mirror of
https://github.com/LTTLabsOSS/markbench-tests.git
synced 2026-01-10 06:28:05 -05:00
197 lines
6.6 KiB
Python
197 lines
6.6 KiB
Python
"""Grid Legends test script"""
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from argparse import ArgumentParser
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import logging
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import os
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from pathlib import Path
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import re
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import time
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import pydirectinput as user
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import sys
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sys.path.insert(1, os.path.join(sys.path[0], '..'))
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#pylint: disable=wrong-import-position
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from harness_utils.output import (
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setup_log_directory,
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write_report_json,
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format_resolution,
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seconds_to_milliseconds,
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DEFAULT_LOGGING_FORMAT,
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DEFAULT_DATE_FORMAT)
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from harness_utils.process import terminate_processes
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from harness_utils.keras_service import KerasService
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from harness_utils.steam import exec_steam_game, get_build_id
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from harness_utils.artifacts import ArtifactManager, ArtifactType
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SCRIPT_DIR = Path(__file__).resolve().parent
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LOG_DIR = SCRIPT_DIR.joinpath("run")
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PROCESS_NAME = "gridlegends.exe"
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STEAM_GAME_ID = 1307710
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username = os.getlogin()
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CONFIG_PATH = f"C:\\Users\\{username}\\Documents\\My Games\\GRID Legends\\hardwaresettings"
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CONFIG_FILENAME = "hardware_settings_config.xml"
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CONFIG_FULL_PATH = f"{CONFIG_PATH}\\{CONFIG_FILENAME}"
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user.FAILSAFE = False
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def get_resolution() -> tuple[int]:
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"""Gets resolution width and height from local xml file created by game."""
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resolution = re.compile(r"<resolution width=\"(\d+)\" height=\"(\d+)\"")
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height = 0
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width = 0
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with open(CONFIG_FULL_PATH, encoding="utf-8") as file:
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lines = file.readlines()
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for line in lines:
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height_match = resolution.search(line)
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width_match = resolution.search(line)
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if height_match is not None:
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height = height_match.group(2)
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if width_match is not None:
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width = width_match.group(1)
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return (height, width)
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def get_args() -> any:
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"""Returns command line arg values"""
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parser = ArgumentParser()
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parser.add_argument("--kerasHost", dest="keras_host",
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help="Host for Keras OCR service", required=True)
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parser.add_argument("--kerasPort", dest="keras_port",
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help="Port for Keras OCR service", required=True)
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return parser.parse_args()
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def setup_logging():
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"""default logging config"""
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setup_log_directory(LOG_DIR)
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logging.basicConfig(filename=f'{LOG_DIR}/harness.log',
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format=DEFAULT_LOGGING_FORMAT,
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datefmt=DEFAULT_DATE_FORMAT,
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level=logging.DEBUG)
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console = logging.StreamHandler()
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formatter = logging.Formatter(DEFAULT_LOGGING_FORMAT)
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console.setFormatter(formatter)
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logging.getLogger('').addHandler(console)
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def start_game():
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"""Launch the game"""
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return exec_steam_game(STEAM_GAME_ID)
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def run_benchmark(keras_service):
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"""Run Grid Legends benchmark"""
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setup_start_time = int(time.time())
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start_game()
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am = ArtifactManager(LOG_DIR)
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time.sleep(20) # wait for game to load to the start screen
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if keras_service.wait_for_word(word="press", timeout=80, interval=1) is None:
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logging.error("Game didn't load to start screen. Did the game load?")
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sys.exit(1)
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logging.info('Game started. Entering main menu')
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time.sleep(2)
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user.press("enter")
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time.sleep(2)
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# waiting about a minute for the main menu to appear
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if keras_service.wait_for_word(word="home", timeout=80, interval=1) is None:
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logging.error("Game didn't load to main menu. Check settings and try again.")
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sys.exit(1)
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logging.info('Starting benchmark')
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user.press("f3")
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time.sleep(0.2)
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user.press("right")
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time.sleep(0.2)
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user.press("right")
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time.sleep(0.2)
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user.press("enter")
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time.sleep(0.2)
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if keras_service.wait_for_word(word="basic", timeout=30, interval=0.1) is None:
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logging.error("Didn't basic video options. Did the menu navigate correctly?")
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sys.exit(1)
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am.take_screenshot("basic.png", ArtifactType.CONFIG_IMAGE, "picture of basic settings")
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user.press("f3")
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time.sleep(0.2)
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if keras_service.wait_for_word(word="benchmark", timeout=30, interval=0.1) is None:
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logging.error("Didn't reach advanced video options. Did the menu navigate correctly?")
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sys.exit(1)
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am.take_screenshot("advanced_1.png", ArtifactType.CONFIG_IMAGE, "first picture of advanced settings")
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user.press("up")
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time.sleep(0.2)
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if keras_service.wait_for_word(word="shading", timeout=30, interval=0.1) is None:
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logging.error("Didn't reach bottom of advanced video settings. Did the menu navigate correctly?")
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sys.exit(1)
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am.take_screenshot("advanced_2.png", ArtifactType.CONFIG_IMAGE, "second picture of advanced settings")
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user.press("down")
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time.sleep(0.2)
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user.press("enter")
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time.sleep(0.2)
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setup_end_time = int(time.time())
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elapsed_setup_time = round(setup_end_time - setup_start_time, 2)
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logging.info("Harness setup took %f seconds", elapsed_setup_time)
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if keras_service.wait_for_word(word="manzi", timeout=30, interval=0.1) is None:
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logging.error("Didn't see Valentino Manzi. Did the benchmark load?")
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sys.exit(1)
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test_start_time = int(time.time())
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time.sleep(136)
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# TODO -> Mark benchmark start time using video OCR by looking for a players name
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if keras_service.wait_for_word(word="results", timeout=30, interval=0.1) is None:
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logging.error("Didn't see results screen for the bnechmark. Could not mark start time! Did the benchmark crash?")
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sys.exit(1)
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test_end_time = int(time.time()) - 2
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time.sleep(2)
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am.take_screenshot("results.png", ArtifactType.RESULTS_IMAGE, "benchmark results")
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am.copy_file(Path(CONFIG_FULL_PATH), ArtifactType.CONFIG_TEXT, "game config")
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logging.info("Run completed. Closing game.")
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time.sleep(2)
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am.create_manifest()
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return test_start_time, test_end_time
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def main():
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"""entry point"""
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args = get_args()
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keras_service = KerasService(args.keras_host, args.keras_port)
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start_time, end_time = run_benchmark(keras_service)
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elapsed_test_time = round((end_time - start_time), 2)
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logging.info("Benchmark took %f seconds", elapsed_test_time)
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terminate_processes(PROCESS_NAME)
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height, width = get_resolution()
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report = {
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"resolution": format_resolution(width, height),
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"start_time": seconds_to_milliseconds(start_time),
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"end_time": seconds_to_milliseconds(end_time),
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"version": get_build_id(STEAM_GAME_ID)
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}
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write_report_json(LOG_DIR, "report.json", report)
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if __name__ == "__main__":
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try:
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setup_logging()
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main()
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except Exception as ex:
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logging.error("Something went wrong running the benchmark!")
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logging.exception(ex)
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terminate_processes(PROCESS_NAME)
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sys.exit(1)
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