Slack Reader¶

Demonstrates our Slack data connector

If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

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%pip install llama-index-readers-slack

%pip install llama-index-readers-slack

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!pip install llama-index

!pip install llama-index

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import logging
import sys

logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))

import logging import sys logging.basicConfig(stream=sys.stdout, level=logging.INFO) logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))

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from llama_index.core import SummaryIndex
from llama_index.readers.slack import SlackReader
from IPython.display import Markdown, display
import os

from llama_index.core import SummaryIndex from llama_index.readers.slack import SlackReader from IPython.display import Markdown, display import os

Load data using Channel IDs

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slack_token = os.getenv("SLACK_BOT_TOKEN")
channel_ids = ["<channel_id>"]
documents = SlackReader(slack_token=slack_token).load_data(
    channel_ids=channel_ids
)

slack_token = os.getenv("SLACK_BOT_TOKEN") channel_ids = [""] documents = SlackReader(slack_token=slack_token).load_data( channel_ids=channel_ids )

Load data using Channel Names/Regex Patterns

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slack_token = os.getenv("SLACK_BOT_TOKEN")
channel_patterns = ["<channel_name>", "<regex_pattern>"]
slack_reader = SlackReader(slack_token=slack_token)
channel_ids = slack_reader.get_channel_ids(channel_patterns=channel_patterns)
documents = slack_reader.load_data(channel_ids=channel_ids)

slack_token = os.getenv("SLACK_BOT_TOKEN") channel_patterns = ["", ""] slack_reader = SlackReader(slack_token=slack_token) channel_ids = slack_reader.get_channel_ids(channel_patterns=channel_patterns) documents = slack_reader.load_data(channel_ids=channel_ids)

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index = SummaryIndex.from_documents(documents)

index = SummaryIndex.from_documents(documents)

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# set Logging to DEBUG for more detailed outputs
query_engine = index.as_query_engine()
response = query_engine.query("<query_text>")

# set Logging to DEBUG for more detailed outputs query_engine = index.as_query_engine() response = query_engine.query("")

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display(Markdown(f"<b>{response}</b>"))

display(Markdown(f"{response}"))