183 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
		
		
			
		
	
	
			183 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
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								{
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								 "cells": [
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "cd .."
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "# Reading Collections\n",
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								    "\n",
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								    "This notebook allows to view your collections. Note currently we are using the anki from the submodule. In the future, we should be able to use the anki installed using `pip install anki` however the current collections do not seem compatibile with the latest library."
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "# Install Anki in venv\n",
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								    "!pip3 install anki"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "from anki import Collection\n",
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								    "from anki.utils import intTime\n",
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								    "import time"
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "### Open Database\n",
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								    "\n",
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								    "Make sure you close the database otherwise it will be locked and you will not be able to use your sync server."
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "collection_path = \"./collections/anki/collection.anki2\"\n",
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								    "col = Collection(collection_path)"
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "### View Collections"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "print(f'Collection Name: {col.name()}')\n",
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								    "print(f'Cards in Collection: {col.noteCount()}')"
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "### View Decks"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "print('Decks:')\n",
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								    "for deck in col.decks.all():\n",
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								    "    print(f\"{deck['id']}. {deck['name']}\")"
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "### View Cards"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "deck_id = None\n",
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								    "print('Cards in deck:')\n",
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								    "i = 0\n",
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								    "for card_id in col.decks.cids(deck_id):\n",
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								    "    i+=1\n",
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								    "    print(f'{i}. {card_id}')"
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "### View Notes"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "card_id = None\n",
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								    "print('Notes in card:')\n",
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								    "note_id = col.getCard(card_id).nid\n",
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								    "print(f\"1. Front: {col.getNote(note_id).fields[0]}\")\n",
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								    "print(f\"2. Back: {col.getNote(note_id).fields[1]}\")"
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								   ]
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								  },
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								  {
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								   "cell_type": "markdown",
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								   "metadata": {},
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								   "source": [
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								    "### Close Database"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": [
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								    "col.close()"
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								   ]
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								  },
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								  {
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								   "cell_type": "code",
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								   "execution_count": null,
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								   "metadata": {},
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								   "outputs": [],
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								   "source": []
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								  }
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								 ],
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								 "metadata": {
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								  "kernelspec": {
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								   "display_name": "Python 3",
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								   "language": "python",
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								   "name": "python3"
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								  },
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								  "language_info": {
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								   "codemirror_mode": {
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								    "name": "ipython",
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						||
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								    "version": 3
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								   },
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								   "file_extension": ".py",
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								   "mimetype": "text/x-python",
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								   "name": "python",
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								   "nbconvert_exporter": "python",
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								   "pygments_lexer": "ipython3",
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								   "version": "3.7.6"
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								  }
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								 },
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								 "nbformat": 4,
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								 "nbformat_minor": 4
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								}
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