def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno, self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "slog")
self.__log_writer = LogWriter(self.__log_filename)
class Log(AutoFinalizeState):
def __init__(self, parent=None, name=None, **kwargs):
# init the parent class
super(Log, self).__init__(parent=parent,
name=name,
duration=0.0,
save_log=False)
self._init_log_items = kwargs
def begin_log(self):
super(Log, self).begin_log()
title = "log_%s_%d_%s" % (
os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename,
["time"] + self._init_log_items.keys())
def end_log(self, to_csv=False):
super(Log, self).end_log(to_csv)
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = None
if to_csv:
csv_filename = (os.path.splitext(self.__log_filename)[0] +
".csv")
log2csv(self.__log_filename, csv_filename)
def _enter(self):
record = self._log_items.copy()
record["time"] = self._start_time
self.__log_writer.write_record(record)
clock.schedule(self.leave)
def __init__(self,
sche_path,
log_path='prj2.log',
search_path='search.txt'):
self.search_path = search_path
self.db = Datasource()
self.scheduler = ScheduleParser(sche_path)
self.recovery = RecoveryManagement(log_path)
self.log_writer = LogWriter(log_path)
self.search = SearchEngine()
self.generator = SearchEngineGenerator()
def simulate(self, name=None, resource_limit=None):
model = ModelBuilder()
self.models, self.rm, self.dm = model.build_all(
resource_limit=resource_limit)
self._initialize_queue()
simulation = time.time()
while not self.execution_queue.is_empty():
current = self.execution_queue.pop()
if current.start > self.end:
break
self._simulate(current)
print('Simulation time: ' + str(time.time() - simulation))
LogWriter.write(self.log_queue, name=name)
class ScheduleSimulator(SingletonInstance):
def __init__(self,
sche_path,
log_path='prj2.log',
search_path='search.txt'):
self.search_path = search_path
self.db = Datasource()
self.scheduler = ScheduleParser(sche_path)
self.recovery = RecoveryManagement(log_path)
self.log_writer = LogWriter(log_path)
self.search = SearchEngine()
self.generator = SearchEngineGenerator()
def __call__(self):
transaction = {}
for idx, schdule in enumerate(self.scheduler()):
groups = schdule.groups()
command_type = groups[0]
if 'recover' in command_type:
transaction = {}
self.recovery(idx)
self.log_writer.set_checkpoint([])
self.generator()
else:
self.log_writer(idx, schdule, transaction)
if command_type.startswith("<T"):
if command_type not in transaction.keys():
transaction[command_type] = []
if groups[1] in 'commit':
for sql in transaction[command_type]:
self.db.free_sql(sql)
transaction[command_type] = []
self.generator()
elif groups[1] in 'rollback':
transaction[command_type] = []
else:
transaction[command_type].append(groups[1])
elif 'search' in command_type:
query = groups[1].replace("\n", "").strip()
with open(self.search_path, "a") as f:
f.write(f"search {idx+1}\n")
f.write(f"query {query}\n")
results = self.search(query)
for doc in results:
f.write(f"{self.search.result_formatting(doc)}\n")
def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (
os.path.splitext(os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name,
)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename, ["timestamp", "key", "state"])
def setup_state_logger(self, state_class_name):
if state_class_name in self._state_loggers:
filename, logger = self._state_loggers[state_class_name]
else:
title = "state_" + state_class_name
filename = self.reserve_data_filename(title, "slog")
logger = LogWriter(filename)
self._state_loggers[state_class_name] = filename, logger
return filename
def begin_log(self):
super(Log, self).begin_log()
title = "log_%s_%d_%s" % (
os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename,
["time"] + self._init_log_items.keys())
def begin_log(self):
super(Record, self).begin_log()
title = "record_%s_%d_%s" % (
os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename,
self.__refs.keys() + ["timestamp"])
def setup_state_logger(self, state_class_name, field_names):
field_names = tuple(field_names)
if state_class_name in self._state_loggers:
if field_names == self._state_loggers[state_class_name][2]:
return
raise ValueError("'field_names' changed for state class %r!" %
state_class_name)
title = "state_" + state_class_name
filename = self.reserve_data_filename(title, "smlog")
logger = LogWriter(filename, field_names)
self._state_loggers[state_class_name] = filename, logger, field_names
def _write_sysinfo(self, filename=None):
if filename is None:
filename = self._sysinfo_slog
sysinfo_logger = LogWriter(filename=filename)
sysinfo_logger.write_record(data=self._sysinfo)
sysinfo_logger.close()
class KeyRecord(KeyState):
def __init__(self, parent=None, duration=None, name=None):
super(KeyState, self).__init__(parent=parent, duration=duration, save_log=False, name=name)
def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (
os.path.splitext(os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name,
)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename, ["timestamp", "key", "state"])
def end_log(self, to_csv=False):
super(KeyRecord, self).end_log(to_csv)
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = None
if to_csv:
csv_filename = os.path.splitext(self.__log_filename)[0] + ".csv"
log2csv(self.__log_filename, csv_filename)
def _on_key_down(self, keycode, text, modifiers, event_time):
self.__log_writer.write_record({"timestamp": event_time, "key": keycode[1].upper(), "state": "down"})
def _on_key_up(self, keycode, event_time):
self.__log_writer.write_record({"timestamp": event_time, "key": keycode[1].upper(), "state": "up"})
def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (
os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name)
if self.__log_filename is not None:
os.remove(self.__log_filename)
self.__log_filename = self._exp.reserve_data_filename(title, "slog")
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = LogWriter(self.__log_filename)
class KeyRecord(KeyState):
def __init__(self, parent=None, duration=None, name=None, blocking=True):
super(KeyState, self).__init__(parent=parent,
duration=duration,
save_log=False,
name=name,
blocking=blocking)
def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno, self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename,
["timestamp", "key", "state"])
def end_log(self, to_csv=False):
super(KeyRecord, self).end_log(to_csv)
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = None
if to_csv:
csv_filename = (os.path.splitext(self.__log_filename)[0] +
".csv")
log2csv(self.__log_filename, csv_filename)
def _on_key_down(self, keycode, text, modifiers, event_time):
self.__log_writer.write_record({
"timestamp": event_time,
"key": keycode[1].upper(),
"state": "down"
})
def _on_key_up(self, keycode, event_time):
self.__log_writer.write_record({
"timestamp": event_time,
"key": keycode[1].upper(),
"state": "up"
})
class KeyRecord(KeyState):
"""A state that records keypresses during a duration.
A *KeyRecord* state will record any keypress, the keyup's and keydown's,
as well as any timing associated with them for a duration.
Parameters
----------
duration : float (optional)
The duration you would like your experiment to wait for a keypress.
If set to None, then it will wait until a key from **keys** is
pressed, then continue with the experiment.
parent : ParentState (optional)
The state you would like this state to be a child of. If not set,
the *Experiment* will make it a child of a ParentState or the
Experiment automatically.
name : string (optional)
The unique name of this state
blocking : boolean (optional, default = True)
If True, this state will prevent a *Parallel* state from ending. If
False, this state will be canceled if its Parallel Parent finishes
running. Only relevant if within a *Parallel* Parent.
Logged Attributes
-----------------
All parameters above and below are available to be accessed and
manipulated within the experiment code, and will be automatically
recorded in the state-specific log. Refer to State class
docstring for additional logged parameters.
"""
def __init__(self, parent=None, duration=None, name=None, blocking=True):
super(KeyState, self).__init__(parent=parent,
duration=duration,
save_log=False,
name=name,
blocking=blocking)
def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno, self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "slog")
self.__log_writer = LogWriter(self.__log_filename)
def end_log(self, to_csv=False):
super(KeyRecord, self).end_log(to_csv)
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = None
if to_csv:
csv_filename = (os.path.splitext(self.__log_filename)[0] +
".csv")
log2csv(self.__log_filename, csv_filename)
def _on_key_down(self, keycode, text, modifiers, event_time):
self.__log_writer.write_record({
"timestamp": event_time,
"key": keycode[1].upper(),
"state": "down"
})
def _on_key_up(self, keycode, event_time):
self.__log_writer.write_record({
"timestamp": event_time,
"key": keycode[1].upper(),
"state": "up"
})
def save_log(self, name, callback=None):
lw = LogWriter("%s.log" % name)
data = self.get_arr()
lw.write_one(data)
if callback:
callback(self.get())
class KeyRecord(KeyState):
"""A state that records keypresses during a duration.
A *KeyRecord* state will record any keypress, the keyup's and keydown's,
as well as any timing associated with them for a duration.
Parameters
----------
duration : float (optional)
The duration you would like your experiment to wait for a keypress.
If set to None, then it will wait until a key from **keys** is
pressed, then continue with the experiment.
parent : ParentState (optional)
The state you would like this state to be a child of. If not set,
the *Experiment* will make it a child of a ParentState or the
Experiment automatically.
name : string (optional)
The unique name of this state
blocking : boolean (optional, default = True)
If True, this state will prevent a *Parallel* state from ending. If
False, this state will be canceled if its Parallel Parent finishes
running. Only relevant if within a *Parallel* Parent.
Logged Attributes
-----------------
All parameters above and below are available to be accessed and
manipulated within the experiment code, and will be automatically
recorded in the state-specific log. Refer to State class
docstring for additional logged parameters.
"""
def __init__(self, parent=None, duration=None, name=None, blocking=True):
super(KeyState, self).__init__(parent=parent, duration=duration,
save_log=False, name=name,
blocking=blocking)
self.__log_filename = None
self.__log_writer = None
def begin_log(self):
super(KeyRecord, self).begin_log()
title = "keyrec_%s_%d_%s" % (
os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name)
if self.__log_filename is not None:
os.remove(self.__log_filename)
self.__log_filename = self._exp.reserve_data_filename(title, "slog")
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = LogWriter(self.__log_filename)
def end_log(self, to_csv=False):
super(KeyRecord, self).end_log(to_csv)
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = None
if to_csv:
csv_filename = (os.path.splitext(self.__log_filename)[0] +
".csv")
log2csv(self.__log_filename, csv_filename)
def _on_key_down(self, keycode, text, modifiers, event_time):
self.__log_writer.write_record({
"timestamp": event_time,
"key": keycode[1].upper(),
"state": "down"})
def _on_key_up(self, keycode, event_time):
self.__log_writer.write_record({
"timestamp": event_time,
"key": keycode[1].upper(),
"state": "up"})
def __init__(self, log_path, path='recovery.txt'):
self.path = path
self.db = Datasource()
self.log_parser = LogParser(log_path)
self.log_writer = LogWriter(log_path)
self.generator = SearchEngineGenerator()
class Record(State):
def __init__(self, duration=None, parent=None, name=None, blocking=True,
**kwargs):
super(Record, self).__init__(parent=parent,
duration=duration,
save_log=False,
name=name,
blocking=blocking)
self.__refs = kwargs
def begin_log(self):
super(Record, self).begin_log()
title = "record_%s_%d_%s" % (
os.path.splitext(
os.path.basename(self._instantiation_filename))[0],
self._instantiation_lineno,
self._name)
self.__log_filename = self._exp.reserve_data_filename(title, "smlog")
self.__log_writer = LogWriter(self.__log_filename,
self.__refs.keys() + ["timestamp"])
def end_log(self, to_csv=False):
super(Record, self).end_log(to_csv)
if self.__log_writer is not None:
self.__log_writer.close()
self.__log_writer = None
if to_csv:
csv_filename = (os.path.splitext(self.__log_filename)[0] +
".csv")
log2csv(self.__log_filename, csv_filename)
def _enter(self):
clock.schedule(self.leave, event_time=self._start_time)
if self._end_time is not None:
clock.schedule(self.finalize, event_time=self._end_time)
def _leave(self):
for name, ref in self.__refs.iteritems():
self.record_change()
ref.add_change_callback(self.record_change)
def finalize(self):
super(Record, self).finalize()
for name, ref in self.__refs.iteritems():
ref.remove_change_callback(self.record_change)
def record_change(self):
record = val(self.__refs)
record["timestamp"] = self._exp._app.event_time
self.__log_writer.write_record(record)
def cancel(self, cancel_time):
if self._active:
if cancel_time < self._start_time:
clock.unschedule(self.leave)
clock.schedule(self.leave)
clock.unschedule(self.finalize)
clock.schedule(self.finalize)
self._end_time = self._start_time
elif self._end_time is None or cancel_time < self._end_time:
clock.unschedule(self.finalize)
clock.schedule(self.finalize, event_time=cancel_time)
self._end_time = cancel_time
class RecoveryManagement(object):
def __init__(self, log_path, path='recovery.txt'):
self.path = path
self.db = Datasource()
self.log_parser = LogParser(log_path)
self.log_writer = LogWriter(log_path)
self.generator = SearchEngineGenerator()
def __call__(self, recover_line):
with open(self.path, "a") as f:
save_redo_list = []
n_line, undo_list = self.log_parser.find_checkpoint()
for log in self.log_parser.forward(n_line=n_line):
groups = log.groups()
command_type = groups[0]
if 'recover' in command_type:
break
else:
if len(groups) == 2:
if 'start' in groups[1]:
undo_list.append(command_type)
elif 'commit' in groups[1]:
undo_list.remove(command_type)
# transaction = self.log_parser.find_transaction(command_type)
# for t in transaction:
# self.execute_recovery(command_type, t, 'new', 'redo')
save_redo_list.append(command_type)
elif 'abort' in groups[1]:
undo_list.remove(command_type)
# transaction = self.log_parser.find_transaction(command_type)
# for t in transaction:
# self.execute_recovery(command_type, t, 'old', 'redo')
save_redo_list.append(command_type)
elif command_type.startswith('<T'):
self.execute_recovery(command_type, groups[1:], 'new',
'redo')
save_undo_list = undo_list.copy()
for log in self.log_parser.backward():
groups = log.groups()
command_type = groups[0]
if command_type in undo_list and 'start' in groups[1]:
undo_list.remove(command_type)
# transaction = self.log_parser.find_transaction(command_type)
# for t in reversed(transaction):
# self.execute_recovery(command_type, t, 'old', 'undo')
self.log_writer.free_write(f"{command_type} abort")
elif command_type in undo_list and command_type.startswith(
'<T'):
self.execute_recovery(command_type, groups[1:], 'old',
'undo')
self.log_writer.recover(recover_line)
self.log_writer.checkpoint()
f.write(f"recover {recover_line + 1}\n")
f.write(f"redo {', '.join(save_redo_list)}\n")
f.write(f"undo {', '.join(save_undo_list)}\n")
def execute_recovery(self, t_id, t, value_type, do_type):
'''
t (tuple): 트랜잭션 튜플
value_type (enum): old value인지 new value인지
['old', 'new']
do_Type (enum): undo or redo
['undo', 'redo']
'''
assert value_type in ['old', 'new'], "Value 타입이 잘못되었습니다."
assert do_type in ['undo', 'redo'], "Do 타입이 잘못되었습니다."
is_undo = True if do_type == 'undo' else False
# Update
if len(t) == 6:
table, key_field, key, target_field, old_value, new_value = t
# value = new_value if value_type in 'new' else old_value
value = new_value if do_type == 'redo' else old_value
if is_undo:
self.log_writer.free_write(
f"{t_id}, <{table}>.<id:{key}>.<{target_field}>, <{new_value}>, <{old_value}>"
)
else:
self.log_writer.free_write(f"#redo {t_id}_{t}")
self.db.update_table(table, key_field, key, target_field, value)
# Delete
elif len(t) == 5:
table, key_field, key, old_tuple, _ = t
if isinstance(old_tuple, str):
if old_tuple != 'None':
old_tuple = old_tuple[1:-1]
if old_tuple.endswith(","):
old_tuple = old_tuple[:-1]
if value_type == 'new':
if is_undo:
self.log_writer.free_write(
f"{t_id}, <{table}>.<{key_field}:{key}>, <{old_tuple}>, <None>"
)
else:
self.log_writer.free_write(f"#redo {t_id}_{t}")
self.db.delete_table(table, key_field, key)
else:
if old_tuple != 'None':
if is_undo:
self.log_writer.free_write(
f"{t_id}, <{table}>.<{key_field}:{key}>, <None>, <{old_tuple}>"
)
else:
self.log_writer.free_write(f"#redo {t_id}_{t}")
self.db.insert_table(table, old_tuple)
def learn_episode(self, verbose = True):
episode_num_per_unit = 1
learn_num_per_unit = 1
dst_base_dir = Path(self.__cfg.dst_dir_path)
log_writer = None
all_log_writer = LogWriter(dst_base_dir.joinpath("learn.csv"))
for trial in range(self.__cfg.episode_unit_num):
if (trial + 1) % 64 == 0:
weight_path = dst_base_dir.joinpath("weight", "param{}.bin".format(trial))
if not weight_path.parent.exists():
weight_path.parent.mkdir(parents = True)
self.__agent.shared_nn.save(weight_path)
explore = True
for episode_cnt in range(episode_num_per_unit):
log_path = dst_base_dir.joinpath("play", "{}_{}.csv".format(trial, episode_cnt))
if log_writer is not None:
del log_writer
log_writer = LogWriter(log_path)
if verbose:
loop_fun = tqdm
else:
loop_fun = lambda x : x
for step, (info, new_es) in loop_fun(enumerate(self.__evolve(explore))):
if explore:
for new_e in new_es:
self.__experiences.append(new_e)
out_infos = {}
out_infos["episode"] = episode_cnt
out_infos["step"] = step
out_infos["t"] = step * self.__env.dt
out_infos.update(info)
out_infos["explore"] = explore
log_writer.write(out_infos)
# after episode
if len(self.__experiences) < self.__batch_size:
continue
# after episode unit
learn_cnt_per_unit = 0
state_shape = self.__env.state_shape
s = jnp.zeros(state_shape, dtype = jnp.float32)
a = jnp.zeros((state_shape[0], EnAction.num), dtype = jnp.float32)
r = jnp.zeros((state_shape[0], 1), dtype = jnp.float32)
n_s = jnp.zeros(state_shape, dtype = jnp.float32)
n_fin = jnp.zeros((state_shape[0], 1), dtype = jnp.float32)
gamma = self.__env.gamma
val = 0
total_loss_q = []
total_loss_pi = []
while 1:
self.__rng, rng = jrandom.split(self.__rng)
e_i = int(jrandom.randint(rng, (1,), 0, len(self.__experiences)))
e = self.__experiences[e_i]
if not e.finished:
s = s.at[val,:].set(e.observation[0])
a = a.at[val,:].set(e.action)
r = r.at[val].set(float(e.reward))
n_s = n_s.at[val,:].set(e.next_state[0])
n_fin = n_fin.at[val,:].set(float(e.next_finished))
val += 1
if val >= state_shape[0]:
q_learn_cnt, p_learn_cnt, temperature, loss_val_qs, loss_val_pi, loss_balances = self.__agent.shared_nn.update(gamma, s, a, r, n_s, n_fin)
all_info = {}
all_info["trial"] = int(trial)
all_info["episode_num_per_unit"] = int(episode_num_per_unit)
all_info["episode"] = int(episode_cnt)
all_info["q_learn_cnt"] = int(q_learn_cnt)
#all_info["p_learn_cnt"] = int(p_learn_cnt)
all_info["temperature"] = float(temperature)
for _i, loss_val_q in enumerate(loss_val_qs):
all_info["loss_val_q{}".format(_i)] = float(loss_val_q)
all_info["loss_val_pi"] = float(loss_val_pi)
#for _i, loss_balance in enumerate(loss_balances):
# all_info["loss_balance{}".format(_i)] = float(loss_balance)
all_log_writer.write(all_info)
if verbose:
for value in all_info.values():
if isinstance(value, float):
print("{:.3f}".format(value), end = ",")
else:
print(value, end = ",")
print()
total_loss_q.append(loss_val_q)
total_loss_pi.append(loss_val_pi)
val = 0
learn_cnt_per_unit += 1
if (learn_cnt_per_unit >= min(learn_num_per_unit, len(self.__experiences) // self.__batch_size)):
break