What data for this category looks like
Data for computer equipment intelligent due diligence reports comes primarily from official manufacturer specifications, third-party compliance test reports, equipment operation and maintenance ledgers, and bidding parameter documents. The update schedule follows new model launches, quarterly operation and maintenance inspections, or compliance annual reviews. Most document structures include hardware parameter tables, compliance test pages, batch traceability information, and fault record fragments. Fields include standardized parameters such as CPU model, memory capacity (unit: GB), storage capacity (unit: TB), power consumption (unit: W), and compliance certification numbers. Some documents include multi-page raw performance test data.
Constraints imposed by these characteristics on document parsing and chunking
For hardware parameters and fields tied to fixed units, retain the association between parameters and units during parsing to avoid semantic fragmentation after splitting. For raw performance test data fragments spanning over 1,000 pages, avoid truncating continuous parameter groups during chunking. Format differences across multiple source documents mean some scanned documents require OCR preprocessing, which increases parsing time. For document structures mixing structured parameter tables and unstructured fault records, retain information association for the same batch of equipment during chunking to prevent cross-equipment parameter confusion. In parallel multi-file processing scenarios, distinguish the independent context of single-device reports to avoid parameter crosstalk across files.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to the total file size of multi-page test reports for a single device, to avoid upload interception triggered by oversized files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Cover the parsing time of 1,000-page PDF documents, to prevent mid-parsing timeout interruptions for long texts |
chunk_size | 800–1200 characters | Balance the integrity of parameter fields and context relevance, to avoid truncating hardware parameter groups with units |
chunk_overlap | 100–150 characters | Retain parameter association information across chunks, to prevent loss of context when continuous performance test data is split |
enable_ocr | Enable based on document type | Enable for scanned third-party test reports, to adapt to parsing of non-editable format documents |
enable_paragraph_split | Disabled | Retain the structured layout of hardware parameter tables, to avoid automatic chunking destroying parameter associations within tables |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: Internal network-deployed equipment operation and maintenance ledger documents cannot extract valid content, while external web links parse normally. Cause: The internal domain whitelist or proxy access permission is not configured, causing the parsing service to fail to access internal network resources.
- Phenomenon: After multiple 1,000-page device reports are uploaded simultaneously, the parsing status of some files shows timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient to cover the parsing time of long documents. - Phenomenon: Hardware parameters and units are separated in chunking results, for example, "memory" and "16GB" are split into different chunks. Cause: The association parsing rule between parameters and units is not retained, or the chunk length is set too small, truncating continuous parameter lines.
How to confirm the configuration is properly set
- Upload a single 1,000-page device test report, check the status logs of the parsing task, and confirm that no timeout error is triggered during parsing.
- Export the chunking results, randomly select several chunks, and check whether hardware parameters and their corresponding units appear in the same chunk.
- Upload multiple device documents in different formats, and confirm that all parallel upload tasks normally enter the parsing queue and complete processing.
- For scanned test reports, enable
enable_ocrbefore uploading, and confirm that the parsing result includes the printed parameter content from the original document.
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.