import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))

from plugins.base_generator import BaseGenerator
import pandas as pd
import numpy as np
from typing import Dict, Any

class GDPGenerator(BaseGenerator):
    generator_id = "gdp_chart"
    generator_name = "GDP趋势图表生成器"
    description = "生成GDP季度增长率折线图原生数据"
    version = "2.0.0"
    
    params_schema = {
        'year': {'type': 'int', 'default': 2026, 'description': '年份'},
        'quarter': {'type': 'str', 'default': 'Q2', 'description': '季度'}
    }
    
    def fetch_data(self, params: Dict[str, Any] = None) -> bool:
        p = {**self.params, **(params or {})}
        year = p.get('year', 2026)
        
        quarters = [f"{year-1}Q3", f"{year-1}Q4", f"{year}Q1", f"{year}Q2"]
        
        self._data = pd.DataFrame({
            'quarter': quarters,
            'GDP同比': [5.2, 4.8, 5.0 + np.random.randn() * 0.3, 5.1 + np.random.randn() * 0.3],
            'GDP环比': [1.6, 1.4, 1.2 + np.random.randn() * 0.2, 1.3 + np.random.randn() * 0.2]
        })
        
        self.logger.info(f"GDP数据获取成功，共 {len(self._data)} 条记录")
        return True
    
    def render(self) -> Dict[str, Any]:
        if self._data is None:
            self.fetch_data()
        
        categories = self._data['quarter'].tolist()
        series = {
            'GDP同比增长(%)': self._data['GDP同比'].round(2).tolist(),
            'GDP环比增长(%)': self._data['GDP环比'].round(2).tolist()
        }
        
        return {
            'chart_type': 'line',
            'categories': categories,
            'series': series,
            'dataframe': self._data,
            'anchor': 'chart_gdp',
            'title': 'GDP增长趋势'
        }