- Recipes
- Pinecone to Amazon S3 NDJSON file
Connect Pinecone and Amazon S3 NDJSON file in our serverless environment
Use this template to Fetch vectors from a Pinecone index using them to create NDJSON file entries in Amazon S3 Bucket.
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Fetch vectors from a Pinecone index
Used integrations:
- JavaScript
- Python
class PineconeSourceFetchVectors {
async init() {
// TODO: Create your pinecone credential
// More info at https://yepcode.io/docs/integrations/pinecone/#credential-configuration
this.pineconeClient = yepcode.integration.pinecone(
"your-pinecone-credential-name"
);
// TODO: Select the index name you want to recover.
// More info at https://docs.pinecone.io/docs/node-client#index
this.index = await this.pineconeClient.Index("your-index-name");
}
async fetch(publish, done) {
// TODO: Set your vectors id you want to fetch.
// More info at https://docs.pinecone.io/docs/node-client#indexfetch
const vectors = await this.index.fetch([
"example-id-vec1",
"example-id-vec2",
]);
for (const vector of vectors) {
// TODO: Customize record columns mapping to the item that will be published
const item = {
id: vector.id,
values: vector.values,
metadata: vector.metadata,
namespace: vector.namespace,
};
await publish(item);
}
done();
}
async close() {}
}
class PineconeSourceFetchVectors:
def setup(self):
# TODO: Create your Pinecone credential:
# More info at https://yepcode.io/docs/integrations/pinecone/#credential-configuration
self.pinecone_client = yepcode.integration.pinecone(
"your-pinecone-credential-name"
)
# TODO: Select the index name you want to recover.
# More info at: https://docs.pinecone.io/docs/python-client#index
self.index = self.pinecone_client.Index("your-index-name")
def generator(self):
# TODO: Set your vectors id you want to fetch.
# More https://docs.pinecone.io/docs/python-client#indexfetch
vectors = self.index.fetch(
ids=["example-id-vec1", "example-id-vec2"], namespace="your-namespace"
)
for vector in vectors:
yield vector
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkCreate NDJSON file entries in Amazon S3 Bucket
Used integrations:
- JavaScript
- Python
class AwsS3TargetUploadNdjson {
async init() {
// TODO: Create your aws-s3 credential
// More info at https://yepcode.io/docs/integrations/aws-s3/#credential-configuration
const awsS3 = yepcode.integration.awsS3("your-aws-s3-credential-name");
// Transforms the items into a ndjson format
this.stringifier = ndjson.stringify();
const targetStream = new PassThrough();
this.stringifier.pipe(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
const upload = new Upload({
client: awsS3,
params: {
Bucket: "your-bucket-name",
Key: "your-file-name.ndjson",
Body: targetStream,
},
});
upload.on("httpUploadProgress", (progress) => {
console.log(`Upload progress`, progress);
});
this.uploadPromise = upload.done();
}
async consume(item) {
this.stringifier.write(item);
}
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 ndjson
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 AwsS3TargetUploadNdjson:
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 = ndjson.writer(self.acc_stream, ensure_ascii=False)
def consume(self, generator, done):
for item in generator:
self.stringifier.writerow(item)
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.ndjson",
)
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.
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