Create Run with PractiTest API on New Requests (Payload Only) from HTTP / Webhook API

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New Requests (Payload Only) from the HTTP / Webhook API

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Create Run with the PractiTest API

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Getting Started#

This integration creates a workflow with a HTTP / Webhook 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 Requests (Payload Only) trigger
1. Connect your HTTP / Webhook account
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 Requests (Payload Only) on HTTP / Webhook

Description:Get a URL and emit the HTTP body as an event on every request

Version:0.1.1

Key:http-new-requests-payload-only

View on GitHub

HTTP / Webhook Overview#

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

$A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.$

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

Trigger Code#

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

// Core HTTP component
// Returns a 200 OK response, emits the HTTP payload as an event
export default {
  key: "http-new-requests-payload-only",
  name: "New Requests (Payload Only)",
  // eslint-disable-next-line
  description: "Get a URL and emit the HTTP body as an event on every request",
  version: "0.1.1",
  type: "source",
  props: {
    // eslint-disable-next-line
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    http,
  },
  async run(event) {
    const { body } = event;
    this.httpInterface.respond({
      status: 200,
      body,
    });
    // Emit the HTTP payload
    this.$emit({
      body,
    });
  },
};

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
N/A	`httpInterface`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
HTTP / Webhook	`http`	`app`	This component uses the HTTP / Webhook app.

Trigger Authentication#

The HTTP / Webhook API does not require authentication.

About HTTP / Webhook#

Get a unique URL where you can send HTTP or webhook requests

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.

Action Authentication#

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

PractiTest uses API tokens for authentication. You can create a new API token by going to the Account Settings - “API Tokens”, or going to your personal settings for Personal Tokens. Please visit API tokens for more information.

About PractiTest#

Empower organizations to create, deploy and run software with confidence.

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