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* Added Slack Docs! * update * add users * update * update --------- Co-authored-by: AstrakhantsevaAA <[email protected]>
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docs/website/docs/dlt-ecosystem/verified-sources/slack.md
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--- | ||
title: Slack | ||
description: dlt verified source for Slack API | ||
keywords: [slack api, slack verified source, slack] | ||
--- | ||
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# Slack | ||
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:::info Need help deploying these sources, or figuring out how to run them in your data stack? | ||
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[Join our Slack community](https://dlthub-community.slack.com/join/shared_invite/zt-1slox199h-HAE7EQoXmstkP_bTqal65g) | ||
or [book a call](https://calendar.app.google/kiLhuMsWKpZUpfho6) with our support engineer Adrian. | ||
::: | ||
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[Slack](https://slack.com/) is a popular messaging and collaboration platform for teams and organizations. | ||
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This Slack `dlt` verified source and | ||
[pipeline example](https://github.com/dlt-hub/verified-sources/blob/master/sources/slack_pipeline.py) | ||
loads data using “Slack API” to the destination of your choice. | ||
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Sources and resources that can be loaded using this verified source are: | ||
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| Name | Description | | ||
|-----------------------|------------------------------------------------------------------------------------| | ||
| slack | Retrives all the Slack data: channels, messages for selected channels, users, logs | | ||
| channels | Retrives all the channels data | | ||
| users | Retrives all the users info | | ||
| get_messages_resource | Retrives all the messages for a given channel | | ||
| access_logs | Retrives the access logs | | ||
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## Setup Guide | ||
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### Grab user OAuth token | ||
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To set up the pipeline, create a Slack app in your workspace to obtain a user token for accessing the Slack API. | ||
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1. Navigate to your Slack workspace and click on the name at the top-left. | ||
1. Select Tools > Customize Workspace. | ||
1. From the top-left Menu, choose Configure apps. | ||
1. Click Build (top-right) > Create a New App. | ||
1. Opt for "From scratch", set the "App Name", and pick your target workspace. | ||
1. Confirm with Create App. | ||
1. Navigate to OAuth and Permissions under the Features section. | ||
1. Assign the following scopes: | ||
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| Name | Description | | ||
|------------------|-----------------------------------------------------------------------------------| | ||
| admin | Administer a workspace | | ||
| channels:history | View messages and other content in public channels | | ||
| groups:history | View messages and other content in private channels (where the app is added) | | ||
| im:history | View messages and other content in direct messages (where the app is added) | | ||
| mpim:history | View messages and other content in group direct messages (where the app is added) | | ||
| channels:read | View basic information about public channels in a workspace | | ||
| groups:read | View basic information about private channels (where the app is added) | | ||
| im:read | View basic information about direct messages (where the app is added) | | ||
| mpim:read | View basic information about group direct messages (where the app is added) | | ||
| users:read | View people in a workspace | | ||
> Note: These scopes are adjustable; tailor them to your needs. | ||
1. From "OAuth & Permissions" on the left, add the scopes and copy the User OAuth Token. | ||
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> Note: The Slack UI, which is described here, might change. The official guide is available at this [link](https://api.slack.com/start/quickstart). | ||
### Initialize the verified source | ||
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To get started with your data pipeline, follow these steps: | ||
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1. Enter the following command: | ||
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```bash | ||
dlt init slack duckdb | ||
``` | ||
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[This command](../../reference/command-line-interface) will initialize | ||
[the pipeline example](https://github.com/dlt-hub/verified-sources/blob/master/sources/slack_pipeline.py) | ||
with Google Sheets as the [source](../../general-usage/source) and | ||
[duckdb](../destinations/duckdb.md) as the [destination](../destinations). | ||
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1. If you'd like to use a different destination, simply replace `duckdb` with the name of your | ||
preferred [destination](../destinations). | ||
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1. After running this command, a new directory will be created with the necessary files and | ||
configuration settings to get started. | ||
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For more information, read the | ||
[Walkthrough: Add a verified source.](../../walkthroughs/add-a-verified-source) | ||
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### Add credentials | ||
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1. In the `.dlt` folder, there's a file called `secrets.toml`. It's where you store sensitive | ||
information securely, like access tokens. Keep this file safe. | ||
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Here's its format for service account authentication: | ||
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```toml | ||
[sources.slack] | ||
access_token = "Please set me up!" # please set me up! | ||
``` | ||
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1. Copy the user Oauth token you [copied above](#grab-user-oauth-token). | ||
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1. Finally, enter credentials for your chosen destination as per the [docs](../destinations/). | ||
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## Run the pipeline | ||
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1. Before running the pipeline, ensure that you have installed all the necessary dependencies by | ||
running the command: | ||
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```bash | ||
pip install -r requirements.txt | ||
``` | ||
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1. You're now ready to run the pipeline! To get started, run the following command: | ||
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```bash | ||
python slack_pipeline.py | ||
``` | ||
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1. Once the pipeline has finished running, you can verify that everything loaded correctly by using | ||
the following command: | ||
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```bash | ||
dlt pipeline <pipeline_name> show | ||
``` | ||
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For example, the `pipeline_name` for the above pipeline example is `slack`, you | ||
may also use any custom name instead. | ||
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For more information, read the [Walkthrough: Run a pipeline](../../walkthroughs/run-a-pipeline). | ||
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## Sources and resources | ||
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`dlt` works on the principle of [sources](../../general-usage/source) and | ||
[resources](../../general-usage/resource). | ||
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### Source `slack` | ||
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It retrieves data from Slack's API and fetches the Slack data such as channels, messages for selected channels, users, logs. | ||
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```python | ||
@dlt.source(name="slack", max_table_nesting=2) | ||
def slack_source( | ||
page_size: int = MAX_PAGE_SIZE, | ||
access_token: str = dlt.secrets.value, | ||
start_date: Optional[TAnyDateTime] = DEFAULT_START_DATE, | ||
end_date: Optional[TAnyDateTime] = None, | ||
selected_channels: Optional[List[str]] = dlt.config.value, | ||
) -> Iterable[DltResource]: | ||
``` | ||
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`page_size`: Maximum items per page (default: 1000). | ||
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`access_token`: OAuth token for authentication. | ||
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`start_date`: Range start. (default: January 1, 2000). | ||
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`end_date`: Range end. | ||
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`selected_channels`: Channels to load; defaults to all if unspecified. | ||
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### Resource `channels` | ||
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This function yields all the channels data as `dlt` resource. | ||
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```python | ||
@dlt.resource(name="channels", primary_key="id", write_disposition="replace") | ||
def channels_resource() -> Iterable[TDataItem]: | ||
``` | ||
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### Resource `users` | ||
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This function yields all the users data as `dlt` resource. | ||
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```python | ||
@dlt.resource(name="users", primary_key="id", write_disposition="replace") | ||
def users_resource() -> Iterable[TDataItem]: | ||
``` | ||
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### Resource `get_messages_resource` | ||
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This method fetches messages for a specified channel from the Slack API. It creates a resource for each channel with channel's name. | ||
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```python | ||
def get_messages_resource( | ||
channel_data: Dict[str, Any], | ||
created_at: dlt.sources.incremental[DateTime] = dlt.sources.incremental( | ||
"ts", | ||
initial_value=start_dt, | ||
end_value=end_dt, | ||
allow_external_schedulers=True, | ||
), | ||
) -> Iterable[TDataItem]: | ||
``` | ||
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`channel_data`: A dictionary detailing a specific channel to determine where messages are fetched from. | ||
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`created_at`: An optional parameter leveraging dlt.sources.incremental to define the timestamp range for message retrieval. Sub-arguments include: | ||
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- `ts`: Timestamp from the Slack API response. | ||
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- `initial_value`: Start of the timestamp range, defaulting to start_dt in slack_source. | ||
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- `end_value`: Timestamp range end, defaulting to end_dt in slack_source. | ||
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- `allow_external_schedulers`: A boolean that, if True, permits [external schedulers](../../general-usage/incremental-loading#using-airflow-schedule-for-backfill-and-incremental-loading) to manage incremental loading. | ||
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### Resource `access_logs` | ||
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This method retrieves access logs from the Slack API. | ||
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```python | ||
@dlt.resource( | ||
name="access_logs", | ||
selected=False, | ||
primary_key="user_id", | ||
write_disposition="append", | ||
) | ||
# it is not an incremental resource it just has a end_date filter | ||
def logs_resource() -> Iterable[TDataItem]: | ||
``` | ||
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`selected`: A boolean set to False, indicating the resource isn't loaded by default. | ||
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`primary_key`: The unique identifier is "user_id". | ||
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`write_disposition`: Set to "append", allowing new data to join existing data in the destination. | ||
> Note: This resource may not function in the pipeline or tests due to its paid status. An error arises for non-paying accounts. | ||
## Customization | ||
### Create your own pipeline | ||
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If you wish to create your own pipelines, you can leverage source and resource methods from this | ||
verified source. | ||
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1. Configure the pipeline by specifying the pipeline name, destination, and dataset as follows: | ||
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```python | ||
pipeline = dlt.pipeline( | ||
pipeline_name="slack", # Use a custom name if desired | ||
destination="duckdb", # Choose the appropriate destination (e.g., duckdb, redshift, post) | ||
dataset_name="slack_data" # Use a custom name if desired | ||
) | ||
``` | ||
1. To load Slack resources from the specified start date: | ||
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```python | ||
source = slack_source(page_size=1000, start_date=datetime(2023, 9, 1), end_date=datetime(2023, 9, 8)) | ||
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# Enable below to load only 'access_logs', available for paid accounts only. | ||
# source.access_logs.selected = True | ||
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# It loads data starting from 1st September 2023 to 8th Sep 2023. | ||
load_info = pipeline.run(source) | ||
print(load_info) | ||
``` | ||
> Subsequent runs will load only items updated since the previous run. | ||
1. To load data from selected Slack channels from the specified start date: | ||
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```python | ||
# To load data from selected channels. | ||
selected_channels=["general", "random"] # Enter the channel names here. | ||
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source = slack_source( | ||
page_size=20, | ||
selected_channels=selected_channels, | ||
start_date=datetime(2023, 9, 1), | ||
end_date=datetime(2023, 9, 8), | ||
) | ||
# It loads data starting from 1st September 2023 to 8th Sep 2023 from the channels: "general" and "random". | ||
load_info = pipeline.run(source) | ||
print(load_info) | ||
``` | ||
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1. To load only messages from selected Slack resources: | ||
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```python | ||
# To load data from selected channels. | ||
selected_channels=["general", "random"] # Enter the channel names here. | ||
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source = slack_source( | ||
page_size=20, | ||
selected_channels=selected_channels, | ||
start_date=datetime(2023, 9, 1), | ||
end_date=datetime(2023, 9, 8), | ||
) | ||
# It loads only massages from the channel "general". | ||
load_info = pipeline.run(source.with_resources("general")) | ||
print(load_info) | ||
``` |
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