proxy.core.work.fd.remote module

proxy.py

⚡⚡⚡ Fast, Lightweight, Pluggable, TLS interception capable proxy server focused on Network monitoring, controls & Application development, testing, debugging.

copyright

3. 2013-present by Abhinav Singh and contributors.

license

BSD, see LICENSE for more details.

class proxy.core.work.fd.remote.RemoteFdExecutor(*args: Any, **kwargs: Any)

Bases: proxy.core.work.fd.fd.ThreadlessFdExecutor[multiprocessing.connection.Connection]

A threadless executor implementation which receives work over a connection.

NOTE: RemoteExecutor uses recv_handle to accept file descriptors.

TODO: Refactor and abstract recv_handle part so that a threaded remote executor can also accept work over a connection. Currently, remote executors must be running in a process.

_abc_impl = <_abc._abc_data object>

_loop: Optional[asyncio.AbstractEventLoop]

_total: int

_upstream_conn_filenos: Set[int]

_upstream_conn_pool: Optional['UpstreamConnectionPool']

cleanup_inactive_timeout: float

close_work_queue() → None

Only called if work_queue_fileno returns an integer. If an fd is select-able for work queue, make sure to close the work queue fd now.

property loop: Optional[asyncio.events.AbstractEventLoop]

receive_from_work_queue() → bool

Work queue is ready to receive new work.

Receive it and call work_on_tcp_conn.

Return True to tear down the loop.

registered_events_by_work_ids: Dict[int, SelectableEvents]

selector: Optional[selectors.DefaultSelector]

unfinished: Set['asyncio.Task[bool]']

wait_timeout: float

work_queue_fileno() → Optional[int]

If work queue must be selected before calling receive_from_work_queue then implementation must return work queue fd.

works: Dict[int, 'Work[Any]']