- Recipes
- Amazon S3 CSV file to Azure Blob NDJSON file
Connect Amazon S3 CSV file and Azure Blob NDJSON file in our serverless environment
Use this template to Read CSV file entries from Amazon S3 bucket using them to create NDJSON file entries in Azure Blob Container.
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Read CSV file entries from Amazon S3 bucket
Used integrations:
- JavaScript
- Python
class AwsS3SourceReadRemoteCsv {
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");
}
async fetch(publish, done) {
// TODO: Customize the command to be executed
// More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-s3/interfaces/getobjectcommandinput.html
const getObjectCommand = new GetObjectCommand({
Bucket: "your-bucket-name",
Key: "your-file-name",
});
const getObjectResult = await this.awsS3.send(getObjectCommand);
// Result.Body is a stream of object content
getObjectResult.Body.pipe(
csv.parse({
delimiter: ",",
columns: true,
})
)
.on("data", publish)
.on("end", done);
}
async close() {}
}
import csv
import io
class AwsS3SourceReadRemoteCsv:
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")
# 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):
# TODO: Customize your bucket name and object key
# See all supported params in: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3/client/get_object.html
response = self.aws_s3_client.get_object(
Bucket="your-bucket-name",
Key="your-file-name",
)
bytes_stream = response["Body"]
csv_file_stream = io.TextIOWrapper(bytes_stream, encoding="utf-8")
reader = csv.DictReader(
csv_file_stream, delimiter=",", fieldnames=self.fieldnames
)
for row in reader:
yield row
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate NDJSON file entries in Azure Blob Container
Used integrations:
- JavaScript
- Python
class AzureBlobTargetUploadNdjson {
async init() {
// TODO: Create your azure blob credential
// More info at https://yepcode.io/docs/integrations/azure-blob/#credential-configuration
const azureBlob = yepcode.integration.azureBlob(
"your-azure-blob-credential-name"
);
// TODO: customize the container name and blob name to upload
// // More info at https://docs.microsoft.com/en-us/javascript/api/@azure/storage-blob/blobserviceclient?view=azure-node-latest#@azure-storage-blob-blobserviceclient-getcontainerclient
const containerClient = azureBlob.getContainerClient("container-name");
const blockBlobClient = containerClient.getBlockBlobClient("blob-name");
// Transforms the items into a ndjson format
this.stringifier = ndjson.stringify();
this.upload = blockBlobClient.uploadStream(this.stringifier);
}
async consume(item) {
this.stringifier.write(item);
}
async close() {
try {
this.stringifier.end();
} catch (error) {
console.error(`Error ending stringifier`, error);
}
try {
await this.upload;
} catch (error) {
console.error(`Error ending upload`, error);
}
}
}
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