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add everyting for docs
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107
docs/extras/integrations/document_loaders/evernote.ipynb
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107
docs/extras/integrations/document_loaders/evernote.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "56ac1584",
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"metadata": {},
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"source": [
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"# EverNote\n",
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"\n",
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">[EverNote](https://evernote.com/) is intended for archiving and creating notes in which photos, audio and saved web content can be embedded. Notes are stored in virtual \"notebooks\" and can be tagged, annotated, edited, searched, and exported.\n",
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"\n",
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"This notebook shows how to load an `Evernote` [export](https://help.evernote.com/hc/en-us/articles/209005557-Export-notes-and-notebooks-as-ENEX-or-HTML) file (.enex) from disk.\n",
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"\n",
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"A document will be created for each note in the export."
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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": 1,
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"id": "1a53ece0",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# lxml and html2text are required to parse EverNote notes\n",
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"# !pip install lxml\n",
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"# !pip install html2text"
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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": 2,
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"id": "88df766f",
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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},
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[Document(page_content='testing this\\n\\nwhat happens?\\n\\nto the world?**Jan - March 2022**', metadata={'source': 'example_data/testing.enex'})]"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from langchain.document_loaders import EverNoteLoader\n",
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"\n",
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"# By default all notes are combined into a single Document\n",
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"loader = EverNoteLoader(\"example_data/testing.enex\")\n",
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"loader.load()"
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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": 3,
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"id": "97a58fde",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[Document(page_content='testing this\\n\\nwhat happens?\\n\\nto the world?', metadata={'title': 'testing', 'created': time.struct_time(tm_year=2023, tm_mon=2, tm_mday=9, tm_hour=3, tm_min=47, tm_sec=46, tm_wday=3, tm_yday=40, tm_isdst=-1), 'updated': time.struct_time(tm_year=2023, tm_mon=2, tm_mday=9, tm_hour=3, tm_min=53, tm_sec=28, tm_wday=3, tm_yday=40, tm_isdst=-1), 'note-attributes.author': 'Harrison Chase', 'source': 'example_data/testing.enex'}),\n",
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" Document(page_content='**Jan - March 2022**', metadata={'title': 'Summer Training Program', 'created': time.struct_time(tm_year=2022, tm_mon=12, tm_mday=27, tm_hour=1, tm_min=59, tm_sec=48, tm_wday=1, tm_yday=361, tm_isdst=-1), 'note-attributes.author': 'Mike McGarry', 'note-attributes.source': 'mobile.iphone', 'source': 'example_data/testing.enex'})]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# It's likely more useful to return a Document for each note\n",
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"loader = EverNoteLoader(\"example_data/testing.enex\", load_single_document=False)\n",
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"loader.load()"
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]
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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 (ipykernel)",
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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": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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