V2.0 五大核心增强: 锚点定位/原生图表/插件架构/WebSocket/LLM智能

ppt_manager_v2/plugins/generators/cpi_generator.py

@@ -0,0 +1,50 @@
+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 CPIGenerator(BaseGenerator):
+    generator_id = "cpi_chart"
+    generator_name = "CPI/PPI通胀图表生成器"
+    description = "生成CPI与PPI原生图表数据"
+    version = "2.0.0"
+    
+    def fetch_data(self, params: Dict[str, Any] = None) -> bool:
+        months = ['1月', '2月', '3月', '4月', '5月', '6月']
+        
+        self._data = pd.DataFrame({
+            'month': months,
+            'CPI同比': [0.7, 0.8, 0.9, 1.0 + np.random.randn() * 0.1, 
+                         0.95 + np.random.randn() * 0.1, None],
+            'PPI同比': [-2.5, -2.3, -2.1, -1.9 + np.random.randn() * 0.15,
+                         -1.8 + np.random.randn() * 0.15, None]
+        })
+        
+        self._data.loc[4:5, 'CPI同比'] = [0.9 + np.random.randn() * 0.1, 0.95 + np.random.randn() * 0.1]
+        self._data.loc[4:5, 'PPI同比'] = [-1.7 + np.random.randn() * 0.15, -1.5 + np.random.randn() * 0.15]
+        
+        self.logger.info("CPI/PPI数据获取成功")
+        return True
+    
+    def render(self) -> Dict[str, Any]:
+        if self._data is None:
+            self.fetch_data()
+        
+        categories = self._data['month'].tolist()
+        series = {
+            'CPI(%)': self._data['CPI同比'].round(2).tolist(),
+            'PPI(%)': self._data['PPI同比'].round(2).tolist()
+        }
+        
+        return {
+            'chart_type': 'line_markers',
+            'categories': categories,
+            'series': series,
+            'dataframe': self._data,
+            'anchor': 'chart_cpi',
+            'title': 'CPI与PPI走势'
+        }