← Reddit + Crowdin integrations

Create Project with Crowdin API on New Comments by User from Reddit API

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New Comments by User from the Reddit API
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Create Project with the Crowdin API
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Getting Started

This integration creates a workflow with a Reddit trigger and Crowdin 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 Comments by User trigger
    1. Connect your Reddit account
    2. Configure Polling schedule
    3. Configure Username
    4. Optional- Configure Number of parents
    5. Optional- Select a Time filter
    6. Optional- Configure Include subreddit details?
  3. Configure the Create Project action
    1. Connect your Crowdin account
    2. Configure Project Name
    3. Select a Source Language ID
    4. Optional- Select one or more Target Language IDs
    5. Optional- Configure Identifier
    6. Optional- Select a Visibility
    7. Optional- Select a Language Access Policy
    8. Optional- Configure Custom Domain Name
    9. Optional- Configure Project Description
    10. Optional- Select a Tags Detection
    11. Optional- Configure Allow Machine Translation
    12. Optional- Configure Task Based Access Control
    13. Optional- Configure Auto Substitution
    14. Optional- Configure Auto Translate Dialects
    15. Optional- Configure Public Downloads
    16. Optional- Configure Hidden Strings Proofreaders Access
    17. Optional- Configure Use Global Translation Memory
    18. Optional- Configure Show TM Suggestions for Dialects
    19. Optional- Configure Skip Untranslated Strings
    20. Optional- Configure Export Approved Only
    21. Optional- Configure QA Check Is Active
    22. Optional- Select a Type
  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 each time a user posts a new comment.
Version:0.1.2
Key:reddit-new-comments-by-user

Reddit Overview

The Reddit API unlocks the potential to automate interactions with one of the largest online communities. With Pipedream, you can tap into the Reddit ecosystem to monitor trends, engage with audiences, or curate content. Whether it's tracking mentions of your brand, auto-posting to subreddits, or gathering data for analysis, the API offers a breadth of functionalities — from getting posts and comments to creating new threads and managing account settings.

Trigger Code

import common from "../common.mjs";
const { reddit } = common.props;

export default {
  ...common,
  type: "source",
  key: "reddit-new-comments-by-user",
  name: "New Comments by User",
  description: "Emit new event each time a user posts a new comment.",
  version: "0.1.2",
  dedupe: "unique",
  props: {
    ...common.props,
    username: {
      propDefinition: [
        reddit,
        "username",
      ],
    },
    numberOfParents: {
      type: "integer",
      label: "Number of parents",
      description:
        "The emitted events will contain the new comment plus the parents of said comment up to the number indicated in this property.",
      optional: true,
      min: 2,
      max: 10,
      default: 2,
    },
    timeFilter: {
      propDefinition: [
        reddit,
        "timeFilter",
      ],
    },
    includeSubredditDetails: {
      propDefinition: [
        reddit,
        "includeSubredditDetails",
      ],
    },
  },
  hooks: {
    async deploy() {
      // Emits sample events on the first run during deploy.
      var redditComments = await this.reddit.getNewUserComments(
        null,
        this.username,
        this.numberOfParents,
        this.timeFilter,
        this.includeSubredditDetails,
        10,
      );
      const { children: comments = [] } = redditComments.data;
      if (comments.length === 0) {
        console.log("No data available, skipping iteration");
        return;
      }
      const { name = this._getBefore() } = comments[0].data;
      this._setBefore(name);
      const {
        cache,
        keys,
      } = this.getAllCommentsData(comments);
      this._setCache(cache);
      this._setKeys(keys);
      comments.reverse().forEach(this.emitRedditEvent);
    },
  },
  methods: {
    ...common.methods,
    generateEventMetadata(redditEvent) {
      return {
        id: redditEvent.data.name,
        summary: redditEvent.data.body,
        ts: redditEvent.data.created,
      };
    },
    async isBeforeValid(before, cache) {
      // verify this comment still exists as a comment by this user
      const res = await this.reddit.getComment(cache[before]);
      const author = res[1]?.data?.children[0]?.data?.author;
      return author === this.username;
    },
    getCommentData(comment) {
      return {
        name: comment?.data?.name,
        id: comment?.data?.id,
        article: comment?.data?.link_id.slice(3),
        subreddit: comment?.data?.subreddit,
      };
    },
    getAllCommentsData(comments) {
      const cache = this._getCache();
      const keys = this._getKeys();
      comments.reverse().forEach((comment) => {
        cache[comment?.data?.name] = this.getCommentData(comment);
        keys.push(comment?.data?.name);
      });
      return {
        cache,
        keys,
      };
    },
  },
  async run() {
    let redditComments;
    const {
      cache: previousEmittedEvents,
      keys,
    } = await this.validateBefore(this._getCache(),
      this._getBefore(),
      this._getKeys());
    do {
      redditComments = await this.reddit.getNewUserComments(
        this._getBefore(),
        this.username,
        this.numberOfParents,
        this.timeFilter,
        this.includeSubredditDetails,
      );
      const { children: comments = [] } = redditComments.data;
      if (comments.length === 0) {
        console.log("No data available, skipping iteration");
        break;
      }
      const { name = this._getBefore() } = comments[0].data;
      this._setBefore(name);

      comments.reverse().forEach((comment) => {
        if (!previousEmittedEvents[comment.data.name]) {
          previousEmittedEvents[comment.data.name] = this.getCommentData(comment);
          keys.push(comment.data.name);
          this.emitRedditEvent(comment);
        }
      });
    } while (redditComments);
    this._setCache(previousEmittedEvents);
    this._setKeys(keys);
  },
};

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
RedditredditappThis component uses the Reddit app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling scheduletimer$.interface.timer

Pipedream polls Reddit for events on this schedule.

Usernameusernamestring

The username you'd like to watch.

Number of parentsnumberOfParentsinteger

The emitted events will contain the new comment plus the parents of said comment up to the number indicated in this property.

Time filtertimeFilterstringSelect a value from the drop down menu:hourdayweekmonthyearall
Include subreddit details?includeSubredditDetailsboolean

If set to true, subreddit details will be expanded/included.

Trigger Authentication

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

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

accountidentityedithistoryreadsubmitmysubredditssubscribeprivatemessages

About Reddit

Reddit is a network of communities based on people's interests. Find communities you're interested in, and become part of an online community!

Action

Description:Creates a new project within Crowdin. [See the documentation](https://support.crowdin.com/developer/api/v2/#/projects-api/create-project)
Version:0.0.1
Key:crowdin-create-project

Crowdin Overview

The Crowdin API offers a way to streamline localization processes by enabling automated interactions with Crowdin projects. With this API on Pipedream, you can create workflows that manage translations, coordinate with translators, and sync localized content across your apps. It becomes easy to upload new source files, download translations, manage projects, and crowdsource translations, all within the Pipedream ecosystem.

Action Code

import { ConfigurationError } from "@pipedream/platform";
import {
  LANGUAGE_ACCESS_POLICY_OPTIONS,
  TAGS_DETECTION_OPTIONS,
  VISIBILITY_OPTIONS,
} from "../../common/constants.mjs";
import { parseObject } from "../../common/utils.mjs";
import crowdin from "../../crowdin.app.mjs";

export default {
  key: "crowdin-create-project",
  name: "Create Project",
  description: "Creates a new project within Crowdin. [See the documentation](https://support.crowdin.com/developer/api/v2/#/projects-api/create-project)",
  version: "0.0.1",
  type: "action",
  props: {
    crowdin,
    name: {
      type: "string",
      label: "Project Name",
      description: "The name of the project to be created",
    },
    sourceLanguageId: {
      propDefinition: [
        crowdin,
        "sourceLanguageId",
      ],
    },
    targetLanguageIds: {
      propDefinition: [
        crowdin,
        "sourceLanguageId",
      ],
      type: "string[]",
      label: "Target Language IDs",
      description: "Array of target language IDs",
      optional: true,
    },
    identifier: {
      type: "string",
      label: "Identifier",
      description: "A custom identifier for the project",
      optional: true,
    },
    visibility: {
      type: "string",
      label: "Visibility",
      description: "Defines how users can join the project.",
      options: VISIBILITY_OPTIONS,
      optional: true,
    },
    languageAccessPolicy: {
      type: "string",
      label: "Language Access Policy",
      description: "Defines access to project languages.",
      optional: true,
      options: LANGUAGE_ACCESS_POLICY_OPTIONS,
    },
    cname: {
      type: "string",
      label: "Custom Domain Name",
      description: "Custom domain name for the project.",
      optional: true,
    },
    description: {
      type: "string",
      label: "Project Description",
      description: "The description of the project.",
      optional: true,
    },
    tagsDetection: {
      type: "string",
      label: "Tags Detection",
      description: "The type of the tags detection.",
      options: TAGS_DETECTION_OPTIONS,
      optional: true,
    },
    isMtAllowed: {
      type: "boolean",
      label: "Allow Machine Translation",
      description: "Allows machine translations to be visible for translators. Default is **true**.",
      optional: true,
    },
    taskBasedAccessControl: {
      type: "boolean",
      label: "Task Based Access Control",
      description: "Allow project members to work with tasks they're assigned to. Default is **false**.",
      optional: true,
      default: false,
    },
    autoSubstitution: {
      type: "boolean",
      label: "Auto Substitution",
      description: "Allows auto-substitution. Default is **true**.",
      optional: true,
      default: true,
    },
    autoTranslateDialects: {
      type: "boolean",
      label: "Auto Translate Dialects",
      description: "Automatically fill in regional dialects. Default is **false**.",
      optional: true,
    },
    publicDownloads: {
      type: "boolean",
      label: "Public Downloads",
      description: "Allows translators to download source files. Default is **true**.",
      optional: true,
    },
    hiddenStringsProofreadersAccess: {
      type: "boolean",
      label: "Hidden Strings Proofreaders Access",
      description: "Allows proofreaders to work with hidden strings. Default is **true**.",
      optional: true,
      default: true,
    },
    useGlobalTm: {
      type: "boolean",
      label: "Use Global Translation Memory",
      description: "If true, machine translations from connected MT engines will appear as suggestions. Default is **true**.",
      optional: true,
    },
    showTmSuggestionsDialects: {
      type: "boolean",
      label: "Show TM Suggestions for Dialects",
      description: "Show primary language TM suggestions for dialects if there are no dialect-specific ones. Default is **true**.",
      optional: true,
      default: true,
    },
    skipUntranslatedStrings: {
      type: "boolean",
      label: "Skip Untranslated Strings",
      description: "Defines whether to skip untranslated strings.",
      optional: true,
    },
    exportApprovedOnly: {
      type: "boolean",
      label: "Export Approved Only",
      description: "Defines whether to export only approved strings.",
      optional: true,
    },
    qaCheckIsActive: {
      type: "boolean",
      label: "QA Check Is Active",
      description: "If true, QA checks are active. Default is **true**.",
      optional: true,
    },
    type: {
      type: "string",
      label: "Type",
      description: "Defines the project type. To create a file-based project, use 0.",
      options: [
        "0",
        "1",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    try {
      const {
        crowdin,
        type,
        targetLanguageIds,
        tagsDetection,
        ...data
      } = this;

      const response = await crowdin.createProject({
        $,
        data: {
          ...data,
          type: parseInt(type),
          targetLanguageIds: parseObject(targetLanguageIds),
          tagsDetection: parseInt(tagsDetection),
        },
      });
      $.export("$summary", `Project created successfully with Id: ${response.data.id}`);
      return response;
    } catch ({ response }) {
      throw new ConfigurationError(response.data.errors[0]?.error?.errors[0]?.message);
    }
  },
};

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
CrowdincrowdinappThis component uses the Crowdin app.
Project Namenamestring

The name of the project to be created

Source Language IDsourceLanguageIdstringSelect a value from the drop down menu.
Target Language IDstargetLanguageIdsstring[]Select a value from the drop down menu.
Identifieridentifierstring

A custom identifier for the project

VisibilityvisibilitystringSelect a value from the drop down menu:{ "label": "Open - anyone can join the project", "value": "open" }{ "label": "Private - only invited users can join the project", "value": "private" }
Language Access PolicylanguageAccessPolicystringSelect a value from the drop down menu:{ "label": "Open - each project user can access all project languages", "value": "open" }{ "label": "Moderate - users should join each project language separately", "value": "moderate" }
Custom Domain Namecnamestring

Custom domain name for the project.

Project Descriptiondescriptionstring

The description of the project.

Tags DetectiontagsDetectionstringSelect a value from the drop down menu:{ "label": "Auto", "value": "0" }{ "label": "Count Tags", "value": "1" }{ "label": "Skip Tags", "value": "2" }
Allow Machine TranslationisMtAllowedboolean

Allows machine translations to be visible for translators. Default is true.

Task Based Access ControltaskBasedAccessControlboolean

Allow project members to work with tasks they're assigned to. Default is false.

Auto SubstitutionautoSubstitutionboolean

Allows auto-substitution. Default is true.

Auto Translate DialectsautoTranslateDialectsboolean

Automatically fill in regional dialects. Default is false.

Public DownloadspublicDownloadsboolean

Allows translators to download source files. Default is true.

Hidden Strings Proofreaders AccesshiddenStringsProofreadersAccessboolean

Allows proofreaders to work with hidden strings. Default is true.

Use Global Translation MemoryuseGlobalTmboolean

If true, machine translations from connected MT engines will appear as suggestions. Default is true.

Show TM Suggestions for DialectsshowTmSuggestionsDialectsboolean

Show primary language TM suggestions for dialects if there are no dialect-specific ones. Default is true.

Skip Untranslated StringsskipUntranslatedStringsboolean

Defines whether to skip untranslated strings.

Export Approved OnlyexportApprovedOnlyboolean

Defines whether to export only approved strings.

QA Check Is ActiveqaCheckIsActiveboolean

If true, QA checks are active. Default is true.

TypetypestringSelect a value from the drop down menu:01

Action Authentication

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

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

notificationprojectmtwebhookai

About Crowdin

Agile localization for tech companies. Crowdin is a cloud-based solution that streamlines localization management for your team. It's the perfect place to effectively manage all of your multilingual content.

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