Isolated the issue to the AnkiHub addon while running Anki for MacOS (23.12.1 Qt6). Anki fails to open when the add-on is running.
1 Like
I am having a similar issue, that I also have narrowed down to the ankihub add-on itself.
Came to second this. FWIW I was able to reproduce the same bug on another machine running a different version of Anki.
The bug report is as follows (it’s all Greek to me, but maybe it’ll be helpful); I could only post a fraction of it as the entire bug report was far too long to post, FWIW:
Date/Time: 2024-02-28 18:09:41.813 -0500
End time: 2024-02-28 18:10:03.908 -0500
OS Version: macOS 14.2.1 (Build 23C71)
Architecture: arm64e
Report Version: 44
Incident Identifier: 46EE21FE-688F-412E-9DFB-88D90AFB79A2
Data Source: Stackshots
Shared Cache: F9DDD844-7F3F-34BD-BE29-F0C72D5E5449 slid base address 0x1866cc000, slide 0x66cc000 (System Primary)
Shared Cache: 2BF5B417-CD87-34D6-A876-2BBD0F25330F slid base address 0x1dfc08000, slide 0x5fc08000 (DriverKit)
Shared Cache: 2BF5B417-CD87-34D6-A876-2BBD0F25330F slid base address 0x1eae7c000, slide 0x6ae7c000 (DriverKit)
Shared Cache: AA32606F-3F8A-36DC-89AB-9C1BD7BF3104 slid base address 0x7ff8007a4000, slide 0x7a4000 (Rosetta)
Command: anki
Path: /Applications/anki-23.12.1-mac-apple-qt6.app/Contents/MacOS/anki
Identifier: net.ankiweb.dtop
Version: 23.12.1 (???)
Team ID: 7ZM8SLJM4P
Is First Party: No
Architecture: arm64
Parent: launchd [1]
PID: 1667
Time Since Fork: 20s
Event: hang
Duration: 22.09s
Duration Sampled: 4.30s (process was unresponsive for 18 seconds before sampling)
Steps: 43 (100ms sampling interval)
Hardware model: MacBookPro17,1
Active cpus: 8
HW page size: 16384
VM page size: 16384
Time Since Boot: 581s
Time Awake Since Boot: 581s
Time Since Wake: n/a (machine hasn’t slept)
Fan speed: 0 rpm
Total CPU Time: 7.084s (17.8G cycles, 29.7G instructions, 0.60c/i)
Advisory levels: Battery → 3, User → 2, ThermalPressure → 0, Combined → 2
Free disk space: 128.81 GB/228.27 GB, low space threshold 3072 MB
Vnodes Available: 72.81% (88174/121100, 82478 allocated)
Preferred User Language: en-US, es-US
Country Code: US
Keyboards: Spanish - ISO, ABC
OS Cryptex File Extents: 1
Timeline format: stacks are sorted chronologically
Use -i and -heavy to re-report with count sorting
Heaviest stack for the main thread of the target process:
43 start + 2360 (dyld + 24800) [0x1867890e0]
43 main + 1180 (anki + 24020) [0x1049e9dd4]
43 std::sys_common::backtrace::__rust_begin_short_backtrace::h654a6c9cd5039fff + 12 (anki + 16396) [0x1049e800c]
43 anki::main::h6f7efa0d73b239c5 + 1500 (anki + 19024) [0x1049e8a50]
43 Py_RunMain + 340 (anki + 2233500) [0x104c0549c]
43 PyRun_SimpleStringFlags + 64 (anki + 4248284) [0x104df12dc]
43 PyRun_StringFlags + 152 (anki + 4248504) [0x104df13b8]
43 run_mod + 152 (anki + 4251228) [0x104df1e5c]
43 PyEval_EvalCode + 80 (anki + 3907140) [0x104d9de44]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 20256 (anki + 3927656) [0x104da2e68]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 16432 (anki + 3923832) [0x104da1f78]
43 _PyFunction_Vectorcall + 720 (anki + 2885352) [0x104ca46e8]
43 _PyEval_EvalFrameDefault + 23972 (anki + 3931372) [0x104da3cec]
43 _PyObject_MakeTpCall + 136 (anki + 2880608) [0x104ca3460]
43 cfunction_call + 104 (anki + 3170052) [0x104ce9f04]
43 meth_QApplication_exec(_object*, _object*) + 96 (QtWidgets.abi3.so + 2508220) [0x1116b05bc]
43 QCoreApplication::exec() + 112 (QtCore + 440056) [0x10b8df6f8]
43 QEventLoop::exec(QFlagsQEventLoop::ProcessEventsFlag) + 532 (QtCore + 478412) [0x10b8e8ccc]
43 ??? (libqcocoa.dylib + 90868) [0x111cf22f4]
43 -[NSApplication run] + 476 (AppKit + 183632) [0x18a3b5d50]
43 -[NSApplication(NSEventRouting) _nextEventMatchingEventMask:untilDate:inMode:dequeue:] + 716 (AppKit + 8468864) [0x18ab9c980]
43 _DPSNextEvent + 660 (AppKit + 235684) [0x18a3c28a4]
43 _BlockUntilNextEventMatchingListInModeWithFilter + 76 (HIToolbox + 196572) [0x191193fdc]
43 ReceiveNextEventCommon + 220 (HIToolbox + 196824) [0x1911940d8]
43 RunCurrentEventLoopInMode + 292 (HIToolbox + 197704) [0x191194448]
43 CFRunLoopRunSpecific + 608 (CoreFoundation + 506284) [0x186be59ac]
43 __CFRunLoopRun + 828 (CoreFoundation + 508736) [0x186be6340]
43 __CFRunLoopDoSources0 + 340 (CoreFoundation + 513968) [0x186be77b0]
43 __CFRunLoopDoSource0 + 176 (CoreFoundation + 514528) [0x186be79e0]
43 CFRUNLOOP_IS_CALLING_OUT_TO_A_SOURCE0_PERFORM_FUNCTION + 28 (CoreFoundation + 514636) [0x186be7a4c]
43 ??? (libqcocoa.dylib + 87880) [0x111cf1748]
43 QTimerInfoList::activateTimers() + 944 (QtCore + 1938336) [0x10ba4d3a0]
43 QCoreApplication::notifyInternal2(QObject*, QEvent*) + 292 (QtCore + 438380) [0x10b8df06c]
43 sipQApplication::notify(QObject*, QEvent*) + 248 (QtWidgets.abi3.so + 1424420) [0x1115a7c24]
43 QApplication::notify(QObject*, QEvent*) + 512 (QtWidgets + 49500) [0x11089415c]
43 QApplicationPrivate::notify_helper(QObject*, QEvent*) + 272 (QtWidgets + 45816) [0x1108932f8]
43 QObject::event(QEvent*) + 88 (QtCore + 710000) [0x10b921570]
43 ??? (QtCore + 826048) [0x10b93dac0]
43 ??? (QtCore + 740752) [0x10b928d90]
43 PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 68 (QtCore.abi3.so + 1358368) [0x109843a20]
43 PyQtSlotProxy::unislot(void**) + 92 (QtCore.abi3.so + 1358512) [0x109843ab0]
43 PyQtSlot::invoke(void**, _object*, void*, bool) const + 296 (QtCore.abi3.so + 1354400) [0x109842aa0]
43 PyQtSlot::call(_object*, _object*) const + 68 (QtCore.abi3.so + 1354804) [0x109842c34]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 16432 (anki + 3923832) [0x104da1f78]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 16432 (anki + 3923832) [0x104da1f78]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 20256 (anki + 3927656) [0x104da2e68]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 23972 (anki + 3931372) [0x104da3cec]
43 _PyObject_MakeTpCall + 136 (anki + 2880608) [0x104ca3460]
43 slot_tp_call + 104 (anki + 3322280) [0x104d0f1a8]
43 _PyObject_Call_Prepend + 160 (anki + 2885948) [0x104ca493c]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 16432 (anki + 3923832) [0x104da1f78]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 16432 (anki + 3923832) [0x104da1f78]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 16432 (anki + 3923832) [0x104da1f78]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 17744 (anki + 3925144) [0x104da2498]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 17744 (anki + 3925144) [0x104da2498]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 16576 (anki + 3923976) [0x104da2008]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 16576 (anki + 3923976) [0x104da2008]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 1380 (anki + 3908780) [0x104d9e4ac]
43 PyObject_Call + 200 (anki + 2883920) [0x104ca4150]
43 slot_tp_call + 104 (anki + 3322280) [0x104d0f1a8]
43 _PyObject_Call_Prepend + 312 (anki + 2886100) [0x104ca49d4]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 1380 (anki + 3908780) [0x104d9e4ac]
43 PyObject_Call + 320 (anki + 2884040) [0x104ca41c8]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 16576 (anki + 3923976) [0x104da2008]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 1380 (anki + 3908780) [0x104d9e4ac]
43 PyObject_Call + 320 (anki + 2884040) [0x104ca41c8]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 16576 (anki + 3923976) [0x104da2008]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 1380 (anki + 3908780) [0x104d9e4ac]
43 PyObject_Call + 320 (anki + 2884040) [0x104ca41c8]
43 method_vectorcall + 128 (anki + 2894452) [0x104ca6a74]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 17744 (anki + 3925144) [0x104da2498]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 17744 (anki + 3925144) [0x104da2498]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 17744 (anki + 3925144) [0x104da2498]
43 _PyFunction_Vectorcall + 240 (anki + 2884872) [0x104ca4508]
43 _PyEval_EvalFrameDefault + 16576 (anki + 3923976) [0x104da2008]
43 _PyFunction_Vectorcall + 412 (anki + 2885044) [0x104ca45b4]
43 _PyEval_EvalCode + 532 (anki + 3945260) [0x104da732c]
43 _PyEval_EvalFrameDefault + 17744 (anki + 3925144) [0x104da2498]
43 method_vectorcall_O + 136 (anki + 2919884) [0x104cacdcc]
43 sock_connect + 112 (anki + 2565400) [0x104c56518]
32 internal_connect + 204 (anki + 2575736) [0x104c58d78]
32 sock_call_ex + 160 (anki + 2572168) [0x104c57f88]
32 poll + 8 (libsystem_kernel.dylib + 41452) [0x186ad21ec]
*32 ??? (kernel.release.t8103 + 31592) [0xfffffe000851fb68]
*32 ??? (kernel.release.t8103 + 1712068) [0xfffffe00086b9fc4]
*32 ??? (kernel.release.t8103 + 6810484) [0xfffffe0008b96b74]
*32 ??? (kernel.release.t8103 + 5792536) [0xfffffe0008a9e318]
*32 ??? (kernel.release.t8103 + 5405572) [0xfffffe0008a3fb84]
*32 ??? (kernel.release.t8103 + 578860) [0xfffffe00085a552c]
*32 ??? (kernel.release.t8103 + 585452) [0xfffffe00085a6eec]
Process: anki (Anki) [1667]
UUID: A478762F-93C4-3F43-99E4-07D82C9C2412
Path: /Applications/anki-23.12.1-mac-apple-qt6.app/Contents/MacOS/anki
Identifier: net.ankiweb.dtop
Version: 23.12.1 (???)
Team ID: 7ZM8SLJM4P
Is First Party: No
Shared Cache: F9DDD844-7F3F-34BD-BE29-F0C72D5E5449 slid base address 0x1866cc000, slide 0x66cc000 (System Primary)
Architecture: arm64
Parent: launchd [1]
UID: 501
Footprint: 141.58 MB
Time Since Fork: 20s
Num samples: 43 (1-43)
CPU Time: 0.002s (2.5M cycles, 1107.7K instructions, 2.28c/i)
Note: Unresponsive for 18 seconds before sampling
Note: 3 idle work queue threads omitted
1 Like
I tried posting my error message here, but I was unable to post it all here. Mine looks similar to this.
Thanks for sharing. We were trying to clean up a massive amount of unnecessary data on AnkiHub due to people uploading duplicate copies of the AnKing Step Deck which crashed the server. AnkiHub should be back up and running now. Please try again!
2 Likes
Could we mark the official deck with the AnKing logo or with an official sticker?
Just checked and there’s many many copies of the AnKing Step Deck?
1 Like
Yes, we should do that. But I’m working on deleting all of the others. and in the long run, blocking certain names in new decks.
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