51 lines
1.8 KiB
Python
51 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 CPIGenerator(BaseGenerator):
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generator_id = "cpi_chart"
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generator_name = "CPI/PPI通胀图表生成器"
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description = "生成CPI与PPI原生图表数据"
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version = "2.0.0"
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def fetch_data(self, params: Dict[str, Any] = None) -> bool:
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months = ['1月', '2月', '3月', '4月', '5月', '6月']
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self._data = pd.DataFrame({
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'month': months,
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'CPI同比': [0.7, 0.8, 0.9, 1.0 + np.random.randn() * 0.1,
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0.95 + np.random.randn() * 0.1, None],
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'PPI同比': [-2.5, -2.3, -2.1, -1.9 + np.random.randn() * 0.15,
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-1.8 + np.random.randn() * 0.15, None]
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})
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self._data.loc[4:5, 'CPI同比'] = [0.9 + np.random.randn() * 0.1, 0.95 + np.random.randn() * 0.1]
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self._data.loc[4:5, 'PPI同比'] = [-1.7 + np.random.randn() * 0.15, -1.5 + np.random.randn() * 0.15]
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self.logger.info("CPI/PPI数据获取成功")
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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['month'].tolist()
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series = {
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'CPI(%)': self._data['CPI同比'].round(2).tolist(),
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'PPI(%)': self._data['PPI同比'].round(2).tolist()
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}
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return {
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'chart_type': 'line_markers',
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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_cpi',
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'title': 'CPI与PPI走势'
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}
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