- Recipes
- Google Storage NDJSON file to OpenAI prompt
Connect Google Storage NDJSON file and OpenAI prompt in our serverless environment
Use this template to Read NDJSON file entries from Google Storage bucket using them to send a prompt to OpenAI and generate completions.
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Read NDJSON file entries from Google Storage bucket
Used integrations:
JavaScript
Python
class GoogleStorageSourceReadRemoteNdjson {
async init() {
// TODO: Create your google-storage credential
// More info at https://yepcode.io/docs/integrations/google-storage/#credential-configuration
const googleStorage = yepcode.integration.googleStorage(
"your-google-storage-credential-name"
);
// TODO: Customize your bucket name
this.bucket = googleStorage.bucket("your-bucket-name");
}
async fetch(publish, done) {
// TODO: Customize your ndjson file path to download
await this.bucket
.file("one-folder/my-filename-1653415231696.ndjson")
.createReadStream()
.pipe(ndjson.parse())
.on("data", async (line) => {
await publish(line);
})
.on("end", done);
}
async close() {}
}
import ndjson
import io
class GoogleStorageSourceReadRemoteNdjson:
def setup(self):
# TODO: Create your Google Storage credential:
# More info at https://yepcode.io/docs/integrations/google-storage/#credential-configuration
self.storage_client = yepcode.integration.googleStorage(
"your-storage-credential-name"
)
def generator(self):
# TODO: Customize your bucket name and object key
bucket = self.storage_client.get_bucket("bucket_name")
blob = bucket.blob("object_key")
bytes_stream = io.BytesIO()
blob.download_to_file(bytes_stream)
bytes_stream.seek(0)
ndjson_file_stream = io.TextIOWrapper(bytes_stream, encoding="utf-8")
reader = ndjson.reader(ndjson_file_stream)
for row in reader:
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.completions.create({
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.completions.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
NdjsonFAQs
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.
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