What this category of data looks like
Data sources include daily deposit, loan, and wealth product yield announcements published on official commercial bank portals, plus official interest rate reference data from financial regulatory authorities. Data is aggregated during a fixed daily time window. Daily product yield data is officially released the following morning. Documents use a standardized structured table format with four core fields: product category, term range, yield value, and release date. Each field follows a consistent format:
- Product category: text labels
- Term range: time interval descriptions
- Yield value: standardized numerical values
- Release date: standard date formats
Constraints on form and interaction workflows
The official data source, fixed update schedule, structured document format, and core field characteristics of large state-owned bank yield data create multiple constraints for form and interaction workflows. First, preset field mapping rules to align structured table data imported into the knowledge base with fields used in subsequent broadcast interaction components. This prevents field misalignment that causes incorrect broadcast content. Second, set data sync trigger timing to match the daily update schedule. This avoids pulling empty data before official release, which harms interaction accuracy. Third, build interaction components that map to the product category and term range fields from the source document. This supports user filtering by dimension and speeds up information access. Fourth, restrict imported file size and format. Only accept structured tables matching the official document structure, and filter unstructured mixed content. This ensures consistent data source quality.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_FIELD_MAPPING | product category: product category, term range: term range, yield value: yield value, release date: release date | Matches the core fields of large state-owned bank daily reports, ensures aligned fields after import, and prevents broadcast content misalignment |
SYNC_DATA_INTERVAL | 86400 seconds | Large state-owned bank yield data updates once daily. This interval matches the release schedule and avoids pulling unreleased empty data |
FORM_FILTER_FIELDS | product category, term range | The source document includes two core filtering dimensions. This configuration narrows broadcast scope and improves interaction precision |
UPLOAD_FILE_MAX_SIZE | 10 MB | Large state-owned bank daily reports are mostly small structured tables. Files exceeding this size are mostly unstructured mixed content that does not meet data source requirements |
PARSE_FILE_TIMEOUT_SECONDS | 30 seconds | Small structured tables have short parsing times. This timeout setting avoids unnecessary waiting and improves import efficiency |
topK | Top 10 entries | Daily broadcasts only need to display core daily product data. Excessive entries harm interaction experience and align with user needs for quick information access |
The parameter values provided on this page are common 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 Mistakes
- When importing into the knowledge base and selecting the question-answer split mode, the
Invalid array lengtherror occurs consistently. The cause is that thePARSE_TABLE_FIELD_MAPPINGparameter is not configured, or the field mapping array is empty. This prevents the system from recognizing the structured table field structure, triggering an array length validation failure. - Voice input in the chat interface displays the
token validation failederror. The cause is that no field adaptation rules for speech recognition are configured. Large state-owned bank yield data mostly uses structured fields. Speech recognition output text fails to match the preset field mapping rules, causing a validation failure. - Workflow calls to the data sync tool return a 400 error. The cause is that the
SYNC_DATA_INTERVALparameter is not configured, or the interval setting does not match the data update schedule. This causes the requested data source interface to return empty data or format errors, triggering an interface validation failure.
How to Confirm Proper Configuration
- Import a single large state-owned bank yield daily report, and verify that parsed fields in the knowledge base match the preset field mapping configuration.
- Manually trigger a data sync, and confirm that the sync operation completes within the window aligned with the data update schedule, with no empty data or format exception prompts returned.
- Configure filter components in the interaction interface, and verify that the filter function triggers correctly and returns matching category data entries.
- Submit a test voice query, and confirm that the system correctly identifies query conditions and matches preset field rules, with no error messages generated.
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.