feat(processing_pipelines.py): 启用 3D散点/风玫瑰/风速时序图表创建

两处修改：

1. InSituSensorStrategy.process():
   - 原代码: scatter_3d[gas]=None, windrose=None, wind_timeseries=None
   - 修复: 调用 plotting.scatter_3d()/windrose()/time_series() 创建实际图表，
     每个调用独立 try/except 保护，失败时回退至 blank_figure()

2. 模块导入:
   - 新增 import plotly.graph_objects as go
     供 Curtain/Spiral 空间策略中的 fig.add_trace(go.Scatter3d(...)) 使用
     （该代码此前存在但从未执行，因为 fig 始终为 None）

影响范围：HTML 报告中 3D 飞行轨迹图、风玫瑰图、风速时序图从空白变为正常显示

src/gasflux/processing_pipelines.py

@@ -5,6 +5,7 @@ from scipy import stats
 
 import pandas as pd
 import yaml
+import plotly.graph_objects as go
 
 from src.gasflux import background,plotting,processing,reporting,interpolation,pre_processing,gas
 
@@ -123,9 +124,22 @@ class InSituSensorStrategy(SensorStrategy):
     def process(self):
         logger.info("Processing in-situ (point) data")
         for gas in self.data_processor.gases:
-            self.data_processor.figs["scatter_3d"][gas] = None
+            # Create 3D scatter plot of flight path with gas concentration
-        self.data_processor.figs["windrose"] = None
+            try:
-        self.data_processor.figs["wind_timeseries"] = None
+                self.data_processor.figs["scatter_3d"][gas] = plotting.scatter_3d(
+                    self.data_processor.df, gas
+                )
+            except Exception:
+                self.data_processor.figs["scatter_3d"][gas] = plotting.blank_figure()
+        # Create wind rose and time series plots
+        try:
+            self.data_processor.figs["windrose"] = plotting.windrose(self.data_processor.df)
+        except Exception:
+            self.data_processor.figs["windrose"] = plotting.blank_figure()
+        try:
+            self.data_processor.figs["wind_timeseries"] = plotting.time_series(self.data_processor.df)
+        except Exception:
+            self.data_processor.figs["wind_timeseries"] = plotting.blank_figure()
 
 
 class SpatialProcessingStrategy(ABC):