Welcome to the Slack Message Sender Template! This template is designed to help you quickly set up a REST API that can send messages to Slack channels or direct messages, and even post messages in threads. Whether you're looking to integrate Slack notifications into your workflow or create a bot that can interact with your team on Slack, this template will get you started without the need for deep technical knowledge.
To begin using this template, simply click on "Start with this Template" on the Lazy platform. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code manually.
Before you can start sending messages to Slack, you'll need to set up a Slack API token. This token allows your application to authenticate with Slack and send messages on your behalf.
Once you have your Slack API token, you'll need to add it to your Lazy app as an environment secret:
With your Slack API token set up as an environment secret, you're ready to test the application. Press the "Test" button on the Lazy platform. This will deploy your app and launch the Lazy CLI.
After pressing the "Test" button, Lazy will provide you with a dedicated server link to use the API. If you're using FastAPI, you'll also receive a link to the API documentation, which will help you understand the available endpoints and how to interact with them.
To send a message using the API, you'll need to make a POST request to the "/send_slack_message" endpoint with a JSON payload containing the 'channel', 'text', and optionally 'thread_ts' if you want to post in a thread. Here's a sample request:
{
"channel": "C1234567890",
"text": "Hello, world!",
"thread_ts": "1234567890.123456"
}
And here's what a sample response might look like:
{
"status": "success",
"data": {
"ok": true,
"channel": "C1234567890",
"ts": "1234567890.123456",
"message": {
"text": "Hello, world!"
}
}
}
If you want to integrate this Slack messaging functionality into another service or frontend, you can use the server link provided by Lazy to make HTTP requests to the API. Ensure that you handle the authentication by including the Slack API token in your environment secrets and that you format your requests according to the Slack API documentation.
For example, if you're building a web dashboard that triggers Slack notifications, you would add the server link as the endpoint in your dashboard's backend code, making sure to send a POST request with the correct JSON payload to send messages.
By following these steps, you can seamlessly integrate Slack messaging capabilities into your applications using the Lazy platform.
This app allows users to interact with a Slack bot, ask a question about the data in a table or request the table schema, and then uses the latest ChatGPT to generate a query that is executed on BigQuery to return the results. The app includes a retry mechanism for query generation in case of an error (up to two retries) and provides the LLM with the table info to generate more accurate queries. The table schema is only printed if it is successfully retrieved. All errors from retries are now passed to the LLM. The generated query is printed before the results, and the results are displayed in a pretty table format. The bot uses the Slack API to send and receive messages and parses the user's message to determine the action to take. The bot always responds in a thread to the original message.