What data for this category looks like
Data for agrochemical intelligent due diligence reports comes from multiple sources: Ministry of Agriculture and Rural Affairs pesticide registration announcements, China Pesticide Industry Association weekly industry reports, public annual reports of manufacturing enterprises, customs import and export clearance data, and third-party quality inspection reports. Update rhythms vary across data types. Registration announcements are released according to approval progress. Weekly industry reports are updated weekly. Annual reports and import-export data are updated quarterly or annually. Most documents are structured tables and semi-structured reports. They include fields such as product registration certificate numbers, active ingredient content, dosage form, manufacturing enterprise qualifications, toxicity ratings, and compliance test indicators. Active ingredient content units are mostly mass percentage or grams per liter. Registration certificate validity period is a date-type field.
What constraints do these characteristics impose on deployment and upgrade
Multi-source heterogeneous data characteristics of agrochemical products create multiple constraints for deployment and upgrade workflows. Differing update rhythms across multi-source data require configuring scheduled synchronization tasks adapted to different cycles. This prevents data lag or duplicate synchronization. Structured fields carry industry-specific units and validation rules. Custom field mapping and validity check logic must be configured during parsing to block invalid data from entering the knowledge base. Some quality inspection reports use encrypted formats. Additional permission parameters for corresponding parsing plugins must be configured to ensure normal file parsing. For local deployments, adjust the concurrent processing threshold of background interfaces based on data volume. This avoids overload of synchronization tasks.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Agrochemical due diligence reports often contain multi-page quality inspection reports and industry data collections, with large single-file sizes. This setting adapts to large file upload requirements |
MINERU_UPLOAD_LIMIT | 2048 MB | The default 2MB limit is insufficient when calling local MinerU to parse large agrochemical reports. This adapts to the file specifications of agrochemical data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large agrochemical quality inspection reports take a long time to parse. This avoids interrupting the parsing process due to mid-process timeouts |
SYNC_JOB_INTERVAL | 3600 seconds | Adapts to the multi-source update rhythm of agrochemical data, balancing data timeliness and server resource usage |
MODEL_WORKFLOW_VISIBLE | true | Ensures configured models are visible in workflow nodes, resolving a common model visibility issue in version 4.14.4 |
FIELD_VALIDATION_ENABLE | true | Agrochemical data includes strongly validated fields such as toxicity ratings and compliance indicators. Enabling validation filters invalid data and improves the accuracy of due diligence reports |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Issue: In local deployments of version 4.14.4, configured enabled models do not appear in the workflow model node dropdown list. Cause:
MODEL_WORKFLOW_VISIBLEis not set totrue, so models are not exposed to workflow call scope. - Issue: A certificate error or failed connection occurs when accessing
https://ip:3000during local deployment. Cause: Local HTTPS certificates are not configured, or port 3000 is not properly opened for port mapping. Reverse proxy configuration may need adjustment in some environments. - Issue: When calling MinerU to parse agrochemical due diligence reports, an error "File size exceeds limit" is returned. Cause: The
MINERU_UPLOAD_LIMITconfiguration item was not modified, and the default 2MB limit is retained, which cannot adapt to the large file specifications of agrochemical data.
How to confirm configurations are correctly set
- Upload an agrochemical due diligence file containing multi-page quality inspection reports. Check if parsed fields are complete and units conform to industry specifications to confirm upload and parsing configurations are effective.
- Add a model call node in the workflow, check if the dropdown list includes configured models to confirm model visibility settings are correct.
- Start a manual synchronization task, check background logs for synchronization timeout or failure records. Adjust synchronization interval and parsing timeout configurations to adapt to the operational rhythm.
- Submit test data containing compliance fields, check if field validation interception is triggered to confirm data validation configurations are effective.
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.