Message Chatbot with Stammer.ai API on New Record (Instant, of Selectable Type) from Salesforce API

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New Record (Instant, of Selectable Type) from the Salesforce API

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Message Chatbot with the Stammer.ai API

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Getting Started#

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

Select this integration
Configure the New Record (Instant, of Selectable Type) trigger
1. Connect your Salesforce account
2. Configure timer
3. Select a Object Type
4. Optional- Select one or more Fields to Obtain
Configure the Message Chatbot action
1. Connect your Stammer.ai account
2. Configure Chatbot UUID
3. Configure Query
4. Configure User Key
Deploy the workflow
Send a test event to validate your setup
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#

New Record (Instant, of Selectable Type) on Salesforce

Description:Emit new event when a record of the selected object type is created. [See the documentation](https://sforce.co/3yPSJZy)

Version:0.2.0

Key:salesforce_rest_api-new-record-instant

View on GitHub

Salesforce Overview#

The Salesforce (REST API) provides a powerful platform for creating and managing customer relationships with a wide array of features like data manipulation, querying, and complex automation. With Pipedream's serverless execution, you can create workflows that automate your sales processes, sync data with other platforms, enhance customer engagement, and trigger actions based on specific events. Dive into Salesforce data, streamline lead management, track customer interactions, and push or pull data to or from Salesforce seamlessly.

Trigger Code#

import startCase from "lodash/startCase.js";
import common from "../common.mjs";

export default {
  ...common,
  type: "source",
  name: "New Record (Instant, of Selectable Type)",
  key: "salesforce_rest_api-new-record-instant",
  description: "Emit new event when a record of the selected object type is created. [See the documentation](https://sforce.co/3yPSJZy)",
  version: "0.2.0",
  props: {
    ...common.props,
    fieldsToObtain: {
      propDefinition: [
        common.props.salesforce,
        "fieldsToObtain",
        (c) => ({
          objType: c.objectType,
        }),
      ],
      optional: true,
      description: "Select the field(s) to be retrieved for the records. Only applicable if the source is running on a timer. If running on a webhook, or if not specified, all fields will be retrieved.",
    },
  },
  hooks: {
    ...common.hooks,
    async deploy() {
      const objectType = this.objectType;
      const nameField = await this.salesforce.getNameFieldForObjectType(objectType);
      this.setNameField(nameField);

      // emit historical events
      const { recentItems } = await this.salesforce.listSObjectTypeIds(objectType);
      const ids = recentItems.map((item) => item.Id);
      for (const id of ids.slice(-25)) {
        const object = await this.salesforce.getSObject(objectType, id);
        const event = {
          body: {
            "New": object,
            "UserId": id,
          },
        };
        this.processWebhookEvent(event);
      }
    },
  },
  methods: {
    ...common.methods,
    generateTimerMeta(item, fieldName) {
      const { objectType } = this;
      const {
        CreatedDate: createdDate,
        [fieldName]: name,
        Id: id,
      } = item;
      const entityType = startCase(objectType);
      const summary = `New ${entityType} created: ${name ?? id}`;
      const ts = Date.parse(createdDate);
      return {
        id,
        summary,
        ts,
      };
    },
    generateWebhookMeta(data) {
      const nameField = this.getNameField();
      const { New: newObject } = data.body;
      const {
        CreatedDate: createdDate,
        Id: id,
        [nameField]: name,
      } = newObject;
      const entityType = startCase(this.objectType).toLowerCase();
      const summary = `New ${entityType} created: ${name ?? id}`;
      const ts = Date.parse(createdDate);
      return {
        id,
        summary,
        ts,
      };
    },
    getEventType() {
      return "new";
    },
    async processTimerEvent(eventData) {
      const {
        paginate,
        objectType,
        setLatestDateCovered,
        getObjectTypeColumns,
        getNameField,
        generateTimerMeta,
        $emit: emit,
      } = this;

      const {
        startTimestamp,
        endTimestamp,
      } = eventData;

      const fieldName = getNameField();
      const columns = getObjectTypeColumns();

      const events = await paginate({
        objectType,
        startTimestamp,
        endTimestamp,
        columns,
      });

      const [
        latestEvent,
      ] = events;

      if (latestEvent?.CreatedDate) {
        const latestDateCovered = new Date(latestEvent.CreatedDate);
        latestDateCovered.setSeconds(0);
        setLatestDateCovered(latestDateCovered.toISOString());
      }

      Array.from(events)
        .reverse()
        .forEach((item) => {
          const meta = generateTimerMeta(item, fieldName);
          emit(item, meta);
        });
    },
    async timerActivateHook() {
      const {
        objectType,
        getObjectTypeDescription,
        setObjectTypeColumns,
      } = this;

      let columns = this.fieldsToObtain;
      if (!columns?.length) {
        const { fields } = await getObjectTypeDescription(objectType);
        columns = fields.map(({ name }) => name);
      }

      setObjectTypeColumns(columns);
    },
  },
};

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.

Label	Prop	Type	Description
Salesforce	`salesforce`	`app`	This component uses the Salesforce app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
	`timer`	`$.interface.timer`	The timer is only used as a fallback if instant event delivery (webhook) is not available.
Object Type	`objectType`	`string`	Select a value from the drop down menu.
Fields to Obtain	`fieldsToObtain`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

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

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

About Salesforce#

Web services API for interacting with Salesforce

Action#

Message Chatbot on Stammer.ai

Description:Sends a message to your chatbot. [See the documentation](https://app.stammer.ai/en/api-docs/chatbot/message/)

Version:0.0.1

Key:stammer_ai-message-chatbot

View on GitHub

Stammer.ai Overview#

Stammer.ai API offers the ability to transcribe and analyze speech, making it invaluable for applications needing speech-to-text conversion, sentiment analysis, or keyword recognition. On Pipedream, you can harness these capabilities to automate data collection, content generation, and insight analysis. By connecting Stammer.ai with other apps, you can create powerful workflows that act on voice-driven data.

Action Code#

import stammerAi from "../../stammer_ai.app.mjs";

export default {
  key: "stammer_ai-message-chatbot",
  name: "Message Chatbot",
  description: "Sends a message to your chatbot. [See the documentation](https://app.stammer.ai/en/api-docs/chatbot/message/)",
  version: "0.0.1",
  type: "action",
  props: {
    stammerAi,
    chatbotUuid: {
      propDefinition: [
        stammerAi,
        "chatbotUuid",
      ],
    },
    query: {
      propDefinition: [
        stammerAi,
        "query",
      ],
    },
    userKey: {
      propDefinition: [
        stammerAi,
        "userKey",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.stammerAi.sendMessage({
      $,
      data: {
        chatbot_uuid: this.chatbotUuid,
        query: this.query,
        user_key: this.userKey,
      },
    });
    $.export("$summary", "Message sent to chatbot successfully");
    return response;
  },
};

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.

Label	Prop	Type	Description
Stammer.ai	`stammerAi`	`app`	This component uses the Stammer.ai app.
Chatbot UUID	`chatbotUuid`	`string`	Unique identifier (UUID) of the chatbot. You can find this UUID on the chatbot's detail page.
Query	`query`	`string`	Message or query the user intends to send to the chatbot. Must be under 2000 characters.
User Key	`userKey`	`string`	A unique identifier/string, used to distinguish users interacting with the chatbot.

Action Authentication#

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