Generate Video with SpiritMe API on Failed Task in Schema from Snowflake API

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Trigger workflow on

Failed Task in Schema from the Snowflake API

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Generate Video with the SpiritMe API

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Getting Started#

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

Select this integration
Configure the Failed Task in Schema trigger
1. Connect your Snowflake account
2. Configure timer
3. Select a Database
4. Select one or more Schema
5. Optional- Configure Task Name
Configure the Generate Video action
1. Connect your SpiritMe account
2. Configure Name
3. Optional- Select a Avatar
4. Optional- Select a Voice
5. Optional- Configure Text
6. Optional- Select a Audio File
7. Optional- Select a Media File
8. Optional- Select a View Type
9. Optional- Configure Auto Emotions Markup
10. Optional- Configure Wait For Completion
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#

Failed Task in Schema on Snowflake

Description:Emit new events when a task fails in a database schema

Version:0.1.2

Key:snowflake-failed-task-in-schema

View on GitHub

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.

Trigger Code#

import common from "../common.mjs";

export default {
  ...common,
  props: {
    ...common.props,
    timer: {
      description: "Watch for failed tasks on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: 15 * 60,
      },
    },
    database: {
      propDefinition: [
        common.props.snowflake,
        "database",
      ],
    },
    schemas: {
      propDefinition: [
        common.props.snowflake,
        "schema",
        (configuredProps) => ({
          database: configuredProps.database,
        }),
      ],
      type: "string[]",
    },
    taskName: {
      type: "string",
      label: "Task Name",
      description: "The name of the task to watch for failures. It allows you to use Regex to match multiple tasks.",
      optional: true,
    },
  },
  type: "source",
  key: "snowflake-failed-task-in-schema",
  // eslint-disable-next-line
  name: "Failed Task in Schema",
  description: "Emit new events when a task fails in a database schema",
  version: "0.1.2",
  async run() {
    await this.emitFailedTasks({
      database: this.database,
      schemas: this.schemas,
      taskName: this.taskName,
    });
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for failed tasks on this schedule
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schemas`	`string[]`	Select a value from the drop down menu.
Task Name	`taskName`	`string`	The name of the task to watch for failures. It allows you to use Regex to match multiple tasks.

Trigger 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.

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

Action#

Generate Video on SpiritMe

Description:Generates a new video using specific voice and avatar props. [See the documentation](https://api.spiritme.tech/api/swagger/#/videos/videos_create)

Version:0.0.1

Key:spiritme-generate-video

View on GitHub

Action Code#

import spiritme from "../../spiritme.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "spiritme-generate-video",
  name: "Generate Video",
  description: "Generates a new video using specific voice and avatar props. [See the documentation](https://api.spiritme.tech/api/swagger/#/videos/videos_create)",
  version: "0.0.1",
  type: "action",
  props: {
    spiritme,
    name: {
      type: "string",
      label: "Name",
      description: "Name of the video",
    },
    avatar: {
      propDefinition: [
        spiritme,
        "avatar",
      ],
    },
    voice: {
      propDefinition: [
        spiritme,
        "voice",
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "The text to use for the video. Example: `Hello everyone! I am a virtual avatar from Spiritme.` Use tags `<emotion name=\"emotion_name\"> text </emotion>` to add emotions to the generated video. The list of supported emotions are `neutral`, `semismile`, `smile`, `happiness`, `sadness`, and `surprise`. Either text or audio file is required.",
      optional: true,
    },
    audioFile: {
      propDefinition: [
        spiritme,
        "file",
        () => ({
          type: [
            "audio",
          ],
        }),
      ],
      label: "Audio File",
      description: "Identifier of an audio file. Either text or audio file is required.",
    },
    media: {
      propDefinition: [
        spiritme,
        "file",
        () => ({
          type: [
            "image",
            "video",
          ],
        }),
      ],
      label: "Media File",
      description: "Identifier of an image or video file. One of avatar or media is required.",
    },
    viewType: {
      type: "string",
      label: "View Type",
      description: "Content as is or content in circle. Supported only for avatars.",
      optional: true,
      options: [
        "rectangular",
        "circular",
      ],
    },
    autoEmotionsMarkup: {
      type: "boolean",
      label: "Auto Emotions Markup",
      description: "Add emotions automatically by AI",
      optional: true,
    },
    waitForCompletion: {
      type: "boolean",
      label: "Wait For Completion",
      description: "Set to `true` to poll the API in 3-second intervals until the video is completed",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      spiritme,
      name,
      avatar,
      voice,
      text,
      audioFile,
      media,
      viewType,
      autoEmotionsMarkup,
      waitForCompletion,
    } = this;

    if (!avatar && !media) {
      throw new ConfigurationError("One of `Avatar` or `Media File` is required");
    }

    if (!text && !audioFile) {
      throw new ConfigurationError("One of `Text` or `Audio File` is required");
    }

    let response = await spiritme.generateVideo({
      $,
      data: {
        name,
        slides: [
          {
            audio_source: {
              text,
              voice: voice
                ? {
                  id: voice,
                }
                : undefined,
              file: audioFile
                ? {
                  id: audioFile,
                }
                : undefined,
            },
            layers: [
              {
                avatar: avatar
                  ? {
                    id: avatar,
                  }
                  : undefined,
                media: media
                  ? {
                    id: media,
                  }
                  : undefined,
                view_type: viewType,
              },
            ],
          },
        ],
        auto_emotions_markup: autoEmotionsMarkup,
      },
    });

    if (waitForCompletion) {
      const timer = (ms) => new Promise((res) => setTimeout(res, ms));
      while (response.status !== "success") {
        response = await spiritme.getVideo({
          videoId: response.id,
        });
        await timer(3000);
      }
    }

    $.export("$summary", `Generated video with ID: ${response.id}`);
    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
SpiritMe	`spiritme`	`app`	This component uses the SpiritMe app.
Name	`name`	`string`	Name of the video
Avatar	`avatar`	`string`	Select a value from the drop down menu.
Voice	`voice`	`string`	Select a value from the drop down menu.
Text	`text`	`string`	The text to use for the video. Example: `Hello everyone! I am a virtual avatar from Spiritme.` Use tags `<emotion name="emotion_name"> text </emotion>` to add emotions to the generated video. The list of supported emotions are `neutral`, `semismile`, `smile`, `happiness`, `sadness`, and `surprise`. Either text or audio file is required.
Audio File	`audioFile`	`string`	Select a value from the drop down menu.
Media File	`media`	`string`	Select a value from the drop down menu.
View Type	`viewType`	`string`	Select a value from the drop down menu:`rectangularcircular`
Auto Emotions Markup	`autoEmotionsMarkup`	`boolean`	Add emotions automatically by AI
Wait For Completion	`waitForCompletion`	`boolean`	Set to `true` to poll the API in 3-second intervals until the video is completed