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58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
"""From https://github.com/SidU/teams-langchain-js/wiki/Connecting-IFTTT-Services.
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# Creating a webhook
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- Go to https://ifttt.com/create
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# Configuring the "If This"
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- Click on the "If This" button in the IFTTT interface.
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- Search for "Webhooks" in the search bar.
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- Choose the first option for "Receive a web request with a JSON payload."
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- Choose an Event Name that is specific to the service you plan to connect to.
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This will make it easier for you to manage the webhook URL.
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For example, if you're connecting to Spotify, you could use "Spotify" as your
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Event Name.
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- Click the "Create Trigger" button to save your settings and create your webhook.
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# Configuring the "Then That"
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- Tap on the "Then That" button in the IFTTT interface.
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- Search for the service you want to connect, such as Spotify.
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- Choose an action from the service, such as "Add track to a playlist".
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- Configure the action by specifying the necessary details, such as the playlist name,
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e.g., "Songs from AI".
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- Reference the JSON Payload received by the Webhook in your action. For the Spotify
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scenario, choose "{{JsonPayload}}" as your search query.
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- Tap the "Create Action" button to save your action settings.
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- Once you have finished configuring your action, click the "Finish" button to
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complete the setup.
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- Congratulations! You have successfully connected the Webhook to the desired
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service, and you're ready to start receiving data and triggering actions 🎉
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# Finishing up
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- To get your webhook URL go to https://ifttt.com/maker_webhooks/settings
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- Copy the IFTTT key value from there. The URL is of the form
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https://maker.ifttt.com/use/YOUR_IFTTT_KEY. Grab the YOUR_IFTTT_KEY value.
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"""
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import requests
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from langchain.tools.base import BaseTool
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class IFTTTWebhook(BaseTool):
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"""IFTTT Webhook.
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Args:
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name: name of the tool
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description: description of the tool
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url: url to hit with the json event.
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"""
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url: str
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def _run(self, tool_input: str) -> str:
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body = {"this": tool_input}
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response = requests.post(self.url, data=body)
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return response.text
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async def _arun(self, tool_input: str) -> str:
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raise NotImplementedError("Not implemented.")
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