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# Improve Evernote Document Loader When exporting from Evernote you may export more than one note. Currently the Evernote loader concatenates the content of all notes in the export into a single document and only attaches the name of the export file as metadata on the document. This change ensures that each note is loaded as an independent document and all available metadata on the note e.g. author, title, created, updated are added as metadata on each document. It also uses an existing optional dependency of `html2text` instead of `pypandoc` to remove the need to download the pandoc application via `download_pandoc()` to be able to use the `pypandoc` python bindings. Fixes #4493 Co-authored-by: Mike McGarry <mike.mcgarry@finbourne.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
108 lines
3.3 KiB
Plaintext
108 lines
3.3 KiB
Plaintext
{
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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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