- Recipes
- Snowflake to DALL-E (OpenAI) image
Connect Snowflake and DALL-E (OpenAI) image in our serverless environment
Use this template to Read rows from Snowflake table using them to send a prompt to OpenAI and generate DALL-E images.
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Read rows from Snowflake table
Used integrations:
JavaScript
Python
class SnowflakeSourceSelect {
async init() {
// TODO: Create your snowflake credential
// More info at https://yepcode.io/docs/integrations/snowflake/#credential-configuration
this.snowflake = yepcode.integration.snowflake(
"your-snowflake-credential-name"
);
await this.snowflake.connect();
}
async fetch(publish, done) {
// TODO: Customize your SQL query
this.snowflake
.execute({
sqlText: "SELECT * FROM YOUR_TABLE LIMIT 30",
})
.streamRows()
.on("data", publish)
.on("end", done);
}
async close() {
await this.snowflake.destroy();
}
}
import time
class SnowflakeSourceSelect:
def setup(self):
# TODO: Create your Snowflake credential:
# More info at https://yepcode.io/docs/integrations/snowflake/#credential-configuration
self.snowflake_connection = yepcode.integration.snowflake(
"your-snowflake-credential-name"
)
def generator(self):
cursor = self.snowflake_connection.cursor()
# TODO: customize the query: table name, filter conditions, bind params, etc.
# More info at: https://docs.snowflake.com/developer-guide/python-connector/python-connector-example#querying-data
cursor.execute(
"SELECT * FROM your_table WHERE some_field = %s LIMIT 1000;",
("some_field_value",),
)
for item in cursor:
yield item
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkSend a prompt to OpenAI and generate DALL-E images
Used integrations:
- JavaScript
- Python
class OpenaiTargetGenerateImage {
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/images
const response = await this.openai.createImage({
prompt: item.prompt || "A cute baby sea otter",
n: item.n || 2,
size: item.size || "1024x1024",
});
// Use the completion for whatever you want
console.log(response.data.data)
}
async close() {}
}
class OpenaiTargetGenerateImage:
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/images
for item in generator:
response = self.openai.Image.create(
prompt=item.get("prompt"), n=1, size="256x256"
)
print(response.data)
done()
def close(self):
pass
FAQs
YepCode is a SaaS platform that allows to create, execute and monitor 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 a good starting point for you to build your own YepCode processes and solve your integration and automation problems.
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YepCode has been created with a clear enterprise approach (multi-tenant environment, team management, high security and auditing standards, IdP integrations, on-premise options,...) so we can be the Swiss army knife of any team of engineering, especially those that need to extract or send information to external systems, and where a certain dynamism or adaptation to change is necessary in that process.
Sure! You just need to do some configuration to allow YepCode servers to connect to that service. Check our docs page to get more information.