What the data for this category looks like
Iron ore-related financial report data mainly comes from periodic financial reports of listed mining enterprises, supply and demand reports from industry associations, and futures delivery warehouse receipt data. Update frequencies include annual, quarterly, and monthly: annual financial reports are updated once per year, quarterly financial reports once per quarter, and industry monitoring reports once per month. Most documents are presented in tabular form, with fields such as iron ore grade, trading volume, settlement price, and port inventory. Common units include dry tons, yuan per wet ton, and ten thousand tons. Some documents include associated data from upstream and downstream supply chains.
What constraints do these characteristics impose on the document parsing and chunking process?
The multi-table structure of iron ore financial reports requires the parsing step to accurately identify field associations within tables, to avoid data fragmentation caused by extracting only plain text. The variety of units requires parsing to retain the binding between fields and units, to prevent data ambiguity. The batch update document scenario requires parsing to support parallel processing of multiple files, to avoid single-file parsing timeouts. Cross-page tables require chunking to retain complete table structure, without splitting cross-page content. The strong inter-field correlation of financial report fields requires chunking to retain the context of adjacent fields, ensuring logical integrity for subsequent analysis.
How to configure the settings
| Configuration Item | Recommended Value | Rationale for this Setting |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Iron ore financial reports present core data in tables, retaining table structure prevents data fragmentation |
PARSE_KEEP_UNIT | Enabled | Iron ore data has multiple unit types, retaining the binding between fields and units avoids data ambiguity |
MAX_PARSE_CHUNK_LENGTH | 800–1200 characters | Financial report data has dense fields, a moderate length retains contextual associations, avoiding overly fragmented or overly long chunks |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large financial report documents have large data volumes, reserving sufficient parsing time prevents mid-process timeouts |
BATCH_PARSE_MAX_COUNT | 20–30 | Adapts to monthly/quarterly batch update document scenarios, balances parsing efficiency and server load |
PARSE_CROSS_PAGE_TABLE_ENABLE | Enabled | Financial report tables often span multiple pages, retaining complete structure ensures logical coherence for subsequent analysis |
The parameter values provided on this page are common recommended 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 errors
- Phenomenon: When connecting to minerU document parsing, the custom parsing process cannot be triggered, and the returned result is plain text parsed by the system default. Reason: The API call address and authentication key of minerU are not filled in the parsing node configuration of FastGPT, and
parser_typeis not specified as the custom parser. - Phenomenon: After uploading a PDF financial report, the parsing result does not retain the table structure, only scattered text is extracted, or a doc2x parsing error prompt appears. Reason: The
PARSE_TABLE_ENABLEparameter is not configured correctly, or the doc2x parsing service has a temporary exception and the retry mechanism is not triggered. - Phenomenon: When calling the knowledge base file collection creation API, PDF-specific parsing parameters cannot be specified, and a
400 Bad Requesterror is returned. Reason: Theparse_configfield is not correctly carried in the API request body, and the corresponding parsing parameters are not passed in the specified standard format.
How to confirm the configuration is correct
- Upload an iron ore financial report PDF containing multiple tables, check whether the tables in the parsing result are completely retained, and whether fields and units are correctly bound.
- Test the parsing duration of a single large financial report document in the parsing node configuration, adjust
PARSE_FILE_TIMEOUT_SECONDSto a value that does not trigger timeout errors. - Call the knowledge base file collection creation API, carry the
parse_configparameter to specify the PDF parsing mode, verify whether the returned result conforms to the expected parsing format. - Batch upload iron ore financial report documents, check the completion status of parsing tasks, confirm that there are no batch parsing failures.
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.