A proof-of-concept serialization, transmission and restoring python runtime.
pyteleport is capable of making snapshots of python runtime from
(almost) aribtrary state, including locals, globals and stack.
It then transforms snapshots into specially designed bytecode that
resumes execution from the snapshot state.
The bytecode can be run remotely: this way pyteleport teleports
python runtime.
pip install pyteleport
Note that the two outputs were produced by different processes on different machines! This is what
tp_bash does: it transmits the runtime from one python process to another (remotely).
Also works from within a stack:
def a():
def b():
def c():
result = "hello" # runs locally
tp_bash(...) # teleport here
return result + " world" # runs remotely
return len(c()) + float("3.5") # c() runs locally, then remotely; the rest runs remotely
return 5 * (3 + b()) # b() runs locally, then remotely; sum and product run remotely
assert a() == 87.5 # a() runs locally, then remotely; == and assert run remotelyTBD, see docstrings for the moment
- You invoke
teleportin your python script. pyteleportcollects the runtime state: globals, locals, stack.pyteleportdumps the runtime into a specially designed "morph" bytecode which resumes from a state resembling current runtime state.- The bytecode is transmitted to the target environment and passed to a python interpreter there.
- The remote python runs the bytecode which restores the runtime state. The python program casually resumes from where it was interrupted.
- The local python runtime is terminated and simply pipes stdio from the target environment.
This is a proof of concept. The package works with cPython 3.9-3.14.
Current limitations:
- no thread support
- no
asyncsupport (needs further investigation regarding non-python stack) - more generally, no native code support
- back-teleport and nested teleport (never tried)
