What the data for this category looks like
The data for tourist attraction intelligent due diligence reports comes mainly from official public annual reports of attractions, filing documents from cultural and tourism authorities, monthly operation ledgers of attractions, infrastructure maintenance archives, and qualification certificates of partners. There are two update cycles for the data: filing materials are updated annually or quarterly, while operation data is updated monthly.
Most documents are a mix of structured and semi-structured formats. Fixed sections include attraction overview, passenger flow statistics, revenue composition, list of qualification documents, details of surrounding supporting facilities, and more. Core fields include floor area, annual passenger reception volume, daily peak flow, ticket revenue, supporting business revenue, with corresponding units of square meters, passenger trips, passenger trips, ten thousand yuan, and ten thousand yuan respectively.
What constraints these characteristics impose on document parsing and chunking
Data sources include multiple file formats: official annual reports in PDF, operation monthly reports in Word, and passenger flow ledgers in Excel. This requires the parsing process to support mixed-format parsing and retain the row and column structure of tables.
Document lengths vary widely: annual due diligence reports can be dozens of pages long, while monthly ledgers are usually one or a few pages. Chunking must adapt to documents of different lengths, to avoid context limit overflow for long documents and over-fine chunking for short documents.
Core fields have fixed units. The parsing process must retain the binding relationship between fields and their units, and chunking must not split fields from their corresponding values. Some documents include scanned qualification files, so OCR parsing support is required to ensure full text extraction.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Annual tourist attraction due diligence reports include multiple sections and take longer to parse. 600 seconds covers complete parsing requirements for most long documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Tourist attraction due diligence reports often include multiple attached files. Setting the maximum upload threshold to 1000 MB fits most scenarios |
maxChunkSize | 800–1200 characters | Tourist attraction documents contain long paragraphs of passenger flow analysis and revenue explanations. This range retains semantic integrity while avoiding exceeding context window limits |
chunkOverlap | 100–150 characters | Core fields in tourist attraction documents are tightly bound to their corresponding values. Overlapping sections retain cross-chunk semantic associations and avoid field splitting breaks |
PARSE_TABLE_ENABLE | Enabled | Tourist attraction documents include large amounts of structured passenger flow and revenue table data. Enabling this setting retains complete row and column table structures and avoids messy parsed text |
OCR_ENABLE | Enabled | Some tourist attraction qualification documents are in scanned format. OCR is required to extract text content and ensure all document types are covered during parsing |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After uploading a tourist attraction due diligence report using a Docker-deployed version, the parsing progress gets stuck with no response. Cause: The corresponding parsing model image was not pulled in advance, so the parsing process cannot call necessary model resources.
- Symptom: After uploading an Excel passenger flow ledger for a tourist attraction, some revenue and passenger flow data fields are empty in the parsing results. Cause: The
PARSE_TABLE_ENABLEparameter was not enabled, so structured table data was not correctly extracted, leading to lost field content. - Symptom: After uploading a tourist attraction due diligence report, the interface shows a request failure, and the elapsed time is close to 2 minutes. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default timeout duration cannot cover the long document parsing process.
How to confirm the configurations are set correctly
- Upload a standard monthly operation ledger for a tourist attraction, check if the parsed result's table data retains complete row and column structures and unit information, to confirm that table-related parsing configurations are correct.
- Upload a scanned tourist attraction qualification document, check if the parsed result includes complete text content, to confirm that OCR parsing configurations are correct.
- Upload an annual tourist attraction due diligence report, wait for parsing to complete and check for timeout prompts, to confirm that the timeout parameter settings meet the document parsing time requirements.
- Export the configuration information of the current knowledge base, check if the values of parsing-related parameters match the preset configurations, to confirm that parameters were not accidentally modified.
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.