Create Run with PractiTest API on Daily schedule from Schedule API

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Trigger workflow on

Daily schedule from the Schedule API

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Create Run with the PractiTest API

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Getting Started#

This integration creates a workflow with a Schedule 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 Daily schedule trigger
1. Connect your Schedule account
2. Configure Cron Schedule
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#

Daily schedule on Schedule

Description:Trigger your workflow every day.

Version:0.0.1

Key:schedule-daily

View on GitHub

Schedule Overview#

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.

Trigger Code#

import schedule from "../../schedule.app.mjs";

export default {
  name: "Daily schedule",
  version: "0.0.1",
  key: "schedule-daily",
  type: "source",
  description: "Trigger your workflow every day.",
  props: {
    schedule,
    cron: {
      propDefinition: [
        schedule,
        "cron",
      ],
      default: {
        cron: "0 11 * * *",
      },
    },
  },
};

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
Schedule	`schedule`	`app`	This component uses the Schedule app.
Cron Schedule	`cron`	`$.interface.timer`	Enter a cron expression

Trigger Authentication#

The Schedule API does not require authentication.

About Schedule#

Trigger workflows on an interval or cron schedule.

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.