Create Run with PractiTest API on New Row from Snowflake API

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Trigger workflow on

New Row from the Snowflake API

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Create Run with the PractiTest API

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Getting Started#

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

Select this integration
Configure the New Row trigger
1. Connect your Snowflake account
2. Configure timer
3. Select a Database
4. Select a Schema
5. Select a Table Name
6. Select a Unique Key
7. Optional- Configure Emit individual events
Configure the Create Run action
1. Connect your PractiTest account
2. Select a Project
3. Select a Instance
4. Optional- Configure Exit Code
5. Optional- Configure Run Duration
6. Optional- Configure Automated Execution Output
7. Optional- Configure Version
8. Optional- Configure Custom Fields
9. Optional- Configure Steps
10. Optional- Configure Files
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#

New Row on Snowflake

Description:Emit new event when a row is added to a table

Version:0.1.11

Key:snowflake-new-row

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-table-scan.mjs";

export default {
  ...common,
  type: "source",
  key: "snowflake-new-row",
  name: "New Row",
  description: "Emit new event when a row is added to a table",
  version: "0.1.11",
  methods: {
    ...common.methods,
    async getStatement(lastResultId) {
      const sqlText = `
        SELECT *
        FROM IDENTIFIER(:1)
        WHERE ${this.uniqueKey} > :2
        ORDER BY ${this.uniqueKey} ASC
      `;
      const binds = [
        this.tableName,
        lastResultId,
      ];
      return {
        sqlText,
        binds,
      };
    },
  },
};

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 changes on this schedule
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.
Emit individual events	`emitIndividualEvents`	`boolean`	Defaults to `true`, triggering workflows on each record in the result set. Set to `false` to emit records in batch (advanced)

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.

Enter the username, password, and other details below. The account field expects your Snowflake account identifier. You may need to include the full identifier and region as a part of this string, e.g. au12345.us-east-1. Please consult your instance and Snowflake docs for more detail.

About Snowflake#

A data warehouse built for the cloud

Action#

Create Run on PractiTest

Description:Create a run [See docs here](https://www.practitest.com/api-v2/#create-a-run-automated-test)

Version:0.0.1

Key:practitest-create-run

View on GitHub

PractiTest Overview#

PractiTest is a test management tool that facilitates the organization, tracking, and planning of software testing processes by integrating with Pipedream's automation capabilities. With the PractiTest API, you're able to manipulate test cases, sets, runs, and report on results programmatically. This powerful combination opens the door to automated workflows that enhance testing processes, improve bug tracking, and provide real-time feedback to your team.

Action Code#

import practitest from "../../app/practitest.app.mjs";
import { defineAction } from "@pipedream/types";
import { ConfigurationError } from "@pipedream/platform";
import { DOCS } from "../../common/constants.mjs";
export default defineAction({
    name: "Create Run",
    description: `Create a run [See docs here](${DOCS.createRun})`,
    key: "practitest-create-run",
    version: "0.0.1",
    type: "action",
    props: {
        practitest,
        projectId: {
            propDefinition: [
                practitest,
                "project",
            ],
        },
        instanceId: {
            propDefinition: [
                practitest,
                "instance",
                (c) => ({
                    projectId: c.projectId,
                }),
            ],
        },
        exitCode: {
            type: "integer",
            label: "Exit Code",
            description: "0 for passed, otherwise failed",
            optional: true,
        },
        runDuration: {
            type: "string",
            label: "Run Duration",
            description: "(HH:MM:SS), to update the run duration of a specific instance	",
            optional: true,
        },
        automatedExecutionOutput: {
            type: "string",
            label: "Automated Execution Output",
            description: "Text output string that will be shown in 'Execution output' field (up to 255 characters)",
            optional: true,
        },
        version: {
            propDefinition: [
                practitest,
                "version",
            ],
            description: "String of the run version",
        },
        customFields: {
            propDefinition: [
                practitest,
                "customFields",
            ],
        },
        steps: {
            type: "string[]",
            label: "Steps",
            description: `An array of JSON-stringified steps objects. [See the docs for a detailed description and examples.](${DOCS.createRun})`,
            optional: true,
        },
        files: {
            type: "string[]",
            label: "Files",
            description: `An array of JSON-stringified file objects. The files' content should be encoded as base64. [See the docs for a detailed description and examples.](${DOCS.createRun})`,
            optional: true,
        },
    },
    async run({ $ }) {
        const { projectId, instanceId, exitCode, runDuration, automatedExecutionOutput, version, customFields, } = this;
        // parse steps and files as json strings
        const params = {
            $,
            projectId,
            attributes: {
                "instance-id": instanceId,
                "exit-code": exitCode,
                "run-duration": runDuration,
                "automated-execution-output": automatedExecutionOutput,
                version,
                "custom-fields": customFields,
            },
        };
        [
            "steps",
            "files",
        ].forEach((prop) => {
            const value = this[prop];
            if (value) {
                try {
                    params[prop] = {
                        data: value.map((str) => JSON.parse(str)),
                    };
                }
                catch (err) {
                    throw new ConfigurationError(`**JSON parse error** - check if the \`${prop}\` prop is a valid JSON-stringified object`);
                }
            }
        });
        const response = await this.practitest.createRun(params);
        $.export("$summary", `Successfully created run (id ${response.data.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
PractiTest	`practitest`	`app`	This component uses the PractiTest app.
Project	`projectId`	`string`	Select a value from the drop down menu.
Instance	`instanceId`	`string`	Select a value from the drop down menu.
Exit Code	`exitCode`	`integer`	0 for passed, otherwise failed
Run Duration	`runDuration`	`string`	(HH:MM:SS), to update the run duration of a specific instance
Automated Execution Output	`automatedExecutionOutput`	`string`	Text output string that will be shown in 'Execution output' field (up to 255 characters)
Version	`version`	`string`	String of the run version
Custom Fields	`customFields`	`object`	A hash of custom-fields with their value
Steps	`steps`	`string[]`	An array of JSON-stringified steps objects. See the docs for a detailed description and examples.
Files	`files`	`string[]`	An array of JSON-stringified file objects. The files' content should be encoded as base64. See the docs for a detailed description and examples.