← Google Calendar + Azure OpenAI integrations

Classify Items Into Categories with Azure OpenAI API on New Event Matching a Search from Google Calendar API

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New Event Matching a Search from the Google Calendar API
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Classify Items Into Categories with the Azure OpenAI API
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Getting Started

This integration creates a workflow with a Google Calendar trigger and Azure OpenAI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Event Matching a Search trigger
    1. Connect your Google Calendar account
    2. Configure timer
    3. Optional- Select a Calendar ID
    4. Optional- Configure Query
  3. Configure the Classify Items Into Categories action
    1. Connect your Azure OpenAI account
    2. Configure Items
    3. Configure Categories
    4. Optional- Configure Temperature
    5. Optional- Configure N
    6. Optional- Configure Stream
    7. Optional- Configure Stop
    8. Optional- Configure Max Tokens
    9. Optional- Configure Presence Penalty
    10. Optional- Configure Frequency Penalty
    11. Optional- Configure User
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event when a Google Calendar event is created that matches a search
Version:0.1.11
Key:google_calendar-new-event-search

Google Calendar Overview

The Google Calendar API lets you dip into the powerhouse of scheduling, allowing for the reading, creation, and manipulation of events and calendars directly from your applications. Through Pipedream, you can seamlessly integrate Google Calendar into a myriad of workflows, automating event management, syncing with other services, setting up custom reminders, or even collating data for reporting. The key here is to streamline your calendar-related processes, ensuring that your time management is as efficient and automated as possible.

Trigger Code

import common from "../common/common.mjs";

export default {
  ...common,
  key: "google_calendar-new-event-search",
  name: "New Event Matching a Search",
  description: "Emit new event when a Google Calendar event is created that matches a search",
  version: "0.1.11",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    calendarId: {
      propDefinition: [
        common.props.googleCalendar,
        "calendarId",
      ],
    },
    q: {
      propDefinition: [
        common.props.googleCalendar,
        "q",
      ],
    },
  },
  methods: {
    ...common.methods,
    getConfig({ past }) {
      const updatedMin = past.toISOString();
      return {
        calendarId: this.calendarId,
        updatedMin,
        q: this.q,
        singleEvents: true,
        orderBy: "startTime",
      };
    },
    isRelevant(event, { past }) {
      const created = new Date(event.created);
      // created since last run and not cancelled
      return created > past && event.status !== "cancelled";
    },
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
Google CalendargoogleCalendarappThis component uses the Google Calendar app.
timer$.interface.timer
Calendar IDcalendarIdstringSelect a value from the drop down menu.
Queryqstring

Free text search terms to find events that match these terms in any field, except for extended properties. Optional.

Trigger Authentication

Google Calendar uses OAuth authentication. When you connect your Google Calendar account, Pipedream will open a popup window where you can sign into Google Calendar and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Google Calendar API.

Pipedream requests the following authorization scopes when you connect your account:

https://www.googleapis.com/auth/calendar.eventshttps://www.googleapis.com/auth/calendar.readonlyhttps://www.googleapis.com/auth/calendar.settings.readonlyemailprofile

About Google Calendar

With Google Calendar, you can quickly schedule meetings and events and get reminders about upcoming activities, so you always know what’s next.

Action

Description:Classify items into specific categories. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)
Version:0.0.1
Key:azure_openai_service-classify-items-into-categories

Azure OpenAI Overview

The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.

Action Code

import azureOpenAI from "../../azure_openai_service.app.mjs";
import common from "../common/common-helper.mjs";

export default {
  ...common,
  key: "azure_openai_service-classify-items-into-categories",
  name: "Classify Items Into Categories",
  description: "Classify items into specific categories. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)",
  version: "0.0.1",
  type: "action",
  props: {
    azureOpenAI,
    items: {
      label: "Items",
      description: "Items to categorize",
      type: "string[]",
    },
    categories: {
      label: "Categories",
      description: "Categories to classify items into",
      type: "string[]",
    },
    ...common.props,
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to categorize items into specific categories and produce ONLY JSON. The user will provide both the items and categories. Please only categorize items into the specific categories, and no others, and output ONLY JSON.";
    },
    outputFormat() {
      return "Please only categorize items into the specific categories, and no others. Output a valid JSON string — an array of objects, where each object has the following properties: item, category. Do not return any English text other than the JSON, either before or after the JSON. I need to parse the response as JSON, and parsing will fail if you return any English before or after the JSON";
    },
    userMessage() {
      return `Categorize each of the following items:\n\n${this.items.join("\n")}\n\ninto one of the following categories:\n\n${this.categories.join("\n")}\n\n${this.outputFormat()}}`;
    },
    summary() {
      return `Categorized ${this.items.length} items into ${this.categories.length} categories.`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      const assistantResponse = response.choices?.[0]?.message?.content;
      let categorizations = assistantResponse;
      try {
        const categorizationJSON = assistantResponse.substring(
          assistantResponse.indexOf("```json") + 7,
          assistantResponse.lastIndexOf("```"),
        ).trim();
        categorizations = JSON.parse(categorizationJSON);
      } catch (err) {
        console.log("Failed to parse output, assistant returned malformed JSON");
      }
      return {
        categorizations,
        messages,
      };
    },
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
Azure OpenAIazureOpenAIappThis component uses the Azure OpenAI app.
Itemsitemsstring[]

Items to categorize

Categoriescategoriesstring[]

Categories to classify items into

Temperaturetemperaturestring

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Nninteger

How many completions to generate

Streamstreamboolean

If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.

Stopstopstring

Up to 4 sequences where the API will stop generating further tokens.

Max TokensmaxTokensinteger

The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens).

Presence PenaltypresencePenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

Frequency PenaltyfrequencyPenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

Useruserstring

A unique identifier representing your end-user, which can help Azure OpenAI to monitor and detect abuse.

Action Authentication

Azure OpenAI uses API keys for authentication. When you connect your Azure OpenAI account, Pipedream securely stores the keys so you can easily authenticate to Azure OpenAI APIs in both code and no-code steps.

About Azure OpenAI

Apply large language models and generative AI to a variety of use cases

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