What data for this category looks like
Industrial metals research report data comes from public industry association reports, futures exchange market data, and public analysis documents from leading mining and processing enterprises. Update cycles cover daily reports (spot prices, intraday market trends), weekly reports (inventory data, weekly supply and demand), monthly reports (supply and demand balance sheets, capacity data), and quarterly and annual industry trend research reports. Documents typically include standardized sections: supply and demand data tables, price trend charts, policy interpretations, capacity and inventory statistics. Core fields include metal prices (mostly quoted in USD/ton or CNY/ton), inventory (measured in ten thousand tons), capacity (measured in ten thousand tons/year). Some research reports also include technical parameters such as smelting energy consumption and processing fees.
What constraints do these characteristics impose on the document parsing and chunking link
The multi-source heterogeneous nature of industrial metals research reports requires the parsing link to adapt to standardized tables and chart text across different formats, to avoid broken data associations. Frequently updated documents have fixed section structures, and long documents account for a large share. The chunking link must balance segment length and context retention to avoid disrupting data logic. Research reports from different sources have unit differences, such as tons versus kilograms and USD versus CNY. Initial unit format alignment must be completed during the parsing stage, otherwise it will affect the accuracy of subsequent retrieval. In addition, research reports contain a large number of professional technical parameters. When chunking, the contextual association between parameters and their corresponding scenarios must be retained to avoid isolated information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | The block content of supply and demand tables and supply and demand balance sheets in industrial metals research reports is relatively large. An overly long chunk will lose contextual association, while an overly short chunk will destroy data integrity |
chunkOverlap | 150–200 characters | Price and inventory data in industrial metals research reports are often associated across paragraphs. Overlapping segments can retain the contextual logic of data |
PARSE_TABLE_ENABLE | Enabled | Industrial metals research reports contain a large number of standardized supply and demand, inventory, and capacity tables. Enabling this option can fully retain table structures and field associations |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Monthly industrial metals research reports usually have a large number of pages and take a long time to parse. This value prevents routine long document parsing from timing out and interrupting tasks |
ENABLE_UNIT_NORMALIZATION | Enabled | Industrial metals research reports from different sources have unit differences. Enabling this option can unify unit formats to facilitate subsequent retrieval and data comparison |
RECALL_CHUNK_COUNT | Top 6–8 entries | Core data of industrial metals research reports is scattered across multiple segments. An appropriate number of recalls can cover complete information dimensions |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Uploaded industrial metals research report PDFs have no table content after parsing, or table fields are disordered and data is missing. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled, or the table structure retention rule is not enabled, causing standardized supply and demand, inventory, and capacity tables to be broken into plain text and losing field associations. - Phenomenon: Parsing tasks take a long time to respond, or return a
504 Gateway Timeouterror. Cause: The setPARSE_FILE_TIMEOUT_SECONDSvalue is lower than 300 seconds. Monthly industrial metals research reports usually have a large number of pages, and parsing time exceeds the threshold, causing task interruption. - Phenomenon: Some industrial metals research report PDFs cannot be parsed, returning a
PARSE_FAILED_UNSUPPORTED_FORMATerror. Cause: The file contains permission encryption or non-standard PDF format, and the corresponding compatible parsing rules are not configured, causing text extraction failure.
How to confirm the configuration is correct
- Upload a standard monthly industrial metals research report PDF, check the parsed segmented content, and confirm that supply and demand tables are fully retained and fields are not disordered.
- Check the parsing task log, confirm that the task time does not exceed the preset
PARSE_FILE_TIMEOUT_SECONDSvalue, and there are no timeout errors. - Retrieve core data fields in the research report, confirm that the returned results have unified unit formats and no obvious unit confusion issues.
- Test multiple industrial metals research reports from different sources, such as industry association reports and futures market weekly reports, and confirm that the parsing and chunking processes can execute normally.
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.