← Snowflake + Testmo integrations

Create Automation Run with Testmo 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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Create Automation Run with the Testmo API
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Getting Started

This integration creates a workflow with a Snowflake trigger and Testmo 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 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
  3. Configure the Create Automation Run action
    1. Connect your Testmo account
    2. Select a Project Id
    3. Configure Name
    4. Select a Source
    5. Optional- Configure Config
    6. Optional- Configure Config Id
    7. Optional- Configure Milestone
    8. Optional- Select a Milestone Id
    9. Optional- Configure Tags
    10. Optional- Configure Artifacts
    11. Optional- Configure Fields
    12. Optional- Configure Links
  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 events when a task fails in a database schema
Version:0.1.2
Key:snowflake-failed-task-in-schema

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.
LabelPropTypeDescription
SnowflakesnowflakeappThis component uses the Snowflake app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Watch for failed tasks on this schedule

DatabasedatabasestringSelect a value from the drop down menu.
Schemaschemasstring[]Select a value from the drop down menu.
Task NametaskNamestring

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.

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

Action

Description:Creates a new automation run in a target project in preparation for adding threads and test results. [See the documentation](https://docs.testmo.com/api/reference/automation-runs#post-projects-project_id-automation-runs)
Version:0.0.2
Key:testmo-create-automation-run

Testmo Overview

The Testmo API enables automation and integration of your testing workflows into the broader CI/CD pipeline. With Pipedream, you can use this API to trigger tests, update test cases, log results, and sync status with other project management tools. By creating custom serverless workflows on Pipedream, you can connect Testmo to various apps, manage test lifecycles, and respond to events from other services in real-time.

Action Code

import { parseArray } from "../../common/utils.mjs";
import testmo from "../../testmo.app.mjs";

export default {
  key: "testmo-create-automation-run",
  name: "Create Automation Run",
  version: "0.0.2",
  description: "Creates a new automation run in a target project in preparation for adding threads and test results. [See the documentation](https://docs.testmo.com/api/reference/automation-runs#post-projects-project_id-automation-runs)",
  type: "action",
  props: {
    testmo,
    projectId: {
      propDefinition: [
        testmo,
        "projectId",
      ],
    },
    name: {
      type: "string",
      label: "Name",
      description: "Name of the new automation run.",
    },
    source: {
      propDefinition: [
        testmo,
        "source",
        ({ projectId }) => ({
          projectId,
        }),
      ],
    },
    config: {
      type: "string",
      label: "Config",
      description: "Name of the configuration for the new automation run.",
      optional: true,
    },
    configId: {
      type: "string",
      label: "Config Id",
      description: "ID of the configuration for the new automation run. If both config and `configId` are specified, `configId` is given precedence.",
      optional: true,
    },
    milestone: {
      type: "string",
      label: "Milestone",
      description: "Name of the milestone for the new automation run.",
      optional: true,
    },
    milestoneId: {
      propDefinition: [
        testmo,
        "milestoneId",
        ({ projectId }) => ({
          projectId,
        }),
      ],
      optional: true,
    },
    tags: {
      type: "string[]",
      label: "Tags",
      description: "List of tags for the new automation run. If a milestone in the same project has one or more matching automation tags, the new automation run is automatically linked to that milestone (unless `milestone` or `milestoneId` is also specified).",
      optional: true,
    },
    artifacts: {
      type: "string[]",
      label: "Artifacts",
      description: "List of externally stored test artifacts to link to the new automation run (such as log files, screenshots or test data). [See de documentation for details](https://docs.testmo.com/api/reference/automation-runs#post-projects-project_id-automation-runs)",
      optional: true,
    },
    fields: {
      type: "string[]",
      label: "Fields",
      description: "List of fields to attach to the new automation run (such as environment variables, errors or terminal output). [See de documentation for details](https://docs.testmo.com/api/reference/automation-runs#post-projects-project_id-automation-runs)",
      optional: true,
    },
    links: {
      type: "string[]",
      label: "Links",
      description: "List of links to attach to the new automation run (such as a link back to the build in the CI tool that triggered the tests). [See de documentation for details](https://docs.testmo.com/api/reference/automation-runs#post-projects-project_id-automation-runs)",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      testmo,
      projectId,
      configId,
      milestoneId,
      artifacts,
      fields,
      links,
      ...data
    } = this;

    const response = await testmo.createAutomationRun({
      $,
      projectId,
      data: {
        config_id: configId,
        milestone_id: milestoneId,
        artifacts: parseArray(artifacts),
        fields: parseArray(fields),
        links: parseArray(links),
        ...data,
      },
    });

    $.export("$summary", `A new automation run with Id: ${response.id} was successfully created!`);
    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
TestmotestmoappThis component uses the Testmo app.
Project IdprojectIdstringSelect a value from the drop down menu.
Namenamestring

Name of the new automation run.

SourcesourcestringSelect a value from the drop down menu.
Configconfigstring

Name of the configuration for the new automation run.

Config IdconfigIdstring

ID of the configuration for the new automation run. If both config and configId are specified, configId is given precedence.

Milestonemilestonestring

Name of the milestone for the new automation run.

Milestone IdmilestoneIdstringSelect a value from the drop down menu.
Tagstagsstring[]

List of tags for the new automation run. If a milestone in the same project has one or more matching automation tags, the new automation run is automatically linked to that milestone (unless milestone or milestoneId is also specified).

Artifactsartifactsstring[]

List of externally stored test artifacts to link to the new automation run (such as log files, screenshots or test data). See de documentation for details

Fieldsfieldsstring[]

List of fields to attach to the new automation run (such as environment variables, errors or terminal output). See de documentation for details

Linkslinksstring[]

List of links to attach to the new automation run (such as a link back to the build in the CI tool that triggered the tests). See de documentation for details

Action Authentication

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

To retrieve your API Key,

  • Navigate to your Testmo account and sign in
  • Click the dropdown on the top right
  • Go to “My profile & settings” > “API access”

About Testmo

The #1 unified test management tool. All your manual, exploratory & automated tests in one powerful platform. Full integration with Jira, GitHub, GitLab & more.

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