[Feature] Add Slack Loader (#932)
Co-authored-by: Deven Patel <deven298@yahoo.com>
This commit is contained in:
@@ -21,6 +21,7 @@ Embedchain comes with built-in support for various data sources. We handle the c
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<Card title="🎥📺 youtube video" href="/data-sources/youtube-video"></Card>
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<Card title="📬 Gmail" href="/data-sources/gmail"></Card>
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<Card title="🐘 Postgres" href="/data-sources/postgres"></Card>
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<Card title="🤖 Slack" href="/data-sources/slack"></Card>
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</CardGroup>
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<br/ >
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54
docs/data-sources/slack.mdx
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54
docs/data-sources/slack.mdx
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@@ -0,0 +1,54 @@
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---
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title: '🤖 Slack'
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---
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## Pre-requisite
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- Download required packages by running `pip install --upgrade "embedchain[slack]"`.
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- Configure your slack bot token as environment variable `SLACK_USER_TOKEN`.
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- Find your user token on your [Slack Account](https://api.slack.com/authentication/token-types)
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- Make sure your slack user token includes [search](https://api.slack.com/scopes/search:read) scope.
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## Example
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1. Setup the Slack loader by configuring the Slack Webclient.
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```Python
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from embedchain.loaders.slack import SlackLoader
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os.environ["SLACK_USER_TOKEN"] = "xoxp-*"
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loader = SlackLoader()
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"""
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config = {
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'base_url': slack_app_url,
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'headers': web_headers,
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'team_id': slack_team_id,
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}
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loader = SlackLoader(config)
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"""
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```
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NOTE: you can also pass the `config` with `base_url`, `headers`, `team_id` to setup your SlackLoader.
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2. Once you setup the loader, you can create an app and load data using the above slack loader
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```Python
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import os
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from embedchain.pipeline import Pipeline as App
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app = App()
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app.add("in:random", data_type="slack", loader=loader)
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question = "Which bots are available in the slack workspace's random channel?"
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# Answer: The available bot in the slack workspace's random channel is the Embedchain bot.
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```
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3. We automatically create a chunker to chunk your slack data, however if you wish to provide your own chunker class. Here is how you can do that:
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```Python
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from embedchain.chunkers.slack import SlackChunker
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from embedchain.config.add_config import ChunkerConfig
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slack_chunker_config = ChunkerConfig(chunk_size=1000, chunk_overlap=0, length_function=len)
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slack_chunker = SlackChunker(config=slack_chunker_config)
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app.add(slack_chunker, data_type="slack", loader=loader, chunker=slack_chunker)
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```
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