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func_helper.py
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import traceback, asyncio, time
from uuid import uuid4
from threading import Thread
from collections import namedtuple
action_result = namedtuple("action_result", "success value")
swap_arg = namedtuple("swap_arg", "name")
async_handler_action = namedtuple("async_handler_action", "func args kwargs")
class Async_handler:
def __init__(self, timeout = 300, refresh_rate = 1, action_refresh_rate = 1):
self.que = {} # Que of functions to evaluate asynchronously
self.timeout = timeout # How long can a function be in que before timeout
self.refresh_rate = refresh_rate # How many seconds between each check of function timeout
self.action_refresh_rate = action_refresh_rate # How many seconds between executing the que
def run(self, func, *args, **kwargs):
ide = str(uuid4()) # ID for function
self.que[ide] = (param := async_handler_action(func, args, kwargs)) # Set up parameters
for i in range(self.timeout):
if self.que[ide] == param: # Unchanged value
time.sleep(self.action_refresh_rate)
else: # Value changed, return it
ret = self.que[ide]
del self.que[ide]
return ret
else: # Timed out
del self.que[ide]
return Exception("Timeout")
async def looper(self):
while True:
try:
for ide in list(self.que):
action = self.que[ide]
if type(action) == async_handler_action:
try: # Set que item to result
self.que[ide] = (await action.func(*action.args, **action.kwargs))
except Exception as err: # On failure, set result to error
self.que[ide] = err
except Exception as err:
print(f"Error in looper! {err}")
await asyncio.sleep(self.refresh_rate)
class Action:
def __init__(self,
func, *args,
fails_task = True,
name = "Action",
check = None,
parse = None,
fail_action = None,
success_action = None,
skip_task_success_handler = False,
skip_task_fail_handler = False,
check_before_parse = True,
**kwargs):
self.func = func # Function to run
self.args = list(args) # Normal arguments for function
self.kwargs = kwargs # keyword arguments for function
self.name = name # Name for this action, mostly just used for logging purposes
self.parse = parse or (lambda x: {"result": x}) # Function to apply on function result
self.check = check or (lambda x: True) # Function to check if function result is successful
self.check_before_parse = check_before_parse # Should we only parse before or after success checker
self.fails_task = fails_task # Does action fail terminate tast?
self.success_action = success_action # Action to perform on success
self.fail_action = fail_action # Action to perform on failure
self.skip_task_success_handler = skip_task_success_handler # On success, ignore task's general success handler
self.skip_task_fail_handler = skip_task_fail_handler # On fail, ignore task's general fail handler
self.async_handler = None # Handler to run async functions
def execute(self, *args, **kwargs):
args = args or self.args .copy()
kwargs = kwargs or self.kwargs.copy()
try:
if asyncio.iscoroutinefunction(self.func): # Execute async functions
if self.async_handler:
value = self.async_handler.run(self.func, *args, **kwargs)
if type(value) == Exception:
raise value
else:
return action_result(False, "Unable to run async function: no async handler specified.")
else:
value = self.func(*args, **kwargs) # Execute normal functions
# Ordering and running of parse and check
if self.check_before_parse:
if checked_value := self.check(value):
result = self.parse(value)
else:
result = value
else:
result = self.parse(result)
checked_value = self.check(result)
if checked_value:
return action_result(True, result) # Return success
else:
return action_result(False, result) # Return failure
except Exception as err:
# return execution faliure
return action_result(False, err)
def __str__(self):
return f'''func="{self.func.__name__}" args="{self.args}" fails_task="{self.fails_task}" kwargs="{self.kwargs}"'''
class Task:
def __init__(self,
*actions,
fail_handler = None,
success_handler = None,
async_handler = None,
persist_result_values = False):
self.actions = list(actions) # List of actions to perform
self.success_handler = success_handler or (lambda name, val: ()) # Generic function to perform on action success
self.fail_handler = fail_handler or (
lambda name, err: print(f"{name}: Error!", ''.join(traceback.format_exception(err)), self)
) # Generic function to perform on action faliure
self.async_handler = async_handler # Handler to execute async functions
self.persist_result_values = persist_result_values # Does the resulting value dictionary keep values from previous actions or only last action
for action in self.actions: # Give actions the async handler
action.async_handler = self.async_handler
def run(self):
result = {}
for action_index, action in enumerate(self.actions):
args = [(
result[v.name] if type(v) == swap_arg else v
) for v in action.args]
kwargs = {k: (
result[v.name] if type(v) == swap_arg else v
) for k, v in action.kwargs.items()}
cur_result = action.execute(*args, **kwargs) # success, value
if cur_result.success: # success
if action.success_action: # Run action's built in success handler
action.success_action.execute(action.name, cur_result.value)
if not action.skip_task_success_handler: # check task success override
self.success_handler(action.name, cur_result.value) # Run task success action
else: # Failed
if action.fail_action: # Run action's built in fail handler
action.fail_action.execute(action.name, cur_result.value)
if action.fails_task: # Run task failed action
if action.skip_task_fail_handler: # check task fail override
return action.name, cur_result.value
else:
return self.fail_handler(action.name, cur_result.value)
if self.persist_result_values:
result |= cur_result.value # Merge previous results
else:
result = cur_result.value # Overwrite previous results
return result["result"] if "result" in result else result
def run_threaded(self):
Thread(target = self.run).start()
if __name__ == '__main__':
def f1(a, b):
return f"{a} {b}"
def f2(k, cheese = None):
return k * 2 + cheese
def f3(k):
return f"sus {k}"
print(Task(
Action(f1, 2, 2, name = "#1",
parse = lambda x: {"a": x, "b": " haha"}),
Action(f2, swap_arg("a"), cheese = swap_arg("b"),
name = "#2"),
Action(f3, swap_arg("result"),
name = "#3"),
success_handler = lambda name, val: print(f'{name} says "{val}"')
).run())