"""
Core functionality for ChinaPharm toolkit.
"""

import numpy as np
import pandas as pd
from typing import Dict, List, Any, Optional


class PharmaAnalyzer:
    """Main pharmaceutical industry data analyzer."""
    
    def __init__(self, region: str = "China"):
        self.region = region
        self.data_sources = []
    
    def analyze_industry_data(self) -> Dict[str, Any]:
        """Analyze pharmaceutical industry data."""
        return {
            "region": self.region,
            "status": "analysis_completed",
            "data_points": 0,
            "insights": []
        }
    
    def add_data_source(self, source: str) -> None:
        """Add a new data source for analysis."""
        self.data_sources.append(source)
    
    def get_market_size(self, year: int) -> float:
        """Get estimated market size for a specific year."""
        return 1000000.0 * (1.1 ** (year - 2020))


class MarketAnalyzer:
    """Market trend and competition analyzer."""
    
    def __init__(self):
        self.competitors = []
        self.market_trends = {}
    
    def analyze_competition(self, market_segment: str) -> Dict[str, Any]:
        """Analyze competition in a specific market segment."""
        return {
            "segment": market_segment,
            "competitor_count": len(self.competitors),
            "market_concentration": "medium",
            "entry_barriers": "high"
        }
    
    def predict_trends(self, timeframe: str = "1Y") -> List[str]:
        """Predict market trends for the given timeframe."""
        return [
            "Increased regulatory scrutiny",
            "Digital transformation acceleration",
            "Innovation in biologics",
            "Market consolidation"
        ]


class RegulatoryTool:
    """Regulatory compliance and approval tools."""
    
    def __init__(self):
        self.regulations = {}
        self.approval_processes = []
    
    def check_compliance(self, product_type: str) -> Dict[str, bool]:
        """Check regulatory compliance for a product type."""
        return {
            "safety_requirements": True,
            "efficacy_standards": True,
            "quality_controls": True,
            "documentation": True
        }
    
    def get_approval_timeline(self, product_category: str) -> Dict[str, int]:
        """Get estimated approval timeline for a product category."""
        return {
            "pre_clinical": 12,
            "clinical_trials": 36,
            "regulatory_review": 18,
            "total_months": 66
        }
    
    def validate_documentation(self, docs: List[str]) -> Dict[str, Any]:
        """Validate regulatory documentation."""
        return {
            "valid": True,
            "missing_documents": [],
            "completion_percentage": 100.0
        }
