- Recipes
- Google BigTable to DALL-E (OpenAI) image
Connect Google BigTable and DALL-E (OpenAI) image in our serverless environment
Use this template to Read rows from Google BigTable using them to send a prompt to OpenAI and generate DALL-E images.
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Read rows from Google BigTable
Used integrations:
JavaScript
Python
class GoogleBigtableSourceGetRows {
async init() {
// TODO: Create your google-bigtable credential
// More info at https://yepcode.io/docs/integrations/google-bigtable/#credential-configuration
const googleBigTable = yepcode.integration.googleBigTable(
"your-google-bigquery-bigtable-name"
);
// TODO: Customize your instance and table names
this.table = await googleBigTable
.instance("your-instance-name")
.table("your-table-name");
}
async fetch(publish, done) {
// You can customize get options. eg: get matching keys
// Look at: https://cloud.google.com/nodejs/docs/reference/bigtable/latest/bigtable/getrowsoptions
const getRowsOptions = {};
const [rows] = await this.table.getRows(getRowsOptions);
for (const rowResponse of rows) {
const [row] = await rowResponse.get();
const item = this._mapRowToItem(row);
await publish(item);
}
done();
}
_mapRowToItem(row) {
const columnsAndLastValue = Object.entries(row.data).map(
([columnName, columnContent]) => [
columnName,
this._getLastColumnValue(columnContent),
]
);
return Object.fromEntries(columnsAndLastValue);
}
_getLastColumnValue(columnContent) {
// The second [0] is to access the last value
// You can access previous values by accessing the next
// elements in the list
return columnContent[0][0].value;
}
async close() {}
}
from google.cloud.bigtable import row_filters
class GoogleBigtableSourceGetRows:
def setup(self):
# TODO: Create your BigTable credential:
# More info at https://yepcode.io/docs/integrations/google-bigtable/#credential-configuration
self.big_table_client = yepcode.integration.googleBigTable(
"your-bigtable-credential-name"
)
def generator(self):
# TODO: Customize instance id, table id and filters if needed
instance = self.big_table_client.instance("instance-id")
table = instance.table("table_id")
filter = row_filters.RowFilterChain(
filters=[
row_filters.FamilyNameRegexFilter("column-family-id"),
row_filters.ColumnQualifierRegexFilter("column-qualifier"),
row_filters.ValueRegexFilter("value"),
]
)
rows = table.read_rows(filter_=filter)
# TODO: Customize the item to yield
for row in rows:
item = {"row_key": row.row_key.decode('utf-8')}
for cf, cols in row.cells.items():
for col, cells in cols.items():
for cell in cells:
# This will only get the latest version of the cell value
item[f"{cf}:{col}"] = cell.value.decode('utf-8')
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
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