What this type of data looks like
Data sources include daily financing submission ledgers from local aquatic industry regulatory authorities and daily loan disbursement records from agricultural credit guarantee institutions. Full data for the previous day is updated every early morning. Each document uses a structured table format. Each record includes fields such as subject name, unified social credit code, financing type, application amount, actual disbursement amount, disbursement date, fund usage, approval institution, and approval status. The uniform unit for amounts is ten thousand yuan. Fund usage descriptions often include industry-specific terms such as seedling purchase, pond maintenance, and equipment update. Some regions have different column order in submitted documents.
Constraints for Deployment and Upgrade
Dispersed data sources and inconsistent formats require configuring multi-source data adaptation rules during deployment to avoid parsing failures caused by column order differences. Fixed daily update schedule requires matching the timing synchronization task cycle to the update rhythm, and retaining task execution nodes during upgrades to avoid interrupting daily data synchronization. Fields include specific formatted content such as unified social credit code and ten-thousand-yuan-level amounts, requiring configuration of corresponding data validation rules during deployment to ensure field format compliance. Fund usage is free text with industry-specific terms, requiring rapid iteration of custom entity recognition models during upgrades to adapt to newly added breeding scenario expressions. Daily average entry volume fluctuates with breeding seasons, requiring configuration of dynamically adjusted storage sharding thresholds during deployment to balance query efficiency and storage costs.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Aquaculture financing daily reports have a large number of entries per file but short per-entry parsing time. 300 seconds covers timeout requirements for batch parsing |
UPLOAD_FILE_MAX_SIZE | 500 MB | Aggregated files for single aquaculture financing daily reports typically do not exceed 200 MB. This value reserves reasonable buffer space |
CRON_SYNC_SCHEDULE | 0 1 2 * * * | Matches the rhythm of updating the previous day's data every early morning. System load is lower during early morning hours |
RECALL_TOP_K | Top 10 entries | Core business information of financing daily reports is concentrated in the most recent 10 records. Excessive recall increases redundant calculations |
VECTOR_STORE_SHARD_SIZE | 10000 entries/shard | Adapts to the fluctuation range of daily average entry volume, balancing query efficiency and storage costs for vector storage |
PLUGIN_CHART_ENABLED | Enabled | Meets business requirements for generating financing trend charts, matching core functions of the scenario |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Common Misconfigurations
- Symptom: Core fields are empty after file parsing, such as missing financing subject name or loan amount fields. Cause: Multi-source data column mapping rules are not configured. Different regions have inconsistent column order in submitted tables, leading to incorrect field matching during parsing.
- Symptom: Basic chart plugin outputs
noneand does not generate the expected chart URL. Cause: ThePLUGIN_CHART_ENABLEDconfiguration item is not enabled, or the incoming data source fields do not match the plugin's required numeric fields, such as failure to correctly associate the loan amount field. - Symptom: Scheduled synchronization tasks do not run, and daily data is not updated. Cause: The
CRON_SYNC_SCHEDULEconfiguration has an incorrect time format, or the system execution permission for scheduled tasks is not granted during deployment. Some older versions such as 4.8.22 have missing scheduled task permission configuration issues.
How to Verify Successful Configuration
- Manually upload a test aquaculture financing daily report file matching the business scenario, and verify that parsed fields fully match preset mapping rules.
- Trigger a scheduled synchronization task, and review system logs to confirm no errors and test data has been synchronized to the vector store.
- Call the basic chart plugin with verified data source parameters, and confirm returned content is non-empty and meets business format requirements.
- Check the uploaded file size limit configuration, upload a test file exceeding the corresponding threshold, and confirm system interception logic is activated.
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.