4a79aa6a93
* typo: Fix typos and rename functions across multiple files This commit addresses several minor issues: - Corrected spelling of function names (e.g., `update_ui_lastest_msg` to `update_ui_latest_msg`) - Fixed typos in comments and variable names - Corrected capitalization in some strings (e.g., "ArXiv" instead of "Arixv") - Renamed some variables for consistency - Corrected some console-related parameter names (e.g., `console_slience` to `console_silence`) The changes span multiple files across the project, including request LLM bridges, crazy functions, and utility modules. * fix: f-string expression part cannot include a backslash (#2139) * raise error when the uploaded tar contain hard/soft link (#2136) * minor bug fix * fine tune reasoning css * upgrade internet gpt plugin * Update README.md * fix GHSA-gqp5-wm97-qxcv * typo fix * update readme --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> Co-authored-by: binary-husky <qingxu.fu@outlook.com>
71 lines
3.0 KiB
Python
71 lines
3.0 KiB
Python
import time
|
|
import importlib
|
|
from toolbox import trimmed_format_exc, gen_time_str, get_log_folder
|
|
from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, is_the_upload_folder
|
|
from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_latest_msg
|
|
import multiprocessing
|
|
|
|
def get_class_name(class_string):
|
|
import re
|
|
# Use regex to extract the class name
|
|
class_name = re.search(r'class (\w+)\(', class_string).group(1)
|
|
return class_name
|
|
|
|
def try_make_module(code, chatbot):
|
|
module_file = 'gpt_fn_' + gen_time_str().replace('-','_')
|
|
fn_path = f'{get_log_folder(plugin_name="gen_plugin_verify")}/{module_file}.py'
|
|
with open(fn_path, 'w', encoding='utf8') as f: f.write(code)
|
|
promote_file_to_downloadzone(fn_path, chatbot=chatbot)
|
|
class_name = get_class_name(code)
|
|
manager = multiprocessing.Manager()
|
|
return_dict = manager.dict()
|
|
p = multiprocessing.Process(target=is_function_successfully_generated, args=(fn_path, class_name, return_dict))
|
|
# only has 10 seconds to run
|
|
p.start(); p.join(timeout=10)
|
|
if p.is_alive(): p.terminate(); p.join()
|
|
p.close()
|
|
return return_dict["success"], return_dict['traceback']
|
|
|
|
# check is_function_successfully_generated
|
|
def is_function_successfully_generated(fn_path, class_name, return_dict):
|
|
return_dict['success'] = False
|
|
return_dict['traceback'] = ""
|
|
try:
|
|
# Create a spec for the module
|
|
module_spec = importlib.util.spec_from_file_location('example_module', fn_path)
|
|
# Load the module
|
|
example_module = importlib.util.module_from_spec(module_spec)
|
|
module_spec.loader.exec_module(example_module)
|
|
# Now you can use the module
|
|
some_class = getattr(example_module, class_name)
|
|
# Now you can create an instance of the class
|
|
instance = some_class()
|
|
return_dict['success'] = True
|
|
return
|
|
except:
|
|
return_dict['traceback'] = trimmed_format_exc()
|
|
return
|
|
|
|
def subprocess_worker(code, file_path, return_dict):
|
|
return_dict['result'] = None
|
|
return_dict['success'] = False
|
|
return_dict['traceback'] = ""
|
|
try:
|
|
module_file = 'gpt_fn_' + gen_time_str().replace('-','_')
|
|
fn_path = f'{get_log_folder(plugin_name="gen_plugin_run")}/{module_file}.py'
|
|
with open(fn_path, 'w', encoding='utf8') as f: f.write(code)
|
|
class_name = get_class_name(code)
|
|
# Create a spec for the module
|
|
module_spec = importlib.util.spec_from_file_location('example_module', fn_path)
|
|
# Load the module
|
|
example_module = importlib.util.module_from_spec(module_spec)
|
|
module_spec.loader.exec_module(example_module)
|
|
# Now you can use the module
|
|
some_class = getattr(example_module, class_name)
|
|
# Now you can create an instance of the class
|
|
instance = some_class()
|
|
return_dict['result'] = instance.run(file_path)
|
|
return_dict['success'] = True
|
|
except:
|
|
return_dict['traceback'] = trimmed_format_exc()
|