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Connect OpenAI prompt and Clickhouse in our serverless environment

Use this template to Get OpenAI prompt responses using them to insert rows into Clickhouse table.

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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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Insert rows into Clickhouse table

Used integrations:
class ClickhouseTargetInsert {
async init() {
// TODO: Create your clickhouse credential
// More info at https://yepcode.io/docs/integrations/clickhouse/#credential-configuration
this.clickhouse = yepcode.integration.clickhouse(
"your-clickhouse-credential-name"
);
// TODO: customize your sql query
// This opens insert stream for your table
this.stream = new Stream.Readable({
objectMode: true
});
this.ws = client.insert({
table: "your_table_name",
values: stream,
format: "JSONCompactEachRow",
});
}

async consume(item) {
// TODO: Map your item to row
this.stream.push(item);
}

async close() {
// wait stream to finish
this.stream.push(null);
await this.ws;
await this.clickhouse.close();
}
}

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