Create Task with KanbanFlow 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 Task with the KanbanFlow API

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Getting Started#

This integration creates a workflow with a Snowflake trigger and KanbanFlow 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 Task action
1. Connect your KanbanFlow account
2. Configure Name
3. Select a Column
4. Optional- Select a Swimlane
5. Optional- Select a Color
6. Optional- Configure Description
7. Optional- Select a Responsible User
8. Optional- Configure Subtasks
9. Optional- Configure Labels
10. Optional- Select one or more Collaborators
11. 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 Task on KanbanFlow

Description:Create a task (docs available on board settings)

Version:0.0.1

Key:kanbanflow-create-task

View on GitHub

KanbanFlow Overview#

The KanbanFlow API unlocks the potential for creating customized, automated workflows to enhance productivity and streamline task management. By tapping into this API via Pipedream, developers can craft serverless functions that interact with KanbanFlow boards, tasks, users, and time tracking features. These automations can range from syncing tasks across platforms to triggering notifications based on task updates.

Action Code#

import kanbanflow from "../../app/kanbanflow.app.mjs";
import { defineAction } from "@pipedream/types";
import { ConfigurationError } from "@pipedream/platform";
import { getFlagPropDescription } from "../../common/utils.mjs";
export default defineAction({
    name: "Create Task",
    description: "Create a task (docs available on board settings)",
    key: "kanbanflow-create-task",
    version: "0.0.1",
    type: "action",
    methods: {
        splitFlagPropValue(value, splitKey) {
            const splitValue = value.split(`!${splitKey}`);
            const returnObj = {
                name: splitValue[0],
            };
            if (splitValue.length > 1)
                returnObj[splitKey] = true;
            return returnObj;
        },
    },
    props: {
        kanbanflow,
        name: {
            label: "Name",
            description: "Task name.",
            type: "string",
        },
        columnId: {
            propDefinition: [
                kanbanflow,
                "columnId",
            ],
        },
        swimlaneId: {
            propDefinition: [
                kanbanflow,
                "swimlaneId",
            ],
            optional: true,
        },
        color: {
            propDefinition: [
                kanbanflow,
                "color",
            ],
            label: "Color",
            optional: true,
        },
        description: {
            label: "Description",
            description: "Task description.",
            type: "string",
            optional: true,
        },
        responsibleUserId: {
            propDefinition: [
                kanbanflow,
                "userId",
            ],
            label: "Responsible User",
            optional: true,
        },
        subtasks: {
            label: "Subtasks",
            description: getFlagPropDescription("subtask", "finished"),
            type: "string[]",
            optional: true,
        },
        labels: {
            label: "Labels",
            description: getFlagPropDescription("label", "pinned"),
            type: "string[]",
            optional: true,
        },
        collaborators: {
            propDefinition: [
                kanbanflow,
                "userId",
            ],
            label: "Collaborators",
            description: "Select one or more **Users** from the list.",
            type: "string[]",
            optional: true,
        },
        additionalOptions: {
            type: "string",
            label: "Additional Options",
            description: "A JSON-stringified object with any additional parameters to pass in the request body. See the **API docs** > **Create task**  for more info.",
            optional: true,
        },
    },
    async run({ $ }) {
        const { name, columnId, swimlaneId, color, description, responsibleUserId, subtasks, labels, collaborators, } = this;
        let additionalOptions;
        if (this.additionalOptions) {
            try {
                additionalOptions = JSON.parse(this.additionalOptions);
            }
            catch (err) {
                throw new ConfigurationError("Error when parsing the **additionalOptions** prop. Check if it is a valid JSON-stringified object.");
            }
        }
        const params = {
            $,
            data: {
                name,
                columnId,
                swimlaneId,
                color: color?.toLowerCase(),
                description,
                responsibleUserId,
                subTasks: subtasks?.map((value) => this.splitFlagPropValue(value, "finished")),
                labels: labels?.map((value) => this.splitFlagPropValue(value, "pinned")),
                collaborators: collaborators?.filter((id) => id !== responsibleUserId).map((userId) => ({
                    userId,
                })),
                ...additionalOptions,
            },
        };
        const data = await this.kanbanflow.createTask(params);
        $.export("$summary", `Successfully created task (id ${data.taskId})`);
        return data;
    },
});

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
KanbanFlow	`kanbanflow`	`app`	This component uses the KanbanFlow app.
Name	`name`	`string`	Task name.
Column	`columnId`	`string`	Select a value from the drop down menu.
Swimlane	`swimlaneId`	`string`	Select a value from the drop down menu.
Color	`color`	`string`	Select a value from the drop down menu.
Description	`description`	`string`	Task description.
Responsible User	`responsibleUserId`	`string`	Select a value from the drop down menu.
Subtasks	`subtasks`	`string[]`	One or more subtasks. If a subtask is to be flagged as finished, suffix it with `!finished`.
Labels	`labels`	`string[]`	One or more labels. If a label is to be flagged as pinned, suffix it with `!pinned`.
Collaborators	`collaborators`	`string[]`	Select a value from the drop down menu.
Additional Options	`additionalOptions`	`string`	A JSON-stringified object with any additional parameters to pass in the request body. See the API docs > Create task for more info.