What This Category’s Data Looks Like
The data for urban commercial bank financing daily reports is sourced from official information disclosure platforms of urban commercial banks, public trading data from the National Interbank Funding Center, and public statistical information from financial regulatory agencies. Data updates on a daily cycle, releasing trading and financing information from the previous trading day. The documentation uses structured tables as its core carrier, including fields such as disclosing institution name, financing type, counterparty, transaction amount, transaction interest rate, transaction date, and capital flow. The unit for transaction amount is ten thousand RMB. Transaction interest rates are marked as annualized levels, with no additional statistical values.
Constraints for Reference Provenance
These characteristics impose several core constraints on the reference provenance process. First, multi-source data requires unified source identification. The same financing information from different disclosure channels may use different field names, so field alignment must be completed. Second, the data updates on a T+1 daily cycle. A scheduled pull task matching this cycle must be configured to avoid recalling outdated or unreleased data. Third, some urban commercial banks have minor differences in their disclosure document formats. Custom parsing rules must be configured to adapt to different table layouts, ensuring accurate field extraction. Fourth, original disclosure links must be retained as provenance basis to enable subsequent verification of data authenticity.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SYNC_CRON | 0 8 * * * | Matches the T+1 release cycle of urban commercial bank financing daily reports, ensures complete previous trading day data is pulled, and is compatible with the scheduled task logic of the open-source version v4.8.21 |
PARSE_TABLE_STRUCT | Enabled | Adapts to structured table data formats, automatically extracts fields and table content, and reduces manual parsing errors |
FIELD_MAPPING_RULES | Configure using the mappings: "Disclosing Institution = Disclosing Institution Name/Transaction Subject", "Financing Amount = Transaction Amount/Trading Amount", "Annualized Interest Rate = Transaction Interest Rate/Financing Interest Rate" | Unifies field name differences across sources, ensuring consistent fields for provenance data |
ORIGIN_LINK_SAVE | Enabled | Retains original disclosure links as provenance basis, meeting core reference provenance requirements |
RECALL_TIMEOUT | 600 seconds | The data volume of urban commercial bank financing daily reports is moderate; 600 seconds covers the full multi-source pulling and parsing process |
MAX_RECALL_SOURCE | Top 3 sources | Prioritizes three authoritative sources: official urban commercial bank disclosures, the interbank funding center, and regulatory agencies, to avoid interference from redundant data |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: The provenance interface is reachable, but the returned content field is empty. Cause: The
DATA_SYNC_CRONscheduled task is not configured, or task execution failed, resulting in no valid financing data being pulled. - Symptom: The original link of the knowledge base document cannot trigger a download on the frontend, and the jump fails after clicking. Cause: The domain name of the original disclosure link is not included in the nginx reverse proxy configuration range, causing the provenance link to fail to load normally.
- Symptom: The returned reference content has garbled characters, or the cell format of the structured table is disordered. Cause: The
PARSE_TABLE_STRUCTparameter is not enabled, or the encoding format of the urban commercial bank disclosure document is not adapted, resulting in character recognition errors during parsing.
How to Verify Correct Configuration
- View the knowledge base synchronization log to confirm that the scheduled pull task runs according to the configured cycle, with no failed error records.
- Manually trigger single-item data parsing, verify that the extracted fields match the preset mapping rules, with no missing or misaligned fields.
- Click the provenance link of any recall result to confirm that it can normally jump to the original disclosure page, with no access exceptions.
- View the generated reference content to confirm that there are no garbled characters or format disorder issues.
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.