input: Write a python function to load a profile from a given path and return the number of frames in the timeseries.
  assert load_profile_and_count_frames("path/to/foam_ball_short.dsa") == 230
  assert load_profile_and_count_frames("path/to/another_profile.dsa") == 100
  assert load_profile_and_count_frames("path/to/nonexistent.dsa") == 0
output: def load_profile_and_count_frames(path):
      import os
  
      if not os.path.exists(path):
          return 0
  
      try:
          with open(path, 'r') as file:
              profile = file.readlines()
              # Assuming the timeseries data starts after a header line
              timeseries_data = profile[1:]
              return len(timeseries_data)
      except Exception:
          return 0