- Recipes
- Google BigQuery to OpenAI prompt
Connect Google BigQuery and OpenAI prompt in our serverless environment
Use this template to Read rows from Google BigQuery table using them to send a prompt to OpenAI and generate completions.
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Read rows from Google BigQuery table
Used integrations:
JavaScript
Python
class GoogleBigquerySourceSelect {
async init() {
// TODO: Create your google-bigquery credential
// More info at https://yepcode.io/docs/integrations/google-bigquery/#credential-configuration
this.googleBigQuery = yepcode.integration.googleBigQuery(
"your-google-bigquery-credential-name"
);
}
async fetch(publish, done) {
// TODO: Customize your query
const query = `SELECT *
FROM \`your_db.your_schema.your_table_name\`
LIMIT 10`;
// for all options, see https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/query
const options = {
query: query,
// Location must match that of the dataset(s) referenced in the query.
location: "US",
};
// run the query as a job
const [job] = await this.googleBigQuery.createQueryJob(options);
console.log(`Job ${job.id} started.`);
// wait for the query to finish
const [rows] = await job.getQueryResults();
for (const row of rows) {
await publish(row);
}
done();
}
async close() {}
}
class GoogleBigquerySourceSelect:
def setup(self):
# TODO: Create your BigQuery credential:
# More info at https://yepcode.io/docs/integrations/google-bigquery/#credential-configuration
self.big_query_client = yepcode.integration.googleBigQuery(
"your-bigquery-credential-name"
)
def generator(self):
# TODO: Customize dataset and table ids and query content
dataset_id = "dataset_id"
table_id = "table_id"
query = (
f"SELECT * FROM `{self.big_query_client.project}.{dataset_id}.{table_id}`"
)
query_job = self.big_query_client.query(query)
rows = query_job.result()
for row in rows:
yield row
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkSend a prompt to OpenAI and generate completions
Used integrations:
JavaScript
Python
class OpenaiTargetSendPrompt {
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 consume(item) {
// TODO: Configure your prompt
// More info at: https://platform.openai.com/docs/api-reference/completions/create
const completion = await this.openai.createCompletion({
model: item.model,
prompt: item.prompt,
max_tokens: item.maxTokens,
temperature: item.temperature,
});
// Use the completion for whatever you want
console.log(completion.data.choices[0].text);
}
async close() {}
}
class OpenaiTargetSendPrompt:
def setup(self):
# TODO: Create your OpenAI credential
# More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
self.openai = yepcode.integration.openai("your-openai-credential-name")
def consume(self, generator, done):
# TODO: Configure your prompt
# More info at: https://platform.openai.com/docs/api-reference/completions/create
for item in generator:
completion = self.openai.Completion.create(
model="text-davinci-003",
prompt=item.get("prompt"),
max_tokens=7,
temperature=0,
)
# Use the completion for whatever you want
print(completion.choices)
done()
def close(self):
pass
FAQs
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