What Data Looks Like for This Category
Iron ore due diligence data comes from three main channels: global commodity price data platforms, regional commodity exchanges, and official public reports from major global ports. Update cadence falls into two categories: price data updates daily after market close, while inventory and product quality inspection data is released weekly or on demand. Most documents use structured CSV or Excel formats, with fields including grade, moisture content, particle size, origin, CIF price, FOB price, port inventory, and more. A single original document has tens to hundreds of rows. Bulk aggregated documents can reach a total size of hundreds of megabytes.
What Constraints Do These Characteristics Impose on Workflow Orchestration?
Scattered data sources with different update times require workflows to support multi-source parallel trigger nodes. This avoids overall process delays caused by single-source latency. Field units are mixed: some data uses dry ton pricing, others use wet ton pricing. A standardized cleaning node must be configured before the workflow to unify pricing units and field formats. A single due diligence report must associate multiple document types including price, inventory, and quality inspection data. This requires workflows to support parallel parsing of multiple files and cross-document field association. Data timeliness requirements are high. Workflows must adapt to short-cycle updated data sources, avoiding overly long scheduled trigger intervals.
How to Set the Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Iron ore original documents are mostly bulk CSV/Excel files, single-file parsing takes longer, 300 seconds covers most scenarios |
UPLOAD_FILE_MAX_SIZE | 500 MB | Bulk port inventory reports and product quality inspection sheets have large per-package sizes, 500 MB meets bulk upload requirements |
maxContext | 8000 characters | Iron ore due diligence reports need to associate multi-dimensional data, 8000 characters can fully carry structured fields after a single batch parse |
Cycle Trigger Interval | 1440 minutes | Iron ore price data updates daily, 1440 minutes (24 hours) matches standard update frequency |
Node Retry Count | 3 times | Occasional fluctuations in data source interfaces, 3 retries reduces task failure rate caused by network fluctuations |
Similarity Threshold | 0.75 | Matching iron ore origin and quality fields needs to balance accuracy and recall, 0.75 filters redundant data with low matching degrees |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After uploading an image, an IP address plus port link is returned instead of a custom domain. Cause: The file storage domain mapping rule was not modified in system configuration, and the intranet IP and port set during deployment are used by default.
- Phenomenon: The workflow loop node runs without a termination judgment, falling into an infinite loop. Cause: The loop termination condition was not configured correctly, and the judgment result of the question classification node was not bound as the exit basis.
- Phenomenon: The output field of the question classification node is empty, and subsequent AI conversation nodes cannot be triggered. Cause: No corresponding trigger rules were configured for the classification tags, or the input text did not match the preset classification keyword library.
How to Confirm the Configuration Is Correct
- Upload a single iron ore quality inspection report image, verify that the returned file link uses the configured custom domain and does not use the IP address plus port format.
- Trigger a workflow once, review the execution logs of the loop node, confirm that the workflow automatically terminates when the question classification node returns the "correct" tag.
- Configure a test case for the question classification node, input text matching iron ore quality descriptions, confirm that the node outputs the corresponding classification tag and the field is not empty.
- Upload bulk iron ore inventory reports, verify that the parsed fields have completed unit standardization and are uniformly converted to the target pricing unit.
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.