- Recipes
- Pinecone to Azure Blob CSV file
Connect Pinecone and Azure Blob CSV file in our serverless environment
Use this template to Fetch vectors from a Pinecone index using them to create CSV file entries in Azure Blob Container.
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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 CSV file entries in Azure Blob Container
Used integrations:
- JavaScript
- Python
class AzureBlobTargetUploadCsv {
async init() {
// TODO: Create your azure blob credential
// More info at https://yepcode.io/docs/integrations/azure-blob/#credential-configuration
this.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 = this.azureBlob.getContainerClient("container-name");
const blockBlobClient = containerClient.getBlockBlobClient("blob-name");
// Transforms the items into a csv format
this.stringifier = csv.stringify({
delimiter: ",",
});
this.upload = blockBlobClient.uploadStream(this.stringifier);
}
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.upload;
} catch (error) {
console.error(`Error ending upload`, error);
}
}
}
Comming soon
We are releasing new Python recipes every week
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