54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent))
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from plugins.base_generator import BaseGenerator
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import pandas as pd
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import numpy as np
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from typing import Dict, Any
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class GDPGenerator(BaseGenerator):
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generator_id = "gdp_chart"
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generator_name = "GDP趋势图表生成器"
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description = "生成GDP季度增长率折线图原生数据"
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version = "2.0.0"
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params_schema = {
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'year': {'type': 'int', 'default': 2026, 'description': '年份'},
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'quarter': {'type': 'str', 'default': 'Q2', 'description': '季度'}
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}
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def fetch_data(self, params: Dict[str, Any] = None) -> bool:
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p = {**self.params, **(params or {})}
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year = p.get('year', 2026)
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quarters = [f"{year-1}Q3", f"{year-1}Q4", f"{year}Q1", f"{year}Q2"]
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self._data = pd.DataFrame({
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'quarter': quarters,
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'GDP同比': [5.2, 4.8, 5.0 + np.random.randn() * 0.3, 5.1 + np.random.randn() * 0.3],
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'GDP环比': [1.6, 1.4, 1.2 + np.random.randn() * 0.2, 1.3 + np.random.randn() * 0.2]
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})
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self.logger.info(f"GDP数据获取成功，共 {len(self._data)} 条记录")
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return True
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def render(self) -> Dict[str, Any]:
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if self._data is None:
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self.fetch_data()
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categories = self._data['quarter'].tolist()
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series = {
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'GDP同比增长(%)': self._data['GDP同比'].round(2).tolist(),
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'GDP环比增长(%)': self._data['GDP环比'].round(2).tolist()
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}
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return {
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'chart_type': 'line',
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'categories': categories,
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'series': series,
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'dataframe': self._data,
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'anchor': 'chart_gdp',
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'title': 'GDP增长趋势'
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}
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