What this category’s data looks like
Data primarily comes from daily operation ledgers of property projects, bank financing approval receipts, and industry financing benchmarking statistical reports, updated to the same-day summary version each natural day. Most documents are structured Excel files or single-page PDFs, containing fields including statistical date, project name, actual property fee revenue, public area operating income, special maintenance fund balance, financing application amount, approval progress, and corresponding service park construction area. Amounts are measured in yuan, construction area in square meters, and there are no nested complex sub-table structures.
What constraints these characteristics impose on the document parsing and chunking link
Structured fields are split into two business modules: operation and financing. Cross-business module mixed chunking must be avoided to prevent recall bias. The high-frequency daily update feature requires the parsing process to limit processing time to adapt to batch processing scenarios. Some fields have cross-page or cross-table association relationships, so context association must be retained to avoid information breaks. For Excel formats with merged cells and nested multi-level headers, field attribution must be accurately identified to prevent post-parsing field misalignment.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | The data volume of a single property management financing daily report is moderate. 300 seconds covers standard PDF/Excel parsing workflows, adapting to the high-frequency daily batch update scenario |
maxChunkSize | 800–1000 characters | Most fields in this type of daily report are short numerical values or status text. This range balances chunk information completeness and recall accuracy |
chunkOverlap | 100–150 characters | Business association across fields of the same project must be preserved. For example, financing amount and approval status must appear in adjacent chunks |
UPLOAD_FILE_MAX_SIZE | 50 MB | A single summary financing daily report file typically does not exceed 20 MB. This value reserves reasonable redundant space |
parse_mode | structured_only | This type of document consists primarily of structured data, only requiring extraction of valid business fields and avoiding parsing unnecessary decorative content |
excel_parse_header_row | 1 | The header for this type of daily report is fixed in the first row, with no prefixed explanatory content |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: When using markerpdf to parse PDF-format financing daily reports, FastGPT returns a
504 Gateway Timeouterror, while the parsing service log indicates parsing was successful. The cause is that the `PARSEFILETIMEOUTSECONDS` configuration value is set too short, failing to cover the time required for cross-page parsing of this type of daily report. - Symptom: After uploading an Excel-format financing daily report, some fields are empty or misaligned. The cause is that the
excel_parse_header_rowparameter is not configured correctly, with data rows mistakenly identified as headers, leading to incorrect field mapping relationships. - Symptom: When calling document content in a workflow, financing-related chunked content is not recalled. The cause is that
maxChunkSizeis set too large, mixing operation and financing fields in the same chunk, causing irrelevant information to dilute target content during recall.
How to confirm the configuration is correct
- Upload a single standard property management financing daily report file, view the parsed chunk list, and confirm each chunk only contains field content from a single business module.
- Test batch uploading 3 daily report files from consecutive dates, and confirm parsing time does not exceed the preset
PARSE_FILE_TIMEOUT_SECONDSthreshold. - Call the document recall interface, enter a query term related to financing amount, and confirm returned chunks include corresponding approval status and application amount fields.
- Check the Excel file parsing result, confirm the header row and actual data row mapping relationship is correct, with no field misalignment.
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.