183 lines
3.6 KiB
Plaintext
183 lines
3.6 KiB
Plaintext
{
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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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"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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