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import os
import tempfile
import bz2
import rich
import pickle
import time
import sys
import gc
from rich.progress import Progress
from typing import Any, Tuple, List, Dict
from multiprocessing import Manager, Queue, Process, Pool
from multiprocessing import managers as m
from queue import Empty
from .globals import *
from .context import Context, MainContext
from .symbol_table import GlobalSymbolTable
class TimeCode:
def __init__(self, context: Context, text: str):
self.context = context
self.text = text
self.start = 0
self.end = 0
def __enter__(self):
self.start = time.perf_counter()
def __exit__(self, type, value, traceback):
self.end = time.perf_counter()
self.context.debug(f"'{self.text}': {self.end-self.start} seconds")
def _process_entrypoint(input: Queue, output: Queue, shared_file: str):
"""
Function running on processes create by 'execute_tasks'.
Get tasks from the task queue and run them and talk back to the main process using the output queue.
"""
# load shared data if any
shared = {}
if shared_file:
try:
context = Context(index=-1, output=output)
with TimeCode(context, "load_shared") as tc:
gc.disable()
with open(shared_file, 'rb') as file:
shared = pickle.load(file)
gc.enable()
except:
exc_type, exc_value, tb = sys.exc_info()
tb = rich.traceback.Traceback.from_exception(
exc_type,
exc_value,
tb.tb_next if tb else tb,
)
context.exception(tb)
while True:
try:
# get available task
i, task = input.get(block=False)
context = Context(index=i, output=output)
try:
# execute task
result = task[0](context, *task[1], **shared)
context.complete(result)
except SystemExit:
context.exit()
sys.exit(1)
except:
# exception inside task, capture exception information and send it back to the main process
exc_type, exc_value, tb = sys.exc_info()
tb = rich.traceback.Traceback.from_exception(
exc_type,
exc_value,
tb.tb_next if tb else tb,
)
context.exception(tb)
except KeyboardInterrupt:
break
except BrokenPipeError:
break
except Empty:
# to more tasks, exit
break
def execute_tasks(process_count: int,
input_tasks: List[Tuple[Any, Any]],
shared: Dict[str, Any] = {},
callback: Any = None) -> List[Any]:
"""
Creates 'process_count' processes that will together execute the provided tasks.
"""
manager = Manager()
results = [None] * len(input_tasks)
if len(input_tasks) == 1:
process_count = 0
if process_count == 0:
output = manager.Queue()
for i, task in enumerate(input_tasks):
context = MainContext(i, output)
results[i] = task[0](context, *task[1], **shared)
callback("complete", i)
while not output.empty():
command = output.get(block=True)
callback(command[0], *command[1])
return results
input = manager.Queue()
output = manager.Queue()
timeout = 5 * 60 # if one single task takes more then 5 minutes, something is wrong
# instead of copying state for each task, shared state is written to a file which is loaded once per process.
shared_file = None
temp_file = None
if len(shared) > 0:
context = MainContext(0, None)
with TimeCode(context, "create_shared") as tc:
temp_file = tempfile.NamedTemporaryFile(
"wb", suffix='.dump', prefix="mp_shared", delete=True)
shared_file = temp_file.name
debug(f"shared file: '{temp_file.name}'")
pickle_data = pickle.dumps(shared)
temp_file.write(pickle_data)
temp_file.flush()
# add tasks to the task queue
for i, task in enumerate(input_tasks):
try:
input.put((i, task))
except:
get_console().print_exception()
error(i)
error(task)
fatal_exit()
# create the processes
processors = [
Process(target=_process_entrypoint, args=(input, output, shared_file))
for i in range(process_count)
]
# start the processes
for process in processors:
process.start()
# receive messages
waiting = len(input_tasks)
while waiting > 0:
try:
command = output.get(block=True, timeout=timeout)
processing = True
if callback:
processing = callback(command[0], *command[1])
if processing:
if command[0] == 'debug':
debug(*command[1])
elif command[0] == 'warning':
warning(*command[1])
elif command[0] == 'error':
error(*command[1])
elif command[0] == 'info':
info(*command[1])
elif command[0] == 'complete':
results[command[1][0]] = command[1][1]
waiting -= 1
elif command[0] == 'exception':
waiting -= 1
print(command[1][1])
elif command[0] == 'exit':
sys.exit(1)
else:
warning(f"unknown command: {command}")
except Empty:
error(f"task took to long to complete (+{timeout} seconds)")
fatal_exit()
# wait for all processes to finish
for process in processors:
process.join()
# TODO: Maybe we don't need to clear the queue
while not output.empty():
command = output.get(block=False)
warning(f"skipped command: {command}")
if temp_file:
temp_file.close()
return results
def apply(process_count: int, func: Any, data: List[Any], shared: Dict[str, Any] = {}, callback=None) -> List[Any]:
""" Helper method for running 'execute_tasks' where all tasks uses the function. """
return execute_tasks(process_count, [(func, x) for x in data], shared=shared, callback=callback)
def progress(process_count: int, func: Any, data: List[Any], shared: Dict[str, Any] = {}) -> List[Any]:
"""
Helper method for running 'execute_tasks' where all tasks uses the function.
Displays a progress bar with tasks completed.
"""
with Progress(console=get_console(), transient=True, refresh_per_second=1) as progress:
task = progress.add_task(f"processing...", total=len(data))
def callback(command, *args):
if command == 'complete' or command == 'exception':
progress.update(task, advance=1)
return True
return execute_tasks(
process_count,
[(func, x) for x in data],
shared=shared,
callback=callback)
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