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733 Commits (f173012fea121bb1af454f84dfadf64e7c1684e9)

Author SHA1 Message Date
Christian López Barrón 5fc51fd745 multi_program signal for windows missing SIGKILL, SIGINT 2019-03-13 21:32:45 +11:00
Christian López Barrón 2138d55a60 increased trio.sleep time for other actors to spawn 2019-03-13 21:32:45 +11:00
Christian López Barrón b992dc19e3 moved assert statement for name on try_set_start_method after its autoset 2019-03-13 21:32:45 +11:00
Christian López Barrón efffca371a pytest_generate_tests remove `fork` only if it's in list 2019-03-13 21:32:45 +11:00
Tyler Goodlet 63d067792c Rename `StreamQueue` to `MsgpackStream` 
Prepares for other possible interchange formats plus it wasn't really
a queue, just a TCP stream wrapper + `msgpack` interchange.
 2019-03-12 01:22:46 -04:00
tgoodlet 8c5337c5ca
Merge pull request #67 from tgoodlet/docs_example_fixes 
Docs example fixes
 2019-03-11 16:10:00 -04:00
tgoodlet ddf467acf5
Merge pull request #68 from tgoodlet/close_mem_chans 
Use "clean channel shutdown" in streaming example
 2019-03-11 16:09:00 -04:00
Tyler Goodlet 0b520c7bee Update streaming example in docs 2019-03-10 22:13:21 -04:00
Tyler Goodlet 9a780485dc Use "clean channel shutdown" in streaming example 
Resolves #65
 2019-03-10 22:08:50 -04:00
Tyler Goodlet 322145684b Pass an actor name to `main()` in discovery ex 
Resolves #41
 2019-03-10 15:59:59 -04:00
Tyler Goodlet e560322b9b Fix actor misnaming in 2nd spawning example 
Resolves #64
 2019-03-10 15:56:20 -04:00
goodboy c0276c85df
Merge pull request #61 from tgoodlet/spawn_method_support 
Spawn method support
 2019-03-08 20:11:40 -05:00
Tyler Goodlet b70f4eafcb Flip tests to use `start_method` kwarg 2019-03-08 20:06:16 -05:00
Tyler Goodlet c3daf73112 Document the mp start method more explicitly 2019-03-08 20:01:42 -05:00
Tyler Goodlet 8eb138b8a7 Add Windows *gotchas* section 
Resolves #61
 2019-03-07 18:28:22 -05:00
Tyler Goodlet 49b711fb5f Be more stingy about "actor model" 2019-03-06 22:57:27 -05:00
Tyler Goodlet dc5cc040e6 Try to support waiting on Windows processes 
This pokes around a little in `trio` hazmat but it *should
work* as it piggy backs on the new cross platform subprocess support.

Relates to #59
 2019-03-06 21:24:23 -05:00
Tyler Goodlet d6ca722bcc Sprinkle `spawn_method` fixture throughout tests 2019-03-06 00:37:02 -05:00
Tyler Goodlet 483ae42a46 Add a `spawn_method` dynamic fixture 2019-03-06 00:36:37 -05:00
Tyler Goodlet 7014a07986 Add "spawn" start method support 
Add full support for using the "spawn" process starting method as per:
https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods

Add a  `spawn_method` argument to `tractor.run()` for specifying the
desired method explicitly. By default use the "fastest" method available.
On *nix systems this is the original "forkserver" method.

This should be the solution to getting windows support!

Resolves #60
 2019-03-06 00:29:07 -05:00
Tyler Goodlet d75739e9c7 Factor process creation into a separate factory 
Make a `_spawn` module for encapsulating all the `multiprocessing`
"spawn method" stuff and factor current forkserver steps into it.
 2019-03-05 18:52:19 -05:00
goodboy a927966170
Merge pull request #56 from tgoodlet/trio_memchans 
Use trio memory channels!
 2019-02-20 21:24:47 -05:00
Tyler Goodlet fd4e126e1f Adjust streaming ex to use memory channel 2019-02-17 10:04:27 -05:00
Tyler Goodlet 78ddd33e3a Move to `trio.CancelScope` 2019-02-16 14:25:06 -05:00
Tyler Goodlet 02e0c0e1a4 `trio.ClosedResourceError is deprecated 2019-02-16 14:05:24 -05:00
Tyler Goodlet fe1c4dbc4c mpypy and docs fixups 2019-02-16 14:05:03 -05:00
Tyler Goodlet 85a0700716 Add back line that breaks with async gens 2019-02-15 22:10:55 -05:00
Tyler Goodlet 616192d853 Don't use async gen functions for the stream API 
As mentioned in prior commits there's currently a bug in Python that
make async gens **not** task safe. Since this is the core cause of almost
all recent problems, instead implement our own async iterator derivative of
`trio.abc.ReceiveChannel` by wrapping a `trio._channel.MemoryReceiveChannel`.
This fits more natively with the memory channel API in ``trio`` and adds
potentially more flexibility for possible bidirectional inter-actor streaming
in the future.

Huge thanks to @oremanj and of course @njsmith for guidance on this one!
 2019-02-15 21:59:42 -05:00
Tyler Goodlet b91d13cfea Use local actor var 2019-02-15 17:11:26 -05:00
Tyler Goodlet 51f082fff7 Use mem chan in streaming tests 2019-02-15 17:10:57 -05:00
Tyler Goodlet 41c202db68 Add a multi-task subscriber test 
In combination with `.aclose()`-ing the async gen instance returned from
`Portal.run()` this demonstrates the python bug:
https://bugs.python.org/issue32526

I've commented out the line that triggers the bug for now since this
case provides motivation for adding our own `trio.abc.ReceiveMemoryChannel`
implementation to be used instead of async gens directly (returned from
`Portal.run()`) since the latter is **not** task safe.
 2019-02-15 17:04:41 -05:00
Tyler Goodlet 61680b3729 Use a receive mem channel inside portals 
For now stop `.aclose()`-ing all async gens on portal close since it can
cause hangs and other weird behaviour if another task operates on the
same instance.

See https://bugs.python.org/issue32526.
 2019-02-15 16:27:18 -05:00
Tyler Goodlet f44ac4528a Use mem chan in actor core 2019-02-15 16:23:58 -05:00
Tyler Goodlet b42e118e89 Go 3.7 since dataclasses 2019-02-14 13:08:37 -05:00
goodboy 977eaedb0b
Merge pull request #52 from tgoodlet/contexts 
Contexts and Pub-Sub
 2019-01-25 00:49:07 -05:00
Tyler Goodlet b0b35284f4 Add call/decorate time type checking tests 2019-01-25 00:13:13 -05:00
Tyler Goodlet 3d0de25f93 Do proper `wrapt` arg extraction for type checking 
Use an inner function / closure to properly process required arguments
at call time as is recommended in the `wrap` docs. Do async gen and
arg introspection at decorate time and raise appropriate type errors.
 2019-01-25 00:10:13 -05:00
Tyler Goodlet 1b405ab4fe s/tickers/topics 2019-01-23 22:35:59 -05:00
Tyler Goodlet 2b1e8773bb Verify subs topics at each step 2019-01-23 22:35:04 -05:00
Tyler Goodlet 7675b01722 Drop py3.6 since we're using @dataclass 2019-01-23 20:02:51 -05:00
Tyler Goodlet 3b19e15306 Don't allow cancelling a cancel_task() task 2019-01-23 20:01:29 -05:00
Tyler Goodlet 855f959768 Don't log traceback on kb interrupt 2019-01-23 20:00:57 -05:00
Tyler Goodlet 9f41297298 Timeout on remote task cancellation 
Turns out you get a bad situation if the target actor who's task you're
trying to cancel has already died (eg. from an external
`KeyboardInterrupt` or other error) and so we need to eventually bail on
the RPC request. Also don't bother closing the channel created in
`open_portal()` manually since the cancel scope should take care of all
that.
 2019-01-23 19:20:13 -05:00
Tyler Goodlet 226312042a Fix type annots 2019-01-23 00:41:45 -05:00
Tyler Goodlet 36ee6695fb Add initial pubsub test 2019-01-21 12:31:03 -05:00
Tyler Goodlet 1e18c70ad1 Fix func name mismatch 2019-01-21 12:07:58 -05:00
Tyler Goodlet 5e5c917081 Fix run_in_excutor() link 2019-01-21 11:59:44 -05:00
Tyler Goodlet 19349f8cff Add TOC and examples subsections 2019-01-21 11:56:33 -05:00
Tyler Goodlet 276782eb45 Add context examples 2019-01-21 11:50:02 -05:00
Tyler Goodlet b6cc1e8c22 More pub decorator improvements 
- when calling the async gen func provided by the user wrap it in
  `@async_generator.aclosing` to ensure correct teardown at cancel time
- expect the gen to yield a dict with topic keys and data values
- add a `packetizer` function argument to the api allowing a user
  to format the data to be published in whatever way desired
- support using the decorator without the parentheses (using default
  arguments)
- use a `wrapt` "adapter" to override the signature presented to the
  `_actor._invoke` inspection machinery
- handle the default case where `tasks` isn't provided; allow only one
  concurrent publisher task
- store task locks in an actor local variable
- add a comprehensive doc string
 2019-01-21 09:21:12 -05:00