#!/usr/bin/env python3
"""
Application Flask pour le Dashboard Web RPA Vision V3

Fonctionnalités:
- Monitoring temps réel avec WebSocket
- Gestion des workflows
- Visualisation des sessions et screenshots
- Graphiques de performance
"""

import os
import sys
import json
import subprocess
import threading
import time
from pathlib import Path
from datetime import datetime
from flask import Flask, render_template, jsonify, request, send_file, Response
from flask_socketio import SocketIO, emit
from prometheus_client import generate_latest, CONTENT_TYPE_LATEST

# Ajouter le répertoire parent au path
sys.path.insert(0, str(Path(__file__).parent.parent))

from core.persistence import StorageManager
from core.models import RawSession
from core.monitoring import get_logger, api_logger
from core.monitoring.chain_manager import ChainManager
from core.monitoring.trigger_manager import TriggerManager
from core.monitoring.log_exporter import LogExporter
from core.monitoring.automation_scheduler import AutomationScheduler

app = Flask(__name__)
app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', 'dev-key-change-in-production')
socketio = SocketIO(app, cors_allowed_origins="*", async_mode='threading')


@app.get('/healthz')
def healthz():
    """Healthcheck minimal (systemd/k8s)."""
    return jsonify({
        'status': 'ok',
        'service': 'rpa-vision-v3-dashboard',
        'timestamp': datetime.now().isoformat(),
    })

# Chemins
BASE_PATH = Path(__file__).parent.parent
DATA_PATH = BASE_PATH / "data" / "training"
SESSIONS_PATH = DATA_PATH / "sessions"
WORKFLOWS_PATH = DATA_PATH / "workflows"
LOGS_PATH = BASE_PATH / "logs"

# StorageManager
storage = StorageManager(base_path=str(DATA_PATH))

# Monitoring managers
chain_manager = ChainManager(storage_path=DATA_PATH / "chains")
trigger_manager = TriggerManager(storage_path=DATA_PATH / "triggers")
log_exporter = LogExporter(logs_path=LOGS_PATH)

# Automation scheduler
automation_scheduler = AutomationScheduler(
    trigger_manager=trigger_manager,
    chain_manager=chain_manager,
    check_interval=1.0  # Vérifier toutes les secondes
)

# Démarrer le scheduler automatiquement
automation_scheduler.start()
api_logger.info("Automation scheduler started")

# État global pour le monitoring temps réel
execution_state = {
    "running": False,
    "workflow_id": None,
    "current_node": None,
    "steps_executed": 0,
    "last_confidence": 0.0,
    "mode": "idle",
    "history": []
}

# Métriques de performance
performance_metrics = {
    "faiss_searches": [],
    "embedding_times": [],
    "capture_times": [],
    "total_embeddings": 0,
    "cache_hits": 0,
    "cache_misses": 0
}


# =============================================================================
# Routes principales
# =============================================================================

@app.route('/')
def index():
    """Page d'accueil du dashboard."""
    return render_template('index.html')


# =============================================================================
# API Système
# =============================================================================

@app.route('/api/system/status')
def system_status():
    """Statut du système."""
    try:
        sessions_count = len(list(SESSIONS_PATH.glob('*'))) if SESSIONS_PATH.exists() else 0
        workflows_count = len(list(WORKFLOWS_PATH.glob('*.json'))) if WORKFLOWS_PATH.exists() else 0
        
        tests_path = BASE_PATH / "tests"
        unit_tests = len(list(tests_path.glob('unit/test_*.py'))) if tests_path.exists() else 0
        integration_tests = len(list(tests_path.glob('integration/test_*.py'))) if tests_path.exists() else 0
        
        dependencies_ok = True
        try:
            import torch
            import faiss
        except ImportError:
            dependencies_ok = False
        
        return jsonify({
            'status': 'online',
            'sessions_count': sessions_count,
            'workflows_count': workflows_count,
            'tests': {
                'total': unit_tests + integration_tests,
                'unit': unit_tests,
                'integration': integration_tests
            },
            'dependencies_ok': dependencies_ok,
            'execution': execution_state,
            'timestamp': datetime.now().isoformat()
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/system/performance')
def system_performance():
    """Métriques de performance."""
    try:
        # Essayer de récupérer les vraies stats
        faiss_stats = {}
        embedding_stats = {}
        
        try:
            from core.embedding.faiss_manager import FAISSManager
            fm = FAISSManager(dimensions=512)
            faiss_stats = fm.get_stats()
        except Exception:
            pass
        
        try:
            from core.embedding.embedding_cache import EmbeddingCache
            cache = EmbeddingCache()
            embedding_stats = cache.get_stats()
        except Exception:
            pass
        
        return jsonify({
            'faiss': faiss_stats,
            'embedding_cache': embedding_stats,
            'metrics': performance_metrics,
            'timestamp': datetime.now().isoformat()
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Sessions
# =============================================================================

@app.route('/api/agent/sessions')
def list_sessions():
    """Liste toutes les sessions agent."""
    try:
        sessions = []
        
        if not SESSIONS_PATH.exists():
            return jsonify({'sessions': [], 'total': 0})
        
        for session_dir in SESSIONS_PATH.iterdir():
            if not session_dir.is_dir():
                continue

            # Chercher les JSON dans plusieurs structures possibles
            # AVANT cleanup : sessions/sess_xxx/sess_xxx/*.json (un dossier par session)
            # APRÈS cleanup : sessions/2026-01-07/session_sess_xxx.json (plusieurs sessions par dossier date)
            json_files = list(session_dir.glob('*/*.json'))  # Structure avant cleanup
            if not json_files:
                json_files = list(session_dir.glob('*.json'))  # Structure après cleanup

            # Traiter CHAQUE fichier JSON trouvé
            for json_path in json_files:
                try:
                    session = RawSession.load_from_file(json_path)
                    session_id = session.session_id

                    # Calculer la taille (JSON + screenshots éventuels)
                    size_bytes = json_path.stat().st_size

                    # Compter les screenshots
                    # Structure AVANT cleanup : sessions/sess_xxx/sess_xxx/shots/*.png
                    screenshots_dir = session_dir / session_id / "shots"
                    screenshot_files = list(screenshots_dir.glob('*.png')) if screenshots_dir.exists() else []

                    # Ajouter la taille des screenshots à la taille totale
                    size_bytes += sum(f.stat().st_size for f in screenshot_files)
                    size_mb = round(size_bytes / (1024 * 1024), 2)

                    sessions.append({
                        'session_id': session.session_id,
                        'started_at': session.started_at.isoformat(),
                        'ended_at': session.ended_at.isoformat() if session.ended_at else None,
                        'events_count': len(session.events),
                        'screenshots_count': len(screenshot_files),
                        'user': session.user,
                        'context': session.context,
                        'size_mb': size_mb,
                        'path': str(json_path.parent)
                    })
                except Exception as e:
                    print(f"Erreur lecture session {json_path.name}: {e}")
                    continue
        
        sessions.sort(key=lambda x: x['started_at'], reverse=True)
        
        return jsonify({
            'sessions': sessions,
            'total': len(sessions)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/agent/sessions/<session_id>')
def get_session(session_id):
    """Détails d'une session."""
    try:
        session_dir = SESSIONS_PATH / session_id
        if not session_dir.exists():
            return jsonify({'error': 'Session non trouvée'}), 404
        
        json_files = list(session_dir.glob('*/*.json'))
        if not json_files:
            return jsonify({'error': 'Fichier JSON non trouvé'}), 404
        
        session = RawSession.load_from_file(json_files[0])
        
        # Lister les screenshots avec URLs
        # Structure : sessions/{session_id}/{session_id}/shots/*.png
        screenshots = []
        screenshots_dir = session_dir / session_id / "shots"
        if screenshots_dir.exists():
            for img_file in sorted(screenshots_dir.glob('*.png')):
                screenshots.append({
                    'filename': img_file.name,
                    'url': f'/api/agent/sessions/{session_id}/screenshot/{img_file.name}',
                    'size': img_file.stat().st_size
                })
        
        return jsonify({
            'session': {
                'session_id': session.session_id,
                'started_at': session.started_at.isoformat(),
                'ended_at': session.ended_at.isoformat() if session.ended_at else None,
                'user': session.user,
                'context': session.context,
                'environment': session.environment,
                'events': [
                    {
                        'type': e.type,
                        'timestamp': e.t if hasattr(e, 't') else 0,
                        'window': e.window,
                        'screenshot_id': e.screenshot_id
                    }
                    for e in session.events
                ]
            },
            'screenshots': screenshots,
            'screenshots_count': len(screenshots)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/agent/sessions/<session_id>/screenshot/<filename>')
def get_screenshot(session_id, filename):
    """Récupère un screenshot."""
    try:
        session_dir = SESSIONS_PATH / session_id

        # Essayer le chemin correct en premier : {session_id}/shots/
        screenshot_path = session_dir / session_id / "shots" / filename

        if not screenshot_path.exists():
            # Essayer l'ancien chemin pour compatibilité
            screenshot_path = session_dir / "screenshots" / filename

        if not screenshot_path.exists():
            # Essayer dans les sous-dossiers (fallback)
            for subdir in session_dir.iterdir():
                if subdir.is_dir():
                    # Essayer shots/
                    alt_path = subdir / "shots" / filename
                    if alt_path.exists():
                        screenshot_path = alt_path
                        break
                    # Essayer screenshots/
                    alt_path = subdir / "screenshots" / filename
                    if alt_path.exists():
                        screenshot_path = alt_path
                        break

        if not screenshot_path.exists():
            return jsonify({'error': 'Screenshot non trouvé ou supprimé après traitement'}), 404

        return send_file(screenshot_path, mimetype='image/png')
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/agent/sessions/<session_id>/process', methods=['POST'])
def process_session(session_id):
    """Lance le traitement d'une session."""
    try:
        session_dir = SESSIONS_PATH / session_id
        if not session_dir.exists():
            return jsonify({'error': 'Session non trouvée'}), 404
        
        from server.processing_pipeline import process_session_async
        
        def process_in_background():
            try:
                stats = process_session_async(session_id, str(DATA_PATH))
                socketio.emit('processing_complete', {
                    'session_id': session_id,
                    'stats': stats
                })
            except Exception as e:
                socketio.emit('processing_error', {
                    'session_id': session_id,
                    'error': str(e)
                })
        
        thread = threading.Thread(target=process_in_background, daemon=True)
        thread.start()
        
        return jsonify({'status': 'started', 'session_id': session_id})
    except Exception as e:
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Screen States
# =============================================================================

@app.route('/api/screen_states')
def list_screen_states():
    """Liste tous les screen states traités."""
    try:
        screen_states = []
        screen_states_path = DATA_PATH / "screen_states"

        if not screen_states_path.exists():
            return jsonify({'screen_states': [], 'total': 0})

        # Parcourir tous les fichiers JSON dans screen_states/
        for date_dir in screen_states_path.iterdir():
            if not date_dir.is_dir():
                continue

            for state_file in date_dir.glob('*.json'):
                try:
                    with open(state_file, 'r') as f:
                        state_data = json.load(f)

                    screen_states.append({
                        'screen_state_id': state_data.get('screen_state_id', state_file.stem),
                        'session_id': state_data.get('session_id', 'unknown'),
                        'timestamp': state_data.get('timestamp', ''),
                        'window': state_data.get('window', {}),
                        'tags': state_data.get('context', {}).get('tags', []),
                        'workflow_candidate': state_data.get('context', {}).get('current_workflow_candidate'),
                        'user_id': state_data.get('context', {}).get('user_id', 'unknown'),
                        'business_variables': state_data.get('context', {}).get('business_variables', {}),
                        'file_path': str(state_file),
                        'date': date_dir.name
                    })
                except Exception as e:
                    print(f"Erreur lecture screen state {state_file}: {e}")
                    continue

        # Trier par timestamp (plus récent en premier)
        screen_states.sort(key=lambda x: x['timestamp'], reverse=True)

        # Grouper par session
        sessions_grouped = {}
        for state in screen_states:
            session_id = state['session_id']
            if session_id not in sessions_grouped:
                sessions_grouped[session_id] = {
                    'session_id': session_id,
                    'screen_states': [],
                    'count': 0,
                    'first_timestamp': state['timestamp'],
                    'last_timestamp': state['timestamp'],
                    'tags': state['tags'],
                    'user_id': state['user_id']
                }
            sessions_grouped[session_id]['screen_states'].append(state)
            sessions_grouped[session_id]['count'] += 1
            # Mettre à jour last_timestamp (le plus récent étant en premier)
            if state['timestamp'] < sessions_grouped[session_id]['last_timestamp']:
                sessions_grouped[session_id]['last_timestamp'] = state['timestamp']

        return jsonify({
            'screen_states': screen_states,
            'total': len(screen_states),
            'sessions_grouped': list(sessions_grouped.values()),
            'sessions_count': len(sessions_grouped)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/screen_states/<session_id>')
def get_session_screen_states(session_id):
    """Récupère tous les screen states d'une session."""
    try:
        screen_states = []
        screen_states_path = DATA_PATH / "screen_states"

        if not screen_states_path.exists():
            return jsonify({'error': 'Screen states directory not found'}), 404

        # Parcourir tous les fichiers JSON dans screen_states/
        for date_dir in screen_states_path.iterdir():
            if not date_dir.is_dir():
                continue

            for state_file in date_dir.glob('*.json'):
                try:
                    with open(state_file, 'r') as f:
                        state_data = json.load(f)

                    if state_data.get('session_id') == session_id:
                        screen_states.append(state_data)
                except Exception as e:
                    continue

        # Trier par timestamp
        screen_states.sort(key=lambda x: x.get('timestamp', ''))

        return jsonify({
            'session_id': session_id,
            'screen_states': screen_states,
            'total': len(screen_states)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Workflows
# =============================================================================

@app.route('/api/workflows')
def list_workflows():
    """Liste tous les workflows."""
    try:
        workflows = []
        
        if not WORKFLOWS_PATH.exists():
            WORKFLOWS_PATH.mkdir(parents=True, exist_ok=True)
            return jsonify({'workflows': [], 'total': 0})
        
        for wf_file in WORKFLOWS_PATH.glob('*.json'):
            try:
                with open(wf_file, 'r') as f:
                    wf_data = json.load(f)
                
                workflows.append({
                    'workflow_id': wf_data.get('workflow_id', wf_file.stem),
                    'name': wf_data.get('name', wf_file.stem),
                    'description': wf_data.get('description', ''),
                    'nodes_count': len(wf_data.get('nodes', [])),
                    'edges_count': len(wf_data.get('edges', [])),
                    'learning_state': wf_data.get('learning_state', 'OBSERVATION'),
                    'created_at': wf_data.get('created_at', ''),
                    'updated_at': wf_data.get('updated_at', ''),
                    'execution_count': wf_data.get('execution_count', 0)
                })
            except Exception as e:
                print(f"Erreur lecture workflow {wf_file}: {e}")
        
        return jsonify({
            'workflows': workflows,
            'total': len(workflows)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/workflows/<workflow_id>')
def get_workflow(workflow_id):
    """Détails d'un workflow."""
    try:
        wf_file = WORKFLOWS_PATH / f"{workflow_id}.json"
        if not wf_file.exists():
            return jsonify({'error': 'Workflow non trouvé'}), 404
        
        with open(wf_file, 'r') as f:
            wf_data = json.load(f)
        
        return jsonify({'workflow': wf_data})
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/workflows/<workflow_id>/execute', methods=['POST'])
def execute_workflow(workflow_id):
    """Lance l'exécution d'un workflow."""
    global execution_state
    
    try:
        data = request.get_json() or {}
        mode = data.get('mode', 'supervised')
        
        wf_file = WORKFLOWS_PATH / f"{workflow_id}.json"
        if not wf_file.exists():
            return jsonify({'error': 'Workflow non trouvé'}), 404
        
        # Mettre à jour l'état
        execution_state = {
            "running": True,
            "workflow_id": workflow_id,
            "current_node": None,
            "steps_executed": 0,
            "last_confidence": 0.0,
            "mode": mode,
            "started_at": datetime.now().isoformat(),
            "history": []
        }
        
        # Notifier via WebSocket
        socketio.emit('execution_started', execution_state)
        
        # Lancer l'exécution en arrière-plan
        def run_workflow():
            global execution_state
            try:
                from core.pipeline.workflow_pipeline import WorkflowPipeline
                from core.execution.execution_loop import ExecutionLoop, ExecutionMode
                
                pipeline = WorkflowPipeline()
                loop = ExecutionLoop(pipeline)
                
                # Callback pour les mises à jour
                def on_step(step_result):
                    global execution_state
                    execution_state["current_node"] = step_result.node_id
                    execution_state["steps_executed"] += 1
                    execution_state["last_confidence"] = step_result.match_confidence
                    execution_state["history"].append({
                        "node_id": step_result.node_id,
                        "success": step_result.success,
                        "confidence": step_result.match_confidence,
                        "timestamp": datetime.now().isoformat()
                    })
                    socketio.emit('execution_step', execution_state)
                
                loop.on_step_complete(on_step)
                
                mode_map = {
                    'observation': ExecutionMode.OBSERVATION,
                    'coaching': ExecutionMode.COACHING,
                    'supervised': ExecutionMode.SUPERVISED,
                    'automatic': ExecutionMode.AUTOMATIC
                }
                
                loop.start(workflow_id, mode=mode_map.get(mode, ExecutionMode.SUPERVISED))
                
            except Exception as e:
                execution_state["running"] = False
                execution_state["error"] = str(e)
                socketio.emit('execution_error', execution_state)
        
        thread = threading.Thread(target=run_workflow, daemon=True)
        thread.start()
        
        return jsonify({'status': 'started', 'execution': execution_state})
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/workflows/<workflow_id>/stop', methods=['POST'])
def stop_workflow(workflow_id):
    """Arrête l'exécution d'un workflow."""
    global execution_state
    
    execution_state["running"] = False
    socketio.emit('execution_stopped', execution_state)
    
    return jsonify({'status': 'stopped'})


# =============================================================================
# API Tests
# =============================================================================

@app.route('/api/tests')
def list_tests():
    """Liste tous les tests disponibles."""
    try:
        tests = []
        tests_path = BASE_PATH / "tests"
        
        if not tests_path.exists():
            return jsonify({'tests': [], 'total': 0})
        
        for test_type in ['unit', 'integration', 'performance']:
            type_path = tests_path / test_type
            if type_path.exists():
                for test_file in type_path.glob('test_*.py'):
                    tests.append({
                        'name': test_file.stem,
                        'path': str(test_file.relative_to(BASE_PATH)),
                        'type': test_type
                    })
        
        return jsonify({
            'tests': tests,
            'total': len(tests)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/tests/run', methods=['POST'])
def run_test():
    """Lance un test spécifique."""
    try:
        data = request.get_json()
        test_path = data.get('test_path')
        
        if not test_path:
            return jsonify({'error': 'test_path requis'}), 400
        
        result = subprocess.run(
            ['pytest', test_path, '-v', '--tb=short'],
            cwd=BASE_PATH,
            capture_output=True,
            text=True,
            timeout=120
        )
        
        return jsonify({
            'success': result.returncode == 0,
            'stdout': result.stdout,
            'stderr': result.stderr,
            'returncode': result.returncode
        })
    except subprocess.TimeoutExpired:
        return jsonify({'error': 'Timeout (120s)'}), 408
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/tests/run-all', methods=['POST'])
def run_all_tests():
    """Lance tous les tests d'un type."""
    try:
        data = request.get_json()
        test_type = data.get('type', 'unit')
        
        tests_path = BASE_PATH / "tests" / test_type
        
        if not tests_path.exists():
            return jsonify({'error': f'Répertoire {test_type} non trouvé'}), 404
        
        result = subprocess.run(
            ['pytest', str(tests_path), '-v', '--tb=short'],
            cwd=BASE_PATH,
            capture_output=True,
            text=True,
            timeout=300
        )
        
        return jsonify({
            'success': result.returncode == 0,
            'stdout': result.stdout,
            'stderr': result.stderr,
            'returncode': result.returncode
        })
    except subprocess.TimeoutExpired:
        return jsonify({'error': 'Timeout (300s)'}), 408
    except Exception as e:
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Chains
# =============================================================================

@app.route('/api/chains')
def api_chains():
    """Liste toutes les chaînes de workflows."""
    try:
        chains = chain_manager.list_chains()
        return jsonify({
            'chains': [
                {
                    'chain_id': chain.chain_id,
                    'name': chain.name,
                    'workflows': chain.workflows,
                    'status': chain.status,
                    'created_at': chain.created_at.isoformat(),
                    'last_execution': chain.last_execution.isoformat() if chain.last_execution else None,
                    'success_rate': chain.success_rate
                }
                for chain in chains
            ],
            'total': len(chains)
        })
    except Exception as e:
        api_logger.error(f"Error listing chains: {e}")
        return jsonify({'error': str(e)}), 500


@app.route('/api/chains', methods=['POST'])
def create_chain():
    """Crée une nouvelle chaîne."""
    try:
        data = request.get_json()
        name = data.get('name')
        workflows = data.get('workflows', [])
        
        if not name or not workflows:
            return jsonify({'error': 'name and workflows required'}), 400
        
        chain = chain_manager.create_chain(name, workflows)
        api_logger.info(f"Created chain {chain.chain_id}")
        
        return jsonify({
            'chain': {
                'chain_id': chain.chain_id,
                'name': chain.name,
                'workflows': chain.workflows,
                'status': chain.status
            }
        }), 201
    except ValueError as e:
        return jsonify({'error': str(e)}), 400
    except Exception as e:
        api_logger.error(f"Error creating chain: {e}")
        return jsonify({'error': str(e)}), 500


@app.route('/api/chains/<chain_id>/execute', methods=['POST'])
def execute_chain_route(chain_id):
    """Lance l'exécution d'une chaîne."""
    try:
        def on_progress(workflow_id, current, total):
            socketio.emit('chain_progress', {
                'chain_id': chain_id,
                'workflow_id': workflow_id,
                'current': current,
                'total': total
            })
        
        result = chain_manager.execute_chain(chain_id, on_progress=on_progress)
        
        socketio.emit('chain_complete', {
            'chain_id': chain_id,
            'success': result.success,
            'duration': result.duration
        })
        
        return jsonify({
            'result': {
                'chain_id': result.chain_id,
                'success': result.success,
                'duration': result.duration,
                'workflows_executed': result.workflows_executed,
                'failed_at': result.failed_at,
                'error_message': result.error_message
            }
        })
    except ValueError as e:
        return jsonify({'error': str(e)}), 404
    except Exception as e:
        api_logger.error(f"Error executing chain {chain_id}: {e}")
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Triggers
# =============================================================================

@app.route('/api/triggers')
def api_triggers():
    """Liste tous les triggers."""
    try:
        triggers = trigger_manager.list_triggers()
        return jsonify({
            'triggers': [
                {
                    'trigger_id': trigger.trigger_id,
                    'trigger_type': trigger.trigger_type,
                    'workflow_id': trigger.workflow_id,
                    'config': trigger.config,
                    'enabled': trigger.enabled,
                    'created_at': trigger.created_at.isoformat(),
                    'last_fired': trigger.last_fired.isoformat() if trigger.last_fired else None,
                    'fire_count': trigger.fire_count
                }
                for trigger in triggers
            ],
            'total': len(triggers)
        })
    except Exception as e:
        api_logger.error(f"Error listing triggers: {e}")
        return jsonify({'error': str(e)}), 500


@app.route('/api/triggers', methods=['POST'])
def create_trigger():
    """Crée un nouveau trigger."""
    try:
        data = request.get_json()
        trigger_type = data.get('trigger_type')
        workflow_id = data.get('workflow_id')
        config = data.get('config', {})
        
        if not trigger_type or not workflow_id:
            return jsonify({'error': 'trigger_type and workflow_id required'}), 400
        
        trigger = trigger_manager.create_trigger(trigger_type, workflow_id, config)
        api_logger.info(f"Created trigger {trigger.trigger_id}")
        
        return jsonify({
            'trigger': {
                'trigger_id': trigger.trigger_id,
                'trigger_type': trigger.trigger_type,
                'workflow_id': trigger.workflow_id,
                'config': trigger.config,
                'enabled': trigger.enabled
            }
        }), 201
    except ValueError as e:
        return jsonify({'error': str(e)}), 400
    except Exception as e:
        api_logger.error(f"Error creating trigger: {e}")
        return jsonify({'error': str(e)}), 500


@app.route('/api/triggers/<trigger_id>/toggle', methods=['POST'])
def toggle_trigger(trigger_id):
    """Active/désactive un trigger."""
    try:
        trigger = trigger_manager.get_trigger(trigger_id)
        if not trigger:
            return jsonify({'error': 'Trigger not found'}), 404
        
        if trigger.enabled:
            trigger_manager.disable_trigger(trigger_id)
            api_logger.info(f"Disabled trigger {trigger_id}")
        else:
            trigger_manager.enable_trigger(trigger_id)
            api_logger.info(f"Enabled trigger {trigger_id}")
        
        trigger = trigger_manager.get_trigger(trigger_id)
        return jsonify({
            'trigger': {
                'trigger_id': trigger.trigger_id,
                'enabled': trigger.enabled
            }
        })
    except Exception as e:
        api_logger.error(f"Error toggling trigger {trigger_id}: {e}")
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Logs
# =============================================================================

@app.route('/api/logs')
def get_logs():
    """Récupère les logs récents."""
    try:
        logs = []
        
        if not LOGS_PATH.exists():
            return jsonify({'logs': [], 'total': 0})
        
        for log_file in LOGS_PATH.glob('*.log'):
            try:
                with open(log_file, 'r') as f:
                    lines = f.readlines()
                    for line in lines[-100:]:
                        logs.append({
                            'file': log_file.name,
                            'message': line.strip()
                        })
            except Exception as e:
                print(f"Erreur lecture log {log_file}: {e}")
        
        return jsonify({
            'logs': logs[-200:],
            'total': len(logs)
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500


@app.route('/api/logs/download')
def download_logs():
    """Télécharge les logs en format ZIP."""
    try:
        # Récupérer les paramètres de date optionnels
        start_time = request.args.get('start_time')
        end_time = request.args.get('end_time')
        
        start_dt = datetime.fromisoformat(start_time) if start_time else None
        end_dt = datetime.fromisoformat(end_time) if end_time else None
        
        # Générer le ZIP
        zip_file = log_exporter.export_to_zip(start_dt, end_dt)
        
        api_logger.info(f"Logs downloaded (start={start_time}, end={end_time})")
        
        return send_file(
            zip_file,
            mimetype='application/zip',
            as_attachment=True,
            download_name=f'rpa_logs_{datetime.now().strftime("%Y%m%d_%H%M%S")}.zip'
        )
    except Exception as e:
        api_logger.error(f"Error downloading logs: {e}")
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Automation
# =============================================================================

@app.route('/api/automation/status')
def automation_status():
    """Statut du scheduler d'automatisation."""
    try:
        status = automation_scheduler.get_status()
        return jsonify(status)
    except Exception as e:
        api_logger.error(f"Error getting automation status: {e}")
        return jsonify({'error': str(e)}), 500


@app.route('/api/automation/start', methods=['POST'])
def automation_start():
    """Démarre le scheduler."""
    try:
        automation_scheduler.start()
        return jsonify({'status': 'started'})
    except Exception as e:
        api_logger.error(f"Error starting automation: {e}")
        return jsonify({'error': str(e)}), 500


@app.route('/api/automation/stop', methods=['POST'])
def automation_stop():
    """Arrête le scheduler."""
    try:
        automation_scheduler.stop()
        return jsonify({'status': 'stopped'})
    except Exception as e:
        api_logger.error(f"Error stopping automation: {e}")
        return jsonify({'error': str(e)}), 500


# =============================================================================
# API Metrics (Prometheus)
# =============================================================================

@app.route('/metrics')
def prometheus_metrics():
    """Endpoint Prometheus pour les métriques."""
    try:
        return Response(generate_latest(), mimetype=CONTENT_TYPE_LATEST)
    except Exception as e:
        api_logger.error(f"Error generating metrics: {e}")
        return Response(f"# Error: {e}\n", mimetype='text/plain'), 500


# =============================================================================
# WebSocket Events
# =============================================================================

@socketio.on('connect')
def handle_connect():
    """Client connecté."""
    print(f"Client connecté: {request.sid}")
    emit('connected', {'status': 'ok', 'execution': execution_state})


@socketio.on('disconnect')
def handle_disconnect():
    """Client déconnecté."""
    print(f"Client déconnecté: {request.sid}")


@socketio.on('subscribe_execution')
def handle_subscribe():
    """S'abonner aux mises à jour d'exécution."""
    emit('execution_state', execution_state)


@socketio.on('get_performance')
def handle_get_performance():
    """Demande les métriques de performance."""
    emit('performance_update', performance_metrics)


# =============================================================================
# Background tasks
# =============================================================================

def broadcast_metrics():
    """Diffuse les métriques périodiquement."""
    while True:
        time.sleep(5)
        try:
            socketio.emit('metrics_update', {
                'execution': execution_state,
                'performance': performance_metrics,
                'timestamp': datetime.now().isoformat()
            })
        except Exception:
            pass


# Démarrer le thread de broadcast
metrics_thread = threading.Thread(target=broadcast_metrics, daemon=True)
metrics_thread.start()


# =============================================================================
# Main
# =============================================================================

if __name__ == '__main__':
    # Valider la sécurité en production (non-bloquant pour le dashboard)
    from core.security import get_security_config
    try:
        from core.security import validate_production_security
        config = get_security_config()
        validate_production_security(config)
        print("✅ Security validation passed")
    except Exception as e:
        print(f"⚠️ Security validation warning: {e}")
        print("Dashboard will start anyway (monitoring service)")
        # Ne pas arrêter le dashboard pour des problèmes de sécurité mineurs
    
    # Initialiser le système de cleanup
    try:
        from core.system import initialize_system_cleanup, shutdown_system
        initialize_system_cleanup()
    except ImportError:
        print("⚠️ System cleanup not available")
    
    print("=" * 50)
    print("RPA Vision V3 - Dashboard Web")
    print("=" * 50)
    print(f"Base path: {BASE_PATH}")
    print(f"Data path: {DATA_PATH}")
    print(f"Sessions path: {SESSIONS_PATH}")
    print(f"Workflows path: {WORKFLOWS_PATH}")
    print("")
    print("Démarrage sur http://0.0.0.0:5001")
    print("WebSocket activé")
    print("=" * 50)
    
    try:
        socketio.run(
            app,
            host='0.0.0.0',
            port=5001,
            debug=False,
            allow_unsafe_werkzeug=True
        )
    except KeyboardInterrupt:
        print("\nReceived keyboard interrupt, shutting down...")
        try:
            shutdown_system()
        except:
            pass
    except Exception as e:
        print(f"Dashboard error: {e}")
        try:
            shutdown_system()
        except:
            pass
        raise