Generate Content from Text with Google Gemini API on New Updated Record (Instant, of Selectable Type) from Salesforce API

Pipedream makes it easy to connect APIs for Google Gemini, Salesforce and 2,400+ other apps remarkably fast.

Trigger workflow on

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

Next, do this

Generate Content from Text with the Google Gemini API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

Getting Started#

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

Select this integration
Configure the New Updated 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 Watch
Configure the Generate Content from Text action
1. Connect your Google Gemini account
2. Select a Model
3. Configure Prompt Text
4. Optional- Configure JSON Output
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 Updated Record (Instant, of Selectable Type) on Salesforce

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

Version:0.2.0

Key:salesforce_rest_api-record-updated-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";
import constants from "../../common/constants.mjs";
const { salesforce } = common.props;

export default {
  ...common,
  type: "source",
  name: "New Updated Record (Instant, of Selectable Type)",
  key: "salesforce_rest_api-record-updated-instant",
  description: "Emit new event when a record of the selected type is updated. [See the documentation](https://sforce.co/3yPSJZy)",
  version: "0.2.0",
  props: {
    ...common.props,
    fields: {
      propDefinition: [
        salesforce,
        "field",
        ({ objectType }) => ({
          objectType,
          filter: ({ updateable }) => updateable,
        }),
      ],
      label: "Fields To Watch",
      type: "string[]",
      optional: true,
      description: "If specified, events will only be emitted if at least one of the selected fields is updated. This filter is only available when a webhook is created successfully.",
    },
  },
  methods: {
    ...common.methods,
    generateWebhookMeta(data) {
      const nameField = this.getNameField();
      const { New: newObject } = data.body;
      const {
        LastModifiedDate: lastModifiedDate,
        Id: id,
        [nameField]: name,
      } = newObject;
      const entityType = startCase(this.objectType);
      const summary = `${entityType} updated: ${name}`;
      const ts = Date.parse(lastModifiedDate);
      const compositeId = `${id}-${ts}`;
      return {
        id: compositeId,
        summary,
        ts,
      };
    },
    generateTimerMeta(item, fieldName) {
      const { objectType } = this;

      const {
        LastModifiedDate: lastModifiedDate,
        [fieldName]: name,
        Id: id,
      } = item;

      const entityType = startCase(objectType);
      const summary = `${entityType} updated: ${name}`;
      const ts = Date.parse(lastModifiedDate);
      return {
        id: `${id}-${ts}`,
        summary,
        ts,
      };
    },
    getEventType() {
      return "updated";
    },
    isEventRelevant(changedFields) {
      const { fields } = this;
      return fields?.length
        ? Object.keys(changedFields).some((key) => fields.includes(key))
        : true;
    },
    getChangedFields(body) {
      return Object.entries(body.New).filter(([
        key,
        value,
      ]) => {
        const oldValue = body.Old[key];
        return (
          value !== undefined
          && oldValue !== undefined
          && JSON.stringify(value) !== JSON.stringify(oldValue)
        );
      })
        .reduce((obj, [
          key,
          value,
        ]) => {
          obj[key] = {
            old: body.Old[key],
            new: value,
          };
          return obj;
        }, {});
    },
    processWebhookEvent(event) {
      const { body } = event;
      const changedFields = this.getChangedFields(body);
      if (this.isEventRelevant(changedFields)) {
        const meta = this.generateWebhookMeta(event);
        this.$emit({
          ...body,
          changedFields,
        }, meta);
      }
    },
    async processTimerEvent(eventData) {
      const {
        getNameField,
        getObjectTypeColumns,
        paginate,
        objectType,
        setLatestDateCovered,
        generateTimerMeta,
        $emit: emit,
      } = this;

      const {
        startTimestamp,
        endTimestamp,
      } = eventData;

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

      const events = await paginate({
        objectType,
        startTimestamp,
        endTimestamp,
        columns,
        dateFieldName: constants.FIELD_NAME.LAST_MODIFIED_DATE,
      });

      const [
        latestEvent,
      ] = events;

      if (latestEvent?.LastModifiedDate) {
        const latestDateCovered = new Date(latestEvent.LastModifiedDate);
        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;

      const { fields } = await getObjectTypeDescription(objectType);
      const 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 Watch	`fields`	`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#

Generate Content from Text on Google Gemini

Description:Generates content from text input using the Google Gemini API. [See the documentation](https://ai.google.dev/tutorials/rest_quickstart#text-only_input)

Version:0.1.1

Key:google_gemini-generate-content-from-text

View on GitHub

Google Gemini Overview#

The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.

Action Code#

import common from "../common/generate-content.mjs";
import utils from "../../common/utils.mjs";

export default {
  ...common,
  key: "google_gemini-generate-content-from-text",
  name: "Generate Content from Text",
  description: "Generates content from text input using the Google Gemini API. [See the documentation](https://ai.google.dev/tutorials/rest_quickstart#text-only_input)",
  version: "0.1.1",
  type: "action",
  props: {
    ...common.props,
    text: {
      propDefinition: [
        common.props.app,
        "text",
      ],
    },
    responseFormat: {
      propDefinition: [
        common.props.app,
        "responseFormat",
      ],
    },
  },
  async run({ $ }) {
    const {
      app,
      model,
      text,
      responseFormat,
      responseSchema,
      maxOutputTokens,
      temperature,
      topP,
      topK,
      stopSequences,
    } = this;

    const response = await app.generateContent({
      $,
      model,
      data: {
        contents: [
          {
            parts: [
              {
                text,
              },
            ],
          },
        ],
        ...(
          responseFormat || maxOutputTokens || temperature || topP || topK || stopSequences?.length
            ? {
              generationConfig: {
                responseMimeType: "application/json",
                responseSchema: utils.parse(responseSchema),
                maxOutputTokens,
                temperature,
                topP,
                topK,
                stopSequences,
              },
            }
            : {}
        ),
      },
    });

    $.export("$summary", "Successfully generated content from text input.");

    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
Google Gemini	`app`	`app`	This component uses the Google Gemini app.
Model	`model`	`string`	Select a value from the drop down menu.
Prompt Text	`text`	`string`	The text to use as the prompt for content generation
JSON Output	`responseFormat`	`boolean`	Enable to receive responses in structured JSON format instead of plain text. Useful for automated processing, data extraction, or when you need to parse the response programmatically. You can optionally define a specific schema for the response structure.

Action Authentication#

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