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76 lines
1.9 KiB
Plaintext
76 lines
1.9 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# How to download your Discord data\n",
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"\n",
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"You can follow the below steps to download your Discord data:\n",
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"\n",
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"1. Go to your **User Settings**\n",
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"2. Then go to **Privacy and Safety**\n",
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"3. Head over to the **Request all of my Data** and click on **Request Data** button\n",
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"\n",
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"It might take 30 days for you to receive your data. You'll receive an email at the address which is registered with Discord. That email will have a download button using which you would be able to download your personal Discord data."
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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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"import pandas as pd\n",
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"import os"
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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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"path = input(\"Please enter the path to the contents of the Discord \\\"messages\\\" folder: \")\n",
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"li = []\n",
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"for f in os.listdir(path):\n",
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" expected_csv_path = os.path.join(path, f, 'messages.csv')\n",
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" csv_exists = os.path.isfile(expected_csv_path)\n",
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" if csv_exists:\n",
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" df = pd.read_csv(expected_csv_path, index_col=None, header=0)\n",
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" li.append(df)\n",
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"\n",
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"df = pd.concat(li, axis=0, ignore_index=True, sort=False)"
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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.discord import DiscordChatLoader"
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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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"loader = DiscordChatLoader(df, user_id_col=\"ID\")\n",
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"print(loader.load())"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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