- Recipes
- Amazon S3 CSV file to Pinecone
Connect Amazon S3 CSV file and Pinecone in our serverless environment
Use this template to Read CSV file entries from Amazon S3 bucket using them to upserts vectors into a Pinecone index.
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Read CSV file entries from Amazon S3 bucket
Used integrations:
JavaScript
Python
class AwsS3SourceReadRemoteCsv {
async init() {
// More info at https://www.npmjs.com/package/@aws-sdk/client-s3
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
this.awsS3 = new S3Client({
region: yepcode.env.AWS_REGION,
credentials: {
accessKeyId: yepcode.env.AWS_ACCESS_KEY_ID,
secretAccessKey: yepcode.env.AWS_SECRET_ACCESS_KEY,
},
});
}
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
import boto3
class AwsS3SourceReadRemoteCsv:
def setup(self):
# More info at https://boto3.amazonaws.com/v1/documentation/api/latest/index.html
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
self.aws_s3_client = boto3.client(
's3',
aws_access_key_id=yepcode.env.AWS_ACCESS_KEY_ID,
aws_secret_access_key=yepcode.env.AWS_SECRET_ACCESS_KEY,
region_name=yepcode.env.AWS_REGION
)
# 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 talkUpserts vectors into a Pinecone index
Used integrations:
- JavaScript
- Python
class PineconeTargetUpsertVectors {
async init() {
// More info at https://www.npmjs.com/package/@pinecone-database/pinecone
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
this.pineconeClient = new Pinecone({
apiKey: yepcode.env.PINECONE_API_KEY,
});
// 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");
this.vectors = [];
}
async consume(item) {
// TODO: Save vectors you want to upsert into a namespace.
this.vectors.push({
id: item.id,
values: item.values,
metadata: item.metadata,
});
}
async close() {
// TODO: Write vectors into a namespace.
// More info at https://docs.pinecone.io/docs/node-client#indexupsert
await this.index.upsert({
upsertRequest: {
vectors: this.vectors,
namespace: "your-namespace",
},
});
}
}
from pinecone import Pinecone
class PineconeTargetUpsertVectors:
def setup(self):
# More info at https://pypi.org/project/pinecone/
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
self.pinecone_client = Pinecone(api_key=yepcode.env.PINECONE_API_KEY)
# 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")
self.vectors = []
def consume(self, generator):
# TODO: Save vectors you want to upsert into a namespace.
for item in generator:
self.vectors.append(
{
"id": item.id,
"values": item.values,
"metadata": item.metadata,
}
)
def close(self):
# TODO: Write vectors into a namespace.
# More info at: https://docs.pinecone.io/docs/python-client#indexupsert
self.index.upsert(self.vectors, namespace="your-namespace")
pass
CSVFAQs
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.
You only have to complete the sign up form and your account will be created with our FREE plan (no credit card required).
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.