

                w.infection,

                a.risk_score,

                a.risk_level,

                a.summary,

                wi.image as image_url

            FROM questionnaire_responses qr

            JOIN patients p ON qr.patient_id = p.id

            LEFT JOIN wounds w ON w.patient_id = CAST(p.id AS CHAR)

            LEFT JOIN wound_images wi ON wi.patient_id = CAST(p.id AS CHAR)

            LEFT JOIN ai_analyses a ON a.questionnaire_id = qr.id

            WHERE qr.practitioner_id = %s AND p.name = %s

            ORDER BY qr.submitted_at ASC

            """
            
            result = self.db.execute_query(query, (user_id, patient_name), fetch=True)
            return result or []
            
        except Exception as e:
            logging.error(f"Error fetching wound progression: {e}")
            return []
    
    def save_patient_note(self, user_id: int, patient_name: str, note: str) -> bool:
        """Save a clinical note for a patient"""
        try:
            # Check if notes table exists, if not use questionnaires additional_notes
            query = """

            UPDATE questionnaires 

            SET additional_notes = CONCAT(IFNULL(additional_notes, ''), '\n--- Clinical Note (', NOW(), ') ---\n', %s)

            WHERE user_id = %s AND patient_name = %s 

            ORDER BY created_at DESC 

            LIMIT 1

            """
            
            result = self.db.execute_query(query, (note, user_id, patient_name))
            return bool(result)
            
        except Exception as e:
            logging.error(f"Error saving patient note: {e}")
            return False

class ReportGenerator:
    """Professional HTML report generator for wound analysis"""
    
    def __init__(self):
        pass
    
    def generate_analysis_report(self, patient_data: Dict, analysis_data: Dict, image_url: str = None) -> str:
        """Generate comprehensive HTML report for wound analysis"""
        
        report_html = f"""

        <!DOCTYPE html>

        <html lang="en">

        <head>

            <meta charset="UTF-8">

            <meta name="viewport" content="width=device-width, initial-scale=1.0">

            <title>SmartHeal AI - Wound Analysis Report</title>

            <style>

                body {{

                    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;

                    line-height: 1.6;

                    margin: 0;

                    padding: 20px;

                    background-color: #f8f9fa;

                }}

                .report-container {{

                    max-width: 800px;

                    margin: 0 auto;

                    background: white;

                    border-radius: 10px;

                    box-shadow: 0 4px 20px rgba(0,0,0,0.1);

                    overflow: hidden;

                }}

                .header {{

                    background: linear-gradient(135deg, #3182ce 0%, #2c5aa0 100%);

                    color: white;

                    padding: 30px;

                    text-align: center;

                }}

                .header h1 {{

                    margin: 0;

                    font-size: 28px;

                    font-weight: 600;

                }}

                .header p {{

                    margin: 10px 0 0 0;

                    opacity: 0.9;

                    font-size: 16px;

                }}

                .content {{

                    padding: 30px;

                }}

                .section {{

                    margin-bottom: 30px;

                    border-left: 4px solid #3182ce;

                    padding-left: 20px;

                }}

                .section h2 {{

                    color: #2c5aa0;

                    margin-top: 0;

                    font-size: 20px;

                    font-weight: 600;

                }}

                .patient-info {{

                    display: grid;

                    grid-template-columns: 1fr 1fr;

                    gap: 20px;

                    margin-bottom: 20px;

                }}

                .info-card {{

                    background: #f8f9fa;

                    padding: 15px;

                    border-radius: 8px;

                    border: 1px solid #e9ecef;

                }}

                .info-card h3 {{

                    margin: 0 0 10px 0;

                    color: #495057;

                    font-size: 14px;

                    font-weight: 600;

                    text-transform: uppercase;

                }}

                .info-card p {{

                    margin: 0;

                    font-weight: 500;

                    color: #212529;

                }}

                .risk-indicator {{

                    display: inline-block;

                    padding: 8px 16px;

                    border-radius: 20px;

                    font-weight: 600;

                    text-transform: uppercase;

                    font-size: 12px;

                    letter-spacing: 0.5px;

                }}

                .risk-low {{ background: #d4edda; color: #155724; }}

                .risk-moderate {{ background: #fff3cd; color: #856404; }}

                .risk-high {{ background: #f8d7da; color: #721c24; }}

                .recommendations {{

                    background: #e7f3ff;

                    border: 1px solid #b3d9ff;

                    border-radius: 8px;

                    padding: 20px;

                    margin-top: 15px;

                }}

                .recommendations ul {{

                    margin: 10px 0;

                    padding-left: 20px;

                }}

                .recommendations li {{

                    margin-bottom: 8px;

                    color: #0056b3;

                }}

                .image-section {{

                    text-align: center;

                    margin: 20px 0;

                }}

                .wound-image {{

                    max-width: 100%;

                    height: auto;

                    border-radius: 8px;

                    box-shadow: 0 4px 12px rgba(0,0,0,0.15);

                }}

                .footer {{

                    background: #f8f9fa;

                    padding: 20px 30px;

                    text-align: center;

                    color: #6c757d;

                    border-top: 1px solid #e9ecef;

                }}

                .connect-clinician {{

                    background: #28a745;

                    color: white;

                    padding: 12px 30px;

                    border: none;

                    border-radius: 25px;

                    font-weight: 600;

                    cursor: pointer;

                    margin: 20px 0;

                    font-size: 16px;

                }}

                .connect-clinician:hover {{

                    background: #218838;

                }}

                @media print {{

                    body {{ background: white; }}

                    .report-container {{ box-shadow: none; }}

                    .connect-clinician {{ display: none; }}

                }}

            </style>

        </head>

        <body>

            <div class="report-container">

                <div class="header">

                    <h1>🩺 SmartHeal AI Wound Analysis Report</h1>

                    <p>Advanced AI-Powered Clinical Assessment</p>

                </div>

                

                <div class="content">

                    <div class="section">

                        <h2>Patient Information</h2>

                        <div class="patient-info">

                            <div class="info-card">

                                <h3>Patient Name</h3>

                                <p>{patient_data.get('patient_name', 'N/A')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Age</h3>

                                <p>{patient_data.get('patient_age', 'N/A')} years</p>

                            </div>

                            <div class="info-card">

                                <h3>Gender</h3>

                                <p>{patient_data.get('patient_gender', 'N/A')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Assessment Date</h3>

                                <p>{datetime.now().strftime('%B %d, %Y at %I:%M %p')}</p>

                            </div>

                        </div>

                    </div>

                    

                    <div class="section">

                        <h2>Wound Assessment</h2>

                        <div class="patient-info">

                            <div class="info-card">

                                <h3>Location</h3>

                                <p>{patient_data.get('wound_location', 'N/A')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Duration</h3>

                                <p>{patient_data.get('wound_duration', 'N/A')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Pain Level</h3>

                                <p>{patient_data.get('pain_level', 'N/A')}/10</p>

                            </div>

                            <div class="info-card">

                                <h3>Risk Assessment</h3>

                                <p>

                                    <span class="risk-indicator risk-{analysis_data.get('risk_level', 'unknown').lower()}">

                                        {analysis_data.get('risk_level', 'Unknown')} Risk

                                    </span>

                                </p>

                            </div>

                        </div>

                    </div>

                    

                    {f'''

                    <div class="section">

                        <h2>Wound Image</h2>

                        <div class="image-section">

                            <img src="{image_url}" alt="Wound Image" class="wound-image">

                        </div>

                    </div>

                    ''' if image_url else ''}

                    

                    <div class="section">

                        <h2>AI Analysis Summary</h2>

                        <p>{analysis_data.get('summary', 'No analysis summary available.')}</p>

                        

                        <div class="recommendations">

                            <h3>🎯 Clinical Recommendations</h3>

                            {self._format_recommendations(analysis_data.get('recommendations', ''))}

                        </div>

                    </div>

                    

                    <div class="section">

                        <h2>Medical History</h2>

                        <div class="patient-info">

                            <div class="info-card">

                                <h3>Medical History</h3>

                                <p>{patient_data.get('medical_history', 'None reported')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Current Medications</h3>

                                <p>{patient_data.get('medications', 'None reported')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Known Allergies</h3>

                                <p>{patient_data.get('allergies', 'None reported')}</p>

                            </div>

                            <div class="info-card">

                                <h3>Additional Notes</h3>

                                <p>{patient_data.get('additional_notes', 'None')}</p>

                            </div>

                        </div>

                    </div>

                    

                    <div style="text-align: center;">

                        <button class="connect-clinician" onclick="connectToClinician()">

                            📞 Connect to Clinician

                        </button>

                    </div>

                </div>

                

                <div class="footer">

                    <p><strong>SmartHeal AI</strong> - Advanced Wound Care Analysis & Clinical Support System</p>

                    <p>Generated on {datetime.now().strftime('%B %d, %Y at %I:%M %p')} | For professional medical use only</p>

                    <p>⚠️ This AI analysis is for clinical decision support only. Always consult with healthcare professionals for diagnosis and treatment.</p>

                </div>

            </div>

            

            <script>

                function connectToClinician() {{

                    alert('🩺 Connecting to clinician...\n\nThis feature would connect you to a healthcare professional for consultation.\n\nIn a production environment, this would:\n• Initiate video call\n• Send analysis to specialist\n• Schedule consultation\n• Provide emergency contact');

                }}

            </script>

        </body>

        </html>

        """
        
        return report_html
    
    def _format_recommendations(self, recommendations: str) -> str:
        """Format recommendations as HTML list"""
        if not recommendations:
            return "<p>No specific recommendations available.</p>"
        
        # Split recommendations by common delimiters
        items = []
        for delimiter in ['\n', '. ', '; ']:
            if delimiter in recommendations:
                items = [item.strip() for item in recommendations.split(delimiter) if item.strip()]
                break
        
        if not items:
            items = [recommendations]
        
        html = "<ul>"
        for item in items:
            if item and len(item) > 3:  # Avoid very short fragments
                html += f"<li>{item}</li>"
        html += "</ul>"
        
        return html
    
    def generate_patient_history_report(self, patient_history: List[Dict]) -> str:
        """Generate comprehensive patient history report"""
        if not patient_history:
            return "<p>No patient history available.</p>"
        
        patient_name = patient_history[0].get('patient_name', 'Unknown Patient')
        
        html = f"""

        <div style="max-width: 800px; margin: 0 auto; font-family: 'Segoe UI', sans-serif;">

            <div style="background: linear-gradient(135deg, #3182ce 0%, #2c5aa0 100%); color: white; padding: 20px; border-radius: 10px 10px 0 0;">

                <h2 style="margin: 0;">📋 Patient History: {patient_name}</h2>

                <p style="margin: 10px 0 0 0; opacity: 0.9;">Complete Treatment Timeline</p>

            </div>

            <div style="background: white; border: 1px solid #e9ecef; border-top: none; border-radius: 0 0 10px 10px;">

        """
        
        for i, visit in enumerate(patient_history):
            visit_date = visit.get('visit_date', '')
            if isinstance(visit_date, str):
                try:
                    visit_date = datetime.fromisoformat(visit_date.replace('Z', '+00:00'))
                except:
                    pass
            
            risk_class = f"risk-{visit.get('risk_level', 'unknown').lower()}"
            
            html += f"""

            <div style="padding: 20px; border-bottom: 1px solid #f0f0f0;">

                <div style="display: flex; justify-content: between; align-items: center; margin-bottom: 15px;">

                    <h3 style="color: #2c5aa0; margin: 0;">Visit #{len(patient_history) - i}</h3>

                    <span style="color: #6c757d; font-size: 14px;">{visit_date.strftime('%B %d, %Y') if hasattr(visit_date, 'strftime') else str(visit_date)}</span>

                </div>

                

                <div style="display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 15px; margin-bottom: 15px;">

                    <div style="background: #f8f9fa; padding: 10px; border-radius: 5px;">

                        <strong>Location:</strong> {visit.get('wound_location', 'N/A')}

                    </div>

                    <div style="background: #f8f9fa; padding: 10px; border-radius: 5px;">

                        <strong>Pain Level:</strong> {visit.get('pain_level', 'N/A')}/10

                    </div>

                    <div style="background: #f8f9fa; padding: 10px; border-radius: 5px;">

                        <strong>Risk:</strong> 

                        <span class="risk-indicator {risk_class}" style="background: {'#d4edda' if 'low' in risk_class else '#fff3cd' if 'moderate' in risk_class else '#f8d7da'}; color: {'#155724' if 'low' in risk_class else '#856404' if 'moderate' in risk_class else '#721c24'}; padding: 2px 8px; border-radius: 10px; font-size: 12px;">

                            {visit.get('risk_level', 'Unknown')}

                        </span>

                    </div>

                </div>

                

                {f'<p><strong>Summary:</strong> {visit.get("summary", "No summary available")}</p>' if visit.get("summary") else ""}

                {f'<p><strong>Recommendations:</strong> {visit.get("recommendations", "No recommendations available")}</p>' if visit.get("recommendations") else ""}

            </div>

            """
        
        html += """

            </div>

        </div>

        """
        
        return html