What the data for this category looks like
Data comes from public licensed financial market data sources and regulatory disclosure documents. It updates once per trading day, with daily reports generated after market close. Documents use structured table format with standardized fields. Fields include: product unique identifier, full product name, daily unit net value, daily profit amount, benchmark profit reference value, daily trading scale. Corresponding units are: code, text, currency unit, currency unit, currency unit, trading unit. No percentage units are used.
What constraints these characteristics impose on form and interaction
Standardized structured table fields require forms to support custom field mapping and validation rules. This adapts to differences in field naming across publishing institutions. Fixed daily update schedules require interaction flows to distinguish between trading days and non-trading days. This prevents users from submitting invalid data during non-trading hours. Bulk data for multiple products requires forms to support paginated loading, bulk editing, and bulk submission. This avoids interface freezes and operation timeouts. Financial data rigor requires adding a data preview step during interaction. This ensures imported file fields match business requirements.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Structured files for publishing daily reports usually contain detailed data for hundreds of products. Single file sizes typically fall in the hundreds of MB range, and this value covers conventional import requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing structured table files requires traversing multiple columns of data, which may take longer in complex scenarios. This setting prevents premature termination of parsing |
Form Field Mapping Rules | Use fuzzy matching of field names + manual correction | Field naming varies across publishing institutions. This configuration lowers import barriers and adapts to daily report files from multiple sources |
Bulk Operation Concurrency | 10–15 | When processing yield data in bulk, excessive concurrency triggers rate limiting from data source APIs. This range balances processing efficiency and stability |
Input Validation Switch | Enable numeric field validation | Fields related to yields are numeric types. Enabling validation intercepts invalid inputs early and reduces subsequent processing errors |
Scheduled Task Trigger Time | 16:30–17:30 | Most trading days close at 15:00, with a 1-2 hour window for data generation afterward. Triggering during this window ensures access to full daily market data |
The parameter values provided on this page are common recommendations used as 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 mistakes
- When embedding the application via iframe, clicking text to trigger a pop-up with an input box causes the send button to be grayed out and unavailable. Cross-domain communication for the embedded page is not correctly configured, so input box content is not synchronized to the FastGPT application's context variables. This triggers the empty input validation rule.
- When bulk uploading structured daily report files, the first dozen entries process normally, but subsequent processing fails. The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. File parsing is forcefully terminated after the timeout, so subsequent data fails to load completely. - When importing daily report data with too many fields, the AI chat node returns an empty result. Input length validation is not enabled, and the
maxContextparameter is not configured to limit context length. The model's input limit is exceeded, triggering an implicit error.
How to confirm configuration is complete
- Upload a test structured table file. Verify that field mapping automatically matches successfully, manually correct mismatched fields, and confirm imports complete without errors.
- After configuring the scheduled task, manually trigger it once during the preset trigger window. Check task logs to confirm data parsing completed with no abnormal fields.
- Adjust the bulk operation concurrency to different ranges. Compare processing time and API return statuses, then select a value that meets business stability requirements.
- Test cross-domain communication via iframe. Trigger input box content synchronization, then confirm the send button can be clicked normally to submit content.
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.