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{
"cells": [
{
"cell_type": "markdown",
"id": "9fdbd55d",
"metadata": {},
"source": [
"# Email\n",
"\n",
"This notebook shows how to load email (`.eml`) files."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "40cd9806",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import UnstructuredEmailLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2d20b852",
"metadata": {},
"outputs": [],
"source": [
"loader = UnstructuredEmailLoader('example_data/fake-email.eml')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "579fa702",
"metadata": {},
"outputs": [],
"source": [
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "90c1d899",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='This is a test email to use for unit tests.\\n\\nImportant points:\\n\\nRoses are red\\n\\nViolets are blue', lookup_str='', metadata={'source': 'example_data/fake-email.eml'}, lookup_index=0)]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data"
]
},
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{
"cell_type": "markdown",
"id": "8bf50cba",
"metadata": {},
"source": [
"## Retain Elements\n",
"\n",
"Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b9592eaf",
"metadata": {},
"outputs": [],
"source": [
"loader = UnstructuredEmailLoader('example_data/fake-email.eml', mode=\"elements\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "0b16d03f",
"metadata": {},
"outputs": [],
"source": [
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "d7bdc5e5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Document(page_content='This is a test email to use for unit tests.', lookup_str='', metadata={'source': 'example_data/fake-email.eml'}, lookup_index=0)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[0]"
]
},
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{
"cell_type": "code",
"execution_count": null,
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"id": "6a074515",
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"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"version": "3.9.1"
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}
},
"nbformat": 4,
"nbformat_minor": 5
}