What data for this use case looks like
The data for automated equipment financing daily reports originates from three primary sources: dealer financing application systems of equipment manufacturers, transaction databases of third-party financial leasing institutions, and equipment financing filing data from industry credit reporting platforms. Data is updated once per day. Each data entry includes fields including equipment model, body serial number, financing party entity information, single loan amount, loan date, repayment cycle, and equipment application scenario. The unit for monetary amounts is Renminbi yuan. Repayment cycle units are natural months or natural days. Serial numbers and models use alphanumeric string formats. Most single-entry data text lengths range between 300 and 800 characters.
What constraints these characteristics impose on deployment and upgrade
The daily updated data source characteristics require configuring fixed-frequency scheduled synchronization tasks during deployment to avoid data delays or repeated pulls. The multi-field and format-differentiated characteristics require configuring field mapping verification rules during deployment to adapt to format differences in loan amount, body serial number, equipment model and other fields from different sources. The requirement that the body serial number serves as the unique business identifier requires enabling data deduplication configuration to avoid duplicate entry of the same financing record. The upgrade process must retain the old field mapping template while supporting the new equipment application scenario field, to prevent existing configuration failures caused by version upgrades.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | The parsed text for each automated equipment financing daily report entry ranges from 300 to 800 characters. Batch parsing time for a single batch usually does not exceed 300 seconds |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Daily financing daily report batch files contain hundreds of equipment financing records, with total sizes mostly between 1000 and 1800 MB |
rag_unique_key | Body Serial Number | The body serial number is the unique business identifier for each financing record, which effectively avoids repeated recall of the same equipment financing data |
SYNC_CRON_EXPRESSION | 0 0 1 * * | Financing daily reports are updated daily. Executing synchronization at 1:00 AM daily covers all previous day's transaction records |
FIELD_MAPPING_RULE | Set based on actual testing | Field naming varies across data sources. Adjust mapping relationships based on the actual connected data source. For example, map "loan_amount" from external systems to "loan amount" |
rag_similarity_threshold | 0.70–0.80 | Fields such as equipment model and serial number have high semantic similarity requirements. This range balances matching accuracy and recall rate |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Scenario: On platform version 4.8.22 deployed locally, file parsing returns empty results, and no error logs are present in System Settings > File Input module. Cause: The adaptation value for the
PARSE_FILE_TIMEOUT_SECONDSparameter was not configured, triggering timeout interruption during batch parsing of financing daily report files. - Scenario: On platform version 4.9, a basic chart plugin for financing daily report data is configured. Correct data source parameters are entered, but the result returns "none". Cause: The data source field whitelist required by the chart plugin was not enabled, preventing the plugin from reading core fields such as loan amount and loan date.
- Scenario: After upgrading the platform version, the original scheduled synchronization task fails to pull financing daily report data normally. Cause: The old
FIELD_MAPPING_RULEconfiguration was not retained during upgrade, causing incompatibility between old and new version field mapping rules.
How to confirm configurations are properly set
- Log in to the platform's file parsing module, upload a single sample file of automated equipment financing daily reports, and verify that the parsed fields match the preset
FIELD_MAPPING_RULE. - Manually trigger a scheduled synchronization task, check the task logs for records of successful data pulling and parsing, with no timeout or format error prompts.
- Configure a basic chart plugin, select imported financing daily report data, and verify that selectable fields include core items such as body serial number and loan amount.
- Check that
rag_unique_keyis bound to the body serial number field. Enter an equipment model in the RAG retrieval test, confirm that only financing records for the corresponding serial number are recalled.
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.