← Twitch + Snowflake integrations

Insert Single Row with Snowflake API on New Videos from Twitch API

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New Videos from the Twitch API
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Insert Single Row with the Snowflake API
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Getting Started

This integration creates a workflow with a Twitch trigger and Snowflake 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 Videos trigger
    1. Connect your Twitch account
    2. Configure timer
    3. Configure Max Items
  3. Configure the Insert Single Row action
    1. Connect your Snowflake account
    2. Select a Database
    3. Select a Schema
    4. Select a Table Name
  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 when there is a new video from channels you follow.
Version:0.1.2
Key:twitch-new-videos

Twitch Overview

The Twitch API unlocks a world of possibilities for engaging with live streaming communities and understanding audience behaviors. With Pipedream, you can harness this API to automate many aspects of Twitch interaction and analysis. From tracking stream stats to automating chat messages, the Twitch API lets you create workflows that interact with Twitch's vast live streaming ecosystem. Pipedream's serverless platform streamlines these tasks, making it simple to connect Twitch with other services for enhanced functionalities.

Trigger Code

import common from "../common-polling.mjs";
import twitch from "../../twitch.app.mjs";

export default {
  ...common,
  name: "New Videos",
  key: "twitch-new-videos",
  description: "Emit new event when there is a new video from channels you follow.",
  version: "0.1.2",
  type: "source",
  props: {
    ...common.props,
    max: {
      propDefinition: [
        twitch,
        "max",
      ],
    },
  },
  methods: {
    ...common.methods,
    getMeta({
      id,
      title: summary,
      created_at: createdAt,
    }) {
      const ts = new Date(createdAt).getTime();
      return {
        id,
        summary,
        ts,
      };
    },
  },
  async run() {
    // get the authenticated user
    const { data: authenticatedUserData } = await this.twitch.getUsers();
    const params = {
      from_id: authenticatedUserData[0].id,
    };
    // get the channels followed by the authenticated user
    const followedUsers = await this.paginate(
      this.twitch.getUserFollows.bind(this),
      params,
    );

    // get and emit new videos from each followed user
    let count = 0;
    for await (const followed of followedUsers) {
      const videos = await this.paginate(
        this.twitch.getVideos.bind(this),
        {
          user_id: followed.to_id,
          period: "day", // Period during which the video was created. Valid values: "all", "day", "week", "month".
        },
        this.max,
      );
      for await (const video of videos) {
        this.$emit(video, this.getMeta(video));
        count++;
        if (count >= this.max) return;
      }
    }
  },
};

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
TwitchtwitchappThis component uses the Twitch app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Max Itemsmaxinteger

The maximum number of items to return at one time. Streams are returned sorted by number of viewers, in descending order. Videos and Clips are returned sorted by publish date.

Trigger Authentication

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

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

analytics:read:extensionsanalytics:read:gamesbits:readchannel:read:subscriptionsclips:edituser:edituser:edit:broadcastuser:read:broadcastuser:read:emailuser:read:followsuser:read:blocked_usersuser:manage:blocked_usersmoderator:read:followerschannel:read:editorschannel:manage:videosuser:read:subscriptions

About Twitch

Twitch is an interactive livestreaming service for content spanning gaming, entertainment, sports, music, and more.

Action

Description:Insert a row into a table
Version:1.1.2
Key:snowflake-insert-row

Snowflake Overview

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Action Code

import snowflake from "../../snowflake.app.mjs";

export default {
  type: "action",
  key: "snowflake-insert-row",
  name: "Insert Single Row",
  description: "Insert a row into a table",
  version: "1.1.2",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add a new row",
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    // Once a user selects the table, display the columns as additional props
    if (this.tableName) {
      const fields = await this.snowflake.listFieldsForTable(this.tableName);
      const defaultValue = {};
      for (const field of fields) {
        defaultValue[field.name] = "";
      }
      props["values"] = {
        type: "object",
        label: "Values",
        description: "Enter the values for each column",
        default: defaultValue,
      };
    }
    return props;
  },
  async run({ $ }) {
    const response = await this.snowflake.insertRow(this.tableName, this.values);
    $.export("$summary", `Successfully inserted row in ${this.tableName}`);
    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
SnowflakesnowflakeappThis component uses the Snowflake app.
DatabasedatabasestringSelect a value from the drop down menu.
SchemaschemastringSelect a value from the drop down menu.
Table NametableNamestringSelect a value from the drop down menu.

Action Authentication

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

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

About Snowflake

A data warehouse built for the cloud

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