Seqera
One platform for scientific data analysis.
Integrate the Seqera API with the Amazon SES API
Setup the Seqera API trigger to run a workflow which integrates with the Amazon SES API. Pipedream's integration platform allows you to integrate Seqera and Amazon SES remarkably fast. Free for developers.
Popular Seqera and Amazon SES Triggers#
Emit new event when a new run is created in Seqera. See the documentation
Popular Seqera and Amazon SES Actions#
Creates a new compute environment in Seqera Tower. See the documentation
Create a HTML or a plain text email template. See the docs
Creates a new pipeline action in Seqera. See the documentation
Overview of Seqera#
The Seqera API serves as a connection point for handling complex data pipeline and workflow orchestration tasks within the life sciences domain. With this API, you can manage workflows, monitor pipeline executions, and control job submissions. Leveraging Pipedream, you can seamlessly integrate Seqera with various services to automate processes, react to pipeline events, or synchronize data across platforms, thus enhancing efficiency in bioinformatics analysis.
Connect Seqera#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
seqera: {
type: "app",
app: "seqera",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tower.nf/user-info`,
headers: {
Authorization: `Bearer ${this.seqera.$auth.api_token}`,
},
})
},
})
Overview of Amazon SES#
Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.
Connect Amazon SES#
module.exports = defineComponent({
props: {
amazon_ses: {
type: "app",
app: "amazon_ses",
}
},
async run({steps, $}) {
const AWS = require("aws-sdk")
const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
const ses = new AWS.SES({
accessKeyId,
secretAccessKey,
region: 'us-east-1',
})
const sesParams = {
Destination: {
ToAddresses: ["<your email here>"],
},
Message: {
Body: {
Html: {
Charset: "UTF-8",
Data: "<h1>This is a test</h1>",
},
Text: {
Charset: "UTF-8",
Data: "This is a test",
}
},
Subject: {
Charset: "UTF-8",
Data: "Test email",
}
},
Source: "<your from address here",
};
this.resp = await ses.sendEmail(sesParams).promise()
},
})