What data for this category looks like
Hotel and catering financial report data comes from store operation systems, supply chain management systems, and internal audit working papers. Document formats include PDF scans, Excel ledgers, and Word compiled reports. Update cycles follow monthly, quarterly, and annual schedules. Document structures include fields such as store revenue details, ingredient cost categories, labor cost expenditures, and room occupancy data. Common units are CNY, customer visits, and room nights. Some documents include consolidated data across multiple stores.
Constraints on document parsing and chunking
The mixed-format nature of hotel and catering financial reports requires the parsing link to support both native Excel structured reading and high-precision OCR recognition for scanned PDFs. Specialized category-specific fields such as room nights and detailed ingredient purchase categories require chunking to preserve the association between fields and their corresponding accounting dimensions, avoiding context loss after splitting. Significant differences in document page counts exist between single-store and chain brand reports, so chunk length must adapt to content volumes for different document sizes. Excel files with multiple nested worksheets require accurate identification of accounting logic relationships between worksheets, preventing data fragmentation after splitting.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Scanned single-page reports or multi-worksheet Excel files for hotel and catering financial reports take longer to parse; 600 seconds covers parsing needs for most medium-sized documents |
enable_pdf_marker | Enabled | Most hotel and catering financial reports are either scanned documents or PDFs with complex tables; PDF Marker enables high-precision table recognition and OCR correction |
chunk_size | 800–1200 characters | Financial report fields are closely linked; chunk length must cover complete explanations for a single accounting dimension, avoiding field logic breaks after splitting |
chunk_overlap | 100–150 characters | Chunking must preserve context associations; overlapping length ensures coherent field logic across chunks |
UPLOAD_FILE_MAX_SIZE | 200 MB | Consolidated reports from chain brands have many attachments; single-file limit must adapt to the volume of documents for batch uploads |
excel_parse_sheet_mode | Parse in worksheet order | Excel files for hotel and catering financial reports often split worksheets by accounting cycle or store dimension; parsing in order preserves temporal and spatial associations of data |
The parameter values provided on this page are standard recommendations for starting point configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After enabling
enable_pdf_markerto parse hotel and catering financial report PDFs, the interface returns anOCR Errormessage. Cause: The scanned document contains blurry handwritten annotations or low-resolution images, and the PDF Marker OCR engine cannot recognize some text content. - Symptom: When uploading Excel financial report files in Simple Mode of FastGPT 4.8.9, the large language model does not return parsed content. Cause: The automatic file parsing trigger rule is not configured, or the model's document parsing permission is not enabled correctly.
- Symptom: When parsing large consolidated catering chain financial reports in a private deployment environment, FastGPT returns a
504 Gateway Timeouterror, but the parsing service log shows the task has completed. Cause: The value set forPARSE_FILE_TIMEOUT_SECONDSis lower than the actual parsing time, and the timeout interrupts the synchronization of completed parsing results.
How to confirm correct configuration
- Upload a single-store monthly revenue Excel file, check if the parsed context includes all worksheet field contents, to verify the configuration effect of
excel_parse_sheet_mode. - Upload a scanned quarterly financial report PDF, check if the parsed result retains the row and column associations of the table, to confirm
enable_pdf_markeris correctly enabled. - Adjust the values of
chunk_sizeandchunk_overlap, upload documents of different volumes, and verify that the context logic after chunking is coherent with no field fragmentation. - Test uploading the maximum-sized target document, to confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration covers actual upload requirements.
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.