Model Integration and Configuration for Tourist Attraction Financial Report Analysis

Tourist attraction financial report data comes from multiple sources: ticket, catering, and accommodation revenue details from attraction operation

What the data for this category looks like

Tourist attraction financial report data comes from multiple sources: ticket, catering, and accommodation revenue details from attraction operation management systems, annual statistical submission forms from cultural and tourism authorities, public annual reports of listed attractions, and internal financial ledgers of unlisted attractions. Update frequency: Daily passenger flow and revenue details are updated daily. Monthly summary reports are updated monthly. Full annual financial reports are updated per fiscal year. Document formats include structured Excel reports and PDF annual reports. Fields cover passenger trips, revenue by category, labor and operation costs, profit items, and more. Common units are RMB yuan, trips, and percentage.

Multi-source, multi-format data requires adaptation to different parsing rules, increasing configuration complexity. Data with different update frequencies corresponds to different scheduled synchronization requirements. Synchronization cycles must be differentiated for daily passenger flow details, monthly summary reports, and annual financial reports. Financial report fields vary across attractions. Some attractions set exclusive seasonal revenue categories, so custom field mapping rules must be supported. The combination of long-text PDF annual reports and detailed reports increases context processing requirements. Adjustments to the model’s context window and recall strategy are required.

Configuration settings

Configuration ItemRecommended ValueRationale
maxContext8000–16000 charactersAdapts to the combination of detailed reports and annual reports included in attraction financial reports, and accommodates context content from multiple associated documents
RAG_RECALL_TOP_NTop 8–12 entriesRevenue and passenger flow data in attraction financial reports are highly correlated. Sufficient related entries must be recalled to avoid missing information
PARSE_FILE_TIMEOUT_SECONDS300–600 secondsReserve sufficient processing time when parsing PDF annual reports and large-volume Excel reports
UPLOAD_FILE_MAX_SIZE500–1000 MBAnnual financial reports may include multiple attachments and detailed data, adapting to large-volume document uploads
FIELD_MAPPING_RULECustom matching for attraction-specific fieldsFinancial report fields differ across attractions, requiring adaptation to exclusive categories such as ticket sales and secondary consumption revenue
PROMPT_COMPRESSIONEnabledOptimizes processing efficiency for long contexts, adapting to the multi-document combination scenario of attraction financial reports

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three common configuration mistakes

  • Phenomenon: The model’s financial report analysis omits some passenger flow detail data. Cause: The PROMPT_COMPRESSION configuration is not enabled, and long contexts are truncated, leading to loss of key information.
  • Phenomenon: Structured data fields returned when calling the knowledge base are empty. Cause: Custom field mapping rules are not configured, so the system cannot recognize exclusive classification fields in attraction financial reports such as secondary consumption revenue.
  • Phenomenon: Localized vision models or third-party open-source models cannot be connected. Cause: The proxy address and port for model integration are not correctly configured, or the input and output format requirements of the model are not matched.

How to confirm the configuration is complete

  • Upload a single annual financial report PDF and detailed Excel report for an attraction, check if the parsed text and fields are complete, and confirm that the upload and parsing configuration adapts to the current document.
  • Initiate a financial report analysis request, check if the returned results cover the three core analysis dimensions of revenue, passenger flow, and costs, and confirm that the recall and context configuration meets requirements.
  • Test the connected third-party model, check if analysis results can be returned normally, and confirm that the model integration address and format configuration are correct.
  • Trigger a custom field mapping test, check if the system can correctly recognize attraction-specific financial report fields, and confirm that the mapping configuration takes effect.

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.