What the data for this category looks like
Daily revenue yield report data for the auto service sector is sourced from daily operational ledgers of partner auto maintenance and repair chains, auto financial leasing companies, and new energy vehicle charging operators. Some data must be pulled via API interfaces, while some supports local file import. The update rhythm is as follows: full summary and verification of the previous day’s data is completed every early morning, with a maximum delay of 2 hours. Documents are structured as a 2D table or JSON format, including the following fields: store unique identifier, service category (maintenance, leasing, charging, etc.), daily operating principal, daily total revenue, daily revenue as a proportion of principal, regional benchmark revenue proportion, month-over-month change range. Field units:
- Store unique identifier: string
- Daily total revenue: yuan
- Daily revenue as a proportion of principal: decimal format
- Month-over-month change range: decimal format
What constraints these characteristics impose on the "forms and interactions" workflow
The data for this category comes from multiple dispersed sources with inconsistent field naming. This requires the form to support automatic field mapping across multiple data sources and a manual correction entry point. The fixed daily early morning update schedule requires that scheduled pull tasks in the form configuration align with this update window, to avoid pulling incomplete temporary data. Distinct fields across multiple service categories require the form to display input items grouped by category, preventing mixing of fields for different service types. Decimal-format revenue proportion fields require the form to include built-in numerical range validation, limiting input values to a reasonable interval, while supporting custom precision configuration. The uniqueness requirement for store unique identifiers requires duplicate value validation before form submission, to block duplicate imported store data.
How to set configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
fieldMapping | Preset general mapping + manual correction entry | Field naming for auto service ledgers varies; preset mapping reduces configuration costs, while manual correction entry adapts to field customizations for specific stores |
scheduleTrigger | Trigger daily at 03:00 | Data is summarized every early morning; this time point ensures complete previous day’s data is available, avoiding pulling incomplete temporary data |
dataValidation | Numeric range 0~1, retain 4 decimal places | Revenue proportion uses decimal format; this range aligns with business logic, and precision meets daily report statistical requirements |
duplicateCheck | Verify by storeId field, block duplicate entries | Store unique identifier is storeId; duplicate import of the same store data must be avoided |
batchImportMaxSize | 500 items per batch | Single batch data volume is moderate, avoids import timeouts, and aligns with the average daily data scale of auto service stores |
recallTopK | Customized per business requirements | Supports configuring the number of recalled documents, adapting to processing requirements for passing multiple content to the large model |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: After filling all form input items in the workflow and running it, the console displays
Cannot convert undefined or null to object. Cause: Required field mapping forfieldMappingis not configured, resulting in unassigned associated fields after form submission, triggering a type conversion error. - Phenomenon: After retrieving revenue yield daily report data, only a single result is returned, and the specified number of content items cannot be passed to the large model for processing. Cause: The
recallTopKparameter value is not adjusted; the default configuration only recalls 1 data item, failing to match the requirement for multi-content processing. - Phenomenon: After referencing a custom plugin, the input box is unresponsive or triggers an error when connecting to the code running node. Cause: The input-output mapping switch is not enabled in the plugin configuration, resulting in incorrect parameter link establishment between nodes.
How to verify a successful configuration
- Manually import a single test data set containing all required fields, confirm that form verification passes and field mapping matches the preset configuration.
- Trigger a manual pull task once, confirm that the pulled data matches the daily ledger data from the partner system.
- Run the workflow test function, verify that the output of the previous node can be used as an input parameter for subsequent nodes.
- Import test data containing duplicate store identifiers, confirm that duplicate value validation triggers blocking.
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.