What this category of data looks like
Coke industry investment research data comes from futures exchange announcements, industry association monthly reports, steel mill procurement ledgers, port inventory daily reports, and customs import and export data. Update frequencies cover daily (futures closing prices, port quotes), weekly (industry inventory trends), and monthly (association research reports). Document formats include native text PDF research reports, scanned on-site meeting minutes, multi-sheet structured Excel data tables, and industry analysis documents with visual charts. Core quality parameters include dry basis ash content, sulfur content, volatile matter, crush strength M40, and wear resistance M10. Units are mostly %, MPa, and yuan/ton. Some documents include additional detailed dimensions such as origin and delivery grade.
What constraints these characteristics impose on the document parsing and chunking step
Multi-source, heterogeneous document formats require the parsing stage to support three input types: native text, scanned images, and structured tables. A single parsing engine cannot cover all scenarios. High-frequency updated data requirements mean the batch parsing stage must support configurable timeout and concurrency parameters. This avoids parsing timeout failures for large monthly research report documents. Text dense with professional terminology requires the chunking stage to retain the link between terms and their corresponding values. This prevents specialized parameters from being split across different semantic chunks. Multi-sheet Excel data tables require the parsing stage to automatically recognize worksheet names. This avoids loss of data dimensions. Scanned document OCR requirements demand a balance between text extraction accuracy and retention of original images. This prevents loss of visual chart information.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
OCR_ENABLE | true | Coke industry investment research documents include large numbers of scanned meeting minutes and quality inspection reports. Professional text embedded in images must be extracted |
PARSE_STRUCTURED_EXCEL | true | Coke inventory and transaction data is mostly stored in multi-sheet Excel tables. All worksheet content must be automatically identified and extracted |
chunk_size | 800–1200 characters | Coke research reports contain continuous sequences of professional terminology. This range preserves complete semantic links between parameters and their corresponding values |
chunk_overlap | 100–150 characters | Professional term context across chunks must be retained. This avoids splitting parameters such as crush strength M40 and wear resistance M10 |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large monthly coke industry report PDFs include multiple pages of charts and bulk data. Sufficient time is required to complete parsing and chunking |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After uploading a scanned coke quality inspection report, the parsing result contains no valid text content. Cause: The
OCR_ENABLEconfiguration is not enabled, and only native text PDF documents are supported. - Issue: When parsing a multi-sheet Excel file with coke monthly data, only the first worksheet’s content is returned. Cause: The
PARSE_STRUCTURED_EXCELconfiguration is not enabled. Only data from the first worksheet is extracted by default. - Issue: The chunking result splits "crush strength M40 is 85%" into two separate segments. Retrieval cannot associate parameters with their corresponding values. Cause: The
chunk_sizesetting is too low, and thechunk_overlapparameter is not configured. Cross-chunk context is not retained.
How to confirm configurations are correctly set
- Upload a scanned coke quality inspection report. Check if the parsing result includes the quality inspection parameter text from the image. This verifies if the
OCR_ENABLEconfiguration is active. - Upload a coke monthly data Excel file with 3 or more worksheets. Check if the parsing result includes all worksheet names and their corresponding data. This verifies if the
PARSE_STRUCTURED_EXCELconfiguration is active. - Review the chunked text segments. Confirm that professional terms such as "dry basis ash content" and their corresponding values are not split across different chunks. Adjust the
chunk_sizeandchunk_overlapparameters to meet business needs. - Upload a single coke research report PDF that does not exceed the set limit. Check the completion time of the parsing task. This verifies if the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is reasonable.
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.