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Merge branch 'ensure-unique-subprocess-reference-ids'
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PeterJCLaw committed Jul 4, 2024
2 parents b69d4d8 + a67deeb commit e839683
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15 changes: 13 additions & 2 deletions jedi/api/environment.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,13 +8,18 @@
import filecmp
from collections import namedtuple
from shutil import which
from typing import TYPE_CHECKING

from jedi.cache import memoize_method, time_cache
from jedi.inference.compiled.subprocess import CompiledSubprocess, \
InferenceStateSameProcess, InferenceStateSubprocess

import parso

if TYPE_CHECKING:
from jedi.inference import InferenceState


_VersionInfo = namedtuple('VersionInfo', 'major minor micro') # type: ignore[name-match]

_SUPPORTED_PYTHONS = ['3.12', '3.11', '3.10', '3.9', '3.8', '3.7', '3.6']
Expand Down Expand Up @@ -102,7 +107,10 @@ def __repr__(self):
version = '.'.join(str(i) for i in self.version_info)
return '<%s: %s in %s>' % (self.__class__.__name__, version, self.path)

def get_inference_state_subprocess(self, inference_state):
def get_inference_state_subprocess(
self,
inference_state: 'InferenceState',
) -> InferenceStateSubprocess:
return InferenceStateSubprocess(inference_state, self._get_subprocess())

@memoize_method
Expand Down Expand Up @@ -134,7 +142,10 @@ class SameEnvironment(_SameEnvironmentMixin, Environment):


class InterpreterEnvironment(_SameEnvironmentMixin, _BaseEnvironment):
def get_inference_state_subprocess(self, inference_state):
def get_inference_state_subprocess(
self,
inference_state: 'InferenceState',
) -> InferenceStateSameProcess:
return InferenceStateSameProcess(inference_state)

def get_sys_path(self):
Expand Down
157 changes: 139 additions & 18 deletions jedi/inference/compiled/subprocess/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,23 @@
1. Making it safer - Segfaults and RuntimeErrors as well as stdout/stderr can
be ignored and dealt with.
2. Make it possible to handle different Python versions as well as virtualenvs.
The architecture here is briefly:
- For each Jedi `Environment` there is a corresponding subprocess which
operates within the target environment. If the subprocess dies it is replaced
at this level.
- `CompiledSubprocess` manages exactly one subprocess and handles communication
from the parent side.
- `Listener` runs within the subprocess, processing each request and yielding
results.
- `InterpreterEnvironment` provides an API which matches that of `Environment`,
but runs functionality inline rather than within a subprocess. It is thus
used both directly in places where a subprocess is unnecessary and/or
undesirable and also within subprocesses themselves.
- `InferenceStateSubprocess` (or `InferenceStateSameProcess`) provide high
level access to functionality within the subprocess from within the parent.
Each `InterpreterState` has an instance of one of these, provided by its
environment.
"""

import collections
Expand All @@ -16,6 +33,7 @@
import weakref
from functools import partial
from threading import Thread
from typing import Dict, TYPE_CHECKING

from jedi._compatibility import pickle_dump, pickle_load
from jedi import debug
Expand All @@ -25,6 +43,9 @@
SignatureParam
from jedi.api.exceptions import InternalError

if TYPE_CHECKING:
from jedi.inference import InferenceState


_MAIN_PATH = os.path.join(os.path.dirname(__file__), '__main__.py')
PICKLE_PROTOCOL = 4
Expand Down Expand Up @@ -83,10 +104,9 @@ def _cleanup_process(process, thread):


class _InferenceStateProcess:
def __init__(self, inference_state):
def __init__(self, inference_state: 'InferenceState') -> None:
self._inference_state_weakref = weakref.ref(inference_state)
self._inference_state_id = id(inference_state)
self._handles = {}
self._handles: Dict[int, AccessHandle] = {}

def get_or_create_access_handle(self, obj):
id_ = id(obj)
Expand Down Expand Up @@ -116,19 +136,57 @@ def __getattr__(self, name):


class InferenceStateSubprocess(_InferenceStateProcess):
def __init__(self, inference_state, compiled_subprocess):
"""
API to functionality which will run in a subprocess.
This mediates the interaction between an `InferenceState` and the actual
execution of functionality running within a `CompiledSubprocess`. Available
functions are defined in `.functions`, though should be accessed via
attributes on this class of the same name.
This class is responsible for indicating that the `InferenceState` within
the subprocess can be removed once the corresponding instance in the parent
goes away.
"""

def __init__(
self,
inference_state: 'InferenceState',
compiled_subprocess: 'CompiledSubprocess',
) -> None:
super().__init__(inference_state)
self._used = False
self._compiled_subprocess = compiled_subprocess

# Opaque id we'll pass to the subprocess to identify the context (an
# `InferenceState`) which should be used for the request. This allows us
# to make subsequent requests which operate on results from previous
# ones, while keeping a single subprocess which can work with several
# contexts in the parent process. Once it is no longer needed(i.e: when
# this class goes away), we also use this id to indicate that the
# subprocess can discard the context.
#
# Note: this id is deliberately coupled to this class (and not to
# `InferenceState`) as this class manages access handle mappings which
# must correspond to those in the subprocess. This approach also avoids
# race conditions from successive `InferenceState`s with the same object
# id (as observed while adding support for Python 3.13).
#
# This value does not need to be the `id()` of this instance, we merely
# need to ensure that it enables the (visible) lifetime of the context
# within the subprocess to match that of this class. We therefore also
# depend on the semantics of `CompiledSubprocess.delete_inference_state`
# for correctness.
self._inference_state_id = id(self)

def __getattr__(self, name):
func = _get_function(name)

def wrapper(*args, **kwargs):
self._used = True

result = self._compiled_subprocess.run(
self._inference_state_weakref(),
self._inference_state_id,
func,
args=args,
kwargs=kwargs,
Expand Down Expand Up @@ -164,6 +222,17 @@ def __del__(self):


class CompiledSubprocess:
"""
A subprocess which runs inference within a target environment.
This class manages the interface to a single instance of such a process as
well as the lifecycle of the process itself. See `.__main__` and `Listener`
for the implementation of the subprocess and details of the protocol.
A single live instance of this is maintained by `jedi.api.environment.Environment`,
so that typically a single subprocess is used at a time.
"""

is_crashed = False

def __init__(self, executable, env_vars=None):
Expand Down Expand Up @@ -213,18 +282,18 @@ def _get_process(self):
t)
return process

def run(self, inference_state, function, args=(), kwargs={}):
def run(self, inference_state_id, function, args=(), kwargs={}):
# Delete old inference_states.
while True:
try:
inference_state_id = self._inference_state_deletion_queue.pop()
delete_id = self._inference_state_deletion_queue.pop()
except IndexError:
break
else:
self._send(inference_state_id, None)
self._send(delete_id, None)

assert callable(function)
return self._send(id(inference_state), function, args, kwargs)
return self._send(inference_state_id, function, args, kwargs)

def get_sys_path(self):
return self._send(None, functions.get_sys_path, (), {})
Expand Down Expand Up @@ -272,21 +341,65 @@ def _send(self, inference_state_id, function, args=(), kwargs={}):

def delete_inference_state(self, inference_state_id):
"""
Currently we are not deleting inference_state instantly. They only get
deleted once the subprocess is used again. It would probably a better
solution to move all of this into a thread. However, the memory usage
of a single inference_state shouldn't be that high.
Indicate that an inference state (in the subprocess) is no longer
needed.
The state corresponding to the given id will become inaccessible and the
id may safely be re-used to refer to a different context.
Note: it is not guaranteed that the corresponding state will actually be
deleted immediately.
"""
# With an argument - the inference_state gets deleted.
# Warning: if changing the semantics of context deletion see the comment
# in `InferenceStateSubprocess.__init__` regarding potential race
# conditions.

# Currently we are not deleting the related state instantly. They only
# get deleted once the subprocess is used again. It would probably a
# better solution to move all of this into a thread. However, the memory
# usage of a single inference_state shouldn't be that high.
self._inference_state_deletion_queue.append(inference_state_id)


class Listener:
"""
Main loop for the subprocess which actually does the inference.
This class runs within the target environment. It listens to instructions
from the parent process, runs inference and returns the results.
The subprocess has a long lifetime and is expected to process several
requests, including for different `InferenceState` instances in the parent.
See `CompiledSubprocess` for the parent half of the system.
Communication is via pickled data sent serially over stdin and stdout.
Stderr is read only if the child process crashes.
The request protocol is a 4-tuple of:
* inference_state_id | None: an opaque identifier of the parent's
`InferenceState`. An `InferenceState` operating over an
`InterpreterEnvironment` is created within this process for each of
these, ensuring that each parent context has a corresponding context
here. This allows context to be persisted between requests. Unless
`None`, the local `InferenceState` will be passed to the given function
as the first positional argument.
* function | None: the function to run. This is expected to be a member of
`.functions`. `None` indicates that the corresponding inference state is
no longer needed and should be dropped.
* args: positional arguments to the `function`. If any of these are
`AccessHandle` instances they will be adapted to the local
`InferenceState` before being passed.
* kwargs: keyword arguments to the `function`. If any of these are
`AccessHandle` instances they will be adapted to the local
`InferenceState` before being passed.
The result protocol is a 3-tuple of either:
* (False, None, function result): if the function returns without error, or
* (True, traceback, exception): if the function raises an exception
"""

def __init__(self):
self._inference_states = {}
# TODO refactor so we don't need to process anymore just handle
# controlling.
self._process = _InferenceStateProcess(Listener)

def _get_inference_state(self, function, inference_state_id):
from jedi.inference import InferenceState
Expand All @@ -308,6 +421,9 @@ def _run(self, inference_state_id, function, args, kwargs):
if inference_state_id is None:
return function(*args, **kwargs)
elif function is None:
# Warning: if changing the semantics of context deletion see the comment
# in `InferenceStateSubprocess.__init__` regarding potential race
# conditions.
del self._inference_states[inference_state_id]
else:
inference_state = self._get_inference_state(function, inference_state_id)
Expand Down Expand Up @@ -348,7 +464,12 @@ def listen(self):


class AccessHandle:
def __init__(self, subprocess, access, id_):
def __init__(
self,
subprocess: _InferenceStateProcess,
access: DirectObjectAccess,
id_: int,
) -> None:
self.access = access
self._subprocess = subprocess
self.id = id_
Expand Down

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