mirror of
https://github.com/hwchase17/langchain
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aa38355999
Huge thanks to @leo-gan for improving the document loaders notebooks --------- Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com>
78 lines
2.2 KiB
Plaintext
78 lines
2.2 KiB
Plaintext
{
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"cells": [
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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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"# Confluence\n",
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"\n",
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"A loader for [Confluence](https://www.atlassian.com/software/confluence) pages.\n",
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"\n",
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"\n",
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"This currently supports both `username/api_key` and `Oauth2 login`.\n",
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"\n",
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"\n",
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"Specify a list page_ids and/or space_key to load in the corresponding pages into Document objects, if both are specified the union of both sets will be returned.\n",
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"\n",
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"\n",
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"You can also specify a boolean `include_attachments` to include attachments, this is set to False by default, if set to True all attachments will be downloaded and ConfluenceReader will extract the text from the attachments and add it to the Document object. Currently supported attachment types are: `PDF`, `PNG`, `JPEG/JPG`, `SVG`, `Word` and `Excel`.\n",
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"\n",
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"Hint: `space_key` and `page_id` can both be found in the URL of a page in Confluence - https://yoursite.atlassian.com/wiki/spaces/<space_key>/pages/<page_id>\n"
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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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"tags": []
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},
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"outputs": [],
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"source": [
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"#!pip install atlassian-python-api"
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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 langchain.document_loaders import ConfluenceLoader\n",
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"\n",
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"loader = ConfluenceLoader(\n",
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" url=\"https://yoursite.atlassian.com/wiki\",\n",
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" username=\"me\",\n",
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" api_key=\"12345\"\n",
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")\n",
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"documents = loader.load(space_key=\"SPACE\", include_attachments=True, limit=50)"
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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": "3.10.6"
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},
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"vscode": {
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"interpreter": {
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"hash": "cc99336516f23363341912c6723b01ace86f02e26b4290be1efc0677e2e2ec24"
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}
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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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