I found runpy standard library most convenient. Why? You have to consider case when error raised in test1.py script, and with runpy you are able to handle this in service.py code. Both traceback text (to write error in log file for future investigation) and error object (to handle error depends on its type): when with subprocess library I wasn't able to promote error object from test1.py to service.py, only traceback output.
Also, comparing to "import test1.py as a module" solution, runpy is better cause you have no need to wrap code of test1.py into def main(): function.
Piece of code as example, with traceback module to catch last error text:
import traceback
import runpy #https://www.tutorialspoint.com/locating-and-executing-python-modules-runpy
from datetime import datetime
try:
runpy.run_path("./E4P_PPP_2.py")
except Exception as e:
print("Error occurred during execution at " + str(datetime.now().date()) + " {}".format(datetime.now().time()))
print(traceback.format_exc())
print(e)