What the data for this category looks like
Tourist attraction financial reports and operational data come primarily from internal ticket management systems, visitor reception ledgers, and third-party audited quarterly or annual financial report documents. Two update cycles apply: daily operational data is updated weekly or monthly, while officially disclosed compliant financial reports are updated quarterly or annually. Document structures typically include revenue breakdown details, labor and operation cost compositions, passenger flow statistics, and balance sheet-related entries. Fields include visitor reception trips, various business revenue amounts, per-visitor spending amounts, venue operation area, and more. Corresponding units are trips, yuan, yuan per visitor, and square meters.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The multi-dimensional data types and update cycles of tourist attraction financial reports create multiple constraints for multi-turn dialogue and prompt configuration. First, clearly distinguish statistical standards between daily operational data and official compliant financial reports. This prevents the model from mixing data across different cycles and causing analysis bias. Second, tourist attraction businesses have many detailed business segments. Prompts must explicitly specify which breakdown fields such as revenue, passenger flow to extract. This stops the model from using generalized classifications. Third, multi-turn dialogue must support users to ask follow-up questions about detailed segments layer by layer. For example, correlational analysis from total revenue to food and beverage revenue of a specific area. Fourth, official financial reports include audited compliant content. Prompts must clearly define usage boundaries between audited and non-audited data. This ensures analysis meets compliance requirements.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single tourist attraction financial report documents usually contain multiple pages of operational details and audit content. This range covers contextual associations for complete financial report segments |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large tourist attraction financial reports include multi-dimensional operational data and nested tables. Parsing takes longer, and this duration covers the full parsing process |
UPLOAD_FILE_MAX_SIZE | 500 MB | Tourist attraction financial reports may include attachments such as passenger flow statistics Excel files and operation ledger PDFs. This upper limit covers conventional attachment sizes |
Recall count | Top 6–8 results | Tourist attraction financial reports have many detailed business segments. Retrieving an appropriate number of segments ensures the model obtains sufficient classification detail information |
Similarity threshold | 0.75–0.85 | Revenue classification fields for tourist attractions have high recognizability. This threshold filters irrelevant content while retaining associated data for detailed business segments |
Chunk size | 1500–2000 characters | Operational data paragraphs in tourist attraction financial reports are long. This segment length retains complete contextual associations for business content |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, 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
- After uploading a tourist attraction financial report file, the data processing step returns null values or the error "No valid content detected". Cause: Tourist attraction financial reports often contain nested passenger flow statistics tables and ticket details. Default parsing rules do not adapt to this structured nested format.
- After initiating a multi-turn dialogue, application internal call logs and parameter details cannot be viewed in the conversation details page. Cause: The
Enabled对话日志configuration switch is not enabled. The system does not retain complete link records for application execution. - In a local deployment scenario, multi-turn dialogue sometimes executes normally and sometimes times out and throws an error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not fixed. When processing a tourist attraction financial report package with multiple attachments, parsing time exceeds the default threshold.
How to Verify Configuration is Complete
- Upload a tourist attraction quarterly financial report PDF and supporting passenger flow statistics Excel file. Wait for data processing to complete, then check the parsing status and extracted text preview of the file in the knowledge base list. Confirm there are no null values or format abnormalities.
- Initiate a dialogue containing the query "Query this month's ticket revenue". Enter the conversation details page, and confirm that application internal call links, parameter transfer and model response logs are present.
- Adjust the
maxContextparameter to a fixed value. Upload multiple tourist attraction financial report files to initiate multi-turn dialogue. Verify that no length limit exceeded errors occur during contextual correlational analysis. - Test multi-turn follow-up questions. For example, first ask "Total revenue", then ask "What is the proportion of food and beverage revenue". Confirm that the model can associate context to extract detailed breakdown fields.
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.