How it works
To create vkCloudS3 records from SeaTable without manual input, use a ready-made scenario.
- Starts when: start
- Then: get_raw_image_table_data
- Check: filter_raw_row
- If yes: loop_image_analyzation
- Then: limit_2
- Then: get_product_table
- Check: If
- If no: update_drive_file_id
- Then: Wait
- Then: store_id
- Then: get_collection_data
- Then: refine_collection_output
- Check: product_info_creation
- Then: get_analyzed_row2
- Then: Create a product
- Then: update_product_update_status
- Then: get_analyzed_row
- Then: limit_
- Then: Basic LLM Chain
- Then: update_product_details
- Then: limit_1
- Then: download_image
- Then: analyze_image
- Then: update_image_data
- Then: Auto-fixing Output Parser
- Then: Structured Output Parser
- Then: Gimini Model
You can launch this SeaTable + vkCloudS3 integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.