Files
sci-gui-agent-benchmark/experiment_screenshot.py
2024-03-13 15:04:19 +08:00

564 lines
23 KiB
Python

import datetime
import json
import logging
import os
import sys
# import eventlet
import func_timeout
from func_timeout import FunctionTimedOut
from desktop_env.envs.desktop_env import DesktopEnv
from mm_agents.gpt_4v_agent import GPT4v_Agent
# eventlet.monkey_patch()
# from mm_agents.gemini_pro_agent import GeminiPro_Agent
# Logger Configs {{{ #
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
datetime_str: str = datetime.datetime.now().strftime("%Y%m%d@%H%M%S")
file_handler = logging.FileHandler(os.path.join("logs", "normal-{:}.log".format(datetime_str)), encoding="utf-8")
debug_handler = logging.FileHandler(os.path.join("logs", "debug-{:}.log".format(datetime_str)), encoding="utf-8")
stdout_handler = logging.StreamHandler(sys.stdout)
sdebug_handler = logging.FileHandler(os.path.join("logs", "sdebug-{:}.log".format(datetime_str)), encoding="utf-8")
file_handler.setLevel(logging.INFO)
debug_handler.setLevel(logging.DEBUG)
stdout_handler.setLevel(logging.INFO)
sdebug_handler.setLevel(logging.DEBUG)
formatter = logging.Formatter(
fmt="\x1b[1;33m[%(asctime)s \x1b[31m%(levelname)s \x1b[32m%(module)s/%(lineno)d-%(processName)s\x1b[1;33m] \x1b[0m%(message)s")
file_handler.setFormatter(formatter)
debug_handler.setFormatter(formatter)
stdout_handler.setFormatter(formatter)
sdebug_handler.setFormatter(formatter)
stdout_handler.addFilter(logging.Filter("desktopenv"))
sdebug_handler.addFilter(logging.Filter("desktopenv"))
logger.addHandler(file_handler)
logger.addHandler(debug_handler)
logger.addHandler(stdout_handler)
logger.addHandler(sdebug_handler)
# }}} Logger Configs #
logger = logging.getLogger("desktopenv.experiment")
PATH_TO_VM = r"C:\Users\tianbaox\Documents\Virtual Machines\Ubuntu\Ubuntu.vmx"
def run_one_example(example, agent, max_steps=10, example_trajectory_dir="exp_trajectory", recording=True,
max_time=600):
trajectory_recording_path = os.path.join(example_trajectory_dir, "trajectory.json")
env = DesktopEnv(
path_to_vm=PATH_TO_VM,
action_space=agent.action_space,
task_config=example,
headless=True
)
# reset the environment to certain snapshot
observation = env.reset()
done = False
step_num = 0
if recording:
# send a request to the server to start recording
env.controller.start_recording()
while not done and step_num < max_steps:
actions = agent.predict(observation)
step_num += 1
for action in actions:
# Capture the timestamp before executing the action
action_timestamp = datetime.datetime.now().strftime("%Y%m%d@%H%M%S")
logger.info("Step %d: %s", step_num, action)
observation, reward, done, info = env.step(action)
logger.info("Reward: %.2f", reward)
logger.info("Done: %s", done)
logger.info("Info: %s", info)
# Save screenshot and trajectory information
with open(os.path.join(example_trajectory_dir, f"step_{step_num}_{action_timestamp}.png"), "wb") as _f:
with open(observation['screenshot'], "rb") as __f:
screenshot = __f.read()
_f.write(screenshot)
with open(trajectory_recording_path, "a") as f:
f.write(json.dumps({
"step_num": step_num,
"action_timestamp": action_timestamp,
"action": action,
"reward": reward,
"done": done,
"info": info,
"screenshot_file": f"step_{step_num}_{action_timestamp}.png"
}))
f.write("\n")
if done:
logger.info("The episode is done.")
break
def stop_recording():
try:
env.controller.end_recording(os.path.join(example_trajectory_dir, "recording.mp4"))
except Exception as e:
print(f"An error occurred while stopping the recording: {e}")
try:
func_timeout.func_timeout(120, stop_recording)
except func_timeout.exceptions.FunctionTimedOut:
logger.info("Recording timed out.")
result = env.evaluate()
logger.info("Result: %.2f", result)
with open(trajectory_recording_path, "a") as f:
f.write(json.dumps({
"result": result
}))
f.write("\n")
# env.close()
logger.info("Environment closed.")
def main(example_class, example_id, gpt4_model="gpt-4-vision-preview"):
action_space = "pyautogui"
gemini_model = "gemini-pro-vision"
logger.info("Running example %s/%s", example_class, example_id)
logger.info("Using model %s", gpt4_model)
# logger.info("Using model %s", gemini_model)
with open(f"evaluation_examples/examples/{example_class}/{example_id}.json", "r", encoding="utf-8") as f:
example = json.load(f)
example["snapshot"] = "exp_v5"
api_key = os.environ.get("OPENAI_API_KEY")
agent = GPT4v_Agent(api_key=api_key,
model=gpt4_model,
instruction=example['instruction'],
action_space=action_space,
exp="screenshot")
#
# api_key = os.environ.get("GENAI_API_KEY")
# agent = GeminiPro_Agent(api_key=api_key, instruction=example['instruction'], action_space=action_space, exp="screenshot")
root_trajectory_dir = "exp_trajectory"
example_trajectory_dir = os.path.join(root_trajectory_dir, "screenshot", example_class, gpt4_model, example_id)
# example_trajectory_dir = os.path.join(root_trajectory_dir, "screenshot", example_class, gemini_model, example_id)
os.makedirs(example_trajectory_dir, exist_ok=True)
if os.path.exists(os.path.join(example_trajectory_dir, "trajectory.json")):
with open(os.path.join(example_trajectory_dir, "trajectory.json"), "r") as f:
lines = f.readlines()
# strip the last line if it is empty
lines = [line.strip() for line in lines if line.strip() != ""]
if len(lines) > 0:
last_line = json.loads(lines[-1])
if "result" in last_line:
logger.info(f"evaluation_examples/examples/{example_class}/{example_id}.json" + "has been evaluated. Skip.")
return
try:
func_timeout.func_timeout(1200, run_one_example, args=(example, agent, 15, example_trajectory_dir))
except Exception as e:
print(f"An error occurred: {e}")
with open(os.path.join(example_trajectory_dir, "trajectory.json"), "a") as f:
f.write(json.dumps({
"error": str(e)
}))
if __name__ == '__main__':
####### The complete version of the list of examples #######
os_list = [
# "94d95f96-9699-4208-98ba-3c3119edf9c2",
# "bedcedc4-4d72-425e-ad62-21960b11fe0d",
# "43c2d64c-bab5-4dcb-a30c-b888321c319a",
# "7688b85f-87a4-4e4a-b2f8-f3d6c3f29b82",
# "ec4e3f68-9ea4-4c18-a5c9-69f89d1178b3",
"a462a795-fdc7-4b23-b689-e8b6df786b78",
# "f9be0997-4b7c-45c5-b05c-4612b44a6118",
# "28cc3b7e-b194-4bc9-8353-d04c0f4d56d2",
# "5ea617a3-0e86-4ba6-aab2-dac9aa2e8d57",
# "e0df059f-28a6-4169-924f-b9623e7184cc",
# "ddc75b62-7311-4af8-bfb3-859558542b36",
"b3d4a89c-53f2-4d6b-8b6a-541fb5d205fa",
# "b6781586-6346-41cd-935a-a6b1487918fc",
# "3ce045a0-877b-42aa-8d2c-b4a863336ab8",
"fe41f596-a71b-4c2f-9b2f-9dcd40b568c3",
# "a4d98375-215b-4a4d-aee9-3d4370fccc41",
# "13584542-872b-42d8-b299-866967b5c3ef",
# "23393935-50c7-4a86-aeea-2b78fd089c5c",
"5812b315-e7bd-4265-b51f-863c02174c28",
"c288e301-e626-4b98-a1ab-159dcb162af5",
"cc9d4f34-1ca0-4a1b-8ff2-09302696acb9",
"c56de254-a3ec-414e-81a6-83d2ce8c41fa",
"4783cc41-c03c-4e1b-89b4-50658f642bd5",
"5c1075ca-bb34-46a3-a7a0-029bd7463e79",
"5ced85fc-fa1a-4217-95fd-0fb530545ce2",
"37887e8c-da15-4192-923c-08fa390a176d",
"4127319a-8b79-4410-b58a-7a151e15f3d7",
"4d117223-a354-47fb-8b45-62ab1390a95f",
"6f56bf42-85b8-4fbb-8e06-6c44960184ba"
]
calc_list = [
# "eb03d19a-b88d-4de4-8a64-ca0ac66f426b",
# "0bf05a7d-b28b-44d2-955a-50b41e24012a",
# "7a4e4bc8-922c-4c84-865c-25ba34136be1",
# "a9f325aa-8c05-4e4f-8341-9e4358565f4f",
# "ecb0df7a-4e8d-4a03-b162-053391d3afaf",
# "7efeb4b1-3d19-4762-b163-63328d66303b",
# "4e6fcf72-daf3-439f-a232-c434ce416af6",
# "6054afcb-5bab-4702-90a0-b259b5d3217c",
# "abed40dc-063f-4598-8ba5-9fe749c0615d",
# "01b269ae-2111-4a07-81fd-3fcd711993b0",
# "8b1ce5f2-59d2-4dcc-b0b0-666a714b9a14",
# "af2b02f7-acee-4be4-8b66-499fab394915",
# "da1d63b8-fa12-417b-ba18-f748e5f770f3",
# "636380ea-d5f6-4474-b6ca-b2ed578a20f1",
# "5ba77536-05c5-4aae-a9ff-6e298d094c3e",
# "4bc4eaf4-ca5e-4db2-8138-8d4e65af7c0b",
# "672a1b02-c62f-4ae2-acf0-37f5fb3052b0",
# "648fe544-16ba-44af-a587-12ccbe280ea6",
# "8985d1e4-5b99-4711-add4-88949ebb2308",
# "9e606842-2e27-43bf-b1d1-b43289c9589b",
# "fcb6e45b-25c4-4087-9483-03d714f473a9",
# "68c0c5b7-96f3-4e87-92a7-6c1b967fd2d2",
# "fff629ea-046e-4793-8eec-1a5a15c3eb35",
# "5c9a206c-bb00-4fb6-bb46-ee675c187df5",
# "e975ae74-79bd-4672-8d1c-dc841a85781d",
# "34a6938a-58da-4897-8639-9b90d6db5391",
# "b5a22759-b4eb-4bf2-aeed-ad14e8615f19",
# "2f9913a1-51ed-4db6-bfe0-7e1c95b3139e",
# "2558031e-401d-4579-8e00-3ecf540fb492",
# "0cecd4f3-74de-457b-ba94-29ad6b5dafb6",
# "4188d3a4-077d-46b7-9c86-23e1a036f6c1",
# "51b11269-2ca8-4b2a-9163-f21758420e78",
# "7e429b8d-a3f0-4ed0-9b58-08957d00b127",
# "347ef137-7eeb-4c80-a3bb-0951f26a8aff",
# "6e99a1ad-07d2-4b66-a1ce-ece6d99c20a5",
# "3aaa4e37-dc91-482e-99af-132a612d40f3",
# "37608790-6147-45d0-9f20-1137bb35703d",
# "f9584479-3d0d-4c79-affa-9ad7afdd8850",
# "d681960f-7bc3-4286-9913-a8812ba3261a",
# "21df9241-f8d7-4509-b7f1-37e501a823f7",
# "1334ca3e-f9e3-4db8-9ca7-b4c653be7d17",
# "357ef137-7eeb-4c80-a3bb-0951f26a8aff",
# "aa3a8974-2e85-438b-b29e-a64df44deb4b",
# "a01fbce3-2793-461f-ab86-43680ccbae25",
# "4f07fbe9-70de-4927-a4d5-bb28bc12c52c"
]
sheetcopilot_list = [
# "1e8df695-bd1b-45b3-b557-e7d599cf7597",
# "1273e544-688f-496b-8d89-3e0f40aa0606",
# "4172ea6e-6b77-4edb-a9cc-c0014bd1603b",
# "0326d92d-d218-48a8-9ca1-981cd6d064c7",
# "26a8440e-c166-4c50-aef4-bfb77314b46b",
# "1954cced-e748-45c4-9c26-9855b97fbc5e",
# "535364ea-05bd-46ea-9937-9f55c68507e8",
# "4de54231-e4b5-49e3-b2ba-61a0bec721c0",
# "1de60575-bb6e-4c3d-9e6a-2fa699f9f197",
# "0a2e43bf-b26c-4631-a966-af9dfa12c9e5",
# "3a7c8185-25c1-4941-bd7b-96e823c9f21f",
# "04d9aeaf-7bed-4024-bedb-e10e6f00eb7f",
# "42e0a640-4f19-4b28-973d-729602b5a4a7",
# "1d17d234-e39d-4ed7-b46f-4417922a4e7c",
"21ab7b40-77c2-4ae6-8321-e00d3a086c73",
"30e3e107-1cfb-46ee-a755-2cd080d7ba6a",
"12382c62-0cd1-4bf2-bdc8-1d20bf9b2371",
"51719eea-10bc-4246-a428-ac7c433dd4b3"
]
impress_list = [
# "5d901039-a89c-4bfb-967b-bf66f4df075e",
# "550ce7e7-747b-495f-b122-acdc4d0b8e54",
# "455d3c66-7dc6-4537-a39a-36d3e9119df7",
# "af23762e-2bfd-4a1d-aada-20fa8de9ce07",
# "c59742c0-4323-4b9d-8a02-723c251deaa0",
# "ef9d12bd-bcee-4ba0-a40e-918400f43ddf",
# "9ec204e4-f0a3-42f8-8458-b772a6797cab",
# "0f84bef9-9790-432e-92b7-eece357603fb",
# "ce88f674-ab7a-43da-9201-468d38539e4a",
# "3b27600c-3668-4abd-8f84-7bcdebbccbdb",
# "a097acff-6266-4291-9fbd-137af7ecd439",
# "bf4e9888-f10f-47af-8dba-76413038b73c",
# "21760ecb-8f62-40d2-8d85-0cee5725cb72",
# "ac9bb6cb-1888-43ab-81e4-a98a547918cd",
# "2cd43775-7085-45d8-89fa-9e35c0a915cf",
# "358aa0a7-6677-453f-ae35-e440f004c31e",
# "a669ef01-ded5-4099-9ea9-25e99b569840",
# # The following examples are from PPTC
# "73c99fb9-f828-43ce-b87a-01dc07faa224",
# "15aece23-a215-4579-91b4-69eec72e18da",
# "986fc832-6af2-417c-8845-9272b3a1528b",
# "a434992a-89df-4577-925c-0c58b747f0f4",
# "7dbc52a6-11e0-4c9a-a2cb-1e36cfda80d8",
# "841b50aa-df53-47bd-a73a-22d3a9f73160",
# "8979838c-54a5-4454-a2b8-3d135a1a5c8f",
# "b8adbc24-cef2-4b15-99d5-ecbe7ff445eb",
# "2b94c692-6abb-48ae-ab0b-b3e8a19cb340",
# "9cf05d24-6bd9-4dae-8967-f67d88f5d38a",
# "08aced46-45a2-48d7-993b-ed3fb5b32302",
# "edb61b14-a854-4bf5-a075-c8075c11293a",
# "c82632a4-56b6-4db4-9dd1-3820ee3388e4",
# "39be0d19-634d-4475-8768-09c130f5425d",
# "ac1b39ff-ee4d-4483-abce-c117e98942f0",
# "f23acfd2-c485-4b7c-a1e7-d4303ddfe864",
# "70bca0cc-c117-427e-b0be-4df7299ebeb6",
# "af2d657a-e6b3-4c6a-9f67-9e3ed015974c",
# "57667013-ea97-417c-9dce-2713091e6e2a",
# "0a211154-fda0-48d0-9274-eaac4ce5486d",
# "a53f80cd-4a90-4490-8310-097b011433f6",
# "7ae48c60-f143-4119-b659-15b8f485eb9a",
# "5cfb9197-e72b-454b-900e-c06b0c802b40",
# "05dd4c1d-c489-4c85-8389-a7836c4f0567",
# "5c1a6c3d-c1b3-47cb-9b01-8d1b7544ffa1",
# "4ed5abd0-8b5d-47bd-839f-cacfa15ca37a",
# "e4ef0baf-4b52-4590-a47e-d4d464cca2d7",
# "ed43c15f-00cb-4054-9c95-62c880865d68",
"3161d64e-3120-47b4-aaad-6a764a92493b",
"04578141-1d42-4146-b9cf-6fab4ce5fd74"
]
impress_gpt4_list = [
# "5d901039-a89c-4bfb-967b-bf66f4df075e",
# "550ce7e7-747b-495f-b122-acdc4d0b8e54",
# "455d3c66-7dc6-4537-a39a-36d3e9119df7",
# "af23762e-2bfd-4a1d-aada-20fa8de9ce07",
# "c59742c0-4323-4b9d-8a02-723c251deaa0",
# "ef9d12bd-bcee-4ba0-a40e-918400f43ddf",
# "9ec204e4-f0a3-42f8-8458-b772a6797cab",
# "0f84bef9-9790-432e-92b7-eece357603fb",
# "ce88f674-ab7a-43da-9201-468d38539e4a",
# "3b27600c-3668-4abd-8f84-7bcdebbccbdb",
# "a097acff-6266-4291-9fbd-137af7ecd439",
# "bf4e9888-f10f-47af-8dba-76413038b73c",
# "21760ecb-8f62-40d2-8d85-0cee5725cb72",
"ac9bb6cb-1888-43ab-81e4-a98a547918cd",
"2cd43775-7085-45d8-89fa-9e35c0a915cf",
"358aa0a7-6677-453f-ae35-e440f004c31e",
"a669ef01-ded5-4099-9ea9-25e99b569840",
# The following examples are from PPTC
"73c99fb9-f828-43ce-b87a-01dc07faa224",
"15aece23-a215-4579-91b4-69eec72e18da",
"986fc832-6af2-417c-8845-9272b3a1528b",
"a434992a-89df-4577-925c-0c58b747f0f4",
"7dbc52a6-11e0-4c9a-a2cb-1e36cfda80d8",
"841b50aa-df53-47bd-a73a-22d3a9f73160",
"8979838c-54a5-4454-a2b8-3d135a1a5c8f",
"b8adbc24-cef2-4b15-99d5-ecbe7ff445eb",
"2b94c692-6abb-48ae-ab0b-b3e8a19cb340",
"9cf05d24-6bd9-4dae-8967-f67d88f5d38a",
"08aced46-45a2-48d7-993b-ed3fb5b32302",
"edb61b14-a854-4bf5-a075-c8075c11293a",
"c82632a4-56b6-4db4-9dd1-3820ee3388e4",
"39be0d19-634d-4475-8768-09c130f5425d",
"ac1b39ff-ee4d-4483-abce-c117e98942f0",
"f23acfd2-c485-4b7c-a1e7-d4303ddfe864",
"70bca0cc-c117-427e-b0be-4df7299ebeb6",
"af2d657a-e6b3-4c6a-9f67-9e3ed015974c",
"57667013-ea97-417c-9dce-2713091e6e2a",
"0a211154-fda0-48d0-9274-eaac4ce5486d",
"a53f80cd-4a90-4490-8310-097b011433f6",
"7ae48c60-f143-4119-b659-15b8f485eb9a",
"5cfb9197-e72b-454b-900e-c06b0c802b40",
"05dd4c1d-c489-4c85-8389-a7836c4f0567",
"5c1a6c3d-c1b3-47cb-9b01-8d1b7544ffa1",
"4ed5abd0-8b5d-47bd-839f-cacfa15ca37a",
"e4ef0baf-4b52-4590-a47e-d4d464cca2d7",
"ed43c15f-00cb-4054-9c95-62c880865d68",
"3161d64e-3120-47b4-aaad-6a764a92493b",
"04578141-1d42-4146-b9cf-6fab4ce5fd74"
]
writer_list = [
# "6ada715d-3aae-4a32-a6a7-429b2e43fb93",
# "ecc2413d-8a48-416e-a3a2-d30106ca36cb",
# "0e47de2a-32e0-456c-a366-8c607ef7a9d2",
# "4bcb1253-a636-4df4-8cb0-a35c04dfef31",
# "0810415c-bde4-4443-9047-d5f70165a697",
# "e528b65e-1107-4b8c-8988-490e4fece599",
# "66399b0d-8fda-4618-95c4-bfc6191617e9",
"6a33f9b9-0a56-4844-9c3f-96ec3ffb3ba2",
# "936321ce-5236-426a-9a20-e0e3c5dc536f",
# "3ef2b351-8a84-4ff2-8724-d86eae9b842e",
# "0b17a146-2934-46c7-8727-73ff6b6483e8",
# "0e763496-b6bb-4508-a427-fad0b6c3e195",
# "f178a4a9-d090-4b56-bc4c-4b72a61a035d",
# "adf5e2c3-64c7-4644-b7b6-d2f0167927e7",
# "0a0faba3-5580-44df-965d-f562a99b291c",
# "e246f6d8-78d7-44ac-b668-fcf47946cb50",
# "8472fece-c7dd-4241-8d65-9b3cd1a0b568",
# "88fe4b2d-3040-4c70-9a70-546a47764b48",
# "d53ff5ee-3b1a-431e-b2be-30ed2673079b",
# "72b810ef-4156-4d09-8f08-a0cf57e7cefe",
# "6f81754e-285d-4ce0-b59e-af7edb02d108",
# "b21acd93-60fd-4127-8a43-2f5178f4a830",
"bb8ccc78-479f-4a2f-a71e-d565e439436b"
]
vlc_list = [
"8ba5ae7a-5ae5-4eab-9fcc-5dd4fe3abf89",
"8f080098-ddb1-424c-b438-4e96e5e4786e",
"bba3381f-b5eb-4439-bd9e-80c22218d5a7",
"fba2c100-79e8-42df-ae74-b592418d54f4",
"efcf0d81-0835-4880-b2fd-d866e8bc2294",
"8d9fd4e2-6fdb-46b0-b9b9-02f06495c62f",
"aa4b5023-aef6-4ed9-bdc9-705f59ab9ad6",
"386dbd0e-0241-4a0a-b6a2-6704fba26b1c",
"9195653c-f4aa-453d-aa95-787f6ccfaae9",
"d06f0d4d-2cd5-4ede-8de9-598629438c6e",
"a5bbbcd5-b398-4c91-83d4-55e1e31bbb81",
"f3977615-2b45-4ac5-8bba-80c17dbe2a37",
"215dfd39-f493-4bc3-a027-8a97d72c61bf",
"cb130f0d-d36f-4302-9838-b3baf46139b6",
"7882ed6e-bece-4bf0-bada-c32dc1ddae72"
]
chrome_list = [
# "bb5e4c0d-f964-439c-97b6-bdb9747de3f4",
# "7b6c7e24-c58a-49fc-a5bb-d57b80e5b4c3",
# "06fe7178-4491-4589-810f-2e2bc9502122",
# "e1e75309-3ddb-4d09-92ec-de869c928143",
# "35253b65-1c19-4304-8aa4-6884b8218fc0",
# "2ad9387a-65d8-4e33-ad5b-7580065a27ca",
# "7a5a7856-f1b6-42a4-ade9-1ca81ca0f263",
# "44ee5668-ecd5-4366-a6ce-c1c9b8d4e938",
# "2ae9ba84-3a0d-4d4c-8338-3a1478dc5fe3",
# "480bcfea-d68f-4aaa-a0a9-2589ef319381",
# "af630914-714e-4a24-a7bb-f9af687d3b91"
"3720f614-37fd-4d04-8a6b-76f54f8c222d",
"99146c54-4f37-4ab8-9327-5f3291665e1e",
"12086550-11c0-466b-b367-1d9e75b3910e",
"6766f2b8-8a72-417f-a9e5-56fcaa735837",
"93eabf48-6a27-4cb6-b963-7d5fe1e0d3a9",
"ae78f875-5b98-4907-bbb5-9c737fc68c03",
"3299584d-8f11-4457-bf4c-ce98f7600250",
"030eeff7-b492-4218-b312-701ec99ee0cc",
"9656a811-9b5b-4ddf-99c7-5117bcef0626",
"fc6d8143-9452-4171-9459-7f515143419a",
"a96b564e-dbe9-42c3-9ccf-b4498073438a",
"1704f00f-79e6-43a7-961b-cedd3724d5fd",
"f3b19d1e-2d48-44e9-b4e1-defcae1a0197",
"82bc8d6a-36eb-4d2d-8801-ef714fb1e55a",
"47543840-672a-467d-80df-8f7c3b9788c9",
"c1fa57f3-c3db-4596-8f09-020701085416",
"da46d875-6b82-4681-9284-653b0c7ae241",
"6c4c23a1-42a4-43cc-9db1-2f86ff3738cc",
"f79439ad-3ee8-4f99-a518-0eb60e5652b0",
"b7895e80-f4d1-4648-bee0-4eb45a6f1fa8",
"9f3f70fc-5afc-4958-a7b7-3bb4fcb01805",
"7f52cab9-535c-4835-ac8c-391ee64dc930",
"82279c77-8fc6-46f6-9622-3ba96f61b477",
"2888b4e6-5b47-4b57-8bf5-c73827890774",
"b4f95342-463e-4179-8c3f-193cd7241fb2",
"f5d96daf-83a8-4c86-9686-bada31fc66ab",
"121ba48f-9e17-48ce-9bc6-a4fb17a7ebba",
"368d9ba4-203c-40c1-9fa3-da2f1430ce63",
"59155008-fe71-45ec-8a8f-dc35497b6aa8",
"a728a36e-8bf1-4bb6-9a03-ef039a5233f0",
"b070486d-e161-459b-aa2b-ef442d973b92",
"0d8b7de3-e8de-4d86-b9fd-dd2dce58a217",
"9f935cce-0a9f-435f-8007-817732bfc0a5",
"f0b971a1-6831-4b9b-a50e-22a6e47f45ba",
"cabb3bae-cccb-41bd-9f5d-0f3a9fecd825"
]
vs_code_list = [
"0ed39f63-6049-43d4-ba4d-5fa2fe04a951",
"53ad5833-3455-407b-bbc6-45b4c79ab8fb",
"eabc805a-bfcf-4460-b250-ac92135819f6",
"982d12a5-beab-424f-8d38-d2a48429e511",
"4e60007a-f5be-4bfc-9723-c39affa0a6d3",
"e2b5e914-ffe1-44d2-8e92-58f8c5d92bb2",
"9439a27b-18ae-42d8-9778-5f68f891805e",
"ea98c5d7-3cf9-4f9b-8ad3-366b58e0fcae",
"930fdb3b-11a8-46fe-9bac-577332e2640e",
"276cc624-87ea-4f08-ab93-f770e3790175",
"9d425400-e9b2-4424-9a4b-d4c7abac4140",
"5e2d93d8-8ad0-4435-b150-1692aacaa994",
"6ed0a554-cbee-4b44-84ea-fd6c042f4fe1",
"ec71221e-ac43-46f9-89b8-ee7d80f7e1c5",
"70745df8-f2f5-42bd-8074-fbc10334fcc5",
"57242fad-77ca-454f-b71b-f187181a9f23",
"c6bf789c-ba3a-4209-971d-b63abf0ab733",
"0512bb38-d531-4acf-9e7e-0add90816068",
"847a96b6-df94-4927-97e6-8cc9ea66ced7",
"7aeae0e2-70ee-4705-821d-1bba5d5b2ddd",
"dcbe20e8-647f-4f1d-8696-f1c5bbb570e3",
"7c4cc09e-7a92-40dd-8338-b2286535c4ed",
"971cbb5b-3cbf-4ff7-9e24-b5c84fcebfa6"
]
gimp_list = [
"7a4deb26-d57d-4ea9-9a73-630f66a7b568",
"554785e9-4523-4e7a-b8e1-8016f565f56a",
"77b8ab4d-994f-43ac-8930-8ca087d7c4b4",
"f4aec372-4fb0-4df5-a52b-79e0e2a5d6ce",
"d52d6308-ec58-42b7-a2c9-de80e4837b2b",
"2a729ded-3296-423d-aec4-7dd55ed5fbb3",
"b148e375-fe0b-4bec-90e7-38632b0d73c2",
"a746add2-cab0-4740-ac36-c3769d9bfb46",
"7b7617bd-57cc-468e-9c91-40c4ec2bcb3d",
"d16c99dc-2a1e-46f2-b350-d97c86c85c15",
"06ca5602-62ca-47f6-ad4f-da151cde54cc",
"e2dd0213-26db-4349-abe5-d5667bfd725c",
"f723c744-e62c-4ae6-98d1-750d3cd7d79d",
"72f83cdc-bf76-4531-9a1b-eb893a13f8aa",
"7767eef2-56a3-4cea-8c9f-48c070c7d65b",
"734d6579-c07d-47a8-9ae2-13339795476b"
]
# multiple_list = [
# "f8cfa149-d1c1-4215-8dac-4a0932bad3c2",
# "897e3b53-5d4d-444b-85cb-2cdc8a97d903",
# "4e9f0faf-2ecc-4ae8-a804-28c9a75d1ddc",
# "b52b40a5-ad70-4c53-b5b0-5650a8387052",
# "46407397-a7d5-4c6b-92c6-dbe038b1457b",
# "2b9493d7-49b8-493a-a71b-56cd1f4d6908",
# "51f5801c-18b3-4f25-b0c3-02f85507a078",
# "2c9fc0de-3ee7-45e1-a5df-c86206ad78b5",
# "510f64c8-9bcc-4be1-8d30-638705850618",
# "937087b6-f668-4ba6-9110-60682ee33441",
# "ee9a3c83-f437-4879-8918-be5efbb9fac7",
# "3680a5ee-6870-426a-a997-eba929a0d25c",
# "e135df7c-7687-4ac0-a5f0-76b74438b53e",
# "58565672-7bfe-48ab-b828-db349231de6b",
# "2fe4b718-3bd7-46ec-bdce-b184f5653624"
# ]
#
# for example_id in calc_list:
# try:
# with eventlet.Timeout(600, False):
# main("libreoffice_calc", example_id, gpt4_model="gemini-pro-vision")
# except Exception as e:
# logger.error("An error occurred while running the example: %s", e)
# continue
# for example_id in vs_code_list:
# main("vs_code", example_id, gpt4_model="gemini-pro-vision")
#
# for example_id in gimp_list:
# main("gimp", example_id, gpt4_model="gemini-pro-vision")
for example_id in chrome_list:
main("chrome", example_id, "gemini-pro-vision")
for example_id in chrome_list:
main("chrome", example_id)