← AWS + CircleCI integrations

Trigger a Pipeline with CircleCI API on New Scheduled Tasks from AWS API

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Trigger workflow on
New Scheduled Tasks from the AWS API
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Trigger a Pipeline with the CircleCI API
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Getting Started

This integration creates a workflow with a AWS trigger and CircleCI 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 New Scheduled Tasks trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Optional- Configure Secret
  3. Configure the Trigger a Pipeline action
    1. Connect your CircleCI account
    2. Configure alert
    3. Configure Project Slug
    4. Configure Definition ID
    5. Optional- Configure Config Branch
    6. Optional- Configure Config Tag
    7. Optional- Configure Checkout Branch
    8. Optional- Configure Checkout Tag
    9. Optional- Configure Parameters
  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:Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.
Version:0.4.2
Key:aws-new-scheduled-tasks

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code

import base from "../common/scheduled.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  ...base,
  key: "aws-new-scheduled-tasks",
  name: "New Scheduled Tasks",
  description: toSingleLineString(`
    Creates a Step Function State Machine to publish a message
    to an SNS topic at a specific timestamp. The SNS topic delivers
    the message to this Pipedream source, and the source emits it as a new event.
  `),
  version: "0.4.2",
  type: "source",
  dedupe: "unique", // Dedupe on SNS message ID
  methods: {
    ...base.methods,
    getStateMachineDefinition() {
      const { PD_COMPONENT: componentId } = process.env;
      const topicArn = this.getTopicArn();
      return {
        Comment: `Task Scheduler for Pipedream component ${componentId}`,
        StartAt: "Wait",
        States: {
          Wait: {
            Comment: "Wait until specified timestamp",
            Type: "Wait",
            TimestampPath: "$.timestamp",
            Next: "SendMessageToSNS",
          },
          SendMessageToSNS: {
            Type: "Task",
            Resource: "arn:aws:states:::sns:publish",
            Parameters: {
              "TopicArn": topicArn,
              "Message.$": "$",
            },
            End: true,
          },
        },
      };
    },
    getStateMachinePermissions() {
      const topicArn = this.getTopicArn();
      const document = {
        Version: "2012-10-17",
        Statement: [
          {
            Effect: "Allow",
            Action: [
              "sns:Publish",
            ],
            Resource: [
              topicArn,
            ],
          },
        ],
      };
      const name = "publish-messages-to-pipedream-sns-topic";
      return {
        document,
        name,
      };
    },
  },
};

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
AWSawsappThis component uses the AWS app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis 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.
AWS RegionregionstringSelect a value from the drop down menu.
Secretsecretstring

Optional but recommended: if you enter a secret here, you must pass this value in the secret parameter of each HTTP POST request

Trigger Authentication

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action

Description:Trigger a pipeline given a pipeline definition ID. Supports all integrations except GitLab. [See the documentation](https://circleci.com/docs/api/v2/index.html#tag/Pipeline/operation/triggerPipelineRun)
Version:0.0.1
Key:circleci-trigger-pipeline

CircleCI Overview

The CircleCI API allows for seamless integration and automation of your CI/CD pipeline. By leveraging the API through Pipedream, you can trigger builds, monitor the status of pipelines, fetch build artifacts, and interact with various aspects of your CircleCI projects. This facilitates the creation of dynamic workflows that can streamline development practices, enhance deployment strategies, and ensure continuous integration processes are more efficient and less error-prone.

Action Code

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

export default {
  key: "circleci-trigger-pipeline",
  name: "Trigger a Pipeline",
  description: "Trigger a pipeline given a pipeline definition ID. Supports all integrations except GitLab. [See the documentation](https://circleci.com/docs/api/v2/index.html#tag/Pipeline/operation/triggerPipelineRun)",
  version: "0.0.1",
  type: "action",
  props: {
    circleci,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Supports all integrations except GitLab.",
    },
    projectSlug: {
      propDefinition: [
        circleci,
        "projectSlug",
      ],
    },
    definitionId: {
      type: "string",
      label: "Definition ID",
      description: "The unique ID for the pipeline definition. This can be found in the page Project Settings > Pipelines.",
    },
    configBranch: {
      type: "string",
      label: "Config Branch",
      description: "The branch that should be used to fetch the config file. Note that branch and tag are mutually exclusive. To trigger a pipeline for a PR by number use pull//head for the PR ref or pull//merge for the merge ref (GitHub only)",
      optional: true,
    },
    configTag: {
      type: "string",
      label: "Config Tag",
      description: "The tag that should be used to fetch the config file. The commit that this tag points to is used for the pipeline. Note that branch and tag are mutually exclusive.",
      optional: true,
    },
    checkoutBranch: {
      type: "string",
      label: "Checkout Branch",
      description: "The branch that should be used to check out code on a checkout step. Note that branch and tag are mutually exclusive. To trigger a pipeline for a PR by number use pull//head for the PR ref or pull//merge for the merge ref (GitHub only)",
      optional: true,
    },
    checkoutTag: {
      type: "string",
      label: "Checkout Tag",
      description: "The tag that should be used to check out code on a checkout step. The commit that this tag points to is used for the pipeline. Note that branch and tag are mutually exclusive.",
      optional: true,
    },
    parameters: {
      type: "object",
      label: "Parameters",
      description: "An object containing pipeline parameters and their values. Pipeline parameters have the following size limits: 100 max entries, 128 maximum key length, 512 maximum value length.",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.circleci.triggerPipeline({
      $,
      projectSlug: this.projectSlug,
      data: {
        definition_id: this.definitionId,
        config: this.configBranch || this.configTag
          ? {
            branch: this.configBranch,
            tag: this.configTag,
          }
          : undefined,
        checkout: this.checkoutBranch || this.checkoutTag
          ? {
            branch: this.checkoutBranch,
            tag: this.checkoutTag,
          }
          : undefined,
        parameters: typeof this.parameters === "string"
          ? JSON.parse(this.parameters)
          : this.parameters,
      },
    });

    if (response?.id) {
      $.export("$summary", `Successfully triggered pipeline with ID: ${response.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.

LabelPropTypeDescription
CircleCIcircleciappThis component uses the CircleCI app.
Project SlugprojectSlugstring

Project slug in the form vcs-slug/org-name/repo-name (found in Project Settings)

Definition IDdefinitionIdstring

The unique ID for the pipeline definition. This can be found in the page Project Settings > Pipelines.

Config BranchconfigBranchstring

The branch that should be used to fetch the config file. Note that branch and tag are mutually exclusive. To trigger a pipeline for a PR by number use pull//head for the PR ref or pull//merge for the merge ref (GitHub only)

Config TagconfigTagstring

The tag that should be used to fetch the config file. The commit that this tag points to is used for the pipeline. Note that branch and tag are mutually exclusive.

Checkout BranchcheckoutBranchstring

The branch that should be used to check out code on a checkout step. Note that branch and tag are mutually exclusive. To trigger a pipeline for a PR by number use pull//head for the PR ref or pull//merge for the merge ref (GitHub only)

Checkout TagcheckoutTagstring

The tag that should be used to check out code on a checkout step. The commit that this tag points to is used for the pipeline. Note that branch and tag are mutually exclusive.

Parametersparametersobject

An object containing pipeline parameters and their values. Pipeline parameters have the following size limits: 100 max entries, 128 maximum key length, 512 maximum value length.

Action Authentication

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

An API token can be created using the account dashboard. More info via API Overview.

About CircleCI

Continuous integration and delivery platform

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