What this type of data looks like
Refining financing daily report data primarily comes from financial financing ledgers of refining enterprises, credit loan notices from partner banks, and daily updated data from industry supply chain financing platforms. Updates occur daily. Document lengths vary widely. It is recommended to calculate or test with one’s own samples first. The core carrier is structured tables, with small amounts of accompanying business explanatory text. Core fields include financing subject, financing amount, financing term, annual interest rate, collateral type, and loan institution. Some documents include crude oil purchase financing related information for corresponding batches.
Constraints on Document Parsing and Chunking
Structured tables account for a large proportion of refining financing daily reports, and cross-page merged cells are present. This causes standard parsing tools to fail to fully extract cross-page fields, so targeted table stitching logic is required. Additionally, financing amounts use both ten thousand yuan and hundred million yuan units. Automatic unit normalization must be completed after parsing, otherwise chunked values cannot be aligned uniformly. Daily batch-updated documents must be split and chunked by date dimension to avoid mixing content across daily reports. Professional collateral terms such as atmospheric distillation tower inventory and hydrocracking unit collateral must be retained as complete terms without forced splitting, to ensure subsequent retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Fields in refining financing daily reports are mostly combinations of short numerical values and professional terms. Segments that are too long will cause semantic confusion during retrieval, while segments that are too short will split complete fields across page tables. |
PARSE_TABLE_MERGE_CELL | Enabled | Adapts to cross-page merged tables in refining financing daily reports, fully extracting core fields such as cross-page financing amounts and collateral. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing time for a single financing daily report containing multi-page cross-page tables is longer than that for general documents. Extending the timeout period avoids parsing interruptions. |
TABLE_SPLIT_STRATEGY | Stitch by row groups | Stitches cross-page content according to the row logic of tables, ensuring the integrity of core fields such as financing subjects and amounts, without splitting by page number. |
SPECIAL_TERM_RECOGNITION | Enabled | Identifies refining professional terms such as hydrocracking units and atmospheric distillation towers, preventing forced splitting of terms. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some packaged documents for batch refining financing daily reports have large file sizes. Adjusting the upload upper limit adapts to batch processing needs. |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require individual analysis. Testing on one’s own samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Server returns 404 error when uploading files after deployment, while parsing works normally in local environments. Cause: Server-side file storage path mapping is not configured, causing the parsing node to fail to access the uploaded file directory.
- Phenomenon: Parsed financing amount fields are empty or have mixed units. Cause: Table merged cell configuration is not enabled, cross-page financing amount fields are split and cannot be matched, and unit normalization logic is not configured.
- Phenomenon: Professional collateral terms are split into multiple independent segments, making it impossible to match complete business requirements during retrieval. Cause: Professional term recognition configuration is not enabled, the default word segmentation logic splits refining professional terms, resulting in impaired field integrity.
How to Verify Successful Configuration
- Upload a single refining financing daily report containing cross-page tables, check if the parsed table is fully stitched with no field breaks.
- Batch upload multiple financing daily reports from different dates, check if chunked documents are split by date dimension with no mixed cross-date content.
- View the parsed field list, confirm that units of core fields such as financing amounts and collateral types are unified, with no mixed ten thousand yuan and hundred million yuan units.
- Test server-side file upload, confirm that the parsing node can normally access the file path with no 404 access errors.
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.