"""
Lab Notebook Manager Agent

Manages electronic lab notebooks for research documentation,
experiment tracking, and reproducible research practices.
"""

from typing import Any, Dict, List
from agents.base import BaseAgent


class LabNotebookManagerAgent(BaseAgent):
    """
    Electronic lab notebook management agent.

    Capabilities:
    - Experiment documentation and tracking
    - Protocol recording and versioning
    - Data entry and organization
    - Collaboration and sharing
    - Search and retrieval
    - Audit trail maintenance
    - Compliance with research standards
    """

    def __init__(self):
        super().__init__(
            name='lab-notebook-manager',
            description='Manage electronic lab notebooks',
            category='research',
            version='1.0.0',
            tags=['lab-notebook', 'documentation', 'research', 'reproducibility', 'tracking']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Manage lab notebook entries.

        Args:
            params: {
                'action': 'create_entry|search|organize|export|audit',
                'project_id': str,
                'entry_type': 'experiment|observation|analysis|meeting|protocol',
                'entry_data': Dict,
                'tags': List[str],
                'collaborators': List[str],
                'options': {
                    'version_control': bool,
                    'auto_backup': bool,
                    'timestamp': bool,
                    'digital_signature': bool
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'notebook_id': str,
                'entry_details': Dict,
                'audit_trail': List[Dict],
                'recommendations': List[str]
            }
        """
        action = params.get('action', 'create_entry')
        project_id = params.get('project_id')
        entry_type = params.get('entry_type', 'experiment')

        self.logger.info(
            f"Managing lab notebook - action: {action}, type: {entry_type}"
        )

        entry_details = {
            'entry_id': 'EXP-2025-11-16-001',
            'project': project_id,
            'type': entry_type,
            'title': 'Pilot Study - AI Learning Tool Testing',
            'date': '2025-11-16',
            'researcher': 'Dr. Smith',
            'objective': 'Test AI learning tool with 30 pilot participants',
            'materials': ['AI platform access', 'Survey instruments', 'Informed consent forms'],
            'procedure': 'Detailed step-by-step protocol...',
            'observations': 'Participants engaged well, some technical issues noted',
            'data_collected': '30 complete responses, 2 partial',
            'results_summary': 'Preliminary positive effects observed',
            'next_steps': 'Refine protocol, schedule main study',
            'attachments': ['pilot_data.csv', 'protocol_v1.pdf', 'participant_feedback.txt'],
            'tags': ['pilot', 'AI-learning', 'educational-technology'],
            'version': '1.0',
            'last_modified': '2025-11-16T15:30:00Z'
        }

        audit_trail = [
            {
                'timestamp': '2025-11-16T10:00:00Z',
                'action': 'Entry created',
                'user': 'Dr. Smith',
                'changes': 'Initial entry'
            },
            {
                'timestamp': '2025-11-16T15:30:00Z',
                'action': 'Entry updated',
                'user': 'Dr. Smith',
                'changes': 'Added observations and results'
            }
        ]

        return {
            'status': 'success',
            'notebook_id': 'NB-20251116-001',
            'project_id': project_id,
            'entry_details': entry_details,
            'audit_trail': audit_trail,
            'notebook_stats': {
                'total_entries': 47,
                'experiments': 32,
                'analyses': 10,
                'meetings': 5,
                'last_entry': '2025-11-16'
            },
            'compliance': {
                'timestamp_verified': True,
                'digital_signature': True,
                'backup_status': 'Current',
                'audit_trail_complete': True
            },
            'recommendations': [
                'Regular backups maintained',
                'Ensure all protocols are versioned',
                'Tag entries consistently',
                'Cross-reference related experiments',
                'Archive completed projects annually'
            ]
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate lab notebook parameters."""
        valid_actions = ['create_entry', 'search', 'organize', 'export', 'audit']
        action = params.get('action', 'create_entry')
        if action not in valid_actions:
            self.logger.error(f"Invalid action: {action}")
            return False
        return True
