Stash the type string from remote errors

This is a draft of the `tractor` way to implement the example from the
"processs pool" in the stdlib's `concurrent.futures` docs:

https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor-example

Our runtime is of course slower to startup but once up we of course get
the same performance, this confirms that we need to focus some effort
not on warm up and teardown times.  The mp forkserver method definitely
improves startup delay; rolling our own will likely be a good hot spot
to play with.

What's really nice is our implementation is done in approx 10th the code ;)

Also, do we want offer and interface that yields results as they arrive?

Relates to #175

examples/actors/most_basic_supervisor.py

@@ -0,0 +1,86 @@
+import trio
+import tractor
+
+
+class Restart(Exception):
+    """Restart signal"""
+
+
+async def sleep_then_restart():
+    actor = tractor.current_actor()
+    print(f'{actor.uid} starting up!')
+    await trio.sleep(0.5)
+    raise Restart('This is a restart signal')
+
+
+async def signal_restart_whole_actor():
+    actor = tractor.current_actor()
+    print(f'{actor.uid} starting up!')
+    await trio.sleep(0.5)
+    return 'restart_me'
+
+
+async def respawn_remote_task(portal):
+    # start a task in the actor at the other end
+    # of the provided portal, when it signals a restart,
+    # restart it..
+
+    # This is much more efficient then restarting the undlerying
+    # process over and over since the python interpreter runtime
+    # stays up and we just submit a new task to run (which
+    # is just the original one we submitted repeatedly.
+    while True:
+        try:
+            await portal.run(sleep_then_restart)
+        except tractor.RemoteActorError as error:
+            if 'Restart' in str(error):
+                # respawn the actor task
+                continue
+
+
+async def supervisor():
+
+    async with tractor.open_nursery() as tn:
+
+        p0 = await tn.start_actor('task_restarter', enable_modules=[__name__])
+
+        # Yes, you can do this from multiple tasks on one actor
+        # or mulitple lone tasks in multiple subactors.
+        # We'll show both.
+
+        async with trio.open_nursery() as n:
+            # we'll doe the first as a lone task restart in a daemon actor
+            for i in range(4):
+                n.start_soon(respawn_remote_task, p0)
+
+            # Open another nursery that will respawn sub-actors
+
+            # spawn a set of subactors that will signal restart
+            # of the group of processes on each failures
+            portals = []
+
+            # start initial subactor set
+            for i in range(4):
+                p = await tn.run_in_actor(signal_restart_whole_actor)
+                portals.append(p)
+
+            # now wait on results and respawn actors
+            # that request it
+            while True:
+
+                for p in portals:
+                    result = await p.result()
+
+                    if result == 'restart_me':
+                        print(f'restarting {p.channel.uid}')
+                        await p.cancel_actor()
+                        await trio.sleep(0.5)
+                        p = await tn.run_in_actor(signal_restart_whole_actor)
+                        portals.append(p)
+
+    # this will block indefinitely so user must
+    # cancel with ctrl-c
+
+
+if __name__ == '__main__':
+    trio.run(supervisor)

examples/actors/mutate_remote_state.py

@@ -0,0 +1,64 @@
+from itertools import cycle
+from pprint import pformat
+from dataclasses import dataclass, field
+
+import trio
+import tractor
+
+
+@dataclass
+class MyProcessStateThing:
+    state: dict = field(default_factory=dict)
+
+    def update(self, msg: dict):
+        self.state.update(msg)
+
+
+_actor_state = MyProcessStateThing()
+
+
+async def update_local_state(msg: dict):
+    """Update process-local state from sent message and exit.
+
+    """
+    actor = tractor.current_actor()
+
+    global _actor_state
+
+
+    print(f'Yo we got a message {msg}')
+
+    # update the "actor state"
+    _actor_state.update(msg)
+
+    print(f'New local "state" for {actor.uid} is {pformat(_actor_state.state)}')
+
+    # we're done so exit this task running in the subactor
+
+
+async def main():
+    # Main process/thread that spawns one sub-actor and sends messages
+    # to it to update it's state.
+
+    actor_portals = []
+
+    # XXX: that subactor can **not** outlive it's parent, this is SC.
+    async with tractor.open_nursery() as tn:
+
+        portal = await tn.start_actor('even_boy', enable_modules=[__name__])
+        actor_portals.append(portal)
+
+        portal = await tn.start_actor('odd_boy', enable_modules=[__name__])
+        actor_portals.append(portal)
+
+        for i, (count, portal) in enumerate(
+            zip(range(100), cycle(actor_portals))
+        ):
+            await portal.run(update_local_state, msg={f'msg_{i}': count})
+
+    # blocks here indefinitely synce we spawned "daemon actors" using
+    # .start_actor()`, you'll need to control-c to cancel.
+
+
+if __name__ == '__main__':
+    trio.run(main)

examples/actors/ray_style_classes.py

@@ -0,0 +1,153 @@
+import inspect
+from typing import Any
+from functools import partial
+from contextlib import asynccontextmanager, AsyncExitStack
+from itertools import cycle
+from pprint import pformat
+
+import trio
+import tractor
+
+
+log = tractor.log.get_logger(__name__)
+
+
+class ActorState:
+    """Singlteton actor per process.
+
+    """
+    # this is a class defined variable and is thus both
+    # singleton across object instances and task safe.
+    state: dict = {}
+
+    def update(self, msg: dict) -> None:
+        _actor = tractor.current_actor()
+
+        print(f'Yo we got a message {msg}')
+        self.state.update(msg)
+
+        print(f'New local "state" for {_actor.uid} is {pformat(self.state)}')
+
+    def close(self):
+        # gives headers showing which process and task is active
+        log.info('Actor state is closing')
+
+    # if we wanted to support spawning or talking to other
+    # actors we can do that using a portal map collection?
+    # _portals: dict = {}
+
+
+async def _run_proxy_method(
+    meth: str,
+    msg: dict,
+) -> Any:
+    """Update process-local state from sent message and exit.
+
+    """
+    # Create a new actor instance per call.
+    # We can make this persistent by storing it either
+    # in a global var or are another clas scoped variable?
+    # If you want it somehow persisted in another namespace
+    # I'd be interested to know "where".
+    actor = ActorState()
+    if meth != 'close':
+        return getattr(actor, meth)(msg)
+    else:
+        actor.close()
+
+    # we're done so exit this task running in the subactor
+
+
+class MethodProxy:
+    def __init__(
+        self,
+        portal: tractor._portal.Portal
+    ) -> None:
+        self._portal = portal
+
+    async def _run_method(
+        self,
+        *,
+        meth: str,
+        msg: dict,
+    ) -> Any:
+        return await self._portal.run(
+            _run_proxy_method,
+            meth=meth,
+            msg=msg
+        )
+
+
+def get_method_proxy(portal, target=ActorState) -> MethodProxy:
+
+    proxy = MethodProxy(portal)
+
+    # mock all remote methods
+    for name, method in inspect.getmembers(
+        target, predicate=inspect.isfunction
+    ):
+        if '_' == name[0]:
+            # skip private methods
+            continue
+
+        else:
+            setattr(proxy, name, partial(proxy._run_method, meth=name))
+
+    return proxy
+
+
+@asynccontextmanager
+async def spawn_proxy_actor(name):
+
+    # XXX: that subactor can **not** outlive it's parent, this is SC.
+    async with tractor.open_nursery(
+        debug_mode=True,
+        # loglevel='info',
+    ) as tn:
+
+        portal = await tn.start_actor(name, enable_modules=[__name__])
+
+        proxy = get_method_proxy(portal)
+
+        yield proxy
+
+        await proxy.close(msg=None)
+
+
+async def main():
+    # Main process/thread that spawns one sub-actor and sends messages
+    # to it to update it's state.
+
+    try:
+        stack = AsyncExitStack()
+
+        actors = []
+        for name in ['even', 'odd']:
+
+            actor_proxy = await stack.enter_async_context(
+                    spawn_proxy_actor(name + '_boy')
+            )
+            actors.append(actor_proxy)
+
+        # spin through the actors and update their states
+        for i, (count, actor) in enumerate(
+            zip(range(100), cycle(actors))
+        ):
+            # Here we call the locally patched `.update()` method of the
+            # remote instance
+
+            # NOTE: the instance created each call here is currently
+            # a new object - to persist it across `portal.run()` calls
+            # we need to store it somewhere in memory for access by
+            # a new task spawned in the remote actor process.
+            await actor.update(msg={f'msg_{i}': count})
+
+    # blocks here indefinitely synce we spawned "daemon actors" using
+    # .start_actor()`, you'll need to control-c to cancel.
+
+    finally:
+        await stack.aclose()
+
+
+if __name__ == '__main__':
+    trio.run(main)

examples/parallelism/concurrent_actors_primes.py

@@ -0,0 +1,119 @@
+"""
+Demonstration of the prime number detector example from the
+``concurrent.futures`` docs:
+
+https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor-example
+
+This uses no extra threads, fancy semaphores or futures; all we need 
+is ``tractor``'s channels.
+
+"""
+from contextlib import asynccontextmanager
+from typing import List, Callable
+import itertools
+import math
+import time
+
+import tractor
+import trio
+from async_generator import aclosing
+
+
+PRIMES = [
+    112272535095293,
+    112582705942171,
+    112272535095293,
+    115280095190773,
+    115797848077099,
+    1099726899285419,
+]
+
+
+def is_prime(n):
+    if n < 2:
+        return False
+    if n == 2:
+        return True
+    if n % 2 == 0:
+        return False
+
+    sqrt_n = int(math.floor(math.sqrt(n)))
+    for i in range(3, sqrt_n + 1, 2):
+        if n % i == 0:
+            return False
+    return True
+
+
+@asynccontextmanager
+async def worker_pool(workers=4):
+    """Though it's a trivial special case for ``tractor``, the well
+    known "worker pool" seems to be the defacto "but, I want this
+    process pattern!" for most parallelism pilgrims.
+
+    Yes, the workers stay alive (and ready for work) until you close
+    the context.
+    """
+    async with tractor.open_nursery() as tn:
+
+        portals = []
+        snd_chan, recv_chan = trio.open_memory_channel(len(PRIMES))
+
+        for i in range(workers):
+
+            # this starts a new sub-actor (process + trio runtime) and
+            # stores it's "portal" for later use to "submit jobs" (ugh).
+            portals.append(
+                await tn.start_actor(
+                    f'worker_{i}',
+                    enable_modules=[__name__],
+                )
+            )
+
+        async def _map(
+            worker_func: Callable[[int], bool],
+            sequence: List[int]
+        ) -> List[bool]:
+
+            # define an async (local) task to collect results from workers
+            async def send_result(func, value, portal):
+                await snd_chan.send((value, await portal.run(func, n=value)))
+
+            async with trio.open_nursery() as n:
+
+                for value, portal in zip(sequence, itertools.cycle(portals)):
+                    n.start_soon(
+                        send_result,
+                        worker_func,
+                        value,
+                        portal
+                    )
+
+                # deliver results as they arrive
+                for _ in range(len(sequence)):
+                    yield await recv_chan.receive()
+
+        # deliver the parallel "worker mapper" to user code
+        yield _map
+
+        # tear down all "workers" on pool close
+        await tn.cancel()
+
+
+async def main():
+
+    async with worker_pool() as actor_map:
+
+        start = time.time()
+
+        async with aclosing(actor_map(is_prime, PRIMES)) as results:
+            async for number, prime in results:
+
+                print(f'{number} is prime: {prime}')
+
+        print(f'processing took {time.time() - start} seconds')
+
+
+if __name__ == '__main__':
+    start = time.time()
+    trio.run(main)
+    print(f'script took {time.time() - start} seconds')

examples/parallelism/concurrent_futures_primes.py

@@ -0,0 +1,40 @@
+import time
+import concurrent.futures
+import math
+
+PRIMES = [
+    112272535095293,
+    112582705942171,
+    112272535095293,
+    115280095190773,
+    115797848077099,
+    1099726899285419]
+
+def is_prime(n):
+    if n < 2:
+        return False
+    if n == 2:
+        return True
+    if n % 2 == 0:
+        return False
+
+    sqrt_n = int(math.floor(math.sqrt(n)))
+    for i in range(3, sqrt_n + 1, 2):
+        if n % i == 0:
+            return False
+    return True
+
+def main():
+    with concurrent.futures.ProcessPoolExecutor() as executor:
+        start = time.time()
+
+        for number, prime in zip(PRIMES, executor.map(is_prime, PRIMES)):
+            print('%d is prime: %s' % (number, prime))
+
+        print(f'processing took {time.time() - start} seconds')
+
+if __name__ == '__main__':
+
+    start = time.time()
+    main()
+    print(f'script took {time.time() - start} seconds')

examples/parallelism/we_are_processes.py

@@ -0,0 +1,37 @@
+"""
+Run with a process monitor from a terminal using:
+$TERM -e watch -n 0.1  "pstree -a $$" & python examples/parallelism/we_are_processes.py && kill $!
+
+"""
+from multiprocessing import cpu_count
+import os
+
+import tractor
+import trio
+
+
+async def target():
+    print(f"Yo, i'm '{tractor.current_actor().name}' "
+          f"running in pid {os.getpid()}")
+    await trio.sleep_forever()
+
+
+async def main():
+
+    async with tractor.open_nursery() as n:
+
+        for i in range(cpu_count()):
+            await n.run_in_actor(target, name=f'worker_{i}')
+
+        print('This process tree will self-destruct in 1 sec...')
+        await trio.sleep(1)
+
+        # you could have done this yourself
+        raise Exception('Self Destructed')
+
+
+if __name__ == '__main__':
+    try:
+        trio.run(main)
+    except Exception:
+        print('Zombies Contained')

tests/test_docs_examples.py

@@ -78,13 +78,13 @@ def run_example_in_subproc(loglevel, testdir, arb_addr):
 
 @pytest.mark.parametrize(
     'example_script',
-    [
+
-        f for f in os.listdir(examples_dir())
+    # walk yields: (dirpath, dirnames, filenames)
-        if (
+    [(p[0], f) for p in os.walk(examples_dir()) for f in p[2]
-            ('__' not in f) and
+
-            ('debugging' not in f)
+        if '__' not in f
-        )
+        and 'debugging' not in p[0]
-    ],
+    ]
 )
 def test_example(run_example_in_subproc, example_script):
     """Load and run scripts from this repo's ``examples/`` dir as a user
@@ -95,7 +95,7 @@ def test_example(run_example_in_subproc, example_script):
     test directory and invoke the script as a module with ``python -m
     test_example``.
     """
-    ex_file = os.path.join(examples_dir(), example_script)
+    ex_file = os.path.join(*example_script)
     with open(ex_file, 'r') as ex:
         code = ex.read()
 

tractor/_exceptions.py

@@ -17,6 +17,8 @@ class RemoteActorError(Exception):
     "Remote actor exception bundled locally"
     def __init__(self, message, type_str, **msgdata) -> None:
         super().__init__(message)
+        self.type_str = type_str
+
         for ns in [builtins, _this_mod, trio]:
             try:
                 self.type = getattr(ns, type_str)

tractor/_forkserver_override.py

@@ -6,6 +6,8 @@ semaphore tracker per ``MainProcess``.
 .. note:: There is no type hinting in this code base (yet) to remain as
           a close as possible to upstream.
 """
+# type: ignore
+
 import os
 import socket
 import signal

tractor/_mp_fixup_main.py

@@ -67,7 +67,7 @@ def _fixup_main_from_name(mod_name: str) -> None:
     main_module = types.ModuleType("__mp_main__")
     main_content = runpy.run_module(mod_name,
                                     run_name="__mp_main__",
-                                    alter_sys=True)
+                                    alter_sys=True)  # type: ignore
     main_module.__dict__.update(main_content)
     sys.modules['__main__'] = sys.modules['__mp_main__'] = main_module
 
@@ -95,6 +95,6 @@ def _fixup_main_from_path(main_path: str) -> None:
     # old_main_modules.append(current_main)
     main_module = types.ModuleType("__mp_main__")
     main_content = runpy.run_path(main_path,
-                                  run_name="__mp_main__")
+                                  run_name="__mp_main__")  # type: ignore
     main_module.__dict__.update(main_content)
     sys.modules['__main__'] = sys.modules['__mp_main__'] = main_module