What the data for this category looks like
Profit data for snack foods comes from offline chain supermarket POS settlement data, mainstream e-commerce platform store sales data, and brand supplier supply chain purchase ledgers. Update cadence is tiered. Offline supermarket data updates once weekly. E-commerce real-time transaction data updates daily. Brand monthly ledger data updates once monthly. Most documents use CSV or JSON formats. Each record corresponds to single-cycle profit information for a single SKU. Fields include product ID, product name, packaging specification, statistical cycle, terminal selling price (unit: yuan/item), total raw material cost (unit: yuan/item), and unit profit (unit: yuan/item). No percentage-based numeric fields are included.
Constraints on sharing and embedding workflows
Tiered update cadences, multiple SKU attributes, and differentiated fields create multiple constraints for the sharing and embedding process. First, tiered data sources require matching synchronization frequency configurations. Real-time sharing of e-commerce data requires enabling streaming protocols. Offline weekly updated data can use scheduled batch synchronization. Second, single records have many fields, and SKU counts are large. The sharing API must support multi-dimensional filtering by SKU ID, statistical cycle, and other dimensions. The retrieval component on embedded pages must adapt to multi-field filtering logic. Third, the unit profit field uses non-percentage units. Unit mapping must be pre-configured in the display component on embedded pages to avoid ambiguous presentation of information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Snack food profit data has many fields per record, requiring space to hold complete profit information for multiple SKUs |
recall count | Top 15–20 entries | The snack food category has a large number of SKUs, requiring coverage of sufficient relevant product data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Bulk importing profit documents with multiple SKUs results in large single-file data volumes, requiring extended parsing timeout |
SSE_PROTOCOL_ENABLE | true | Supports streaming push of real-time updated e-commerce profit data, adapting to high-frequency market report requirements |
enable_external_image_preview | true | Allows images in chatbot replies embedded on web pages to be zoomed in external windows, avoiding viewing restrictions within iframes |
API_SHARE_ENABLED | true | Enables knowledge base sharing API functionality, supporting external output of profit query results for embedding scenarios |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: Calling the sharing API returns
400 Bad Requestwith the prompt "Only stdio processes are supported". Cause: TheSSE_PROTOCOL_ENABLEconfiguration is not enabled, causing the sharing API to fail to recognize streaming protocol requests and adapt to real-time market push requirements. - Symptom: The knowledge base's snack food profit data can be retrieved in the debug page, but the sharing API call returns an empty result. Cause: The sharing API is not associated with the permission configuration of the corresponding knowledge base, or the
API_SHARE_ENABLEDswitch is not enabled, causing the API to fail to access profit data in the knowledge base. - Symptom: Chatbot replies embedded on web pages include profit-related chart images, which can only be scaled within the iframe and cannot be zoomed full-screen or externally. Cause: The
enable_external_image_previewconfiguration is not enabled, causing image preview to be restricted to the iframe container.
How to confirm configurations are correctly applied
- Call the sharing API interface, pass in snack food SKU query keywords, and check if the returned results include profit data for the corresponding products to confirm that the configuration takes effect.
- Open the test page for the embedded chatbot, send a query containing multiple SKUs, and check if the context of the returned result can hold multiple sets of profit data to confirm that the configuration adapts to the current data volume.
- Send a query containing profit charts on the test page, click the image in the reply, and check if it can be opened in an external window and scaled freely to confirm that the configuration takes effect.
- Import bulk snack food profit documents, check if the parsing progress completes normally without timeout errors, to confirm that the configuration adapts to the current document scale.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.