- Recipes
- Remote CSV file to Amazon S3 CSV file
Connect Remote CSV file and Amazon S3 CSV file in our serverless environment
Use this template to Read CSV entries from a remote file using them to create CSV file entries in Amazon S3 Bucket.
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Read CSV entries from a remote file
Used integrations:
- JavaScript
- Python
class HttpSourceReadRemoteCsv {
async init() {
// TODO: Create your http credential with endpoint information:
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// It may manage headers or authentication
this.httpClient = yepcode.integration.http("your-http-credential-name");
}
async fetch(publish, done) {
// TODO: Customize the path to the csv file
await this.httpClient
.get("/the-csv-file-path.csv", {
responseType: "stream",
})
.then(({
data
}) => {
data
.pipe(
csv.parse({
trim: true,
columns: true,
delimiter: ",",
skip_empty_lines: true,
})
)
.on("data", async (line) => {
// TODO: Map your item
const item = {
id: line.Index,
name: line.Name
};
await publish(item);
})
.on("end", done);
});
}
async close() {}
}
import csv
class HttpSourceReadRemoteCsv:
def setup(self):
# TODO: Create your http credential with endpoint information:
# More info at https://yepcode.io/docs/integrations/http/#credential-configuration
# It may manage headers or authentication
self.session = yepcode.integration.http("your-http-csv-credential-name")
# TODO: If your csv does no have headers, you can define them here as a list:
# self.fieldnames = ["column1", "column2", "column3"]
self.fieldnames = None
def generator(self):
response = self.session.get("/the-csv-file-path.csv", stream=True)
response.raise_for_status()
lines = response.iter_lines(decode_unicode=True)
reader = csv.DictReader(lines, fieldnames=self.fieldnames)
for row in reader:
yield row
lines.close()
response.close()
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate CSV file entries in Amazon S3 Bucket
Used integrations:
- JavaScript
- Python
class AwsS3TargetUploadCsv {
async init() {
// TODO: Create your aws-s3 credential
// More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
this.awsS3 = yepcode.integration.awsS3("your-aws-s3-credential-name");
// Transforms the items into a csv format
this.stringifier = csv.stringify({
delimiter: ",",
});
this.targetStream = new PassThrough();
this.stringifier.pipe(this.targetStream);
// TODO: customize the Upload content
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/interfaces/_aws_sdk_lib_storage.options-1.html
this.upload = new Upload({
client: this.awsS3,
params: {
Bucket: "your-bucket-name",
Key: "your-file-name.csv",
Body: this.targetStream,
},
});
this.upload.on("httpUploadProgress", (progress) => {
console.log(`Upload progress`, progress);
});
this.uploadPromise = this.upload.done();
}
async consume(item) {
// TODO: customize the csv row to create from your item content
const csvRow = [item.value, item.text];
this.stringifier.write(csvRow);
}
async close() {
try {
this.stringifier.end();
} catch (error) {
console.error(`Error ending stringifier`, error);
}
try {
await this.uploadPromise;
} catch (error) {
console.error(`Error ending upload`, error);
}
}
}
import csv
import io
class AccumulatingStream:
def __init__(self):
self.data = io.BytesIO()
def write(self, item):
self.data.write(item.encode("utf-8"))
def get_stream(self):
self.data.seek(0)
return self.data
class AwsS3TargetUploadCsv:
def setup(self):
# TODO: Create your S3 credential:
# More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
self.aws_s3_client = yepcode.integration.awsS3("your-s3-credential-name")
self.acc_stream = AccumulatingStream()
self.stringifier = csv.writer(self.acc_stream, delimiter=",")
def consume(self, generator, done):
for item in generator:
# TODO: customize the csv row to create from your item content
csv_row = [item["value"], item["text"]]
self.stringifier.writerow(csv_row)
done()
def close(self):
# TODO: customize the bucket name and object key
try:
self.aws_s3_client.upload_fileobj(
self.acc_stream.get_stream(),
"bucket-name",
"path/to/object.csv",
)
except Exception as error:
print(f"Error uploading object: {error}")
FAQs
YepCode is a SaaS platform that enables the creation, execution and monitoring of integrations and automations using source code in a serverless environment.
We like to call it the Zapier for developers, since we bring all the agility and benefits of NoCode tools (avoid server provisioning, environment configuration, deployments,...), but with all the power of being able to use a programming language like JavaScript or Python.
These recipes are an excellent starting point for creating your own YepCode processes and solving complex integration and automation problems.
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YepCode has been created with a clear enterprise focus, offering a multi-tenant environment, team management capabilities, high security and auditing standards, Identity Provider (IdP) integrations, and on-premise options. It serves as the Swiss army knife for engineering teams, especially those requiring the extraction or transmission of information to external systems. It excels in scenarios demanding flexibility and adaptability to change within the process.
Sure! You only need to configure YepCode servers to establish a connection with that service. Check our docs page to get more information.