add feature

main.py

@@ -15,6 +15,9 @@ a = 0.25
 n = 19
 val = (np.linspace((x_min**a), (x_max**a), n)) ** (1 / a)
 
+
+hours = 168
+
 # 生成颜色映射
 color_mapping = create_color_gradient_mapping(val)
 
@@ -48,7 +51,7 @@ def read_binary_file(file_path):
 
         while True:
             # print("index", index)
-            if index > 335:
+            if index > hours:
                 break
             time_bytes = file.read(8)
             time = struct.unpack("<d", time_bytes)[0]
@@ -113,7 +116,7 @@ def generate_river_czml(river_df, runoff_df, level=4, start_time=None):
             "name": "River Flow Visualization",
             "version": "1.0",
             "clock": {
-                "interval": f"{format_time(start_time)}/{format_time(start_time + timedelta(hours=335))}",
+                "interval": f"{format_time(start_time)}/{format_time(start_time + timedelta(hours=hours))}",
                 "currentTime": format_time(start_time),
                 "multiplier": 3600,  # 1小时/秒
                 "range": "LOOP_STOP",
@@ -126,13 +129,14 @@ def generate_river_czml(river_df, runoff_df, level=4, start_time=None):
 
     # 为每条河段创建一个entity
     for idx in river_df.index:
-        print(idx)
+        river_id = river_df.loc[idx, "Index"]
+        print("river_index", river_id)
         coords = mapping(river_df.loc[idx, "geometry"])["coordinates"]
         # new_coords = [coord for point in coords for coord in point]
         # print(new_coords)
         new_coords = []
         for coord in coords:
-            new_coords.extend([[x, y, 0] for x, y in coord])
+            new_coords.extend([[round(x, 5), round(y, 5), 0] for x, y in coord])
 
         # 获取该河段的所有时间点的径流数据
         river_runoff = runoff_df.iloc[:, idx - 1].values
@@ -144,13 +148,13 @@ def generate_river_czml(river_df, runoff_df, level=4, start_time=None):
         for hour, runoff in enumerate(river_runoff):
             time_offset = hour * 3600  # 转换为秒
             value = round(runoff / 86400, 3)
-            print("value", value)
+            # print("value", value)
             color = get_color_from_value1(abs(value), color_mapping)
             color_property["rgba"].extend([time_offset] + list(color))
 
         # 创建河段实体
         entity = {
-            "id": f"river_{idx}",
+            "id": f"{river_id}",
             "name": f"River Segment {idx}",
             "polyline": {
                 "positions": {
@@ -192,7 +196,7 @@ save_czml(czml_data, 'river_flow.czml')
 
 
 if __name__ == "__main__":
-    level = 1
+    level = 4
     # 读取文件
     river_df = read_shp("lz.in/1.geojson", level)
     runoff_df = read_binary_file("lz.out/lz.rivqdown.dat")

read_dat.py

@@ -54,7 +54,7 @@ def read_binary_file(file_path):
         #     print(f"Data: {data}")
         while True:
             # print("index", index)
-            if index > 335:
+            if index > 25:
                 break
             time_bytes = file.read(8)
             time = struct.unpack("<d", time_bytes)[0]