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Connect OpenAI prompt and Azure Blob NDJSON file in our serverless environment

Use this template to Get OpenAI prompt responses using them to create NDJSON file entries in Azure Blob Container.

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Get OpenAI prompt responses

Used integrations:
class OpenaiSourceGetPromptResponse {
async init() {
// TODO: Create your OpenAI credential
// More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
this.openai = yepcode.integration.openai("your-openai-credential-name");
}

async fetch(publish, done) {
// TODO: Configure your prompt
const funnyPrompts = [
"What do you think of humans?",
"Do you prefer tabs or spaces?",
"What's the meaning of life, the universe, and everything?",
"What's your favorite programming joke?",
"What's the worst code you've ever seen?",
];
// More info at: https://platform.openai.com/docs/api-reference/completions/create
const completion = await this.openai.completions.create({
model: "gpt-3.5-turbo",
prompt: funnyPrompts,
max_tokens: 7,
temperature: 0,
});

for (const choice of completion.choices) {
await publish(choice);
}
done();
}

async close() {}
}

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Create NDJSON file entries in Azure Blob Container

Used integrations:
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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