Create Social Media Post with TextCortex API on New Outbound Message (Instant) from Salesforce API

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New Outbound Message (Instant) from the Salesforce API

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Create Social Media Post with the TextCortex API

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Getting Started#

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

Select this integration
Configure the New Outbound Message (Instant) trigger
1. Connect your Salesforce account
2. Configure infoBox
Configure the Create Social Media Post action
1. Connect your TextCortex account
2. Configure Context
3. Optional- Configure Keywords
4. Optional- Configure Max Tokens
5. Select a Mode
6. Optional- Select a Model
7. Optional- Configure N
8. Optional- Select a Source Language
9. Optional- Select a Target Language
10. Optional- Configure Temperature
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 Outbound Message (Instant) on Salesforce

Description:Emit new event when a new outbound message is received in Salesforce.

Version:0.1.7

Key:salesforce_rest_api-new-outbound-message

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 { XMLParser } from "fast-xml-parser";
import salesforce from "../../salesforce_rest_api.app.mjs";

export default {
  type: "source",
  name: "New Outbound Message (Instant)",
  key: "salesforce_rest_api-new-outbound-message",
  description: "Emit new event when a new outbound message is received in Salesforce.",
  version: "0.1.7",
  dedupe: "unique",
  props: {
    db: "$.service.db",
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    salesforce,
    infoBox: {
      type: "alert",
      alertType: "info",
      content: `See Salesforce's guide on [setting up Outbound Messaging](https://sforce.co/3JbZJom).
\\
Set the Outbound Message's \`Endpoint URL\` to the endpoint of this source, which you can view after it is created.
\\
The \`Send Session ID\` option must be enabled in Salesforce for validating outbound messages.`,
    },
  },
  methods: {
    _unwrapMessage(message) {
      const parser = new XMLParser({
        removeNSPrefix: true,
      });
      const obj = parser.parse(message);
      const notifications = obj["Envelope"]["Body"].notifications;
      return notifications;
    },
    _sendHttpResponse(successValue = true, status) {
      // eslint-disable-next-line multiline-ternary
      status = status ?? (successValue ? 200 : 400);
      this.http.respond({
        status,
        body: `
          <soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/"
          xmlns:out="http://soap.sforce.com/2005/09/outbound">
            <soapenv:Header/>
            <soapenv:Body>
              <out:notificationsResponse>
                <out:Ack>${successValue}</out:Ack>
              </out:notificationsResponse>
            </soapenv:Body>
          </soapenv:Envelope>
        `,
        headers: {
          "content-type": "text/xml",
        },
      });
    },
    async _isValidSessionId(sessionId) {
      try {
        const data = await this.salesforce.getUserInfo(sessionId);
        return Boolean(data);
      } catch (err) {
        console.log("Error validating SessionId:", err);
        return false;
      }
    },
    async _isValidSource(data) {
      const { SessionId: sessionId } = data;
      if (!sessionId) {
        throw new Error("The outbound message is missing a Session ID. Please configure the outbound message to send Session ID to validate the webhook source.");
      }

      return this._isValidSessionId(sessionId);
    },
    generateMeta(data) {
      const {
        ActionId: actionId,
        Notification: { Id: eventId },
      } = data;
      const id = `${eventId}-${actionId}`;
      const summary = JSON.stringify(data);
      const ts = Date.now();
      return {
        id,
        summary,
        ts,
      };
    },
  },
  async run(event) {
    const { bodyRaw } = event;
    this._sendHttpResponse(true);
    const data = this._unwrapMessage(bodyRaw);
    if (!(await this._isValidSource(data))) {
      console.log("Skipping event from unrecognized source");
      return;
    }

    let notifications = data.Notification;
    if (!Array.isArray(notifications)) {
      notifications = [
        data.Notification,
      ];
    }

    notifications.forEach((n) => {
      const notification = Object.assign(data, {
        Notification: n,
      });
      this.$emit(notification, this.generateMeta(notification));
    });
  },
};

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
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.
Salesforce	`salesforce`	`app`	This component uses the Salesforce app.

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#

Create Social Media Post on TextCortex

Description:Create a social media post. [See the documentation](https://docs.textcortex.com/api/paths/texts-social-media-posts/post)

Version:0.0.1

Key:textcortex-create-social-media-post

View on GitHub

TextCortex Overview#

The TextCortex API enables automated creation of human-like text, making it a powerful tool for a variety of text generation tasks like drafting emails, creating content, or generating product descriptions. With Pipedream, you can integrate TextCortex into serverless workflows to harness AI writing assistance, trigger content creation based on events, or enhance data with generated text. The API's capability enhances automation and can be combined with other apps for more complex tasks.

Action Code#

import app from "../../textcortex.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "textcortex-create-social-media-post",
  name: "Create Social Media Post",
  description: "Create a social media post. [See the documentation](https://docs.textcortex.com/api/paths/texts-social-media-posts/post)",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    context: {
      type: "string",
      label: "Context",
      description: "The context of the social media post.",
    },
    keywords: {
      type: "string[]",
      label: "Keywords",
      description: "Keywords to be included in the post.",
      optional: true,
    },
    maxTokens: {
      propDefinition: [
        app,
        "maxTokens",
      ],
    },
    mode: {
      type: "string",
      label: "Mode",
      description: "The platform, e.g. `twitter` to generate a Tweet. Allowed values: `twitter`, `linkedin`",
      options: Object.values(constants.SOCIAL_MEDIA_MODE),
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    n: {
      propDefinition: [
        app,
        "n",
      ],
    },
    sourceLang: {
      propDefinition: [
        app,
        "sourceLang",
      ],
    },
    targetLang: {
      propDefinition: [
        app,
        "targetLang",
      ],
    },
    temperature: {
      propDefinition: [
        app,
        "temperature",
      ],
    },
  },
  methods: {
    createSocialMediaPost(args = {}) {
      return this.app.post({
        path: "/texts/social-media-posts",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      createSocialMediaPost,
      context,
      keywords,
      maxTokens,
      mode,
      model,
      n,
      sourceLang,
      targetLang,
      temperature,
    } = this;

    const response = await createSocialMediaPost({
      step,
      data: {
        context,
        keywords,
        max_tokens: maxTokens,
        mode,
        model,
        n,
        source_lang: sourceLang,
        target_lang: targetLang,
        temperature,
      },
    });

    step.export("$summary", `Successfully created social media post with status \`${response.status}\``);

    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
TextCortex	`app`	`app`	This component uses the TextCortex app.
Context	`context`	`string`	The context of the social media post.
Keywords	`keywords`	`string[]`	Keywords to be included in the post.
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate.
Mode	`mode`	`string`	Select a value from the drop down menu:`twitterlinkedin`
Model	`model`	`string`	Select a value from the drop down menu:`velox-1aecus-1alta-1sophos-1chat-sophos-1`
N	`n`	`integer`	The number of outputs to generate.
Source Language	`sourceLang`	`string`	Select a value from the drop down menu:`{ "label": "English (Default)", "value": "en" }{ "label": "The API will attempt to detect the language of the text and translate it.", "value": "auto" }{ "label": "Bulgarian", "value": "bg" }{ "label": "Czech", "value": "cs" }{ "label": "Danish", "value": "da" }{ "label": "German", "value": "de" }{ "label": "Greek", "value": "el" }{ "label": "Spanish", "value": "es" }{ "label": "Estonian", "value": "et" }{ "label": "Finnish", "value": "fi" }{ "label": "French", "value": "fr" }{ "label": "Hungarian", "value": "hu" }{ "label": "Indonesian", "value": "id" }{ "label": "Italian", "value": "it" }{ "label": "Japanese", "value": "ja" }{ "label": "Korean", "value": "ko" }{ "label": "Lithuanian", "value": "lt" }{ "label": "Latvian", "value": "lv" }{ "label": "Norwegian", "value": "nb" }{ "label": "Dutch", "value": "nl" }{ "label": "Polish", "value": "pl" }{ "label": "Portuguese (all Portuguese varieties mixed)", "value": "pt" }{ "label": "Romanian", "value": "ro" }{ "label": "Russian", "value": "ru" }{ "label": "Slovak", "value": "sk" }{ "label": "Slovenian", "value": "sl" }{ "label": "Swedish", "value": "sv" }{ "label": "Turkish", "value": "tr" }{ "label": "Ukrainian", "value": "uk" }{ "label": "Chinese", "value": "zh" }`
Target Language	`targetLang`	`string`	Select a value from the drop down menu:`{ "label": "English (Default)", "value": "en" }{ "label": "The API will attempt to detect the language of the text and translate it.", "value": "auto" }{ "label": "Bulgarian", "value": "bg" }{ "label": "Czech", "value": "cs" }{ "label": "Danish", "value": "da" }{ "label": "German", "value": "de" }{ "label": "Greek", "value": "el" }{ "label": "Spanish", "value": "es" }{ "label": "Estonian", "value": "et" }{ "label": "Finnish", "value": "fi" }{ "label": "French", "value": "fr" }{ "label": "Hungarian", "value": "hu" }{ "label": "Indonesian", "value": "id" }{ "label": "Italian", "value": "it" }{ "label": "Japanese", "value": "ja" }{ "label": "Korean", "value": "ko" }{ "label": "Lithuanian", "value": "lt" }{ "label": "Latvian", "value": "lv" }{ "label": "Norwegian", "value": "nb" }{ "label": "Dutch", "value": "nl" }{ "label": "Polish", "value": "pl" }{ "label": "Portuguese (all Portuguese varieties mixed)", "value": "pt" }{ "label": "Romanian", "value": "ro" }{ "label": "Russian", "value": "ru" }{ "label": "Slovak", "value": "sk" }{ "label": "Slovenian", "value": "sl" }{ "label": "Swedish", "value": "sv" }{ "label": "Turkish", "value": "tr" }{ "label": "Ukrainian", "value": "uk" }{ "label": "Chinese", "value": "zh" }`
Temperature	`temperature`	`string`	The sampling temperature to be used in text generation. The higher the temperature, the higher the risk of the output to sound "made up".

Action Authentication#

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