feat(export): Add TCX support for Codoon activities without GPS data (#1000)

Codoon records for indoor activities contain valuable heart rate data but lack GPS track points.
This commit enables exporting these activities specifically to the TCX format. TCX is chosen because it is designed to handle fitness data that may not include a GPS track, making it the ideal format for this use case.

Author: jiaweixiao

run_page/codoon_sync.py

@@ -42,6 +42,15 @@
         "formats": ["i", "S4", "S32", "S32", "S8"],
     }
 )
+FitTypeHRT = np.dtype(
+    {
+        "names": [
+            "time",
+            "bpm",
+        ],  # unix timestamp, heart bpm
+        "formats": ["i", "S4"],
+    }
+)
 
 # device info
 user_agent = "CodoonSport(8.9.0 1170;Android 7;Sony XZ1)"
@@ -192,14 +201,14 @@ def tcx_output(fit_array, run_data):
         # HeartRateBpm
         # None was converted to bytes by np.dtype, becoming a string "None" after decode...-_-
         # as well as LatitudeDegrees and LongitudeDegrees below
-        if not bytes.decode(i["bpm"]) == "None":
+        if "bpm" in i and not bytes.decode(i["bpm"]) == "None":
             bpm = ET.Element("HeartRateBpm")
             bpm_value = ET.Element("Value")
             bpm.append(bpm_value)
             bpm_value.text = bytes.decode(i["bpm"])
             tp.append(bpm)
         # Position
-        if not bytes.decode(i["lati"]) == "None":
+        if "lati" in i and not bytes.decode(i["lati"]) == "None":
             position = ET.Element("Position")
             tp.append(position)
             #   LatitudeDegrees
@@ -278,13 +287,26 @@ def tcx_job(run_data):
             hr = fit_hrs.get(unix_time, None)
 
             fit_list.append((unix_time, hr, latitude, longitude, elevation))
-
-    if fit_list:
+    elif fit_hrs:
+        # only heart rates
+        print("No track points, only heart rates " + str(run_data["id"]))
+        for unix_time, hr in fit_hrs.items():
+            fit_list.append((unix_time, hr))
+
+    if len(own_points) > 0 and fit_list:
+        # track points
         fit_array = np.array(fit_list, dtype=FitType)
         # order array
         fit_array = np.sort(fit_array, order="time")
         # write to TCX file
         tcx_output(fit_array, run_data)
+    elif len(own_points) == 0 and fit_hrs and fit_list:
+        # only heart rate
+        fit_array = np.array(fit_list, dtype=FitTypeHRT)
+        # order array
+        fit_array = np.sort(fit_array, order="time")
+        # write to TCX file
+        tcx_output(fit_array, run_data)
     else:
         print("No data in " + str(run_data["id"]))