- Recipes
- Google Storage CSV file to OpenAI prompt
Connect Google Storage CSV file and OpenAI prompt in our serverless environment
Use this template to Read CSV file entries from Google Storage bucket using them to send a prompt to OpenAI and generate completions.
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Read CSV file entries from Google Storage bucket
Used integrations:
JavaScript
Python
class GoogleStorageSourceReadRemoteCsv {
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 csv file path to download
await this.bucket
.file("one-folder/my-filename-1653415231696.csv")
.createReadStream()
.pipe(
csv.parse({
delimiter: ",",
columns: true,
})
)
.on("data", publish)
.on("end", done);
}
async close() {}
}
import csv
import io
class GoogleStorageSourceReadRemoteCsv:
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")
# TODO: If your csv does no have headers, you can define them here as a list:
# self.fieldnames = ["column1", "column2", "column3"]
self.fieldnames = None
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)
csv_file_stream = io.TextIOWrapper(bytes_stream, encoding="utf-8")
reader = csv.DictReader(csv_file_stream, delimiter=",", fieldnames=self.fieldnames)
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
CSVFAQs
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