indigo
ec5f52c7c6
Bundles debugpy 1.7.0 directly in python/ so "Maya: Attach (debugpy)" works with no per-machine pip install step. Installed via Maya 2022's own pip so it resolved a version actually compatible with Python 3.7 (Maya 2022's interpreter), then verified import + listen() succeeds under all three target Maya Python versions (3.7/3.9/3.10). Also fixes a latent __file__-under-exec() bug in start_debug_server.py (same pitfall as Maya's own plugin loader, never hit until this exercised it) and corrects the README's Maya Python version claim -- 2022 ships Python 3.7, not 3.9 as previously stated, which was never independently verified until now. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License. See LICENSE in the project root
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# for license information.
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"""Provides facilities to dump all stacks of all threads in the process.
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"""
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import os
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import sys
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import time
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import threading
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import traceback
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from debugpy.common import log
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def dump():
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"""Dump stacks of all threads in this process, except for the current thread."""
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tid = threading.current_thread().ident
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pid = os.getpid()
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log.info("Dumping stacks for process {0}...", pid)
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for t_ident, frame in sys._current_frames().items():
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if t_ident == tid:
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continue
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for t in threading.enumerate():
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if t.ident == tid:
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t_name = t.name
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t_daemon = t.daemon
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break
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else:
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t_name = t_daemon = "<unknown>"
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stack = "".join(traceback.format_stack(frame))
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log.info(
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"Stack of thread {0} (tid={1}, pid={2}, daemon={3}):\n\n{4}",
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t_name,
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t_ident,
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pid,
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t_daemon,
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stack,
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)
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log.info("Finished dumping stacks for process {0}.", pid)
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def dump_after(secs):
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"""Invokes dump() on a background thread after waiting for the specified time."""
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def dumper():
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time.sleep(secs)
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try:
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dump()
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except:
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log.swallow_exception()
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thread = threading.Thread(target=dumper)
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thread.daemon = True
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thread.start()
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