Create Social Media Post with TextCortex API on New Record (of Selectable Type) from Salesforce (REST API) API

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New Record (of Selectable Type) from the Salesforce (REST API) 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 (REST API) 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 Record (of Selectable Type) trigger
1. Connect your Salesforce (REST API) account
2. Configure timer
3. Select a Object Type
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 Record (of Selectable Type) on Salesforce (REST API)

Description:Emit new event (at regular intervals) when a record of arbitrary object type (selected as an input parameter by the user) is created. See [the docs](https://sforce.co/3yPSJZy) for more information.

Version:0.0.6

Key:salesforce_rest_api-new-record

View on GitHub

Salesforce (REST API) 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 (of Selectable Type)",
  key: "salesforce_rest_api-new-record",
  description: "Emit new event (at regular intervals) when a record of arbitrary object type (selected as an input parameter by the user) is created. See [the docs](https://sforce.co/3yPSJZy) for more information.",
  version: "0.0.6",
  hooks: {
    ...common.hooks,
    async activate() {
      const {
        objectType,
        getObjectTypeDescription,
        setObjectTypeColumns,
      } = this;

      await common.hooks.activate.call(this);

      const { fields } = await getObjectTypeDescription(objectType);
      const columns = fields.map(({ name }) => name);

      setObjectTypeColumns(columns);
    },
  },
  methods: {
    ...common.methods,
    generateMeta(item, fieldName) {
      const { objectType } = this;
      const {
        CreatedDate: createdDate,
        [fieldName]: name,
        Id: id,
      } = item;
      const entityType = startCase(objectType);
      const summary = `New ${entityType} created: ${name}`;
      const ts = Date.parse(createdDate);
      return {
        id,
        summary,
        ts,
      };
    },
    async processEvent(eventData) {
      const {
        paginate,
        objectType,
        setLatestDateCovered,
        getObjectTypeColumns,
        getNameField,
        generateMeta,
        $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 = generateMeta(item, fieldName);
          emit(item, meta);
        });
    },
  },
};

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 (REST API)	`salesforce`	`app`	This component uses the Salesforce (REST API) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Object Type	`objectType`	`string`	Select a value from the drop down menu.

Trigger Authentication#

Salesforce (REST API) uses OAuth authentication. When you connect your Salesforce (REST API) account, Pipedream will open a popup window where you can sign into Salesforce (REST API) 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 (REST API) API.

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

About Salesforce (REST API)#

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.

About TextCortex#

Powerful AI Assistant To 12x Your Productivity 🚀

More Ways to Connect TextCortex + Salesforce (REST API)#

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Pipedream makes it easy to connect APIs for TextCortex, Salesforce (REST API) and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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