What the Data for This Category Looks Like
Iron ore due diligence report data comes from three sources: public test reports from domestic coastal port commodity inspection institutions, mine shipment ledgers, and public market data from bulk commodity trading platforms. Update rhythms fall into three categories: Port arrival batch data updates daily. Physical and chemical test data syncs after each batch of shipments is completed. Monthly summary reports release each natural month. Documents combine structured and semi-structured formats. Each individual report includes three core modules: batch basic information, physical and chemical test records, and logistics tracking information. Fields include batch number, origin identifier, arrival time, grade value, impurity content value, particle size grading parameter, and pricing weight unit. Pricing weight unit uses dry metric tons. Particle size grading parameters use millimeters.
Constraints on Deployment and Upgrade
The multi-source, variable-update-rate nature of iron ore due diligence data creates multiple constraints for deployment and upgrade. Multi-source data covers three categories: port commodity inspection reports, mine shipment ledgers, and bulk commodity trading platform market data. Different data sources use different interface formats and field naming conventions. Configure unified field mapping rules during deployment to avoid data parsing mismatches. Different data sources have varying update frequencies. Deploy a scheduled task scheduling module to pull data at matching cycles. Adjust task trigger intervals and retry strategies during upgrades. Individual reports include many structured fields, with both numeric and identifier types. Preset field validation logic during deployment to ensure extracted test data is accurate. Monthly summary reports have large file sizes. Adjust file parsing timeout thresholds during deployment to prevent parsing interruptions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Matches the typical size of iron ore monthly summary reports to prevent large file upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the full parsing time for large iron ore reports to prevent mid-parsing interruptions |
DATA_SYNC_INTERVAL | 3600 seconds | Aligns with the daily update rhythm of port arrival data to ensure data timeliness |
FIELD_MAPPING_RULE | Preset mapping of "batch number → batch ID" | Unifies field naming differences across multi-source data to prevent data parsing mismatches |
COMPLIANCE_CHECK_TEMPLATE | Calibrated based on actual measurements | Adapts to compliance requirements in different regions to ensure due diligence reports meet local regulatory standards |
HTTP_REQUEST_TIMEOUT | 30 seconds | Matches the typical response duration of third-party data source interfaces to prevent data pull timeouts |
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 Mistakes
- The docker build command returns a directory not found error. The error message starts with the fragment
failed to solve: failed to comput. The cause is that the deployment script does not correctly map the local iron ore parsing rule file directory, so the build process cannot read necessary configuration files. - When passing an iron ore due diligence TXT file via an HTTP interface, the backend returns empty or incorrectly formatted result fields. The cause is that correct field mapping rules are not configured, so the backend cannot match uploaded file fields with standard due diligence report fields.
- After local deployment, single parsing takes too long to complete processing of large monthly reports. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSvalue is not adjusted. The default timeout duration is insufficient to cover the parsing time of iron ore reports.
How to Confirm Proper Configuration
- Execute a local test upload of a single iron ore batch report. Verify the upload progress bar completes normally with no error prompts.
- Trigger a scheduled data sync task. Verify background logs include pull records for corresponding data sources with no timeout or field mismatch errors.
- Call an HTTP interface to pass a test TXT file. Verify returned result fields match the preset iron ore due diligence report fields.
- Restart the service after adjusting configuration parameters. Verify system logs load the latest compliance check template with no configuration load failure prompts.
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.