What the data for this category looks like
Tourist attraction financial report data mainly comes from publicly disclosed annual reports, semi-annual reports of listed attractions, and internal operation ledgers. The update cycle follows the fixed legal disclosure period of annual financial reports, while monthly operation data is updated according to the natural month. The document structure includes modules such as revenue details, passenger flow statistics, cost composition, and cash flow statements. Fields include tourist reception volume (unit: person-times), ticket revenue (unit: yuan), and per-capita consumption (unit: yuan/person-times). Attached documents such as time-split passenger flow tables and equipment operation and maintenance details are often included.
What constraints these characteristics impose on document parsing and chunking
The mixed document structure of attraction financial reports and operation ledgers requires parsing components to distinguish between structured reports and unstructured explanatory text. Frequently updated monthly documents must adapt to the efficiency requirements of batch parsing. Fields with clear units such as passenger flow and revenue need to retain unit associations to avoid semantic fragmentation after chunking. The multi-row and multi-column structure of time-split passenger flow tables requires retaining row and column relevance during chunking to prevent data confusion after splitting. In addition, attraction financial reports often come with independent operation ledger attachments, so parsing and chunking of nested documents must be supported to avoid missing sub-document content.
How to Configure Parameters
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parse_table_enable | Enabled | Attraction financial reports include structured tables such as passenger flow statistics and revenue details, which require retaining row and column relevance and complete data |
chunk_max_length | 800–1200 characters | The length of single-segment business descriptions or detailed data in attraction financial reports is moderate. This range balances semantic completeness and subsequent recall efficiency |
parse_ocr_enable | Enabled (for scanned financial reports) | Some publicly disclosed attraction financial reports are in scanned document format, and OCR is required to extract text content |
parse_nested_file_enable | Enabled | Attraction financial reports often come with nested attachments such as monthly operation ledgers and equipment operation and maintenance details, which require complete parsing of sub-document content |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large attraction financial reports include multiple attachments, which take longer to parse overall. Extending the timeout period prevents task interruptions |
split_overlap | 50–80 characters | Retains semantic connection between chunks, and avoids key business fields such as tourist reception volume and revenue being split across two chunks |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Some passenger flow details or table data are missing from parsed chunks. Cause: The
parse_table_enableconfiguration is not enabled, so the system fails to recognize structured table content and extract it completely. - Phenomenon: Table-format attraction financial report files cannot be selected when creating a knowledge base. Cause: The
parse_table_enableconfiguration is not enabled, so the system does not mark table files as parsable datasets. - Phenomenon: Parsing tasks time out and interrupt after uploading large attraction financial reports. Cause: The value of
PARSE_FILE_TIMEOUT_SECONDSis too low, and does not adapt to the parsing time of multi-attachment financial reports.
How to Verify Correct Configuration
- Upload a test scanned attraction financial report, check whether the parsed text includes complete table content to confirm that the
parse_ocr_enableconfiguration takes effect. - View the chunk list, verify whether the single chunk length conforms to the common structure of business documents to confirm that the values of
chunk_max_lengthandsplit_overlapare reasonable. - Upload a financial report file containing nested attachments, check whether the parsing result includes detailed data in the attachments to confirm that the
parse_nested_file_enableconfiguration takes effect. - Submit a parsing task, check whether the task status is completed within the preset time to confirm that the value of
PARSE_FILE_TIMEOUT_SECONDSadapts to the document scale.
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.