← Supabase + TextCortex integrations

Create Social Media Post with TextCortex API on New Row Added from Supabase API

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New Row Added from the Supabase 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 Supabase trigger and TextCortex 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 Row Added trigger
    1. Connect your Supabase account
    2. Configure Table
    3. Optional- Configure Row Identifier
    4. Optional- Configure Column
    5. Optional- Select a Filter
    6. Optional- Configure Value
    7. Configure Order By
    8. Optional- Select a Sort Order
    9. Configure timer
  3. 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
  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 for every new row added in a table. [See documentation here](https://supabase.com/docs/reference/javascript/select)
Version:0.0.4
Key:supabase-new-row-added

Supabase Overview

Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.

Trigger Code

import base from "../common/base.mjs";
import {
  DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
  ConfigurationError,
} from "@pipedream/platform";
import constants from "../../common/constants.mjs";

export default {
  key: "supabase-new-row-added",
  name: "New Row Added",
  description: "Emit new event for every new row added in a table. [See documentation here](https://supabase.com/docs/reference/javascript/select)",
  version: "0.0.4",
  type: "source",
  props: {
    ...base.props,
    column: {
      propDefinition: [
        base.props.supabase,
        "column",
      ],
      optional: true,
    },
    filter: {
      propDefinition: [
        base.props.supabase,
        "filter",
      ],
      optional: true,
    },
    value: {
      propDefinition: [
        base.props.supabase,
        "value",
      ],
      optional: true,
    },
    orderBy: {
      propDefinition: [
        base.props.supabase,
        "column",
      ],
      label: "Order By",
      description: "Column name to order by",
    },
    sortOrder: {
      propDefinition: [
        base.props.supabase,
        "sortOrder",
      ],
    },
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getOffset() {
      return this.db.get("offset") || 0;
    },
    _setOffset(offset) {
      this.db.set("offset", offset);
    },
  },
  async run() {
    const {
      table,
      column,
      filter,
      value,
      orderBy,
      sortOrder,
      rowIdentifier,
    } = this;

    if ((column || filter || value) && !(column && filter && value)) {
      throw new ConfigurationError("If `column`, `filter`, or `value` is used, all three must be entered");
    }

    const offset = this._getOffset();
    const client = await this.supabase._client();
    const query = client
      .from(table)
      .select()
      .order(orderBy, {
        ascending: sortOrder,
      })
      .range(offset, offset + constants.MAX_OFFSET);

    if (filter) {
      const filterMethod = this.supabase[filter];
      filterMethod(query, column, value);
    }

    const { data } = await query;
    this._setOffset(offset + data.length);

    for (const row of data) {
      let summary = "New row in table";
      if (row[rowIdentifier]) {
        summary = `${summary}: ${row[rowIdentifier]}`;
      }
      this.$emit(row, {
        summary,
      });
    }
  },
};

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
SupabasesupabaseappThis component uses the Supabase app.
Tabletablestring

The name of the table to watch for new rows

Row IdentifierrowIdentifierstring

The column name to use as the row identifier

Columncolumnstring

Column name to search by

FilterfilterstringSelect a value from the drop down menu:{ "label": "Equal", "value": "equalTo" }{ "label": "Not Equal", "value": "notEqualTo" }{ "label": "Greater Than", "value": "greaterThan" }{ "label": "Greater Than or Equal To", "value": "greaterThanOrEqualTo" }{ "label": "Less Than", "value": "lessThan" }{ "label": "Less Than or Equal To", "value": "lessThanOrEqualTo" }{ "label": "Contains (Case Sensitive)", "value": "patternMatch" }{ "label": "Contains (Case Insensitive)", "value": "patternMatchCaseInsensitive" }
Valuevaluestring

Value of the column specified to search for

Order ByorderBystring

Column name to order by

Sort OrdersortOrderstringSelect a value from the drop down menu:ascendingdescending
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

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

Supabase provides a Service Key to get started. You can find the service_role in the API Settings page.

Finding the Supabase subdomain

About Supabase

Supabase is an open source Firebase alternative.

Action

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

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.

LabelPropTypeDescription
TextCortexappappThis component uses the TextCortex app.
Contextcontextstring

The context of the social media post.

Keywordskeywordsstring[]

Keywords to be included in the post.

Max TokensmaxTokensinteger

The maximum number of tokens to generate.

ModemodestringSelect a value from the drop down menu:twitterlinkedin
ModelmodelstringSelect a value from the drop down menu:velox-1aecus-1alta-1sophos-1chat-sophos-1
Nninteger

The number of outputs to generate.

Source LanguagesourceLangstringSelect 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 LanguagetargetLangstringSelect 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" }
Temperaturetemperaturestring

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.

Sign in and copy your API key directly from your dashboard under Settings >> API Key.

About TextCortex

Powerful AI Assistant To 12x Your Productivity 🚀

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