The window pops up, but if I click on anything, it shuts down. I have a 2021 Macbook Pro. Here's the error from the popup window:

Process: app [36171]
Path: /Applications/ssmtool.app/Contents/MacOS/app
Identifier: ssmtool
Version: ???
Code Type: X86-64 (Translated)
Parent Process: ??? [1]
Responsible: app [36171]
User ID: 501

Date/Time: 2022-01-23 01:02:57.146 -0600
OS Version: macOS 11.6 (20G165)
Report Version: 12
Anonymous UUID: BE5C1ACF-8214-33B0-3DD5-113A693157FB

Sleep/Wake UUID: B5AC5217-AF8D-4343-A417-E6E11FDFC108

Time Awake Since Boot: 1400000 seconds
Time Since Wake: 13000 seconds

System Integrity Protection: enabled

Crashed Thread: 0 Dispatch queue: com.apple.main-thread

Exception Type: EXC_CRASH (SIGABRT)
Exception Codes: 0x0000000000000000, 0x0000000000000000
Exception Note: EXC_CORPSE_NOTIFY

Application Specific Information:
abort() called

Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 ??? 0x00007ffe946be8f4 ???
1 libsystem_kernel.dylib 0x00007fff2045f92e __pthread_kill + 10
2 libsystem_c.dylib 0x00007fff203e3406 abort + 125
3 QtCore 0x000000010e2bc529 qt_message_fatal(QtMsgType, QMessageLogContext const&, QString const&) + 9
4 QtCore 0x000000010e2bdc74 QMessageLogger::fatal(char const*, ...) const + 202
5 QtCore.abi3.so 0x000000010dd46477 pyqt5_err_print() + 743
6 sip.cpython-39-darwin.so 0x0000000110f17a66 sip_api_call_procedure_method + 294
7 QtWidgets.abi3.so 0x0000000111052f58 sipQMainWindow::focusInEvent(QFocusEvent*) + 104
8 QtWidgets 0x0000000111c86f88 QWidget::event(QEvent*) + 840
9 QtWidgets 0x0000000111d9aa35 QMainWindow::event(QEvent*) + 277
10 QtWidgets.abi3.so 0x000000011105233f sipQMainWindow::event(QEvent*) + 191
11 QtWidgets 0x0000000111c4c9ea QApplicationPrivate::notify_helper(QObject*, QEvent*) + 266
12 QtWidgets 0x0000000111c4de11 QApplication::notify(QObject*, QEvent*) + 497
13 QtWidgets.abi3.so 0x0000000111100019 sipQApplication::notify(QObject*, QEvent*) + 233
14 QtCore 0x000000010e49ca34 QCoreApplication::notifyInternal2(QObject*, QEvent*) + 212
15 QtWidgets 0x0000000111c4a197 QApplicationPrivate::setFocusWidget(QWidget*, Qt::FocusReason) + 375
16 QtWidgets 0x0000000111c82add QWidget::setFocus(Qt::FocusReason) + 637
17 QtWidgets 0x0000000111c50b11 QApplicationPrivate::giveFocusAccordingToFocusPolicy(QWidget*, QEvent*, QPoint) + 625
18 QtWidgets 0x0000000111c4e986 QApplication::notify(QObject*, QEvent*) + 3430
19 QtWidgets.abi3.so 0x0000000111100019 sipQApplication::notify(QObject*, QEvent*) + 233
20 QtCore 0x000000010e49ca34 QCoreApplication::notifyInternal2(QObject*, QEvent*) + 212
21 QtWidgets 0x0000000111c4d310 QApplicationPrivate::sendMouseEvent(QWidget*, QMouseEvent*, QWidget*, QWidget*, QWidget**, QPointer&, bool, bool) + 896
22 QtWidgets 0x0000000111ca6022 QWidgetWindow::handleMouseEvent(QMouseEvent*) + 3266
23 QtWidgets 0x0000000111ca46e9 QWidgetWindow::event(QEvent*) + 233
24 QtWidgets 0x0000000111c4c9ea QApplicationPrivate::notify_helper(QObject*, QEvent*) + 266
25 QtWidgets 0x0000000111c4de11 QApplication::notify(QObject*, QEvent*) + 497
26 QtWidgets.abi3.so 0x0000000111100019 sipQApplication::notify(QObject*, QEvent*) + 233
27 QtCore 0x000000010e49ca34 QCoreApplication::notifyInternal2(QObject*, QEvent*) + 212
28 QtGui 0x0000000112b23e2e QGuiApplicationPrivate::processMouseEvent(QWindowSystemInterfacePrivate::MouseEvent*) + 3534
29 QtGui 0x0000000112b08d7b QWindowSystemInterface::sendWindowSystemEvents(QFlagsQEventLoop::ProcessEventsFlag) + 219
30 libqcocoa.dylib 0x000000011ed34260 QCocoaEventDispatcherPrivate::processPostedEvents() + 320
31 libqcocoa.dylib 0x000000011ed349c8 QCocoaEventDispatcherPrivate::postedEventsSourceCallback(void*) + 40
32 com.apple.CoreFoundation 0x00007fff2058702c CFRUNLOOP_IS_CALLING_OUT_TO_A_SOURCE0_PERFORM_FUNCTION + 17
33 com.apple.CoreFoundation 0x00007fff20586f94 __CFRunLoopDoSource0 + 180
34 com.apple.CoreFoundation 0x00007fff20586d0a __CFRunLoopDoSources0 + 242
35 com.apple.CoreFoundation 0x00007fff20585718 __CFRunLoopRun + 897
36 com.apple.CoreFoundation 0x00007fff20584cd0 CFRunLoopRunSpecific + 567
37 com.apple.HIToolbox 0x00007fff28a2f1f3 RunCurrentEventLoopInMode + 292
38 com.apple.HIToolbox 0x00007fff28a2ee26 ReceiveNextEventCommon + 284
39 com.apple.HIToolbox 0x00007fff28a2ecf3 _BlockUntilNextEventMatchingListInModeWithFilter + 70
40 com.apple.AppKit 0x00007fff22cb8172 _DPSNextEvent + 864
41 com.apple.AppKit 0x00007fff22cb6945 -[NSApplication(NSEvent) _nextEventMatchingEventMask:untilDate:inMode:dequeue:] + 1364
42 com.apple.AppKit 0x00007fff22ca8c69 -[NSApplication run] + 586
43 libqcocoa.dylib 0x000000011ed3362f QCocoaEventDispatcher::processEvents(QFlagsQEventLoop::ProcessEventsFlag) + 2495
44 QtCore 0x000000010e498acf QEventLoop::exec(QFlagsQEventLoop::ProcessEventsFlag) + 431
45 QtCore 0x000000010e49d042 QCoreApplication::exec() + 130
46 QtWidgets.abi3.so 0x00000001111f1882 meth_QApplication_exec(_object*, _object*) + 82
47 0x00000001047685a2 cfunction_call + 130
48 0x0000000104727287 _PyObject_MakeTpCall + 375
49 0x0000000104810240 call_function + 624
50 0x000000010480d1f6 _PyEval_EvalFrameDefault + 27654
51 0x0000000104811034 _PyEval_EvalCode + 2852
52 0x0000000104806520 PyEval_EvalCode + 64
53 0x0000000104803370 builtin_exec + 592
54 0x0000000104767da7 cfunction_vectorcall_FASTCALL + 215
55 0x000000010481016b call_function + 411
56 0x000000010480d2a0 _PyEval_EvalFrameDefault + 27824
57 0x0000000104727af5 function_code_fastcall + 229
58 0x000000010481016b call_function + 411
59 0x000000010480d1f6 _PyEval_EvalFrameDefault + 27654
60 0x0000000104727af5 function_code_fastcall + 229
61 0x0000000104727c93 PyObject_CallObject + 131
62 0x00000001046e2242 main + 962
63 libdyld.dylib 0x00007fff204a9f3d start + 1

Thread 1:: com.apple.rosetta.exceptionserver
0 runtime 0x00007ffdffe1ba28 0x7ffdffe17000 + 18984
1 runtime 0x00007ffdffe20a0c 0x7ffdffe17000 + 39436
2 runtime 0x00007ffdffe222c0 0x7ffdffe17000 + 45760

Thread 2:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 3:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 4:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 5:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 6:: QThread
0 ??? 0x00007ffe946be8f4 ???
1 libsystem_kernel.dylib 0x00007fff2045f9ca poll + 10
2 0x000000010473036c method_vectorcall_FASTCALL + 140
3 0x000000010481016b call_function + 411
4 0x000000010480d1d9 _PyEval_EvalFrameDefault + 27625
5 0x0000000104811034 _PyEval_EvalCode + 2852
6 0x0000000104727a00 _PyFunction_Vectorcall + 256
7 0x000000010481016b call_function + 411
8 0x000000010480d1d9 _PyEval_EvalFrameDefault + 27625
9 0x0000000104811034 _PyEval_EvalCode + 2852
10 0x0000000104727a00 _PyFunction_Vectorcall + 256
11 0x0000000104729ebc method_vectorcall + 204
12 0x000000010481016b call_function + 411
13 0x000000010480d352 _PyEval_EvalFrameDefault + 28002
14 0x0000000104811034 _PyEval_EvalCode + 2852
15 0x0000000104727a00 _PyFunction_Vectorcall + 256
16 0x000000010481016b call_function + 411
17 0x000000010480d1d9 _PyEval_EvalFrameDefault + 27625
18 0x0000000104811034 _PyEval_EvalCode + 2852
19 0x0000000104727a00 _PyFunction_Vectorcall + 256
20 0x000000010481016b call_function + 411
21 0x000000010480d2a0 _PyEval_EvalFrameDefault + 27824
22 0x0000000104811034 _PyEval_EvalCode + 2852
23 0x0000000104727a00 _PyFunction_Vectorcall + 256
24 0x00000001047276cb PyVectorcall_Call + 155
25 0x000000010480d690 _PyEval_EvalFrameDefault + 28832
26 0x0000000104811034 _PyEval_EvalCode + 2852
27 0x0000000104727a00 _PyFunction_Vectorcall + 256
28 0x0000000104729ebc method_vectorcall + 204
29 0x000000010481016b call_function + 411
30 0x000000010480d352 _PyEval_EvalFrameDefault + 28002
31 0x0000000104811034 _PyEval_EvalCode + 2852
32 0x0000000104727a00 _PyFunction_Vectorcall + 256
33 0x0000000104729f62 method_vectorcall + 370
34 QtCore.abi3.so 0x000000010dd4b657 PyQtSlot::call(_object*, _object*) const + 39
35 QtCore.abi3.so 0x000000010dd4b566 PyQtSlot::invoke(void**, _object*, void*, bool) const + 374
36 QtCore.abi3.so 0x000000010dd4c155 PyQtSlotProxy::unislot(void**) + 85
37 QtCore.abi3.so 0x000000010dd4c0ca PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 58
38 QtCore 0x000000010e4cff6e void doActivate(QObject*, int, void**) + 1118
39 QtCore 0x000000010e2c5de8 QThread::started(QThread::QPrivateSignal) + 56
40 QtCore 0x000000010e2c65ff QThreadPrivate::start(void*) + 303
41 libsystem_pthread.dylib 0x00007fff2048e8fc _pthread_start + 224
42 libsystem_pthread.dylib 0x00007fff2048a443 thread_start + 15

Thread 7:: QThread
0 ??? 0x00007ffe946be8f4 ???
1 libsystem_kernel.dylib 0x00007fff2045f9ca poll + 10
2 0x000000010473036c method_vectorcall_FASTCALL + 140
3 0x000000010481016b call_function + 411
4 0x000000010480d1d9 _PyEval_EvalFrameDefault + 27625
5 0x0000000104811034 _PyEval_EvalCode + 2852
6 0x0000000104727a00 _PyFunction_Vectorcall + 256
7 0x000000010481016b call_function + 411
8 0x000000010480d1d9 _PyEval_EvalFrameDefault + 27625
9 0x0000000104811034 _PyEval_EvalCode + 2852
10 0x0000000104727a00 _PyFunction_Vectorcall + 256
11 0x0000000104729ebc method_vectorcall + 204
12 0x000000010481016b call_function + 411
13 0x000000010480d352 _PyEval_EvalFrameDefault + 28002
14 0x0000000104811034 _PyEval_EvalCode + 2852
15 0x0000000104727a00 _PyFunction_Vectorcall + 256
16 0x000000010481016b call_function + 411
17 0x000000010480d1d9 _PyEval_EvalFrameDefault + 27625
18 0x0000000104811034 _PyEval_EvalCode + 2852
19 0x0000000104727a00 _PyFunction_Vectorcall + 256
20 0x000000010481016b call_function + 411
21 0x000000010480d2a0 _PyEval_EvalFrameDefault + 27824
22 0x0000000104811034 _PyEval_EvalCode + 2852
23 0x0000000104727a00 _PyFunction_Vectorcall + 256
24 0x00000001047276cb PyVectorcall_Call + 155
25 0x000000010480d690 _PyEval_EvalFrameDefault + 28832
26 0x0000000104811034 _PyEval_EvalCode + 2852
27 0x0000000104727a00 _PyFunction_Vectorcall + 256
28 0x0000000104729ebc method_vectorcall + 204
29 0x000000010481016b call_function + 411
30 0x000000010480d352 _PyEval_EvalFrameDefault + 28002
31 0x0000000104727af5 function_code_fastcall + 229
32 0x0000000104729f62 method_vectorcall + 370
33 QtCore.abi3.so 0x000000010dd4b657 PyQtSlot::call(_object*, _object*) const + 39
34 QtCore.abi3.so 0x000000010dd4b566 PyQtSlot::invoke(void**, _object*, void*, bool) const + 374
35 QtCore.abi3.so 0x000000010dd4c155 PyQtSlotProxy::unislot(void**) + 85
36 QtCore.abi3.so 0x000000010dd4c0ca PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 58
37 QtCore 0x000000010e4cff6e void doActivate(QObject*, int, void**) + 1118
38 QtCore 0x000000010e2c5de8 QThread::started(QThread::QPrivateSignal) + 56
39 QtCore 0x000000010e2c65ff QThreadPrivate::start(void*) + 303
40 libsystem_pthread.dylib 0x00007fff2048e8fc _pthread_start + 224
41 libsystem_pthread.dylib 0x00007fff2048a443 thread_start + 15

Thread 8:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 9:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 10:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 11:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 12:
0 runtime 0x00007ffdffe397c8 0x7ffdffe17000 + 141256

Thread 13:: com.apple.NSEventThread
0 ??? 0x00007ffe946be8f4 ???
1 libsystem_kernel.dylib 0x00007fff204592ba mach_msg_trap + 10
2 com.apple.CoreFoundation 0x00007fff20587215 __CFRunLoopServiceMachPort + 316
3 com.apple.CoreFoundation 0x00007fff205858cb __CFRunLoopRun + 1332
4 com.apple.CoreFoundation 0x00007fff20584cd0 CFRunLoopRunSpecific + 567
5 com.apple.AppKit 0x00007fff22e3e23a _NSEventThread + 124
6 libsystem_pthread.dylib 0x00007fff2048e8fc _pthread_start + 224
7 libsystem_pthread.dylib 0x00007fff2048a443 thread_start + 15

Thread 0 crashed with X86 Thread State (64-bit):
rax: 0x0000000000000000 rbx: 0x0000000000000000 rcx: 0x0000000000000000 rdx: 0x0000000000000000
rdi: 0x000000010d58b9a0 rsi: 0x0000000000000003 rbp: 0x0000000000000000 rsp: 0x00007fff807860e8
r8: 0x0000000204e26e00 r9: 0x0000000000000000 r10: 0x0000000000000000 r11: 0x00007fff807860e0
r12: 0x0000000000000103 r13: 0x00000001218f2a80 r14: 0x0000000000000006 r15: 0x0000000000000016
rip: rfl: 0x0000000000000283

Binary Images:
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Translated Code Information:
tmp0: 0xffffffffffffffff tmp1: 0x00007ffe946be8c8 tmp2: 0x00007fff2045f924

External Modification Summary:
Calls made by other processes targeting this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by all processes on this machine:
task_for_pid: 0
thread_create: 0
thread_set_state: 0

VM Region Summary:
ReadOnly portion of Libraries: Total=811.8M resident=0K(0%) swapped_out_or_unallocated=811.8M(100%)
Writable regions: Total=1.6G written=0K(0%) resident=0K(0%) swapped_out=0K(0%) unallocated=1.6G(100%)

                            VIRTUAL   REGION 

REGION TYPE SIZE COUNT (non-coalesced)
=========== ======= =======
Accelerate framework 384K 3
Activity Tracing 256K 1
CG backing stores 3264K 6
CG image 72K 6
CoreAnimation 340K 10
CoreGraphics 12K 2
CoreUI image data 1980K 17
Foundation 16K 1
Kernel Alloc Once 8K 1
MALLOC 305.2M 60
MALLOC guard page 192K 8
MALLOC_MEDIUM (reserved) 696.0M 6 reserved VM address space (unallocated)
MALLOC_NANO (reserved) 384.0M 1 reserved VM address space (unallocated)
Rosetta Arena 4096K 2
Rosetta Generic 952K 235
Rosetta IndirectBranch 1024K 1
Rosetta JIT 128.0M 1
Rosetta Return Stack 260K 26
Rosetta Thread Context 260K 26
SQLite page cache 128K 2
STACK GUARD 36K 9
Stack 14.2M 13
Stack Guard 56.0M 4
VM_ALLOCATE 58.4M 349
VM_ALLOCATE (reserved) 176K 22 reserved VM address space (unallocated)
__DATA 20.1M 467
__DATA_CONST 13.0M 215
__DATA_DIRTY 552K 103
__FONT_DATA 4K 1
__LINKEDIT 532.4M 209
__OBJC_RO 70.2M 1
__OBJC_RW 2480K 2
__TEXT 280.0M 451
__UNICODE 588K 1
mapped file 4.4G 801
shared memory 800K 15
unshared pmap 8704K 5
=========== ======= =======
TOTAL 7.0G 3083
TOTAL, minus reserved VM space 5.9G 3083

Model: MacBookPro17,1, BootROM 6723.140.2, proc 8:4:4 processors, 16 GB, SMC
Graphics: kHW_AppleM1Item, Apple M1, spdisplays_builtin
Memory Module: LPDDR4
AirPort: spairport_wireless_card_type_airport_extreme, wl0: Aug 18 2021 22:48:53 version 18.50.40.11.7.8.123 FWID 01-3ed0e3a2
Bluetooth: Version 8.0.5d7, 3 services, 27 devices, 1 incoming serial ports
Network Service: Wi-Fi, AirPort, en0
PCI Card: pci1b73,1100, sppci_usbxhci, Thunderbolt@6,0,0
PCI Card: pci1b73,1100, sppci_usbxhci, Thunderbolt@5,0,0
PCI Card: pci1b21,1242, sppci_usbxhci, Thunderbolt@4,0,0
PCI Card: ethernet, sppci_ethernet, Thunderbolt@3,0,0
USB Device: USB 3.1 Bus
USB Device: USB 3.1 Bus
USB Device: USB 3.1 Bus
USB Device: USB 3.0 Bus
USB Device: Card Reader
USB Device: USB Receiver
USB Device: USB 3.0 Bus
USB Device: iPhone
USB Device: CalDigit Thunderbolt 3 Audio
USB Device: CONEXANT USB AUDIO
Thunderbolt Bus: MacBook Pro, Apple Inc.
Thunderbolt Bus: MacBook Pro, Apple Inc.
Thunderbolt Device: TS3 Plus, CalDigit, Inc., 1, 44.1

If I have Anki closed and try to click "configure" I get a message saying "could not reach Anki connect" (I already installed it) and if I have Anki opened it crashes inmediatly when I click "configure", I downloaded the correct version and tried uninstalling and reinstalling both the app and the add-on multiple times, but it didn't work (first time using Github, sorry if my comment uses the wrong format, let me know what I should do instead, thanks).

In wayland the contents of the clipboard don't appear

Describe the bug

Import from KOReader Vocab Builder fails upon selecting the folder with all of my KOReader files. The error dialog appears: "Check if you've picked the right directory. It should be a folder containing both all your books and KOReader settings."

The folder I select is the folder containing all of the KOReader data files synced from my Android KOReader installation. This includes a "books" folder, which includes .epub files and a subfolder for each book with the appropriate .sdr folder within it. The folder also contains the KOReader settings folder which contains the vocabulary_builder.sqlite3 database.

To Reproduce

Steps to reproduce the behavior:

1. Copy or sync all files from KOReader device to a desktop folder, in this case macOS
2. Click on Import > KOReader Vocab Builder
3. Select the folder containing the synced KOReader files
4. See error: the error dialog attached below appears.

Expected behavior

The import should work since all books, `.sdr folders, and the vocab builder sqlite3 file are all present in the synced folder

Screenshots

Desktop (please complete the following information):

• OS: macOS 12.6.4 "Monterey"
• Vocabsieve version v0.10.1, installed from GitHub Releases page .dmg file

Additional context

KOReader has a "cloud sync" option which syncs just the sqlite3 file with the vocab builder data, but apparently that is not sufficient. The error dialog says the books (and I assume the .sdr folders) must also be present. So, I have copied the entire KOReader folder instead using "SyncThing", and I have verified that all of the files are present in the synced folder on my Mac desktop.

Happy to provide more details or do testing/triage.

Describe the bug

Language selection dropdown is missing Hebrew. The code for Hebrew is present in code, so not sure why it can't be selected.

To Reproduce
Steps to reproduce the behavior:

1. Go to 'Configure..'
2. Click on 'Target Language'
3. Hebrew is missing

Expected behavior
Hebrew should be present, since its language abbreviation exists in code.

Screenshots

Desktop (please complete the following information):

• OS: MacOS (M2)
• Vocabsieve version (if nightly, must be latest): 0.10.1

[Feature Request] > Adding Images via VocabSiev window.

In some fields of knowledge as Anatomy it is extremely necessary to add photos into Anki Cards.

Would it be possible a feature on Vocabsieve to paste screenshoots and add them automatically with the rest of the card ?

Since Chinese doesn't as easily distinguish words/names with spaces as English, attempting to double click a word simply selects the entire sentence.

The Firefox/Chrome extension Zhongwen and Android App Pleco are examples of software which use various methods of automatically detecting words in the dictionary (CC-CEDICT is bundled in the case of Zhongwen, which comes in at only 3.6 MB zipped).

It would be advantageous to integrate CC-CEDICT as a dictionary option for Chinese, as well as leveraging it to help select words in a Chinese sentence. I'm willing to help contribute some code if necessary to help do this, but I'd like some input from the primary developer before doing so.

Example sentence: "The dog runs around the house"
I cant add both "dog" and "house" because it will recognize the same sentence and throw an error.

A better solution for duplicates could be checking the target word, instead of the example sentence

Hi,

Since I upgrade vocabsieve to 0.8.0, I can't launch it
Here is what I got:

pipx upgrade vocabsieve

Traceback (most recent call last):
  File "/usr/local/bin/vocabsieve", line 5, in <module>
    from vocabsieve.__main__ import main
  File "/usr/local/lib/venvs/vocabsieve/lib/python3.10/site-packages/vocabsieve/__main__.py", line 1, in <module>
    from . import main
  File "/usr/local/lib/venvs/vocabsieve/lib/python3.10/site-packages/vocabsieve/main.py", line 33, in <module>
    from packaging import version
ModuleNotFoundError: No module named 'packaging'

pipx inject vocabsieve packaging

~/.local/share/FreeLanguageTools/VocabSieve
Traceback (most recent call last):
  File "/usr/local/lib/venvs/vocabsieve/bin/vocabsieve", line 8, in <module>
    sys.exit(main())
TypeError: 'module' object is not callable

Describe the bug
When trying to import highlights from kindles it cannot locate the highlights and says the following:
"Cannot read highlights. Make sure that your clipping file is in the right place, and it's length is a multiple of 5."
It does locate the vocabulary builder database correctly. But i'm trying to import my highlights.

My highlight file is located under: Kindle/documents. The name of the file is My Clippings.txt. I changed the name of the file to a multiple of 5 but still got the same error.

Expected behavior
It should locate the file and import the highlights.

Desktop (please complete the following information):

• OS: MAC OSX
• Vocabsieve version (if nightly, must be latest): Latest stable release.

This is not a security issue: I allowed vocabsieve to be run, but it crashes after the start

While trying to add note I get this error " 'NoneType' object has no attribute 'write' "
My anki settings :

Is your feature request related to a problem? Please describe.
I find that default lookups with double click can be a bit slow. Instead, I rely on external translator (QTranslate, DeepL etc) to translate words that are copied into the Sentence field. QTranslate/DeepL allows for near instantaneous translations by simply double clicking a word.

It is currently possible to use QTranslate/DeepL with VocabSieve, just cumbersome: you need to left click near a word, and then select the word using Shift / using drag select. I'd like VocabSieve not interfere with this and rely on QTranslate/DeepL for word translations. If I'd need to make a card out of the word after making a selection, I can still Ctrl-D immediately without changing it

Describe the solution you'd like
Provide a Double click automatically seeks definitions checkbox in settings. It's on by default. With this checkbox selected, the program behaves like it does now. With the checkbox unselected, double click behaves like it does in any other app.

TSV is the most lightweight method of storing dictionary data. PyGlossary can convert many type of data including TSV (Tabfile).

I don't want to use Anki when clicking on that “configure” button, so this thing popped up, twice:

<urlopen error [Errno 111] Connection refused>
AnkiConnect must be running to use the configuration tool.

Getting this error in Arch linux:

❯ python3 vocabsieve.py
Traceback (most recent call last):
  File "/home/yaoberh/vocabsieve/vocabsieve.py", line 2, in <module>
    import vocabsieve.main
  File "/home/yaoberh/vocabsieve/vocabsieve/__init__.py", line 2, in <module>
    __version__ = importlib.metadata.version('vocabsieve')
  File "/usr/lib/python3.10/importlib/metadata/__init__.py", line 984, in version
    return distribution(distribution_name).version
  File "/usr/lib/python3.10/importlib/metadata/__init__.py", line 957, in distribution
    return Distribution.from_name(distribution_name)
  File "/usr/lib/python3.10/importlib/metadata/__init__.py", line 548, in from_name
    raise PackageNotFoundError(name)
importlib.metadata.PackageNotFoundError: No package metadata was found for vocabsieve
``

I love the Analyze feature. It would be really helpful for me if, after scanning the book, VocabSieve was able to spit out the, say, 100 most-common unknown lemmas so that I can memorize those before attempting to read the book.

It seems like that's probably data that's already being calculated, and it just needs to be printed somewhere.

Would it be possible to provide a visual feedback to a user whenever a duplicate is being created ?

For example, if a user wants to add the word "Cat" but it is already in Anki database, could VocabSieve detect that it is a duplicate and show a warning or confirmation window?

Thanks for your great work !

How to import from KOReader?
What file format should it be? HTML, plain text, ..;?

When I use KOReader, the export gets in D:.adds\koreader\clipboard

Which folder should I select?

I'm unable to open any version after v.0.8.3 on my Mac. v0.8.3 is working and installs and runs normally. The install on any later version happens normally, and then I get the below error when opening the application:

• OS: Mac OS Monterey 12.4
• Vocabsieve version (if nightly, must be latest): v0.10.0, v0.10.1 mac os

Translated Report (Full Report Below)

Process: app [2248]
Path: /Applications/vocabsieve.app/Contents/MacOS/app
Identifier: vocabsieve
Version: ???
Code Type: X86-64 (Translated)
Parent Process: launchd [1]
User ID: 501

Date/Time: 2022-11-21 13:58:17.7933 +0800
OS Version: macOS 13.0.1 (22A400)
Report Version: 12
Anonymous UUID: F99BF2D8-40DC-FAF0-F94E-11F0E86F09D1

Time Awake Since Boot: 1500 seconds

System Integrity Protection: enabled

Crashed Thread: 0 Dispatch queue: com.apple.main-thread

Exception Type: EXC_CRASH (SIGABRT)
Exception Codes: 0x0000000000000000, 0x0000000000000000

Application Specific Information:
abort() called

Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 ??? 0x7ff89106a9a8 ???
1 libsystem_kernel.dylib 0x7ff801dab30e __pthread_kill + 10
2 libsystem_pthread.dylib 0x7ff801de2f7b pthread_kill + 263
3 libsystem_c.dylib 0x7ff801d2cca5 abort + 123
4 QtCore 0x10cbfb529 qt_message_fatal(QtMsgType, QMessageLogContext const&, QString const&) + 9
5 QtCore 0x10cbfcc74 QMessageLogger::fatal(char const*, ...) const + 202
6 QtCore.abi3.so 0x10bfccfc9 pyqt5_err_print() + 745
7 QtCore.abi3.so 0x10bfd2c54 PyQtSlotProxy::unislot(void**) + 100
8 QtCore.abi3.so 0x10bfd2bba PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 58
9 QtCore 0x10ce0ef6e void doActivate(QObject*, int, void**) + 1118
10 QtWidgets 0x114c6563d QListWidgetPrivate::_q_emitCurrentItemChanged(QModelIndex const&, QModelIndex const&) + 237
11 QtCore 0x10ce0f0d5 void doActivate(QObject*, int, void**) + 1477
12 QtCore 0x10cd9dd39 QItemSelectionModel::setCurrentIndex(QModelIndex const&, QFlagsQItemSelectionModel::SelectionFlag) + 249
13 QtWidgets 0x114c660b1 QListWidget::setCurrentRow(int) + 129
14 QtWidgets.abi3.so 0x113ec1b7b meth_QListWidget_setCurrentItem(_object*, _object*) + 107
15 app 0x102b210c2 cfunction_call + 130
16 app 0x102adf115 _PyObject_MakeTpCall + 373
17 app 0x102bc8ca0 call_function + 624
18 app 0x102bc5bd6 _PyEval_EvalFrameDefault + 27670
19 app 0x102bc9a94 _PyEval_EvalCode + 2852
20 app 0x102adf820 _PyFunction_Vectorcall + 256
21 app 0x102ae1cdc method_vectorcall + 204
22 app 0x102bc8bcb call_function + 411
23 app 0x102bc5bd6 _PyEval_EvalFrameDefault + 27670
24 app 0x102bc9a94 _PyEval_EvalCode + 2852
25 app 0x102adf820 _PyFunction_Vectorcall + 256
26 app 0x102ae1d82 method_vectorcall + 370
27 QtCore.abi3.so 0x10bfd2118 PyQtSlot::call(_object*, _object*) const + 40
28 QtCore.abi3.so 0x10bfd201d PyQtSlot::invoke(void**, _object*, void*, bool) const + 381
29 QtCore.abi3.so 0x10bfd2c45 PyQtSlotProxy::unislot(void**) + 85
30 QtCore.abi3.so 0x10bfd2bba PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 58
31 QtCore 0x10ce06b9f QObject::event(QEvent*) + 943
32 QtWidgets 0x1149ae9ea QApplicationPrivate::notify_helper(QObject*, QEvent*) + 266
33 QtWidgets 0x1149afe11 QApplication::notify(QObject*, QEvent*) + 497
34 QtWidgets.abi3.so 0x113e4aaf6 sipQApplication::notify(QObject*, QEvent*) + 230
35 QtCore 0x10cddba34 QCoreApplication::notifyInternal2(QObject*, QEvent*) + 212
36 QtCore 0x10cddcd79 QCoreApplicationPrivate::sendPostedEvents(QObject*, int, QThreadData*) + 809
37 libqcocoa.dylib 0x11683b259 QCocoaEventDispatcherPrivate::processPostedEvents() + 313
38 libqcocoa.dylib 0x11683b9c8 QCocoaEventDispatcherPrivate::postedEventsSourceCallback(void*) + 40
39 CoreFoundation 0x7ff801ebdef1 CFRUNLOOP_IS_CALLING_OUT_TO_A_SOURCE0_PERFORM_FUNCTION + 17
40 CoreFoundation 0x7ff801ebdea0 __CFRunLoopDoSource0 + 157
41 CoreFoundation 0x7ff801ebdc6e __CFRunLoopDoSources0 + 212
42 CoreFoundation 0x7ff801ebc8c8 __CFRunLoopRun + 943
43 CoreFoundation 0x7ff801ebbe9f CFRunLoopRunSpecific + 560
44 HIToolbox 0x7ff80bce3bd6 RunCurrentEventLoopInMode + 292
45 HIToolbox 0x7ff80bce39e6 ReceiveNextEventCommon + 679
46 HIToolbox 0x7ff80bce3723 _BlockUntilNextEventMatchingListInModeWithFilter + 70
47 AppKit 0x7ff804f19b37 _DPSNextEvent + 909
48 AppKit 0x7ff804f189b8 -[NSApplication(NSEvent) _nextEventMatchingEventMask:untilDate:inMode:dequeue:] + 1219
49 AppKit 0x7ff804f0aff3 -[NSApplication run] + 586
50 libqcocoa.dylib 0x11683a62f QCocoaEventDispatcher::processEvents(QFlagsQEventLoop::ProcessEventsFlag) + 2495
51 QtCore 0x10cdd7acf QEventLoop::exec(QFlagsQEventLoop::ProcessEventsFlag) + 431
52 QtCore 0x10cddc042 QCoreApplication::exec() + 130
53 QtWidgets.abi3.so 0x113f3bd32 meth_QApplication_exec(_object*, _object*) + 82
54 app 0x102b210c2 cfunction_call + 130
55 app 0x102adf115 _PyObject_MakeTpCall + 373
56 app 0x102bc8ca0 call_function + 624
57 app 0x102bc5bd6 _PyEval_EvalFrameDefault + 27670
58 app 0x102bc9a94 _PyEval_EvalCode + 2852
59 app 0x102bbeef0 PyEval_EvalCode + 64
60 app 0x102bbbd20 builtin_exec + 592
61 app 0x102b20975 cfunction_vectorcall_FASTCALL + 197
62 app 0x102bc8bcb call_function + 411
63 app 0x102bc5c80 _PyEval_EvalFrameDefault + 27840
64 app 0x102adf915 function_code_fastcall + 229
65 app 0x102bc8bcb call_function + 411
66 app 0x102bc5bd6 _PyEval_EvalFrameDefault + 27670
67 app 0x102adf915 function_code_fastcall + 229
68 app 0x102adfab3 PyObject_CallObject + 131
69 app 0x102a96922 main + 962
70 dyld 0x2031bd310 start + 2432

Thread 1:: com.apple.rosetta.exceptionserver
0 runtime 0x7ff7ffeeb750 0x7ff7ffee7000 + 18256
1 runtime 0x7ff7ffef766c 0x7ff7ffee7000 + 67180
2 runtime 0x7ff7ffef906c 0x7ff7ffee7000 + 73836

Thread 2:
0 runtime 0x7ff7fff0987c 0x7ff7ffee7000 + 141436

Thread 3:
0 runtime 0x7ff7fff0987c 0x7ff7ffee7000 + 141436

Thread 4:: QThread
0 ??? 0x7ff89106a9a8 ???
1 libsystem_kernel.dylib 0x7ff801dab3ba poll + 10
2 select.cpython-39-darwin.so 0x11954c6b3 select_poll_poll + 291
3 app 0x102ae810c method_vectorcall_FASTCALL + 140
4 app 0x102bc8bcb call_function + 411
5 app 0x102bc5bb9 _PyEval_EvalFrameDefault + 27641
6 app 0x102bc9a94 _PyEval_EvalCode + 2852
7 app 0x102adf820 _PyFunction_Vectorcall + 256
8 app 0x102bc8bcb call_function + 411
9 app 0x102bc5bb9 _PyEval_EvalFrameDefault + 27641
10 app 0x102bc9a94 _PyEval_EvalCode + 2852
11 app 0x102adf820 _PyFunction_Vectorcall + 256
12 app 0x102ae1cdc method_vectorcall + 204
13 app 0x102bc8bcb call_function + 411
14 app 0x102bc5d32 _PyEval_EvalFrameDefault + 28018
15 app 0x102bc9a94 _PyEval_EvalCode + 2852
16 app 0x102adf820 _PyFunction_Vectorcall + 256
17 app 0x102bc8bcb call_function + 411
18 app 0x102bc5bb9 _PyEval_EvalFrameDefault + 27641
19 app 0x102bc9a94 _PyEval_EvalCode + 2852
20 app 0x102adf820 _PyFunction_Vectorcall + 256
21 app 0x102adf51b PyVectorcall_Call + 155
22 app 0x102bc605f _PyEval_EvalFrameDefault + 28831
23 app 0x102bc9a94 _PyEval_EvalCode + 2852
24 app 0x102adf820 _PyFunction_Vectorcall + 256
25 app 0x102ae1cdc method_vectorcall + 204
26 app 0x102bc8bcb call_function + 411
27 app 0x102bc5d32 _PyEval_EvalFrameDefault + 28018
28 app 0x102bc9a94 _PyEval_EvalCode + 2852
29 app 0x102adf820 _PyFunction_Vectorcall + 256
30 app 0x102ae1d82 method_vectorcall + 370
31 QtCore.abi3.so 0x10bfd2118 PyQtSlot::call(_object*, _object*) const + 40
32 QtCore.abi3.so 0x10bfd201d PyQtSlot::invoke(void**, _object*, void*, bool) const + 381
33 QtCore.abi3.so 0x10bfd2c45 PyQtSlotProxy::unislot(void**) + 85
34 QtCore.abi3.so 0x10bfd2bba PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 58
35 QtCore 0x10ce0ef6e void doActivate(QObject*, int, void**) + 1118
36 QtCore 0x10cc04de8 QThread::started(QThread::QPrivateSignal) + 56
37 QtCore 0x10cc055ff QThreadPrivate::start(void*) + 303
38 libsystem_pthread.dylib 0x7ff801de3259 _pthread_start + 125
39 libsystem_pthread.dylib 0x7ff801ddec7b thread_start + 15

Thread 5:: QThread
0 ??? 0x7ff89106a9a8 ???
1 libsystem_kernel.dylib 0x7ff801dab3ba poll + 10
2 select.cpython-39-darwin.so 0x11954c6b3 select_poll_poll + 291
3 app 0x102ae810c method_vectorcall_FASTCALL + 140
4 app 0x102bc8bcb call_function + 411
5 app 0x102bc5bb9 _PyEval_EvalFrameDefault + 27641
6 app 0x102bc9a94 _PyEval_EvalCode + 2852
7 app 0x102adf820 _PyFunction_Vectorcall + 256
8 app 0x102bc8bcb call_function + 411
9 app 0x102bc5bb9 _PyEval_EvalFrameDefault + 27641
10 app 0x102bc9a94 _PyEval_EvalCode + 2852
11 app 0x102adf820 _PyFunction_Vectorcall + 256
12 app 0x102ae1cdc method_vectorcall + 204
13 app 0x102bc8bcb call_function + 411
14 app 0x102bc5d32 _PyEval_EvalFrameDefault + 28018
15 app 0x102bc9a94 _PyEval_EvalCode + 2852
16 app 0x102adf820 _PyFunction_Vectorcall + 256
17 app 0x102bc8bcb call_function + 411
18 app 0x102bc5bb9 _PyEval_EvalFrameDefault + 27641
19 app 0x102bc9a94 _PyEval_EvalCode + 2852
20 app 0x102adf820 _PyFunction_Vectorcall + 256
21 app 0x102adf51b PyVectorcall_Call + 155
22 app 0x102bc605f _PyEval_EvalFrameDefault + 28831
23 app 0x102bc9a94 _PyEval_EvalCode + 2852
24 app 0x102adf820 _PyFunction_Vectorcall + 256
25 app 0x102ae1cdc method_vectorcall + 204
26 app 0x102bc8bcb call_function + 411
27 app 0x102bc5d32 _PyEval_EvalFrameDefault + 28018
28 app 0x102bc9a94 _PyEval_EvalCode + 2852
29 app 0x102adf820 _PyFunction_Vectorcall + 256
30 app 0x102ae1d82 method_vectorcall + 370
31 QtCore.abi3.so 0x10bfd2118 PyQtSlot::call(_object*, _object*) const + 40
32 QtCore.abi3.so 0x10bfd201d PyQtSlot::invoke(void**, _object*, void*, bool) const + 381
33 QtCore.abi3.so 0x10bfd2c45 PyQtSlotProxy::unislot(void**) + 85
34 QtCore.abi3.so 0x10bfd2bba PyQtSlotProxy::qt_metacall(QMetaObject::Call, int, void**) + 58
35 QtCore 0x10ce0ef6e void doActivate(QObject*, int, void**) + 1118
36 QtCore 0x10cc04de8 QThread::started(QThread::QPrivateSignal) + 56
37 QtCore 0x10cc055ff QThreadPrivate::start(void*) + 303
38 libsystem_pthread.dylib 0x7ff801de3259 _pthread_start + 125
39 libsystem_pthread.dylib 0x7ff801ddec7b thread_start + 15

Thread 6:: com.apple.NSEventThread
0 ??? 0x7ff89106a9a8 ???
1 libsystem_kernel.dylib 0x7ff801da46a2 mach_msg2_trap + 10
2 libsystem_kernel.dylib 0x7ff801db267d mach_msg2_internal + 82
3 libsystem_kernel.dylib 0x7ff801dab71a mach_msg_overwrite + 723
4 libsystem_kernel.dylib 0x7ff801da4989 mach_msg + 19
5 SkyLight 0x7ff8069eab6a CGSSnarfAndDispatchDatagrams + 154
6 SkyLight 0x7ff806cf86e2 SLSGetNextEventRecordInternal + 284
7 SkyLight 0x7ff806b15e14 SLEventCreateNextEvent + 9
8 HIToolbox 0x7ff80bcf05b6 PullEventsFromWindowServerOnConnection(unsigned int, unsigned char, __CFMachPortBoost*) + 45
9 HIToolbox 0x7ff80bcf055b MessageHandler(__CFMachPort*, void*, long, void*) + 48
10 CoreFoundation 0x7ff801eeb1ac __CFMachPortPerform + 244
11 CoreFoundation 0x7ff801ebe418 CFRUNLOOP_IS_CALLING_OUT_TO_A_SOURCE1_PERFORM_FUNCTION + 41
12 CoreFoundation 0x7ff801ebe357 __CFRunLoopDoSource1 + 536
13 CoreFoundation 0x7ff801ebcfd6 __CFRunLoopRun + 2749
14 CoreFoundation 0x7ff801ebbe9f CFRunLoopRunSpecific + 560
15 AppKit 0x7ff805079696 _NSEventThread + 132
16 libsystem_pthread.dylib 0x7ff801de3259 _pthread_start + 125
17 libsystem_pthread.dylib 0x7ff801ddec7b thread_start + 15

Thread 0 crashed with X86 Thread State (64-bit):
rax: 0x0000000000000000 rbx: 0x0000000000000000 rcx: 0x0000000000000000 rdx: 0x0000000000000000
rdi: 0x000000010b9b89a0 rsi: 0x0000000000000003 rbp: 0x0000000000000000 rsp: 0x00007ff845428258
r8: 0x000000020325b2c0 r9: 0x0000000000000000 r10: 0x0000000000000000 r11: 0x00007ff845428250
r12: 0x0000000000000103 r13: 0x0000000000000000 r14: 0x0000000000000006 r15: 0x0000000000000016
rip: rfl: 0x0000000000000283
tmp0: 0xffffffffffffffff tmp1: 0x00007ff89106a97c tmp2: 0x00007ff801dab304

Binary Images:
0x0 - 0xffffffffffffffff ??? () <00000000-0000-0000-0000-000000000000> ???
0x7ff801da3000 - 0x7ff801ddcff7 libsystem_kernel.dylib () <0c2fd2c9-777c-3355-b70f-7b1b6e9d1b0b> /usr/lib/system/libsystem_kernel.dylib
0x7ff801ddd000 - 0x7ff801de8ff7 libsystem_pthread.dylib () <13b5e252-77d1-31e1-888d-1c5f4426ea87> /usr/lib/system/libsystem_pthread.dylib
0x7ff801cab000 - 0x7ff801d33fff libsystem_c.dylib () <5efaf10b-2ec1-32ed-b077-80125e552c8d> /usr/lib/system/libsystem_c.dylib
0x10cbe3000 - 0x10d153fff QtCore () /Applications/vocabsieve.app/Contents/MacOS/QtCore
0x10be9a000 - 0x10c021fff QtCore.abi3.so () /Applications/vocabsieve.app/Contents/MacOS/lib/PyQt5/QtCore.abi3.so
0x11499e000 - 0x114de4fff QtWidgets () /Applications/vocabsieve.app/Contents/MacOS/QtWidgets
0x113d00000 - 0x113fcbfff QtWidgets.abi3.so () <2e414bbc-29f8-3fae-b71a-0ec9f444a427> /Applications/vocabsieve.app/Contents/MacOS/lib/PyQt5/QtWidgets.abi3.so
0x102a93000 - 0x102d12fff vocabsieve () <9ca8b767-1035-31f5-a1e3-fffc6de76bc9> /Applications/vocabsieve.app/Contents/MacOS/app
0x116801000 - 0x11696ffff libqcocoa.dylib () /Applications/vocabsieve.app/Contents/MacOS/lib/PyQt5/Qt5/plugins/platforms/libqcocoa.dylib
0x7ff801e3f000 - 0x7ff8022d6fff com.apple.CoreFoundation (6.9) /System/Library/Frameworks/CoreFoundation.framework/Versions/A/CoreFoundation
0x7ff80bcb4000 - 0x7ff80bfabff2 com.apple.HIToolbox (2.1.1) /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/HIToolbox.framework/Versions/A/HIToolbox
0x7ff804edb000 - 0x7ff805edfff6 com.apple.AppKit (6.9) <817d572e-eb8c-3999-b7a0-68e1c4b47266> /System/Library/Frameworks/AppKit.framework/Versions/C/AppKit
0x2031b7000 - 0x20324efff dyld () <28fd2071-57f3-3873-87bf-e4f674a82de6> /usr/lib/dyld
0x7ff7ffee7000 - 0x7ff7fff16fff runtime () <6f797d84-b330-3656-9a0d-7b3dbd3f8a07> /usr/libexec/rosetta/runtime
0x119547000 - 0x11954efff select.cpython-39-darwin.so (*) /Applications/vocabsieve.app/Contents/MacOS/lib/select.cpython-39-darwin.so
0x7ff8069e1000 - 0x7ff806dc9ff8 com.apple.SkyLight (1.600.0) <89844c6a-7225-3b2c-97e7-904aae33adda> /System/Library/PrivateFrameworks/SkyLight.framework/Versions/A/SkyLight

External Modification Summary:
Calls made by other processes targeting this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by all processes on this machine:
task_for_pid: 0
thread_create: 0
thread_set_state: 0

VM Region Summary:
ReadOnly portion of Libraries: Total=677.7M resident=0K(0%) swapped_out_or_unallocated=677.7M(100%)
Writable regions: Total=530.0M written=0K(0%) resident=0K(0%) swapped_out=0K(0%) unallocated=530.0M(100%)

                            VIRTUAL   REGION 

REGION TYPE SIZE COUNT (non-coalesced)
=========== ======= =======
Accelerate framework 512K 4
Activity Tracing 256K 1
CG backing stores 3520K 4
CG image 88K 8
ColorSync 236K 27
CoreAnimation 64K 7
CoreGraphics 12K 2
CoreUI image data 1864K 15
Dispatch continuations 64.0M 1
Foundation 52K 2
Image IO 8K 1
Kernel Alloc Once 8K 1
MALLOC 134.2M 56
MALLOC guard page 192K 8
MALLOC_MEDIUM (reserved) 96.0M 1 reserved VM address space (unallocated)
Rosetta Arena 4096K 2
Rosetta Generic 1260K 312
Rosetta IndirectBranch 1024K 1
Rosetta JIT 128.0M 1
Rosetta Return Stack 140K 14
Rosetta Thread Context 140K 14
SQLite page cache 8960K 70
STACK GUARD 8K 2
Stack 10.5M 6
Stack Guard 56.0M 4
VM_ALLOCATE 67.2M 372
VM_ALLOCATE (reserved) 180K 23 reserved VM address space (unallocated)
__CTF 756 1
__DATA 28.7M 625
__DATA_CONST 30.4M 348
__DATA_DIRTY 1403K 166
__FONT_DATA 2352 1
__LINKEDIT 194.1M 145
__OBJC_RO 65.1M 1
__OBJC_RW 1980K 2
__TEXT 483.6M 627
dyld private memory 256K 1
mapped file 4.5G 1715
shared memory 816K 19
unshared pmap 10.0M 7
=========== ======= =======
TOTAL 5.9G 4617
TOTAL, minus reserved VM space 5.8G 4617

Full Report

{"app_name":"app","timestamp":"2022-11-21 13:58:18.00 +0800","app_version":"","slice_uuid":"9ca8b767-1035-31f5-a1e3-fffc6de76bc9","build_version":"","platform":1,"bundleID":"vocabsieve","share_with_app_devs":0,"is_first_party":0,"bug_type":"309","os_version":"macOS 13.0.1 (22A400)","roots_installed":0,"name":"app","incident_id":"839714A7-9619-4B47-AE81-C8DA1AC64076"}
{
"uptime" : 1500,
"procRole" : "Foreground",
"version" : 2,
"userID" : 501,
"deployVersion" : 210,
"modelCode" : "MacBookPro18,3",
"coalitionID" : 1653,
"osVersion" : {
"train" : "macOS 13.0.1",
"build" : "22A400",
"releaseType" : "User"
},
"captureTime" : "2022-11-21 13:58:17.7933 +0800",
"incident" : "839714A7-9619-4B47-AE81-C8DA1AC64076",
"pid" : 2248,
"translated" : true,
"cpuType" : "X86-64",
"roots_installed" : 0,
"bug_type" : "309",
"procLaunch" : "2022-11-21 13:57:54.8505 +0800",
"procStartAbsTime" : 35849832940,
"procExitAbsTime" : 36399884585,
"procName" : "app",
"procPath" : "/Applications/vocabsieve.app/Contents/MacOS/app",
"bundleInfo" : {"CFBundleIdentifier":"vocabsieve"},
"storeInfo" : {"deviceIdentifierForVendor":"8CA730EC-F166-58C6-B559-DFB4D211A7F4","thirdParty":true},
"parentProc" : "launchd",
"parentPid" : 1,
"coalitionName" : "vocabsieve",
"crashReporterKey" : "F99BF2D8-40DC-FAF0-F94E-11F0E86F09D1",
"sip" : "enabled",
"exception" : {"codes":"0x0000000000000000, 0x0000000000000000","rawCodes":[0,0],"type":"EXC_CRASH","signal":"SIGABRT"},
"asi" : {"libsystem_c.dylib":["abort() called"]},
"extMods" : {"caller":{"thread_create":0,"thread_set_state":0,"task_for_pid":0},"system":{"thread_create":0,"thread_set_state":0,"task_for_pid":0},"targeted":{"thread_create":0,"thread_set_state":0,"task_for_pid":0},"warnings":0},
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"rolloutId" : "60da5e84ab0ca017dace9abf",
"factorPackIds" : {

  },
  "deploymentId" : 240000008
},
{
  "rolloutId" : "6112d17137f5d11121dcd4e2",
  "factorPackIds" : {

  },
  "deploymentId" : 240000155
}

],
"experiments" : [

]
}
}

Model: MacBookPro18,3, BootROM 8419.41.10, proc 8:6:2 processors, 16 GB, SMC
Graphics: Apple M1 Pro, Apple M1 Pro, Built-In
Display: Color LCD, 3024 x 1964 Retina, Main, MirrorOff, Online
Memory Module: LPDDR5, Samsung
AirPort: spairport_wireless_card_type_wifi (0x14E4, 0x4387), wl0: Sep 3 2022 02:35:52 version 20.10.965.9.8.7.129 FWID 01-b0e84a9b
Bluetooth: Version (null), 0 services, 0 devices, 0 incoming serial ports
Network Service: Wi-Fi, AirPort, en0
USB Device: USB31Bus
USB Device: USB31Bus
USB Device: USB31Bus
Thunderbolt Bus: Laptop, Apple Inc.
Thunderbolt Bus: Laptop, Apple Inc.
Thunderbolt Bus: Laptop, Apple Inc.

If "vocabsieve" could use .mdx dictionaries, users would benefit from the large number of dictionaries in that format.

Here are some useful codes to parse .mdx files:

https://github.com/dictlab/mdict-cpp
https://github.com/KnIfER/PlainDictionaryAPP
https://github.com/KnIfER/mdict-java

Also, the Anki add-on "Fast Word Query" provides a nice code on GitHub:
https://github.com/sth2018/FastWordQuery

I'm on Win11, v0.8.1 on vocabsieve.

In the screenshot below, I selected the word, vocabulary, in the sentence field and then for some reasons, I saw nothing in the pronunciation field. I did look it up on Forvo website and saw available pronunciations on a website.

I tried restarting my computer, reinstalling the program, and making sure the Forvo (all) option is selected in configuration window, but to no avail.

Describe the bug
When I open the application an error happens with the message: " “vocabsieve” is damaged and can’t be opened. You should move it to the Trash."

To Reproduce
Steps to reproduce the behavior:

1. Go to 'vocabsieve v0.9.2'
2. download the vocabsieve-v0.9.2-macos.dmg
3. Open with admin permission
4. See error

Desktop (please complete the following information):

• OS: Mac 12.6
• Vocabsieve version (if nightly, must be latest): 0.9.2

If the 'read from clipboard' function could be temporarily disabled, you could copy/paste from external dictionaries or web page look ups. As things are right now, if someone wants to use an external, custom dictionary using the 'open web page' option, it can' t be copy/pasted, and can only be added to the anki deck later.

An awesome tool that you made, I would like to say that before anything! Thank you! I would suggest that you make a way, that the tool can add audio to the cards, I didn't find a way to that than manually.

I am using English Wiktionary Exports wikt-en-en-2018-10-07.7z.
But the format is different, so it is a little difficult to read.
Can you make it look similar to Online Wiktionary?

Describe the bug
For any given target word, Vocabsieve is dumping into the 'Defintion' text box only one of the definitions from the Mikagu JSON. Not sure if this a bug, so apologies if not, but it's problematic.

To Reproduce
Sentence: "Este quiere que le rompamos la cabeza."
Target word: "quiere" --> lemmatized into "querer." (correct)
Defintiion given: "querer2.I. Sustantivom. — Cariño, amor." (incorrect)
Defintion in JSON file:
See bottom of this post. There are two entries. The second one only, ID 74238, is dumped. The relevant defintion is actually ID 74236, right before it in the JSON.

Expected behavior
Both definitions to be dumped and let the user select?

Desktop (please complete the following information):

• OS: Windows
• Vocabsieve version (if nightly, must be latest): 0.10.1

Mikagu JSON for target word:

{
	"id": 74237,
	"term": "querer",
	"altterm": "",
	"pronunciation": "",
	"pos": "verbo",
	"definition": "querer1. Del lat. quaerĕre 'buscar', 'pedir'. V. conjug.. U. solo en 3.ª pers. en acep. 10.I. Verbo1. tr. — Desear o apetecer.\n2. tr. — Amar, tener cariño, voluntad o inclinación a alguien o algo.\n3. tr. — Tener voluntad o determinación de ejecutar algo.\n4. tr. — Resolver, determinar.\n5. tr. — Pretender, intentar o procurar.\n6. tr. — Dicho de una cosa: Ser conveniente a otra.\n7. tr. — Dicho de una persona: Conformarse o avenirse al intento o deseo de otra.\n8. tr. — En el juego, aceptar el envite.\n9. tr. — Dicho de una persona: Dar ocasión, con lo que hace o dice, para que se ejecute algo contra ella. Este quiere que le rompamos la cabeza.\n10. tr. — Estar próximo a ser o verificarse algo. Quiere llover.\nII. adonde quiera\nadonde quiera.\nV.adondequiera\nIII. como así me lo quiero\ncomo así me lo quiero.1. Expresiónexpr. — <coloq.> Significa haber sucedido algo a medida del deseo, y como si lo hubiera dispuesto quien lo logra.\nIV. como quiera\ncomo quiera.\nV.comoquiera\nV. como quiera que\ncomo quiera que.1. Locucióna. loc. adv. — comoquiera que. U. t. c. loc. conjunt.\nb. loc. conjunt. — <desus.> aunque.\nVI. cuando quiera\ncuando quiera.\nV.cuandoquiera\nVII. cuanto quiera que\ncuanto quiera que.\nV.cuantoquiera\nVIII. do quiera\ndo quiera.\nV.doquiera\nIX. donde quiera\ndonde quiera.\nV.dondequiera\nX. no así como, o no como, quiera\nno así como, o no como, quiera.1. Locuciónlocs. adjs. — Denota ser más que regular o común aquello de que se habla. Es un literato, no así como quiera, sino de los más sobresalientes de España. La mentira es un vicio, no como quiera, sino muy odioso y despreciable.\nXI. no querer parir una cuenta\nno querer parir una cuenta.1. Locuciónloc. verb. — no parir.\nXII. que quiera, que no quiera\nque quiera, que no quiera.1. Expresiónexpr. — Sin atender a la voluntad o aprobación de alguien, convenga o no convenga con ello.\nXIII. que si quieres\nque si quieres.1. Locuciónloc. interj. — <coloq.> U. para rechazar una pretensión o para ponderar la dificultad o imposibilidad de hacer o lograr algo.\nXIV. qué quieres, o qué quieres que le haga, o que le hagamos\nqué quieres, o qué quieres que le haga, o que le hagamos.1. Expresióna. exprs. — Indican conformidad o excusa.\nb. exprs. — qué hemos de hacer.\nXV. ¿qué más quieres?\n¿qué más quieres?.1. Expresiónexpr. — U. para dar a entender que lo que alguien ha logrado es todo lo que podía desear, según su proporción y sus méritos.\nXVI. ¿qué quiere decir eso?\n¿qué quiere decir eso?.1. Expresiónexpr. — U. para avisar o amenazar para que alguien corrija o modere lo que ha dicho.\nXVII. ¿qué quiere ser esto?\n¿qué quiere ser esto?.1. Expresiónexpr. — U. para explicar la admiración o extrañeza que ocasiona algo.\nXVIII. querer bien alguien a otra persona\nquerer bien alguien a otra persona.1. Locuciónloc. verb. — Amarla.\nXIX. querer decir\nquerer decir.1. Locuciónloc. verb. — Significar, indicar, dar a entender algo. Eso quiere decir que ya no somos amigos. El concepto es oscuro, pero comprendo lo que quiere decir.\nXX. sin querer\nsin querer.1. Locuciónloc. adv. — Sin intención ni premeditación, inadvertidamente.\n",
	"examples": "",
	"audio": ""
}

{
	"id": 74238,
	"term": "querer",
	"altterm": "",
	"pronunciation": "",
	"pos": "sustantivo",
	"definition": "querer2.I. Sustantivom. — Cariño, amor.\n",
	"examples": "",
	"audio": ""
}

Right now Vocabsieve has its own internal look up, e.g., using free wikitionary definition or by importing comptaible JSON dictionary files. But if there was a way to make it extensible so that people could simply add their own python scripts it would be infinitely better.

For every language there are tons of open source scripts/apps that offer the ability to extract definitions or other information from very specific dictionaries. E.g., I like "spanishdict.com" and there are many pre-exsiting scripts that extract defintions from that site. And then one could add regex modifications to those scripts to format the text perfectly for anki.

In this case, vocabsieve wouldn't need to worry about extending its lookup feature, that could be up to individual projects that simply use code from pre-existing lookup programs.

Summary

it would be nice to have a new field "Sentence Translation" which would host the whole sentence translation, in addition to the target word translation already provided.

Upon initial card creation, a google translation api will be made for the whole sentence and the output will be captured in the new Sentence Translation field. This field should be made editable so the user can override the machine translation either manually or by copying English subtitles.

Overall this project looks really good, thanks for making it! I think this new feature will be useful in situations where the sentence structure is not obvious and will be useful for #21. Often there are English subtitles available for a show or English translation for a given text, so it would be good to capture that somewhere if required by user

Implementation notes

I think all the backbone for this should already be there, it's literally about adding a new field and utilising the google translate api. Things I can think of:

• Add new editable input on the main window. Call GTranslate api with the whole sentence as soon as Sentence field is populated
• Add new ST field on Anki template
• Add a new mapping in Settings > Anki > Field name for "Sentence Translation"

Hi thank you for this project. It seems that the wiktionary lookup implementation exits too early in some cases, and fails to return common definitions for some words.

I noticed this with the French word livre. For convenience I'll show what English Wiktionary endpoint returns for this word here, filtered to fr:

[
  {
    "partOfSpeech": "Noun",
    "language": "French",
    "definitions": [
      {
        "definition": "<a rel=\"mw:WikiLink\" href=\"/wiki/book\" title=\"book\">book</a>"
      }
    ]
  },
  {
    "partOfSpeech": "Noun",
    "language": "French",
    "definitions": [
      {
        "definition": "<a rel=\"mw:WikiLink\" href=\"/wiki/pound\" title=\"pound\">pound</a> <span class=\"gloss-brac\" about=\"#mwt36\" typeof=\"mw:Transclusion\">(</span><span class=\"gloss-content\" about=\"#mwt36\">unit of weight</span><span class=\"gloss-brac\" about=\"#mwt36\">)</span>"
      },
      {
        "definition": "<a rel=\"mw:WikiLink\" href=\"/wiki/pound\" title=\"pound\">pound</a> <span class=\"gloss-brac\" about=\"#mwt37\" typeof=\"mw:Transclusion\">(</span><span class=\"gloss-content\" about=\"#mwt37\">unit of currency</span><span class=\"gloss-brac\" about=\"#mwt37\">)</span>"
      },
      {
        "definition": "<a rel=\"mw:WikiLink\" href=\"/wiki/grade\" title=\"grade\">grade</a> <span class=\"gloss-brac\" about=\"#mwt39\" typeof=\"mw:Transclusion\">(</span><span class=\"gloss-content\" about=\"#mwt39\">level</span><span class=\"gloss-brac\" about=\"#mwt39\">)</span>"
      }
    ]
  },
  {
    "partOfSpeech": "Verb",
    "language": "French",
    "definitions": [
      {
        "definition": "<span class=\"form-of-definition use-with-mention\" about=\"#mwt45\" typeof=\"mw:Transclusion\">inflection of <span class=\"form-of-definition-link\"><i class=\"Latn mention\" lang=\"fr\"><a rel=\"mw:WikiLink\" href=\"/wiki/livrer#French\" title=\"livrer\">livrer</a></i></span>:</span><span about=\"#mwt45\">\n</span><ol about=\"#mwt45\"><li><span class=\"form-of-definition use-with-mention\"><span class=\"inflection-of-conjoined\"><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#first_person\" title=\"Appendix:Glossary\">first</a><span class=\"inflection-of-sep\">/</span><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#third_person\" title=\"Appendix:Glossary\">third-person</a></span> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#singular_number\" title=\"Appendix:Glossary\">singular</a> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#present_tense\" title=\"Appendix:Glossary\">present</a> <span class=\"inflection-of-conjoined\"><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#indicative_mood\" title=\"Appendix:Glossary\">indicative</a><span class=\"inflection-of-sep\">/</span><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#subjunctive_mood\" title=\"Appendix:Glossary\">subjunctive</a></span></span></li>\n<li><span class=\"form-of-definition use-with-mention\"><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#second_person\" title=\"Appendix:Glossary\">second-person</a> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#singular_number\" title=\"Appendix:Glossary\">singular</a> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#imperative_mood\" title=\"Appendix:Glossary\">imperative</a></span></li></ol>"
      },
      {
        "definition": "<span class=\"form-of-definition use-with-mention\"><span class=\"inflection-of-conjoined\"><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#first_person\" title=\"Appendix:Glossary\">first</a><span class=\"inflection-of-sep\">/</span><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#third_person\" title=\"Appendix:Glossary\">third-person</a></span> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#singular_number\" title=\"Appendix:Glossary\">singular</a> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#present_tense\" title=\"Appendix:Glossary\">present</a> <span class=\"inflection-of-conjoined\"><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#indicative_mood\" title=\"Appendix:Glossary\">indicative</a><span class=\"inflection-of-sep\">/</span><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#subjunctive_mood\" title=\"Appendix:Glossary\">subjunctive</a></span></span>"
      },
      {
        "definition": "<span class=\"form-of-definition use-with-mention\"><a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#second_person\" title=\"Appendix:Glossary\">second-person</a> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#singular_number\" title=\"Appendix:Glossary\">singular</a> <a rel=\"mw:WikiLink\" href=\"/wiki/Appendix:Glossary#imperative_mood\" title=\"Appendix:Glossary\">imperative</a></span>"
      }
    ]
  }
]

Here is what wiktionary("livre", "fr", lemmatize=True) returns:

{
  "word": "livrer",
  "definition": [
    {
      "pos": "Verb",
      "meaning": [
        "to deliver (a package, merchandise etc.)",
        "to hand over, deliver (someone to an enemy, police, etc.)",
        "to betray",
        "to give away (a secret etc.); to confide, reveal, drop (a hint)",
        "abandon oneself, give oneself over (\u00e0 to)",
        "(with \u00e0) to practise (a sport); be engaged in (a job, research); set up (an enquiry)"
      ]
    }
  ]
}

I would expect the noun form and its definition to appear in the result, but it is missing.

Please do not open issues for things listed here

Target 0.12.1

• Visualizer for AutoTextImporter
• Mark a list of words from file as known

Target 0.13

• Make LocalDictionary and Record modules fully threadsafe
• Better separation of logic from UI (remove various processing stuff from MultiDefinitionWidget)
• Tag source, display
• Reading source, display
• Refactor lemmatizer into source system
• Yomichan dictionary format
  • A single yomichan dictionary includes multiple types of information, like tags, readings, definitions, and lemmatization rules. The above changes are required to allow importing them. This will likely involve creating multiple entries from a single file.
• UI for tag and reading sources
• Greedy lookahead/lookbehind
• Show word knowledge in reader

Later

• A new webextension? Can use Rikaikun's method of detecting word under cursor to work as quick lookups and card adding.
  • Will require a fully functional HTTP api to be a decent experience
• Lookup import
  • Browsing history (Firefox)
  • Browsing history (Chrome)

Currently it looks rather bad. It just looks like a wall of text. Paragraph spacing is off.
Instead of trying to attempt to force everything into plaintext, the importer should instead first convert the html to markdown and then convert it back to html. This should create a clean text with appropriate tags.

Describe the bug
A clear and concise description of what the bug is.

Not able to import highlights from Koreader.

To Reproduce
Steps to reproduce the behavior:

1. Click import from koreader
2. Select where the books are in your koreader

Expected behavior
A clear and concise description of what you expected to happen.

It should go to the screen which allows me to select books to import.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: Windows 11
• Vocabsieve version (if nightly, must be latest): 0.9.2

Additional context
Add any other context about the problem here.

In the example sentence: Как не сойти с ума, когда вокруг одна лишь тьма?, the sentence contains the phrase сойти с ума. There is a Wiktionary definition available for this phrase.

However, when I double click сойти, I only get the definition for the one word, not the phrase. Ideally, the word search feature would be able to look ahead until it reached a punctuation character, and then looked up all the words leading down to the word you first selected.

Here's an example how that would work:

Sentence: чтобы хотя бы так поддержать твои старания

• I double click хотя.
• It looks up хотя бы так поддержать твои старания to see if it's a lemma or non lemma Russian word.
• No match found, continuing.
• Look up хотя бы так поддержать твои
• No match found, continuing.
• It does this until it looks up хотя бы
• I get a match, and it gives me the definition for this phrase.

The approach isn't viable when using an online dictionary. If this feature was added, you would need to make it a requirement that to use this feature, an offline dictionary is needed.

When I go to Import > Kindle Lookups then navigate to my Kindle at E:\system\vocabulary, I receive the error given above.

I am unable to see the file through file explorer, but can find it if I put the address in full. Kindle Mate has been able to sync and import the vocabulary without issue. I have also been able to use this https://henrywang.nl/kindle-vocabulary-builder-export-for-free/. The problem only happens on Vocabsieve.

Desktop (please complete the following information):

• OS: Windows 10 Pro Version 10.0.19044 Build 19044
• Vocabsieve version 0.10.1

Is your feature request related to a problem? Please describe.
Sometimes VocabSieve fails to find a definition in one of its dictionaries. I'm using external dictionaries so I know what the definition of the word should be and I'm happy to populate it myself.

This is also a potentially easy way to implement #21

Describe the solution you'd like
Allow adding cards even if a definition is not found. I.e. enable the Add note button after unsuccessful lookup.

Additionally, it would be good to clear the Definition field (as it will contain Definition for "blah" not found. Check the following:... after an unsuccessful lookup). This will make entering manual definitions easier since there will be no need to remove this text manually every time

Summary

The current implementation works well for languages that use alphabets/abugidas, but I feel there is a hole for languages where the reading is not explicit.

Example 1, would be Mandarin and Japanese. The hanzi and kanji don't have obvious pronunciations. For Chinese flash cards it is common to convert the whole sentence into pinyin. For Japanese using furigana to annotate the pronunciation of the kanji is the norm.

Example 2 would be Arabic. Arabic is an abjad, which means for most words only the consonants are written and the vowels are inferred. Arabic has optional diacritics to explicitly annotate the vowels.

Proposal

First would be adding two new fields, for my cards I use SentencePinyin and Pinyin for the reading of the sentence and the word. Something more general that would apply to all languages would be useful, but pronunciation is already used.

Second is the more difficult part, getting the readings. Chinese is relatively simple, most characters have a single reading and the alternate readings are usually clear from an adjacent character. From my understanding Japanese is much more difficult, with each kanji having multiple readings depending on context. My poor understanding of Arabic is that most words have a single reading.

From a technical perspective though, the second part would likely require a separate library and local dictionary for lookups. Fortunately I believe the only widely spoken languages that would need this support would be Chinese, Japanese, Arabic, and Hebrew. That would hopefully mean just 4 small dependencies and then requiring the user to download the supporting dictionary/binary files themselves.

I will have a look at Chinese support, but we're talking a timeline of a few months here. For testing any of the other languages we'd need speakers/learners of the language.

Some pronunciations do not get picked up when the word is in forvo.

Here is the config i am using.

Here is a sentence that does not find the two words (глазах and жемчужина)
А в глазах жемчужина слеза

here is the links to forvo
(глазах) https://forvo.com/word/%D0%B3%D0%BB%D0%B0%D0%B7%D0%B0%D1%85/#ru
(жемчужина) https://forvo.com/word/%D0%B6%D0%B5%D0%BC%D1%87%D1%83%D0%B6%D0%B8%D0%BD%D0%B0/#ru

OS: Windows 11
Vocabsieve version: 0.9.1

It would be great to have Ancient greek as its not available in the list of languages even though it is already in Wiktionary

Describe the bug
I have to click Ctrl-V or Read clipboard button for mining the sentence where I believe this could be automatic?
The window is focused on vocabsieve while the clipboard is being populated by words from another program.

Expected behavior
Automatic word mining without clicking the Read clipboard button.

Sorry, I am not a big fan of Anki, but exploring and viewing the saved database does not seem to be easy. I have to rely on sqlite to view the data.
It would be wonderful if better ways of exploring the data can be integrated into vocabsieve.

Just the word-sentence pair would be good enough: search a word and show the sentence and vice versa.

Maybe just “wishful thinking” or daydreaming: Wiktionaries in .zim format would be very useful for "vocabsieve" users.

https://en.wikipedia.org/wiki/ZIM_(file_format)

.zim files can be obtained here:
https://wiki.kiwix.org/wiki/Content_in_all_languages

and also: http://library.kiwix.org/

VocabSieve often fails to "bold" words correctly. Instead of showing the target word in "bold type", the word is shown with 2 asterisks:

To Reproduce
Steps to reproduce the behavior:

1. Use latest AppImage on Manjaro Linux
2. Choose a sentence and double click to bold the target word.
3. Sometimes, the words are not shown correctly on Anki (5% of words).

I have tried to find a reproducible pattern, but I have been unable to do so.

Most of the time the “bolding process” works correctly but othertimes it fails.

Expected behavior
Every word should appear in bold type.

Desktop:

• OS: Manjaro KDE Stable (latest)
• AppImage

Vocabsieve does not remember the settings on Manjaro KDE (latest stable).

Steps to reproduce:

1. Import 2 stardict dictionaries
2. Choose them to Definition 1 and 2 fields

After restarting Vocabsieve, the default settings appear and users have to choose again the dictionaries that they want:

This seems a regression. The problem was not present on Version 0.6

While using pacman to install vocabsieve this error occurs.

==> ERROR: A failure occurred in build().
Aborting...
error: target not found: python-lzo
error: target not found: python-readmdict
-> error making: python2-lzo (python-lzo)

Have a way to switch to a different preset with different settings for deck, dictionaries, etc.

I tried 3 files, and two of them can't be imported.
Only one file can be imported. I don't know why.
All these 3 files are downloaded from FreeLanguageTools
It seems that if I want to create anki cards, there is no option to include frequency.

Translated Report (Full Report Below)

Process: app [10689]
Path: /Applications/vocabsieve.app/Contents/MacOS/app
Identifier: vocabsieve
Version: ???
Code Type: X86-64 (Translated)
Parent Process: launchd [1]
User ID: 501

Full Report

{"app_name":"app","timestamp":"2022-12-07 00:43:54.00 +0800","app_version":"","slice_uuid":"9ca8b767-1035-31f5-a1e3-fffc6de76bc9","build_version":"","platform":1,"bundleID":"vocabsieve","share_with_app_devs":0,"is_first_party":0,"bug_type":"309","os_version":"macOS 13.0.1 (22A400)","roots_installed":0,"name":"app","incident_id":"773BA64A-5CCA-4F8B-B8B5-21FB701AF3BB"}
{
"uptime" : 31000,
"procRole" : "Foreground",
"version" : 2,
"userID" : 501,
"deployVersion" : 210,
"modelCode" : "MacBookPro18,3",
"coalitionID" : 6150,
"osVersion" : {
"train" : "macOS 13.0.1",
"build" : "22A400",
"releaseType" : "User"
},
"captureTime" : "2022-12-07 00:43:22.6774 +0800",
"incident" : "773BA64A-5CCA-4F8B-B8B5-21FB701AF3BB",
"pid" : 10689,
"translated" : true,
"cpuType" : "X86-64",
"roots_installed" : 0,
"bug_type" : "309",
"procLaunch" : "2022-12-07 00:28:23.7897 +0800",
"procStartAbsTime" : 732573884616,
"procExitAbsTime" : 754146208751,
"procName" : "app",
"procPath" : "/Applications/vocabsieve.app/Contents/MacOS/app",
"bundleInfo" : {"CFBundleIdentifier":"vocabsieve"},
"storeInfo" : {"deviceIdentifierForVendor":"8CA730EC-F166-58C6-B559-DFB4D211A7F4","thirdParty":true},
"parentProc" : "launchd",
"parentPid" : 1,
"coalitionName" : "vocabsieve",
"crashReporterKey" : "F99BF2D8-40DC-FAF0-F94E-11F0E86F09D1",
"wakeTime" : 7993,
"sleepWakeUUID" : "1ED61356-BDBA-4686-B407-5E8F28EEF19B",
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Describe the bug
The VocabSieve reader wiki (https://wiki.freelanguagetools.org/vocabsieve_reader_import) suggests correcting metadata to see unseen books. However, KOReader Vocab Builder Import not displaying PDFs even after trying correcting metadata to target language.

To Reproduce
Steps to reproduce the behavior:

1. Put relevant KOReader/book files your PC.
2. Go to the pdf's .sdr folder, open the metadata.
3. Update language fields to target language ('es' in my case)
4. Use VocabSieve to import KOReader data.
5. Don't see the book.

Expected behavior
See the book on KOReader import.

Desktop (please complete the following information):

• OS: Windows 10
• Vocabsieve version (if nightly, must be latest): 0.10.1

Additional context
I could probably use SQL to change the source book in the the vocabulary_builder SQL file to an epub. file with the correct metadata, if there is no solution to this issue.

Also, I asked about changing PDF metadata the KOReader GitHub, and if I am understanding correctly, they said that language info is absent on KOReader PDF documents: koreader/koreader#10729

Is there any way at all to import Vocab Builder words form PDFs?