Data Profile for Iron Ore Research Reports
Data for iron ore research reports primarily comes from public data released by commodity information channels, industry statistical institutions, and port operators. Update frequencies are tiered: spot price data is updated daily, port inventory data is released weekly, and monthly supply and demand reports are finalized each month.
Typical document structures include four sections: market overview, core trading data, supply and demand balance analysis, and future market outlook. Core fields include the Platts Iron Ore Price Index, port inventory volume, import declaration volume, and mine shipment volume, with corresponding units such as yuan/ton, ten thousand tons, and tons. Some reports include historical data comparison tables.
Constraints for Tool Calling and Plugins
The tiered update schedule of iron ore research reports requires tool calling to support configuring multi-cycle pull tasks. These tasks synchronize daily spot prices, weekly port inventory data, monthly supply and demand reports, and other data with different timeliness, to avoid data lag or redundancy.
The fixed core fields and standard units require plugins to preset field mapping rules. These rules convert non-standard expressions in research reports to unified fields, and verify unit consistency to prevent numerical deviations in subsequent analysis.
The length of individual research reports varies widely, with in-depth reports reaching dozens of pages. Tool calling must support long text segment parsing to prevent parsing timeouts or content truncation.
Additionally, research reports often associate upstream and downstream data. Plugins must support cross-data source associated calls to integrate multi-dimensional information.
Recommended Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Longer in-depth iron ore research reports require sufficient parsing time to avoid mid-process timeout interruptions |
Segment Length | 800–1200 characters | Iron ore research reports contain large amounts of structured data tables. Segment length is adjusted to match the average length of table rows and paragraphs to avoid splitting that destroys data integrity |
Recall Count | Top 8–12 entries | Core indicators of iron ore research reports are concentrated. Excessive recall will introduce irrelevant content, while insufficient recall will fail to cover key data |
Similarity Threshold | 0.75–0.85 | Distinguish core data from background descriptions in research reports, and filter low-correlation non-core content |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some in-depth research reports include multi-page charts and raw data, requiring support for large file uploads |
API_CONCURRENT_LIMIT | 10–20 | Adapt to the concurrent call requirements of research report retrieval, avoiding overloading a single node |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Common Misconfigurations
- Phenomenon: A large amount of garbled text, lost table content, or abnormal Markdown format conversion appears after parsing PDF research reports. Cause: No structured document-compatible parsing plugin is configured, or the
Segment Lengthsetting is too small, destroying the complete structure of tables. - Phenomenon: Insufficient number of research report citations returned during retrieval, or an "insufficient citation limit" error message is triggered. Cause: The
Recall Countor related citation limit parameters are not adjusted, and the default configuration cannot cover the core data volume of iron ore research reports. - Phenomenon: Current limit errors occur when calling external tools to pull batch research report data. Cause: The
API_CONCURRENT_LIMITparameter is not adjusted, and the number of concurrent requests exceeds the system default limit.
How to Validate Configuration
- Upload a local iron ore research report PDF, check if the parsed text retains core data tables and price index fields, with no obvious garbled text or content truncation.
- Initiate a research report retrieval request, verify that the number of returned citations matches the configured
Recall Count, and confirm that the default citation limit restriction is not triggered. - Simulate multiple concurrent requests to call the tool interface, check that the system logs contain no concurrency limit-related errors, confirming that the concurrency configuration takes effect.
- Trigger a long document parsing task, confirm that no parsing timeout interruption prompt appears, and that it meets the configured duration requirements.
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.