Create Job with Qntrl API on Failed Task in Schema from Snowflake API

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Failed Task in Schema from the Snowflake API

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Create Job with the Qntrl API

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Getting Started#

This integration creates a workflow with a Snowflake trigger and Qntrl 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 Create Job action
1. Connect your Qntrl account
2. Select a Organization ID
3. Select a Form ID
4. Configure Title
5. Optional- Configure Description
6. Optional- Configure Due Date
7. Optional- Configure Additional Options
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#

Create Job on Qntrl

Description:Creates a new job (card) in Qntrl. [See the documentation](https://core.qntrl.com/apidoc.html?type=reference&module=jobs&action=CreateJob)

Version:0.0.1

Key:qntrl-create-job

View on GitHub

Qntrl Overview#

The Qntrl API offers a powerful way to manage and automate your organization's workflows and processes directly within Pipedream. With this API, you can create, update, retrieve, and manage cards, orchestrate workflows, and synchronize data across different systems. Harness the power of Pipedream to integrate Qntrl with various apps and services, enabling seamless data flow and enhanced productivity.

Action Code#

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

export default {
  key: "qntrl-create-job",
  name: "Create Job",
  description:
    "Creates a new job (card) in Qntrl. [See the documentation](https://core.qntrl.com/apidoc.html?type=reference&module=jobs&action=CreateJob)",
  version: "0.0.1",
  type: "action",
  props: {
    qntrl,
    orgId: {
      propDefinition: [
        qntrl,
        "orgId",
      ],
    },
    formId: {
      propDefinition: [
        qntrl,
        "formId",
        ({ orgId }) => ({
          orgId,
        }),
      ],
      reloadProps: true,
    },
    title: {
      type: "string",
      label: "Title",
      description: "Title of the job.",
    },
    description: {
      type: "string",
      label: "Description",
      description: "Description of the job.",
      optional: true,
    },
    dueDate: {
      type: "string",
      label: "Due Date",
      description:
        "The due date of the job as a valid date string, e.g. `2016-02-29T12:12:12+0530` or `2016-02-29`.",
      optional: true,
    },
    additionalOptions: {
      type: "object",
      label: "Additional Options",
      description:
        "Additional parameters to send in this request. [See the documentation](https://core.qntrl.com/apidoc.html?type=reference&module=jobs&action=CreateJob) for all available parameters.",
      optional: true,
    },
  },
  methods: {
    fieldToProp(field) {
      const result = {};
      /* eslint-disable no-fallthrough */
      switch (field.field_type_value) {
      case "PICKLIST":
        result.options = field.picklist_details?.map?.((option) => ({
          label: option.value,
          value: option.picklist_id,
        }));
      case "TEXT":
      case "MLTEXT":
      case "DATETIME":
      default:
        result.type = "string";
        break;
      }
      return result;
    },
  },
  async additionalProps() {
    const result = {};
    const {
      orgId, formId,
    } = this;
    const formDetails = await this.qntrl.getFormDetails({
      orgId,
      formId,
    });
    formDetails?.section_details?.forEach?.((section) => {
      section.sectionfieldmap_details?.forEach?.((fieldmap) => {
        fieldmap.customfield_details?.forEach?.((field) => {
          const columnName = field.column_name;
          if (columnName.startsWith("customfield")) {
            result[columnName] = {
              label: field.alias_name,
              description: `${field.alias_name} (\`${columnName}\`)`,
              optional: !fieldmap.is_mandatory,
              ...this.fieldToProp(field),
            };
          }
        });
      });
    });
    return result;
  },
  async run({ $ }) {
    const { // eslint-disable-next-line no-unused-vars
      qntrl, fieldToProp, orgId, formId, dueDate, additionalOptions, ...data
    } = this;
    const dateObj = new Date(dueDate);
    const isInvalidDate = isNaN(dateObj.valueOf());
    if (dueDate && isInvalidDate) {
      throw new ConfigurationError("Invalid date string for `Due Date`");
    }

    const response = await qntrl.createJob({
      $,
      orgId,
      data: {
        layout_id: formId,
        duedate: isInvalidDate
          ? undefined
          : (dateObj?.toISOString().slice(0, -5) + "+0000"),
        ...data,
        ...additionalOptions,
      },
    });
    $.export("$summary", `Successfully created job (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
Qntrl	`qntrl`	`app`	This component uses the Qntrl app.
Organization ID	`orgId`	`string`	Select a value from the drop down menu.
Form ID	`formId`	`string`	Select a value from the drop down menu.
Title	`title`	`string`	Title of the job.
Description	`description`	`string`	Description of the job.
Due Date	`dueDate`	`string`	The due date of the job as a valid date string, e.g. `2016-02-29T12:12:12+0530` or `2016-02-29`.
Additional Options	`additionalOptions`	`object`	Additional parameters to send in this request. See the documentation for all available parameters.

Action Authentication#

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

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

Qntrl.user.READQntrl.org.READQntrl.job.ALLQntrl.jobcomment.READQntrl.jobcomment.CREATEQntrl.layout.READ