- Recipes
- Pinecone to Google Storage CSV file
Connect Pinecone and Google Storage CSV file in our serverless environment
Use this template to Fetch vectors from a Pinecone index using them to create CSV file entries in Google Storage Bucket.
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Fetch vectors from a Pinecone index
Used integrations:
JavaScript
Python
class PineconeSourceFetchVectors {
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");
}
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() {}
}
from pinecone import Pinecone
class PineconeSourceFetchVectors:
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")
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 CSV file entries in Google Storage Bucket
Used integrations:
- JavaScript
- Python
class GoogleStorageTargetUploadCsv {
async init() {
// More info at https://www.npmjs.com/package/@google-cloud/storage
// TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
const googleStorage = new Storage({
projectId: yepcode.env.GOOGLE_STORAGE_PROJECT_ID,
credentials: JSON.parse(yepcode.env.GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON),
});
// TODO: Customize your bucket name
const bucket = googleStorage.bucket(yepcode.env.GOOGLE_STORAGE_BUCKET_NAME);
// TODO: choose a destination file
const blob = bucket.file(`one-folder/my-filename-${Date.now()}.csv`);
this.ws = blob.createWriteStream({
metadata: {
contentType: "text/csv",
},
});
// Transform the items into a csv format
this.stringifier = csv.stringify({
delimiter: ",",
});
this.stringifier.pipe(this.ws);
}
async consume(item) {
// TODO: Customize csv row content with your item content
const csvRow = [item.id, item.name];
this.stringifier.write(csvRow);
}
async close() {
this.stringifier.end();
}
}
import csv
import io
import json
import google.cloud.storage
from google.oauth2.service_account import Credentials
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 GoogleStorageTargetUploadCsv:
def setup(self):
# More info at https://pypi.org/project/google-cloud-storage
# TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
credentials_dict = json.loads(yepcode.env.GOOGLE_APPLICATION_CREDENTIALS)
self.storage_client = google.cloud.storage.Client(
project=yepcode.env.GOOGLE_PROJECT_ID,
credentials=Credentials.from_service_account_info(credentials_dict)
)
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:
bucket = self.storage_client.get_bucket("bucket_name")
blob = bucket.blob("object_key")
# Upload from a stream
blob.upload_from_file(self.acc_stream.get_stream())
except Exception as error:
print(f"Error uploading object: {error}")
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.
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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.